CN112883780B - Real-time monitoring method for urban garbage amount - Google Patents
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Abstract
The invention discloses a real-time monitoring method of urban garbage amount, which comprises the steps of firstly, utilizing a camera arranged on a garbage can to obtain a real-time image of garbage in the garbage can; secondly, analyzing and processing the image by using an image identification correlation algorithm, then calculating the garbage amount in the garbage can, and feeding back the calculated data to the garbage can or a scheduling center for decision making after obtaining the real-time garbage amount of the city at the moment. The invention utilizes the mature image processing technology at present, can obtain the urban real-time garbage amount data by processing the image information acquired by the terminal, provides convenience for urban real-time garbage amount statistics and garbage transfer work, and greatly improves the municipal work efficiency.
Description
Technical Field
The invention relates to the field of intelligent municipal administration, in particular to a method for identifying and calculating the garbage amount in a municipal garbage can in real time by using a related algorithm of image identification.
Background
With the rapid development of economy, the total amount of urban domestic garbage also tends to increase year by year, and people consume a large amount of resources, produce the urban domestic garbage in a large scale, consume a large amount of the urban domestic garbage and generate more wastes, so that the sustainable development of the resources in the current society is more and more emphasized. The garbage disposal is the responsibility of society, how to carry out the garbage transfer work efficiently is an important problem which is faced at present, and the effective monitoring of the urban real-time garbage amount is the premise of realizing the efficient garbage transfer, so an effective urban real-time garbage amount calculation method needs to be provided.
The real-time statistics of the garbage amount is large in workload and difficult to count. The existing statistical method about the garbage amount in municipal engineering mostly focuses on loading a metering device on a garbage transfer vehicle, the method has poor timeliness, and the information of the real-time garbage amount of a city cannot be obtained.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a real-time monitoring method for the quantity of urban garbage, which solves the problems of large workload and difficult statistics of real-time statistics of the quantity of garbage in the prior art.
The technical scheme of the invention is as follows:
a real-time monitoring method of urban garbage amount comprises the steps of firstly, utilizing a camera arranged on a garbage can to obtain a real-time image of garbage in the garbage can; secondly, analyzing and processing the image by using an image identification correlation algorithm, then calculating the garbage amount in the garbage can, and feeding back the calculated data to the garbage can or a scheduling center for decision making after obtaining the real-time garbage amount of the city at the moment.
The garbage can comprises a can body, a garbage can, a solar cell panel, a power supply, a protective shell, a classification label, a display screen, a controller, a camera, a flash lamp and a communication module, wherein the garbage can, the solar cell panel, the power supply, the protective shell, the solar cell panel and the communication module are positioned in the can body; the power supply is a rechargeable battery, is arranged in the protective shell and supplies power to the display screen, the controller, the camera and the communication module; the classification label is attached to the surface of the protective shell; the display screen is arranged right in front of the garbage can and can display communication information or advertisements; the controller is arranged on the left side below the protective shell; the camera is a miniature camera, is arranged at the center position below the protective shell and is connected with the communication module; the flash lamp is a photographing light supplement device and works with the camera simultaneously; the camera wirelessly transmits the acquired image to the server through the communication module, and the communication module is arranged on the right side below the protective shell; the display screen, the camera and the communication module are all connected with the controller; after the server in the system processes the image information transmitted by the terminal, the processing result can be fed back to the terminal or the scheduling center.
The communication module is a remote data transmission module based on GPRS.
The image analysis processing process comprises the following steps:
(1) carrying out histogram equalization processing on the color image; even if a flash lamp light supplementing mode is adopted, because the garbage can is deep and a black plastic bag is usually sleeved on the garbage can, a shot picture is dark, and the contrast of the picture needs to be enhanced to facilitate edge identification;
(2) denoising the Gaussian filtered image; convolution scanning each pixel in the image by using a Gaussian smoothing filter, replacing the value of a template central pixel point by using the weighted average gray value of the pixel in a certain pixel neighborhood, wherein the form of a two-dimensional Gaussian function is as formula 1, and a Gaussian kernel is as formula 2;
(3) calculating gradient amplitude and direction; the transverse and longitudinal gradient approximations for each pixel of the image are calculated using equation (3), where G x 、G y Is a Sobel operator; the gradient direction is calculated by formula (4);
(4) non-maxima suppression; finding the maximum point on the direction angle by using the gradient amplitude obtained in the step (3), and then restraining other non-edge points in the gradient amplitude matrix to be 0;
(5) two thresholds are set: high and low thresholds, detect and connect edges.
The specific calculation process comprises the following steps:
(1) respectively performing forward and backward traversal on all pixels at the midpoint of the image height direction, and respectively recording the abscissa of a pixel point with the first pixel value of 255 as lp and rp;
(2) respectively performing forward and backward traversal on all pixels at the midpoint of the image width direction, and respectively recording the vertical coordinates of a pixel point with the first pixel value of 255 as up and dp;
(3) recording the width and the height of the image as w and h respectively, and the volume of the garbage can as V, calculating the garbage amount V by using the formula (5);
the invention has the beneficial effects that:
(1) according to the invention, by utilizing the existing mature image processing technology and processing the image information acquired by the terminal, the urban real-time garbage amount data can be obtained, so that convenience is provided for urban real-time garbage amount statistics and garbage transfer work, and the municipal work efficiency is greatly improved;
(2) the display screen on the garbage can be used for displaying advertisements, and the income can be effectively increased.
Drawings
FIG. 1 is a schematic view of a trash can configuration;
FIG. 2 is a front view of the trash can;
FIG. 3 is a side elevational view of the trash can;
FIG. 4 is a schematic diagram of the system operation;
reference numerals: the system comprises a solar cell panel, a wiring terminal 2, a power supply 3, a controller 4, a camera 5, a flashlight 6, a communication module 7, a display screen 8, a classification label 9, a protective shell 10, a door handle 11, a support 12, a mounting frame 13 and a server 14.
Detailed Description
The technical solution of the present invention will be further described in detail with reference to the accompanying drawings and specific embodiments.
The garbage can of the system terminal comprises a can body, a garbage can, a solar cell panel 1, a power supply 3, a protective shell 10, a classification label 9, a display screen 8, a controller 4, a camera 5, a flash lamp 6 and a communication module 7, wherein the garbage can is positioned in the can body; the power supply is a rechargeable battery, is arranged in the protective shell 10 and supplies power to the display screen 8, the controller 4, the camera 5 and the communication module 7; the classification label 9 is attached to the surface of the protective shell 10; the display screen 8 is arranged right in front of the garbage can and can display communication information or advertisements; the controller 4 is arranged on the left side below the protective shell 10; the camera 5 is a miniature camera, is arranged at the center position below the protective shell 10 and is connected with the communication module 7; the flash lamp 6 is a photographing light supplement device and works with the camera simultaneously; the communication module 7 is a remote data transmission module based on GPRS and can transmit information with the server 14, and the communication module 7 is arranged on the right side below the protective shell; the display screen 8, the camera 5 and the communication module 6 are all connected with the controller 4. After the server 14 in the system processes the image information transmitted from the terminal, the processing result can be fed back to the terminal or the scheduling center.
For the system terminal trash can, the classification label 9 attached thereon can be replaced by the user, and the label content includes but is not limited to "recyclable waste", "harmful waste" and "kitchen waste".
The shooting range of the camera 5 can be just shot to the top edge of the garbage can in the can body;
when the system works, the garbage can arranged outdoors can receive illumination, the solar panel 1 receives the illumination to charge the power supply 3, and the power supply 3 supplies power to the display screen 8, the controller 4, the camera 5, the flash lamp 6 and the communication module 7;
the program in the controller 4 for controlling the flash lamp 6 to operate may be set to be consistent with the photographing frequency, such as once every 15 minutes;
the program in the controller 4 for controlling the camera 5 to take a picture can set the picture-taking frequency, for example, take a picture every 15 minutes;
the camera 5 wirelessly transmits the acquired image to the server 14 through the communication module 7;
in this example, the communication module 7 adopts a GPRS communication module;
the server 14 processes the image information and calculates:
the specific treatment process comprises the following steps:
1. and performing histogram equalization processing on the color image. Even if a flash lamp light supplementing mode is adopted, because the depth of the garbage can is deep and the garbage can is often sleeved with a black plastic bag, a shot picture is dark, the contrast of the picture needs to be enhanced to be beneficial to edge identification, and the function is realized by an equalizehost function in an OpenCV (open computer vision library) in the embodiment;
2. and denoising the Gaussian filtered image. Convolution scanning each pixel in the image by a Gaussian smoothing filter, replacing the value of a template central pixel point by the weighted average gray value of the pixel in a certain pixel neighborhood, wherein the form of a two-dimensional Gaussian function is as shown in a formula 1, and a Gaussian kernel is as shown in a formula 2;
3. the gradient magnitude and direction are calculated. The transverse and longitudinal gradient approximations for each pixel of the image are calculated using equation (3), where G x 、G y Is a Sobel operator; the gradient direction is calculated by formula (4);
4. non-maxima suppression. Finding the maximum point on the direction angle by using the gradient amplitude obtained in step 3, and then restraining other non-edge points in the gradient amplitude matrix to be 0;
5. two thresholds (high and low) are set to detect and connect edges. In this example the low threshold is set to 50 and the high threshold is set to 300.
The specific calculation process is as follows:
1. respectively performing forward and backward traversal on all pixels at the midpoint of the image height direction, and respectively recording the abscissa of a pixel point with the first pixel value of 255 as lp and rp;
2. respectively performing forward and backward traversal on all pixels at the midpoint of the image width direction, and respectively recording the vertical coordinates of a pixel point with the first pixel value of 255 as up and dp;
3. and (5) calculating the garbage amount V by taking the width and the height of the image as w and h respectively and the volume of the garbage can as V.
The server feeds the garbage amount information back to a terminal garbage can or a scheduling center;
the communication module on the garbage bin receives the information and then transmits the signal to the controller, and the controller controls the display screen to display the garbage amount in the garbage bin.
The present invention is not limited to the techniques described in the examples, which description is intended to be illustrative and not restrictive. The rights of the invention are defined by the claims, and the technical skill of the person skilled in the art based on the invention can change, recombine and the like and obtain the related technology of the invention, and the invention is within the protection scope of the invention.
Claims (3)
1. A real-time monitoring method for the quantity of urban garbage is characterized in that a camera arranged on a garbage can is used for acquiring a real-time image of garbage in the garbage can; secondly, analyzing and processing the image by using an image identification related algorithm, then calculating the garbage amount in the garbage can, and feeding back the calculated data to the garbage can or a scheduling center for decision-making after obtaining the real-time garbage amount of the city at the moment;
the image analysis processing process comprises the following steps:
(1) performing histogram equalization processing on the color image; even if a flash lamp light supplementing mode is adopted, because the depth of the garbage can is deep and the garbage can is often sleeved with a black plastic bag, a shot picture is dark, and the contrast of the picture needs to be enhanced to facilitate edge identification;
(2) denoising the Gaussian filtered image; convolution scanning each pixel in the image by a Gaussian smoothing filter, replacing the value of a template central pixel point by the weighted average gray value of the pixel in a certain pixel neighborhood, wherein the form of a two-dimensional Gaussian function is as shown in a formula 1, and a Gaussian kernel is as shown in a formula 2;
(3) calculating gradient amplitude and direction; the transverse and longitudinal gradient approximations for each pixel of the image are calculated using equation (3), where G x 、G y Is a Sobel operator; the gradient direction is calculated by formula (4);
(4) non-maxima suppression; finding the maximum point on the direction angle by using the gradient amplitude obtained in the step (3), and then restraining other non-edge points in the gradient amplitude matrix to be 0;
(5) two thresholds are set: high threshold 300 and low threshold 50, detect and connect edges;
the specific calculation process comprises the following steps:
(1) respectively performing forward and backward traversal on all pixels at the midpoint of the image height direction, and respectively recording the abscissa of a pixel point with the first pixel value of 255 as lp and rp;
(2) respectively performing forward and backward traversal on all pixels at the midpoint of the image width direction, and respectively recording the vertical coordinates of a pixel point with the first pixel value of 255 as up and dp;
(3) recording the width and the height of the image as w and h respectively, and the volume of the garbage can as V, calculating the garbage amount V by using the formula (5);
2. the method for monitoring the urban garbage amount in real time according to claim 1, wherein the garbage can comprises a can body, a garbage can, a solar cell panel (1), a power supply (3), a protective shell (10), a classification label (9), a display screen (8), a controller (4), a camera (5), a flash lamp (6) and a communication module (7), wherein the garbage can, the solar cell panel (1) is arranged above the protective shell (10), and is connected with the power supply (3) through a binding post and supplies power to the power supply; the power supply (3) is a rechargeable battery, is arranged in the protective shell (10) and supplies power to the display screen (8), the controller (4), the camera (5) and the communication module (7); the classification label (9) is attached to the surface of the protective shell (10); the display screen (8) is arranged right in front of the garbage can and can display communication information or advertisements; the controller (4) is arranged on the left side below the protective shell (10); the camera (5) is a miniature camera, is arranged at the center position below the protective shell (10), and is connected with the communication module (7); the flash lamp (6) is a photographing light supplement device and works with the camera simultaneously; the camera (5) wirelessly transmits the acquired image to the server (14) through the communication module (7), and the communication module (7) is arranged on the right side below the protective shell; the display screen (8), the camera (5) and the communication module (6) are connected with the controller (4); after the server (14) in the system processes the image information transmitted from the terminal, the processing result can be fed back to the terminal or the scheduling center.
3. The real-time urban garbage collection monitoring method according to claim 2, wherein the communication module (7) is a GPRS-based remote data transmission module.
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| CN205972555U (en) * | 2016-03-29 | 2017-02-22 | 北京理工大学 | Multifunctional wastebasket convenient to realize information system management |
| CN106447140A (en) * | 2016-12-16 | 2017-02-22 | 深圳万智联合科技有限公司 | Garbage disposal system |
| CN107054936A (en) * | 2017-03-23 | 2017-08-18 | 广东数相智能科技有限公司 | A kind of refuse classification prompting dustbin and system based on image recognition |
| CN107054942A (en) * | 2017-04-27 | 2017-08-18 | 北京伽亚泰科技有限公司 | It is a kind of that there is the garbage container and its method for filling warning function |
| CN107622415A (en) * | 2017-08-29 | 2018-01-23 | 张召强 | Remote control and advertisement delivery system and method based on classification garbage can |
| CN208384599U (en) * | 2018-05-02 | 2019-01-15 | 合加新能源汽车有限公司 | A kind of sanitation cart intelligent RFID identifying system |
| CN208843027U (en) * | 2018-08-07 | 2019-05-10 | 长江师范学院 | A kind of Processing automatically by sort dustbin based on the autonomous image recognition of computer |
| CN109345096A (en) * | 2018-09-18 | 2019-02-15 | 浙江同美环境科技集团有限公司 | Domestic waste clears scheduling system |
| CN109324552B (en) * | 2018-10-12 | 2021-09-14 | 上海顺舟智能科技股份有限公司 | Smart city garbage management system |
| CN109606981A (en) * | 2018-11-09 | 2019-04-12 | 南京民维智能科技有限公司 | A kind of intelligent garbage bin and its control method |
| CN109753890B (en) * | 2018-12-18 | 2022-09-23 | 吉林大学 | Intelligent recognition and sensing method for road surface garbage and implementation device thereof |
| CN109740581A (en) * | 2019-03-01 | 2019-05-10 | 成都信息工程大学 | A kind of intelligent garbage, which is collected, monitors system with scene |
| CN110282287A (en) * | 2019-07-12 | 2019-09-27 | 陕西科技大学 | Garbage classification device and its method based on artificial intelligence |
| CN110406839A (en) * | 2019-08-30 | 2019-11-05 | 湘潭大学 | Method, apparatus, intelligent garbage bin and the storage medium of Waste sorting recycle |
| CN111105052A (en) * | 2019-12-30 | 2020-05-05 | 湖北一末环保实业有限公司 | Urban and rural garbage bin intelligent management system with route planning function |
| CN111476085A (en) * | 2020-02-29 | 2020-07-31 | 国网江苏省电力有限公司苏州供电分公司 | Garbage classification putting system and method based on image recognition and point reward |
| CN111611948A (en) * | 2020-05-25 | 2020-09-01 | 陈金山 | Urban garbage can overflow detection method based on CIM and block chain |
| CN111767804A (en) * | 2020-06-08 | 2020-10-13 | 上海交通大学 | Recyclable garbage image classification method and system based on artificial intelligence |
| CN111784171A (en) * | 2020-07-06 | 2020-10-16 | 郑州迈拓信息技术有限公司 | Municipal CIM environmental sanitation work distribution method based on artificial intelligence and image processing |
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