Vehicle comprehensive overload control platform, terminal and storage medium

Abstract

The application relates to the technical field of Internet, and particularly provides a vehicle comprehensive overload management platform, a terminal and a storage medium, which comprise a network interface layer used for information interaction with a vehicle information transmission interface and a law enforcement system; an information input layer used for preprocessing vehicle position data, driving data and vehicle data collected by the network interface layer; a data processing layer used for calling road restriction rules corresponding to a position where a vehicle is located and a position where the vehicle is about to arrive based on the vehicle position data and the driving data, matching the vehicle data with the road restriction rules, and obtaining a rule violation judgment result; and a data output layer used for generating a law enforcement task based on the rule violation judgment result, and calling the network interface layer to distribute the law enforcement task to the law enforcement system. The application improves the comprehensiveness of rule violation management and information security.

Description

Technical Field

[0001] This invention belongs to the field of Internet technology, specifically relating to a comprehensive vehicle overload control platform, terminal, and storage medium. Background Technology

[0002] With the increasing number of vehicles, the existing control method of capturing illegal and irregular behaviors through cameras has management loopholes. A comprehensive overload control platform has become a new direction for traffic management. The existing comprehensive overload control platform operates by receiving vehicle overload data packets uploaded by terminals or the platform, automatically filtering overloaded vehicles, and prioritizing them for processing. Manual review of overloaded vehicle data is also conducted, with a re-review function. During the review, vehicle photos and videos can be zoomed in for viewing. For approved overload data, vehicle owners are notified via SMS, WeChat push notifications, or formatted notices. All penalty documents are automatically generated by the system, inserting on-site photos when constructing PDFs, automatically generating page numbers and pre-defined case numbers. When issuing penalties, entering a few parameters links to other data, completing the registration process. Connecting to high-speed scanners and other scanners allows for the digitization and uploading of various certificates and penalty notices to cloud storage. Based on historical data, data reports of different dimensions can be generated for analysis.

[0003] While existing vehicle weight enforcement platforms have achieved a degree of automation, they still rely on camera images for management. This approach has inherent vulnerabilities: areas not captured by cameras cannot be monitored for violations. Furthermore, the platform's automatic document generation requires access to vehicle owner privacy information, posing a data security risk. Summary of the Invention

[0004] In view of the management and information security vulnerabilities existing in the prior art, the present invention provides a comprehensive vehicle overload control platform, terminal and storage medium to solve the above-mentioned technical problems.

[0005] In a first aspect, the present invention provides a comprehensive vehicle overload control platform, comprising:

[0006] The network interface layer is used to interact with vehicle information transmission interfaces and law enforcement systems.

[0007] The information input layer is used to preprocess the vehicle location data, driving data, and vehicle data collected by the network interface layer.

[0008] The data processing layer retrieves the road restriction rules corresponding to the vehicle's current location and the location it is about to reach based on the vehicle's location and driving data, matches the vehicle data with the road restriction rules, and obtains the violation judgment result.

[0009] The data output layer generates enforcement tasks based on the violation judgment results and calls the network interface layer to distribute the enforcement tasks to the enforcement system.

[0010] In an optional implementation, the network interface layer includes:

[0011] The first network interface is used to establish a network communication connection with the vehicle information transmission interface, which is connected to the vehicle control terminal.

[0012] The second network interface is used to establish a network communication connection with the network interface of the law enforcement system.

[0013] The interface management module is used to parse and package data packets for sending and receiving.

[0014] In an optional implementation, the network interface layer further includes:

[0015] The encryption / decryption module is used to encrypt and decrypt data.

[0016] In an optional implementation, the information input layer includes:

[0017] The format processing module is used to convert vehicle location data, driving data, and vehicle data into a pre-defined standard format.

[0018] The data caching module is used to cache vehicle location data and driving data, marked with the vehicle's IP address and timestamp, in the first storage area, and to cache vehicle data, marked with the vehicle's IP address and timestamp, in the second storage area.

[0019] In an optional implementation, the data processing layer includes:

[0020] The initial screening module is used to compare vehicle data in the second storage area with preset general restriction rules. The vehicle data includes weight data and height data, and the general restriction rules include the maximum weight and maximum height among the restriction rules for all types of roads.

[0021] The result processing module marks vehicle data that exceeds the general restriction rules as abnormal vehicle data, and uses the vehicle IP marked by the abnormal vehicle data as the target IP. It then filters out the vehicle location data and driving data marked with the target IP from the first storage area, and sends the abnormal vehicle data and the corresponding vehicle location data and driving data as violation vehicle data to the data output layer.

[0022] The data clearing module is used to delete vehicle location data and driving data marked with target IPs from the first storage area.

[0023] In an optional implementation, the data processing layer includes:

[0024] The rule storage module is used to assign codes to routes in the road network model and bind the actual restriction rules of the routes to the road codes and store them in a distributed database. The actual restriction rules include speed limits, weight limits and height limits.

[0025] The road matching module is used to retrieve vehicle location data and driving data from the first storage area, obtain the code of the route where the vehicle is located based on the vehicle location data, predict the possible route of the vehicle from the road network model based on the vehicle location data and driving data, and save the code of the predicted route as a prediction code set.

[0026] The rule extraction module is used to extract the corresponding actual restriction rules from the distributed database based on the code of the route where the vehicle is located as the first road rule, extract the corresponding multiple restriction rules from the distributed database based on the prediction code set, and summarize the multiple restriction rules into a prediction rule set;

[0027] The data extraction module extracts vehicle data from the second storage area that has the same vehicle IP address as the vehicle location data and driving data.

[0028] The first matching module is used to compare vehicle location data, driving data and corresponding vehicle data with the first road rules. If the vehicle location data, driving data and corresponding vehicle data exceed the standard data range defined by the first road rules, the vehicle location data, driving data and corresponding vehicle data are determined to be illegal data.

[0029] The second matching module is used to compare the vehicle location data with the road rules in the prediction rule set and output the comparison result if the vehicle location data, driving data and corresponding vehicle data do not exceed the standard data range defined by the first road rule.

[0030] In an optional implementation, the second matching module includes:

[0031] Determine whether there are any violations in the comparison results;

[0032] If there are partial violation judgment results, the vehicle location data, driving data and the corresponding vehicle IP marked by the vehicle data will be output as suspicious targets, and the vehicle location data of the suspicious targets will be monitored in real time.

[0033] If all comparison results are violations, the vehicle location data, driving data, and the corresponding vehicle IP marked with the vehicle data will be output as the IP of the violating vehicle, and the vehicle location data, driving data, and corresponding vehicle data will be sent to the data output layer as violation data.

[0034] If no violation is found in the comparison results, the vehicle location data, driving data, and corresponding vehicle data are determined to be normal data.

[0035] In an optional implementation, the data output layer includes:

[0036] The task processing queue is used to store illegal data received from the data processing layer;

[0037] The task distribution module is used to extract violation data from the task processing queue, parse the vehicle location data in the violation data, and distribute the violation data to the law enforcement system corresponding to the jurisdiction to which the vehicle location data belongs.

[0038] Thirdly, a terminal is provided, including:

[0039] Processor, memory, among which,

[0040] This memory is used to store computer programs.

[0041] The processor is used to retrieve and run the computer program from memory, causing the terminal to perform the terminal method described above.

[0042] Fourthly, a computer storage medium is provided, wherein instructions are stored therein, which, when executed on a computer, cause the computer to perform the methods described in the above aspects.

[0043] The beneficial effects of this invention are that the comprehensive vehicle overload control platform, terminal, and storage medium provided by this invention can improve the efficiency and accuracy of overload control management through functions such as real-time vehicle positioning and tracking, data collection and analysis, intelligent early warning, and decision support. It helps regulatory departments monitor vehicle location and driving conditions in real time, promptly detect and handle issues such as overweight and illegal driving, and improve road safety. Through big data analysis and machine learning algorithms, it can predict potential violations and provide intelligent early warning and decision support. Simultaneously, the platform also provides a mobile application, facilitating managers and law enforcement personnel to view vehicle information, receive early warning information, and issue instructions in real time, improving work efficiency. The implementation of the comprehensive overload control platform can also optimize transportation efficiency, reduce the occurrence of overloaded vehicles, improve traffic flow and logistics efficiency, and promote economic development and sustainable transportation.

[0044] Furthermore, the design principle of this invention is reliable, the structure is simple, and it has a very wide range of application prospects. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is a schematic block diagram of a vehicle comprehensive overload control platform according to an embodiment of the present invention.

[0047] Figure 2 This is a schematic diagram of the structure of a terminal provided in an embodiment of the present invention. Detailed Implementation

[0048] To enable those skilled in the art to better understand the technical solutions of this invention, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this invention.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.

[0050] To facilitate understanding of the present invention, the following description further illustrates the principle of the integrated vehicle overload control platform of the present invention, combined with the process of managing illegal vehicles in the embodiments.

[0051] For details, please refer to Figure 1 The comprehensive vehicle overload control platform includes:

[0052] The network interface layer is used to interact with vehicle information transmission interfaces and law enforcement systems.

[0053] The information input layer is used to preprocess the vehicle location data, driving data, and vehicle data collected by the network interface layer.

[0054] The data processing layer retrieves the road restriction rules corresponding to the vehicle's current location and the location it is about to reach based on the vehicle's location and driving data, matches the vehicle data with the road restriction rules, and obtains the violation judgment result.

[0055] The data output layer generates enforcement tasks based on the violation judgment results and calls the network interface layer to distribute the enforcement tasks to the enforcement system.

[0056] The network interface layer includes:

[0057] The first network interface is used to establish a network communication connection with the vehicle information transmission interface, which is connected to the vehicle control terminal.

[0058] The second network interface is used to establish a network communication connection with the network interface of the law enforcement system.

[0059] The interface management module is used to parse and package data packets for sending and receiving.

[0060] The network interface layer is not actually part of the Internet Protocol (IP) suite, but it's the method by which data packets are transmitted from the network layer of one device to the network layer of another. This process can be controlled in the network interface card's software driver, or in firmware or a dedicated chip. It performs data link functions such as adding headers in preparation for transmission and actually sending the data over the physical medium. At the other end, the link layer receives data frames, removes headers, and forwards the received packets to the network layer.

[0061] To enhance data security, the network interface layer also includes:

[0062] The encryption / decryption module is used to encrypt and decrypt data. It includes encryption and decryption algorithms, employing asymmetric encryption, and also stores public and private keys.

[0063] The vehicle control terminal uses GPS technology to obtain the vehicle's real-time location information. The onboard terminal equipment is equipped with a GPS receiver and periodically uploads location data to the platform. The platform uses a Geographic Information System (GIS) to visualize and monitor the vehicle's location on a map in real time. The onboard terminal equipment is equipped with sensors to collect data such as the vehicle's weight, speed, and route in real time. The collected data is uploaded to the central server of the overload control platform via the onboard communication module. Data transmission can utilize mobile communication networks (such as 4G, 5G) or other communication technologies (such as LoRa, NB-IoT).

[0064] The information input layer includes:

[0065] The format processing module is used to convert vehicle location data, driving data, and vehicle data into a pre-defined standard format; the standard format is set based on the requirements of the data processing layer.

[0066] The data caching module is used to cache vehicle location data and driving data, labeled with the vehicle's IP address and timestamp, in the first storage area, and to cache vehicle data, labeled with the vehicle's IP address and timestamp, in the second storage area. The caching medium uses random access memory, which improves the data retrieval efficiency of the data processing layer.

[0067] The data processing layer includes:

[0068] The initial screening module is used to compare vehicle data in the second storage area with preset general restriction rules. The vehicle data includes weight data and height data, and the general restriction rules include the maximum weight and maximum height among the restriction rules for all types of roads.

[0069] The result processing module marks vehicle data that exceeds the general restriction rules as abnormal vehicle data, and uses the vehicle IP marked by the abnormal vehicle data as the target IP. It then filters out the vehicle location data and driving data marked with the target IP from the first storage area, and sends the abnormal vehicle data and the corresponding vehicle location data and driving data as violation vehicle data to the data output layer.

[0070] The initial screening module and the result processing module can perform initial screening of vehicles that are obviously in violation of regulations. This saves the subsequent steps of road matching and rule extraction for this part of the vehicle data and reduces the amount of computation.

[0071] The data clearing module is used to delete vehicle location data and driving data marked with target IPs from the first storage area;

[0072] The rule storage module is used to assign codes to routes in the road network model and bind the actual restriction rules of the routes to the road codes and store them in a distributed database. The actual restriction rules include speed limits, weight limits and height limits.

[0073] The road matching module is used to retrieve vehicle location data and driving data from the first storage area, obtain the code of the route where the vehicle is located based on the vehicle location data, predict the possible route of the vehicle from the road network model based on the vehicle location data and driving data, and save the code of the predicted route as a prediction code set.

[0074] The rule extraction module is used to extract the corresponding actual restriction rules from the distributed database based on the code of the route where the vehicle is located as the first road rule, extract the corresponding multiple restriction rules from the distributed database based on the prediction code set, and summarize the multiple restriction rules into a prediction rule set;

[0075] The data extraction module extracts vehicle data from the second storage area that has the same vehicle IP address as the vehicle location data and driving data.

[0076] The first matching module is used to compare vehicle location data, driving data and corresponding vehicle data with the first road rules. If the vehicle location data, driving data and corresponding vehicle data exceed the standard data range defined by the first road rules, the vehicle location data, driving data and corresponding vehicle data are determined to be illegal data.

[0077] The second matching module is used to compare the vehicle location data with the road rules in the prediction rule set and output the comparison result if the vehicle location data, driving data and corresponding vehicle data do not exceed the standard data range defined by the first road rule.

[0078] The second matching module includes:

[0079] Determine whether there are any violations in the comparison results;

[0080] If there are partial violation judgment results, the vehicle location data, driving data and the corresponding vehicle IP marked by the vehicle data will be output as suspicious targets, and the vehicle location data of the suspicious targets will be monitored in real time; for example, the original data is collected once every 1 hour, and the data for the suspicious targets is collected once every 10 minutes.

[0081] If all comparison results are violations, the vehicle location data, driving data, and the corresponding vehicle IP marked with the vehicle data will be output as the IP of the violating vehicle, and the vehicle location data, driving data, and corresponding vehicle data will be sent to the data output layer as violation data.

[0082] If no violation is found in the comparison results, the vehicle location data, driving data, and corresponding vehicle data are determined to be normal data.

[0083] The overload control platform uses big data technology to process and analyze vehicle data in real time. It employs machine learning algorithms to build models trained on historical data to identify anomalies and violations. Real-time and historical data are used for prediction and decision support, such as predicting potentially overloaded vehicles and recommending appropriate enforcement measures.

[0084] The data output layer includes:

[0085] The task processing queue is used to store illegal data received from the data processing layer;

[0086] The task distribution module is used to extract violation data from the task processing queue, parse the vehicle location data in the violation data, and distribute the violation data to the law enforcement system corresponding to the jurisdiction to which the vehicle location data belongs.

[0087] The law enforcement system can be a developed mobile application for use by managers and law enforcement officers. The application can display real-time vehicle information, violation alerts, and historical data queries. It also supports law enforcement officers in issuing instructions and generating enforcement reports through the application.

[0088] Furthermore, the platform integrates with other relevant systems (such as traffic management systems and law enforcement systems) to achieve information sharing and collaborative work. It provides open interfaces (APIs) for third-party system integration. The platform should possess good scalability to adapt to the ever-increasing number of vehicles and the demands of overloading control.

[0089] Figure 2 This is a schematic diagram of the structure of a terminal 200 provided in an embodiment of the present invention. The terminal 200 can be used to run the vehicle comprehensive overload control platform provided in the embodiment of the present invention.

[0090] The terminal 200 may include a processor 210, a memory 220, and a communication module 230. These components communicate via one or more buses. Those skilled in the art will understand that the server structure shown in the figure does not constitute a limitation of the present invention. It may be a bus topology or a star topology, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0091] The memory 220 can be used to store execution instructions of the processor 210. The memory 220 can be implemented using any type of volatile or non-volatile storage terminal or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. When the execution instructions in the memory 220 are executed by the processor 210, the terminal 200 is able to perform some or all of the steps in the above method embodiments.

[0092] The processor 210 serves as the control center of the storage terminal, connecting various parts of the electronic terminal via various interfaces and lines. It executes software programs and / or modules stored in the memory 220, and calls data stored in the memory to perform various functions of the electronic terminal and / or process data. The processor can be composed of integrated circuits (ICs), such as a single packaged IC or multiple packaged ICs with the same or different functions connected together. For example, the processor 210 may consist only of a central processing unit (CPU). In this embodiment of the invention, the CPU may have a single processing core or include multiple processing cores.

[0093] The communication module 230 is used to establish a communication channel, enabling the storage terminal to communicate with other terminals. It receives user data sent by other terminals or sends user data to other terminals.

[0094] The present invention also provides a computer storage medium, wherein the computer storage medium may store a program, which, when executed, may include some or all of the steps provided in the embodiments of the present invention. The storage medium may be a magnetic disk, an optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0095] Therefore, the integrated overload control platform based on Internet technology of this invention can improve the efficiency and accuracy of overload control management through functions such as real-time vehicle positioning and tracking, data collection and analysis, intelligent early warning, and decision support. It helps regulatory departments monitor vehicle location and driving conditions in real time, promptly detect and handle issues such as overweight and illegal driving, and improve road safety. Through big data analysis and machine learning algorithms, it can predict potential violations and provide intelligent early warning and decision support. Simultaneously, the platform also provides a mobile application, allowing managers and law enforcement personnel to view vehicle information, receive early warning information, and issue instructions in real time, improving work efficiency. The implementation of the integrated overload control platform can also optimize transportation efficiency, reduce the occurrence of overloaded vehicles, improve traffic flow and logistics efficiency, and promote economic development and sustainable transportation. The technical effects achieved in this embodiment can be found in the description above and will not be repeated here.

[0096] Those skilled in the art will clearly understand that the techniques in the embodiments of the present invention can be implemented using software and necessary general-purpose hardware platforms. Based on this understanding, the technical solutions in the embodiments of the present invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, or any other medium capable of storing program code. It includes several instructions to cause a computer terminal (which may be a personal computer, a server, or a second terminal, a network terminal, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention.

[0097] The same or similar parts between the various embodiments in this specification can be referred to mutually. In particular, the terminal embodiments are basically similar to the method embodiments, so the description is relatively simple, and the relevant parts can be referred to the description in the method embodiments.

[0098] In the embodiments provided by this invention, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between systems or modules may be electrical, mechanical, or other forms.

[0099] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0100] In addition, the functional modules in the various embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0101] Although the present invention has been described in detail with reference to the accompanying drawings and preferred embodiments, the invention is not limited thereto. Various equivalent modifications or substitutions can be made to the embodiments of the invention by those skilled in the art without departing from the spirit and essence of the invention, and such modifications or substitutions should all be within the scope of the invention. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the invention should also be covered within the protection scope of the invention. Therefore, the protection scope of the invention should be determined by the scope of the claims.

Claims

1. A comprehensive vehicle overload control platform, characterized in that, include: The network interface layer is used to interact with vehicle information transmission interfaces and law enforcement systems. The information input layer is used to preprocess the vehicle location data, driving data, and vehicle data collected by the network interface layer. The data processing layer retrieves the road restriction rules corresponding to the vehicle's current location and the location it is about to reach based on the vehicle's location and driving data, matches the vehicle data with the road restriction rules, and obtains the violation judgment result. The data output layer generates enforcement tasks based on the violation judgment results and calls the network interface layer to distribute the enforcement tasks to the enforcement system; The data processing layer includes: The rule storage module is used to assign codes to routes in the road network model and bind the actual restriction rules of the routes to the road codes and store them in a distributed database. The actual restriction rules include speed limits, weight limits and height limits. The road matching module is used to retrieve vehicle location data and driving data from the first storage area, obtain the code of the route where the vehicle is located based on the vehicle location data, predict the possible route of the vehicle from the road network model based on the vehicle location data and driving data, and save the code of the predicted route as a prediction code set. The rule extraction module is used to extract the corresponding actual restriction rules from the distributed database based on the code of the route where the vehicle is located as the first road rule, extract the corresponding multiple restriction rules from the distributed database based on the prediction code set, and summarize the multiple restriction rules into a prediction rule set; The data extraction module extracts vehicle data from the second storage area that has the same vehicle IP address as the vehicle location data and driving data. The first matching module is used to compare vehicle location data, driving data and corresponding vehicle data with the first road rules. If the vehicle location data, driving data and corresponding vehicle data exceed the standard data range defined by the first road rules, the vehicle location data, driving data and corresponding vehicle data are determined to be illegal data. The second matching module is used to compare the vehicle location data with the road rules in the prediction rule set and output the comparison result if the vehicle location data, driving data and corresponding vehicle data do not exceed the standard data range defined by the first road rule.

2. The vehicle comprehensive overload control platform according to claim 1, characterized in that, The network interface layer includes: The first network interface is used to establish a network communication connection with the vehicle information transmission interface, which is connected to the vehicle control terminal. The second network interface is used to establish a network communication connection with the network interface of the law enforcement system. The interface management module is used to parse and package data packets for sending and receiving.

3. The vehicle comprehensive overload control platform according to claim 2, characterized in that, The network interface layer also includes: The encryption / decryption module is used to encrypt and decrypt data.

4. The vehicle comprehensive overload control platform according to claim 1, characterized in that, The information input layer includes: The format processing module is used to convert vehicle location data, driving data, and vehicle data into a pre-defined standard format. The data caching module is used to cache vehicle location data and driving data, marked with the vehicle's IP address and timestamp, in the first storage area, and to cache vehicle data, marked with the vehicle's IP address and timestamp, in the second storage area.

5. The vehicle integrated overload control platform according to claim 4, characterized in that, The data processing layer includes: The initial screening module is used to compare vehicle data in the second storage area with preset general restriction rules. The vehicle data includes weight data and height data, and the general restriction rules include the maximum weight and maximum height among the restriction rules for all types of roads. The result processing module marks vehicle data that exceeds the general restriction rules as abnormal vehicle data, and uses the vehicle IP marked by the abnormal vehicle data as the target IP. It then filters out the vehicle location data and driving data marked with the target IP from the first storage area, and sends the abnormal vehicle data and the corresponding vehicle location data and driving data as violation vehicle data to the data output layer. The data clearing module is used to delete vehicle location data and driving data marked with target IPs from the first storage area.

6. The vehicle comprehensive overload control platform according to claim 1, characterized in that, The second matching module includes: Determine whether there are any violations in the comparison results; If there are partial violation judgment results, the vehicle location data, driving data and the corresponding vehicle IP marked by the vehicle data will be output as suspicious targets, and the vehicle location data of the suspicious targets will be monitored in real time. If all comparison results are violations, the vehicle location data, driving data, and the corresponding vehicle IP marked with the vehicle data will be output as the IP of the violating vehicle, and the vehicle location data, driving data, and corresponding vehicle data will be sent to the data output layer as violation data. If no violation is found in the comparison results, the vehicle location data, driving data, and corresponding vehicle data are determined to be normal data.

7. The vehicle integrated overload control platform according to claim 1, characterized in that, The data output layer includes: The task processing queue is used to store illegal data received from the data processing layer; The task distribution module is used to extract violation data from the task processing queue, parse the vehicle location data in the violation data, and distribute the violation data to the law enforcement system corresponding to the jurisdiction to which the vehicle location data belongs.

8. A terminal, characterized in that, include: The memory is used to store the program of the vehicle integrated overload control platform; A processor for running the vehicle integrated overload control platform as described in any one of claims 1-7.

9. A computer-readable storage medium storing a computer program, characterized in that, The readable storage medium stores a program for a comprehensive vehicle overload control platform, which, when executed by a processor, implements the comprehensive vehicle overload control platform as described in any one of claims 1-7.

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