1. An elevator control method based on the degree of congestion of an elevator, comprising:

detecting the number of passengers in the elevator through a camera device preset in the elevator, and determining the number of organisms and plants in the elevator;

according to the number of people in the elevator and the internal space of the elevator, calculating the internal crowding degree of the elevator, and determining the crowding degree value;

judging whether the congestion value reaches a preset congestion threshold value;

when the preset congestion threshold is reached, the elevator is controlled at low energy consumption by adopting the independent control subsystem;

and when the preset congestion threshold value is not reached, the elevator is controlled conventionally by adopting a main control system.

2. The elevator control method according to claim 1, wherein the control method comprises: the camera equipment includes first camera, second camera, third camera, fourth camera, first camera, second camera, third camera, fourth camera are installed respectively in four contained angle departments of elevator upside, wherein:

the first camera and the third camera are a first camera group, the second camera and the fourth camera are a second camera group, and the cameras in the first camera group and the second camera group are obliquely and symmetrically distributed;

the first camera group carries out biological recognition and object recognition on a unit entering the elevator to generate recognition information; wherein the content of the first and second substances,

the identification information includes: portrait information, pet information, plant information, and object information;

the second camera group performs corresponding quantity detection and area detection according to the identification information; wherein the content of the first and second substances,

the quantity monitoring comprises: the number of persons, the number of pets, the number of plants and the number of objects;

the area detection is the area of the bottom surface of the elevator room in the elevator.

3. The elevator control method according to claim 2, wherein the control method comprises: the biometric identification includes:

carrying out dynamic capture in the elevator based on the first camera group, identifying personnel and animals, and then identifying according to the outline and the appearance to determine biological information; wherein the content of the first and second substances,

the determining of the biological information comprises the steps of:

acquiring a biological dynamic video entering the elevator according to the first camera group;

extracting and marking the biological form of each frame of the biological dynamic video through a preset first target frame to generate a target frame diagram set;

dividing the image of each frame corresponding to each first target frame according to the target frame set and the foreground area and the background area; wherein the content of the first and second substances,

a background area is arranged outside the first target frame, and a foreground area is arranged inside the first target frame;

blurring the background area and extracting image features in the foreground area image; wherein the content of the first and second substances,

the image features include at least: contour features, color features, pixel position features and adjacent same-color region shape features;

parameterizing the image features according to a preset parameter comparison table to obtain parameterized parameters;

obtaining parameters of foreground region parameterization in each first target frame in the target block diagram set, comparing the parameters, and determining the same parameters;

determining target characteristics corresponding to the same parameters according to the same parameters, and determining biological information;

carrying out plant image contrast identification based on a preset plant database, judging whether plants exist in the elevator or not, and determining the types of the plants; wherein the content of the first and second substances,

the plant identification comprises the following steps:

acquiring a plant image entering the elevator according to the first camera group;

extracting the plant image through a preset second target frame, identifying a biological image part and an elevator scene part in the target frame, and blurring the scene;

acquiring a plant image after the scene is blurred, and determining the characteristics of the plant image;

and matching and comparing the plant image characteristics with plant characteristics in a preset plant image database to determine plant types.

4. The elevator control method according to claim 2, wherein the control method comprises: the area detection comprises a first area detection and a second area detection, wherein:

the first area detection is to perform area detection on the occupied area of organisms or objects entering the elevator to obtain a first detection area;

after the second area detection receives a closing instruction through the elevator door, the total occupied area inside the elevator is detected to obtain a second detection area;

when the areas of the two times are consistent, generating the actual occupied area in the elevator;

when the areas of the two times are inconsistent, carrying out third-time area detection to generate the actual occupied area in the elevator;

the number detection comprises a first number detection and a second number detection, wherein:

the first quantity detection is to detect the quantity of the units entering the elevator to obtain a first detection quantity;

after the second quantity detection receives a closing instruction through the elevator door, the quantity detection is carried out on the internal units of the elevator to obtain a second detection quantity;

when the number of the two times is consistent, generating the actual number in the elevator;

and when the quantity of the two times is inconsistent, carrying out third quantity detection to generate the actual quantity in the elevator.

5. The elevator control method according to claim 4, wherein the third time area detection includes:

through the laser scanning and identifying operation inside the elevator, the laser scanning and identifying operation inside the elevator is carried out on the inside of the elevator from outside to inside based on a laser scanner at the top end inside the elevator, and the actual occupied area inside the elevator is obtained;

the third number detection further comprises:

through the inside laser scanning discernment operation of elevator, based on the laser scanner on the inside top of elevator, from outer to interior, from last to carrying out laser scanning to elevator inside down, reacing the inside actual number of people of elevator.

6. The elevator control method based on the degree of congestion of the elevator according to claim 1, characterized in that the method further comprises:

comparing the congestion value with a preset congestion threshold, wherein:

when the congestion value does not reach the preset congestion threshold value, adopting an independent control subsystem;

and when the congestion value reaches the preset congestion threshold value, the elevator is conventionally controlled by adopting a main control system.

7. The elevator control method according to claim 1, wherein the control method comprises: the method further comprises the following steps:

counting floors of an upper elevator and a lower elevator, and establishing an upper elevator floor distribution model and a lower elevator floor distribution model; wherein:

the distribution model of the upper elevator floors comprises floors waiting for ascending, the number of units waiting for ascending on each floor and the ascending stop sequence;

the descending elevator floor distribution model comprises floors waiting for descending, the number of units waiting for descending on each floor and the descending stopping sequence.

8. The elevator control method according to claim 6, wherein the control method comprises: the single control subsystem for low energy consumption control of the elevator comprises:

the independent control subsystem groups floors with uplink and downlink requests according to the uplink elevator floor distribution model and the downlink elevator floor distribution model; wherein:

when the elevator is an ascending elevator, firstly receiving the floor information of the descending elevator in the current elevator; secondly, receiving other floor uplink request information;

grouping according to the floor of the current elevator for going down the elevator and other floors for requesting going up the elevator; and when the difference between the actual elevator descending number of the nearest elevator descending floor and the current elevator internal number is added with the waiting number of the ascending elevators which are requested to ascend and are nearest to the current nearest floor does not exceed the congestion degree threshold, finishing grouping and determining a first stopping strategy.

9. The elevator control method according to claim 8, wherein the control method comprises: the elevator control method further includes:

after the brake finishes braking, carrying out movement detection on the elevator car;

if the lift car moves, controlling the star sealing contactor to carry out star sealing braking on a traction machine of the elevator; wherein the content of the first and second substances,

the movement detection includes:

according to the moving distance of the car, comparing the moving distance of the car with the preset safety distance, and determining a first detection result;

according to first pulse data recorded by a detection rotary encoder, the first pulse data is pulse signal data sent by a traction machine and collected by the rotary encoder at the moment when a brake is finished; detecting second pulse data recorded by a rotary encoder, wherein the second pulse data is pulse signal data sent by a traction machine at the current moment after the brake of the rotary encoder is finished; judging whether the car moves according to the difference value of the second pulse data and the first pulse data, and determining a second detection result;

and when the first detection result and the second detection result both indicate that the moving distance of the car is greater than the safe distance, judging that the car moves.

10. The elevator control method according to claim 8, wherein the control method comprises: the method further comprises the following steps:

detecting the quantity of the elevator units when the ascending elevator reaches the floor requested by the elevator through a monitoring system in the elevator; wherein

When the number of the current elevator units is less than that of the upper elevator units, deleting the stop command of the upper elevator floor in the first stop strategy; and performing the next group of stops until all the elevator-descending commands in the elevator are completed.

Background

At present, with the modernization of life, an elevator becomes an indispensable device for each building; especially, in modern office buildings, the elevators are used during daily work and work; however, as the number of people in an office building is large, the elevator is often delayed in the decision of stopping in the ascending and descending process during the use of the elevator, so that the cost of the elevator for the people who need to go upstairs and downstairs is too long; sometimes, under the condition that the number of people in the elevator is small, passengers needing to go upwards do not stay in the ascending process, but go upwards directly, then go downwards, and finally go upwards again, so that passengers at the middle layer position of the office building can go upwards; sometimes, when people want to descend in the middle and high floors, the elevator firstly takes the persons in the middle floor from bottom to top, then takes the persons in the high floors and finally descends; under the conditions, the time for taking the elevator is greatly wasted, the running cost of the elevator is invisibly increased, and the elevator taking efficiency of people is also reduced; therefore, the invention provides an elevator control method based on the crowdedness of the elevator, so as to solve the defects in the prior art.

Disclosure of Invention

The invention provides an elevator control method based on elevator crowding, which is used for solving the problems that the elevator stops inefficiently, the existing uplink and downlink control is complicated when the number of riding units is large, and the uplink and downlink cannot obtain an optimized route.

An elevator control method based on elevator crowdedness, comprising:

detecting the number of passengers in the elevator through camera equipment preset in the elevator, and determining the number of passengers in the elevator;

according to the number of people in the elevator and the internal space of the elevator, calculating the internal crowding degree of the elevator, and determining the crowding degree value;

judging whether the congestion value reaches a preset congestion threshold value;

when the preset congestion threshold is reached, the elevator is controlled at low energy consumption by adopting the independent control subsystem;

and when the preset congestion threshold value is not reached, the elevator is controlled conventionally by adopting a main control system.

As an embodiment of the present invention: the camera equipment includes first camera, second camera, third camera, fourth camera, first camera, second camera, third camera, fourth camera are installed respectively in four contained angle departments of elevator upside, wherein:

the first camera and the third camera are a first camera group, the second camera and the fourth camera are a second camera group, and the cameras in the first camera group and the second camera group are obliquely and symmetrically distributed;

the first camera group carries out biological recognition and object recognition on a unit entering the elevator to generate recognition information; wherein the content of the first and second substances,

the identification information includes: portrait information, pet information, plant information, and object information;

the second camera group performs corresponding quantity detection and area detection according to the identification information; wherein the content of the first and second substances,

the quantity monitoring comprises: the number of persons, the number of pets, the number of plants and the number of objects;

the area detection is the area of the bottom surface of the elevator room in the elevator.

As an embodiment of the present invention: the biometric identification includes:

carrying out dynamic capture in the elevator based on the first camera group, identifying personnel and animals, and then identifying according to the outline and the appearance to determine biological information; wherein the content of the first and second substances,

the determining of the biological information comprises the steps of:

acquiring a biological dynamic video entering the elevator according to the first camera group;

extracting and marking the biological form of each frame of the biological dynamic video through a preset first target frame to generate a target frame diagram set;

dividing the image of each frame corresponding to each first target frame according to the target frame set and the foreground area and the background area; wherein the content of the first and second substances,

a background area is arranged outside the first target frame, and a foreground area is arranged inside the first target frame;

blurring the background area and extracting image features in the foreground area image; wherein the content of the first and second substances,

the image features include at least: contour features, color features, pixel position features and adjacent same-color region shape features;

parameterizing the image features according to a preset parameter comparison table to obtain parameterized parameters;

obtaining parameters of foreground region parameterization in each first target frame in the target block diagram set, comparing the parameters, and determining the same parameters;

and determining the target characteristics corresponding to the same parameters according to the same parameters, and determining biological information.

Carrying out plant image contrast identification based on a preset plant database, judging whether plants exist in the elevator or not, and determining the types of the plants; wherein the content of the first and second substances,

the plant identification comprises the following steps:

acquiring a plant image entering the elevator according to the first camera group;

extracting the plant image through a preset second target frame, identifying a biological image part and an elevator scene part in the target frame, and blurring the scene;

acquiring a plant image after the scene is blurred, and determining the characteristics of the plant image;

and matching and comparing the plant image characteristics with plant characteristics in a preset plant image database to determine plant types.

As an embodiment of the present invention: the area detection comprises a first area detection and a second area detection, wherein:

the first area detection is to perform area detection on the occupied area of organisms or objects entering the elevator to obtain a first detection area;

after the second area detection receives a closing instruction through the elevator door, the total occupied area inside the elevator is detected to obtain a second detection area;

when the areas of the two times are consistent, generating the actual occupied area in the elevator;

when the areas of the two times are inconsistent, carrying out third-time area detection to generate the actual occupied area in the elevator;

the number detection comprises a first number detection and a second number detection, wherein:

the first quantity detection is to detect the quantity of the units entering the elevator to obtain a first detection quantity;

after the second quantity detection receives a closing instruction through the elevator door, the quantity detection is carried out on the internal units of the elevator to obtain a second detection quantity;

when the number of the two times is consistent, generating the actual number in the elevator;

and when the quantity of the two times is inconsistent, carrying out third quantity detection to generate the actual quantity in the elevator.

As an embodiment of the present invention: the third time area detection comprises the following steps:

through the laser scanning and identifying operation inside the elevator, the laser scanning and identifying operation inside the elevator is carried out on the inside of the elevator from outside to inside based on a laser scanner at the top end inside the elevator, and the actual occupied area inside the elevator is obtained;

the third number detection further comprises:

through the inside laser scanning discernment operation of elevator, based on the laser scanner on the inside top of elevator, from outer to interior, from last to carrying out laser scanning to elevator inside down, reacing the inside actual number of people of elevator.

As an embodiment of the present invention: the method further comprises the following steps:

comparing the congestion value with a preset congestion threshold, wherein:

when the congestion value does not reach the preset congestion threshold value, adopting an independent control subsystem;

and when the congestion value reaches the preset congestion threshold value, the elevator is conventionally controlled by adopting a main control system.

As an embodiment of the present invention: the method further comprises the following steps:

counting floors of an upper elevator and a lower elevator, and establishing a distribution model of the floors of the upper elevator and a distribution model of the floors of the lower elevator; wherein:

the distribution model of the upper elevator floors comprises floors waiting for ascending, the number of units waiting for ascending on each floor and the ascending stop sequence;

the descending elevator floor distribution model comprises floors waiting for descending, the number of units waiting for descending on each floor and the descending stopping sequence.

As an embodiment of the present invention: the single control subsystem for low energy consumption control of the elevator comprises:

the independent control subsystem groups floors with uplink and downlink requests according to the uplink elevator floor distribution model and the downlink elevator floor distribution model; wherein:

when the elevator is an ascending elevator, firstly receiving the floor information of the descending elevator in the current elevator; secondly, receiving other floor uplink request information;

grouping according to the floor of the current elevator for going down the elevator and other floors for requesting going up the elevator; and when the difference between the actual elevator descending number of the nearest elevator descending floor and the current elevator internal number is added with the waiting number of the ascending elevators which are requested to ascend and are nearest to the current nearest floor does not exceed the congestion degree threshold, finishing grouping and determining a first stopping strategy.

As an embodiment of the present invention: the elevator control method further includes:

after the brake finishes braking, carrying out movement detection on the elevator car;

if the lift car moves, controlling the star sealing contactor to carry out star sealing braking on a traction machine of the elevator; wherein the content of the first and second substances,

the movement detection includes:

according to the moving distance of the car, comparing the moving distance of the car with the preset safety distance, and determining a first detection result;

according to first pulse data recorded by a detection rotary encoder, the first pulse data is pulse signal data sent by a traction machine and collected by the rotary encoder at the moment when a brake is finished; detecting second pulse data recorded by a rotary encoder, wherein the second pulse data is pulse signal data sent by a traction machine at the current moment after the brake of the rotary encoder is finished; judging whether the car moves according to the difference value of the second pulse data and the first pulse data, and determining a second detection result;

and when the first detection result and the second detection result both indicate that the moving distance of the car is greater than the safe distance, judging that the car moves.

As an embodiment of the present invention: the method further comprises the following steps:

detecting the quantity of the elevator units when the ascending elevator reaches the floor requested by the elevator through a monitoring system in the elevator; wherein

When the number of the current elevator units is less than that of the upper elevator units, deleting the stop command of the upper elevator floor in the first stop strategy; and performing the next group of stops until all the elevator-descending commands in the elevator are completed.

The invention has the beneficial effects that: the number of the units in the elevator is identified by the camera shooting system in the elevator, so that compared with the traditional weighing mode, the result precision is improved, and the availability parameters are provided for the algorithm of the subsequent operation strategy; the quantity crowding degree and the area crowding degree are combined to calculate the crowding degree value, and the comprehensive accommodation degree of the crowding degree value is improved; the higher the preset adaptability of the congestion threshold value is, the better the actual use experience of the elevator operation decision is, the up-down efficiency of the elevator is comprehensively improved, the elevator waiting time of passengers getting on and off the elevator is reduced, and the operation and maintenance cost of the elevator is reduced.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.

The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:

fig. 1 is a flow chart of a method of elevator control based on elevator congestion level in an embodiment of the present invention;

fig. 2 is a composition diagram of an elevator control system of an elevator control method based on the degree of congestion of an elevator in the embodiment of the present invention;

fig. 3 is a functional diagram of a camera system of an elevator control method based on the degree of congestion of an elevator in the embodiment of the invention;

fig. 4 is a functional diagram of a control system of an elevator control method based on the degree of congestion of an elevator in the embodiment of the present invention;

fig. 5 is a functional diagram of a main control system of an elevator control method based on the congestion degree of an elevator in the embodiment of the invention;

fig. 6 is a functional diagram of a sub-control system of an elevator control method based on the degree of congestion of an elevator in the embodiment of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.

As shown in fig. 1 and 2, the invention is an elevator control method based on the crowdedness of an elevator, in the embodiment of the invention, the invention detects the number of passengers in the elevator through a camera device preset in the elevator, and determines the number of organisms and plants in the elevator;

according to the number of people in the elevator and the internal space of the elevator, calculating the internal crowding degree of the elevator, and determining the crowding degree value;

judging whether the congestion value reaches a preset congestion threshold value;

when the preset congestion threshold is reached, the elevator is controlled at low energy consumption by adopting the independent control subsystem;

and when the preset congestion threshold value is not reached, the elevator is controlled conventionally by adopting a main control system.

The working principle of the technical scheme is as follows: firstly, a camera system in an elevator carries out camera identification, the number of people entering the elevator is identified through a first camera group in the elevator, the number crowding degree of the interior of the elevator is calculated by combining the area of the interior of the elevator according to the number of people entering the elevator, meanwhile, the area crowding degree of the interior of the elevator is calculated according to the actual occupied area, the crowding value is finally obtained, the obtained crowding value is compared with a preset crowding threshold value, if the obtained crowding value is smaller than or equal to the threshold value, the elevator is subjected to main control operation, the main control operation is conventional operation adopted by everybody in the prior art, and people can stop at any floor as long as people are on or off.

The beneficial effects of the above technical scheme are: the number of the units in the elevator is identified by the camera shooting system in the elevator, so that compared with the traditional weighing mode, the result precision is improved, and the availability parameters are provided for the algorithm of the subsequent operation strategy; the quantity crowding degree and the area crowding degree are combined to calculate the crowding degree value, and the comprehensive accommodation degree of the crowding degree value is improved; the higher the preset adaptability of the congestion threshold value is, the better the actual use experience of the elevator operation decision is, the up-down efficiency of the elevator is comprehensively improved, the elevator waiting time of passengers getting on and off the elevator is reduced, and the operation and maintenance cost of the elevator is reduced.

As shown in fig. 3, in one embodiment,

the camera equipment includes first camera, second camera, third camera, fourth camera, first camera, second camera, third camera, fourth camera are installed respectively in four contained angle departments of elevator upside, wherein:

the first camera and the third camera are a first camera group, the second camera and the fourth camera are a second camera group, and the cameras in the first camera group and the second camera group are obliquely and symmetrically distributed;

the first camera group carries out biological recognition and object recognition on a unit entering the elevator to generate recognition information; wherein the content of the first and second substances,

the identification information includes: portrait information, pet information, plant information, and object information;

the second camera group performs corresponding quantity detection and area detection according to the identification information; wherein the content of the first and second substances,

the quantity monitoring comprises: the number of persons, the number of pets, the number of plants and the number of objects;

the area detection is the area of the bottom surface of the elevator room in the elevator.

The principle of the technical characteristics is as follows: the camera equipment preset in the elevator consists of four cameras distributed at four corners above the interior of the elevator, the four cameras do not have dead angles to cover the interior space of the elevator and carry out twice camera shooting identification, the first camera and the third camera are a first camera group, the second camera and the fourth camera are a second camera group, and the cameras in the first camera group and the second camera group are obliquely and symmetrically distributed; the effect of the write pair distribution is to achieve a diagonal shot and more capture the characteristics of living beings, plants or other objects. Biometric identification and object identification are identification of a range of space-occupying items including animals, plants, pets, and goods. And judging the number and the occupied area.

The beneficial effects of the technology are as follows: the invention can realize the omnibearing detection of the diagonal recognition based on a plurality of cameras, one camera is adopted in the prior art, the cost seems to be less, but in a large-scale office building, because the personnel are dense, whether the elevator is fast or not can influence the business of an enterprise to a great extent.

In one embodiment: the biometric identification includes:

carrying out dynamic capture in the elevator based on the first camera group, identifying personnel and animals, and then identifying according to the outline and the appearance to determine biological information; wherein the content of the first and second substances,

the determining of the biological information comprises the steps of:

acquiring a biological dynamic video entering the elevator according to the first camera group;

extracting and marking the biological form of each frame of the biological dynamic video through a preset first target frame to generate a target frame diagram set;

dividing the image of each frame corresponding to each first target frame according to the target frame set and the foreground area and the background area; wherein the content of the first and second substances,

a background area is arranged outside the first target frame, and a foreground area is arranged inside the first target frame;

blurring the background area and extracting image features in the foreground area image; wherein the content of the first and second substances,

the image features include at least: contour features, color features, pixel position features and adjacent same-color region shape features;

parameterizing the image features according to a preset parameter comparison table to obtain parameterized parameters;

obtaining parameters of foreground region parameterization in each first target frame in the target block diagram set, comparing the parameters, and determining the same parameters;

and determining the target characteristics corresponding to the same parameters according to the same parameters, and determining biological information.

Carrying out plant image contrast identification based on a preset plant database, judging whether plants exist in the elevator or not, and determining the types of the plants; wherein the content of the first and second substances,

the plant identification comprises the following steps:

acquiring a plant image entering the elevator according to the first camera group;

extracting the plant image through a preset second target frame, identifying a biological image part and an elevator scene part in the target frame, and blurring the scene;

acquiring a plant image after the scene is blurred, and determining the characteristics of the plant image;

and matching and comparing the plant image characteristics with plant characteristics in a preset plant image database to determine plant types.

The principle of the technical scheme is as follows: the invention carries out dynamic capture on the biological information because the biological moves, if only one image is captured, although the biological quantity can be determined, the occupied area of the biological cannot be determined, so the invention is the frame capture of the biological dynamic video. The target block diagram belongs to the common technology in the prior art and belongs to the technical field of snapshot, but because the invention judges the crowding degree of the elevator, the reference of the technology also belongs to a new direction, and the invention adopts a foreground and background distinguishing mode in technical implementation. Each block diagram is easier to extract and mark an internal special detection group, and the marking is used for better information extraction. The final parameterization is because in order to extract a more accurate image of the living being, the invention uses the same parameters as those of the target living being, because any living being is waiting inside the elevator, the shape characteristics are not substantially changed, and even if changed, most of the same characteristics must be the characteristics that are unique to him. Thereby more accurately determining the biological information. When the plants are identified, the plants have specific outlines, so that the plants are not subjected to dynamic change, and the method is directly based on the characteristic comparison of image pictures, and is adopted by not only the plants but also other articles which cannot be subjected to dynamic change.

The beneficial effects of the above technical scheme are that: the technical scheme of the invention is not the same as that of the invention in the prior art, so that the invention is not only a new idea, but also can accurately determine the area of each organism, article or plant entering the elevator, and also can determine the quantity of the organisms, articles or plants to realize accurate identification. For some articles which cannot be extruded, the applicable area of the articles can be enlarged to calculate the crowding degree.

In one embodiment: the area detection comprises a first area detection and a second area detection, wherein:

the first area detection is to perform area detection on the occupied area of organisms or objects entering the elevator to obtain a first detection area;

after the second area detection receives a closing instruction through the elevator door, the total occupied area inside the elevator is detected to obtain a second detection area;

when the areas of the two times are consistent, generating the actual occupied area in the elevator;

when the areas of the two times are inconsistent, carrying out third-time area detection to generate the actual occupied area in the elevator;

the number detection comprises a first number detection and a second number detection, wherein:

the first quantity detection is to detect the quantity of the units entering the elevator to obtain a first detection quantity;

after the second quantity detection receives a closing instruction through the elevator door, the quantity detection is carried out on the internal units of the elevator to obtain a second detection quantity;

when the number of the two times is consistent, generating the actual number in the elevator;

and when the quantity of the two times is inconsistent, carrying out third quantity detection to generate the actual quantity in the elevator.

The working principle of the technical scheme is as follows: through a camera system consisting of four cameras at the top in the elevator, when passengers enter the elevator, first recognition detection is carried out to obtain a first number detection result; when all passengers enter the elevator and before the elevator door is ready to be closed, carrying out identification detection on the passengers in the elevator to obtain a second passenger number detection result; after the results of the number detection of the two times are obtained, the results of the two times are checked, and if the results are consistent, the actual number of people in the elevator is obtained; and if the number of the people is inconsistent with the number of the people in the elevator, carrying out third identification detection to obtain the final number of the people in the elevator.

The beneficial effects of the above technical scheme are: the detection method comprises two groups of camera shooting and three detection steps, the accuracy of detection results is improved, the first group of camera shooting is identified at an elevator entrance, the identification instantaneity is enhanced, human beings, animals and plants are distinguished by identifying biological attributes, life bodies and objects are separated, the quantity detection and the area detection are more accurate, the second group of camera shooting is used for carrying out the first quantity and area detection, whether the internal units of the elevator are biological attributes or not is judged in the detection process, the detection time is greatly shortened according to a corresponding detection mode during detection, and the detection efficiency is improved; the second detection is performed, and comparison data with the first detection result is formed, so that the accuracy of the operation strategy is improved, and redundant operation is removed; when two testing results are different, carry out the third and detect, the last technical means, guarantee at the bottom of having made the data pocket for whole detecting system, reduce and detect the error rate, promote in-service use and experience, it is also more accurate to the detection of the inside number of elevator simultaneously.

In one embodiment, the third time area detection includes: through the elevator interior laser scanning recognition operation, the elevator interior laser scanning recognition operation is based on a laser scanner at the top end of the elevator interior; the third number detection further comprises:

through the laser scanning and identifying operation inside the elevator, the laser scanning and identifying operation inside the elevator is carried out on the inside of the elevator from outside to inside based on a laser scanner at the top end inside the elevator, and the actual occupied area inside the elevator is obtained; the third quantity detection is to perform laser scanning on the interior of the elevator from outside to inside and from top to bottom based on a laser scanner at the top end of the interior of the elevator through the laser scanning identification operation in the elevator, so as to obtain the actual number of people in the elevator;

the working principle of the technical scheme is as follows: carrying out laser scanning on the interior of the elevator from outside to inside to obtain the actual occupied area of the interior of the elevator; through the elevator interior laser scanning identification operation, based on a laser scanner at the top end of the elevator interior, laser scanning is performed on the interior of the elevator from outside to inside and from top to bottom, and the actual number of people in the elevator is obtained; respectively arranging a laser receiving point and a laser emitting point on the basis of the bottom surface and the top surface in the elevator, wherein the laser emitting point on the top surface can emit a beam of harmless laser to the laser receiving point on the bottom surface, the distance between the points in the same plane is a preset distance, calculating the connection area of the laser unreceived point by counting the laser unreceived point and the preset distance, and the connection area is the actual occupied area in the elevator obtained by the third time of area detection;

the beneficial effects of the above technical scheme are: as the safety technology of the whole detection system, each unit in the elevator is identified to the maximum extent by laser scanning identification, so that the leakage rate of detection and identification in the elevator is reduced; simultaneously, through laser scanning discernment, the coverage area is high, can cover inside whole elevator in theory to, guarantee laser identification's mode, can not cause injury or harm to inside people, animal, plant, other article of elevator, on this basis, as the laser scanning of whole detecting system insurance technique. The result accuracy is greatly improved.

As shown in fig. 4, in one embodiment, the congestion value is compared with a preset congestion threshold, where: when the congestion value does not reach the preset congestion threshold value, adopting an independent control subsystem; when the congestion value reaches the preset congestion threshold value, a main control system is adopted to carry out conventional control on the elevator;

the working principle of the technical scheme is as follows: comparing the congestion value with a preset congestion threshold value, wherein: when the congestion value does not reach the preset congestion threshold, adopting an independent control subsystem, establishing a model in the independent control subsystem, comparing the calculated congestion value with the preset congestion threshold, and shunting to system operation meeting the comparison condition;

the beneficial effects of the above technical scheme are: the preset threshold value is compared with the calculated congestion degree, when the threshold value is more practical, the congestion degree is more accurate to calculate, the comparison between the threshold value and the calculated congestion degree can reflect the practical use experience degree, meanwhile, different decisions are made according to the difference between the congestion degree and the preset congestion threshold value, and the judgment accuracy and the elevator operation efficiency are improved.

As shown in fig. 5, in one embodiment, the floors of the upper elevator and the floors of the lower elevator are counted, and a distribution model of the floors of the upper elevator and a distribution model of the floors of the lower elevator are established; wherein:

the distribution model of the upper elevator floors comprises floors waiting for ascending, the number of units waiting for ascending on each floor and the ascending stop sequence;

the descending elevator floor distribution model comprises floors waiting for descending, the number of units waiting for descending on each floor and the descending stopping sequence;

the working principle of the technical scheme is as follows: obtaining parameters, including: judging an optimal path according to the number of floors of waiting floors, the number of people waiting for elevators on each floor and the ascending stopping sequence of the current elevator, analyzing the number of stopping floors, the number of lower elevators, the number of later stopping floors and the number of people entering the elevator on the number of upper elevators, and establishing an upper elevator floor and lower elevator floor distribution model on the basis;

the beneficial effects of the above technical scheme are: the method has the advantages that the calculation of the stop precision of the elevator on which floor in the ascending process is improved, the difference value calculation of the number of people going down the elevator and the number of people going up the elevator in the ascending process is also improved, the complexity of the number model of people going down the elevator in the ascending process is reduced, the current model establishing efficiency is improved, the time is shortened, and the user experience is enabled to be good.

As shown in fig. 6, in one embodiment, the elevator is controlled with low energy consumption according to the individual control subsystem; wherein:

the independent control subsystem groups floors with uplink and downlink requests according to the uplink elevator floor distribution model and the downlink elevator floor distribution model; wherein:

when the elevator is an ascending elevator, firstly receiving the floor information of the descending elevator in the current elevator; secondly, receiving other floor uplink request information;

grouping according to the floor of the current elevator for going down the elevator and other floors for requesting going up the elevator; when the difference between the actual elevator-leaving number of people on the nearest elevator-leaving floor and the current number of people in the elevator is added with the number of people waiting for the upper elevator on the nearest floor and the congestion degree threshold value is not exceeded, grouping is completed, and a first stopping strategy is determined;

the working principle of the technical scheme is as follows: according to the received two instructions: the method comprises the steps that a passenger getting-off floor instruction and other floor passenger going-up instructions in an elevator are combined with the actual number of people in the elevator and the number of people waiting for going-up on other floors to generate a first stopping strategy, and the congestion value in the elevator is required to be always smaller than a preset congestion threshold value in the process of finishing getting-off of the passenger in the elevator and getting-on of passengers outside the elevator on other floors;

the beneficial effects of the above technical scheme are: the control system uses the independent control subsystem after judgment, so that the utilization rate of the control system is improved; for the grouping processing of a plurality of uplink and downlink requests, the judgment path is simplified, the time spent on the sequence of the uplink and the downlink is synthesized, the judgment logic is improved, the operation recheck is reduced, the stop times of an uplink elevator are reduced, passengers in the elevator can arrive at a target floor more quickly, the passengers can also descend, the waiting time is reduced, and the integral operation efficiency of the current elevator is improved; the crowding condition caused by the structural difference of the number of people getting on and off the elevator is reduced, and the crowding value is kept within the crowding threshold value.

In one embodiment, movement detection of the elevator car is performed after the brake is completed;

if the lift car moves, controlling the star sealing contactor to carry out star sealing braking on a traction machine of the elevator; wherein the content of the first and second substances,

the movement detection includes:

according to the moving distance of the car, comparing the moving distance of the car with the preset safety distance, and determining a first detection result;

according to first pulse data recorded by a detection rotary encoder, the first pulse data is pulse signal data sent by a traction machine and collected by the rotary encoder at the moment when a brake is finished; detecting second pulse data recorded by a rotary encoder, wherein the second pulse data is pulse signal data sent by a traction machine at the current moment after the brake of the rotary encoder is finished; judging whether the car moves according to the difference value of the second pulse data and the first pulse data, and determining a second detection result;

and when the first detection result and the second detection result both indicate that the moving distance of the car is greater than the safe distance, judging that the car moves.

The working principle of the technical scheme is as follows: when the floor receives an ascending command and the camera system of the current floor detects the number of waiting people, the camera system of the current floor can detect the moving distance of the elevator car to judge whether the car is moving or not, the moving has a threshold value, when the moving is larger than the threshold value, the car is possibly in an overweight state, and when the moving does not exceed the threshold value, the car is not overweight. The elevator cannot be started in an overweight state;

the beneficial effects of the above technical scheme are: the overweight detection is carried out in the congestion degree detection process, so that the safety of the elevator is improved, the centering detection mode of the invention is not direct detection but detection through a rotary encoder and the moving distance of the elevator car, new equipment is not needed to be added in the centering detection modes, only relevant programs are needed to be arranged in the elevator for calculation, and the method is more convenient compared with the method for arranging a weighing device.

In one embodiment, the elevator is controlled with low energy consumption according to the individual control subsystem; wherein: the independent control subsystem groups floors with uplink and downlink requests according to the uplink elevator floor distribution model and the downlink elevator floor distribution model; wherein: when the elevator is an ascending elevator, firstly receiving the floor information of the descending elevator in the current elevator; secondly, receiving other floor uplink request information; grouping according to the floor of the current elevator for going down the elevator and other floors for requesting going up the elevator; and when the difference between the actual elevator descending number of the nearest elevator descending floor and the current elevator internal number is added with the waiting number of the ascending elevators which are requested to ascend and are nearest to the current nearest floor does not exceed the congestion degree threshold, finishing grouping and determining a first stopping strategy. Detecting the number of people getting off the elevator when the ascending elevator reaches the floor requested by getting off the elevator through a monitoring system in the elevator; when the number of people getting off the elevator is less than that of people getting on the elevator, the stopping instruction of the floor getting on the elevator in the first stopping strategy is deleted; stopping the next group until all the elevator-getting-off instructions in the elevator are finished;

the working principle of the technical scheme is as follows: the current actual number of people in the elevator is obtained by detecting the number of people getting off the elevator, and the stopping judgment is carried out to generate a new stopping strategy;

the beneficial effects of the above technical scheme are: the timeliness of the parking strategy is improved.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.