1. Sell system commodity intelligent management system by oneself based on cloud calculates and data analysis, its characterized in that: the system comprises a beverage commodity basic parameter acquisition module, a beverage commodity allowance counting module, a storage environment parameter acquisition module, a remote goods taking state monitoring module at a goods taking port, a management cloud platform, a management database, a fault voice prompt module and an intelligent processing terminal;

the beverage commodity basic parameter acquisition module is used for numbering all goods shelves in the beverage vending machine, wherein the goods shelves are marked as 1,2, 1, i, 1, n, counting the number of the existing beverage commodities on each goods shelf, acquiring the goods position number of each beverage commodity and acquiring the basic parameters of each beverage commodity;

the beverage commodity sales allowance counting module is used for counting sales allowances corresponding to various beverage commodity types in real time;

the storage environment parameter acquisition module is used for arranging a storage environment detection terminal at each shelf of the beverage vending machine and detecting the storage environment parameters of the beverage commodities at each shelf of the beverage vending machine in real time;

the management cloud platform is used for extracting quality guarantee expiration dates of the commodities from basic parameters of the existing beverage commodities on the shelves, acquiring the current date in real time, comparing the quality guarantee expiration dates of the beverage commodities with the current date, if the quality guarantee expiration date of a certain beverage commodity is consistent with the current date, indicating that the quality guarantee of the beverage commodity is invalid, needing shelf unloading processing, acquiring shelf unloading parameters at the moment, locking the beverage commodity needing shelf unloading processing, and stopping selling;

the management cloud platform compares the sales allowance corresponding to each beverage commodity type with a set commodity sales allowance threshold, if the sales allowance corresponding to a certain beverage commodity type is smaller than the commodity sales allowance threshold, the beverage commodity type is indicated to need replenishment, and at the moment, replenishment parameters are obtained;

meanwhile, the management cloud platform analyzes the detected storage environment parameters of the beverage commodities at each shelf, so as to judge whether a regulation shelf exists or not according to the analysis result, and if so, the regulation parameters are obtained;

the remote monitoring module for the goods taking state of the goods taking port is used for remotely monitoring the goods taking state of the corresponding goods taking port of the beverage vending machine, identifying whether a fault of the goods taking port exists or not, if so, sending a fault prompt instruction to the fault voice prompt module, and acquiring a fault parameter of the goods taking port, wherein the fault parameter comprises a fault type and a fault time point, and the fault type comprises an opening fault type and a goods taking goods matching fault type;

the fault voice prompt module is used for carrying out fault voice prompt after receiving the fault prompt;

and the intelligent processing terminal is used for intelligently processing the acquired shelf-off parameters, goods replenishment parameters, regulation and control parameters and goods taking port fault parameters.

2. The cloud computing and data analysis based self-service vending system commodity intelligent management system according to claim 1, characterized in that: the basic parameters include the beverage commodity type and the commodity shelf life.

3. The cloud computing and data analysis based self-service vending system commodity intelligent management system according to claim 1, characterized in that: the storage environment detection terminal comprises a temperature sensor, a humidity sensor and an illumination sensor, and the storage environment parameters comprise temperature, humidity and illumination intensity.

4. The cloud computing and data analysis based self-service vending system commodity intelligent management system according to claim 1, characterized in that: the shelf-off parameters comprise the types of the beverage commodities, the numbers of the shelves where the beverage commodities are located, the numbers of the positions where the beverage commodities are located and the shelf-off dates.

5. The cloud computing and data analysis based self-service vending system commodity intelligent management system according to claim 1, characterized in that: the replenishment parameters comprise the type of replenishment beverage commodity, the quantity of replenishment beverage commodity and the replenishment date.

6. The cloud computing and data analysis based self-service vending system commodity intelligent management system according to claim 1, characterized in that: whether the regulation and control goods shelf exists or not is judged, and the specific judgment process is as follows:

h1 forming shelf storage environment parameter set G from storage environment parameters of beverage products at each shelf_w(g_w1,g_w2,...,g_wi,...,g_wn)，g_wi being at the ith shelfThe value corresponding to the storage environment parameter of the beverage commodity, w is represented as the storage environment parameter, and w is r1, r2 and r3, which are respectively represented as temperature, humidity and illumination intensity;

h2, extracting appropriate storage environment parameters corresponding to the beverage commodities from the management database, comparing a shelf storage environment parameter set with the appropriate storage environment parameters corresponding to the beverage commodities, if any storage environment parameter corresponding to the beverage commodity at a certain shelf is not in an appropriate range corresponding to the storage environment parameter, indicating that the shelf needs to be subjected to storage environment parameter regulation and control, marking the shelf as a regulation and control shelf, and marking the storage environment parameter as a regulation and control storage environment parameter.

7. The cloud computing and data analysis based self-service vending system commodity intelligent management system according to claim 1, characterized in that: the regulation and control parameters comprise regulation and control shelf numbers and regulation and control storage environment parameters.

8. The cloud computing and data analysis based self-service vending system commodity intelligent management system according to claim 1, characterized in that: get the goods mouth and get goods state remote monitoring module and carry out remote monitoring to the goods state of getting that the beverage vending machine corresponds and gets the goods mouth, specific monitored control process as follows:

d1, installing a monitoring camera at the upper end of the goods taking port, and controlling the monitoring camera to start working when the consumer finishes payment;

d2, extracting a consumer payment interface, and calling the types and the quantity of the beverage commodities paid by the consumer from the consumer payment interface;

d3, monitoring the goods taking port by the monitoring camera, acquiring a goods taking state image of the goods taking port, judging whether the goods taking port is opened from the goods taking state image of the goods taking port, if the goods taking port is not opened, indicating that the goods taking port is opened, and if the goods taking port is opened, executing the step D4;

d4, acquiring images of the commodities in the goods taking port bin to obtain images of the commodities in the goods taking port bin, identifying the types and the quantity of the beverage commodities of the commodities in the goods taking port bin at the moment, matching the identified types and the quantity of the beverage commodities with the types and the quantity of the beverage commodities paid by the consumer, if any one of the types or the quantity of the beverage commodities fails to be matched, indicating that the goods taking port has a matching fault, and closing the goods taking port at the moment.

9. The cloud computing and data analysis based self-service vending system commodity intelligent management system according to claim 1, characterized in that: the intelligent processing terminal intelligently processes the acquired shelf-off parameters, goods replenishment parameters, regulation and control parameters and goods taking port fault parameters, and the specific processing process executes the following steps:

f1, locating the geographical position of the beverage vending machine;

f2, acquiring all replenishment points and all background processing centers corresponding to the beverage vending machine, and positioning the geographical positions of the replenishment points and the geographical positions of the background processing centers;

f3, respectively counting the route distance from each replenishment point to the beverage vending machine and the route distance from each background processing center to the beverage vending machine according to the geographic position of the beverage vending machine, the geographic position of each replenishment point and the geographic position of each background processing center, sequencing all replenishment points corresponding to the beverage vending machine according to the route distance from near to far to obtain a replenishment point set corresponding to the beverage vending machine, and sequencing all background processing centers corresponding to the beverage vending machine according to the route distance from near to far to obtain a background processing center set corresponding to the beverage vending machine;

f4, extracting a replenishment date from the replenishment parameters, and performing nearby replenishment processing according to the replenishment point set corresponding to the beverage vending machine within the replenishment date;

f5, extracting the shelf-off date from the shelf-off parameters, and performing the shelf-off processing nearby according to the background processing center set corresponding to the beverage vending machine within the shelf-off date;

f6, extracting a failure time point from the failure parameters of the goods taking port, and carrying out nearby failure processing according to the background processing center set corresponding to the beverage vending machine at the failure time point;

f7, extracting the storage environment regulating and controlling parameters from the regulating and controlling parameters to further obtain the regulating and controlling equipment corresponding to the storage environment regulating and controlling parameters, marking the regulating and controlling equipment as target regulating and controlling equipment, and extracting the storage shelf number from the regulating and controlling parameters to control the target regulating and controlling equipment to regulate and control the storage environment regulating and controlling parameters on the regulating and controlling shelf number.

10. The cloud computing and data analysis based intelligent commodity management system for the self-service vending system according to claim 1, wherein the cloud computing and data analysis based intelligent commodity management system comprises: the management cloud platform further comprises a step of dynamically adjusting the standard storage quantity of the beverage vending machine corresponding to each beverage commodity type, wherein the specific adjusting method comprises the following steps:

z1, counting the selling quantity of the beverage vending machine corresponding to each beverage commodity type according to the set adjusting time period;

z2, comparing the selling quantity corresponding to each beverage commodity type, screening the beverage commodity type with the largest selling quantity from the selling quantity, wherein the beverage commodity type is marked as a hot-selling beverage commodity type, and the beverage commodity type with the smallest selling quantity is marked as a late-selling beverage commodity type;

and Z3, increasing the standard storage quantity corresponding to the hot-sold beverage commodity type in the next adjusting time period, and reducing the standard storage quantity corresponding to the lost-sold beverage commodity type.

Background

Along with the economic continuous development of China, people's convenience to daily life is also higher and higher, and the country has produced many kinds of self-service equipment in order to satisfy people's demand, and the vending machine is the self-service equipment that china's present stage has gradually risen, labour saving and time saving, and is convenient and reliable, receives people's favor very much. Along with people to selling the diversified demand of commodity kind by oneself at present, the kind of vending machine has now expanded a lot of categories, like beverage, medicine, health supplies, books etc. has effectively satisfied people to selling the demand of commodity kind by oneself.

For the beverage vending machine, because it is comparatively closely with people's daily life relation, can solve people's thirsty demand in real time, the quantity of laying in the city is very big, because the beverage vending machine is unmanned operation, in order to know the user state of beverage vending machine in real time, need to monitor the management. However, most of the monitoring and management indexes of the beverage vending machine are only monitoring and managing the sale allowance of the beverage commodity, monitoring and management of the quality guarantee period and the storage environment corresponding to the beverage commodity are omitted, the quality of the beverage commodity is directly influenced by the quality of the commodity when the beverage commodity is directly drunk into a mouth, and the quality of the beverage commodity is directly influenced when the beverage commodity is over the quality guarantee period or the storage environment is not suitable, so that the quality guarantee period and the storage environment corresponding to the beverage commodity in the beverage vending machine are monitored and managed very necessarily.

In summary, the monitoring management index of the beverage vending machine is too single at present, so that the monitoring management level is lower, the physical health of the consumer cannot be effectively guaranteed, and the use experience of the consumer is influenced.

Disclosure of Invention

In view of the above problems, an object of the present application is to provide a self-service vending system commodity intelligent management system based on cloud computing and data analysis, so as to solve the defect that the monitoring management index of the beverage vending machine is too single at present.

The invention is realized by the following technical scheme:

a self-service selling system commodity intelligent management system based on cloud computing and data analysis comprises a beverage commodity basic parameter acquisition module, a beverage commodity allowance counting module, a storage environment parameter acquisition module, a remote monitoring module for a goods taking state of a goods taking port, a management cloud platform, a management database, a fault voice prompt module and an intelligent processing terminal;

the beverage commodity basic parameter acquisition module is used for numbering all goods shelves in the beverage vending machine, wherein the goods shelves are marked as 1,2, 1, i, 1, n, counting the number of the existing beverage commodities on each goods shelf, acquiring the goods position number of each beverage commodity and acquiring the basic parameters of each beverage commodity;

the beverage commodity sales allowance counting module is used for counting sales allowances corresponding to various beverage commodity types in real time;

the storage environment parameter acquisition module is used for arranging a storage environment detection terminal at each shelf of the beverage vending machine and detecting the storage environment parameters of the beverage commodities at each shelf of the beverage vending machine in real time;

the management cloud platform is used for extracting quality guarantee expiration dates of the commodities from basic parameters of the existing beverage commodities on the shelves, acquiring the current date in real time, comparing the quality guarantee expiration dates of the beverage commodities with the current date, if the quality guarantee expiration date of a certain beverage commodity is consistent with the current date, indicating that the quality guarantee of the beverage commodity is invalid, needing shelf unloading processing, acquiring shelf unloading parameters at the moment, locking the beverage commodity needing shelf unloading processing, and stopping selling;

the management cloud platform compares the sales allowance corresponding to each beverage commodity type with a set commodity sales allowance threshold, if the sales allowance corresponding to a certain beverage commodity type is smaller than the commodity sales allowance threshold, the beverage commodity type is indicated to need replenishment, and at the moment, replenishment parameters are obtained;

meanwhile, the management cloud platform analyzes the detected storage environment parameters of the beverage commodities at each shelf, so as to judge whether a regulation shelf exists or not according to the analysis result, and if so, the regulation parameters are obtained;

the remote monitoring module for the goods taking state of the goods taking port is used for remotely monitoring the goods taking state of the corresponding goods taking port of the beverage vending machine, identifying whether a fault of the goods taking port exists or not, if so, sending a fault prompt instruction to the fault voice prompt module, and acquiring a fault parameter of the goods taking port, wherein the fault parameter comprises a fault type and a fault time point, and the fault type comprises an opening fault type and a goods taking goods matching fault type;

the fault voice prompt module is used for carrying out fault voice prompt after receiving the fault prompt;

and the intelligent processing terminal is used for intelligently processing the acquired shelf-off parameters, goods replenishment parameters, regulation and control parameters and goods taking port fault parameters.

As a preferable technical scheme of the invention, the basic parameters comprise the type of the beverage commodity and the expiration date of the commodity.

As a preferred technical solution of the present invention, the storage environment detection terminal includes a temperature sensor, a humidity sensor, and an illumination sensor, and the storage environment parameters include temperature, humidity, and illumination intensity.

As a preferable technical solution of the present invention, the shelf-off parameters include a type of the beverage product, a shelf number of the beverage product, a slot number of the beverage product, and a shelf-off date.

As a preferable technical solution of the present invention, the replenishment parameters include a replenishment beverage commodity type, a replenishment beverage commodity quantity, and a replenishment date.

As a preferred technical solution of the present invention, the judging whether there is a regulation shelf specifically comprises the following steps:

h1 forming shelf storage environment parameter set G from storage environment parameters of beverage products at each shelf_w(g_w1,g_w2,...,g_wi,...,g_wn)，g_wi is a numerical value corresponding to the storage environment parameter of the beverage commodity at the ith shelf, w is a storage environment parameter, and w is r1, r2 and r3 which are respectively expressed as temperature, humidity and illumination intensity;

h2, extracting appropriate storage environment parameters corresponding to the beverage commodities from the management database, comparing a shelf storage environment parameter set with the appropriate storage environment parameters corresponding to the beverage commodities, if any storage environment parameter corresponding to the beverage commodity at a certain shelf is not in an appropriate range corresponding to the storage environment parameter, indicating that the shelf needs to be subjected to storage environment parameter regulation and control, marking the shelf as a regulation and control shelf, and marking the storage environment parameter as a regulation and control storage environment parameter.

As a preferable technical scheme of the invention, the regulation and control parameters comprise regulation and control of shelf numbers and regulation and control of storage environment parameters.

As a preferred technical solution of the present invention, the remote monitoring module for the pickup state of the pickup port remotely monitors the pickup state of the beverage vending machine corresponding to the pickup port, and the monitoring process specifically includes:

d1, installing a monitoring camera at the upper end of the goods taking port, and controlling the monitoring camera to start working when the consumer finishes payment;

d2, extracting a consumer payment interface, and calling the types and the quantity of the beverage commodities paid by the consumer from the consumer payment interface;

d3, monitoring the goods taking port by the monitoring camera, acquiring a goods taking state image of the goods taking port, judging whether the goods taking port is opened from the goods taking state image of the goods taking port, if the goods taking port is not opened, indicating that the goods taking port is opened, and if the goods taking port is opened, executing the step D4;

d4, acquiring images of the commodities in the goods taking port bin to obtain images of the commodities in the goods taking port bin, identifying the types and the quantity of the beverage commodities of the commodities in the goods taking port bin at the moment, matching the identified types and the quantity of the beverage commodities with the types and the quantity of the beverage commodities paid by the consumer, if any one of the types or the quantity of the beverage commodities fails to be matched, indicating that the goods taking port has a matching fault, and closing the goods taking port at the moment.

As a preferred technical solution of the present invention, the intelligent processing terminal intelligently processes the acquired shelf-off parameter, replenishment parameter, regulation parameter and pickup port fault parameter, and the specific processing procedure thereof executes the following steps:

f1, locating the geographical position of the beverage vending machine;

f2, acquiring all replenishment points and all background processing centers corresponding to the beverage vending machine, and positioning the geographical positions of the replenishment points and the geographical positions of the background processing centers;

f3, respectively counting the route distance from each replenishment point to the beverage vending machine and the route distance from each background processing center to the beverage vending machine according to the geographic position of the beverage vending machine, the geographic position of each replenishment point and the geographic position of each background processing center, sequencing all replenishment points corresponding to the beverage vending machine according to the route distance from near to far to obtain a replenishment point set corresponding to the beverage vending machine, and sequencing all background processing centers corresponding to the beverage vending machine according to the route distance from near to far to obtain a background processing center set corresponding to the beverage vending machine;

f4, extracting a replenishment date from the replenishment parameters, and performing nearby replenishment processing according to the replenishment point set corresponding to the beverage vending machine within the replenishment date;

f5, extracting the shelf-off date from the shelf-off parameters, and performing the shelf-off processing nearby according to the background processing center set corresponding to the beverage vending machine within the shelf-off date;

f6, extracting a failure time point from the failure parameters of the goods taking port, and carrying out nearby failure processing according to the background processing center set corresponding to the beverage vending machine at the failure time point;

f7, extracting the storage environment regulating and controlling parameters from the regulating and controlling parameters to further obtain the regulating and controlling equipment corresponding to the storage environment regulating and controlling parameters, marking the regulating and controlling equipment as target regulating and controlling equipment, and extracting the storage shelf number from the regulating and controlling parameters to control the target regulating and controlling equipment to regulate and control the storage environment regulating and controlling parameters on the regulating and controlling shelf number.

As a preferred technical solution of the present invention, the cloud management platform further includes a step of dynamically adjusting the standard storage quantity of the beverage vending machine corresponding to each beverage commodity type, where the specific adjustment method is as follows:

z1, counting the selling quantity of the beverage vending machine corresponding to each beverage commodity type according to the set adjusting time period;

z2, comparing the selling quantity corresponding to each beverage commodity type, screening the beverage commodity type with the largest selling quantity from the selling quantity, wherein the beverage commodity type is marked as a hot-selling beverage commodity type, and the beverage commodity type with the smallest selling quantity is marked as a late-selling beverage commodity type;

and Z3, increasing the standard storage quantity corresponding to the hot-sold beverage commodity type in the next adjusting time period, and reducing the standard storage quantity corresponding to the lost-sold beverage commodity type.

The invention has the following beneficial effects:

(1) according to the method, the sales allowance corresponding to each beverage commodity type in the beverage vending machine is counted and compared with the set commodity sales allowance threshold value to judge whether replenishment is needed, if the replenishment is needed, replenishment parameters are obtained from the sales allowance, meanwhile, the quality expiration date corresponding to each beverage commodity is obtained, the current date is compared with the quality expiration date corresponding to each beverage commodity in real time to judge whether off-shelf processing is needed, if the off-shelf processing is needed, the off-shelf parameters are obtained, then, the storage environment parameters of the beverage commodities at each shelf of the beverage vending machine are detected in real time, the detection results are analyzed, whether storage environment parameter regulation and control are needed is judged, if the storage environment parameter regulation and control are needed, the regulation and control parameters are obtained, and the corresponding sales allowance, the beverage commodity in the beverage vending machine is realized, Quality guarantee due date and storage environment's real time monitoring management, perfect control management index, remedy the too single drawback of control management index to beverage vending machine at present, improved the supervision level to beverage vending machine, and through carrying out the off-shelf processing to the beverage commodity that needs the off-shelf processing, carry out storage environment parameter regulation and control to the goods shelves that need carry out storage environment parameter regulation and control, the quality of beverage commodity has been ensured greatly, and then guaranteed that the consumer is healthy, be favorable to improving consumer's use and experience the sense.

(2) According to the invention, the remote monitoring module for the goods taking state of the goods taking port is arranged to remotely monitor the goods taking state of the corresponding goods taking port of the beverage vending machine so as to identify whether the goods taking port fault exists, if so, fault voice prompt is carried out, and the fault parameter of the goods taking port is obtained, so that the monitoring and management of the goods taking state of the goods taking port are realized, and the problem that the normal use of a consumer is influenced because the goods taking port cannot be known in time when the goods taking port is in fault is avoided.

(3) When the off-shelf parameters, the replenishment parameters and the failure parameters of the goods taking port are obtained, the off-shelf parameters, the replenishment parameters and the failure parameters of the goods taking port are intelligently processed nearby according to the route distances from all replenishment points and all background processing centers corresponding to the beverage vending machine, so that the processing time is saved, and the processing efficiency is improved.

(4) According to the invention, the standard storage quantity of the beverage vending machine corresponding to each beverage commodity type is dynamically adjusted, so that the beverage commodities sold by the beverage vending machine can be matched with the consumption requirements of consumers in real time, on one hand, the consumption desire of the consumers for the beverage commodities in the beverage vending machine is stimulated, on the other hand, the sales quantity of the beverage commodities in the beverage vending machine is increased, further, the income of enterprises corresponding to the beverage vending machine is increased, and the win-win result of the consumers and the beverage vending machine enterprises is realized.

Drawings

The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.

Fig. 1 is a schematic diagram of the module connection of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.

Referring to fig. 1, the self-service selling system commodity intelligent management system based on cloud computing and data analysis comprises a beverage commodity basic parameter acquisition module, a beverage commodity allowance counting module, a storage environment parameter acquisition module, a goods taking port goods taking state remote monitoring module, a management cloud platform, a management database, a fault voice prompt module and an intelligent processing terminal.

The beverage commodity basic parameter acquisition module is respectively connected with the beverage commodity allowance counting module and the management cloud platform, the beverage commodity allowance counting module and the storage environment parameter acquisition module are both connected with the management cloud platform, the management cloud platform is connected with the intelligent processing terminal, and the goods taking port goods taking state remote monitoring module is respectively connected with the fault voice prompt module and the intelligent processing terminal.

The beverage commodity basic parameter acquisition module is used for numbering all goods shelves existing in the beverage vending machine, and the goods shelves are marked as 1,2, 1, i, 1, n, counting the number of the existing beverage commodities on each goods shelf, acquiring the goods position number of each beverage commodity, and acquiring the basic parameters of each beverage commodity, wherein the basic parameters comprise the types of the beverage commodities and the quality guarantee expiration date of the commodities, transmitting the types of the beverage commodities corresponding to the beverage commodities existing on each goods shelf to the beverage commodity sales allowance counting module, and transmitting the quality guarantee expiration date corresponding to each beverage commodity existing on each goods shelf to the management cloud platform.

There are a plurality of shelves in the beverage vending machine mentioned in this embodiment, each shelf includes a plurality of bays thereon, each bay for storing a single beverage item.

The present embodiment is through carrying out basic parameter acquisition to each beverage commodity that exists on each goods shelves in the beverage automatic vending machine, for carrying out beverage commodity sales allowance statistics on the one hand and provide the statistical basis, on the other hand provides the analysis basis for carrying out the commodity analysis of putting off the shelf.

The beverage commodity sales allowance counting module receives the beverage commodity types corresponding to the existing beverage commodities on the goods shelves sent by the beverage commodity basic parameter acquisition module, counts the sales allowance corresponding to the beverage commodity types, and sends the sales allowance to the management cloud platform, and the specific counting process is as follows:

t1, comparing the beverage commodity types corresponding to the beverage commodities existing on the shelves with each other, analyzing whether the same beverage commodity type exists or not, if so, collecting and counting the beverage commodities corresponding to the same beverage commodity type, thereby obtaining the number of the beverage commodities corresponding to the beverage commodity types existing on the beverage vending machine;

t2, acquiring the standard storage quantity corresponding to each beverage commodity type corresponding to the current beverage vending machine;

and T3, subtracting the quantity of the beverage commodities corresponding to the beverage commodity type existing in the beverage vending machine from the standard storage quantity corresponding to the beverage commodity type corresponding to the beverage vending machine at present to obtain the sale allowance corresponding to each beverage commodity type.

The embodiment is through counting the sales allowance that each beverage commodity kind corresponds in this beverage vending machine, provides the basis for follow-up replenishment analysis of carrying on.

Storage environmental parameter collection module is used for setting up storage environment detection terminal in each goods shelves department of beverage vending machine, storage environment detection terminal includes temperature sensor, humidity transducer and light intensity sensor for the beverage commodity storage environmental parameter of each goods shelves department of real-time detection beverage vending machine to send it to management cloud platform, wherein storage environmental parameter includes temperature, humidity and illumination intensity.

The storage environment parameters selected by the embodiment are temperature, humidity and illumination intensity, which are because the temperature, humidity and illumination intensity have a large influence on the quality of the beverage commodity, and when the temperature is higher, the humidity is higher, and the illumination intensity is higher, the taste of the beverage commodity is influenced, and the quality of the beverage commodity is damaged.

The management database is used for storing the proper storage environment parameters corresponding to the beverage commodities.

The management cloud platform receives the quality guarantee due date of the beverage commodities corresponding to the existing beverage commodities on the shelves sent by the beverage commodity basic parameter acquisition module, acquires the current date in real time, compares the quality guarantee due date of the beverage commodities with the current date, indicates that the quality guarantee of the beverage commodities is invalid if the quality guarantee due date of a certain beverage commodity is consistent with the current date, needs to be placed on shelves for processing, and acquires the placement parameters, wherein the placement parameters comprise the type of the beverage commodities placed on the shelves, the serial number of the goods positions where the beverage commodities placed on the shelves are located, and the placement date is the quality guarantee due date, locks the beverage commodities needing to be placed on the shelves for processing, stops selling, and sends the placement parameters to the intelligent processing terminal.

The embodiment provides a processing target for the subsequent shelf taking-off processing by obtaining the shelf taking-off parameters of the beverage commodities needing the shelf taking-off processing.

The embodiment effectively prevents the beverage commodity from being purchased by the consumer by locking the beverage commodity needing to be off-shelf for processing.

The management cloud platform also receives the sales allowance corresponding to each beverage commodity type sent by the beverage commodity allowance counting module, compares the sales allowance with a set commodity sales allowance threshold, if the sales allowance corresponding to a certain beverage commodity type is smaller than the commodity sales allowance threshold, indicates that the beverage commodity type needs replenishment, obtains replenishment parameters at the moment, and sends the replenishment parameters to the intelligent processing terminal, wherein the replenishment parameters comprise replenishment beverage commodity types, replenishment beverage commodity quantity and replenishment dates, the replenishment beverage commodity quantity obtaining method is to subtract the sales allowance from the standard storage quantity corresponding to the beverage commodity type needing replenishment, and the replenishment dates refer to the dates needing replenishment currently.

According to the embodiment, the replenishment parameters of the types of the beverage commodities needing replenishment are acquired, so that a processing target is provided for subsequent replenishment processing.

Simultaneously, the beverage commodity storage environment parameter of each goods shelves department of beverage vending machine that the management cloud platform still received storage environment parameter collection module and sent, and carry out the analysis to the beverage commodity storage environment parameter of each goods shelves department that receives, thereby judge whether there is regulation and control goods shelves according to the analysis result, if exist, acquire the regulation and control parameter, and send the regulation and control parameter to intelligent processing terminal, wherein the regulation and control parameter is including regulation and control goods shelves serial number and regulation and control storage environment parameter, its specific judgement process as follows:

h1 forming shelf storage environment parameter set G from storage environment parameters of beverage products at each shelf_w(g_w1,g_w2,...,g_wi,...,g_wn)，g_wi is a numerical value corresponding to the storage environment parameter of the beverage commodity at the ith shelf, w is a storage environment parameter, and w is r1, r2 and r3 which are respectively expressed as temperature, humidity and illumination intensity;

h2, extracting proper storage environment parameters corresponding to the beverage commodities from the management database, wherein the proper storage environment parameters are proper ranges corresponding to temperature, humidity and illumination intensity, comparing a shelf storage environment parameter set with the proper storage environment parameters corresponding to the beverage commodities, if any storage environment parameter corresponding to the beverage commodity at a certain shelf is not in the proper range corresponding to the storage environment parameter, indicating that the shelf needs to be subjected to storage environment parameter regulation and control, marking the shelf as a regulation and control shelf, and marking the storage environment parameter as a regulation and control storage environment parameter.

According to the embodiment, the regulation and control parameters of the goods shelf needing to be subjected to storage environment parameter regulation and control are obtained, so that a processing target is provided for the subsequent regulation and control treatment.

This embodiment is through carrying out storage environment parameter detection respectively to each goods shelves in the beverage automatic vending machine, avoids carrying out storage environment parameter detection to the whole region in the beverage automatic vending machine and causes the problem that the detection area scope is too wide and influence the testing result precision.

This embodiment is through selling the surplus respectively to the beverage commodity in the beverage vending machine, shelf life and storage environment control management, perfect control management index, remedy the too single drawback of control management index to the beverage vending machine at present, the supervision level to the beverage vending machine has been improved, and handle off-shelf through the beverage commodity of handling off-shelf to needs, the goods shelves that carry out storage environment parameter regulation and control to needs, the quality of beverage commodity has been ensured, and then consumer's healthy has been ensured, be favorable to improving consumer's use and experience.

The management cloud platform further comprises a step of dynamically adjusting the standard storage quantity of the beverage vending machine corresponding to each beverage commodity type, wherein the specific adjusting method comprises the following steps:

z1, counting the selling quantity of the beverage vending machine corresponding to each beverage commodity type according to the set adjusting time period;

z2, comparing the selling quantity corresponding to each beverage commodity type, screening the beverage commodity type with the largest selling quantity from the selling quantity, wherein the beverage commodity type is marked as a hot-selling beverage commodity type, and the beverage commodity type with the smallest selling quantity is marked as a late-selling beverage commodity type;

and Z3, increasing the standard storage quantity corresponding to the hot-sold beverage commodity type in the next adjusting time period, and reducing the standard storage quantity corresponding to the lost-sold beverage commodity type.

This embodiment carries out dynamic adjustment through the standard storage quantity to this beverage vending machine corresponding each beverage commodity kind for the beverage commodity that this beverage vending machine sold can match consumer's consumption demand in real time, the consumer has been aroused on the one hand to the consumption desire of this beverage vending machine built-in beverage commodity, on the other hand has improved the sales quantity of this beverage vending machine built-in beverage commodity, and then has improved the income of this beverage vending machine corresponding enterprise, consumer and the win-win result of beverage vending machine enterprise have been realized.

Get the goods mouth and get goods state remote monitoring module and be used for getting the goods state of getting of goods mouth to beverage vending machine correspondence, the discernment whether has the trouble of getting the goods mouth, if exist, then send trouble suggestion instruction to trouble voice prompt module to acquire and get goods mouth fault parameter, and will get goods mouth fault parameter and send to intelligent processing terminal, wherein fault parameter includes fault type and trouble time point, fault type is including opening a warehouse fault type and getting goods matching fault type, the trouble time point is the time point that breaks down, its concrete monitoring process as follows:

d1, installing a monitoring camera at the upper end of the goods taking port, and controlling the monitoring camera to start working when the consumer finishes payment;

d2, extracting a consumer payment interface, and calling the types and the quantity of the beverage commodities paid by the consumer from the consumer payment interface;

d3, monitoring the goods taking port by the monitoring camera, acquiring a goods taking state image of the goods taking port, further judging whether the goods taking port is opened from the goods taking state image of the goods taking port, if the goods taking port is not opened, indicating that the goods taking port is opened, recording the current time point, and if the goods taking port is opened, executing the step D4;

d4, acquiring images of the commodities in the goods taking port bin to obtain images of the commodities in the goods taking port bin, identifying the types and the quantity of the beverage commodities of the commodities in the goods taking port bin at the moment, matching the identified types and the quantity of the beverage commodities with the types and the quantity of the beverage commodities paid by the consumer, if any one of the types or the quantity of the beverage commodities fails to be matched, indicating that the goods taking port has a matching fault of the goods taking commodities, closing the goods taking port at the moment, and recording the current time point.

This embodiment gets goods mouth through setting up and gets goods state remote monitoring module, and the goods state of getting that gets goods mouth is corresponded to beverage vending machine carries out remote monitoring to whether this discernment exists gets goods mouth trouble, if exist, then carry out trouble voice prompt, and acquire and get goods mouth fault parameter, realized getting the control management of goods mouth and getting goods state, avoid when getting goods mouth and breaking down, can't in time learn, influence consumer's normal use.

And the fault voice prompt module is used for carrying out fault voice prompt after receiving the fault prompt so as to remind a manager to pay attention in time.

The intelligent processing terminal is used for intelligently processing the acquired shelf-off parameters, goods replenishment parameters, regulation and control parameters and goods taking port fault parameters, and the specific processing process executes the following steps:

f1, locating the geographical position of the beverage vending machine;

f2, acquiring all replenishment points and all background processing centers corresponding to the beverage vending machine, and positioning the geographical positions of the replenishment points and the geographical positions of the background processing centers;

f3, respectively counting the route distance from each replenishment point to the beverage vending machine and the route distance from each background processing center to the beverage vending machine according to the geographic position of the beverage vending machine, the geographic position of each replenishment point and the geographic position of each background processing center, sequencing all replenishment points corresponding to the beverage vending machine according to the route distance from near to far to obtain a replenishment point set corresponding to the beverage vending machine, and sequencing all background processing centers corresponding to the beverage vending machine according to the route distance from near to far to obtain a background processing center set corresponding to the beverage vending machine;

f4: extracting replenishment date from the replenishment parameters, and performing nearby replenishment processing according to the replenishment point set corresponding to the beverage vending machine within the replenishment date, the specific processing procedure comprises the steps of sequentially extracting replenishment points from a replenishment point set corresponding to the beverage vending machine within the replenishment date, transmitting the types and the quantity of the replenishment beverage commodities to the extracted replenishment points, matching the replenishment commodities by the replenishment points, and if the replenishment commodity matching at the replenishment points is successful, stopping the pick-up of the replenishment spot, replenishing the replenishment by the replenishment spot, if the replenishment of the replenishment spot fails to match the product, transmitting a replenishment failure message from the replenishment spot to the beverage vending machine, after receiving the replenishment failure information, extracting a replenishment point arranged at the next position from a replenishment point set corresponding to the beverage vending machine, and continuing to match replenishment commodities until the replenishment point arranged at the last position is extracted;

f5, extracting the shelf-off date from the shelf-off parameters, and performing the shelf-off process according to the corresponding background process center set of the beverage vending machine within the shelf-off date, wherein the specific process comprises sequentially extracting the background process centers from the corresponding background process center set of the beverage vending machine within the shelf-off date, and further transmitting the types of the beverage commodities, the shelf numbers of the beverage commodities and the positions of the beverage commodities to the background process center, receiving the shelf-off task by the background process center, stopping the background process center extraction if the background process center receives the shelf-off task within the set time interval, arranging the processing personnel to perform the shelf-off process by the background process center, indicating that the background process center has no idle processing personnel temporarily if the background process center does not receive the shelf-off task within the set time interval, at the moment, extracting the next-ranked background processing center from the background processing center set corresponding to the beverage vending machine, and continuing waiting for the background processing center to receive the off-shelf task until the last-ranked background processing center is extracted;

f6, extracting failure time points from the failure parameters of the goods taking port, and performing near failure treatment at the failure time points according to the background treatment center set corresponding to the beverage vending machine, wherein the specific treatment process comprises the steps of sequentially extracting the background treatment centers from the background treatment center set corresponding to the beverage vending machine at the failure time points, further transmitting the failure types to the background treatment centers, receiving the failure maintenance tasks by the background treatment centers, stopping the background treatment center extraction if the background treatment centers receive the failure maintenance tasks within a set time interval, arranging the treatment personnel to perform the failure maintenance by the background treatment centers, if the background treatment centers do not receive the failure maintenance tasks within the set time interval, indicating that the background treatment centers have no spare treatment personnel, at the moment, extracting the next background treatment centers from the background treatment center set corresponding to the beverage vending machine temporarily, continuing waiting for the background processing center to receive the fault maintenance task until the last background processing center is extracted;

f7, extracting the storage environment regulating and controlling parameters from the regulating and controlling parameters to further obtain the regulating and controlling equipment corresponding to the storage environment regulating and controlling parameters, marking the regulating and controlling equipment as target regulating and controlling equipment, and extracting the storage shelf number from the regulating and controlling parameters to control the target regulating and controlling equipment to regulate and control the storage environment regulating and controlling parameters on the regulating and controlling shelf number.

In this embodiment, if the storage environment parameter is temperature, the control device corresponding to the storage environment parameter may be an air conditioner, if the storage environment parameter is humidity, the control device corresponding to the storage environment parameter may be a dehumidifier, and if the storage environment parameter is illumination intensity, the control device corresponding to the storage environment parameter may be a sun visor.

When the lower shelf parameter, the replenishment parameter and the goods taking port fault parameter are obtained, the lower shelf parameter, the replenishment parameter and the goods taking port fault parameter are intelligently processed nearby according to all replenishment points corresponding to the beverage vending machine and route distances from all background processing centers to the beverage vending machine, processing time is saved, and processing efficiency is improved.

The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.