Tailing transportation control method and device, electronic equipment and storage medium

Abstract

The invention discloses a tailing transportation control method and device, electronic equipment and a storage medium. The method comprises the following steps: respectively acquiring weight values measured by a first wagon balance and a second wagon balance; calculating the actual loading amount of the truck based on the weight values measured by the first wagon balance and the second wagon balance; acquiring a truck image shot in a vehicle washing area, and identifying the truck image to judge whether the truck is a legal vehicle or not; when it is judged that the truck is the legal truck, a truck washing signal is sent to the truck washing area, and the accumulated truck washing times of the truck on the same day are updated; and associating all the actual loading quantities of the truck on the same day with the current accumulated washing times of the truck to generate a tailing transportation data graph of the truck. The technical problems that in the prior art, the tailing shipment amount per day cannot be accurately obtained, and the shipment condition of each laterite-nickel ore tailing transport vehicle cannot be conveniently obtained are solved.

Description

Technical Field

[0001] This application relates to the technical field of laterite nickel ore tailings transportation, and particularly relates to a tailings transportation method, device, electronic device, and storage medium. Background Art

[0002] After treating laterite nickel ore using hydrometallurgical technology, tailings will be obtained. The tailings also contain relatively many valuable metal elements. Therefore, generally, the tailings will be separately treated additionally.

[0003] Currently, the treatment of laterite nickel ore and the treatment of tailings are generally carried out separately. That is to say, after the treatment of laterite nickel ore is completed, the tailings will be consigned to other locations for treatment. In the prior art, generally, trucks are used to transport the tailings to the tailings treatment point. Before the truck leaves the laterite nickel ore treatment point, it will pass through a weighbridge for weight detection. Then, the staff will read the weighbridge reading and record the total number of shipments for subsequent cost settlement. However, since the weight of the truck is unknown before it passes through the weighbridge, it will result in the inability to accurately calculate the daily tailings shipment weight. Moreover, since generally only the total number of trucks or the weight shipped on the same day is currently counted, the staff cannot know the specific transportation situation of each truck, which is not convenient for subsequent analysis of the fleet. Summary of the Invention

[0004] The purpose of this application is to overcome the above technical deficiencies, and provide a tailings transportation control method, device, electronic device, and storage medium to solve the technical problems in the prior art that the daily tailings shipment volume cannot be accurately obtained and it is not convenient to obtain the shipping situation of each laterite nickel ore tailings transport truck.

[0005] To achieve the above technical purpose, this application adopts the following technical solutions:

[0006] In the first aspect, this application provides a tailings transportation control method, including the following steps:

[0007] Respectively obtain the weight values measured by the first weighbridge and the second weighbridge, where the first weighbridge is used to measure the weight of the truck before loading, and the second weighbridge is used to measure the weight of the truck after loading;

[0008] Based on the weight values measured by the first weighbridge and the second weighbridge, calculate the actual loading volume of the truck;

[0009] Obtain the truck image taken in the car wash area, and identify the truck image to determine whether the truck is a legal vehicle;

[0010] When it is determined that the truck is a legal vehicle, send a car wash signal to the car wash area and update the cumulative number of car washes of the truck on the same day;

[0011] Associate all the actual loading amounts of the truck on the current day with the current cumulative car wash times of the truck to generate the tail slag transportation data graph of the truck.

[0012] In some embodiments, the method further includes:

[0013] After the truck finishes washing, determine whether a truck going out signal sent by the access control system is received. If not, lock the current cumulative car wash times of the truck until the truck going out signal is received.

[0014] In some embodiments, obtaining the truck image captured in the car wash area and identifying the truck image to determine whether the truck is a legal vehicle includes:

[0015] Obtain the truck image captured in the car wash area and process the truck image to obtain the region of interest in the truck image, where the license plate of the truck is in the region of interest;

[0016] After preprocessing the region of interest, input the region of interest into a pre-established image recognition model to identify the license plate number of the truck;

[0017] Based on the license plate number of the truck, determine whether the truck is a legal vehicle.

[0018] In some embodiments, the way to preprocess the region of interest is:

[0019] Perform grayscale conversion and binarization processing on the region of interest in sequence;

[0020] Perform enhancement processing on the binarized region of interest.

[0021] In some embodiments, the image recognition model is a deep learning model or a machine learning model.

[0022] In some embodiments, based on the license plate number of the truck, determining whether the truck is a legal vehicle includes:

[0023] Search in a pre-established license plate number database to see if the license plate number of the truck exists. If it exists, determine that the truck is a legal vehicle; otherwise, determine that the truck is an illegal vehicle.

[0024] In some embodiments, the method further includes:

[0025] When it is determined that the truck is an illegal vehicle, output an alarm signal to the car wash area to make the car wash area give an alarm prompt.

[0026] In a second aspect, the present application further provides a tailings transportation control device, including:

[0027] A weight acquisition module, configured to respectively acquire the weight values measured by a first weighbridge and a second weighbridge, where the first weighbridge is used to measure the weight of the truck before loading, and the second weighbridge is used to measure the weight of the truck after loading;

[0028] An actual weight calculation module, configured to calculate the actual loading amount of the truck based on the weight values measured by the first weighbridge and the second weighbridge;

[0029] A vehicle judgment module, configured to acquire an image of the truck taken in the car wash area, and identify the image of the truck to determine whether the truck is a legal vehicle;

[0030] A vehicle cumulative car wash times update module, when it is determined that the truck is a legal vehicle, send a car wash signal to the car wash area, and update the cumulative car wash times of the truck on the current day;

[0031] A tailings transportation data generation module, configured to associate all the actual loading amounts of the truck on the current day with the current cumulative car wash times of the truck to generate a tailings transportation data graph of the truck.

[0032] In a third aspect, the present application further provides an electronic device, including: a processor and a memory;

[0033] The memory stores a computer program executable by the processor;

[0034] When the processor executes the computer program, the steps in the above-mentioned tailings transportation control method are implemented.

[0035] In a fourth aspect, the present application further provides a computer-readable storage medium, where the computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the steps in the above-mentioned tailings transportation control method.

[0036] Compared with the prior art, the tail slag transportation control method, device, electronic device and storage medium provided by the present application first obtain the weight values measured by the first weighbridge and the second weighbridge respectively, where the first weighbridge is used to measure the weight of the truck before loading, and the second weighbridge is used to measure the weight of the truck after loading; then calculate the actual loading amount of the truck based on the weight values measured by the first weighbridge and the second weighbridge; then obtain the truck image taken in the car wash area, and identify the truck image to determine whether the truck is a legal vehicle; then when it is determined that the truck is a legal vehicle, send a car wash signal to the car wash area and update the cumulative car wash times of the truck on the current day; finally, associate all the actual loading amounts of the truck on the current day with the current cumulative car wash times of the truck to generate the tail slag transportation data graph of the truck. The present invention can accurately obtain the weight of the tail slag actually loaded by the truck, and can classify and count the data of each vehicle to generate the tail slag transportation data graph of the truck, which is convenient for the staff to know the specific transportation situation of each truck, so as to adjust the vehicle fleet subsequently. Description of the Drawings

[0037] Figure 1 is a flowchart of the tail slag transportation control method provided by an embodiment of the present application;

[0038] Figure 2 is a flowchart of step S130 in the tail slag transportation control method provided by an embodiment of the present application;

[0039] Figure 3 is a schematic block diagram of the tail slag transportation control device provided by an embodiment of the present application;

[0040] Figure 4 is a schematic block diagram of the computer device provided by an embodiment of the present application. Detailed Embodiments

[0041] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0042] Please refer to Figure 1 , Figure 1 is a schematic flowchart of the tail slag transportation control method provided by an embodiment of the present application. This tail slag transportation control method is applied to a server (which can also be understood as a host computer), and the server is communicatively connected to the first weighbridge, the second weighbridge, the imaging device in the car wash area, and the car wash device in the car wash area.

[0043] Please refer to Figure 1 , and this method includes steps S110 to S150.

[0044] S110. Obtain the weight values measured by the first weighbridge and the second weighbridge respectively, where the first weighbridge is used to measure the weight of the truck before loading, and the second weighbridge is used to measure the weight of the truck after loading.

[0045] In this embodiment, in order to avoid the problem of inaccurate truck weight statistics at present, after the truck enters the construction site, the empty truck weight is measured by the first weighbridge, and then after the truck is loaded, the second weighbridge is used to measure the weight of the truck after loading. Furthermore, the weight of the waste residue actually loaded by the truck can be calculated through the two weight data, avoiding the problem of relying on experience for weight estimation.

[0046] S120. Calculate the actual loading quantity of the truck based on the weight values measured by the first weighbridge and the second weighbridge.

[0047] In this embodiment, when the weight values measured by the first weighbridge and the second weighbridge are obtained, the actual loading quantity of the truck can be obtained according to the difference in weight measured before and after.

[0048] S130. Obtain the truck image taken in the car wash area, and identify the truck image to determine whether the truck is a legal vehicle.

[0049] In this embodiment, since the construction site of hydrometallurgy is dirty and there is a lot of sludge, the vehicle needs to be cleaned before leaving the construction site. In the prior art, the faucet in the car wash area is generally kept open continuously, and the truck is directly washed when it arrives, which undoubtedly wastes water resources. Moreover, there may be some illegal vehicles coming to wash the car, such as some unregistered vehicles. In extreme cases, there may even be illegal vehicles pretending to transport tailings. Therefore, in order to avoid property losses, in this application, after the truck arrives at the car wash area, the legality of the truck is first judged, thus avoiding illegal vehicles from occupying water resources or illegally stealing tailings.

[0050] S140. When it is determined that the truck is a legal vehicle, send a car wash signal to the car wash area and update the cumulative car wash times of the truck on the current day.

[0051] In this embodiment, since the truck is washed every time it transports a trip, in this application embodiment, the cumulative transportation times of the truck on the current day are characterized by recording the car wash times, thus facilitating the staff to know the specific operation conditions of each truck.

[0052] S150. Associate all the actual loading quantities of the truck on the current day with the cumulative car wash times of the truck to generate the tailings transportation data graph of the truck.

[0053] In this embodiment, in order to facilitate the data analysis of a single truck, all the actual loading amounts of the truck on the same day are associated with the number of freight transportation times of the truck and integrated in a tailings transportation data graph. Staff can easily know the daily transportation volume of the truck through the data graph, and then can adjust the overall fleet according to the data.

[0054] In the embodiment of the present application, first, the weight values measured by the first weighbridge and the second weighbridge are respectively obtained. Among them, the first weighbridge is used to measure the weight of the truck before loading, and the second weighbridge is used to measure the weight of the truck after loading; then, based on the weight values measured by the first weighbridge and the second weighbridge, the actual loading amount of the truck is calculated; after that, the truck image taken in the car wash area is obtained, and the truck image is recognized to determine whether the truck is a legal vehicle; after that, when it is determined that the truck is a legal vehicle, a car wash signal is sent to the car wash area, and the cumulative car wash times of the truck on the same day are updated; finally, all the actual loading amounts of the truck on the same day are associated with the current cumulative car wash times of the truck to generate the tailings transportation data graph of the truck. The present invention can accurately obtain the weight of the tailings actually loaded by the truck, and can classify and count the data of each vehicle to generate the tailings transportation data graph of the truck, which is convenient for the staff to know the specific transportation situation of each truck, so as to facilitate the subsequent adjustment of the fleet.

[0055] In some embodiments, step S120 specifically includes:

[0056] Subtract the weight value measured by the first weighbridge from the weight value measured by the second weighbridge to obtain the actual loading amount of the truck.

[0057] In this embodiment, since the first weighbridge measures the weight of the empty truck and the second weighbridge measures the weight after loading, the actual loading amount of the truck can be directly obtained by the difference between the weights measured by the two weighbridges, ensuring the accuracy of the data.

[0058] In some embodiments, please refer to Figure 2 , step S130 specifically includes:

[0059] S131. Obtain the truck image taken in the car wash area, and process the truck image to obtain the region of interest in the truck image, where the license plate of the truck is in the region of interest;

[0060] S132. After preprocessing the region of interest, input the region of interest into a pre-established image recognition model to recognize the license plate number of the truck;

[0061] S133. Based on the license plate number of the truck, determine whether the truck is a legal vehicle.

[0062] In this embodiment, in order to automatically determine whether a truck is illegal, first, the region of interest (ROI) of the truck is automatically recognized, then the ROI is preprocessed to enhance it. After that, the license plate number in the ROI is recognized using a pre-trained and complete image recognition model. Finally, vehicle illegal judgment can be made based on the recognized license plate number.

[0063] In some embodiments, the way to preprocess the ROI is as follows:

[0064] The ROI is successively subjected to grayscale conversion and binarization processing;

[0065] The enhanced processing is performed on the ROI after the binarization processing.

[0066] In this embodiment, since the finally recognized license plate number is generally black, the color image can be converted into a grayscale image to reduce the image dimension and improve the processing speed. Next, the image elements are binarized to highlight the text to be recognized, which can improve the subsequent recognition rate. Second, the image is enhanced by operations such as contrast stretching and resolution improvement to enhance the contrast and clarity of the image and further improve the recognition rate.

[0067] In some embodiments, the image recognition model is a deep learning model or a machine learning model.

[0068] Among them, the machine learning model can include but is not limited to linear regression model, ridge regression model, support vector regression model, support vector machine, decision tree, fully connected neural network, recurrent neural network, etc. The deep learning model can include but is not limited to convolutional neural network, fully convolutional neural network, residual network, etc. In this embodiment, the fully convolutional neural network model is adopted as the image recognition model, such as V-Net neural network model, SN neural network model, MSN neural network model, etc.

[0069] In some embodiments, step S133 specifically includes:

[0070] Check whether the license plate number of the truck exists in a pre-established license plate number database. If it exists, the truck is determined to be a legal vehicle; otherwise, the truck is determined to be an illegal vehicle.

[0071] In this embodiment, a license plate number database is pre-established, and the license plate numbers of legal vehicles are registered in the license plate number database. Therefore, after obtaining the license plate number of the truck, first check whether the license plate exists in the license plate number database. If it exists, it means the truck is a legal vehicle; otherwise, the truck is determined to be an illegal vehicle.

[0072] In some embodiments, the method further includes:

[0073] When it is determined that the truck is an illegal vehicle, an alarm signal is output to the car wash area so that the car wash area issues an alarm prompt.

[0074] In this embodiment, when the truck is an illegal vehicle, by outputting an alarm signal to the car wash area, an alarm prompt is issued from the car wash area, such as emitting an alarm sound, to prompt the staff to verify the vehicle, so as to prevent illegal vehicles from entering and towing the tailings, thereby avoiding unnecessary property losses.

[0075] In some embodiments, the method further includes:

[0076] After the truck finishes washing, determine whether a truck out signal sent by the access control system is received. If not, lock the cumulative car wash times of the truck on the current day until the truck out signal is received.

[0077] In this embodiment, since the number of trips of trucks is generally measured manually at present, some trucks may directly pass through the weighbridge again without leaving the construction site after being detected by the weighbridge. If the staff is unaware of this situation, false statistics may occur, resulting in economic losses. Therefore, in order to avoid such a situation, the embodiment of the present application is provided with a truck out detection mechanism. That is, after the truck finishes washing, if it goes out normally, it will surely trigger the access control detection. When the access control detects the truck going out, a truck out signal is generated. Therefore, it can be determined that the truck has gone out according to this truck out signal. At this time, just wait for the truck to come in next time. When the access control system has not detected the truck going out all the time, the embodiment of the present application will freeze the cumulative car wash times of the truck, that is, freeze the cumulative number of truck trips on the current day. At this time, even if the truck passes the weighbridge or washes the car again, the cumulative car wash times cannot be updated until the access control system detects the truck going out, and then the lock on the cumulative number of truck trips of the truck on the current day is released. In this way, the false statistics caused by the truck passing the weighbridge multiple times without leaving the construction site can be avoided.

[0078] It can be seen that the embodiments of the present method can accurately obtain the weight of the tailings actually loaded by the truck, and can classify and count the data of each vehicle to generate a tailings transportation data graph of the truck, which is convenient for the staff to know the specific transportation situation of each truck, so as to facilitate the subsequent adjustment of the vehicle fleet.

[0079] The embodiment of the present application further provides a tailings transportation control device. The tailings transportation control device is used to execute any one of the foregoing embodiments of the tailings transportation control method, and the tailings transportation control device is applied to the host computer, and the host computer is communicatively connected to the engine control device. Specifically, please refer to FIG. 5. FIG. 5 is a schematic block diagram of the tailings transportation control device 100 provided by the embodiment of the present application.

[0080] As shown in Figure 5, the tail slag transportation control device 100 includes a weight acquisition module 110, an actual weight calculation module 120, a vehicle judgment module 130, a vehicle cumulative car wash times update module 140, and a tail slag transportation data generation module 150.

[0081] The weight acquisition module 110 is used to respectively acquire the weight values measured by the first weighbridge and the second weighbridge. Among them, the first weighbridge is used to measure the weight of the truck before loading, and the second weighbridge is used to measure the weight of the truck after loading.

[0082] The actual weight calculation module 120 is used to calculate the actual loading amount of the truck based on the weight values measured by the first weighbridge and the second weighbridge.

[0083] The vehicle judgment module 130 is used to acquire the image of the truck taken in the car wash area, identify the image of the truck, and judge whether the truck is a legal vehicle.

[0084] When the vehicle cumulative car wash times update module 140 determines that the truck is a legal vehicle, it sends a car wash signal to the car wash area and updates the cumulative car wash times of the truck on the current day.

[0085] The tail slag transportation data generation module 150 is used to associate all the actual loading amounts of the truck on the current day with the current cumulative car wash times of the truck to generate the tail slag transportation data graph of the truck.

[0086] In this embodiment, first, the weight values measured by the first weighbridge and the second weighbridge are respectively acquired. Among them, the first weighbridge is used to measure the weight of the truck before loading, and the second weighbridge is used to measure the weight of the truck after loading; then, based on the weight values measured by the first weighbridge and the second weighbridge, the actual loading amount of the truck is calculated; then, the image of the truck taken in the car wash area is acquired, and the image of the truck is identified to judge whether the truck is a legal vehicle; then, when it is determined that the truck is a legal vehicle, a car wash signal is sent to the car wash area and the cumulative car wash times of the truck on the current day are updated; finally, all the actual loading amounts of the truck on the current day are associated with the current cumulative car wash times of the truck to generate the tail slag transportation data graph of the truck. The present invention can accurately obtain the weight of the tail slag actually loaded by the truck, and can classify and statistically analyze the data of each vehicle to generate the tail slag transportation data graph of the truck, which is convenient for the staff to know the specific transportation situation of each truck, so as to adjust the vehicle fleet subsequently.

[0087] It should be noted that the unit referred to in this application means a series of computer program instruction segments that can complete specific functions. It is more suitable for describing the execution process of tail slag transportation control than a program. For the specific implementation manners of each unit, please refer to the corresponding method embodiment above, and details will not be described here.

[0088] In some embodiments, the device further includes an outbound detection module, configured to determine whether a truck outbound signal sent by an access control system is received after the truck has finished washing. If not, the cumulative number of car washes for the truck on that day is locked until the truck outbound signal is received.

[0089] In some embodiments, the actual weight calculation module 120 is specifically configured to:

[0090] Subtract the weight value measured by the second weighbridge from the weight value measured by the first weighbridge to obtain the actual loading amount of the truck.

[0091] In some embodiments, the vehicle judgment module 130 is specifically configured to:

[0092] Obtain a truck image taken in the car wash area, process the truck image to obtain a region of interest in the truck image, where the license plate of the truck is in the region of interest;

[0093] After preprocessing the region of interest, input the region of interest into a pre-established image recognition model to identify the license plate number of the truck;

[0094] Based on the license plate number of the truck, determine whether the truck is a legal vehicle.

[0095] In some embodiments, the way to preprocess the region of interest is:

[0096] Perform grayscale conversion and binarization processing on the region of interest in sequence;

[0097] Perform enhancement processing on the binarized region of interest.

[0098] In some embodiments, the image recognition model is a deep learning model or a machine learning model.

[0099] In some embodiments, the determining whether the truck is a legal vehicle based on the license plate number of the truck includes:

[0100] Check whether the license plate number of the truck exists in a pre-established license plate number database. If it exists, determine that the truck is a legal vehicle; otherwise, determine that the truck is an illegal vehicle.

[0101] In some embodiments, the device further includes an alarm module, configured to output an alarm signal to the car wash area when it is determined that the truck is an illegal vehicle, so that the car wash area gives an alarm prompt.

[0102] The above-mentioned tail slag transportation control device can be implemented in the form of a computer program, and this computer program can run on the electronic device shown in Figure 6.

[0103] Please refer to Figure 6. Figure 6 is a schematic block diagram of the computer device provided by the embodiment of the present application. The electronic device 500 is a host computer or a server.

[0104] Referring to Figure 6, the electronic device 500 includes a processor 502, a memory, and a network interface 505 connected through a device bus 501. Among them, the memory may include a storage medium 503 and an internal memory 504.

[0105] The storage medium 503 can store an operating system 5031 and a computer program 5032. When the computer program 5032 is executed, it can cause the processor 502 to execute the tail slag transportation control method.

[0106] The processor 502 is used to provide computing and control capabilities to support the operation of the entire electronic device 500.

[0107] The internal memory 504 provides an environment for the operation of the computer program 5032 in the storage medium 503. When the computer program 5032 is executed by the processor 502, it can cause the processor 502 to execute the tail slag transportation control method.

[0108] The network interface 505 is used for network communication, such as providing the transmission of data information, etc. Those skilled in the art can understand that the structure shown in Figure 6 is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the electronic device 500 to which the solution of the present application is applied. The specific electronic device 500 may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0109] Among them, the processor 502 is used to run the computer program 5032 stored in the memory to implement the tail slag transportation control method disclosed in the embodiment of the present application.

[0110] Those skilled in the art can understand that the embodiment of the computer device shown in Figure 6 does not constitute a limitation on the specific composition of the computer device. In other embodiments, the computer device may include more or fewer components than those shown, or combine some components, or have different component arrangements. For example, in some embodiments, the computer device may only include a memory and a processor. In such an embodiment, the structures and functions of the memory and the processor are the same as those shown in the embodiment of Figure 6, and will not be described in detail here.

[0111] It should be understood that in the embodiments of the present application, the processor 502 may be a central processing unit (CPU), and the processor 502 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0112] In another embodiment of the present application, a computer-readable storage medium is provided. The computer-readable storage medium may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the tail slag transportation control method disclosed in the embodiments of the present application is implemented.

[0113] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described devices, apparatuses, and units can refer to the corresponding processes in the foregoing method embodiments, and will not be described herein again. Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been generally described according to their functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0114] In several embodiments provided by the present application, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. Units with the same function may also be integrated into a single unit. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. In addition, the displayed or discussed couplings, direct couplings, or communication connections to each other may be indirect couplings or communication connections through some interfaces, devices, or units, and may also be electrical, mechanical, or other forms of connection.

[0115] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present application.

[0116] In addition, each functional unit in various embodiments of the present application may be integrated into one processing unit, may exist separately as individual physical units, or two or more units may be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0117] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing an electronic device (which may be a personal computer, a background server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), magnetic disks, or optical discs that can store program codes.

[0118] The specific implementation manners of the present application described above do not constitute a limitation on the protection scope of the present application. Any other corresponding changes and deformations made according to the technical concept of the present application should be included in the protection scope of the claims of the present application.

Claims

1. A tailings transportation control method, characterized in that: The steps include: Respectively obtaining weight values ​​measured by a first weighbridge and a second weighbridge, wherein the first weighbridge is used to measure the weight of the truck before loading, and the second weighbridge is used to measure the weight of the truck after loading; Calculating the actual loading volume of the truck based on the weight values ​​measured by the first weighbridge and the second weighbridge; Obtaining a truck image taken in a car wash area, and identifying the truck image to determine whether the truck is a legal vehicle; When the truck is determined to be a legal vehicle, a car wash signal is sent to the car wash area, and the accumulated number of car washes of the truck on that day is updated; All actual loading volumes of the truck on that day are associated with the current cumulative number of truck washes to generate a tailings transportation data graph of the truck.

2. The tailings transportation control method according to claim 1, characterized in that: Also includes: When the truck is washed, it is determined whether a truck exit signal sent by the access control system is received. If not, the accumulated number of truck washes on that day is locked until the truck exit signal is received.

3. The tailings transportation control method according to claim 1, characterized in that: The acquiring of the truck image taken in the car wash area and identifying the truck image to determine whether the truck is a legal vehicle includes: Acquire a truck image taken in a car wash area, and process the truck image to obtain a region of interest in the truck image, wherein the region of interest has a license plate of the truck; After preprocessing the region of interest, the region of interest is input into a pre-established image recognition model to identify the license plate number of the truck; Based on the license plate number of the truck, determine whether the truck is a legal vehicle.

4. The tailings transportation control method according to claim 3, characterized in that: The method of preprocessing the region of interest is: Performing grayscale and binarization processing on the region of interest in sequence; The region of interest after the binarization process is enhanced.

5. The tailings transportation control method according to claim 3, characterized in that: The image recognition model is a deep learning model or a machine learning model.

6. The tailings transportation control method according to claim 3, characterized in that: The determining whether the truck is a legal vehicle based on the license plate number of the truck includes: A search is performed in a pre-established license plate number database to determine whether the license plate number of the truck exists. If so, the truck is determined to be a legal vehicle; otherwise, the truck is determined to be an illegal vehicle.

7. The tailings transportation control method according to claim 1, characterized in that: Also includes: When the truck is determined to be an illegal vehicle, an alarm signal is output to the car wash area, so that the car wash area issues an alarm prompt.

8. A tailings transportation control device, characterized in that: include: A weight acquisition module, used to respectively acquire weight values ​​measured by a first weighbridge and a second weighbridge, wherein the first weighbridge is used to measure the weight of the truck before loading, and the second weighbridge is used to measure the weight of the truck after loading; An actual weight calculation module, configured to calculate the actual loading amount of the truck based on the weight values ​​measured by the first scale and the second scale; A vehicle identification module is used to obtain the truck image taken in the car wash area and identify the truck image to determine whether the truck is a legal vehicle; The vehicle cumulative car wash times updating module sends a car wash signal to the car wash area when the truck is determined to be a legal vehicle, and updates the cumulative car wash times of the truck on that day; The tailings transportation data generation module is used to associate all actual loading quantities of the truck on that day with the current cumulative number of truck washes to generate a tailings transportation data graph for the truck.

9. An electronic device, characterized in that: include: Processor and memory; The memory stores a computer program executable by the processor; When the processor executes the computer program, the steps in the tailings transportation control method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: include: Processor and memory; The memory stores a computer program executable by the processor; When the processor executes the computer program, the steps in the tailings transportation control method according to any one of claims 1 to 7 are implemented.

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