A waste treatment method, apparatus, and equipment for waste storage facilities.

By using image recognition technology in waste storage facilities, the type and size of waste can be identified, and alarm information can be generated, thus solving the problem of waste bin size limitations and enabling timely waste disposal and environmental protection.

CN116216123BActive Publication Date: 2025-10-28GUANGZHOU ZHUOYUE ECOLOGICAL TECH GRP CO LTD
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Patent Information

Application Number
CN202310307536.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-03-27
Publication Date
2025-10-28
Estimated Expiration
2043-03-27

AI Technical Summary

Technical Problem

In the current waste sorting system, the size and capacity limitations of trash cans lead to waste scattering and inability to be processed in a timely manner, requiring dedicated personnel to monitor the waste, resulting in prolonged exposure of the waste and causing environmental pollution.

Method used

By installing cameras in waste storage facilities to identify the type and size of waste, generating alarm information, and notifying relevant staff to handle the situation, real-time monitoring can be avoided.

Benefits of technology

It enables timely waste disposal, prevents waste from being exposed for extended periods, protects the environment, and reduces the need for constant monitoring of waste bins.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application provides a waste disposal method, apparatus, and equipment for waste storage facilities. The method includes: acquiring a regional image of a target area captured by a camera; identifying the regional image of the target area to determine the actual size and type of at least one discarded piece of waste; generating a first alarm message and / or a second alarm message based on the actual size and type of the at least one discarded piece of waste; sending the first alarm message to a first mobile device so that a first type of worker can process the first type of waste based on the first alarm message; and sending the second alarm message to a second mobile device so that a second type of worker can process the second type of waste based on the second alarm message. This achieves the effect of both preventing waste from being exposed for extended periods and ensuring timely disposal of discarded waste, while also avoiding the need for real-time monitoring of waste bins.
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Description

Technical Field

[0001] This application relates to the field of waste sorting and treatment technology, and more specifically, to a waste treatment method, apparatus, and equipment for waste storage facilities. Background Technology

[0002] Currently, garbage sorting is mostly done outdoors using different garbage bins placed on the ground.

[0003] Garbage is easily scattered around the trash cans. Due to the size and capacity limitations of the trash cans, not only is it necessary to have someone on duty in front of the trash cans to manage it, but also when the garbage is too large to be put into the trash can or there is no trash can that matches the type of garbage, it can only be placed on the ground. In such cases, it is impossible to notify the staff in time to deal with it, resulting in the garbage being exposed for too long and causing environmental pollution. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a waste disposal method, apparatus, and equipment for waste storage facilities. This method can identify images of the negative area of ​​the waste storage facility and promptly notify the corresponding staff for disposal based on the type and size of the discarded waste. This solves the problems in the prior art where dedicated personnel are required to manage the waste bins. Furthermore, when waste is too large to be placed in the bins or there are no bins of the appropriate type, it can only be placed on the ground, making it impossible to promptly notify staff for disposal. This results in prolonged exposure of the waste, causing environmental pollution. The method achieves the effect of protecting the environment by preventing prolonged exposure of waste and promptly disposing of discarded waste, while also avoiding the need for real-time monitoring of the waste bins.

[0005] In a first aspect, embodiments of this application provide a waste disposal method for a waste storage facility. The waste storage facility includes multiple waste bins and multiple waste disposal openings. The multiple waste bins are disposed in an underground installation trench of the waste storage facility, with each waste disposal opening opposite to one waste bin. Each waste bin is used to store one type of waste. The method includes: acquiring a regional image of a target area captured by a camera, the target area including the waste storage facility and a pre-defined area near the waste storage facility; identifying the regional image of the target area to determine the actual size and type of at least one discarded waste; and determining the actual size and type of at least one discarded waste based on the at least one discarded waste. The system discards waste based on its actual size and type, generating a first alarm message and / or a second alarm message. The waste types include a first type of waste and a second type of waste. The first type of waste is waste that can be disposed of in a waste bin containing a specific type of waste through any waste disposal opening, while the second type of waste is waste that cannot be disposed of in a waste bin containing a specific type of waste through any waste disposal opening. The first alarm message is sent to a first mobile device so that a first-type worker can process the first type of waste based on the first alarm message. The second alarm message is sent to a second mobile device so that a second-type worker can process the second type of waste based on the second alarm message.

[0006] Optionally, the actual size of each discarded piece of trash is determined by: extracting a cut image corresponding to the discarded piece of trash from the region image; determining the rotation angle of the discarded piece of trash in the cut image and the occupied size of the discarded piece of trash in the cut image, wherein the rotation angle of the discarded piece of trash is used to indicate the rotation angle of the target trash relative to the front of the discarded piece of trash in the target image; and determining the actual size of the discarded piece of trash based on the rotation angle and the occupied size of the discarded piece of trash.

[0007] Optionally, the step of extracting the cut image corresponding to the discarded waste from the regional image includes: identifying the regional image, determining the reference coordinates of each discarded waste in the regional image and the image cut size of each discarded waste; and obtaining the cut image corresponding to each discarded waste based on the reference coordinates of each discarded waste in the regional image and the image cut size of each discarded waste.

[0008] Optionally, the reference coordinates of each discarded piece of trash can be determined by: performing grayscale processing on the cut image to obtain a first intermediate image; removing pixels in the first intermediate image that exceed a preset brightness value to obtain a second intermediate image; dividing the second intermediate image into multiple third intermediate images by a preset size; and inputting the multiple third intermediate images into a trained image processing model in order of position to obtain the reference coordinates of the discarded trash in the region image.

[0009] Optionally, the rotation angle of the discarded trash in the cut image is determined by the following method: binarizing the cut image and determining the trash-occupied image from the binarized cut image; performing edge detection on the trash-occupied image to obtain at least one binarized connected region; filtering the at least one binarized connected region according to a preset filtering rule to obtain a target binarized connected region; and determining the rotation angle of the discarded trash in the target image and the size of the discarded trash in the target image based on the trained convolutional neural network algorithm and the target binarized connected region.

[0010] Optionally, the method further includes: determining whether the actual size of the discarded waste is greater than a preset maximum value for discarded waste; if the actual size of the discarded waste is greater than the preset maximum value for discarded waste, then deleting the discarded waste; if the actual size of the discarded waste is less than or equal to the preset maximum value for discarded waste, then determining whether the actual size of the discarded waste is less than a preset minimum value for discarded waste; if the actual size of the discarded waste is less than the preset minimum value for discarded waste, then deleting the discarded waste.

[0011] Optionally, each garbage disposal opening is equipped with a garbage can lid, and each garbage can lid is equipped with an active infrared signal detector. The active infrared signal detector is used to detect whether a person disposing of garbage is approaching the garbage can. The method further includes: determining whether the distance of the person disposing of garbage detected by the active infrared signal detector is within a preset disposal limit distance, and determining whether the time for which the active infrared signal detector detects the person disposing of garbage is greater than a preset normal disposal time; if the distance of the person disposing of garbage detected by the active infrared signal detector is within the preset disposal limit distance, and the time for which the active infrared signal detector detects the person disposing of garbage is greater than the preset normal disposal time, then the garbage can lid is opened, and the garbage can lid is closed after a preset time; if the distance of the person disposing of garbage detected by the active infrared signal detector is not within the preset disposal limit distance, and the time for which the active infrared signal detector detects the person disposing of garbage is less than the preset normal disposal time, then the garbage can lid is not opened.

[0012] Optionally, each trash can is equipped with an ultrasonic detector, which is used to detect the amount of trash in the trash can. The method further includes: obtaining the number of times the trash can lid has been opened, and determining whether the number of times the trash can lid has been opened is greater than a preset standard threshold; if so, detecting the current amount of trash in the trash can using the ultrasonic detector; determining whether the current amount of trash is greater than the previous amount of trash, and determining whether the current amount of trash is greater than the previous two amounts of trash; if the current amount of trash is greater than both the previous and previous two amounts of trash, storing the current amount of trash, and determining whether the current amount of trash is greater than or equal to the rated amount of trash in the trash can; if so, sending the current amount of trash to an alarm device so that staff can process the trash in the trash can; if not, determining whether the time since the last time the amount of trash was sent to the alarm device is greater than a preset time threshold; if so, sending the current amount of trash to a third mobile device so that a third type of staff can process the trash in the trash can.

[0013] Secondly, embodiments of this application also provide a waste disposal device for a waste storage facility. The waste storage facility includes multiple waste bins and multiple waste disposal openings. The multiple waste bins are disposed in an underground installation trench of the waste storage facility. Each waste disposal opening is disposed opposite to one waste bin. Each waste bin is used to store one type of waste. The device includes:

[0014] The area image acquisition module is used to acquire area images of a target area captured by the camera, wherein the target area includes the waste storage facility and a pre-defined area near the waste storage facility;

[0015] The area image recognition module is used to recognize the area image of the target area and determine the actual size and type of at least one discarded waste.

[0016] An alarm information generation module is used to generate a first alarm information and / or a second alarm information based on the actual size and type of at least one discarded waste. The waste type includes a first type of waste and a second type of waste. The first type of waste is waste that can be put into a waste bin storing a type of waste through any waste disposal opening, and the second type of waste is waste that cannot be put into a waste bin storing a type of waste through any waste disposal opening.

[0017] The first alarm information sending module is used to send the first alarm information to the first mobile device so that the first type of staff can process the first type of waste based on the first alarm information;

[0018] The second alarm information sending module is used to send the second alarm information to the second mobile device so that the second type of staff can process the second type of waste based on the second alarm information.

[0019] Thirdly, embodiments of this application also provide an electronic device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, the steps of the waste disposal method for a waste storage mechanism as described above are performed.

[0020] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the waste disposal method for a waste storage facility as described above.

[0021] This application provides a waste disposal method, apparatus, and equipment for a waste storage facility. By recognizing images of the negative area of ​​the waste storage facility, it promptly notifies the corresponding staff to handle the waste based on its type and size. This solves the problems of existing technologies that require dedicated personnel to be stationed at the waste bins for management. Furthermore, when waste is too large to be placed in the bins or there are no bins matching the waste type, it is left on the ground, preventing timely notification of staff and causing prolonged exposure and environmental pollution. This solution achieves the goal of protecting the environment by preventing prolonged waste exposure and ensuring timely disposal of discarded waste, while also avoiding the need for real-time personnel to monitor the waste bins.

[0022] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0023] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 A flowchart illustrating a first waste treatment method for a waste storage facility provided in this application embodiment;

[0025] Figure 2A flowchart illustrating a second waste treatment method for a waste storage facility provided in an embodiment of this application;

[0026] Figure 3 A flowchart illustrating a third waste treatment method for a waste storage facility provided in this application embodiment;

[0027] Figure 4 A schematic diagram of a waste treatment device for a waste storage facility provided in an embodiment of this application;

[0028] Figure 5 This application provides a schematic diagram of the structure of an electronic device. Detailed Implementation

[0029] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. Based on the embodiments of this application, every other embodiment obtained by those skilled in the art without inventive effort falls within the scope of protection of this application.

[0030] First, the applicable scenarios for this application will be introduced. This application can be applied to waste sorting and disposal scenarios.

[0031] Research has found that currently, most garbage sorting involves outdoor disposal using different garbage bins placed on the ground.

[0032] Garbage is easily scattered around the trash cans. Due to the size and capacity limitations of the trash cans, not only is it necessary to have someone on duty in front of the trash cans to manage it, but also when the garbage is too large to be put into the trash can or there is no trash can that matches the type of garbage, it can only be placed on the ground. In such cases, it is impossible to notify the staff in time to deal with it, resulting in the garbage being exposed for too long and causing environmental pollution.

[0033] Based on this, this application provides a waste disposal method, apparatus, and equipment for a waste storage facility. It can identify images of the negative area of ​​the waste storage facility and, based on the type and size of the discarded waste, promptly notify the corresponding staff for processing. This solves the problems in the prior art where dedicated personnel are required to manage the waste bins, and where waste that is too large to be placed in a bin or where there is no bin corresponding to the waste type can be disposed of, leaving it on the ground, cannot be promptly notified to handle, leading to prolonged exposure of waste and environmental pollution. This solution achieves the effect of protecting the environment from prolonged waste exposure, promptly processing discarded waste, and avoiding the need for real-time personnel to monitor the waste bins.

[0034] See also Figure 1 , Figure 1 This is a flowchart illustrating a waste disposal method for a waste storage facility, as provided in an embodiment of this application.

[0035] It should be noted that the waste storage mechanism includes multiple waste bins and multiple waste disposal openings. The multiple waste bins are installed in the underground installation trench of the waste storage mechanism, and each waste disposal opening is positioned opposite to one waste bin. Each waste bin is used to store one type of waste.

[0036] like Figure 1 As shown in the embodiments of this application, the waste treatment method for a waste storage facility includes:

[0037] S101. Obtain the area image of the target area captured by the camera.

[0038] The target area includes the waste storage facility and the area near the waste storage facility as predefined.

[0039] Specifically, the camera can take pictures of the target area at a preset shooting frequency to ensure that exposed garbage in the target area is not left for too long due to excessively long shooting intervals.

[0040] S102. Identify the area image of the target area to determine the actual size and type of at least one discarded waste.

[0041] Specifically, the actual size of each discarded piece of trash can be determined as follows: extract the cut image corresponding to the discarded trash from the area image; determine the rotation angle of the discarded trash in the cut image and the size occupied by the discarded trash in the cut image, wherein the rotation angle of the discarded trash is used to indicate the rotation angle of the target trash relative to the front of the discarded trash in the target image; and determine the actual size of the discarded trash based on the rotation angle and the size occupied by the discarded trash.

[0042] In this step, the step of extracting the cut image corresponding to the discarded waste from the regional image includes: recognizing the regional image, determining the reference coordinates of each discarded waste in the regional image and the image cut size of each discarded waste; and obtaining the cut image corresponding to each discarded waste based on the reference coordinates of each discarded waste in the regional image and the image cut size of each discarded waste.

[0043] Specifically, the reference coordinates of each discarded piece of trash can be determined as follows: the cut image is converted to grayscale to obtain a first intermediate image; pixels exceeding a preset brightness value in the first intermediate image are removed to obtain a second intermediate image; the second intermediate image is divided into multiple third intermediate images by a preset size; the multiple third intermediate images are sequentially input into the trained image processing model according to their positional order to obtain the reference coordinates of the discarded trash in the region image.

[0044] For example, an image recognition algorithm can be used to identify the midpoint coordinates of each discarded piece of trash and determine the image cutting size of each discarded piece of trash. For instance, based on the image recognition algorithm, the midpoint coordinates of a discarded piece of trash in the image can be obtained as (13, 12), and the image cutting size can be (7CM, 11CM).

[0045] Specifically, the rotation angle of the discarded trash in the cut image can be determined in the following way: the cut image is binarized, and the trash-occupied image is determined from the binarized cut image; edge detection is performed on the trash-occupied image to obtain at least one binarized connected region; the at least one binarized connected region is filtered according to a preset filtering rule to obtain a target binarized connected region; based on the trained convolutional neural network algorithm, the rotation angle of the discarded trash in the target image and the size of the discarded trash in the target image are determined according to the target binarized connected region.

[0046] The segmented image is binarized by setting the pixels containing discarded garbage to 1 and all other pixels to 0. This yields the garbage-occupied image.

[0047] Here, a 3x3 rectangle can be used for image cropping and translation filtering. If the image size is insufficient, zeros are added. For example, if a pixel's coordinates are (x, y), the following formula can be used to filter the pixels:

[0048]

[0049] in, Let x be a constant, x be the x-coordinate of the pixel, and y be the y-coordinate of the pixel.

[0050] Specifically, by processing each pixel using the above formula, noise in the binarized image can be reduced, making the image easier to process later.

[0051] Optionally, the method further includes: determining whether the actual size of the discarded waste is greater than a preset maximum value for discarded waste; if the actual size of the discarded waste is greater than the preset maximum value for discarded waste, then deleting the discarded waste; if the actual size of the discarded waste is less than or equal to the preset maximum value for discarded waste, then determining whether the actual size of the discarded waste is less than a preset minimum value for discarded waste; if the actual size of the discarded waste is less than the preset minimum value for discarded waste, then deleting the discarded waste.

[0052] In this way, by filtering the size of the waste based on the preset maximum and minimum values ​​of the waste to be discarded, the misidentification of the waste due to factors such as lighting, weather, and image background can be avoided.

[0053] Both the convolutional neural network algorithm and the image recognition algorithm can identify the type of discarded garbage. The image recognition algorithm can obtain the first garbage identification type, and the convolutional neural network algorithm can obtain the second garbage identification type.

[0054] The waste type of each discarded piece of waste can be determined in the following way: It is determined whether the first waste identification type and the second waste identification type are the same; if so, the first waste identification type is determined as the waste type of the discarded waste; if not, the waste type is re-identified based on a convolutional neural network algorithm and an image recognition algorithm, and it is determined whether the re-identified first waste identification type and the second waste identification type are the same; if so, the first waste identification type is determined as the waste type of the discarded waste; if not, the first waste identification type is determined as the waste type of the discarded waste, and an undetermined identifier is added to the waste type.

[0055] Optionally, the method further includes: determining the actual coordinates of each discarded piece of trash based on the reference coordinates of each discarded piece of trash; determining whether each discarded piece of trash is within the target area based on the actual coordinates of each discarded piece of trash; and deleting discarded trash whose actual coordinates are not within the target area.

[0056] S103. Generate a first alarm message and / or a second alarm message based on the actual size and type of at least one discarded waste.

[0057] The types of waste include a first type of waste and a second type of waste. The first type of waste is waste that can be disposed of in a waste bin containing a specific type of waste through any waste disposal opening. The second type of waste is waste that cannot be disposed of in a waste bin containing a specific type of waste through any waste disposal opening.

[0058] For example, the first category of waste can be recyclables, hazardous waste, kitchen waste, other waste, etc., while the second category of waste can be construction waste, toxic waste, or the first category of waste that cannot be put into the trash can.

[0059] S104. Send the first alarm information to the first mobile device so that the first type of staff can process the first type of waste based on the first alarm information.

[0060] Among them, the first type of staff are those whose work location is near the waste storage facility. The first type of staff are equipped with the first type of mobile equipment. When the first type of staff receives the first alarm information, they can arrive at the target area in time and put the first type of waste scattered in the target area into the corresponding trash can.

[0061] This reduces the time that garbage is exposed, making it easier for staff to promptly handle scattered garbage.

[0062] Optionally, the method further includes: obtaining the location information of the first mobile device, and after the first mobile device enters the target area, opening the lid of the trash can corresponding to the type of the first type of trash according to the type of the first type of trash, so that the first type of staff can process the first type of trash.

[0063] S105. Send the second alarm information to the second mobile device so that the second type of staff can process the second type of waste based on the second alarm information.

[0064] The second type of staff is not restricted to working near waste storage facilities. Upon receiving a second type of alarm message, they can select appropriate transportation tools to process the waste based on the message's content. For example, an alarm message sent to a second type of staff might state: "Waste type: construction waste; waste dimensions: 1 meter long, 1 meter wide, 1 meter high."

[0065] The waste disposal method, apparatus, and equipment for waste storage facilities provided in this application embodiment can identify images of the negative area of ​​the waste storage facility and promptly notify the corresponding staff for processing based on the type and size of the discarded waste. This solves the problems in the prior art where dedicated personnel are required to stand guard in front of the waste bins for management, and where waste that is too large to be placed in the bins or where there are no bins corresponding to the waste type can be disposed of and the waste can only be placed on the ground, cannot be promptly notified to handle the waste, resulting in prolonged exposure of the waste and causing environmental pollution. This achieves the effect of protecting the environment from prolonged exposure of waste, promptly processing discarded waste, and avoiding the need for real-time monitoring of the waste bins.

[0066] See also Figure 2 , Figure 2 A flowchart illustrating a second waste treatment method for a waste storage facility provided in an embodiment of this application.

[0067] It should be noted that each garbage disposal opening is equipped with a garbage can lid, and each garbage can lid is equipped with an active infrared signal detector, which is used to detect whether a person is disposing of garbage near the garbage can.

[0068] like Figure 2 As shown in the embodiments of this application, the second waste treatment method for a waste storage facility includes:

[0069] S201. Acquire infrared detection signals.

[0070] S202. Determine whether the distance is within the preset delivery limit distance and whether the time is greater than the preset normal delivery time.

[0071] This step determines whether the distance of the person disposing of garbage detected by the active infrared signal detector is within the preset disposal limit distance, and whether the time for the active infrared signal detector to detect the person disposing of garbage is greater than the preset normal disposal time.

[0072] If the distance of the person disposing of garbage detected by the active infrared signal detector is within the preset disposal limit distance, and the time for the active infrared signal detector to detect the person disposing of garbage is longer than the preset normal disposal time, then step 203, opening the garbage can lid, is executed.

[0073] After opening the trash can lid, proceed to step S204: determine if the opening time of the feeding port is greater than the preset time. If so, proceed to step S205: close the trash can lid.

[0074] If the distance of the person disposing of the garbage detected by the active infrared signal detector is not within the preset disposal limit distance, and the time for the person to be detected by the active infrared signal detector is less than the preset normal disposal time, then the garbage can lid will not be opened.

[0075] In this way, based on the limitations of the distance to the garbage disposal person detected by the active infrared signal detector and the disposal time of the garbage disposal person detected by the active infrared signal detector, the accidental opening of the garbage can lid is avoided, and the situation of malicious opening and closing of the garbage can lid is also avoided.

[0076] See also Figure 3 , Figure 3 A flowchart illustrating a third waste treatment method for a waste storage facility provided in this application embodiment.

[0077] It should be noted that each trash can is equipped with an ultrasonic detector, which is used to detect the amount of trash in the trash can.

[0078] like Figure 3 As shown in the embodiments of this application, the third waste treatment method for a waste storage facility includes:

[0079] The number of times the trash can lid is opened is obtained in real time, and step S301 is executed to determine whether the number of times the trash can lid is opened is greater than the preset standard threshold.

[0080] If so, proceed to step S302: the ultrasonic detector detects the current amount of waste.

[0081] After detecting the current amount of trash in the trash can using the ultrasonic detector, step S303 is executed to determine whether the current amount of trash is greater than the previous amount of trash, and whether the current amount of trash is greater than the previous two amounts of trash.

[0082] If not, then end the process.

[0083] If so, proceed to step S306, store the current amount of garbage, and proceed to step S304, determine whether the current amount of garbage is greater than or equal to the rated amount of garbage in the garbage bin.

[0084] If the current amount of waste is greater than or equal to the rated waste capacity of the trash can, then step S305 is executed to send the current amount of waste to the third mobile device so that the third type of personnel can process the waste in the trash can.

[0085] If the current amount of garbage is less than the rated amount of garbage in the garbage bin, then proceed to step S307 to determine whether the interval exceeds the preset time.

[0086] If the time elapsed since the last time the amount of trash was sent to the alarm device exceeds a preset time threshold, then step S305 is executed to send the current amount of trash to the third mobile device. This allows third-class personnel to process the trash in the trash can.

[0087] If the current time is less than or equal to the preset time threshold since the last time a garbage amount was sent to the alarm device, the process ends.

[0088] This way, when there is too much trash in each trash can, staff can be notified in time to handle the trash, avoiding the situation where the trash cans are overflowing and unable to be used for disposal.

[0089] This application provides a waste disposal method, apparatus, and equipment for a waste storage facility. By recognizing images of the negative area of ​​the waste storage facility, it promptly notifies the corresponding staff to handle the waste based on its type and size. This solves the problems of existing technologies that require dedicated personnel to be stationed at the waste bins for management. Furthermore, when waste is too large to be placed in the bins or there are no bins matching the waste type, it is left on the ground, preventing timely notification of staff and causing prolonged exposure and environmental pollution. This solution achieves the goal of protecting the environment by preventing prolonged waste exposure and ensuring timely disposal of discarded waste, while also avoiding the need for real-time personnel to monitor the waste bins.

[0090] Based on the same inventive concept, this application also provides a waste treatment device for a waste storage facility corresponding to the waste treatment method for a waste storage facility. Since the principle of the device in this application is similar to the waste treatment method for a waste storage facility described above in this application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0091] See also Figure 4 , Figure 4 This is a schematic diagram of a waste treatment device for a waste storage facility provided in an embodiment of this application.

[0092] The waste storage mechanism includes multiple waste bins and multiple waste disposal openings. The multiple waste bins are installed in the underground installation trench of the waste storage mechanism. Each waste disposal opening is positioned opposite a waste bin, and each waste bin is used to store one type of waste.

[0093] like Figure 4 As shown, the waste disposal device 400 includes...

[0094] The area image acquisition module 401 is used to acquire area images of the target area captured by the camera. The target area includes the garbage storage facility and a pre-defined area near the garbage storage facility.

[0095] The area image recognition module 402 is used to recognize the area image of the target area and determine the actual size and type of at least one discarded waste.

[0096] The alarm information generation module 403 is used to generate a first alarm information and / or a second alarm information based on the actual size and type of at least one discarded waste. The waste type includes a first type of waste and a second type of waste. The first type of waste is waste that can be put into a waste bin storing a type of waste through any waste disposal opening, and the second type of waste is waste that cannot be put into a waste bin storing a type of waste through any waste disposal opening.

[0097] The first alarm information sending module 404 is used to send the first alarm information to the first mobile device so that the first type of staff can process the first type of waste based on the first alarm information.

[0098] The second alarm information sending module 405 is used to send the second alarm information to the second mobile device so that the second type of staff can process the second type of waste based on the second alarm information.

[0099] The waste disposal device for a waste storage facility provided in this application embodiment can identify the image of the negative area of ​​the waste storage facility and promptly notify the corresponding staff for processing based on the type and size of the discarded waste. This solves the problems in the prior art where dedicated personnel are required to manage the waste bins, and where waste that is too large to be placed in the bins or where there are no bins corresponding to the waste type can be disposed of and the waste can only be placed on the ground, cannot be promptly notified to handle the waste, resulting in prolonged exposure and environmental pollution. This device achieves the effect of protecting the environment from prolonged exposure of waste, promptly processing discarded waste, and avoiding the need for real-time monitoring of the waste bins.

[0100] See also Figure 5 , Figure 5This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 5 As shown, the electronic device 500 includes a processor 510, a memory 520, and a bus 530.

[0101] The memory 520 stores machine-readable instructions executable by the processor 510. When the electronic device 500 is running, the processor 510 and the memory 520 communicate via the bus 530. When the machine-readable instructions are executed by the processor 510, they can perform the operations described above. Figure 1 by, Figure 2 and Figure 3 The specific implementation of the waste treatment method for the waste storage facility shown in the method embodiment can be found in the method embodiment, and will not be repeated here.

[0102] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, can perform the above-described actions. Figure 1 , Figure 2 and Figure 3 The specific implementation of the waste treatment method for the waste storage facility shown in the method embodiment can be found in the method embodiment, and will not be repeated here.

[0103] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0104] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the shown or discussed mutual couplings, direct couplings, or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0105] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0106] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0107] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0108] Finally, it should be noted that the above-described embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The scope of protection of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this application. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A waste treatment method for a waste storage facility, characterized in that, The waste storage mechanism includes multiple waste bins and multiple waste disposal openings. The waste bins are installed in an underground mounting trench within the waste storage mechanism. Each waste disposal opening is positioned opposite a waste bin. Each waste bin is used to store one type of waste. Each waste disposal opening is equipped with a lid, and each waste bin lid is equipped with an active infrared signal detector. The active infrared signal detector is used to detect whether a person is approaching the waste bin. The method includes: Acquire a regional image of the target area captured by the camera, the target area including the waste storage facility and a pre-defined area near the waste storage facility; The region image of the target area is identified to determine the actual size and type of at least one discarded piece of waste. Based on the actual size and type of at least one discarded waste, a first alarm message and / or a second alarm message are generated. The waste type includes a first type of waste and a second type of waste. The first type of waste is waste that can be put into a waste bin storing a type of waste through any waste disposal opening. The second type of waste is waste that cannot be put into a waste bin storing a type of waste through any waste disposal opening. The first alarm information is sent to the first mobile device so that the first type of staff can process the first type of waste based on the first alarm information; The second alarm information is sent to the second mobile device so that the second type of staff can process the second type of waste based on the second alarm information; The actual size of each piece of discarded waste is determined in the following way: The region image is identified, and the reference coordinates and image cutting size of each discarded piece of trash in the region image are determined. Based on the reference coordinates and image cutting size of each discarded piece of trash in the region image, a cut image corresponding to each discarded piece of trash is obtained. Determine the rotation angle of the discarded waste in the cut image and the occupied size of the discarded waste in the cut image. The rotation angle of the discarded waste is used to indicate the rotation angle of the target waste relative to the front of the discarded waste in the target image. The actual size of the discarded waste is determined based on its rotation angle and the size it occupies.

2. The method according to claim 1, characterized in that, The reference coordinates for each piece of discarded trash are determined using the following method: The cut image is converted to grayscale to obtain a first intermediate image; Remove pixels in the first intermediate image that exceed a preset brightness value to obtain the second intermediate image; The second intermediate image is divided into multiple third intermediate images by a preset size; Multiple third intermediate images are sequentially input into the trained image processing model according to their positional order to obtain the reference coordinates of the discarded trash in the image of the region.

3. The method according to claim 1, characterized in that, The rotation angle of the discarded trash in the cut image is determined by the following method: The cut image is binarized, and the garbage-occupied image is determined from the binarized cut image. Edge detection is performed on the garbage-occupied image to obtain at least one binarized connected region; At least one binary connected region is filtered according to a preset filtering rule to obtain the target binary connected region; Based on the trained convolutional neural network algorithm, the rotation angle and the size occupied by the discarded trash in the target image are determined according to the target binarized connected region.

4. The method according to claim 1, characterized in that, The method further includes: Determine whether the actual size of the discarded waste is greater than the preset maximum size of the discarded waste; If the actual size of the discarded waste is larger than the preset maximum size of the discarded waste, then the discarded waste is deleted; If the actual size of the discarded waste is less than or equal to the preset maximum size of the discarded waste, then determine whether the actual size of the discarded waste is less than the preset minimum size of the discarded waste. If the actual size of the discarded waste is smaller than the preset minimum size of the discarded waste, then the discarded waste is deleted.

5. The method according to claim 1, wherein The method further includes: It determines whether the distance of the garbage disposal person detected by the active infrared signal detector is within the preset disposal limit distance, and whether the time for the active infrared signal detector to detect the disposal person is greater than the preset normal disposal time; If the distance of the garbage disposal person detected by the active infrared signal detector is within the preset disposal limit distance, and the disposal time of the garbage disposal person detected by the active infrared signal detector is greater than the preset normal disposal time, then the garbage can lid is opened and closed after the preset time. If the distance of the person disposing of garbage detected by the active infrared signal detector is not within the preset disposal limit distance, and the disposal time of the person disposing of garbage detected by the active infrared signal detector is less than the preset normal disposal time, then the garbage can lid will not be opened.

6. The method according to claim 5, characterized in that, Each trash can is equipped with an ultrasonic detector, which is used to detect the amount of trash in the trash can. The method further includes: Get the number of times the trash can lid has been opened, and determine whether the number of times the trash can lid has been opened is greater than a preset standard threshold. If so, the current amount of trash in the trash can is detected by the ultrasonic detector; Determine whether the current amount of garbage is greater than the previous amount of garbage, and determine whether the current amount of garbage is greater than the previous two amounts of garbage; If the current amount of garbage is greater than the previous amount of garbage and greater than the previous two amounts of garbage, then store the current amount of garbage and determine whether the current amount of garbage is greater than or equal to the rated amount of garbage in the garbage bin. If so, the current amount of garbage will be sent to the alarm device so that staff can process the garbage in the bin. If not, determine whether the current time is greater than the time since the last time the amount of garbage was sent to the alarm device than the preset time threshold. If so, the current amount of waste is sent to a third mobile device so that a third type of worker can process the waste in that bin.

7. A waste disposal device for a waste storage facility, characterized in that, The waste storage mechanism includes multiple waste bins and multiple waste disposal openings. The multiple waste bins are installed in an underground mounting trench of the waste storage mechanism. Each waste disposal opening is positioned opposite a waste bin. Each waste bin is used to store one type of waste. Each waste disposal opening is equipped with a waste bin lid, and each waste bin lid is equipped with an active infrared signal detector. The device includes: The area image acquisition module is used to acquire area images of a target area captured by the camera, wherein the target area includes the waste storage facility and a pre-defined area near the waste storage facility; The area image recognition module is used to recognize the area image of the target area and determine the actual size and type of at least one discarded waste. The area image recognition module also determines the actual size of each discarded piece of trash in the following ways: The region image is identified, and the reference coordinates and image cutting size of each discarded piece of trash in the region image are determined. Based on the reference coordinates and image cutting size of each discarded piece of trash in the region image, a cut image corresponding to each discarded piece of trash is obtained. Determine the rotation angle of the discarded waste in the cut image and the occupied size of the discarded waste in the cut image. The rotation angle of the discarded waste is used to indicate the rotation angle of the target waste relative to the front of the discarded waste in the target image. The actual size of the discarded waste is determined based on its rotation angle and the size it occupies. An alarm information generation module is used to generate a first alarm information and / or a second alarm information based on the actual size and type of at least one discarded waste. The waste type includes a first type of waste and a second type of waste. The first type of waste is waste that can be put into a waste bin storing a type of waste through any waste disposal opening, and the second type of waste is waste that cannot be put into a waste bin storing a type of waste through any waste disposal opening. The first alarm information sending module is used to send the first alarm information to the first mobile device so that the first type of staff can process the first type of waste based on the first alarm information; The second alarm information sending module is used to send the second alarm information to the second mobile device so that the second type of staff can process the second type of waste based on the second alarm information.

8. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory via the bus, and the processor executes the machine-readable instructions to perform the steps of the method as described in any one of claims 1 to 6.

Citation Information

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