Interaction method and system combining 5G and big data platform
1. An interaction method of a 5G combined big data platform, wherein first intelligent glasses are worn by a driver of a first vehicle, and the first intelligent glasses are in communication connection with the first vehicle, and the method comprises the following steps:
the first intelligent glasses take pictures of a target certificate shown by a driver of the first vehicle to obtain a target certificate image; acquiring key information of the target certificate from the target certificate image as certificate information; and transmitting the credential information to the first vehicle;
the first vehicle acquires the certificate information and reports first interaction information to the big data platform through a 5G network, wherein the first interaction information at least comprises the certificate information;
the big data platform inquires whether an authorized payment code of the first vehicle associated with the certificate information is stored, and if the authorized payment code of the first vehicle is stored, the authorized payment code of the first vehicle is sent to the first vehicle through a 5G network;
the first vehicle sending an authorized payment code for the first vehicle to the first smart glasses;
the first intelligent glasses project an authorized payment code of the first vehicle by utilizing the light projection assembly; when the authorized payment code of the first vehicle is projected on a window glass on one side of the first vehicle close to a code scanning terminal on a manual toll collection channel of a highway toll station, a camera of the code scanning terminal scans the authorized payment code of the first vehicle to execute toll collection for the first vehicle.
2. The 5G interaction method combined with the big data platform according to claim 1, wherein the acquiring, by the first smart glasses, key information of the target certificate from the target certificate image as certificate information comprises:
the first intelligent glasses determine the certificate type of the target certificate according to the target certificate image;
the first intelligent glasses determine an information acquisition template corresponding to the certificate type according to the certificate type; the information acquisition template is used for recording key areas corresponding to the certificate types;
and the first intelligent glasses acquire key information of the target certificate from a key area corresponding to the certificate type in the target certificate image as certificate information according to the information acquisition template.
3. The interaction method of claim 2, wherein the certificate category of the target certificate comprises an identity card, and the key information of the target certificate comprises name, gender, birth year, month, date, address and identity card number.
4. The 5G interaction method combined with the big data platform according to any one of claims 1 to 3, wherein a first smart car key is used as the smart car key configured for the first vehicle, the first vehicle is a one-key starting vehicle, the first interaction information further includes a first graphic track, and then after the first vehicle acquires the certificate information and before the first interaction information is reported to the big data platform through a 5G network, the method further includes:
the first vehicle detects a graph track drawn by the first intelligent vehicle key in the first vehicle as the first graph track by using UWB technology within a specified time;
after the big data platform queries for authorized payment of the first vehicle stored in association with the credential information, the method further comprises:
and the big data platform checks whether the first graph track is the same as a legal graph track configured by the authorized payment code of the first vehicle, and if so, the step of sending the authorized payment code of the first vehicle to the first vehicle through the 5G network is executed.
5. The 5G interaction method combined with big data platform of claim 4, wherein the first interaction information further comprises a first orientation in which the first smart car key is kept unchanged all the time during the first smart car key draws the first graphic track in the first vehicle; after the big data platform verifies that the first graph track is the same as a legal graph track configured by the authorized payment code of the first vehicle, the method further comprises the following steps:
and the big data platform checks whether the first orientation is the same as the intelligent vehicle key sliding orientation configured by the authorized payment code of the first vehicle, and if so, the step of sending the authorized payment code of the first vehicle to the first vehicle through the 5G network is executed.
6. An interactive system combining 5G and a big data platform, comprising at least a first smart glasses, a first vehicle and a big data platform, wherein the first smart glasses are worn by a driver of the first vehicle, and the first smart glasses are in communication connection with the first vehicle, wherein:
the first intelligent glasses are used for photographing a target certificate shown by a driver of the first vehicle to obtain a target certificate image; acquiring key information of the target certificate from the target certificate image as certificate information; and transmitting the credential information to the first vehicle;
the first vehicle is used for acquiring the certificate information and reporting first interaction information to the big data platform through a 5G network, wherein the first interaction information at least comprises the certificate information;
the big data platform is used for inquiring whether an authorized payment code of the first vehicle associated with the certificate information is stored, and if the authorized payment code of the first vehicle is stored, the authorized payment code of the first vehicle is sent to the first vehicle through a 5G network;
the first vehicle is further used for sending an authorized payment code of the first vehicle to the first smart glasses;
the first intelligent glasses are further used for projecting an authorized payment code of the first vehicle by utilizing the light projection assembly; when the authorized payment code of the first vehicle is projected on a window glass on one side of the first vehicle close to a code scanning terminal on a manual toll collection channel of a highway toll station, a camera of the code scanning terminal scans the authorized payment code of the first vehicle to execute toll collection for the first vehicle.
7. The interactive system combining 5G and the big data platform according to claim 6, wherein the manner in which the first smart glasses obtain the key information of the target certificate from the target certificate image as the certificate information is specifically:
the first intelligent glasses determine the certificate type of the target certificate according to the target certificate image;
the first intelligent glasses determine an information acquisition template corresponding to the certificate type according to the certificate type; the information acquisition template is used for recording key areas corresponding to the certificate types;
and the first intelligent glasses acquire key information of the target certificate from a key area corresponding to the certificate type in the target certificate image as certificate information according to the information acquisition template.
8. The interactive system of claim 6, wherein the target document comprises an identity card, and the key information of the target document comprises a name, a gender, a birth year, month, day, address and an identity card number.
9. The 5G interaction system combined with a big data platform according to any one of claims 6 to 8, further comprising a first smart car key, wherein the first smart car key is configured as a smart car key for the first vehicle, the first vehicle is a one-key start vehicle, and the first interaction information further comprises a first graphical track, then:
the first vehicle is further configured to detect, within a specified time period, a graph track scribed in the first vehicle by the first smart key as the first graph track by using a UWB technology after acquiring the certificate information and before reporting the first interaction information to the big data platform through a 5G network;
the big data platform is further configured to check whether the first graph track is the same as a legal graph track configured by the authorized payment code of the first vehicle after the authorized payment of the first vehicle associated with the certificate information is stored, and if so, execute the step of sending the authorized payment code of the first vehicle to the first vehicle through the 5G network.
10. The 5G interaction system in combination with a big data platform of claim 9, wherein the first interaction information further comprises a first orientation in which the first smart car key remains unchanged at all times during the first smart car key draws the first graphical track in the first vehicle; then:
the big data platform is further configured to verify whether the first orientation is the same as a sliding orientation of a smart key configured with the authorized payment code of the first vehicle after verifying that the first graphic track is the same as a legal graphic track configured with the authorized payment code of the first vehicle, and if so, execute the step of sending the authorized payment code of the first vehicle to the first vehicle through a 5G network.
Background
At present, the common code scanning payment mode of a highway toll station is as follows: the driver who is located the vehicle looks for the payment APP in the cell-phone to verification information such as input password or fingerprint starts the payment APP, and opens the payment code in this payment APP, then descends window glass and grips the cell-phone and stretch out the door window with the cell-phone, so that sweep a yard terminating machine on the artifical charging passageway and scan this payment code through the camera in order to accomplish the toll collection.
In practice, the code scanning payment mode of the highway toll station depends on the mobile phone of a driver, and the code scanning payment cannot be carried out under the condition that the driver forgets to carry the mobile phone.
Disclosure of Invention
In order to overcome the technical defects, the embodiment of the application discloses an interaction method and system combining 5G and a big data platform.
The embodiment of the application discloses in a first aspect an interaction method combining 5G and a big data platform, wherein first intelligent glasses are worn by a driver of a first vehicle, and the first intelligent glasses are in communication connection with the first vehicle, and the method comprises the following steps: the first intelligent glasses take pictures of a target certificate shown by a driver of the first vehicle to obtain a target certificate image; acquiring key information of the target certificate from the target certificate image as certificate information; and transmitting the credential information to the first vehicle;
the first vehicle acquires the certificate information and reports first interaction information to the big data platform through a 5G network, wherein the first interaction information at least comprises the certificate information;
the big data platform inquires whether an authorized payment code of the first vehicle associated with the certificate information is stored, and if the authorized payment code of the first vehicle is stored, the authorized payment code of the first vehicle is sent to the first vehicle through a 5G network;
the first vehicle sending an authorized payment code for the first vehicle to the first smart glasses;
the first intelligent glasses project an authorized payment code of the first vehicle by utilizing the light projection assembly; when the authorized payment code of the first vehicle is projected on a window glass on one side of the first vehicle close to a code scanning terminal on a manual toll collection channel of a highway toll station, a camera of the code scanning terminal scans the authorized payment code of the first vehicle to execute toll collection for the first vehicle.
As an optional implementation manner, in a first aspect of an embodiment of the present application, a first smart vehicle key is used as the smart vehicle key configured for the first vehicle, the first vehicle is a vehicle started by one key, the first interaction information further includes a first graph track, and after the first vehicle acquires the certificate information and before the first interaction information is reported to the big data platform through a 5G network, the method further includes:
the first vehicle detects a graph track drawn by the first intelligent vehicle key in the first vehicle as the first graph track by using UWB technology within a specified time;
after the big data platform queries for authorized payment of the first vehicle stored in association with the credential information, the method further comprises:
and the big data platform checks whether the first graph track is the same as a legal graph track configured by the authorized payment code of the first vehicle, and if so, the step of sending the authorized payment code of the first vehicle to the first vehicle through the 5G network is executed.
As another optional implementation manner, in the first aspect of the embodiment of the present application, the first interaction information further includes a first orientation in which the first smart car key is always kept unchanged during the process that the first smart car key draws the first graphic track in the first vehicle; after the big data platform verifies that the first graph track is the same as a legal graph track configured by the authorized payment code of the first vehicle, the method further comprises the following steps:
and the big data platform checks whether the first orientation is the same as the intelligent vehicle key sliding orientation configured by the authorized payment code of the first vehicle, and if so, the step of sending the authorized payment code of the first vehicle to the first vehicle through the 5G network is executed.
As another optional implementation manner, in the first aspect of the embodiment of the present application, the first vehicle is a head vehicle in a certain fleet that plays a role in navigation and payment, and the first vehicle is provided with a payment agency list and a vehicle sequencing list, where the payment agency list includes unique identifiers of all or part of remaining vehicles in the fleet that need payment agency, except for the first vehicle; the vehicle sequencing list comprises a corresponding relation between the unique identification of each vehicle in the fleet and the sequencing serial number of the vehicle in the fleet, and after the first intelligent glasses projects the authorized payment code of the first vehicle by the light projection assembly, the method further comprises the following steps:
the first vehicle determines a time point when the first intelligent glasses projects an authorized payment code of the first vehicle by using the light projection component; determining a preset effective time period which takes the time point as an initial time point and takes a certain preset time length as an effective time length;
the first vehicle sends configuration information of authorized payment codes for the first vehicle to the big data platform through a 5G network, wherein the configuration information at least comprises a legal graphic track configured by the authorized payment codes of the first vehicle, a running direction of an intelligent vehicle key configured by the authorized payment codes of the first vehicle, the payment agency list, the vehicle sequencing list and the preset effective time period;
the big data platform configures the configuration information to an authorized payment code of the first vehicle associated with the certificate information;
the second vehicle detects a graph track drawn by a second intelligent vehicle key in the second vehicle as a second graph track by using UWB technology; the second vehicle is any vehicle of the fleet other than the first vehicle; the second intelligent vehicle key is used as an intelligent vehicle key configured for the second vehicle, and the second vehicle is a new energy vehicle started by one key;
the second vehicle sends second interactive information to the big data platform, wherein the second interactive information at least comprises a unique identity of the second vehicle, the second graph track and a second orientation of the second intelligent vehicle key which is always kept unchanged in the process that the second intelligent vehicle key draws the second graph track in the second vehicle;
after receiving the second interactive information, the big data platform judges whether the unique identity of the second vehicle is located in the payment agency list, if so, checks whether the second graphic track is the same as a legal graphic track configured by an authorized payment code of the first vehicle, if so, checks whether the second orientation is the same as a key sliding orientation of an intelligent vehicle configured by the authorized payment code of the first vehicle, and if so, determines a sequencing serial number of the second vehicle in the fleet from the vehicle sequencing list according to the unique identity of the second vehicle;
the big data platform judges whether the sequencing serial number of the second vehicle in the fleet is greater than or equal to a preset serial number or not, and if not, the preset effective time period is taken as an effective target time period;
the big data platform judges whether the time point of receiving the second interactive information is within the effective target time period, if so, an authorized payment code of the first vehicle is sent to the second vehicle;
after receiving the authorized payment code of the first vehicle, the second vehicle sends the authorized payment code of the second vehicle to second smart glasses; the second smart glasses are worn by a driver of the second vehicle, and the second smart glasses are in communication connection with the second vehicle;
the second intelligent glasses project the authorized payment code of the first vehicle by utilizing the light projection component; when the authorized payment code of the first vehicle is projected on a side window glass of the second vehicle close to the code scanning terminal, the camera of the code scanning terminal scans the authorized payment code of the first vehicle to execute toll collection for the second vehicle.
As another optional implementation manner, in the first aspect of this embodiment of the present application, the method further includes:
when the big data platform judges that the sequencing serial number of the second vehicle in the motorcade is greater than or equal to the preset serial number, calculating the absolute value of the difference value between the sequencing serial number of the second vehicle in the motorcade and the sequencing serial number of the first vehicle in the motorcade;
the big data platform obtaining a period increment, the period increment being proportional to the absolute value;
and the big data platform controls the preset effective time period to prolong the time period increment so as to obtain an effective target time period, and executes the step of judging whether the time point of receiving the second interactive information is positioned in the effective target time period.
The second aspect of the embodiment of the application discloses an interactive system combining 5G and a big data platform, at least comprising first intelligent glasses, a first vehicle and a big data platform, wherein the first intelligent glasses are worn by a driver of the first vehicle, and the first intelligent glasses are in communication connection with the first vehicle, wherein:
the first intelligent glasses are used for photographing a target certificate shown by a driver of the first vehicle to obtain a target certificate image; acquiring key information of the target certificate from the target certificate image as certificate information; and transmitting the credential information to the first vehicle;
the first vehicle is used for acquiring the certificate information and reporting first interaction information to the big data platform through a 5G network, wherein the first interaction information at least comprises the certificate information;
the big data platform is used for inquiring whether an authorized payment code of the first vehicle associated with the certificate information is stored, and if the authorized payment code of the first vehicle is stored, the authorized payment code of the first vehicle is sent to the first vehicle through a 5G network;
the first vehicle is further used for sending an authorized payment code of the first vehicle to the first smart glasses;
the first intelligent glasses are further used for projecting an authorized payment code of the first vehicle by utilizing the light projection assembly; when the authorized payment code of the first vehicle is projected on a window glass on one side of the first vehicle close to a code scanning terminal on a manual toll collection channel of a highway toll station, a camera of the code scanning terminal scans the authorized payment code of the first vehicle to execute toll collection for the first vehicle.
As an optional implementation manner, in a second aspect of this embodiment of this application, if the 5G interaction system combined with a big data platform further includes a first smart car key, the first smart car key is used as a smart car key of the first vehicle configuration, the first vehicle is a one-key start vehicle, and the first interaction information further includes a first graphic track, then:
the first vehicle is further configured to detect, within a specified time period, a graph track scribed in the first vehicle by the first smart key as the first graph track by using a UWB technology after acquiring the certificate information and before reporting the first interaction information to the big data platform through a 5G network;
the big data platform is further configured to check whether the first graph track is the same as a legal graph track configured by the authorized payment code of the first vehicle after the authorized payment of the first vehicle associated with the certificate information is stored, and if so, execute the step of sending the authorized payment code of the first vehicle to the first vehicle through the 5G network.
As another optional implementation manner, in the second aspect of the embodiment of the present application, the first interactive message further includes a first orientation in which the first smart car key is always kept unchanged during the process that the first smart car key draws the first graphic track in the first vehicle; then:
the first vehicle is further configured to verify whether the first orientation is the same as a sliding orientation of a smart key configured by the authorized payment code of the first vehicle after verifying that the first graphic track is the same as a legal graphic track configured by the authorized payment code of the first vehicle, and if so, execute the step of sending the authorized payment code of the first vehicle to the first vehicle through a 5G network.
As another optional implementation manner, in the second aspect of the embodiment of the present application, the first vehicle is a head vehicle in a certain fleet that plays a role in navigation and payment, and the first vehicle is provided with a payment agency list and a vehicle sequencing list, where the payment agency list includes unique identifiers of all or some of the remaining vehicles in the fleet that need payment agency, except the first vehicle; the vehicle sequencing list comprises the corresponding relation between the unique identification of each vehicle in the fleet and the sequencing serial number of the vehicle in the fleet, and then:
the first vehicle is further used for determining a time point when the first intelligent glasses project the authorized payment code of the first vehicle by using the light projection component after the first intelligent glasses project the authorized payment code of the first vehicle by using the light projection component; determining a preset effective time period which takes the time point as an initial time point and takes a certain preset time length as an effective time length;
the first vehicle is further configured to send configuration information of an authorized payment code for the first vehicle to the big data platform through a 5G network, where the configuration information at least includes a legal graphic track configured by the authorized payment code of the first vehicle, a key stroke direction configured by the authorized payment code of the first vehicle, the payment agency list, the vehicle sequencing list, and the preset valid time period;
the big data platform is further used for configuring the configuration information to an authorized payment code of the first vehicle associated with the certificate information;
the interactive system further comprises a second vehicle, a second smart vehicle key, and second smart glasses, the second vehicle being any vehicle of the fleet other than the first vehicle; the second intelligent vehicle key is used as an intelligent vehicle key configured for the second vehicle, and the second vehicle is a new energy vehicle started by one key; the second smart glasses are worn by a driver of the second vehicle, and the second smart glasses are in communication connection with the second vehicle; wherein:
the second vehicle is used for detecting a graph track drawn by the second intelligent vehicle key in the second vehicle as a second graph track by using UWB technology;
the second vehicle is further configured to send second interaction information to the big data platform, where the second interaction information at least includes a unique identification of the second vehicle, the second graphic track, and a second orientation in which the second smart key is always kept unchanged in a process in which the second smart key draws the second graphic track in the first vehicle;
the big data platform is further used for judging whether the unique identity of the second vehicle is located in the payment agency list after receiving the second interactive information, if so, checking whether the second graphic track is the same as a legal graphic track configured by the authorized payment code of the first vehicle, if so, checking whether the second orientation is the same as a sliding orientation of an intelligent vehicle key configured by the authorized payment code of the first vehicle, and if so, determining a sorting serial number of the second vehicle in the fleet from the vehicle sorting list according to the unique identity of the second vehicle;
the big data platform is further used for judging whether the sequencing serial number of the second vehicle in the fleet is greater than or equal to a preset serial number or not, and if not, taking the preset effective time period as an effective target time period;
the big data platform is further used for judging whether the time point of receiving the second interactive information is within the effective target time period or not, and if so, sending an authorized payment code of the first vehicle to the second vehicle;
the second vehicle is further used for sending the authorized payment code of the second vehicle to the second intelligent glasses after receiving the authorized payment code of the first vehicle;
the second intelligent glasses project the authorized payment code of the first vehicle by utilizing the light projection component; when the authorized payment code of the first vehicle is projected on a side window glass of the second vehicle close to the code scanning terminal, the camera of the code scanning terminal scans the authorized payment code of the first vehicle to execute toll collection for the second vehicle.
As another alternative implementation, in the second aspect of the embodiments of the present application:
the big data platform is further used for calculating the absolute value of the difference value between the sequencing serial number of the second vehicle in the fleet and the sequencing serial number of the first vehicle in the fleet when the sequencing serial number of the second vehicle in the fleet is judged to be greater than or equal to the preset serial number;
the big data platform is further used for obtaining a time period increment, and the time period increment is in direct proportion to the absolute value;
and the big data platform is further used for controlling the preset effective time period to prolong the time period increment so as to obtain an effective target time period, and executing the step of judging whether the time point of receiving the second interactive information is located in the effective target time period.
Compared with the prior art, the embodiment of the application has the following beneficial effects:
in this application embodiment, can save the driver in the vehicle and look for the payment APP in the cell-phone to input authentication information such as password or fingerprint and start the payment APP, and open the payment code among this payment APP, thereby be favorable to promoting highway's the charge efficiency of artifical charge passageway, avoid causing artifical charge passageway to block up. In addition, the code scanning charging can be realized under the condition of no-falling of the window glass of the automobile, rain, snow, dust and the like are prevented from drifting into the automobile, and the sanitation in the automobile is facilitated; in addition, the embodiment of the application does not need the participation of the mobile phone of the driver, so that the method does not depend on whether the driver carries the mobile phone or whether the mobile phone is electrified or not.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram of a first embodiment of an interaction method of a 5G combined big data platform disclosed in the embodiments of the present application;
FIG. 2 is a schematic flow chart diagram of a second embodiment of the interaction method of the 5G combined with the big data platform disclosed in the embodiment of the present application;
FIG. 3 is a schematic flow chart diagram of a third embodiment of an interaction method of the 5G combined with a big data platform disclosed in the embodiments of the present application;
fig. 4 is a schematic structural diagram of an interactive system combining 5G and a big data platform disclosed in the embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "comprises" and "comprising," and any variations thereof, in the embodiments of the present application, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiment of the application discloses an interaction method and an interaction system combining 5G and a big data platform, and the following description is in detail with reference to the attached drawings.
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a 5G interaction method combined with a big data platform according to a first embodiment of the disclosure. In a first embodiment, first smart glasses are worn by a driver of a first vehicle, the first smart glasses being communicatively coupled to the first vehicle. As shown in FIG. 1, the interaction method of the 5G combined with the big data platform can comprise the following steps:
101. the first intelligent glasses take pictures of a target certificate shown by a driver of the first vehicle to obtain a target certificate image; acquiring key information of the target certificate from the target certificate image as certificate information; and transmitting the credential information to the first vehicle.
As an optional implementation manner, the first smart glasses may detect whether the first vehicle is about to reach the highway toll station set by the first vehicle through a shooting module arranged on the front side of a frame of the first smart glasses, and if so, output prompt information to a driver of the first vehicle in a voice manner, where the prompt information is used for about to reach the highway toll station set by the first vehicle and requesting to show a target certificate for taking a picture.
As an optional implementation manner, the first smart glasses may capture a front image of the first vehicle through a capture module disposed on a front side of a frame of the first smart glasses, and perform a defogging process on the front image to obtain a target defogged image; and identifying whether the first vehicle is about to arrive at a highway toll station set by the first vehicle or not according to the target defogged image, and if so, executing the step of outputting prompt information to the driver of the first vehicle in a voice mode.
For example, the defogging processing on the front image by the first smart glasses to obtain the defogged image may include:
when the ratio of the gray average value to the gray maximum value in the front image is less than or equal to a preset value, dividing the front image into at least two sub-region images;
acquiring a difference value s between the gray level mean value and the gray level standard difference value of each of the at least two sub-region images; comparing the difference values s corresponding to the at least two subarea images to obtain a maximum difference value, and acquiring the subarea image corresponding to the maximum difference value; when the pixel value in the sub-region image corresponding to the maximum difference value is smaller than a preset pixel value, determining the gray level mean value in the sub-region image corresponding to the maximum difference value as the atmospheric light value corresponding to the front image (also referred to as atmospheric light value estimation); obtaining a first transmittance image according to the front image and the atmospheric light value;
obtaining a red R channel image, a green G channel image and a blue B channel image in the front image by utilizing multi-scale retina addition; carrying out gray level processing on the R channel image, the G channel image and the B channel image and combining the images to obtain a second transmittance image;
and fusing the first transmittance image and the second transmittance image through a preset image fusion algorithm to obtain a first defogged image, and converting the RGB color space of the first defogged image into a new RGB color space after color tone saturation brightness HIS color space channel processing to obtain a target defogged image.
By implementing the embodiment, the defogging precision of the front image can be improved, so that the definition of the finally obtained target defogging image can be improved, and the first intelligent glasses can accurately detect whether the first vehicle is about to arrive at the highway toll station set by the first vehicle.
Optionally, the first smart glasses obtain key information of the target certificate from the target certificate image as certificate information, including:
the first intelligent glasses determine the certificate type of the target certificate according to the target certificate image;
the first intelligent glasses determine an information acquisition template corresponding to the certificate type according to the certificate type; the information acquisition template is used for recording key areas corresponding to the certificate types;
and the first intelligent glasses acquire key information of the target certificate from a key area corresponding to the certificate type in the target certificate image as certificate information according to the information acquisition template.
Illustratively, when the type of the target certificate is an identity card, the key information of the target certificate includes name, gender, year, month and day of birth, address and identity card number.
As another example, when the kind of the target certificate is a driver's license, the key information of the target certificate includes a name, a gender, a nationality, a birth year, a month, a day, an address, a first-time license date, a driving-ready type, and a valid period.
As another example, when the type of the target certificate is a driving certificate, the key information of the target certificate includes a number plate number, a vehicle type, an owner, an address, a use property, a brand model, a vehicle identification code, an engine number, and a registration date and a certificate issuing date.
102. And the first vehicle acquires the certificate information and reports first interactive information to the big data platform through a 5G network, wherein the first interactive information at least comprises the certificate information.
103. And the big data platform inquires whether the authorized payment code of the first vehicle associated with the certificate information is stored, and if so, the authorized payment code of the first vehicle is sent to the first vehicle through a 5G network.
Wherein the authorized payment code (e.g., authorized payment two-dimensional code) of the first vehicle may include an authorized payment account number of the first vehicle for the purpose of secure payment.
104. The first vehicle sends an authorized payment code for the first vehicle to the first smart glasses.
105. The first intelligent glasses project an authorized payment code of the first vehicle by utilizing the light projection assembly; when the authorized payment code of the first vehicle is projected on a window glass on one side of the first vehicle close to a code scanning terminal on a manual toll collection channel of a highway toll station, a camera of the code scanning terminal scans the authorized payment code of the first vehicle to execute toll collection for the first vehicle.
For example, the first smart glasses may project an authorized payment code for the first vehicle using the light projection assembly as an LED light that flashes rapidly in red and blue light; wherein, red light represents 0 and blue light represents 1 in binary, and the cycle is repeated. The LED light with the fast red and blue light flashing flashes quickly, so that human eyes cannot see the difference, but the code scanning terminal can read the code through a camera.
Therefore, the implementation of the interaction method described in fig. 1 can save a driver in a vehicle to search for a payment APP in a mobile phone, input verification information such as a password or a fingerprint to start the payment APP, and open a payment code in the payment APP, thereby being beneficial to improving the charging efficiency of an artificial charging channel on a highway and avoiding causing congestion of the artificial charging channel. In addition, the implementation of the interaction method described in fig. 1 can realize code scanning charging without lowering the window glass of the vehicle, prevent rain, snow, dust and the like from drifting into the vehicle, and is beneficial to sanitation in the vehicle; moreover, the interaction method described in fig. 1 is implemented without the involvement of the driver's mobile phone, and thus is independent of whether the driver carries the mobile phone or whether the mobile phone is powered on.
Referring to fig. 2, fig. 2 is a flowchart illustrating an interaction method of 5G combined with a big data platform according to a second embodiment of the disclosure. In a first embodiment, first smart glasses are worn by a driver of a first vehicle, the first smart glasses being communicatively coupled to the first vehicle; and the first intelligent vehicle key is used as the intelligent vehicle key of the first vehicle configuration, and the first vehicle is a one-key starting vehicle. As shown in fig. 2, the interaction method of 5G in combination with the big data platform may include the following steps:
201. the first intelligent glasses take pictures of a target certificate shown by a driver of the first vehicle to obtain a target certificate image; acquiring key information of the target certificate from the target certificate image as certificate information; and transmitting the credential information to the first vehicle.
202. The first vehicle acquires the certificate information, and detects a graph track drawn by the first intelligent vehicle key in the first vehicle as the first graph track by using a UWB technology within a specified time; and reporting first interactive information to the big data platform through a 5G network, wherein the first interactive information at least comprises the certificate information and the first graph track.
In the embodiment of the application, the first vehicle and the first smart vehicle key are both provided with built-in UWB antennas, and the first vehicle can locate the first smart vehicle key by using UWB technology within a specified time (for example, within 15 seconds) to obtain location data of the first smart vehicle key when the first smart vehicle key moves in the first vehicle; and generating a graphic track drawn by the first intelligent vehicle key in the first vehicle as a first graphic track according to the positioning data of the first intelligent vehicle key when the first intelligent vehicle key is drawn in the first vehicle.
The first vehicle can quickly and accurately position the first intelligent vehicle key by using the UWB technology (the main equipment is a UWB antenna), so that a first graph track drawn by the first intelligent vehicle key in the first vehicle is quickly and accurately.
203. The big data platform inquires whether an authorized payment code of the first vehicle associated with the certificate information is stored, if so, executing step 204; if not, the flow is ended.
204. The big data platform checks whether the first graph track is the same as a legal graph track configured by the authorized payment code of the first vehicle, if so, executing the step 205-the step 207; if not, the process is ended.
205. The big data platform sends an authorized payment code of the first vehicle to the first vehicle through a 5G network.
206. The first vehicle sends an authorized payment code for the first vehicle to the first smart glasses.
207. The first intelligent glasses project an authorized payment code of the first vehicle by utilizing the light projection assembly; when the authorized payment code of the first vehicle is projected on a window glass on one side of the first vehicle close to a code scanning terminal on a manual toll collection channel of a highway toll station, a camera of the code scanning terminal scans the authorized payment code of the first vehicle to execute toll collection for the first vehicle.
It can be seen that, the implementation of the interaction method described in fig. 2 can omit the situation that a driver in a vehicle searches for a payment APP in a mobile phone, inputs verification information such as a password or a fingerprint to start the payment APP, and opens a payment code in the payment APP, thereby being beneficial to improving the charging efficiency of an artificial charging channel on a highway and avoiding causing congestion of the artificial charging channel. In addition, the implementation of the interaction method described in fig. 2 can realize code scanning charging without lowering the window glass of the vehicle, prevent rain, snow, dust and the like from drifting into the vehicle, and is beneficial to sanitation in the vehicle; moreover, the interaction method described in fig. 2 is implemented without the involvement of the driver's mobile phone, and thus is independent of whether the driver carries the mobile phone or whether the mobile phone is powered on.
Referring to fig. 3, fig. 3 is a schematic flowchart illustrating a third embodiment of an interaction method combining 5G and a big data platform according to the embodiment of the present application. In a first embodiment, first smart glasses are worn by a driver of a first vehicle, the first smart glasses being communicatively coupled to the first vehicle; and the first intelligent vehicle key is used as the intelligent vehicle key of the first vehicle configuration, and the first vehicle is a one-key starting vehicle. As shown in fig. 3, the interaction method of 5G in combination with the big data platform may include the following steps:
301. the first intelligent glasses take pictures of a target certificate shown by a driver of the first vehicle to obtain a target certificate image; acquiring key information of the target certificate from the target certificate image as certificate information; and transmitting the credential information to the first vehicle.
302. The first vehicle acquires the certificate information, and detects a graph track drawn by the first intelligent vehicle key in the first vehicle as the first graph track by using a UWB technology within a specified time; and reporting first interactive information to the big data platform through a 5G network, wherein the first interactive information at least comprises the certificate information, the first graph track and a first orientation of the first intelligent vehicle key which is always kept unchanged in the process that the first intelligent vehicle key draws the first graph track in the first vehicle.
Illustratively, the first orientation may be 30 ° north.
303. The big data platform inquires whether an authorized payment code of the first vehicle associated with the certificate information is stored, if so, executing step 304; if not, the flow is ended.
304. The big data platform checks whether the first graph track is the same as a legal graph track configured by the authorized payment code of the first vehicle, if so, step 305 is executed; if not, the process is ended.
For example, the legal graphical track of the authorized payment code configuration of the first vehicle may be any one or a combination of a figure-8 track, a circular track, a triangular track, a square track, and the like, and the embodiment of the present application is not limited.
305. The big data platform verifies whether the first orientation is the same as the intelligent vehicle key sliding orientation configured by the authorized payment code of the first vehicle, and if so, the steps 306 to 308 are executed; if not, the process is ended.
306. The big data platform sends an authorized payment code of the first vehicle to the first vehicle through a 5G network.
307. The first vehicle sends an authorized payment code for the first vehicle to the first smart glasses.
308. The first intelligent glasses project an authorized payment code of the first vehicle by utilizing the light projection assembly; when the authorized payment code of the first vehicle is projected on a window glass on one side of the first vehicle close to a code scanning terminal on a manual toll collection channel of a highway toll station, a camera of the code scanning terminal scans the authorized payment code of the first vehicle to execute toll collection for the first vehicle.
As an optional implementation manner, in the interaction method described in fig. 3, the first vehicle is a head vehicle in a certain fleet that plays a role in navigation and payment, and the first vehicle is provided with a payment agency list and a vehicle sequencing list, where the payment agency list includes unique identifiers of all or some of the remaining vehicles in the fleet that need payment agency, except the first vehicle; the vehicle sequencing list comprises a corresponding relation between the unique identification of each vehicle in the fleet and a sequencing serial number of the vehicle in the fleet, and the sequencing serial numbers of the vehicles in the fleet are 1, 2, … … in sequence, and m (m is greater than or equal to 2); wherein the sequence number of the first vehicle in the fleet is 1. After the first smart glasses project the authorized payment code for the first vehicle using the light projection assembly, the method further comprises the steps of:
step A1, the first vehicle determines a time point when the first smart glasses projects the authorized payment code of the first vehicle by using the light projection component; and determining a preset effective time period which takes the time point as an initial time point and takes a certain preset time length as an effective time length.
For example, if the first smart glasses project the authorized payment code of the first vehicle using the light projection component at the time point 08 (min): 31 (min): 32 (sec), and the preset certain preset duration is 3 minutes, it may be determined that the preset valid period with the time point as the starting time point and the certain preset duration as the valid duration is: when 08 (min) is 31 (sec) to 32 (sec) to when 08 (min) is 34 (sec) to 32 (sec).
Step A2, the first vehicle sends configuration information of the authorized payment code for the first vehicle to the big data platform through a 5G network, wherein the configuration information at least comprises a legal graphic track configured by the authorized payment code of the first vehicle, a moving direction of an intelligent vehicle key configured by the authorized payment code of the first vehicle, the payment collection list, the vehicle sequencing list and the preset effective time period.
Step A3, the big data platform configures the configuration information to an authorized payment code for the first vehicle associated with the credential information.
A4, detecting a graph track drawn by a second intelligent vehicle key in a second vehicle by the second vehicle by using a UWB technology to serve as a second graph track; the second vehicle is any vehicle of the fleet other than the first vehicle; the second intelligent vehicle key is used as the intelligent vehicle key of the second vehicle configuration, and the second vehicle is a one-key starting new energy vehicle.
The mode that the second vehicle detects the graph track drawn by the second smart key in the second vehicle by using the UWB technology as the second graph track is the same as the mode that the first vehicle detects the first graph track drawn by the first smart key in the first vehicle by using the UWB technology, and details are not repeated here.
Step A5, the second vehicle sends second interactive information to the big data platform, where the second interactive information at least includes the unique identification of the second vehicle, the second graphic track, and a second orientation in which the second smart vehicle key always remains unchanged during the process that the second smart vehicle key draws the second graphic track in the second vehicle.
For example, the unique identification of the second vehicle may be an engine number of the second vehicle or may be a vehicle identification number of the second vehicle.
Step A6, after receiving the second interactive information, the big data platform judges whether the unique identity of the second vehicle is located in the payment agency list, if so, checks whether the second graphic track is the same as a legal graphic track configured by the authorized payment code of the first vehicle, if so, checks whether the second orientation is the same as the intelligent vehicle key sliding orientation configured by the authorized payment code of the first vehicle, and if so, determines the sequencing serial number of the second vehicle in the vehicle fleet from the vehicle sequencing list according to the unique identity of the second vehicle.
Step A7, the big data platform judges whether the sequence number of the second vehicle in the fleet is larger than or equal to a preset sequence number, if not, the preset effective time period is taken as an effective target time period.
Step A8, the big data platform judges whether the time point of receiving the second interactive information is in the effective target time period, if yes, the authorized payment code of the first vehicle is sent to the second vehicle.
Step A9, after the second vehicle receives the authorized payment code of the first vehicle, the authorized payment code of the second vehicle is sent to the second intelligent glasses; the second smart glasses are worn by a driver of the second vehicle, and the second smart glasses are in communication connection with the second vehicle.
Step A10, the second smart glasses projects the authorized payment code of the first vehicle by using the light projection component; when the authorized payment code of the first vehicle is projected on a side window glass of the second vehicle close to the code scanning terminal, the camera of the code scanning terminal scans the authorized payment code of the first vehicle to execute toll collection for the second vehicle.
As an optional implementation manner, when it is determined that the ranking number of the second vehicle in the fleet is greater than or equal to the preset number, the big data platform calculates an absolute value of a difference value between the ranking number of the second vehicle in the fleet and the ranking number of the first vehicle in the fleet; the big data platform obtaining a period increment, the period increment being proportional to the absolute value; and the big data platform controls the preset effective time period to prolong the time period increment so as to obtain an effective target time period, and executes the step of judging whether the time point of receiving the second interactive information is positioned in the effective target time period.
For example, the preset valid period is: 31 (minute): 32 (second) — 08 (minute): 34 (minute): 32 (second), and the second vehicle has a ranking number of 7 in the fleet greater than a preset number of 5, the vehicle cloud platform may calculate an absolute value of 6 for the difference between the ranking number of 7 in the fleet of the second vehicle and the ranking number of 1 in the fleet of the first vehicle; and multiplying the absolute value of 6 by 10 seconds to obtain a time interval increment of 1 minute (namely 60 seconds), and controlling the preset effective time interval to be prolonged by the time interval increment of 1 minute (namely 60 seconds) so as to obtain an effective target time interval of 08 (min): 31 (min): 32 (seconds): 08 (min): 35 (min): 32 (seconds).
For another example, the preset valid period is: 31 (minute): 32 (second) — 08 (minute): 34 (minute): 32 (second), and the second vehicle has a ranking number in the fleet of 13 greater than a preset number of 5, the vehicle cloud platform may calculate an absolute value of 12 of the difference between the ranking number of the second vehicle in the fleet of 13 and the ranking number of the first vehicle in the fleet of 1; and multiplying the absolute value 12 by 10 seconds to obtain a period increment of 2 minutes (namely 120 seconds), and controlling the preset effective period to be prolonged by the period increment of 2 minutes (namely 120 seconds) to obtain an effective target period of 08 (minutes): 31 (minutes): 32 (seconds): 08 (minutes): 36 (minutes): 32 (seconds).
It can be seen that, by implementing the interaction method described in fig. 3, it is possible to omit the situation that a driver in a vehicle searches for a payment APP in a mobile phone, inputs verification information such as a password or a fingerprint to start the payment APP, and opens a payment code in the payment APP, thereby facilitating the promotion of the charging efficiency of the manual charging channel on a highway and avoiding the congestion of the manual charging channel. In addition, the implementation of the interaction method described in fig. 3 can realize code scanning charging without lowering the window glass of the vehicle, prevent rain, snow, dust and the like from drifting into the vehicle, and is beneficial to sanitation in the vehicle; moreover, the interaction method described in fig. 3 is implemented without the involvement of the driver's mobile phone, and thus is independent of whether the driver carries the mobile phone or whether the mobile phone is powered on.
Referring to fig. 4, fig. 4 is a schematic diagram of an interactive system combining 5G and a big data platform according to an embodiment of the present application. As shown in fig. 4, the interactive system at least includes a first smart glasses 401, a first vehicle 402, and a big data platform 403, the first smart glasses 401 is worn by a driver of the first vehicle 402, the first smart glasses 401 is in communication connection with the first vehicle 402, wherein:
the first smart glasses 401 are configured to take a picture of a target certificate shown by a driver of the first vehicle 402 to obtain a target certificate image; acquiring key information of the target certificate from the target certificate image as certificate information; and transmitting the credential information to the first vehicle 402;
the first vehicle 402 is configured to acquire the certificate information, and report first interaction information to the big data platform 403 through a 5G network, where the first interaction information at least includes the certificate information;
the big data platform 403 is configured to query whether an authorized payment code of the first vehicle 402 associated with the certificate information is stored, and if so, send the authorized payment code of the first vehicle 402 to the first vehicle 402 through a 5G network; the first vehicle 402, further configured to send an authorized payment code of the first vehicle 402 to the first smart glasses 401;
the first smart glasses 401, further configured to project an authorized payment code of the first vehicle 402 by using the light projection component; when the authorized payment code of the first vehicle 402 is projected on a certain side window glass of the first vehicle 402 of a code scanning terminal on an artificial toll collection channel close to a highway toll station (wherein, the driver of the first vehicle 402 can adjust the head orientation so that the authorized payment code of the first vehicle 402 projected by the first intelligent glasses 401 can be presented on the certain side window glass of the first vehicle 402 of the code scanning terminal on the artificial toll collection channel close to the highway toll station), the camera of the code scanning terminal scans the authorized payment code of the first vehicle 402 to perform toll collection for the first vehicle 402.
As an optional implementation manner, the manner in which the first smart glasses 401 obtain the key information of the target certificate from the target certificate image as the certificate information specifically includes:
the first smart glasses 401 determine the type of the target certificate according to the target certificate image;
the first smart glasses 401 determine an information acquisition template corresponding to the certificate type according to the certificate type; the information acquisition template is used for recording key areas corresponding to the certificate types;
the first smart glasses 401 acquire key information of the target certificate from a key area corresponding to the certificate type in the target certificate image as certificate information according to the information acquisition template.
Illustratively, when the type of the target certificate is an identity card, the key information of the target certificate includes name, gender, year, month and day of birth, address and identity card number.
As an optional implementation, the 5G interaction system combined with the big data platform shown in fig. 4 further includes a first smart car key 404, where the first smart car key 404 is configured as a smart car key for the first vehicle 402, the first vehicle 402 is a one-key start vehicle, the first interaction information further includes a first graphical track, and then:
the first vehicle 402 is further configured to detect, within a specified time period, a graphic track scribed by the first smart key 404 in the first vehicle 402 by using a UWB technique as the first graphic track after acquiring the certificate information and before reporting the first interaction information to the big data platform 403 through the 5G network;
the big data platform 403 is further configured to, after querying that authorized payment of the first vehicle 402 associated with the certificate information is stored, check whether the first graphic track is the same as a legal graphic track configured by an authorized payment code of the first vehicle 402, and if so, perform the step of sending the authorized payment code of the first vehicle 402 to the first vehicle 402 through the 5G network.
As an optional implementation, the first interaction information further includes a first orientation of the first smart car key 404 that remains unchanged during the first graphical track is scribed by the first smart car key 404 in the first vehicle 402; then:
the big data platform 403 is further configured to, after verifying that the first graph track is the same as the legal graph track configured by the authorized payment code of the first vehicle 402, verify whether the first direction is the same as the sliding direction of the smart key configured by the authorized payment code of the first vehicle 402, and if so, execute the step of sending the authorized payment code of the first vehicle 402 to the first vehicle 402 through the 5G network.
As an optional implementation manner, the first vehicle 402 is a head vehicle in a certain fleet for navigation and payment, and the first vehicle 402 is provided with a payment agency list and a vehicle sequencing list, where the payment agency list includes unique identifiers of all or some of the remaining vehicles in the fleet that need payment agency, except the first vehicle; the vehicle sequencing list comprises the corresponding relation between the unique identification of each vehicle in the fleet and the sequencing serial number of the vehicle in the fleet, and then:
the first vehicle 402 is further configured to determine a time point when the first smart glasses 401 project the authorized payment code of the first vehicle 402 by using the light projection component after the first smart glasses 401 project the authorized payment code of the first vehicle 402 by using the light projection component; determining a preset effective time period which takes the time point as an initial time point and takes a certain preset time length as an effective time length;
the first vehicle 402 is further configured to send configuration information of an authorized payment code for the first vehicle 402 to the big data platform 403 through a 5G network, where the configuration information at least includes a legal graphic track configured by the authorized payment code of the first vehicle 402, a running direction of an intelligent vehicle key configured by the authorized payment code of the first vehicle 402, the payment agency list, the vehicle sequencing list, and the preset valid period;
the big data platform 403 is further configured to configure the configuration information to an authorized payment code of the first vehicle 402 associated with the certificate information;
the interactive system further comprises a second vehicle 405, a second smart vehicle key 406 and second smart glasses 407, the second vehicle 405 being any vehicle of the fleet of vehicles other than the first vehicle; the second smart car key 406 is configured as a smart car key of the second vehicle 405, and the second vehicle 405 is a key to start a new energy vehicle; the second smart glasses 407 are worn by a driver of the second vehicle 405, and the second smart glasses 407 are in communication connection with the second vehicle 405; wherein:
the second vehicle 405 is configured to detect, as a second graphic track, a graphic track drawn by the second smart vehicle key 406 in the second vehicle 405 by using UWB technology;
the second vehicle 405 is further configured to send second interaction information to the big data platform 403, where the second interaction information at least includes the unique identifier of the second vehicle 405, the second graphic track, and a second orientation of the second smart vehicle key 406 that is always unchanged during the process that the second smart vehicle key 406 draws the second graphic track in the second vehicle 405;
the big data platform 403 is further configured to determine, after receiving the second interactive information, whether the unique identifier of the second vehicle 405 is located in the payment pickup list, if yes, check whether the second graphic track is the same as a legal graphic track configured by the authorized payment code of the first vehicle 402, if yes, check whether the second orientation is the same as an intelligent vehicle key sliding orientation configured by the authorized payment code of the first vehicle 402, and if yes, determine, according to the unique identifier of the second vehicle 405, a sorting serial number of the second vehicle 405 in the fleet from the vehicle sorting list;
the big data platform 403 is further configured to determine whether a ranking serial number of the second vehicle 405 in the fleet is greater than or equal to a preset serial number, and if not, take the preset valid time period as a valid target time period;
the big data platform 403 is further configured to determine whether the time point of receiving the second interaction information is within the valid target time period, and if so, send an authorized payment code of the first vehicle 402 to the second vehicle 405;
the second vehicle 405, further configured to send the authorized payment code of the second vehicle 405 to the second smart glasses 407 after receiving the authorized payment code of the first vehicle 402;
the second smart glasses 407 projecting an authorized payment code of the first vehicle 402 using the light projection component; when the authorized payment code of the first vehicle 402 is projected on a side window glass of the second vehicle 405 close to the code scanning terminal, the camera of the code scanning terminal scans the authorized payment code of the first vehicle 402 to perform toll collection for the second vehicle 405.
As an alternative embodiment, in the 5G interactive system combined with the big data platform shown in FIG. 4:
the big data platform 403 is further configured to, when it is determined that the ranking serial number of the second vehicle 405 in the fleet is greater than or equal to the preset serial number, calculate an absolute value of a difference between the ranking serial number of the second vehicle 405 in the fleet and the ranking serial number of the first vehicle 402 in the fleet;
the big data platform 403, further configured to obtain a time period increment, the time period increment being proportional to the absolute value;
the big data platform 403 is further configured to control the preset valid period to extend the period increment to obtain a valid target period, and execute the step of determining whether the time point of receiving the second interactive information is within the valid target period. It can be seen that implementing the interactive system described in fig. 4 can save the driver in the vehicle to look for the payment APP in the cell-phone to input verification information such as password or fingerprint to start the payment APP, and open the payment code in this payment APP, thereby be favorable to promoting the charging efficiency of the artificial charging channel on highway, avoid causing artificial charging channel to block up. In addition, the implementation of the interactive system described in fig. 4 can realize code scanning charging without lowering the window glass of the vehicle, so that rain, snow, dust and the like are prevented from drifting into the vehicle, and the sanitation in the vehicle is facilitated; moreover, the interactive system described in fig. 4 is implemented without the involvement of the driver's mobile phone, and thus is independent of whether the driver carries the mobile phone or whether the mobile phone is powered.
The embodiment of the application discloses a computer readable storage medium, which stores a computer program, wherein the computer program realizes part or all of the steps in the above method embodiments when being executed by a processor. The embodiment of the application discloses a computer program product, wherein when the computer program product runs on a computer, the computer is caused to execute part or all of the steps in the above method embodiments.
The embodiment of the application discloses an application publishing platform, which is used for publishing a computer program product, wherein when the computer program product runs on a computer, the computer is enabled to execute part or all of the steps of the method in the above method embodiments.
It will be understood by those skilled in the art that all or part of the steps of the methods of the embodiments described above may be performed by hardware instructions associated with a program that may be stored in a computer readable storage medium, including Read Only Memory (ROM), Random Access Memory (RAM), Programmable Read Only Memory (PROM), Erasable Programmable Read Only Memory (EPROM), One Time Programmable Read Only Memory (OTPROM), electrically erasable rewritable read only memory (EEPROM), compact disc read only memory (CD-ROM) or other optical disk storage, magnetic disk storage, tape storage, or any other medium readable by a computer that can be used to carry or store data.
The interaction method and system combining the 5G and the big data platform disclosed in the embodiment of the present application are introduced in detail, and a specific example is applied in the present application to explain the principle and the implementation manner of the present application, and the description of the above embodiment is only used to help understanding the method and the core idea of the present application; meanwhile, for a person skilled in the art, the technical spirit of the present application may be modified from the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
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