CN101708797A - System and method for recognizing density condition of people and/or object carried in lift car - Google Patents
System and method for recognizing density condition of people and/or object carried in lift car Download PDFInfo
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- CN101708797A CN101708797A CN200910156916A CN200910156916A CN101708797A CN 101708797 A CN101708797 A CN 101708797A CN 200910156916 A CN200910156916 A CN 200910156916A CN 200910156916 A CN200910156916 A CN 200910156916A CN 101708797 A CN101708797 A CN 101708797A
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Abstract
The invention relates to a system and a method for recognizing density condition of people and/or object carried in a lift car. The system comprises a video acquisition module, a video processing module and a signal transmission module, wherein the video acquisition module comprises a camera which is arranged at the center of the top surface inside the lift car, the camera acquires a reference image when no people or object exists in the lift car and real-time images under other states and transmits the images of all stages to the video processing module; the video processing module caches the images, subtracts the images transmitted in real time under other states with the reference image, and judges whether the lift car is in full load or not according to whether the percentage of the color lump of the subtracted images in the area of the lift car is more than the set value; and the signal transmission module outputs a full load signal to a lift main control cabinet. The system and the method for recognizing density condition of people and/or object carried in the lift car can more accurately judge the density condition of people or objects accommodated in the lift car, reduce the probability of erroneous judgment and improve the lift operation efficiency.
Description
Technical field
The invention belongs to the elevator control technology field, particularly a kind ofly can discern people contained in the lift car, the system and method for thing density situation.
Background technology
Elevator is a kind of jacking equipment that is used to deliver people or thing and perpendicular movement, generally is installed on high level or tier building.As everyone knows, the elevator that is installed on commercial mansion or office building often is in the running state of high load capacity, especially using peak load conditions, when certain layer of passenger supresses the elevator calling button, elevator arrives at a station to stop and opens the door, if this moment, lift car was interior overstaffed, then the passenger of marquis's ladder does not just advance lift car outside this layer Room, and, also be wasted the time for the people of using escalator in the lift car.Therefore, improving the elevator operating efficiency will be the effective means of alleviating peak load conditions using escalator contradiction.
At present, the solution to the problems referred to above in the elevator industry is: LOAD CELLS is installed in the bottom at lift car, when the load carrying ability overrate of elevator, just judges that elevator is fully loaded.Elevator only responds the stop request in the elevator under the fully loaded situation, and whole conductively-closeds are asked in the outer stop of elevator.This mode can improve the operating efficiency of elevator, particularly in peak period.But this solution also exists defective.Because fully loaded (in safety load) the real criterion of elevator should be the people in the lift car and/or the density rather than the weight of thing, such as, a big carton (quality density is very low) is arranged in the elevator, judge that according to the mode of weighing elevator is a underload, but in fact but can not hold more people or thing in the lift car; And for example, move into lift car article very heavy (being that quality density is big), judge that according to the mode of weighing elevator is fully loaded, but in fact also have a lot of spaces in the lift car, can hold more people or thing.Above situation occurs, whether fully loaded all can the appearance judges by accident if the simple employing mode of weighing is judged lift car.
Summary of the invention
The present invention is based on the mode of weighing and judge whether lift car is fully loaded with the defective that exists, with the density that holds people and/or thing in the lift car is that judgment standard judges that lift car is whether fully loaded, has proposed the recognition system and the method for the manned and/or thing density situation of a kind of lift car.
The present invention solves the technical scheme that its technical matters takes: the recognition system of the manned and/or thing density situation of lift car, and it comprises:
Video acquisition module: comprise camera, vision cable, camera is installed on lift car inside top surface center, reference picture during the inner unmanned or thing of camera collection lift car and the realtime graphic under other state, and the image of each state is transferred to video processing module by vision cable;
Video processing module: the image that the video acquisition module transmission is come carries out buffer memory, and the image that real-time Transmission under other state is come is subtracted shadow with reference picture handle, whether the percentum that accounts for the lift car area according to the color lump area that subtracts movie queen's image judges greater than setting value whether lift car is fully loaded with;
Signal transmission module: full signal is exported to main elevator control cabinet.
The recognition system of the manned and/or thing density situation of described lift car, video processing module comprises memory cell, digital signal processing unit, the image that the transmission of cell stores video acquisition module comes, image and reference picture that digital signal processing unit comes real-time Transmission subtract shadow.
The recognition system of the manned and/or thing density situation of described lift car, the signal output of signal transmission module adopt CAN bus, transistor level output or relay contact output.
The recognition system of the manned and/or thing density situation of described lift car, camera is aimed at car of lift car internal range collection and is in image under unmanned and/or the thing state as with reference to figure to overlook the visual angle; Camera is gathered the N two field picture to overlook visual angle aligning lift car internal range; Video processing module receives reference picture and N two field picture, and N two field picture and reference picture are subtracted the shadow processing, obtains the color lump area of subtraction image; Video processing module is obtained a quotient with the color lump area of subtraction image divided by the lift car floor space, whether judges this merchant greater than 60%～90%, if represent that then lift car is fully loaded; If not, then represent the lift car underload.
The invention also discloses the recognition methods of the manned and/or thing density situation of a kind of lift car, may further comprise the steps:
A utilizes camera to aim at car of lift car internal range collection and be in image under unmanned and/or the thing state as with reference to figure to overlook the visual angle, and is transferred to video processing module;
B, camera is gathered the N two field picture to overlook visual angle aligning lift car internal range, and is transferred to video processing module;
C adopts video processing module that N two field picture and reference picture are subtracted the shadow processing, obtains the color lump area of subtraction image;
D, video processing module is obtained a quotient with the color lump area of subtraction image divided by the lift car floor space, whether judges this merchant greater than setting value, if, represent that then lift car is fully loaded, send full signal by signal transmission module to main elevator control cabinet; If not, then represent the lift car underload.
E deletes the N-i two field picture, and video acquisition module is taken real-time N+1 two field picture, and transfers to video processing module; Video processing module receives the N+1 two field picture, repeats above-mentioned steps c treating process.
The recognition methods of the manned and/or thing density situation of described lift car, setting value is 60%～90%.
The recognition methods of the manned and/or thing density situation of described lift car, camera is with the image in the speed acquisition lift car of per second 25 frames.
Lift car of the present invention recognition system manned and/or thing density situation is installed a camera directly over lift car inside, camera is aimed at image that the whole internal range of lift car takes an empty car earlier as with reference to figure to overlook the visual angle, and then take in real time and give video processing module with transmission of video images, video processing module is doing video image and reference picture and subtract the shadow processing frame by frame in real time.If someone or thing enter lift car, people or thing will be subtracted shadow and come out so, video processing module subtracts percentum that color lump area that shadow comes out accounts for the car area by calculating to be compared with setting value and just can draw whether fully loaded conclusion of elevator, and signal is sent to main elevator control cabinet.
Lift car of the present invention recognition system and method manned and/or thing density situation are compared with the existing decision procedure of weighing that generally adopts, greater advantage is arranged, it can judge the density situation of holding people or thing in the lift car more accurately, whether fully loaded to judge, thereby reduce the probability of erroneous judgement, improve the efficient of elevator operation.
Description of drawings
Fig. 1 is the camera scheme of installation of the recognition system of the manned and/or thing density situation of lift car of the present invention.
Fig. 2 is the block diagram of the recognition system of the manned and/or thing density situation of lift car of the present invention and main elevator control cabinet, elevator traction machine.
Lift car constitution diagram when Fig. 3 is no passenger or goods.
Fig. 4 is lift car constitution diagram when passenger or goods are arranged.
Fig. 5 is the constitution diagram that subtracts movie queen's lift car.
Fig. 6 is the video processing module workflow diagram.
The specific embodiment
Below in conjunction with accompanying drawing the present invention is elaborated.
As shown in Figure 1, the 1st, lift car, the 2nd, elevator cage door are inside door, the 3rd, and hoistway door is an external door, the 4th, infrared ray curtain transmitting terminal, the 5th, and infrared ray curtain receiving end, 6 bodies of wall, the 7th, outer calling panel, the 8th, camera, frame of broken lines is the video acquisition scope among the figure.
As shown in the figure, the elevator mounting structure is same as the prior art, and difference is: camera 8 is installed in the end face center of lift car 1, and lift car 1 in-to-in zone is the video acquisition scope of camera 8.
Referring to Fig. 2, lift car of the present invention recognition system manned and/or thing density situation comprises:
Video acquisition module: comprise camera 8, vision cable, camera 8 is taken the reference picture of overlooking under the inner unmanned or thing state of lift cars, and image is transferred to video processing module by vision cable; Camera is taken the realtime graphic under other state in the lift car with the speed of per second 25 frames again, and image is real-time transmitted to video processing module by vision cable.
Video processing module: comprise digital signal processing unit, memory cell, video analysis software, it carries out buffer memory (by cell stores) with the image that the video acquisition module transmission comes, and other status image that real-time Transmission is come subtracted shadow processing (carrying out computing by digital signal processing unit) with reference picture, and whether judge greater than setting value whether lift car is fully loaded according to the percentum that the color lump area that subtracts movie queen's image accounts for the lift car area, if, represent that then lift car is fully loaded, send full signal to main elevator control cabinet by signal transmission module; If not, then represent the lift car underload.
Signal transmission module: can select wherein a kind of in the output of CAN bus, transistor level, three kinds of way of outputs of relay contact output for use, it exports to main elevator control cabinet with full signal.
Main elevator control cabinet is transferred to elevator traction machine with control signal, with the control elevator lifting.When main elevator control cabinet receives full signal, only respond and stop the layer operation request in the lift car, and the layer that stops of hall buttons is asked a conductively-closed the elevator hall outside.
Identification process manned below in conjunction with Fig. 3-6 pair lift car and/or thing density situation is described in detail:
1, camera 8 is taken an image and is transferred to video processing module as the reference image parameter when elevator is unloaded.Referring to Fig. 3, this figure is that video processing module is stored in the internal memory as the reference diagram that subtracts shadow, in the lift car when no passenger or goods captured image can be used as reference diagram, decorative pattern or shredded paper that the little triangle in the diagram, dice are represented the floor.
When passenger or goods were arranged in the lift car, camera 8 was taken the image under this state in real time, and image parameter is transferred to video processing module.Fig. 4 schemes in real time, and image and the base map that take this moment have tangible difference, and the dark circles among the figure is represented passenger and/or goods.
2, Fig. 5 is for subtracting shadow figure, after Fig. 3 and Fig. 4 subtract shadow (identical part is subtracted each other counteracting), only be left the image of passenger or goods, video processing module can account for the percentum of car area according to color lump (dark circles among the figure) area of the image that subtracts the movie queen and judge whether car is fully loaded.Referring to Fig. 6, concrete treating process is as described below:
Input reference diagram and N (N is a variable and is positive integer) two field picture is to video processing module, video processing module is their memory allocated spaces, N two field picture and reference diagram are subtracted each other shadow, obtain subtraction image color lump area, the lift car floor space that this subtraction image color lump area is taken divided by camera obtains a quotient, judge that whether this merchant is greater than setting value, as 80% (this value can be set according to the actual requirements), if, then represent in the lift car fully loadedly, send full signal to elevator control cabinet by signal transmission module; If not, then represent the lift car underload.
Delete N-i (1＜i＜N, i are a constant and are positive integer) two field picture subsequently and then the N value is added 1 (promptly importing the N+1 two field picture), repeat said process to discharge storage space.
Annotate: conversion is stored in the computer system with bitmap format because any image is through AD, its pixel all is with the numeric representation of colourity and brightness, therefore subtracting shadow subtracts each other cooresponding brightness of each pixel and chromatic value among the two frame figure in fact exactly, and the residual value after will subtracting each other is done Filtering Processing, identical place among such two frame figure will be kept to zero mutually because brightness is identical with colourity, and to subtract each other residual value just can not be zero in different places, finally just can separate the different place of two frame figure by subtracting shadow.
The invention also discloses the recognition methods (can with reference to figure 6) of the manned and/or thing density situation of a kind of lift car, it carries out as follows:
A utilizes camera to aim at car of lift car internal range collection and be in image under unmanned and/or the thing state as with reference to figure to overlook the visual angle, and is transferred to video processing module;
B, camera be again overlooking that the lift car internal range is aimed at the visual angle and with the speed acquisition N two field picture of per second 25 frames, and be transferred to video processing module;
C, adopting video processing module that N (N is a variable and is positive integer) two field picture and reference picture are subtracted shadow (promptly subtracts each other cooresponding brightness of each pixel and chromatic value in two two field pictures, and the residual value after will subtracting each other is done Filtering Processing) handle, obtain the color lump area of subtraction image;
D, video processing module is obtained a quotient with the subtraction image color lump area of obtaining divided by the lift car floor space, judge this merchant whether greater than setting value (as 60%～90%, this value can be set according to the actual requirements), if, represent that then lift car is fully loaded, send full signal to main elevator control cabinet by signal transmission module; If not, then represent the lift car underload.
After e, video processing module judge whether lift car is fully loaded with, delete N-i (1＜i＜N, i are a constant and are positive integer) two field picture to discharge storage space; Camera is aimed at the speed acquisition N+1 two field picture (promptly import N+1 two field picture) of lift car internal range with per second 25 frames, the treating process that repeating step c begins to overlook the visual angle.
Above-mentioned recognition system and method manned to lift car of the present invention and/or thing density situation have all been done detailed explanation.Certainly, in most situations, single lift car of the present invention manned and/or the recognition system of thing density situation or loading condition that method can accurately be judged lift car of adopting.At some in particular cases, less as object to be carried in the lift car and/or people's distribution density, but weight exceeds the limit for tonnage weight of elevator, at this moment, work by the original weighting apparatus of elevator, only respond the stop request in the lift car, and whole conductively-closeds are asked in the outer stop of lift car.The weighting apparatus that is elevator itself just works only when loading and/or people's total weight exceeds limit for tonnage weight, under other state, and all manned and/or the recognition system of thing density situation or the calling that method responds elevator by lift car of the present invention.
Above preferred embodiment is an explanation of the present invention, and the present invention is not limited to the foregoing description, and those of ordinary skill in the art will be appreciated that, any modification of the present invention is all fallen into protection scope of the present invention.
Claims (7)
1. the recognition system of the manned and/or thing density situation of lift car is characterized in that comprising:
Video acquisition module: comprise camera, vision cable, camera is installed on lift car inside top surface center, reference picture during the inner unmanned or thing of camera collection lift car and the realtime graphic under other state, and the image of each state is transferred to video processing module by vision cable;
Video processing module: the image that the video acquisition module transmission is come carries out buffer memory, and the image that real-time Transmission under other state is come is subtracted shadow with reference picture handle, whether the percentum that accounts for the lift car area according to the color lump area that subtracts movie queen's image judges greater than setting value whether lift car is fully loaded with;
Signal transmission module: full signal is exported to main elevator control cabinet.
2. the recognition system of the manned and/or thing density situation of lift car as claimed in claim 1, it is characterized in that: described video processing module comprises memory cell, digital signal processing unit, the image that the transmission of cell stores video acquisition module comes, image and reference picture that digital signal processing unit comes real-time Transmission subtract shadow.
3. the recognition system of the manned and/or thing density situation of lift car as claimed in claim 1 is characterized in that: the signal output of described signal transmission module adopts CAN bus, transistor level output or relay contact output.
4. the recognition system of the manned and/or thing density situation of lift car as claimed in claim 1 or 2 is characterized in that: camera is aimed at car of lift car internal range collection and is in image under unmanned and/or the thing state as with reference to figure to overlook the visual angle; Camera is gathered the N two field picture to overlook visual angle aligning lift car internal range; Video processing module receives reference picture and N two field picture, and N two field picture and reference picture are subtracted the shadow processing, obtains the color lump area of subtraction image; Video processing module is obtained a quotient with the color lump area of subtraction image divided by the lift car floor space, whether judges this merchant greater than 60%～90%, if represent that then lift car is fully loaded; If not, then represent the lift car underload.
5. the recognition methods of the manned and/or thing density situation of lift car is characterized in that may further comprise the steps:
A utilizes camera to aim at car of lift car internal range collection and be in image under unmanned and/or the thing state as with reference to figure to overlook the visual angle, and is transferred to video processing module;
B, camera is gathered the N two field picture to overlook visual angle aligning lift car internal range, and is transferred to video processing module;
C adopts video processing module that N two field picture and reference picture are subtracted the shadow processing, obtains the color lump area of subtraction image;
D, video processing module is obtained a quotient with the color lump area of subtraction image divided by the lift car floor space, whether judges this merchant greater than setting value, if, represent that then lift car is fully loaded, send full signal by signal transmission module to main elevator control cabinet; If not, then represent the lift car underload.
E deletes the N-i two field picture, and video acquisition module is taken real-time N+1 two field picture, and transfers to video processing module; Video processing module receives the N+1 two field picture, repeats above-mentioned steps c treating process.
6. the recognition methods of the manned and/or thing density situation of lift car as claimed in claim 4, it is characterized in that: described setting value is 60%～90%.
7. the recognition methods of the manned and/or thing density situation of lift car as claimed in claim 4, it is characterized in that: described camera is with the image in the speed acquisition lift car of per second 25 frames.
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| CN200910156916A CN101708797A (en) | 2009-12-24 | 2009-12-24 | System and method for recognizing density condition of people and/or object carried in lift car |
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| CN200910156916A CN101708797A (en) | 2009-12-24 | 2009-12-24 | System and method for recognizing density condition of people and/or object carried in lift car |
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| CN103253559A (en) * | 2012-02-20 | 2013-08-21 | 东芝电梯株式会社 | Operation control device of electric lift and operation control method for electric lift |
| CN103771207A (en) * | 2014-01-09 | 2014-05-07 | 深圳市汇川技术股份有限公司 | Elevator car passenger detection system and method |
| CN104724557A (en) * | 2015-02-15 | 2015-06-24 | 英华达（上海）科技有限公司 | Elevator load carrying judgment system and method thereof |
| CN105173945A (en) * | 2015-10-09 | 2015-12-23 | 日立电梯（中国）有限公司 | Elevator car manned space detection method |
| CN105335964A (en) * | 2015-09-24 | 2016-02-17 | 中山大学 | Method and apparatus for monitoring space utilization rate of vertical transportation lifting cage based on binocular cameras |
| CN106276435A (en) * | 2016-08-25 | 2017-01-04 | 桂林九马新动力科技有限公司 | A kind of elevator control method based on crowding, system and elevator |
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| CN110077939A (en) * | 2019-06-01 | 2019-08-02 | 汪学品 | The carriage and elevator control method of unnecessary stopping are avoided after a kind of elevator cars with full load |
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| CN102821272B (en) * | 2012-08-16 | 2015-03-04 | 安徽中科智能高技术有限责任公司 | Video monitoring system with elevator invalid request signal removing function |
| CN102821272A (en) * | 2012-08-16 | 2012-12-12 | 安徽中科智能高技术有限责任公司 | Video monitoring system with elevator invalid request signal removing function |
| CN103771207B (en) * | 2014-01-09 | 2016-04-20 | 深圳市汇川技术股份有限公司 | Lift car personnel checking system and method |
| CN103771207A (en) * | 2014-01-09 | 2014-05-07 | 深圳市汇川技术股份有限公司 | Elevator car passenger detection system and method |
| TWI572546B (en) * | 2015-02-15 | 2017-03-01 | 英華達股份有限公司 | A system for determining a carrying capacity of an elevator and method thereof |
| CN104724557A (en) * | 2015-02-15 | 2015-06-24 | 英华达（上海）科技有限公司 | Elevator load carrying judgment system and method thereof |
| CN105335964A (en) * | 2015-09-24 | 2016-02-17 | 中山大学 | Method and apparatus for monitoring space utilization rate of vertical transportation lifting cage based on binocular cameras |
| CN105173945A (en) * | 2015-10-09 | 2015-12-23 | 日立电梯（中国）有限公司 | Elevator car manned space detection method |
| CN106276435A (en) * | 2016-08-25 | 2017-01-04 | 桂林九马新动力科技有限公司 | A kind of elevator control method based on crowding, system and elevator |
| US11505434B2 (en) | 2018-08-16 | 2022-11-22 | Otis Elevator Company | Elevator power management system and method |
| CN110002291A (en) * | 2019-03-25 | 2019-07-12 | 上海富士电梯有限公司 | Elevator intelligent based on image recognition cuts vehicle control |
| CN110077939A (en) * | 2019-06-01 | 2019-08-02 | 汪学品 | The carriage and elevator control method of unnecessary stopping are avoided after a kind of elevator cars with full load |
| CN111274951A (en) * | 2020-01-19 | 2020-06-12 | 北京迈格威科技有限公司 | Method and device for monitoring state of material box and automatic feeding system |
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Open date: 20100519 |