Vehicle positioning equipment monitoring method, device and equipment and storage medium

Abstract

The invention provides a vehicle positioning equipment monitoring method and device, equipment and a storage medium. The method comprises the following steps: in a monitoring period, obtaining all positioning data generated by vehicle positioning equipment and vehicle snapshot data recorded by road monitoring equipment of a vehicle; and judging whether the vehicle positioning equipment is abnormal or not according to all the obtained positioning data and the vehicle snapshot data. Compared with the prior art which only depends on simple signal detection, equipment parameter monitoring or manual inspection, deep data mining is carried out on the vehicle positioning data and the vehicle snapshot data, the data feature mode can be extracted more comprehensively and deeply, the conditions adopting fine and hidden refitting means can be effectively recognized, and the recognition efficiency of the vehicle positioning data and the vehicle snapshot data is improved. And the accuracy of monitoring and positioning the abnormity of the equipment is improved.

Description

Technical Field

[0001] The present application relates to the field of intelligent transportation technology, and specifically to a vehicle positioning device monitoring method, device, equipment and storage medium. Background Art

[0002] Traditionally, the monitoring of operating vehicle positioning equipment mainly relies on simple signal detection and basic location data reading. For example, by receiving the location coordinate information sent by the positioning device and comparing it with the preset route or area, it is possible to determine whether the vehicle is driving normally. However, this method is difficult to directly determine whether the positioning device has been modified, and the problem can only be detected when there is an obvious abnormality in the location data (such as extreme cases such as vehicle teleportation). There are also some detection methods based on device parameters. For example, by monitoring the signal strength and abnormal information parameters of the positioning device, when these parameters exceed the normal range, it may indicate that the device is abnormal. However, this method may not be able to accurately identify some carefully modified devices, because the modifier may simulate the normal device parameter range.

[0003] In some scenarios, manual inspections are still used to check the status of the positioning equipment on operating vehicles. Staff members directly inspect the device's appearance, connection wiring, and other physical features to determine if the equipment has been modified. However, manual inspections are inefficient and rely on the inspector's experience and expertise, making them prone to missed detections.

[0004] As can be seen, existing monitoring technologies for operating vehicle positioning devices, such as traditional signal detection and location data reading, as well as detection methods based on device parameters, have limited ability to identify complex illegal modifications. Existing technologies are particularly difficult to effectively identify modifications that are carefully designed to mimic normal device parameters or that do not produce obvious location data anomalies. Due to periodic manual inspections, there can be a significant time lag between the modification of positioning devices and their detection. During this time, operating vehicles may be out of effective supervision, posing safety hazards or violating operating regulations. Summary of the Invention

[0005] The purpose of this application is to provide a vehicle positioning device monitoring method and device, an electronic device and a computer-readable storage medium.

[0006] A first aspect of the present application provides a vehicle positioning device monitoring method, comprising:

[0007] During a monitoring period, all positioning data generated by the vehicle positioning device and the vehicle capture data recorded by the road monitoring device are obtained;

[0008] Based on all the acquired positioning data and the vehicle captured data, it is determined whether the vehicle positioning device has any abnormality.

[0009] In a possible implementation, determining whether an abnormality occurs in the vehicle positioning device based on all acquired positioning data and the vehicle captured data includes:

[0010] Check each piece of positioning data in chronological order, and when the positioning data changes, check whether the time difference between the current positioning data and the previous positioning data is greater than a preset time length;

[0011] If the time difference between the current positioning data and the previous positioning data is greater than the preset time length, and there are more than a preset number of captured data in the vehicle captured data between the positioning moments of the current positioning data and the previous positioning data, it is determined that the vehicle has a positioning device offline abnormality.

[0012] In a possible implementation, determining whether an abnormality occurs in the vehicle positioning device based on all acquired positioning data and the vehicle captured data includes:

[0013] Check each piece of positioning data in chronological order, and count if the current piece of positioning data is inconsistent with the previous piece of positioning data;

[0014] If the time difference between the first positioning data and the last positioning data is greater than the preset time length, and the count is less than or equal to the preset value, check whether there is more than a preset number of captured data in the vehicle captured data;

[0015] If the captured data of the vehicle include captured data of a number greater than a preset number, it is determined that there is an abnormal modification of the positioning device of the vehicle.

[0016] In a possible implementation, the road monitoring equipment includes: electronic checkpoint capture equipment, toll station monitoring equipment and ETC monitoring equipment.

[0017] In a possible implementation, the step of obtaining all positioning data generated by the vehicle positioning device and the vehicle captured data recorded by the road monitoring device includes:

[0018] Acquire and merge vehicle data captured by ETC monitoring equipment, toll booth monitoring equipment, and electronic card capture equipment according to license plate number, license plate color, capture time, and vehicle type to obtain vehicle capture data;

[0019] Obtain all data generated by the vehicle positioning device and filter out the positioning data that contains the license plate number, longitude and latitude, and positioning time.

[0020] A second aspect of the present application provides a vehicle positioning device monitoring device, comprising:

[0021] An acquisition module is used to acquire all positioning data generated by the vehicle positioning device and the vehicle capture data recorded by the road monitoring device within a monitoring period;

[0022] The judgment module is used to judge whether an abnormality occurs in the vehicle positioning device based on all the acquired positioning data and the vehicle captured data.

[0023] In a possible implementation, the judgment module is specifically configured to:

[0024] Check each piece of positioning data in chronological order, and when the positioning data changes, check whether the time difference between the current positioning data and the previous positioning data is greater than a preset time length;

[0025] If the time difference between the current positioning data and the previous positioning data is greater than the preset time length, and there are more than a preset number of captured data in the vehicle captured data between the positioning moments of the current positioning data and the previous positioning data, it is determined that the vehicle has a positioning device offline abnormality.

[0026] In a possible implementation, the judgment module is specifically configured to:

[0027] Check each piece of positioning data in chronological order, and count if the current piece of positioning data is inconsistent with the previous piece of positioning data;

[0028] If the time difference between the first positioning data and the last positioning data is greater than the preset time length, and the count is less than or equal to the preset value, check whether there is more than a preset number of captured data in the vehicle captured data;

[0029] If the captured data of the vehicle include captured data of a number greater than a preset number, it is determined that there is an abnormal modification of the positioning device of the vehicle.

[0030] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the vehicle positioning device monitoring method described in the first aspect of the present application.

[0031] A fourth aspect of the present application provides a computer-readable storage medium having computer-readable instructions stored thereon, wherein the computer-readable instructions can be executed by a processor to implement the vehicle positioning device monitoring method described in the first aspect of the present application.

[0032] The vehicle positioning equipment monitoring method, apparatus, equipment, and storage medium provided in this application obtain, within a monitoring cycle, all positioning data generated by the vehicle positioning equipment and the vehicle snapshot data recorded by the road monitoring equipment for the vehicle; based on all the acquired positioning data and the vehicle snapshot data, it is determined whether the vehicle positioning equipment has an abnormality. Compared with previous technologies that only rely on simple signal detection, equipment parameter monitoring, or manual inspection, this application conducts in-depth data mining on vehicle positioning data and vehicle snapshot data, and can extract data feature patterns more comprehensively and deeply. It can effectively identify those situations where sophisticated and covert modification methods are used, thereby improving the accuracy of monitoring abnormalities of positioning equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present application. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0034] Figure 1 A flow chart of a vehicle positioning device monitoring method provided by the present application is shown;

[0035] Figure 2 The flowchart of data preprocessing provided by the present application is shown;

[0036] Figure 3 A flowchart provided by the present application is shown for determining whether a vehicle positioning device has an offline abnormality or a modification abnormality;

[0037] Figure 4 A schematic diagram of the structure of a vehicle positioning equipment monitoring device provided by the present application is shown;

[0038] Figure 5 A schematic structural diagram of an electronic device provided in this application is shown. DETAILED DESCRIPTION

[0039] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0040] It should be noted that, unless otherwise specified, the technical or scientific terms used in this application should have the common meanings understood by those skilled in the art to which this application belongs.

[0041] In addition, the terms "first" and "second" are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements, but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0042] The problems and shortcomings of the existing technology of vehicle positioning equipment monitoring are as follows:

[0043] a. Limited detection accuracy

[0044] Existing technologies have significant limitations in detecting modifications to operating vehicle positioning equipment. Whether using traditional location data monitoring or device parameter-based detection, it's difficult to comprehensively and accurately identify all types of modifications. For example, existing detection methods may be unable to effectively detect some covert modifications that utilize advanced technologies, such as those that alter signal transmission methods through specialized circuits while maintaining signal strength.

[0045] b. Insufficient timeliness of testing

[0046] Traditional monitoring methods often fail to detect positioning device modifications promptly. Because these methods rely on obvious data anomalies or periodic manual inspections, there can be a significant lag between device modifications and detection. During this time, operating vehicles can lose effective oversight, posing safety risks or violating operational regulations.

[0047] c. Lack of in-depth data analysis

[0048] Most existing detection methods fail to fully leverage data mining technology for in-depth analysis. Commercial vehicles generate massive amounts of data during operation, including location data, equipment operating parameters, vehicle driving status, and other aspects. However, existing detection technologies simply process this data at the surface level, failing to deeply explore the connections and underlying patterns within the data. This results in an inability to extract key information from this massive amount of data that accurately reflects the modification of positioning equipment.

[0049] In view of this, embodiments of the present application provide a vehicle positioning device monitoring method and apparatus, an electronic device, and a computer-readable storage medium, which are described below with reference to the accompanying drawings.

[0050] Figure 1The flowchart of a vehicle positioning device monitoring method provided by an embodiment of the present application is shown. The execution subject of this embodiment may be a vehicle management system, which may be implemented based on software and / or hardware, and this application does not limit this. Figure 1 As shown, the method specifically includes the following steps:

[0051] S101. Acquire all positioning data generated by a vehicle positioning device and vehicle capture data recorded by a road monitoring device within a monitoring period;

[0052] Specifically, the monitoring period can be set to hours, days, weeks, months, etc., which is not limited in this application.

[0053] Specifically, each piece of positioning data includes data such as license plate number, longitude and latitude, and positioning time, such as GPS data.

[0054] Specifically, road monitoring equipment refers to equipment installed on the road that can capture vehicle information, which can include: electronic card gate capture equipment, toll station monitoring equipment and electronic non-stop toll collection ETC monitoring equipment.

[0055] The above step S101 can be specifically implemented as follows:

[0056] Acquire and merge vehicle data captured by ETC monitoring equipment, toll booth monitoring equipment, and electronic card capture equipment according to license plate number, license plate color, capture time, and vehicle type to obtain vehicle capture data;

[0057] Obtain all data generated by the vehicle positioning device and filter out the positioning data that contains the license plate number, longitude and latitude, and positioning time.

[0058] Specifically, after obtaining the vehicle data and vehicle positioning data captured by each device, such as Figure 2 As shown, the data is first preprocessed as follows:

[0059] 1. Electronic checkpoint data processing: Vehicle data captured by electronic checkpoints may have problems such as misidentification or failure to identify license plates, or incorrect format of identified license plates. Therefore, the license plates need to be filtered and formatted, and the capture time needs to be processed. The standard format is Beijing time.

[0060] 2. Toll station vehicle data processing: There is a problem of inconsistent vehicle passing time formats in toll station vehicle data. The passing time format needs to be unified, and the standard format is Beijing time.

[0061] 3. ETC vehicle data processing: ETC vehicle data has the problem of inconsistent formats of vehicle passing time. The format of vehicle passing time needs to be unified, and the standard format is Beijing time.

[0062] 4. Vehicle positioning data processing: The latitude and longitude in the positioning data are not in floating point format and need to be processed into standard latitude and longitude formats. The positioning time is a timestamp and needs to be standardized in Beijing time.

[0063] For example, the license plate color is processed according to the Ministry of Transport Standard (JT / T 697.7-2014), such as "blue" is processed into "1" and "yellow" is processed into "2"; the positioning latitude and longitude data are uniformly processed into floating-point types, such as processing (114279508, 30601878) into (114.279508, 30.601878), and the positioning time is converted into Beijing time and the format is unified, such as processing 1727798399000 into "2024-10-01 23:59:59"; filter out data with empty license plate numbers or empty recording times; use regular expressions to verify whether the license plate numbers meet the basic specifications, filter out data that meet the regular expressions, convert the recording time into Beijing time and unify the format, such as converting "2024 / 10 / 01 12:30:30" into "2024-10-01 12:30:30”.

[0064] After the preprocessing is completed, the vehicle data captured by each device are merged according to the license plate number, license plate color, capture time, and vehicle type, and the positioning data that contains the license plate number, longitude and latitude, and positioning time are filtered out from the vehicle positioning data.

[0065] S102: Determine whether an abnormality occurs in the vehicle positioning device based on all acquired positioning data and the vehicle captured data.

[0066] The abnormality of the vehicle positioning device includes an offline abnormality and a modification abnormality. Based on all the acquired positioning data and the vehicle captured data, it can be determined whether the vehicle positioning device has an offline abnormality or a modification abnormality.

[0067] In some embodiments, the steps for determining whether the vehicle positioning device has an offline abnormality are as follows:

[0068] Check each piece of positioning data in chronological order. When the positioning data changes, check whether the time difference between the current positioning data and the previous positioning data is greater than a preset time length; the preset time length can be 10-20 minutes, for example, 15 minutes;

[0069] If the time difference between the current and previous positioning data is greater than a preset time period, and the vehicle captured data between the current and previous positioning data contains more than a preset number of captured data, then it is determined that the vehicle has a positioning device offline anomaly. The preset number can be 3-8, for example, 5.

[0070] Specifically, to facilitate inspection, a normalization method can be used to generate a digital signature for each piece of positioning data. To generate a digital signature for positioning data: retain n decimal places according to the latitude and longitude, divide the decimal point into x equal digits, and then convert the single-precision floating point number into an integer using the IEEE 754 floating-point standard and bit shift operations. For example, 114.279508 and 30.601878 will be converted to 4820134848426725537.

[0071] Check whether the digital signature of the current positioning data is consistent with the digital signature of the previous positioning data. When the two are inconsistent, check whether the difference between the positioning time of the current positioning data and the positioning time of the previous positioning data is greater than 15 minutes to determine whether the positioning device has been offline for more than 15 minutes. When the positioning time difference of the two positioning data is greater than 15 minutes, it means that the positioning device has been offline for more than 15 minutes. Then query the vehicle capture data to see whether there are more than 5 capture records or more than 5 capture records for this vehicle during the period of more than 15 minutes when the positioning device is offline. If so, it is considered that the vehicle has a positioning device offline abnormality. In other words, if the offline behavior of the vehicle positioning device is normal, the vehicle should not move and will not be captured during the offline period. If it is captured during the offline period, it can be considered that the vehicle has a positioning device offline abnormality.

[0072] In some embodiments, the steps for determining whether a modification anomaly occurs in the vehicle positioning device are as follows:

[0073] Check each piece of positioning data in chronological order, and count if the current piece of positioning data is inconsistent with the previous piece of positioning data;

[0074] If the time difference between the first positioning data and the last positioning data is greater than the preset time length, and the count is less than or equal to the preset value, check whether there is more than the preset number of captured data in the vehicle captured data; the preset time length can be set to 15 minutes, and the preset value can be set to 2;

[0075] If the number of captured data items in the captured data item is greater than a preset number, it is determined that the vehicle has a positioning device modification anomaly. The preset number can be set to 2-5, for example, 5.

[0076] It is worth mentioning that the number of captured data set in the positioning device modification abnormality judgment is usually smaller than the number of captured data set in the positioning device offline abnormality judgment.

[0077] Specifically, to facilitate inspection, a digital signature can be generated for each piece of positioning data, and the digital signature of the current piece of positioning data can be checked to see if it is consistent with the digital signature of the previous piece of positioning data. If they are inconsistent, a count is performed. For example, if the digital signature of the second piece of positioning data is inconsistent with the digital signature of the first piece of positioning data, the count is 1; if the digital signature of the third piece of positioning data is consistent with the digital signature of the second piece of positioning data, the count is not performed; if the digital signature of the fourth piece of positioning data is inconsistent with the digital signature of the third piece of positioning data, the count is 2, and so on.

[0078] If the time difference between the first positioning data and the last positioning data is greater than 15 minutes, it means that the vehicle positioning device has an effective online behavior during this period. If the count is less than or equal to 2, it means that the positioning device has never moved effectively since it went online. Check the vehicle snapshot record to see if there is a snapshot record that matches the license plate number between the initial positioning time and the last positioning time. If there are more than 5 snapshot data, it means that the vehicle has a positioning device modification anomaly. In other words, more than 5 snapshot data indicate that the vehicle is moving normally, but the positioning data changes less than or equal to 2 times within more than 15 minutes indicate that the positioning device has never moved effectively, and it can be considered that the vehicle has a positioning device modification anomaly. For ease of understanding, this application provides the following Figure 3 The flowchart for determining whether the vehicle positioning device has an offline abnormality or a modification abnormality is shown in order to simplify the description. Figure 3 GPS refers to vehicle positioning data; offline time refers to the positioning time of the previous GPS data, and online time refers to the positioning time of the current GPS data; first online time refers to the positioning time of the first positioning data, and last offline time refers to the positioning time of the last positioning data.

[0079] The vehicle positioning device monitoring method provided in this application can fully utilize existing equipment and data such as vehicle positioning data, vehicle toll station records, vehicle ETC records, and the already widespread electronic checkpoints to obtain accurate, low-cost, and flexibly and efficiently deployable data to determine whether the operating vehicle positioning device has been modified. This method uses vehicle positioning data to identify vehicle positioning device anomalies, accurately detecting vehicles that attempt to evade supervision by tampering with or disabling the positioning device. This technical application greatly improves the efficiency of law enforcement personnel by reducing the frequency with which they need to personally inspect each vehicle.

[0080] The vehicle positioning device monitoring method provided by this application has the following beneficial effects:

[0081] More accurate modification detection: This application, based on deep data mining, can comprehensively analyze multiple aspects of data generated during the operation of commercial vehicles, including location data, equipment operating parameters, and vehicle driving status. Compared with previous technologies that relied solely on simple signal detection, equipment parameter monitoring, or manual inspection, this technology can more comprehensively and deeply extract data feature patterns. It can effectively identify cases where sophisticated and covert modifications are used (such as changing the signal transmission method while maintaining normal signal strength), thereby improving the accuracy of detecting and positioning equipment modifications.

[0082] Real-time and efficient supervision: This application establishes an efficient data processing and analysis mechanism capable of processing vehicle operation data in real time. This overcomes the lag in supervision caused by previous technologies that relied on obvious data anomalies or periodic manual inspections. This allows for immediate detection of positioning device modifications, reducing the window of time when vehicles are out of effective supervision and ensuring operational safety and timely management.

[0083] Deep Data Mining: This application leverages deep data mining algorithms to deeply explore the inherent connections between various types of operational vehicle data. While previous technologies primarily process surface-level data, this application leverages data mining to build a more comprehensive detection model, resolving the inability to extract key modification information due to a lack of in-depth analysis. This allows for more effective detection of modified positioning equipment.

[0084] In the above embodiment, a vehicle positioning device monitoring method is provided. Correspondingly, the present application also provides a vehicle positioning device monitoring device. The vehicle positioning device monitoring device provided in the embodiment of the present application can implement the above vehicle positioning device monitoring method. The vehicle positioning device monitoring device can be implemented by software, hardware, or a combination of software and hardware. For example, the vehicle positioning device monitoring device can include integrated or separate functional modules or units to perform the corresponding steps in the above methods. Please refer to Figure 4 , which shows a schematic diagram of a vehicle positioning device monitoring device provided by an embodiment of the present application. Since the device embodiment is basically similar to the method embodiment, the description is relatively simple. For relevant details, please refer to the partial description of the method embodiment. The device embodiment described below is merely illustrative.

[0085] like Figure 4 As shown, the vehicle positioning equipment monitoring device 10 may include:

[0086] The acquisition module 101 is used to acquire all positioning data generated by the vehicle positioning device and the vehicle capture data recorded by the road monitoring device within a monitoring period;

[0087] The judgment module 102 is used to judge whether an abnormality occurs in the vehicle positioning device based on all the acquired positioning data and the vehicle captured data.

[0088] In a possible implementation, the determining module 102 is specifically configured to:

[0089] Check each piece of positioning data in chronological order, and when the positioning data changes, check whether the time difference between the current positioning data and the previous positioning data is greater than a preset time length;

[0090] If the time difference between the current positioning data and the previous positioning data is greater than the preset time length, and there are more than a preset number of captured data in the vehicle captured data between the positioning moments of the current positioning data and the previous positioning data, it is determined that the vehicle has a positioning device offline abnormality.

[0091] In a possible implementation, the determining module 102 is specifically configured to:

[0092] Check each piece of positioning data in chronological order, and count if the current piece of positioning data is inconsistent with the previous piece of positioning data;

[0093] If the time difference between the first positioning data and the last positioning data is greater than the preset time length, and the count is less than or equal to the preset value, check whether there is more than a preset number of captured data in the vehicle captured data;

[0094] If the captured data of the vehicle include captured data of a number greater than a preset number, it is determined that there is an abnormal modification of the positioning device of the vehicle.

[0095] In a possible implementation, the road monitoring equipment includes: electronic checkpoint capture equipment, toll station monitoring equipment and ETC monitoring equipment.

[0096] In a possible implementation, the acquisition module 101 is specifically configured to:

[0097] Acquire and merge vehicle data captured by ETC monitoring equipment, toll booth monitoring equipment, and electronic card capture equipment according to license plate number, license plate color, capture time, and vehicle type to obtain vehicle capture data;

[0098] Obtain all data generated by the vehicle positioning device and filter out the positioning data that contains the license plate number, longitude and latitude, and positioning time.

[0099] The vehicle positioning equipment monitoring device provided in the embodiment of the present application and the vehicle positioning equipment monitoring method provided in the embodiment of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, operated or implemented therein.

[0100] The embodiment of the present application also provides an electronic device corresponding to the vehicle positioning device monitoring method provided in the above embodiment. The electronic device can be a mobile phone, laptop computer, tablet computer, desktop computer, etc., to execute the above vehicle positioning device monitoring method.

[0101] Please refer to Figure 5 , which shows a schematic diagram of an electronic device provided by some embodiments of the present application. Figure 5 As shown, the electronic device 20 includes: a processor 200, a memory 201, a bus 202 and a communication interface 203, and the processor 200, the communication interface 203 and the memory 201 are connected via the bus 202; the memory 201 stores a computer program that can be run on the processor 200, and when the processor 200 runs the computer program, it executes the vehicle positioning device monitoring method provided by any of the aforementioned embodiments of the present application.

[0102] The memory 201 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage. The system network element communicates with at least one other network element via at least one communication interface 203 (which may be wired or wireless), and may utilize the Internet, a wide area network, a local area network, a metropolitan area network, or the like.

[0103] The bus 202 may be an ISA bus, a PCI bus, or an EISA bus. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory 201 is used to store programs. The processor 200 executes the programs upon receiving execution instructions. The vehicle positioning device monitoring method disclosed in any of the aforementioned embodiments of the present application may be applied to or implemented by the processor 200.

[0104] The processor 200 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by hardware integrated logic circuits in the processor 200 or by software instructions. The above processor 200 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf field programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in conjunction with the embodiments of this application can be directly implemented and executed by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium mature in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, etc. The storage medium is located in the memory 201 , and the processor 200 reads the information in the memory 201 and completes the steps of the above method in combination with its hardware.

[0105] The electronic device provided in the embodiment of the present application and the vehicle positioning device monitoring method provided in the embodiment of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, operated or implemented therein.

[0106] An embodiment of the present application also provides a computer-readable storage medium corresponding to the vehicle positioning device monitoring method provided in the aforementioned embodiment. The computer-readable storage medium may be a CD on which a computer program (i.e., a program product) is stored. When the computer program is executed by a processor, the vehicle positioning device monitoring method provided in any of the aforementioned embodiments is executed.

[0107] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical or magnetic storage media, which are not listed here one by one.

[0108] The computer-readable storage medium provided in the above-mentioned embodiment of the present application and the vehicle positioning device monitoring method provided in the embodiment of the present application are based on the same inventive concept and have the same beneficial effects as the method adopted, run or implemented by the application program stored therein.

[0109] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application 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 or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and they should all be included in the scope of the claims and description of the present application.

Claims

1. A vehicle positioning device monitoring method, characterized in that: include: Within a monitoring cycle, all positioning data generated by the vehicle positioning device and the vehicle capture data recorded by the road monitoring device are obtained; Based on all the acquired positioning data and the vehicle captured data, it is determined whether an abnormality occurs in the vehicle positioning device.

2. The method according to claim 1, characterized in that The determining whether an abnormality occurs in the vehicle positioning device based on all the acquired positioning data and the vehicle captured data includes: Check each piece of positioning data in chronological order, and when the positioning data changes, check whether the time difference between the current piece of positioning data and the previous piece of positioning data is greater than a preset time length; If the time difference between the current positioning data and the previous positioning data is greater than the preset duration, and there are more than a preset number of captured data in the vehicle captured data between the positioning times of the current positioning data and the previous positioning data, it is determined that the vehicle has a positioning device offline abnormality.

3. The method according to claim 1, characterized in that The determining whether an abnormality occurs in the vehicle positioning device based on all the acquired positioning data and the vehicle captured data includes: Check each piece of positioning data in chronological order, and count if the current piece of positioning data is inconsistent with the previous piece of positioning data; If the time difference between the first positioning data and the last positioning data is greater than the preset time length, and the count is less than or equal to the preset value, check whether there is more than a preset number of captured data in the vehicle captured data; If there are captured data greater than a preset number in the captured data of the vehicle, it is determined that there is an abnormal modification of the positioning device of the vehicle.

4. The method according to claim 1, characterized in that: The road monitoring equipment includes: electronic checkpoint capture equipment, toll station monitoring equipment and ETC monitoring equipment.

5. The method according to claim 4, characterized in that The method of obtaining all positioning data generated by the vehicle positioning device and the vehicle captured data recorded by the road monitoring device includes: Acquire and merge the vehicle data captured by ETC monitoring equipment, toll booth monitoring equipment and electronic card-port capture equipment according to license plate number, license plate color, capture time and vehicle type to obtain vehicle capture data; Obtain all data generated by the vehicle positioning device and filter out the positioning data that includes the license plate number, longitude and latitude, and positioning time.

6. A vehicle positioning equipment monitoring device, characterized in that: include: An acquisition module is used to acquire all positioning data generated by the vehicle positioning device and the vehicle capture data recorded by the road monitoring device within a monitoring period; The judgment module is used to judge whether an abnormality occurs in the vehicle positioning device according to all the acquired positioning data and the vehicle captured data.

7. The device according to claim 6, characterized in that The judgment module is specifically used for: Check each piece of positioning data in chronological order, and when the positioning data changes, check whether the time difference between the current piece of positioning data and the previous piece of positioning data is greater than a preset time length; If the time difference between the current positioning data and the previous positioning data is greater than the preset duration, and there are more than a preset number of captured data in the vehicle captured data between the positioning times of the current positioning data and the previous positioning data, it is determined that the vehicle has a positioning device offline abnormality.

8. The device according to claim 6, characterized in that The judgment module is specifically used for: Check each piece of positioning data in chronological order, and count if the current piece of positioning data is inconsistent with the previous piece of positioning data; If the time difference between the first positioning data and the last positioning data is greater than the preset time length, and the count is less than or equal to the preset value, check whether there is more than a preset number of captured data in the vehicle captured data; If there are captured data greater than a preset number in the captured data of the vehicle, it is determined that there is an abnormal modification of the positioning device of the vehicle.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 5 when executing the computer program.

10. A computer-readable storage medium, characterized in that: Computer-readable instructions are stored thereon, and the computer-readable instructions can be executed by a processor to implement the method according to any one of claims 1 to 5.

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