Regional vehicle information platform safety supervision system and method based on Internet of Things

Abstract

The invention discloses a regional vehicle information platform safety supervision system and method based on the Internet of Things, and relates to the technical field of vehicle supervision, and the supervision method comprises the following steps: carrying out the risk assessment of the driving state of each authorized vehicle based on driving data, and obtaining the risk value of each driving record; acquiring a driving route in each driving record to obtain a driving area range; based on the risk assessment condition, whether the follow-up driving route of the authorized vehicle is tracked or not is judged; when a certain authorized vehicle is tracked, the vehicle demand condition in the driving area range is analyzed; judging whether to carry out vehicle scheduling early warning on the driving area range or not based on the vehicle scheduling condition in the driving area range; and when the vehicle scheduling early warning occurs in a certain driving area range, analyzing the vehicle scheduling condition in an adjacent area range, and screening out a target vehicle to perform vehicle scheduling in the certain driving area range.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle supervision, and in particular to a regional vehicle information platform security supervision system and method based on the Internet of Things. Background Art

[0002] The regional vehicle information platform is an information system that integrates vehicle management, dispatching, monitoring and data analysis functions, aiming to improve the efficiency and safety of vehicle operations in the region; helping to collect and analyze vehicle operation data, identify potential safety hazards and operational bottlenecks, and support decision-making; Regional vehicle information platforms usually arrange vehicles within a fixed area based on actual demand and operational strategies. The platform can identify high-demand areas based on historical data for vehicle dispatch, but it cannot cope with various emergency situations. For example, during peak hours or when emergencies occur, there may not be enough vehicles and drivers for dispatch in the area, which seriously affects the vehicle's response efficiency and the passengers' riding experience. Summary of the invention

[0003] The purpose of the present invention is to provide a regional vehicle information platform security supervision system and method based on the Internet of Things to solve the problems raised in the prior art.

[0004] To achieve the above object, the present invention provides the following technical solution: a regional vehicle information platform security supervision method based on the Internet of Things, the supervision method comprising the following steps: Step S100: Establish a vehicle data supervision platform to record the driving data of authorized vehicles, and generate corresponding driving records for each driving process of each authorized vehicle; perform risk assessment on the driving status of each authorized vehicle based on the driving data of each authorized vehicle, and obtain the risk value presented by each driving record; Step S200: Obtain the driving routes presented in each driving record of any authorized vehicle to obtain the driving area of ​​the authorized vehicle; based on the risk assessment of the authorized vehicle, determine whether to track the subsequent driving route of the authorized vehicle; Step S300: when tracking an authorized vehicle, analyzing the vehicle demand situation in the driving area where the authorized vehicle is located; based on the vehicle dispatch situation in the driving area, determining whether to issue a vehicle dispatch warning for the driving area; Step S400: When a vehicle dispatch warning occurs in a certain driving area, the vehicle dispatch situation in the adjacent area is analyzed; the driving routes of each authorized vehicle in the adjacent area are extracted, and the target vehicle is selected for vehicle dispatch to the certain driving area.

[0005] Furthermore, step S100 includes the following steps: Step S101: Authorizing all vehicles used for dispatching on the vehicle data supervision platform. When any authorized vehicle receives a dispatch reminder, it starts recording the driving data and driving route of the authorized vehicle until the vehicle completes the dispatch, generating a driving record of the authorized vehicle. Step S102: arbitrarily obtain a driving record of an authorized vehicle, set risk assessment rules of different dimensions for the driving record, and obtain risk values ​​of the driving record in different dimensions respectively; accumulate the risk values ​​in different dimensions to obtain the risk value presented by the authorized vehicle in the driving record; risk assessment of the vehicle can help the staff discover possible abnormal conditions of the vehicle in advance, and through subsequent tracking, it can help the staff to dispatch the vehicle in time to avoid insufficient vehicle dispatch in the region.

[0006] Further, step S200 includes the following steps: Step S201: randomly selecting an authorized vehicle, obtaining a driving route in any driving record of the authorized vehicle, and setting the location of the authorized vehicle when receiving a dispatch reminder and completing the dispatch as two feature points of the corresponding driving route; Step S202: extract two feature points set in each driving record of the authorized vehicle, obtain the coordinate position of each feature point and present it on the map, connect any two feature points on the map to obtain a graph; connect a number of feature points on the boundary of the graph to obtain a polygon as the driving area range of the authorized vehicle; when receiving a scheduling reminder, it is the boarding point of the authorized vehicle, and when completing the scheduling, it is the alighting point of the authorized vehicle. By capturing these two feature points, a more accurate driving range can be obtained, because the driving range will not deviate significantly from the boarding point and the alighting point. As long as there are enough feature points, most driving routes can be included; Step S203: Sort the driving records of the authorized vehicle according to the time when the records were generated, obtain the risk difference between any two adjacent driving records based on the risk values ​​presented by any two adjacent driving records, and obtain a risk difference set; determine the positive or negative status of each risk difference in the risk difference set; according to the formula: ; Where i is a positive integer and i∈(1,a), a is the total number of risk differences in the risk difference set, ΔF iis the ith risk difference in the risk difference set, and the characteristic risk difference TF of the risk difference set is calculated; if there is a risk difference ΔF that satisfies ΔF<TF and |ΔF|>TF, then the previous driving record of the two driving records corresponding to the risk difference ΔF is set as the characteristic driving record; the risk value of the authorized vehicle increases slowly under normal circumstances. If there is a risk value reduction, it means that the authorized vehicle has been repaired so that the authorized vehicle has returned to normal. Therefore, the risk value presented by the driving record with a reduced risk value can accurately judge the standard of abnormality of the vehicle; and in the process of risk assessment, there may be an error in the reduction of risk value, but this error is small in range and is greatly different from the change in risk value caused by maintenance. Therefore, the above formula can eliminate the occurrence of errors; Step S204: Extract the characteristic driving records of all authorized vehicles, obtain the risk value of each characteristic driving record, and select the risk value with the smallest value as the vehicle risk threshold F max ; Select the risk difference value ΔF with the largest value from the risk difference set max , we get the characteristic coefficient β=TF / ΔF max , according to the formula: ; Calculate the target risk value F for tracking the authorized vehicle yc ; When the risk value presented by a certain authorized vehicle in a driving record exceeds the target risk value, the authorized vehicle is tracked; if the authorized vehicle needs to be tracked, it means that the vehicle has a certain risk but does not affect normal driving at present. Therefore, the above risk difference judgment can only get the risk threshold of the vehicle abnormality, and the risk value that needs to be tracked needs to be calculated through the degree of change of the risk difference to get the characteristic coefficient, so as to further get the target risk value.

[0007] Further, step S300 includes the following steps: Step S301: Set the risk value of a newly generated driving record of an authorized vehicle to F ’ , if F ’ >F yc , then obtain the driving area of ​​the authorized vehicle; extract each feature point in the driving area, arbitrarily select a feature point, obtain the number of records of the feature point in all other driving records that are also feature points, and obtain the dispatch frequency D=M / M of the feature point total , where M total It is the total number of driving records recorded on the vehicle data supervision platform; the frequency of a feature point appearing in the driving record can directly reflect the dispatch frequency of the feature point; Step S302: Locate the current location of each authorized vehicle, count the number of vehicles in the driving area as N, obtain the driving routes of each authorized vehicle in the driving area, and set the number of routes containing the feature points in the driving route of the jth authorized vehicle as R. j , and the number of driving routes of the jth authorized vehicle is S j , the route proportion of the jth authorized vehicle is η j =R j / S j If η j >D, the jth authorized vehicle is a dispatchable vehicle; the number of dispatchable vehicles in the driving area is counted as X, and if X / N<D, a vehicle dispatch warning is issued for the driving area; the number of times the authorized vehicle passes through the feature point in the above-mentioned feature point can reflect the impact of the dispatch frequency of the feature point when the authorized vehicle is abnormal, and then by analyzing the dispatch frequency of other vehicles in the same area to the feature point, it can be obtained whether the dispatch frequency of the feature point can be compensated by other vehicles in the same area. If not, it means that other vehicles are needed for supplementary dispatch.

[0008] Furthermore, step S400 includes the following steps: Step S401: setting a driving area range where a vehicle dispatch warning occurs, obtaining each driving area range that has the same driving area range as the driving area range, and setting them as a plurality of dispatch areas; Step S402: arbitrarily select a dispatch area and obtain the authorized vehicle corresponding to the dispatch area; obtain the same area between the dispatch area and the driving area where the vehicle dispatch warning occurs, and obtain the number of feature points of the authorized vehicle in the same area as Z; count the number of records containing several feature points in the same area in each driving record of the authorized vehicle, and obtain the dispatch frequency of the authorized vehicle in the same area as f sim ; Step S403: Obtain the dispatch frequency of each feature point of the authorized vehicle in the dispatch area respectively, and calculate the average dispatch frequency f of the authorized vehicle ave , if f sim <f ave , the authorized vehicle is set as a dispatchable vehicle, and the authorized vehicle is dispatched to the driving area.

[0009] In order to better implement the above method, a regional vehicle information platform safety supervision system is also proposed. The supervision system includes a vehicle status analysis module, a vehicle route analysis module, a vehicle dispatch warning module and a real-time vehicle dispatch module; The vehicle status analysis module is used to establish a vehicle data supervision platform to record the driving data of authorized vehicles and generate corresponding driving records for each driving process of each authorized vehicle; based on the driving data of each authorized vehicle, the driving status of each authorized vehicle is risk assessed to obtain the risk value presented by each driving record; The vehicle route analysis module is used to obtain the driving route presented in each driving record of any authorized vehicle, and obtain the driving area of ​​the authorized vehicle; based on the risk assessment of the authorized vehicle, determine whether to track the subsequent driving route of the authorized vehicle; The vehicle dispatch warning module is used to analyze the vehicle demand situation in the driving area where the authorized vehicle is located when tracking the authorized vehicle; based on the vehicle dispatch situation in the driving area, determine whether to issue a vehicle dispatch warning for the driving area; The real-time vehicle dispatch module is used to analyze the vehicle dispatch situation in an adjacent area when a vehicle dispatch warning occurs in a certain driving area; extract the driving routes of each authorized vehicle in the adjacent area, and screen out the target vehicle for vehicle dispatch to the certain driving area.

[0010] Further, the vehicle status analysis module includes a driving record generation unit and a vehicle risk assessment unit; The driving record generation unit is used to establish a vehicle data supervision platform to record the driving data of authorized vehicles and generate corresponding driving records for each driving process of each authorized vehicle; the vehicle risk assessment unit is used to perform risk assessment on the driving status of each authorized vehicle based on the driving data of each authorized vehicle to obtain the risk value presented by each driving record.

[0011] Further, the vehicle route analysis module includes a region range division unit and a vehicle route tracking unit; The area range division unit is used to obtain the driving route presented in each driving record of any authorized vehicle to obtain the driving area range of the authorized vehicle; the vehicle route tracking unit is used to determine whether to track the subsequent driving route of the authorized vehicle based on the risk assessment of the authorized vehicle.

[0012] Further, the vehicle dispatch warning module includes a vehicle demand analysis unit and a dispatch warning judgment unit; The vehicle demand analysis unit is used to analyze the vehicle demand situation in the driving area where an authorized vehicle is located when tracking the authorized vehicle; the scheduling warning judgment unit is used to judge whether to issue a vehicle scheduling warning for the driving area based on the vehicle scheduling situation in the driving area.

[0013] Furthermore, the real-time vehicle dispatch module includes a driving area analysis unit and a vehicle dispatch execution unit; The driving area analysis unit is used to analyze the vehicle dispatch situation in an adjacent area when a vehicle dispatch warning occurs in a certain driving area; the vehicle dispatch execution unit is used to extract the driving routes of each authorized vehicle in the adjacent area, and screen out the target vehicle for vehicle dispatch to the certain driving area.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention analyzes the driving areas where authorized vehicles are usually located to obtain the vehicle dispatching conditions in each area, which can help determine whether the vehicle dispatching in the current driving area is reasonable, and avoid the situation where insufficient vehicle dispatching occurs due to emergencies; 2. The present invention tracks authorized vehicles with certain risk values ​​and analyzes whether there will be a shortage of vehicles at each location due to changes in the operation of authorized vehicles based on the driving routes of authorized vehicles, thereby ensuring the safety of authorized vehicles. It also arranges vehicles in areas with fewer vehicle dispatches, thereby improving the efficiency of vehicle dispatch and the user's riding experience. 3. The present invention schedules vehicles in adjacent areas and reasonably schedules areas with sufficient number of vehicles without affecting other areas, thereby reducing resource loss without affecting the overall vehicle scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A schematic diagram of the steps of a regional vehicle information platform security supervision method based on the Internet of Things; Figure 2 This is a structural diagram of the regional vehicle information platform security supervision system based on the Internet of Things. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Example: Figure 1 to Figure 2 As shown, the present invention provides a regional vehicle information platform security supervision method based on the Internet of Things, and the supervision method includes the following steps: Step S100: Establish a vehicle data supervision platform to record the driving data of authorized vehicles, and generate corresponding driving records for each driving process of each authorized vehicle; perform risk assessment on the driving status of each authorized vehicle based on the driving data of each authorized vehicle, and obtain the risk value presented by each driving record; Wherein, step S100 includes the following steps: Step S101: Authorizing all vehicles used for dispatching on the vehicle data supervision platform. When any authorized vehicle receives a dispatch reminder, it starts recording the driving data and driving route of the authorized vehicle until the vehicle completes the dispatch, generating a driving record of the authorized vehicle. Step S102: arbitrarily obtain a driving record of an authorized vehicle, set risk assessment rules of different dimensions for the driving record, and obtain risk values ​​of the driving record in different dimensions respectively; accumulate the risk values ​​in different dimensions to obtain the risk value presented by the authorized vehicle in the driving record.

[0018] Step S200: Obtain the driving routes presented in each driving record of any authorized vehicle to obtain the driving area of ​​the authorized vehicle; based on the risk assessment of the authorized vehicle, determine whether to track the subsequent driving route of the authorized vehicle; Wherein, step S200 includes the following steps: Step S201: randomly selecting an authorized vehicle, obtaining a driving route in any driving record of the authorized vehicle, and setting the location of the authorized vehicle when receiving a dispatch reminder and completing the dispatch as two feature points of the corresponding driving route; Step S202: extracting two feature points set in each driving record of the authorized vehicle, obtaining the coordinate position of each feature point and presenting them on a map, connecting any two feature points on the map to obtain a graph; connecting a plurality of feature points on the boundary of the graph to obtain a polygon as the driving area range of the authorized vehicle; Step S203: Sort the driving records of the authorized vehicle according to the time when the records were generated, obtain the risk difference between any two adjacent driving records based on the risk values ​​presented by any two adjacent driving records, and obtain a risk difference set; determine the positive or negative status of each risk difference in the risk difference set; according to the formula: ; Where i is a positive integer and i∈(1,a), a is the total number of risk differences in the risk difference set, ΔF iis the i-th risk difference in the risk difference set, and a characteristic risk difference TF of the risk difference set is calculated; if there is a risk difference ΔF satisfying ΔF<TF and |ΔF|>TF, the previous driving record of the two driving records corresponding to the risk difference ΔF is set as the characteristic driving record; Embodiment 1: The risk difference between the risk values ​​presented by any two adjacent driving records of the authorized vehicle is set to 1, 1, 2, -5, and 1 respectively; the characteristic risk difference is obtained as TF=(1+1+2+5+1) / 5=2. Since -5<2 and |-5|>2, the previous driving record of the two driving records related to the risk difference is set as the characteristic driving record, that is, the characteristic driving record indicates that the vehicle was repaired after this driving record, and the risk value presented by the characteristic driving record is higher; Step S204: Extract the characteristic driving records of all authorized vehicles, obtain the risk value of each characteristic driving record, and select the risk value with the smallest value as the vehicle risk threshold F max ; Select the risk difference value ΔF with the largest value from the risk difference set max , we get the characteristic coefficient β=TF / ΔF max , according to the formula: ; Calculate the target risk value F for tracking the authorized vehicle yc When the risk value presented by a certain authorized vehicle in a driving record exceeds the target risk value, the authorized vehicle is tracked.

[0019] Step S300: when tracking an authorized vehicle, analyzing the vehicle demand situation in the driving area where the authorized vehicle is located; based on the vehicle dispatch situation in the driving area, determining whether to issue a vehicle dispatch warning for the driving area; Wherein, step S300 includes the following steps: Step S301: Set the risk value of a newly generated driving record of an authorized vehicle to F ’ , if F ’ >F yc , then obtain the driving area of ​​the authorized vehicle; extract each feature point in the driving area, arbitrarily select a feature point, obtain the number of records of the feature point in all other driving records that are also feature points, and obtain the dispatch frequency D=M / M of the feature point total , where M total The total number of driving records recorded on the vehicle data supervision platform; Step S302: Locate the current location of each authorized vehicle, count the number of vehicles in the driving area as N, obtain the driving routes of each authorized vehicle in the driving area, and set the number of routes containing the feature points in the driving route of the jth authorized vehicle as R. j , and the number of driving routes of the jth authorized vehicle is S j , the route proportion of the jth authorized vehicle is η j =R j / S j If η j >D, the jth authorized vehicle is a dispatchable vehicle; the number of dispatchable vehicles in the driving area is counted as X, and if X / N<D, a vehicle dispatch warning is issued for the driving area; Example 2: If the dispatch frequency of an authorized vehicle at a feature point is 50%, the number of remaining authorized vehicles is 3, of which the number of routes containing the feature point are 10, 5, and 3, respectively, and the number of driving routes are 30, 20, and 30, respectively. The route proportions are 33.3%, 25%, and 10%, all less than 50%. This indicates that the vehicle dispatch at the feature point is insufficient, and a vehicle dispatch warning is required for the area.

[0020] Step S400: When a vehicle dispatch warning occurs in a certain driving area, the vehicle dispatch situation in the adjacent area is analyzed; the driving routes of each authorized vehicle in the adjacent area are extracted, and the target vehicle is selected to be dispatched to the certain driving area; Wherein, step S400 includes the following steps: Step S401: setting a driving area range where a vehicle dispatch warning occurs, obtaining each driving area range that has the same driving area range as the driving area range, and setting them as a plurality of dispatch areas; Step S402: arbitrarily select a dispatch area and obtain the authorized vehicle corresponding to the dispatch area; obtain the same area between the dispatch area and the driving area where the vehicle dispatch warning occurs, and obtain the number of feature points of the authorized vehicle in the same area as Z; count the number of records containing several feature points in the same area in each driving record of the authorized vehicle, and obtain the dispatch frequency of the authorized vehicle in the same area as f sim ; Step S403: Obtain the dispatch frequency of each feature point of the authorized vehicle in the dispatch area respectively, and calculate the average dispatch frequency f of the authorized vehicle ave , if f sim <f ave, the authorized vehicle is set as a dispatchable vehicle, and the authorized vehicle is dispatched to the driving area.

[0021] Regional vehicle information platform safety supervision system, the supervision system includes vehicle status analysis module, vehicle route analysis module, vehicle dispatch warning module and real-time vehicle dispatch module; The vehicle status analysis module is used to establish a vehicle data supervision platform to record the driving data of authorized vehicles and generate corresponding driving records for each driving process of each authorized vehicle; based on the driving data of each authorized vehicle, the driving status of each authorized vehicle is risk assessed to obtain the risk value presented by each driving record; The vehicle route analysis module is used to obtain the driving route presented in each driving record of any authorized vehicle, and obtain the driving area of ​​the authorized vehicle; based on the risk assessment of the authorized vehicle, determine whether to track the subsequent driving route of the authorized vehicle; The vehicle dispatch warning module is used to analyze the vehicle demand situation in the driving area where the authorized vehicle is located when tracking the authorized vehicle; extract the target area with abnormal vehicle dispatch in the driving area, and determine whether to issue a vehicle dispatch warning for the driving area based on the vehicle dispatch situation in the driving area; The real-time vehicle dispatch module is used to analyze the vehicle dispatch situation in an adjacent area when a vehicle dispatch warning occurs in a certain driving area; extract the driving routes of each authorized vehicle in the adjacent area, and based on the correlation between the driving routes and the certain driving area, screen out the target vehicles for vehicle dispatch to the certain driving area.

[0022] Among them, the vehicle status analysis module includes a driving record generation unit and a vehicle risk assessment unit; The driving record generation unit is used to establish a vehicle data supervision platform to record the driving data of authorized vehicles and generate corresponding driving records for each driving process of each authorized vehicle; the vehicle risk assessment unit is used to perform risk assessment on the driving status of each authorized vehicle based on the driving data of each authorized vehicle to obtain the risk value presented by each driving record.

[0023] Among them, the vehicle route analysis module includes an area range division unit and a vehicle route tracking unit; The area range division unit is used to obtain the driving route presented in each driving record of any authorized vehicle to obtain the driving area range of the authorized vehicle; the vehicle route tracking unit is used to determine whether to track the subsequent driving route of the authorized vehicle based on the risk assessment of the authorized vehicle.

[0024] Among them, the vehicle dispatch warning module includes a vehicle demand analysis unit and a dispatch warning judgment unit; The vehicle demand analysis unit is used to analyze the vehicle demand situation in the driving area where an authorized vehicle is located when tracking the authorized vehicle; the scheduling warning judgment unit is used to judge whether to issue a vehicle scheduling warning for the driving area based on the vehicle scheduling situation in the driving area.

[0025] Among them, the real-time vehicle dispatch module includes a driving area analysis unit and a vehicle dispatch execution unit; The driving area analysis unit is used to analyze the vehicle dispatch situation in an adjacent area when a vehicle dispatch warning occurs in a certain driving area; the vehicle dispatch execution unit is used to extract the driving routes of each authorized vehicle in the adjacent area, and screen out the target vehicle for vehicle dispatch to the certain driving area.

[0026] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A regional vehicle information platform security supervision method based on the Internet of Things, characterized by: The supervision method comprises the following steps: Step S100: Establish a vehicle data supervision platform to record the driving data of authorized vehicles, and generate corresponding driving records for each driving process of each authorized vehicle; perform risk assessment on the driving status of each authorized vehicle based on the driving data of each authorized vehicle, and obtain the risk value presented by each driving record; Step S200: Obtain the driving routes presented in each driving record of any authorized vehicle to obtain the driving area of ​​the authorized vehicle; based on the risk assessment of the authorized vehicle, determine whether to track the subsequent driving route of the authorized vehicle; Step S300: when tracking an authorized vehicle, analyzing the vehicle demand situation in the driving area where the authorized vehicle is located; based on the vehicle dispatch situation in the driving area, determining whether to issue a vehicle dispatch warning for the driving area; Step S400: When a vehicle dispatch warning occurs in a certain driving area, the vehicle dispatch situation in the adjacent area is analyzed; the driving routes of each authorized vehicle in the adjacent area are extracted, and the target vehicle is selected for vehicle dispatch to the certain driving area.

2. The method for security supervision of regional vehicle information platform based on Internet of Things according to claim 1 is characterized by: The step S100 includes the following steps: Step S101: Authorizing all vehicles used for dispatching on the vehicle data supervision platform. When any authorized vehicle receives a dispatch reminder, it starts recording the driving data and driving route of the authorized vehicle until the vehicle completes the dispatch, generating a driving record of the authorized vehicle. Step S102: arbitrarily obtain a driving record of an authorized vehicle, set risk assessment rules of different dimensions for the driving record, and obtain risk values ​​of the driving record in different dimensions respectively; accumulate the risk values ​​in different dimensions to obtain the risk value presented by the authorized vehicle in the driving record.

3. The method for security supervision of regional vehicle information platform based on Internet of Things according to claim 2 is characterized in that: The step S200 includes the following steps: Step S201: randomly selecting an authorized vehicle, obtaining a driving route in any driving record of the authorized vehicle, and setting the location of the authorized vehicle when receiving a dispatch reminder and completing the dispatch as two feature points of the corresponding driving route; Step S202: extracting two feature points set in each driving record of the authorized vehicle, obtaining the coordinate position of each feature point and presenting them on a map, connecting any two feature points on the map to obtain a graph; connecting a plurality of feature points on the boundary of the graph to obtain a polygon as the driving area range of the authorized vehicle; Step S203: Sort the driving records of the authorized vehicle according to the time when the records were generated, obtain the risk difference between any two adjacent driving records based on the risk values ​​presented by any two adjacent driving records, and obtain a risk difference set; determine the positive or negative status of each risk difference in the risk difference set; according to the formula: ； Where i is a positive integer and i∈(1,a), a is the total number of risk differences in the risk difference set, ΔF i is the i-th risk difference in the risk difference set, and a characteristic risk difference TF of the risk difference set is calculated; if there is a risk difference ΔF satisfying ΔF<TF and |ΔF|>TF, the previous driving record of the two driving records corresponding to the risk difference ΔF is set as the characteristic driving record; Step S204: Extract the characteristic driving records of all authorized vehicles, obtain the risk value of each characteristic driving record, and select the risk value with the smallest value as the vehicle risk threshold F max ; Select the risk difference value ΔF with the largest value from the risk difference set max , we get the characteristic coefficient β=TF / ΔF max , according to the formula: ； Calculate the target risk value F for tracking the authorized vehicle yc When the risk value presented by a certain authorized vehicle in a driving record exceeds the target risk value, the authorized vehicle is tracked.

4. The method for security supervision of regional vehicle information platform based on Internet of Things according to claim 3 is characterized in that: The step S300 includes the following steps: Step S301: Set the risk value of a newly generated driving record of an authorized vehicle to F ’ , if F ’ >F yc , then obtain the driving area of ​​the authorized vehicle; extract each feature point in the driving area, arbitrarily select a feature point, obtain the number of records of the feature point in all other driving records that are also feature points, and obtain the dispatch frequency D=M / M of the feature point total , where M total The total number of driving records recorded on the vehicle data supervision platform; Step S302: Locate the current location of each authorized vehicle, count the number of vehicles in the driving area as N, obtain the driving routes of each authorized vehicle in the driving area, and set the number of routes containing the feature points in the driving route of the jth authorized vehicle as R. j , and the number of driving routes of the jth authorized vehicle is S j , the route proportion of the jth authorized vehicle is η j =R j / S j If η j >D, the jth authorized vehicle is a dispatchable vehicle; the number of dispatchable vehicles in the driving area is counted as X, and if X / N<D, a vehicle dispatch warning is issued for the driving area.

5. The method for security supervision of regional vehicle information platform based on Internet of Things according to claim 4 is characterized in that: The step S400 includes the following steps: Step S401: setting a driving area range where a vehicle dispatch warning occurs, obtaining each driving area range that has the same driving area range as the driving area range, and setting them as a plurality of dispatch areas; Step S402: arbitrarily select a dispatch area and obtain the authorized vehicle corresponding to the dispatch area; obtain the same area between the dispatch area and the driving area where the vehicle dispatch warning occurs, and obtain the number of feature points of the authorized vehicle in the same area as Z; count the number of records containing several feature points in the same area in each driving record of the authorized vehicle, and obtain the dispatch frequency of the authorized vehicle in the same area as f sim ; Step S403: Obtain the dispatch frequency of each feature point of the authorized vehicle in the dispatch area respectively, and calculate the average dispatch frequency f of the authorized vehicle ave , if f sim <f ave , the authorized vehicle is set as a dispatchable vehicle, and the authorized vehicle is dispatched to the driving area.

6. A regional vehicle information platform security supervision system, used to execute the regional vehicle information platform security supervision method based on the Internet of Things according to any one of claims 1 to 5, characterized in that: The supervision system includes a vehicle status analysis module, a vehicle route analysis module, a vehicle dispatch warning module and a real-time vehicle dispatch module; The vehicle status analysis module is used to establish a vehicle data supervision platform to record the driving data of authorized vehicles and generate corresponding driving records for each driving process of each authorized vehicle; based on the driving data of each authorized vehicle, the driving status of each authorized vehicle is risk assessed to obtain the risk value presented by each driving record; The vehicle route analysis module is used to obtain the driving route presented in each driving record of any authorized vehicle, and obtain the driving area of ​​the authorized vehicle; based on the risk assessment of the authorized vehicle, determine whether to track the subsequent driving route of the authorized vehicle; The vehicle dispatch warning module is used to analyze the vehicle demand situation in the driving area where the authorized vehicle is located when tracking the authorized vehicle; based on the vehicle dispatch situation in the driving area, determine whether to issue a vehicle dispatch warning for the driving area; The real-time vehicle dispatch module is used to analyze the vehicle dispatch situation in an adjacent area when a vehicle dispatch warning occurs in a certain driving area; extract the driving routes of each authorized vehicle in the adjacent area, and screen out the target vehicle for vehicle dispatch to the certain driving area.

7. The regional vehicle information platform safety supervision system according to claim 6 is characterized by: The vehicle status analysis module includes a driving record generation unit and a vehicle risk assessment unit; The driving record generation unit is used to establish a vehicle data supervision platform to record the driving data of authorized vehicles and generate a corresponding driving record for each driving process of each authorized vehicle; the vehicle risk assessment unit is used to perform a risk assessment on the driving status of each authorized vehicle based on the driving data of each authorized vehicle to obtain the risk value presented by each driving record.

8. The regional vehicle information platform safety supervision system according to claim 6 is characterized by: The vehicle route analysis module includes an area range division unit and a vehicle route tracking unit; The area range division unit is used to obtain the driving route presented in each driving record of any authorized vehicle to obtain the driving area range of the authorized vehicle; the vehicle route tracking unit is used to determine whether to track the subsequent driving route of the authorized vehicle based on the risk assessment of the authorized vehicle.

9. The regional vehicle information platform safety supervision system according to claim 6 is characterized by: The vehicle dispatch warning module includes a vehicle demand analysis unit and a dispatch warning judgment unit; The vehicle demand analysis unit is used to analyze the vehicle demand situation in the driving area where a certain authorized vehicle is located when tracking the authorized vehicle; the dispatch warning judgment unit is used to judge whether to issue a vehicle dispatch warning for the driving area based on the vehicle dispatch situation in the driving area.

10. The regional vehicle information platform safety supervision system according to claim 6 is characterized by: The real-time vehicle dispatch module includes a driving area analysis unit and a vehicle dispatch execution unit; The driving area analysis unit is used to analyze the vehicle dispatch situation in an adjacent area when a vehicle dispatch warning occurs in a certain driving area; the vehicle dispatch execution unit is used to extract the driving routes of each authorized vehicle in the adjacent area, and screen out the target vehicle for vehicle dispatch to the certain driving area.

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