Waste transportation scheduling method and device, electronic equipment and storage medium

Through image recognition of waste to be recycled in industrial parks and multi-objective evolution algorithms, the problem of cumbersome and low efficiency of waste transportation scheduling in the existing technology is solved, and automated scheduling of transportation is realized, and transportation efficiency and reliability are improved.

CN119809477APending Publication Date: 2025-04-11蒙牛乳业(宁夏)有限公司 +1
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Patent Information

Application Number
CN202411862692.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-17
Publication Date
2025-04-11

AI Technical Summary

Technical Problem

In the prior art, waste transportation and scheduling in industrial parks requires manual offline communication, with cumbersome processes and low efficiency.

Method used

By identifying the image of different types of waste to be recycled in the park, the weight information is determined, and based on the weight information, the location and carrying capacity of the cooperative vehicles, the multi-objective evolution algorithm is used to screen the transportation vehicles, generate scheduling information, and realize automated scheduling and transportation.

Benefits of technology

Reduces human participation, reduces operational errors, and improves the efficiency and reliability of waste transportation.

✦ Generated by Eureka AI based on patent content.

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    Figure CN119809477A_ABST
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Abstract

The invention provides a waste transportation scheduling method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the recognition of images of a plurality of different types of to-be-recovered wastes in a park, and determining the weight information of the plurality of different types of to-be-recovered wastes; based on the weight information, the position information of the plurality of cooperative vehicles away from the park and the carrying capacity information of each cooperative vehicle, determining a plurality of transport vehicles for transporting wastes from the plurality of cooperative vehicles, and generating scheduling information of each transport vehicle going to the park; and sending the scheduling information of each transport vehicle to a driver end of the corresponding transport vehicle, so that after receiving the scheduling information, the driver end goes to the park to transport a corresponding type of waste to be recovered based on the scheduling information. By means of automatic image recognition and dispatching transportation processes, errors and negligence of manual participation and manual operation are reduced, and the efficiency and reliability of waste transportation are improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of transportation scheduling, and in particular to a method, device, electronic equipment and storage medium for transport scheduling of waste materials. Background Art

[0002] The existing method for dispatching the transportation of waste in industrial parks requires manual offline communication on sales matters, determining the time of sales, offline connection with the financial and transportation personnel time, ensuring that personnel from various departments are on-site to supervise the sales, and at the same time, it is necessary to retain photos, offline check the weight and unit price, calculate whether the total amount of sales is correct, and sign offline for confirmation.

[0003] The existing transportation scheduling method based on manual control has cumbersome procedures and complex links, resulting in low efficiency of waste transportation. Summary of the invention

[0004] The present invention provides a waste transportation scheduling method, device, electronic equipment and storage medium, which are used to improve the efficiency of waste transportation in an industrial park.

[0005] The present invention provides a method for transporting and scheduling waste materials, comprising the following steps: Based on identifying images of multiple different types of waste to be recycled in the park, determining weight information of the multiple different types of waste to be recycled; Based on the weight information, the location information of the multiple cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle, determine multiple transport vehicles for transporting the waste from the multiple cooperative vehicles, and generate scheduling information for each transport vehicle to go to the park; The dispatch information of each transport vehicle is sent to the driver end of the corresponding transport vehicle, so that after receiving the dispatch information, the driver end goes to the park to transport the corresponding type of waste to be recycled based on the dispatch information.

[0006] According to a waste transportation scheduling method provided by the present invention, the method is based on identifying images of multiple different types of waste to be recycled in a park, and determining the weight information of the multiple different types of waste to be recycled, including: Segmenting the waste to be recycled in the images of the waste to be recycled of different types based on edge detection, and determining the volume information of the waste to be recycled of different types based on the segmented images; The weight information of the plurality of different types of waste materials to be recycled is determined based on the volume information and a predetermined density model of each type of waste materials to be recycled, wherein the density model is constructed based on the corresponding relationship between volume and weight.

[0007] According to a waste transportation scheduling method provided by the present invention, based on the weight information, the location information of the multiple cooperative vehicles from the park and the carrying capacity information of each cooperative vehicle, a plurality of transportation vehicles for transporting the waste are determined from the multiple cooperative vehicles, including: Based on a multi-objective evolutionary algorithm, a multi-objective optimization is performed on the weight information, the location information of multiple cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle to screen the multiple cooperative vehicles and determine multiple transport vehicles for transporting waste from the multiple cooperative vehicles.

[0008] According to a waste transportation scheduling method provided by the present invention, after sending the scheduling information of each transport vehicle to the driver terminal of the corresponding transport vehicle, it also includes: When it is determined that each transport vehicle is about to arrive at the park, the driving trajectory of each transport vehicle in the park is determined based on the location information of multiple different types of recyclable waste in the park, the entrance and exit information of the park, and the location information of the weighing scale, and the park driving trajectory of each transport vehicle is sent to the driver end of the corresponding transport vehicle, so that after the driver end receives the park driving trajectory, it executes the waste transportation process in the park based on the park driving trajectory.

[0009] According to a waste transportation scheduling method provided by the present invention, after sending the park driving trajectory of each transport vehicle to the driver terminal of the corresponding transport vehicle, it also includes: When it is determined that each transport vehicle has entered the park and has completed loading and driven into the weighing scale, the display image of the weighing scale is obtained, and the weight in the display image is identified to determine the transport weight of each transport vehicle.

[0010] According to a waste transportation scheduling method provided by the present invention, after determining the transportation weight of each transportation vehicle, the method further includes: Acquire a loading image of the waste to be recycled loaded in each transport vehicle, and determine the category of the waste to be recycled loaded in each transport vehicle based on recognition of the loading image; Based on the transport weight and the categories of the waste materials to be recycled loaded in each transport vehicle, the loading recycling price of each transport vehicle is determined.

[0011] The present invention also provides a waste transportation scheduling device, comprising the following modules: A weight information determination module, configured to determine the weight information of the plurality of different types of waste materials to be recycled based on identifying images of the plurality of different types of waste materials to be recycled in the park; a scheduling information determination module, for determining a plurality of transport vehicles for transporting the waste from the plurality of cooperative vehicles based on the weight information, the location information of the plurality of cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle, and generating scheduling information for each transport vehicle to go to the park; The transport scheduling module is used to send the scheduling information of each transport vehicle to the driver end of the corresponding transport vehicle, so that after the driver end receives the scheduling information, it goes to the park to transport the corresponding type of waste to be recycled based on the scheduling information.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the program, the waste transportation scheduling method as described in any one of the above is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the waste transportation scheduling method as described in any one of the above is implemented.

[0014] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the waste transportation scheduling method as described in any one of the above is implemented.

[0015] The waste transportation scheduling method, device, electronic device and storage medium provided by the present invention can identify the image of the waste to be recycled, determine the weight information of the waste to be recycled, and determine the transportation vehicle and scheduling information based on the weight information, the location information of multiple cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle. The determined scheduling information is sent to the driver of the corresponding transportation vehicle, realizing the automated scheduling and transportation process of the waste. The automated image recognition and scheduling transportation process reduces the errors and negligence of human participation and human operation, and improves the efficiency and reliability of waste transportation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a schematic flow chart of the waste transportation scheduling method provided by the present invention.

[0018] Figure 2 It is a schematic diagram of the scheduling process provided by the present invention.

[0019] Figure 3 It is a structural schematic diagram of the waste transportation scheduling device provided by the present invention.

[0020] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Figure 1 It is a schematic diagram of the flow chart of the waste transportation scheduling method provided by the present invention, such as Figure 1 As shown, the method includes the following: Step 110, based on identifying images of multiple different types of waste materials to be recycled in the park, determining weight information of the multiple different types of waste materials to be recycled; Step 120, based on the weight information, the location information of the multiple cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle, determine multiple transport vehicles for transporting the waste from the multiple cooperative vehicles, and generate scheduling information for each transport vehicle to go to the park; Step 130, sending the dispatch information of each transport vehicle to the driver end of the corresponding transport vehicle, so that after receiving the dispatch information, the driver end goes to the park to transport the corresponding type of waste to be recycled based on the dispatch information.

[0023] The execution subject of the waste transportation scheduling method provided by the present invention can be an electronic device, a component in an electronic device, an integrated circuit, or a chip. The electronic device can be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc., and the non-mobile electronic device can be a server, a network attached storage (NAS), or a personal computer (PC), etc., which is not specifically limited by the present invention.

[0024] The following takes the method for transport scheduling of waste materials provided by the present invention executed by a computer as an example to describe the technical solution of the present invention in detail.

[0025] In step 110, based on identifying images of multiple different types of waste materials to be recycled in the park, weight information of the multiple different types of waste materials to be recycled is determined.

[0026] An image acquisition device, such as a camera, is set up at the location where the waste to be recycled is piled up in the park to obtain images of the waste to be recycled.

[0027] After acquiring the image of the waste to be recycled, the pre-processed image is recognized using an image recognition method (e.g., a convolutional neural network (CNN)) to identify different types of waste, such as metal, plastic, paper, glass, etc.

[0028] It should be noted that multiple different types of waste to be recycled not only refer to different types of waste to be recycled, but also refer to different grades of waste to be recycled. Different types of waste to be recycled need to be transported and processed separately and cannot be transported together.

[0029] After the type of waste is determined, it can be classified into a corresponding recycling category. After the type of waste is determined, the volume of the waste to be recycled can be determined by estimating the volume of the waste to be recycled in the image.

[0030] In order to convert volume to weight, it is necessary to know the density of each type of waste material. This can be obtained by consulting relevant literature, databases, or conducting experimental measurements. By multiplying the measured volume with the corresponding density, the weight information of the waste material can be estimated.

[0031] In step 120, based on the weight information, the location information of the multiple cooperating vehicles from the park, and the carrying capacity information of each cooperating vehicle, multiple transport vehicles for transporting the waste are determined from the multiple cooperating vehicles, and scheduling information for each transport vehicle to the park is generated.

[0032] Based on the weight information of the waste, the carrying capacity of the vehicle, and the location information of the vehicle from the park, multiple cooperative vehicles are screened to select the transport vehicle that can carry the current waste load. For the selected vehicles, a path planning algorithm (such as the Dijkstra algorithm, the A-star algorithm, or a more complex heuristic algorithm) is used to calculate the shortest path or the optimal path from the current location of the vehicle to the park. These algorithms take into account factors such as road conditions, traffic flow, speed limits, etc. to ensure that the vehicle can arrive on time.

[0033] Once the transport vehicle and dispatch plan are determined, detailed dispatch information needs to be generated, which may include vehicle ID, departure time, estimated arrival time, waste type and weight, and loading sequence.

[0034] During the actual transportation process of the transport vehicle, GPS and other sensor technologies can be used to monitor the location and status of the vehicle in real time.

[0035] In step 130, the dispatch information of each transport vehicle is sent to the driver's terminal of the corresponding transport vehicle, so that after receiving the dispatch information, the driver's terminal goes to the park to transport the corresponding type of waste to be recycled based on the dispatch information.

[0036] After the transport vehicle and dispatch information are determined, this information is sent to the driver's device of the corresponding transport vehicle in real time. Specifically, cloud services or private networks can be used to ensure that dispatch information can be transmitted to the driver's side in a timely and secure manner.

[0037] The driver goes to the park to transport the corresponding type of recyclable waste according to the dispatch information on the driver side.

[0038] Optionally, the waste transportation scheduling process can be realized based on the park scheduling system. The specific process can be as follows: Figure 2 The scheduling process diagram provided by the present invention is shown in FIG.

[0039] The park dispatching system interacts with the manufacturing enterprise's production execution system (MES) and the driver's terminal to jointly complete the waste transportation dispatching process.

[0040] A waste recycling order is created in the MES system based on the weight information of multiple different types of waste to be recycled, multiple transport vehicles, contact information of drivers in the transport vehicles, and scheduling information of each transport vehicle to the park.

[0041] The MES system sends the waste recovery order to the driver and synchronizes the waybill data to the park dispatch system.

[0042] The MES system pushes the "weigh vehicle tare" command to the park dispatch system, and the park dispatch system pushes the information to the driver. The driver drives the vehicle to the scale for weighing. After weighing, the park dispatching system returns the weighing data to the MES system. When weighing, the MES system sends a photo-taking instruction to the park dispatching system. The park dispatching system takes a photo and sends it back to the MES, which retains the photo. After the photos are saved, MES pushes vehicle loading instructions to the park, and the driver goes to the designated location to load the goods; After the driver has finished loading, he clicks "Finish loading" on the driver's terminal, and the park dispatch system pushes it to MES. MES pushes the vehicle gross weight movement instruction, and the park returns the weighing information to MES. After weighing is completed, MES pushes the photo-taking instruction to the park dispatching system, and the park takes the photo and sends it back to MES. If there are multiple types of scrap, repeat the weighing process.

[0043] After all line items are completed, MES pushes confirmation information to the person in charge of waste. After the person in charge confirms that it is completed, MES pushes the vehicle departure instruction to the park. After the vehicle leaves the factory, the park dispatching system returns the vehicle departure information to MES, and the work order is completed.

[0044] The waste transportation scheduling method provided by the present invention determines the weight information of the waste to be recycled by identifying the image of the waste to be recycled, and determines the transportation vehicle and scheduling information based on the weight information, the location information of multiple cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle. The determined scheduling information is sent to the driver of the corresponding transportation vehicle, realizing the automated scheduling and transportation process of the waste. The automated image recognition and scheduling transportation process reduces the errors and negligence of human participation and human operation, and improves the efficiency and reliability of waste transportation.

[0045] In one embodiment, the method of determining the weight information of the multiple different types of waste to be recycled based on identifying images of the multiple different types of waste to be recycled in the park includes: segmenting the waste to be recycled in the images of the multiple different types of waste to be recycled based on edge detection, and determining the volume information of the multiple different types of waste to be recycled based on the obtained segmented images; determining the weight information of the multiple different types of waste to be recycled based on the volume information and a predetermined density model of each type of waste to be recycled, wherein the density model is constructed based on the correspondence between volume and weight.

[0046] The image acquisition device is used to capture the waste to be recycled in the park to obtain images thereof. These images may contain multiple types of waste, and different types of waste are stored in their respective storage areas in the form of stacks.

[0047] Edge detection is performed on the waste to be recycled in the images of multiple different types of waste to be recycled. The edge detection is used to identify the boundary between the object and the background in the image. For the image of the waste to be recycled, the edge detection can determine the outline of the waste in the image. After determining the outline of the waste in the image, the waste is further separated from the background to obtain an independent waste image.

[0048] After obtaining the segmented waste image, the volume of each category of waste to be recycled is calculated. The three-dimensional information of the waste can be obtained based on stereo vision technology (such as binocular vision, structured light, etc.). After determining the three-dimensional shape of the waste, the volume information can be obtained by calculating its volume.

[0049] Pre-constructing a density model of the waste to be recycled. Based on the historical weight and volume data of the waste to be recycled, the corresponding relationship between volume and weight can be determined, and based on the determined corresponding relationship, a density model for weight estimation can be constructed.

[0050] Once the density model and the volume of the waste material are determined, the weight of the waste material can be estimated through mathematical operations (volume multiplied by density).

[0051] In one embodiment, the method of determining a plurality of transport vehicles for transporting waste from the plurality of cooperating vehicles based on the weight information, the location information of the plurality of cooperating vehicles from the park, and the carrying capacity information of each cooperating vehicle comprises: based on a multi-objective evolutionary algorithm, performing multi-objective optimization of the weight information, the location information of the plurality of cooperating vehicles from the park, and the carrying capacity information of each cooperating vehicle to screen the plurality of cooperating vehicles, and determining a plurality of transport vehicles for transporting waste from the plurality of cooperating vehicles.

[0052] It is necessary to first determine the objective function and constraints of the optimization problem. Specifically, the objective function may include minimizing the transportation distance (or time), maximizing the vehicle utilization rate (i.e., the ratio of carrying capacity to actual load), etc. Constraints include vehicle carrying capacity limits, waste weight requirements, and the distance between the vehicle's current location and the park.

[0053] The weight information of the waste, the location information of multiple cooperative vehicles from the park (which can be obtained through GPS), and the carrying capacity information of each cooperative vehicle (such as maximum load, vehicle size, etc.) will be used as the input of the multi-objective optimization algorithm.

[0054] Multi-objective evolutionary algorithms are a class of optimization algorithms that simulate natural selection and genetic mechanisms. They are able to find multiple Pareto-optimal solutions simultaneously in one run, that is, a set of solutions that cannot improve any one objective without compromising other objectives.

[0055] By adopting a multi-objective evolutionary algorithm to perform multi-objective optimization on weight information, cooperative vehicle location information and carrying capacity information, the combination of transport vehicles for transporting waste can be effectively screened out from multiple cooperative vehicles.

[0056] In one embodiment, after sending the dispatch information of each transport vehicle to the driver's end of the corresponding transport vehicle, it also includes: when it is determined that each transport vehicle is about to arrive at the park, based on the location information of multiple different types of recyclable waste in the park, the entrance and exit information of the park, and the location information of the weighing scale, the driving trajectory of each transport vehicle in the park is determined, and the park driving trajectory of each transport vehicle is sent to the driver's end of the corresponding transport vehicle, so that after the driver's end receives the park driving trajectory, it executes the waste transportation process in the park based on the park driving trajectory.

[0057] Collect the location information of different types of waste to be recycled in the park, the entrance and exit information of the park, and the location information of the weighing scale. The shortest path from the entrance and exit to the waste storage point and then to the weighing scale can be planned to reduce transportation time and cost, and ensure that the driving trajectories of different transportation vehicles will not interfere or conflict with each other.

[0058] After determining the driving trajectory of each transport vehicle, this information is sent to the driver of the corresponding transport vehicle. After receiving this information, the driver can clearly understand the driving route and task requirements within the park, so as to perform the waste transportation process more efficiently and accurately.

[0059] In one embodiment, after the park driving trajectory of each transport vehicle is sent to the driver's end of the corresponding transport vehicle, it also includes: when it is determined that each transport vehicle has entered the park and has completed loading and entered the weighing scale, the display image of the weighing scale is obtained, and the weight in the display image is identified to determine the transport weight of each transport vehicle.

[0060] After the transport vehicle enters the park, it is first necessary to weigh the empty transport vehicle. The empty transport vehicle drives to the weighing scale to determine the weight of the empty transport vehicle.

[0061] After the transport vehicle is loaded with the waste to be recycled, the weighing process is performed again to obtain the weight of the transport vehicle loaded with the waste to be recycled. The transport weight of the transport vehicle can be determined based on the weight of the empty transport vehicle and the weight of the transport vehicle loaded with the waste to be recycled.

[0062] The weight of an empty transport vehicle and a transport vehicle loaded with waste to be recycled can be determined by identifying the displayed image of a weighing scale, thereby automatically obtaining weight information. The area showing the weight in the image can be located for identification and determination. This can be achieved specifically by template matching. After locating the weight display area, the numeric characters therein are identified to obtain weight-related data.

[0063] In one embodiment, after determining the transport weight of each transport vehicle, it also includes: obtaining a loading image of the waste to be recycled loaded in each transport vehicle, and determining the category of the waste to be recycled loaded in each transport vehicle based on identifying the loading image; and determining the loading recycling price of each transport vehicle based on the transport weight and the category of the waste to be recycled loaded in each transport vehicle.

[0064] After the loading images of the waste materials to be recycled loaded in each transport vehicle are acquired, the types of the waste materials in the loading images may be identified based on image recognition technology.

[0065] Specifically, useful features such as color, texture, shape, etc. can be extracted from the image to distinguish different waste categories based on these features. The extracted features are input into the trained model, and the model will output the predicted waste category.

[0066] After the waste category is identified, the category of the waste to be recycled loaded in each transport vehicle is combined with the previously acquired transport weight to determine the loading recycling price of each transport vehicle.

[0067] The waste transportation scheduling device provided by the present invention is described below. The waste transportation scheduling device described below and the waste transportation scheduling method described above can be referred to in correspondence with each other.

[0068] like Figure 3 As shown, the device comprises: A weight information determination module 310, configured to determine weight information of a plurality of different types of waste materials to be recycled based on identifying images of the plurality of different types of waste materials to be recycled in the park; A scheduling information determination module 320, for determining a plurality of transport vehicles for transporting the waste from the plurality of cooperative vehicles based on the weight information, the location information of the plurality of cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle, and generating scheduling information for each transport vehicle to go to the park; The transport scheduling module 330 is used to send the scheduling information of each transport vehicle to the driver end of the corresponding transport vehicle, so that after receiving the scheduling information, the driver end goes to the park to transport the corresponding type of waste to be recycled based on the scheduling information.

[0069] The waste transportation scheduling device provided by the present invention determines the weight information of the waste to be recycled by identifying the image of the waste to be recycled, and determines the transportation vehicle and scheduling information based on the weight information, the location information of multiple cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle. The determined scheduling information is sent to the driver end of the corresponding transportation vehicle, realizing the automated scheduling and transportation process of the waste. The automated image recognition and scheduling transportation process reduces the errors and negligence of human participation and human operation, and improves the efficiency and reliability of waste transportation.

[0070] In one embodiment, the weight information determination module 310 is specifically used to: The method of determining the weight information of the plurality of different types of waste materials to be recycled based on the images of the plurality of different types of waste materials to be recycled in the park includes: Segmenting the waste to be recycled in the images of the waste to be recycled of different types based on edge detection, and determining the volume information of the waste to be recycled of different types based on the segmented images; The weight information of the plurality of different types of waste materials to be recycled is determined based on the volume information and a predetermined density model of each type of waste materials to be recycled, wherein the density model is constructed based on the corresponding relationship between volume and weight.

[0071] In one embodiment, the scheduling information determination module 320 is specifically used to: The method of determining a plurality of transport vehicles for transporting the waste from the plurality of cooperative vehicles based on the weight information, the location information of the plurality of cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle comprises: Based on a multi-objective evolutionary algorithm, a multi-objective optimization is performed on the weight information, the location information of multiple cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle to screen the multiple cooperative vehicles and determine multiple transport vehicles for transporting waste from the multiple cooperative vehicles.

[0072] In one embodiment, the transportation scheduling module 330 is specifically used to: After sending the dispatch information of each transport vehicle to the driver terminal of the corresponding transport vehicle, the method further includes: When it is determined that each transport vehicle is about to arrive at the park, the driving trajectory of each transport vehicle in the park is determined based on the location information of multiple different types of recyclable waste in the park, the entrance and exit information of the park, and the location information of the weighing scale, and the park driving trajectory of each transport vehicle is sent to the driver end of the corresponding transport vehicle, so that after the driver end receives the park driving trajectory, it executes the waste transportation process in the park based on the park driving trajectory.

[0073] In one embodiment, the transportation scheduling module 330 is further specifically configured to: After sending the park driving track of each transport vehicle to the driver terminal of the corresponding transport vehicle, the method further includes: When it is determined that each transport vehicle has entered the park and has completed loading and driven into the weighing scale, the display image of the weighing scale is obtained, and the weight in the display image is identified to determine the transport weight of each transport vehicle.

[0074] In one embodiment, the transportation scheduling module 330 is further specifically configured to: After determining the transport weight of each transport vehicle, the method further includes: Acquire a loading image of the waste to be recycled loaded in each transport vehicle, and determine the category of the waste to be recycled loaded in each transport vehicle based on recognition of the loading image; Based on the transport weight and the categories of the waste materials to be recycled loaded in each transport vehicle, the loading recycling price of each transport vehicle is determined.

[0075] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 410, a communications interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communications interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the waste transportation scheduling method, the method comprising: based on identifying images of multiple different types of waste to be recycled in the park, determining the weight information of the multiple different types of waste to be recycled; Based on the weight information, the location information of the multiple cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle, determine multiple transport vehicles for transporting the waste from the multiple cooperative vehicles, and generate scheduling information for each transport vehicle to go to the park; The dispatch information of each transport vehicle is sent to the driver end of the corresponding transport vehicle, so that after receiving the dispatch information, the driver end goes to the park to transport the corresponding type of waste to be recycled based on the dispatch information.

[0076] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0077] On the other hand, the present invention also provides a computer program product, the computer program product includes a computer program, the computer program can be stored in a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the waste transportation scheduling method provided by the above methods, the method comprising: based on identifying images of multiple different types of waste to be recycled in the park, determining the weight information of the multiple different types of waste to be recycled; Based on the weight information, the location information of the multiple cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle, determine multiple transport vehicles for transporting the waste from the multiple cooperative vehicles, and generate scheduling information for each transport vehicle to go to the park; The dispatch information of each transport vehicle is sent to the driver end of the corresponding transport vehicle, so that after receiving the dispatch information, the driver end goes to the park to transport the corresponding type of waste to be recycled based on the dispatch information.

[0078] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to execute the waste transportation scheduling method provided by the above methods, the method comprising: based on identifying images of multiple different types of waste to be recycled in the park, determining the weight information of the multiple different types of waste to be recycled; Based on the weight information, the location information of the multiple cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle, determine multiple transport vehicles for transporting the waste from the multiple cooperative vehicles, and generate scheduling information for each transport vehicle to go to the park; The dispatch information of each transport vehicle is sent to the driver end of the corresponding transport vehicle, so that after receiving the dispatch information, the driver end goes to the park to transport the corresponding type of waste to be recycled based on the dispatch information.

[0079] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0080] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for transporting and dispatching waste, characterized in that: include: Based on identifying images of multiple different types of waste to be recycled in the park, determining weight information of the multiple different types of waste to be recycled; Based on the weight information, the location information of the multiple cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle, determine multiple transport vehicles for transporting the waste from the multiple cooperative vehicles, and generate scheduling information for each transport vehicle to go to the park; The dispatch information of each transport vehicle is sent to the driver end of the corresponding transport vehicle, so that after receiving the dispatch information, the driver end goes to the park to transport the corresponding type of waste to be recycled based on the dispatch information.

2. The method for transporting and dispatching waste materials according to claim 1, characterized in that: The method of determining the weight information of the plurality of different types of waste materials to be recycled based on the images of the plurality of different types of waste materials to be recycled in the park includes: Segmenting the waste to be recycled in the images of the waste to be recycled of different types based on edge detection, and determining the volume information of the waste to be recycled of different types based on the segmented images; The weight information of the plurality of different types of waste materials to be recycled is determined based on the volume information and a predetermined density model of each type of waste materials to be recycled, wherein the density model is constructed based on the corresponding relationship between volume and weight.

3. The method for transporting and dispatching waste materials according to claim 1, characterized in that: The method of determining a plurality of transport vehicles for transporting the waste from the plurality of cooperative vehicles based on the weight information, the location information of the plurality of cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle comprises: Based on a multi-objective evolutionary algorithm, a multi-objective optimization is performed on the weight information, the location information of multiple cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle to screen the multiple cooperative vehicles and determine multiple transport vehicles for transporting waste from the multiple cooperative vehicles.

4. The method for transporting and dispatching waste materials according to claim 1, characterized in that: After the dispatching information of each transport vehicle is sent to the driver terminal of the corresponding transport vehicle, the method further includes: When it is determined that each transport vehicle is about to arrive at the park, the driving trajectory of each transport vehicle in the park is determined based on the location information of multiple different types of recyclable waste in the park, the entrance and exit information of the park, and the location information of the weighing scale, and the park driving trajectory of each transport vehicle is sent to the driver end of the corresponding transport vehicle, so that after the driver end receives the park driving trajectory, it executes the waste transportation process in the park based on the park driving trajectory.

5. The method for transporting and dispatching waste materials according to claim 4, characterized in that: After sending the park driving track of each transport vehicle to the driver terminal of the corresponding transport vehicle, the method further includes: When it is determined that each transport vehicle has entered the park and has completed loading and driven into the weighing scale, the display image of the weighing scale is obtained, and the weight in the display image is identified to determine the transport weight of each transport vehicle.

6. The method for transporting and dispatching waste materials according to claim 5, characterized in that: After determining the transport weight of each transport vehicle, the method further includes: Acquire a loading image of the waste to be recycled loaded in each transport vehicle, and determine the category of the waste to be recycled loaded in each transport vehicle based on recognition of the loading image; Based on the transport weight and the categories of the waste materials to be recycled loaded in each transport vehicle, the loading recycling price of each transport vehicle is determined.

7. A waste transportation scheduling device, characterized in that: include: A weight information determination module, configured to determine the weight information of the plurality of different types of waste materials to be recycled based on identifying images of the plurality of different types of waste materials to be recycled in the park; a scheduling information determination module, for determining a plurality of transport vehicles for transporting the waste from the plurality of cooperative vehicles based on the weight information, the location information of the plurality of cooperative vehicles from the park, and the carrying capacity information of each cooperative vehicle, and generating scheduling information for each transport vehicle to go to the park; The transport scheduling module is used to send the scheduling information of each transport vehicle to the driver end of the corresponding transport vehicle, so that after the driver end receives the scheduling information, it goes to the park to transport the corresponding type of waste to be recycled based on the scheduling information.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the program, the waste transportation scheduling method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for dispatching waste transportation as claimed in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for dispatching waste transportation as claimed in any one of claims 1 to 6 is implemented.

Citation Information

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