Vehicle monitoring method and device

Abstract

The embodiment of the invention provides a vehicle monitoring method and device, and the vehicle monitoring method is applied to a vehicle monitoring platform, and comprises the steps: collecting the vehicle information of a plurality of registered vehicles, and carrying out the detection of the vehicle information of each registered vehicle in at least two monitoring dimensions; determining a target abnormal vehicle in the plurality of registered vehicles according to the detection result, and determining target abnormal information in the vehicle information corresponding to the target abnormal vehicle; and generating target vehicle monitoring information according to the target abnormal information and a target monitoring dimension corresponding to the target abnormal information, and feeding back the target vehicle monitoring information to a vehicle supervisor of the target abnormal vehicle. The target abnormal vehicle can be quickly and accurately determined in a mode of collecting and detecting the vehicle information of the registered vehicle. And target vehicle monitoring information is fed back to a vehicle supervisor, so that rapid feedback and processing of vehicle abnormity are realized, and the real-time performance and processing efficiency of abnormity processing are improved.

Description

Technical Field

[0001] The embodiments of the present specification relate to the field of computer technology, and more particularly to a vehicle monitoring method and device. Background Art

[0002] With the development of computer technology, the automotive industry is gradually moving towards technology and automation. Automobile safety has always been a hot topic. As the attention to automobile safety issues continues to increase, the requirements for the efficiency and accuracy of vehicle monitoring are becoming increasingly stringent.

[0003] In the prior art, when monitoring vehicles, an Excel spreadsheet is usually used to record vehicle information, and the method of manual analysis is used. This monitoring method has low real-time performance, and the accuracy and work efficiency of manual analysis are both at a low level. Therefore, a more effective vehicle monitoring method is urgently needed to solve this problem. Summary of the invention

[0004] In view of this, an embodiment of this specification provides a vehicle monitoring method. One or more embodiments of this specification also relate to a vehicle monitoring device, a vehicle monitoring system, a computing device, a computer-readable storage medium and a computer program to solve the technical defects existing in the prior art.

[0005] According to a first aspect of an embodiment of this specification, a vehicle monitoring method is provided, which is applied to a vehicle monitoring platform, including:

[0006] Collecting vehicle information of multiple registered vehicles, and detecting the vehicle information of each registered vehicle in at least two monitoring dimensions;

[0007] Determine a target abnormal vehicle among the multiple registered vehicles according to the detection result, and determine target abnormal information in the vehicle information corresponding to the target abnormal vehicle;

[0008] Target vehicle monitoring information is generated according to the target abnormality information and the target monitoring dimension corresponding to the target abnormality information, and the target vehicle monitoring information is fed back to the vehicle supervisor of the target abnormal vehicle.

[0009] Optionally, collecting vehicle information of multiple registered vehicles includes:

[0010] Determine a monitoring area corresponding to the vehicle monitoring platform, and determine a plurality of registered vehicles within the monitoring area;

[0011] The registration information, online status information, location information and vehicle attribute information of each registered vehicle are collected as the vehicle information.

[0012] Optionally, the vehicle information of any registered vehicle is detected in at least two monitoring dimensions, including:

[0013] Reading the offline time information of the registered vehicle from the vehicle information and comparing it with the preset offline information as offline risk detection of the registered vehicle in the offline risk dimension, and / or

[0014] Reading the vehicle aggregation information of the registered vehicles in the vehicle information and comparing it with the preset aggregation information as an aggregation risk detection of the registered vehicles in the aggregation risk dimension, and / or

[0015] The vehicle body detection information of the registered vehicle is read from the vehicle information and compared with the preset alarm information as an alarm risk detection of the registered vehicle in the alarm risk dimension.

[0016] Optionally, the determining target abnormality information in the vehicle information corresponding to the target abnormal vehicle includes:

[0017] In a case where the target abnormal vehicle is an offline abnormal vehicle corresponding to the offline risk dimension, the offline time information is used as the target abnormal information.

[0018] Optionally, the determining target abnormality information in the vehicle information corresponding to the target abnormal vehicle includes:

[0019] In the case where the target abnormal vehicle is a clustered abnormal vehicle corresponding to the clustering risk dimension, the vehicle clustering information is used as the target abnormal information.

[0020] Optionally, the determining target abnormality information in the vehicle information corresponding to the target abnormal vehicle includes:

[0021] In the case where the target abnormal vehicle is an alarm abnormal vehicle corresponding to the alarm risk dimension, the vehicle body detection information is used as the target abnormal information.

[0022] Optionally, feeding back the target vehicle monitoring information to a vehicle supervisor of the target abnormal vehicle includes:

[0023] In the case where the target vehicle monitoring information is offline information and / or aggregated information, the party to which the target abnormal vehicle belongs is used as the vehicle supervisor, and the offline information and / or aggregated information is fed back;

[0024] In the case where the target vehicle monitoring information is warning information, the abnormality handling party of the target abnormal vehicle is used as the vehicle supervisor, and the warning information is fed back.

[0025] Optionally, the vehicle monitoring method further includes:

[0026] Receiving abnormality handling information submitted by the vehicle supervisor for the target abnormal vehicle;

[0027] The vehicle information of the target abnormal vehicle is updated based on the abnormality handling information, and the status update result is used to indicate that the target abnormal vehicle is in an inspection-free state or a use state.

[0028] According to a second aspect of the embodiments of this specification, a vehicle monitoring device is provided, which is applied to a vehicle monitoring platform, including:

[0029] A collection module is configured to collect vehicle information of a plurality of registered vehicles and detect the vehicle information of each registered vehicle in at least two monitoring dimensions;

[0030] a determination module configured to determine a target abnormal vehicle among the plurality of registered vehicles according to the detection result, and determine target abnormal information in the vehicle information corresponding to the target abnormal vehicle;

[0031] The generation module is configured to generate target vehicle monitoring information according to the target abnormality information and the target monitoring dimension corresponding to the target abnormality information, and feed back the target vehicle monitoring information to the vehicle supervisor of the target abnormal vehicle.

[0032] According to a third aspect of the embodiments of this specification, there is provided a vehicle monitoring system, including a plurality of vehicle terminals and a vehicle monitoring platform;

[0033] The vehicle terminal is used to collect vehicle information based on the vehicle monitoring instruction and send it to the vehicle monitoring platform;

[0034] The vehicle monitoring platform is used to detect the vehicle information of each registered vehicle in at least two monitoring dimensions; determine the target abnormal vehicle among the multiple registered vehicles based on the detection results, and determine the target abnormal information in the vehicle information corresponding to the target abnormal vehicle; generate target vehicle monitoring information based on the target abnormal information and the target monitoring dimensions corresponding to the target abnormal information, and feed back the target vehicle monitoring information to the vehicle supervisor of the target abnormal vehicle.

[0035] According to a fourth aspect of an embodiment of this specification, a computing device is provided, including:

[0036] Memory and processor;

[0037] The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the above-mentioned vehicle monitoring method are implemented.

[0038] According to a fifth aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the instructions are executed by a processor, the steps of the above-mentioned vehicle monitoring method are implemented.

[0039] According to a sixth aspect of the embodiments of this specification, a computer program is provided, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned vehicle monitoring method.

[0040] The vehicle monitoring method provided in one embodiment of the present specification is applied to a vehicle monitoring platform. Collect vehicle information of multiple registered vehicles, and perform detection on the vehicle information of each registered vehicle in at least two monitoring dimensions; determine the target abnormal vehicle among the multiple registered vehicles based on the detection results, and determine the target abnormal information in the vehicle information corresponding to the target abnormal vehicle; generate target vehicle monitoring information based on the target abnormal information and the target monitoring dimension corresponding to the target abnormal information, and feed back the target vehicle monitoring information to the vehicle supervisor of the target abnormal vehicle. By collecting the vehicle information of the registered vehicles and performing detection, the target abnormal vehicle can be determined quickly and accurately. Then, the target vehicle monitoring information is fed back to the vehicle supervisor, thereby realizing rapid feedback and processing of vehicle abnormalities, and improving the real-time and processing efficiency of abnormal processing. By detecting registered vehicles in at least two monitoring dimensions, the comprehensiveness of vehicle monitoring is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a monitoring process schematic diagram of a vehicle monitoring method provided by an embodiment of this specification;

[0042] Figure 2 is a flow chart of a vehicle monitoring method provided by an embodiment of this specification;

[0043] Figure 3 This is an information statistics interface diagram of a vehicle monitoring method provided by an embodiment of this specification;

[0044] Figure 4 is a process flow chart of a vehicle monitoring method provided by an embodiment of this specification;

[0045] Figure 5 It is a vehicle information statistics diagram of a vehicle monitoring method provided by an embodiment of this specification;

[0046] Figure 6 It is a structural schematic diagram of a vehicle monitoring device provided by an embodiment of this specification;

[0047] Figure 7 is an architecture diagram of a vehicle monitoring system provided by an embodiment of this specification;

[0048] Figure 8 It is a structural block diagram of a computing device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0049] Many specific details are described in the following description to facilitate a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of this specification, so this specification is not limited to the specific implementation disclosed below.

[0050] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a", "said" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0051] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0052] In addition, it should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in one or more embodiments of this specification are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0053] Figure 1 FIG. 1 is a schematic diagram of a monitoring process of a vehicle monitoring method provided by an embodiment of the present specification. Figure 1As shown, when vehicle monitoring is performed based on a vehicle monitoring platform, vehicle information of multiple dimensions such as body information and geographic location information of multiple registered vehicles in the monitoring platform is collected. The vehicle information of each registered vehicle is detected in at least two monitoring dimensions to detect whether the registered vehicle has any abnormality. According to the detection results, the target abnormal vehicle is determined among the multiple registered vehicles, and the target abnormal information of the target abnormal vehicle is determined in the vehicle information corresponding to the target abnormal vehicle. According to the target abnormal information and the target monitoring dimension corresponding to the target abnormal information, the target vehicle monitoring information is generated, and the target vehicle monitoring information is fed back to the vehicle supervisor of the target abnormal vehicle. The vehicle supervisor performs abnormal processing on the target abnormal vehicle, wherein the vehicle supervisor can be the owner of the vehicle, the insurance platform, or the abnormal processing personnel of the vehicle monitoring platform.

[0054] In summary, by collecting vehicle information of registered vehicles and conducting tests, target abnormal vehicles can be quickly and accurately identified. Then, the target vehicle monitoring information is fed back to the vehicle supervisor, thereby achieving rapid feedback and processing of vehicle abnormalities, improving the real-time and efficiency of abnormality processing. By testing registered vehicles in at least two monitoring dimensions, the comprehensiveness of vehicle monitoring is improved.

[0055] In this specification, a vehicle monitoring method is provided. This specification also relates to a vehicle monitoring device, a vehicle monitoring system, a computing device, and a computer-readable storage medium, which are described in detail one by one in the following embodiments.

[0056] See also Figure 2 , Figure 2 A flow chart of a vehicle monitoring method provided according to an embodiment of the present specification is shown. The vehicle monitoring method is applied to a vehicle monitoring platform and specifically includes the following steps.

[0057] Step 202: Collect vehicle information of multiple registered vehicles, and detect the vehicle information of each registered vehicle in at least two monitoring dimensions.

[0058] Specifically, the vehicle monitoring platform is used to monitor vehicles that have been registered on the vehicle monitoring platform, provide vehicle safety monitoring services for registered vehicles, and provide abnormal reminders and assistance services for registered vehicles when abnormal vehicle parameters, vehicle failures, traffic accidents, etc. are detected; accordingly, a registered vehicle can be any vehicle that is in use and can provide services to the owner; the types of registered vehicles include but are not limited to small cars, trucks, vans and other vehicles that do not have a fixed driving track; the monitoring dimension refers to the vehicle monitoring angle, including monitoring of the vehicle body itself, such as monitoring of vehicle speed, vehicle engine temperature, tire pressure and other parameters, and also includes monitoring of the vehicle body's geographical location, environment and other factors; thereby ensuring that the vehicle is in a safe state; accordingly, vehicle information includes the parameters of the vehicle body itself, the geographical location and environmental parameters of the vehicle body, and information such as the online or offline status of the vehicle.

[0059] Based on this, when monitoring vehicles, vehicle information of multiple registered vehicles is collected at a fixed time, or vehicle information of multiple registered vehicles is collected within a fixed time interval, and the vehicle information of each registered vehicle is detected in at least two monitoring dimensions.

[0060] Furthermore, the information that can reflect the vehicle's heritage includes not only the vehicle's accessories information, but also the vehicle's location and environment information. Therefore, it is necessary to collect vehicle information from multiple dimensions, which can be implemented as follows:

[0061] Determine a monitoring area corresponding to the vehicle monitoring platform, and determine a plurality of registered vehicles in the monitoring area; collect registration information, online status information, location information, and vehicle attribute information of each registered vehicle as the vehicle information.

[0062] Specifically, the monitoring area is used to indicate the vehicle monitoring range corresponding to the vehicle monitoring platform. The monitoring area can be a region of a set range or an area of ​​a certain size. The monitoring area can be divided according to urban areas; registration information includes but is not limited to registration time, registrant, registered vehicle model, length and production year information; online status information can be online or offline; location information can be the latitude and longitude information of the registered vehicle, or location information such as the street where the registered vehicle is located; vehicle attribute information includes but is not limited to information that changes continuously during the use of the vehicle, such as vehicle speed, remaining fuel, tire pressure, etc.

[0063] Based on this, when monitoring a vehicle, the monitoring area that needs to be monitored corresponding to the vehicle monitoring platform is determined, and multiple registered vehicles are determined in the monitoring area. The registration information, online status information, location information, and vehicle attribute information of each registered vehicle are collected respectively, and the collected information is used as vehicle information, so as to facilitate the subsequent analysis and abnormality detection of the registered vehicles based on the vehicle information.

[0064] For example, when it is necessary to monitor vehicles in area A, the registered vehicles in area A that have been registered on the vehicle monitoring platform are determined. The vehicle information of each registered vehicle is collected from the information dimensions of registration information, online status information, location information, and vehicle attribute information, and stored in the vehicle monitoring platform.

[0065] In summary, by collecting vehicle information in multiple dimensions such as registration information, online status information, location information, and vehicle attribute information, the comprehensiveness of information collection on registered vehicles can be improved.

[0066] Furthermore, considering that the causes of vehicle abnormalities are diverse, in addition to the vehicle's own reasons, there are also environmental factors and geographical location factors. Therefore, it is necessary to monitor registered vehicles in multiple monitoring dimensions, which are specifically implemented as follows:

[0067] Reading the offline time information of the registered vehicle from the vehicle information and comparing it with the preset offline information as offline risk detection of the registered vehicle in the offline risk dimension, and / or

[0068] Reading the vehicle aggregation information of the registered vehicles in the vehicle information and comparing it with the preset aggregation information as an aggregation risk detection of the registered vehicles in the aggregation risk dimension, and / or

[0069] The vehicle body detection information of the registered vehicle is read from the vehicle information and compared with the preset alarm information as an alarm risk detection of the registered vehicle in the alarm risk dimension.

[0070] Specifically, offline time information refers to the time during which a registered vehicle has not uploaded vehicle information. The offline time can be calculated in days. A registered vehicle uploads vehicle information at a fixed time. Starting from the first day, the second day, the third day and the tenth day do not upload vehicle information. In this case, the offline time information is 9 days. Preset offline information refers to the preset offline time threshold. The preset offline information can be set to 60 days, 90 days, etc. according to actual needs. The offline risk dimension corresponds to the vehicle offline time. When the vehicle offline time is greater than the preset time threshold, it indicates that the vehicle is at risk. Vehicle aggregation information refers to the number of vehicles parked in the same area. Stay for a fixed time, for example, 80 vehicles stay in an area with a radius of 500 meters for more than 10 days; correspondingly, the preset aggregation information can be that 100 vehicles stay in an area with a radius of 500 meters for more than 60 days, and the remaining power exceeds 80% of the total power; the aggregation risk dimension corresponds to the vehicle aggregation information; the body detection information refers to the vehicle speed, remaining fuel, tire pressure and other information that poses a safety hazard; the preset alarm information is the pre-set upper speed limit, lower remaining fuel limit, and tire pressure limit information; the alarm risk dimension corresponds to the preset alarm information. When the monitored body detection information meets the alarm conditions, it means that the vehicle is abnormal and there is an alarm risk.

[0071] Based on this, the offline time information of the registered vehicle is read from the vehicle information and compared with the preset offline information as an offline risk detection of the registered vehicle in the offline risk dimension. When the offline time of the registered vehicle is greater than the preset offline time, it indicates that the registered vehicle has an offline risk; or, the vehicle aggregation information of the registered vehicle is read from the vehicle information and compared with the preset aggregation information as an aggregation risk detection of the registered vehicle in the aggregation risk dimension. When the vehicle aggregation information meets the vehicle aggregation condition corresponding to the preset aggregation information, it indicates that the registered vehicle has an aggregation risk; or, the body detection information of the registered vehicle is read from the vehicle information and compared with the preset alarm information as an alarm risk detection of the registered vehicle in the alarm risk dimension. When the body detection information meets the alarm condition corresponding to the preset alarm information, it indicates that the registered vehicle has an abnormality that requires an alarm.

[0072] In addition, the registered vehicles can be tested in the offline risk dimension, the aggregate risk dimension and the alarm risk dimension at the same time, or at least one dimension can be selected from the offline risk dimension, the aggregate risk dimension and the alarm risk dimension to test the registered vehicles. The detection of the risk dimension can be selected according to actual needs.

[0073] Using the above example, if there are 100 monitored vehicles in area A, the vehicle information of the 100 registered vehicles is collected from the information dimensions of registration information, online status information, location information, and vehicle attribute information, and stored in the vehicle monitoring platform. The risk detection dimension corresponding to each vehicle is determined, and then the registered vehicles are tested for risk based on the selected risk detection dimension.

[0074] In summary, any dimension that needs to be detected can be selected from the offline risk dimension, the aggregate risk dimension, and the alarm risk dimension to achieve comprehensive detection of registered vehicles and improve the safety of registered vehicles. Registered vehicles can be detected in advance before any abnormality occurs, thereby providing a reference for after-sales service and reducing the probability of after-sales incidents.

[0075] Step 204: determining a target abnormal vehicle from among the plurality of registered vehicles according to the detection result, and determining target abnormal information from among the vehicle information corresponding to the target abnormal vehicle.

[0076] Specifically, after the vehicle information of multiple registered vehicles is collected as mentioned above and the vehicle information of each registered vehicle is detected in at least two monitoring dimensions respectively, the target abnormal vehicle can be determined among the multiple registered vehicles according to the detection results, and the target abnormal information can be determined in the vehicle information corresponding to the target abnormal vehicle, wherein the detection result refers to the result determined after dividing the vehicle information according to each monitoring dimension, obtaining the vehicle sub-information corresponding to each monitoring dimension, and comparing the vehicle sub-information with the baseline information of the corresponding monitoring dimension. The detection result can be an abnormal result such as abnormal vehicle speed and abnormal temperature, or it can be a determination result of whether the vehicle is abnormal; the target abnormal vehicle is a target abnormal vehicle with abnormalities selected according to the detection results from multiple registered vehicles; the target abnormal information refers to information of abnormal types such as body abnormality and vehicle position abnormality selected in the target abnormal vehicle information after the target abnormal vehicle information associated with the target abnormal vehicle is selected in the vehicle information.

[0077] Based on this, after the vehicle information of multiple registered vehicles is collected and the vehicle information of each registered vehicle is tested in at least two monitoring dimensions, a target abnormal vehicle with vehicle problems is determined among the multiple registered vehicles according to the test results, and the vehicle information corresponding to the target abnormal vehicle is selected from the vehicle information, and the target abnormal information is determined in the vehicle information corresponding to the target abnormal vehicle. This facilitates subsequent abnormal processing of the target abnormal vehicle according to the target abnormal information.

[0078] Further, the determining target abnormal information in the vehicle information corresponding to the target abnormal vehicle includes:

[0079] In a case where the target abnormal vehicle is an offline abnormal vehicle corresponding to the offline risk dimension, the offline time information is used as the target abnormal information.

[0080] Based on this, when the target abnormal vehicle is an offline abnormal vehicle corresponding to the offline risk dimension, the offline time information is used as the target abnormal information, and then the subsequent target vehicle monitoring information is generated based on the offline time information.

[0081] Using the above example, the offline time information can be calculated based on the offline start time and offline stop time, and the obtained offline duration is the offline time information. Figure 3 As shown in (a), Figure 3 (a) shows the page corresponding to the offline time information, which contains an overview of vehicles that have been offline for a long time, and an offline list. The offline list includes but is not limited to the vehicle model, offline start time, offline end time, and offline duration, and the above information is queried for a specific vehicle.

[0082] In summary, the offline time information is used as the target abnormal information, and then the target abnormal vehicle is processed based on the offline time information, so as to achieve targeted abnormal processing of the target abnormal vehicle and prevent the target abnormal vehicle from being offline.

[0083] Further, the determining target abnormal information in the vehicle information corresponding to the target abnormal vehicle includes:

[0084] In the case where the target abnormal vehicle is a clustered abnormal vehicle corresponding to the clustering risk dimension, the vehicle clustering information is used as the target abnormal information.

[0085] Based on this, when the target abnormal vehicle is a clustered abnormal vehicle corresponding to the clustering risk dimension, the vehicle clustering information is used as the target abnormal information, and then the subsequent target vehicle monitoring information is generated based on the vehicle clustering information.

[0086] Using the above example, we use the vehicle gathering information as the target abnormal information and develop a large-scale gathering function for vehicle terminals in sales, after-sales and R&D to identify vehicle gathering problems. Large-scale gathering can mean "more than 100 vehicles gathered within a radius of 500 meters for more than 60 days, with more than 80% of the remaining power." This function can identify vehicle gathering problems and pre-identify vehicles that may cause harm to others. It can realize early detection of risk problems to avoid related accidents or customer complaints.

[0087] In summary, the vehicle aggregation information is used as the target abnormal information, and then the target abnormal vehicles are processed based on the vehicle aggregation information, so as to achieve targeted abnormal processing of the target abnormal vehicles and prevent the risk of aggregation of the target abnormal vehicles.

[0088] Further, the determining target abnormal information in the vehicle information corresponding to the target abnormal vehicle includes:

[0089] In the case where the target abnormal vehicle is an alarm abnormal vehicle corresponding to the alarm risk dimension, the vehicle body detection information is used as the target abnormal information.

[0090] Based on this, when the target abnormal vehicle is an alarm abnormal vehicle corresponding to the alarm risk dimension, the vehicle body detection information is used as the target abnormal information, and then the subsequent target vehicle monitoring information is generated based on the vehicle body detection information.

[0091] In actual applications, the functional design logic of the alarm can be: for the same vehicle on the same day, the same alarm content only records the alarm data submitted for the first time, and summarizes it according to the date of the alarm. For the re-released alarm data, the alarm data of the day the alarm occurred will be checked; if there is a corresponding alarm record, the alarm data will be persistently stored. If there is no corresponding alarm record, the alarm data will be recorded. When the alarm level is high (level 3 alarm), the alarm processing result is recorded; when the alarm level is low (level 1, level 2 alarm), it is not recorded.

[0092] Continuing with the above example, when the target abnormal vehicle is an abnormal vehicle corresponding to the alarm risk dimension, the vehicle body detection information is used as the target abnormal information. Figure 3 As shown in (b), Figure 3 (b) shows the alarm page. The alarm page contains a list of vehicles, including the alarm type, vehicle model, alarm number, alarm level, and vehicle mileage. You can query the above information. By developing a vehicle alarm function, it is used for sales, after-sales, and R&D vehicle terminals to identify problems that require vehicle alarms. The alarm levels can be divided into level 1, level 2, and level 3. Feedback the alarm information to the relevant after-sales department, or contact the car owner, and contact the insurance platform to support rescue.

[0093] In summary, the vehicle body detection information is used as the target abnormal information, and then the target abnormal vehicle is processed based on the vehicle body detection information, so as to achieve targeted abnormal processing of the target abnormal vehicle, prevent the alarm risk of the target abnormal vehicle, and handle the alarm event in time when it occurs.

[0094] Step 206: Generate target vehicle monitoring information according to the target abnormality information and the target monitoring dimension corresponding to the target abnormality information, and feed back the target vehicle monitoring information to the vehicle supervisor of the target abnormal vehicle.

[0095] Specifically, after determining the target abnormal vehicle among multiple registered vehicles according to the detection results and determining the target abnormal information in the vehicle information corresponding to the target abnormal vehicle, the target vehicle monitoring information can be generated according to the target abnormal information and the target monitoring dimension corresponding to the target abnormal information, and the target vehicle monitoring information can be fed back to the vehicle regulator of the target abnormal vehicle, wherein the target monitoring dimension refers to the vehicle abnormality monitoring dimension corresponding to the target abnormal information, and there is at least one target monitoring dimension; the target vehicle monitoring information is the monitoring result corresponding to the target abnormal vehicle; the vehicle regulator can be the vehicle owner, the monitoring personnel of the vehicle monitoring platform, and the insurance platform and other matter handlers that can perform abnormal processing on the target abnormal vehicle based on the target vehicle monitoring information.

[0096] Based on this, after determining the target abnormal vehicle among multiple registered vehicles according to the detection results and determining the target abnormal information in the vehicle information corresponding to the target abnormal vehicle, at least one target vehicle monitoring information is generated according to the target abnormal information and at least one target monitoring dimension corresponding to the target abnormal information, and the at least one target vehicle monitoring information is fed back to the vehicle supervisor of the target abnormal vehicle corresponding to the target vehicle monitoring information, so as to facilitate the vehicle supervisor to perform abnormal processing on the target abnormal vehicle based on the target vehicle monitoring information.

[0097] Furthermore, considering that the abnormal types of target abnormal vehicles are diverse, the risk levels corresponding to the abnormalities are also different. For multiple abnormal types and the risk levels corresponding to each abnormality, the abnormality and risk handling methods are also different. The specific implementation is as follows:

[0098] In the case where the target vehicle monitoring information is offline information and / or aggregated information, the party to which the target abnormal vehicle belongs is regarded as the vehicle supervisor, and the offline information and / or aggregated information is fed back; in the case where the target vehicle monitoring information is alarm information, the abnormality handling party of the target abnormal vehicle is regarded as the vehicle supervisor, and the alarm information is fed back.

[0099] Specifically, when it is determined that the abnormal type of the target abnormal vehicle is an offline abnormality according to the target vehicle monitoring information, the offline time is used as the offline information; when it is determined that the abnormal type of the target abnormal vehicle is an aggregated abnormality according to the target vehicle monitoring information, the aggregated description information is used as the aggregated information, and the aggregated description information includes the number of aggregated vehicles, aggregated location information and aggregated time information; the owner of the target abnormal vehicle may be the owner of the target abnormal vehicle, such as the owner of the target abnormal vehicle; when it is determined that the abnormal type of the target abnormal vehicle is an alarm abnormality according to the target vehicle monitoring information, the alarm vehicle body parameter information is used as the alarm information; the abnormality handling party of the target abnormal vehicle may be a vehicle monitoring platform, or it may be a platform responsible for fault or accident handling.

[0100] Based on this, when the target vehicle monitoring information is any one or both of the vehicle offline information or the vehicle aggregation information, the party to which the target abnormal vehicle belongs is regarded as the vehicle supervisor, and the vehicle offline information and / or the vehicle aggregation information are fed back to the party to which the target abnormal vehicle belongs, and the party to which the target abnormal vehicle belongs processes the target abnormal vehicle based on the vehicle offline information and / or the vehicle aggregation information. When the target vehicle monitoring information is the vehicle warning information, the abnormal handling party of the target abnormal vehicle is regarded as the vehicle supervisor, and the vehicle warning information is fed back to the abnormal handling party of the target abnormal vehicle, and the abnormal handling party of the target abnormal vehicle processes the target abnormal vehicle based on the vehicle warning information.

[0101] Continuing with the above example, when a traffic accident is detected involving car A and an alarm is sounded, the alarm information will be fed back to the insurance platform corresponding to car A, and the accident handling personnel of the vehicle monitoring platform will be notified; when a large-scale gathering of car A is detected, the vehicle gathering information will be fed back to the owner of car A.

[0102] In summary, the corresponding vehicle supervisor is selected according to the type of target vehicle monitoring information, so as to realize point-to-point abnormal feedback and improve the efficiency of abnormal handling.

[0103] Furthermore, considering that after the target vehicle monitoring information of the target abnormal vehicle is determined and fed back to the vehicle supervisor of the target abnormal vehicle, the vehicle supervisor needs to perform abnormal processing on the target abnormal vehicle and record the abnormal processing information, the specific implementation is as follows:

[0104] Receive the abnormality handling information submitted by the vehicle supervisor for the target abnormal vehicle; update the status of the vehicle information of the target abnormal vehicle based on the abnormality handling information, and the status update result is used to indicate that the target abnormal vehicle is in an inspection-free state or a use state.

[0105] Specifically, the exception handling information includes but is not limited to the exception handling results, exception handling methods, and the time used for exception handling; updating the vehicle information status may be to add status information of completion or deferred processing to the target abnormal information in the vehicle information; the inspection-free status indicates that the current target abnormal vehicle does not need to continue to be inspected, for example, the target abnormal vehicle has been discontinued.

[0106] Based on this, the abnormality handling information submitted by the vehicle supervisor for the target abnormal vehicle is received. The vehicle information of the target abnormal vehicle is updated based on the abnormality handling information. When the abnormality handling of the target abnormal vehicle is completed and the use state is restored, the state update result indicates that the target abnormal vehicle is in use. When the target abnormal vehicle does not need to be re-detected for the currently detected abnormality type, the state update result indicates that the target abnormal vehicle is exempted from inspection.

[0107] Continuing with the above example, when a traffic accident is detected in car A and an alarm is sounded, the alarm information is fed back to the insurance platform corresponding to car A. When the insurance platform performs abnormal processing on the target abnormal vehicle and the processing is completed, the processing result is fed back to the vehicle monitoring platform, and the vehicle information status of car A is updated based on the processing result.

[0108] In summary, the exception handling information submitted by the vehicle supervisor for the target abnormal vehicle is received, and the vehicle information of the target abnormal vehicle is updated based on the exception handling information, thereby improving the real-time nature of the information in the vehicle monitoring platform.

[0109] In summary, the vehicle monitoring method provided by an embodiment of the present specification is applied to a vehicle monitoring platform. The vehicle information of multiple registered vehicles is collected, and the vehicle information of each registered vehicle is detected in at least two monitoring dimensions; the target abnormal vehicle is determined among the multiple registered vehicles according to the detection results, and the target abnormal information is determined in the vehicle information corresponding to the target abnormal vehicle; the target vehicle monitoring information is generated according to the target abnormal information and the target monitoring dimension corresponding to the target abnormal information, and the target vehicle monitoring information is fed back to the vehicle supervisor of the target abnormal vehicle. By collecting the vehicle information of the registered vehicles and performing the detection, the target abnormal vehicle can be determined quickly and accurately. Then, the target vehicle monitoring information is fed back to the vehicle supervisor, thereby realizing the rapid feedback and processing of vehicle abnormalities, and improving the real-time and processing efficiency of abnormal processing. By detecting the registered vehicles in at least two monitoring dimensions, the comprehensiveness of vehicle monitoring is improved.

[0110] The following combination Figure 4 , taking the application of the vehicle monitoring method provided in this specification in a vehicle monitoring scenario as an example, the vehicle monitoring method is further described. Among them, Figure 4 A process flow chart of a vehicle monitoring method provided by an embodiment of the present specification is shown, which specifically includes the following steps.

[0111] Step 402: Determine a monitoring area corresponding to the vehicle monitoring platform, and determine a plurality of registered vehicles in the monitoring area.

[0112] The monitoring area can be determined according to the monitoring requirements. The area within the set range can be used as the monitoring area, and the monitoring area can also be an area based on cities. In this embodiment, there is no limitation on the scope of the monitoring area.

[0113] Step 404: Collect the registration information, online status information, location information and vehicle attribute information of each registered vehicle as vehicle information.

[0114] After collecting the vehicle information of each registered vehicle, statistics and analysis can also be performed based on the vehicle information. The statistical and analysis results can be displayed on the corresponding interface of the vehicle monitoring platform. Figure 5 As shown, the registered vehicles are monitored in real time, and then the vehicle statistics are performed based on the collected vehicle information such as vehicle model and terminal. The offline vehicle data / time, offline power distribution, abnormal processing rate and long-term offline vehicles can be counted. Various statistical graphics such as line charts, bar charts, pie charts and ring charts are used for display, so as to facilitate data analysis for registered vehicles.

[0115] Step 406: Detect the vehicle information of each registered vehicle in at least two monitoring dimensions.

[0116] Registered vehicles are inspected in offline risk dimension, aggregate risk dimension and / or alarm risk dimension.

[0117] When the target abnormal vehicle is an offline abnormal vehicle corresponding to the offline risk dimension, the offline time information is used as the target abnormal information; when the target abnormal vehicle is an aggregated abnormal vehicle corresponding to the aggregated risk dimension, the vehicle aggregation information is used as the target abnormal information; when the target abnormal vehicle is an alarm abnormal vehicle corresponding to the alarm risk dimension, the vehicle body detection information is used as the target abnormal information.

[0118] Step 408: Determine a target abnormal vehicle among multiple registered vehicles based on the detection results.

[0119] According to the detection result, an abnormal vehicle is determined among multiple registered vehicles as a target abnormal vehicle.

[0120] Step 410: Determine target abnormal information in the vehicle information corresponding to the target abnormal vehicle.

[0121] The target exception information may be an aggregate exception, an offline exception, and / or an alarm exception.

[0122] Step 412: Generate target vehicle monitoring information according to the target abnormality information and the target monitoring dimension corresponding to the target abnormality information.

[0123] The target vehicle monitoring information generated in the offline risk dimension may be that the vehicle has been offline for more than 60 days; the target vehicle monitoring information generated in the aggregation risk dimension may be "more than 100 vehicles have gathered within a radius of 500 meters for more than 60 days, and the remaining power exceeds 80%"; the target vehicle monitoring information generated in the alarm risk dimension may be: the vehicle has a serious traffic accident, which is a level 3 alarm.

[0124] Step 414: When the target vehicle monitoring information is offline information and / or aggregated information, the party to which the target abnormal vehicle belongs is used as the vehicle supervisor, and the offline information and / or aggregated information is fed back.

[0125] When the target vehicle monitoring information is offline information and / or aggregated information, it indicates that the monitored vehicle has offline anomalies and / or large-scale aggregated anomalies. At this time, the owner of the monitored vehicle can be notified to handle the anomaly.

[0126] Step 416: When the target vehicle monitoring information is alarm information, the abnormality handling party of the target abnormal vehicle is used as the vehicle supervisor and the alarm information is fed back.

[0127] When the target vehicle monitoring information is an alarm message and the alarm is level 3, it means that a serious accident may occur in the monitored vehicle and it is necessary to inform the insurance platform, road rescue party or vehicle monitoring platform to provide assistance.

[0128] Step 418: Receive the abnormality handling information submitted by the vehicle supervisor for the target abnormal vehicle.

[0129] When the target vehicle monitoring information is an alarm message and a level 3 alarm is issued, the vehicle supervisor will provide feedback on the results after the accident is handled.

[0130] Step 420: Update the vehicle information of the target abnormal vehicle based on the abnormality handling information.

[0131] After receiving the processing results fed back by the vehicle supervisor, the processing results are recorded to update the vehicle information.

[0132] In summary, the safety warning function is realized through the vehicle monitoring platform, so that problem vehicles (vehicles that have not uploaded data for a long time, vehicles with high alarms, etc.) can be easily identified and the relevant owners can be contacted to solve the problem. This not only reduces the failure rate of vehicles, but also reduces complaints from car owners and improves the service quality of vehicles. The information to be analyzed only needs to be entered once, without multiple manual maintenance or attempts. Public parameter configuration is provided, and users can design and improve it online instead of manual calculation and coding, which shortens a lot of exploration and research time.

[0133] The vehicle monitoring method provided in one embodiment of the present specification is applied to a vehicle monitoring platform. Collect vehicle information of multiple registered vehicles, and perform detection on the vehicle information of each registered vehicle in at least two monitoring dimensions; determine the target abnormal vehicle among the multiple registered vehicles based on the detection results, and determine the target abnormal information in the vehicle information corresponding to the target abnormal vehicle; generate target vehicle monitoring information based on the target abnormal information and the target monitoring dimension corresponding to the target abnormal information, and feed back the target vehicle monitoring information to the vehicle supervisor of the target abnormal vehicle. By collecting the vehicle information of the registered vehicles and performing detection, the target abnormal vehicle can be determined quickly and accurately. Then, the target vehicle monitoring information is fed back to the vehicle supervisor, thereby realizing rapid feedback and processing of vehicle abnormalities, and improving the real-time and processing efficiency of abnormal processing. By detecting registered vehicles in at least two monitoring dimensions, the comprehensiveness of vehicle monitoring is improved.

[0134] Corresponding to the above method embodiment, this specification also provides a vehicle monitoring device embodiment, Figure 6 FIG. 1 shows a schematic diagram of the structure of a vehicle monitoring device provided by an embodiment of the present specification. Figure 6 As shown, the device is applied to a vehicle monitoring platform, including:

[0135] The collection module 602 is configured to collect vehicle information of a plurality of registered vehicles and detect the vehicle information of each registered vehicle in at least two monitoring dimensions;

[0136] A determination module 604 is configured to determine a target abnormal vehicle from the plurality of registered vehicles according to the detection result, and determine target abnormal information from the vehicle information corresponding to the target abnormal vehicle;

[0137] The generation module 606 is configured to generate target vehicle monitoring information according to the target abnormality information and the target monitoring dimension corresponding to the target abnormality information, and feed back the target vehicle monitoring information to the vehicle supervisor of the target abnormal vehicle.

[0138] In an optional embodiment, the acquisition module 602 is further configured to:

[0139] Determine a monitoring area corresponding to the vehicle monitoring platform, and determine a plurality of registered vehicles in the monitoring area; collect registration information, online status information, location information, and vehicle attribute information of each registered vehicle as the vehicle information.

[0140] In an optional embodiment, the acquisition module 602 is further configured to:

[0141] The vehicle information of any registered vehicle is detected in at least two monitoring dimensions, including: reading the offline time information of the registered vehicle in the vehicle information and comparing it with the preset offline information as an offline risk detection of the registered vehicle in the offline risk dimension, and / or

[0142] Reading the vehicle aggregation information of the registered vehicles in the vehicle information and comparing it with the preset aggregation information as an aggregation risk detection of the registered vehicles in the aggregation risk dimension, and / or

[0143] The vehicle body detection information of the registered vehicle is read from the vehicle information and compared with the preset alarm information as an alarm risk detection of the registered vehicle in the alarm risk dimension.

[0144] In an optional embodiment, the determining module 604 is further configured to:

[0145] In a case where the target abnormal vehicle is an offline abnormal vehicle corresponding to the offline risk dimension, the offline time information is used as the target abnormal information.

[0146] In an optional embodiment, the determining module 604 is further configured to:

[0147] In the case where the target abnormal vehicle is a clustered abnormal vehicle corresponding to the clustering risk dimension, the vehicle clustering information is used as the target abnormal information.

[0148] In an optional embodiment, the determining module 604 is further configured to:

[0149] In the case where the target abnormal vehicle is an alarm abnormal vehicle corresponding to the alarm risk dimension, the vehicle body detection information is used as the target abnormal information.

[0150] In an optional embodiment, the generating module 606 is further configured to:

[0151] In the case where the target vehicle monitoring information is offline information and / or aggregated information, the party to which the target abnormal vehicle belongs is used as the vehicle supervisor, and the offline information and / or aggregated information is fed back;

[0152] In the case where the target vehicle monitoring information is warning information, the abnormality handling party of the target abnormal vehicle is used as the vehicle supervisor, and the warning information is fed back.

[0153] In an optional embodiment, the generating module 606 is further configured to:

[0154] Receive the abnormality handling information submitted by the vehicle supervisor for the target abnormal vehicle; update the status of the vehicle information of the target abnormal vehicle based on the abnormality handling information, and the status update result is used to indicate that the target abnormal vehicle is in an inspection-free state or a use state.

[0155] In summary, the vehicle monitoring method provided by an embodiment of the present specification is applied to a vehicle monitoring platform. The vehicle information of multiple registered vehicles is collected, and the vehicle information of each registered vehicle is detected in at least two monitoring dimensions; the target abnormal vehicle is determined among the multiple registered vehicles according to the detection results, and the target abnormal information is determined in the vehicle information corresponding to the target abnormal vehicle; the target vehicle monitoring information is generated according to the target abnormal information and the target monitoring dimension corresponding to the target abnormal information, and the target vehicle monitoring information is fed back to the vehicle supervisor of the target abnormal vehicle. By collecting the vehicle information of the registered vehicles and performing the detection, the target abnormal vehicle can be determined quickly and accurately. Then, the target vehicle monitoring information is fed back to the vehicle supervisor, thereby realizing the rapid feedback and processing of vehicle abnormalities, and improving the real-time and processing efficiency of abnormal processing. By detecting the registered vehicles in at least two monitoring dimensions, the comprehensiveness of vehicle monitoring is improved.

[0156] The above is a schematic scheme of a vehicle monitoring device of this embodiment. It should be noted that the technical scheme of the vehicle monitoring device and the technical scheme of the above vehicle monitoring method belong to the same concept, and the details not described in detail in the technical scheme of the vehicle monitoring device can be referred to the description of the technical scheme of the above vehicle monitoring method.

[0157] Corresponding to the above method embodiment, this specification also provides a vehicle monitoring system embodiment, Figure 7 FIG. 2 shows a schematic diagram of the structure of a vehicle monitoring system provided by an embodiment of the present specification. Figure 7 As shown, the vehicle monitoring system 700 includes a plurality of vehicle terminals 710 and a vehicle monitoring platform 720;

[0158] The vehicle terminal 710 is used to collect vehicle information based on the vehicle monitoring instruction and send it to the vehicle monitoring platform 720;

[0159] The vehicle monitoring platform 720 is used to detect the vehicle information of each registered vehicle in at least two monitoring dimensions; determine the target abnormal vehicle among the multiple registered vehicles based on the detection results, and determine the target abnormal information in the vehicle information corresponding to the target abnormal vehicle; generate target vehicle monitoring information based on the target abnormal information and the target monitoring dimensions corresponding to the target abnormal information, and feed back the target vehicle monitoring information to the vehicle supervisor of the target abnormal vehicle.

[0160] In summary, by collecting vehicle information of registered vehicles and conducting tests, target abnormal vehicles can be quickly and accurately identified. Then, the target vehicle monitoring information is fed back to the vehicle supervisor, thereby achieving rapid feedback and processing of vehicle abnormalities, improving the real-time and efficiency of abnormality processing. By testing registered vehicles in at least two monitoring dimensions, the comprehensiveness of vehicle monitoring is improved.

[0161] Figure 8 The block diagram of a computing device 800 according to an embodiment of the present specification is shown. The components of the computing device 800 include but are not limited to a memory 810 and a processor 820. The processor 820 is connected to the memory 810 via a bus 830, and a database 850 is used to store data.

[0162] The computing device 800 also includes an access device 840 that enables the computing device 800 to communicate via one or more networks 860. Examples of these networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. The access device 840 may include one or more of any type of network interface (e.g., a network interface card (NIC)) that is wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a world-wide interoperability for microwave access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, and a near field communication (NFC).

[0163] In one embodiment of the present specification, the above components of the computing device 800 and Figure 8 Other components not shown in the figure may also be connected to each other, for example, via a bus. It should be understood that Figure 8 The computing device structure block diagram shown is only for the purpose of illustration, and is not intended to limit the scope of this specification. Those skilled in the art can add or replace other components as needed.

[0164] The computing device 800 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, a personal digital assistant, a laptop computer, a notebook computer, a netbook, etc.), a mobile phone (e.g., a smart phone), a wearable computing device (e.g., a smart watch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or a personal computer (PC). The computing device 800 may also be a mobile or stationary server.

[0165] The processor 820 is used to execute the following computer executable instructions, which implement the steps of the above-mentioned vehicle monitoring method when executed by the processor.

[0166] The above is a schematic scheme of a computing device of this embodiment. It should be noted that the technical scheme of the computing device and the technical scheme of the above vehicle monitoring method belong to the same concept, and the details not described in detail in the technical scheme of the computing device can be referred to the description of the technical scheme of the above vehicle monitoring method.

[0167] An embodiment of the present specification further provides a computer-readable storage medium storing computer-executable instructions, which can implement the steps of the above-mentioned vehicle monitoring method when executed by a processor.

[0168] The above is a schematic scheme of a computer-readable storage medium of this embodiment. It should be noted that the technical scheme of the storage medium and the technical scheme of the above-mentioned vehicle monitoring method belong to the same concept, and the details not described in detail in the technical scheme of the storage medium can be referred to the description of the technical scheme of the above-mentioned vehicle monitoring method.

[0169] An embodiment of the present specification further provides a computer program, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned vehicle monitoring method.

[0170] The above is a schematic scheme of a computer program of this embodiment. It should be noted that the technical scheme of the computer program and the technical scheme of the above vehicle monitoring method belong to the same concept, and the details not described in detail in the technical scheme of the computer program can be referred to the description of the technical scheme of the above vehicle monitoring method.

[0171] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0172] The computer instructions include computer program codes, which may be in source code form, object code form, executable files or some intermediate forms, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of patent practice. For example, in some regions, according to patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0173] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of this specification are not limited by the order of the actions described, because according to the embodiments of this specification, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0174] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0175] The preferred embodiments of this specification disclosed above are only used to help explain this specification. The optional embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of the embodiments of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that technicians in the relevant technical field can understand and use this specification well. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A vehicle monitoring method, characterized in that: Applied to vehicle monitoring platform, including: Collecting vehicle information of multiple registered vehicles, and detecting the vehicle information of each registered vehicle in at least two monitoring dimensions; Determine a target abnormal vehicle among the multiple registered vehicles according to the detection result, and determine target abnormal information in the vehicle information corresponding to the target abnormal vehicle; Target vehicle monitoring information is generated according to the target abnormality information and the target monitoring dimension corresponding to the target abnormality information, and the target vehicle monitoring information is fed back to the vehicle supervisor of the target abnormal vehicle.

2. The vehicle monitoring method according to claim 1, characterized in that: The collecting of vehicle information of a plurality of registered vehicles includes: Determine a monitoring area corresponding to the vehicle monitoring platform, and determine a plurality of registered vehicles within the monitoring area; The registration information, online status information, location information and vehicle attribute information of each registered vehicle are collected as the vehicle information.

3. The vehicle monitoring method according to claim 1, characterized in that: The vehicle information of any registered vehicle is tested in at least two monitoring dimensions, including: Reading the offline time information of the registered vehicle from the vehicle information and comparing it with the preset offline information as offline risk detection of the registered vehicle in the offline risk dimension, and / or Reading the vehicle aggregation information of the registered vehicles in the vehicle information and comparing it with the preset aggregation information as an aggregation risk detection of the registered vehicles in the aggregation risk dimension, and / or The vehicle body detection information of the registered vehicle is read from the vehicle information and compared with the preset alarm information as an alarm risk detection of the registered vehicle in the alarm risk dimension.

4. The vehicle monitoring method according to claim 3, characterized in that: The determining target abnormality information in the vehicle information corresponding to the target abnormal vehicle includes: In a case where the target abnormal vehicle is an offline abnormal vehicle corresponding to the offline risk dimension, the offline time information is used as the target abnormal information.

5. The vehicle monitoring method according to claim 3, characterized in that: The determining target abnormality information in the vehicle information corresponding to the target abnormal vehicle includes: In the case where the target abnormal vehicle is a clustered abnormal vehicle corresponding to the clustering risk dimension, the vehicle clustering information is used as the target abnormal information.

6. The vehicle monitoring method according to claim 3, characterized in that: The determining target abnormality information in the vehicle information corresponding to the target abnormal vehicle includes: In the case where the target abnormal vehicle is an alarm abnormal vehicle corresponding to the alarm risk dimension, the vehicle body detection information is used as the target abnormal information.

7. The vehicle monitoring method according to claim 1, characterized in that: The step of feeding back the target vehicle monitoring information to the vehicle supervisor of the target abnormal vehicle includes: In the case where the target vehicle monitoring information is offline information and / or aggregated information, the party to which the target abnormal vehicle belongs is used as the vehicle supervisor, and the offline information and / or aggregated information is fed back; In the case where the target vehicle monitoring information is warning information, the abnormality handling party of the target abnormal vehicle is used as the vehicle supervisor, and the warning information is fed back.

8. The vehicle monitoring method according to claim 1, characterized in that: The vehicle monitoring method further includes: Receiving abnormality handling information submitted by the vehicle supervisor for the target abnormal vehicle; The vehicle information of the target abnormal vehicle is updated based on the abnormality handling information, and the status update result is used to indicate that the target abnormal vehicle is in an inspection-free state or a use state.

9. A vehicle monitoring system, characterized in that: Includes multiple vehicle terminals and vehicle monitoring platforms; The vehicle terminal is used to collect vehicle information based on the vehicle monitoring instruction and send it to the vehicle monitoring platform; The vehicle monitoring platform is used to detect the vehicle information of each registered vehicle in at least two monitoring dimensions; determine the target abnormal vehicle from the multiple registered vehicles according to the detection results, and determine the target abnormal information from the vehicle information corresponding to the target abnormal vehicle; Target vehicle monitoring information is generated according to the target abnormality information and the target monitoring dimension corresponding to the target abnormality information, and the target vehicle monitoring information is fed back to the vehicle supervisor of the target abnormal vehicle.

10. A vehicle monitoring device, characterized in that: Applied to vehicle monitoring platform, including: A collection module is configured to collect vehicle information of a plurality of registered vehicles and detect the vehicle information of each registered vehicle in at least two monitoring dimensions; a determination module configured to determine a target abnormal vehicle among the plurality of registered vehicles according to the detection result, and determine target abnormal information in the vehicle information corresponding to the target abnormal vehicle; The generation module is configured to generate target vehicle monitoring information according to the target abnormality information and the target monitoring dimension corresponding to the target abnormality information, and feed back the target vehicle monitoring information to the vehicle supervisor of the target abnormal vehicle.

11. A computing device, characterized in that: include: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the vehicle monitoring method according to any one of claims 1 to 8 are implemented.

12. A computer-readable storage medium, characterized in that: It stores computer executable instructions, which, when executed by a processor, implement the steps of the vehicle monitoring method described in any one of claims 1 to 8.

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