Data security detection method and system for Internet of Things

Abstract

The invention discloses a data security detection method and system oriented to the Internet of Things, and relates to the technical field of data analysis, and the method comprises the steps: recognizing vehicle data permission application information during the security detection of a vehicle applying for parking online, and judging the correctness of vehicle data through the permission application information. Acquiring data of a to-be-detected vehicle from a community access control equipment storage library; according to the invention, vehicle data safety detection is carried out on the vehicle applying for parking online, application information of a vehicle authorizer and vehicle data is verified, authority level analysis is carried out according to a preset parking authority mechanism to obtain a standard authorization timeliness level, and the standard authorization timeliness level and a parking authority level report are compared and analyzed to obtain a parking authority level report. The accuracy of the vehicle data is matched and analyzed, and the data security is verified from the three aspects of correctness of the application information of the vehicle data, correctness of the residence authority of the authorizer, correctness of the standard authorization timeliness level and correctness of the parking authority level of parking auditing.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a data security detection method and system for the Internet of Things. Background Art

[0002] With the rapid development of Internet of Things technology, community intelligent parking space management and control systems have been widely used. Today's community intelligent parking space management and control systems have developed from simple automated management to a more intelligent and refined direction. Various types of Internet of Things sensors, such as geomagnetic sensors and ultrasonic sensors, are usually installed on parking spaces. The system can accurately detect the occupancy of parking spaces and transmit data to the background management server in real time. While enjoying the convenience brought by the intelligent parking space management and control system, data security issues are becoming increasingly prominent. Intelligent parking data contains a large amount of sensitive information about user vehicles, such as license plate number, vehicle model, owner contact information, vehicle entry and exit time and parking location; During the operation of the community's intelligent parking system, the Internet of Things technology is used to achieve real-time monitoring and reservation of parking spaces. When users reserve parking spaces, they are applied for by the tenants themselves. During the parking process, it is impossible to accurately distinguish different categories of people and accurately allocate corresponding parking rights according to different categories of people, which may cause confusion in the allocation of parking space resources, affect the normal parking order of the community, and fail to comprehensively and accurately evaluate and detect the security status of vehicle data; In view of the above technical defects, a solution is now proposed. Summary of the invention

[0003] The purpose of the present invention is to accurately detect the security of community intelligent parking data during transmission by acquiring vehicle data in real time, promptly discover security threats caused by inconsistent data, and ensure the normal operation and data security of the parking system.

[0004] In order to achieve the above object, the present invention adopts the following technical solution: a data security detection method for the Internet of Things, comprising the following steps: Step 1: When conducting safety inspections on vehicles that apply for parking online, obtain the data of the vehicle to be inspected from the community access control device repository, and obtain the permission application information for the vehicle to enter the community. Perform vehicle permission analysis based on the permission application information to obtain the vehicle permission level, which is divided into first-time permission level, general permission level and long-term permission vehicles; Step 2: Obtain vehicle authorization to apply for community authority, find the authorizer information through the authority application information, use the authorizer information to search according to the resource library set by the community, obtain the authorizer information search report, judge the correctness of vehicle data according to the authorizer search report, and generate preliminary analysis results of vehicle data; Step 3: Obtain a search report on the information of the authorized person, match the residence information attributes of the authorized person according to the search report on the information of the authorized person, identify the suspension time of the vehicle according to the permission application information to generate a suspension time report, perform permission level analysis according to the preset parking permission mechanism according to the suspension time report, and generate a permission level report on the parking time; Step 4: Obtain the information of the authorized person, obtain the parking authority of the authorized person, generate the standard authorization time limit level, obtain the comparison analysis of the standard authorization time limit level and the parking time limit authority level report, generate the authority level comparison result to judge the compliance of the authorized vehicle parking authority, and obtain the vehicle parking authority analysis result; Step 5: Obtain the vehicle parking authority analysis results, and compare and check according to the preset parking authority matching mechanism, match and analyze the accuracy of the vehicle data, and output it to the control end that controls the community vehicle data.

[0005] Furthermore, the permission application information for the vehicle authorized to enter the community obtained in step one, the vehicle data in the permission application information includes the vehicle license plate number, application time, suspension period, authorizer and vehicle entry into the community, and is stored by the general control system.

[0006] Furthermore, obtaining the vehicle authority level specifically includes the following steps: S001. Obtain the data of the number of times vehicles enter the community, and classify the vehicles into permission levels according to the number of times T1, T2 and T3, and classify them into first-time permission level, general permission level and long-term permission level vehicles; S002, the first authorization level is T1 for vehicles entering the community, the general authorization level is T2 for vehicles entering the community, and the long-term authorization level is T3 for vehicles entering the community; S003. When the vehicle data is identified as entering the community for the first time, the vehicle is monitored and marked in real time, the vehicle's activity range is continuously observed, and the data is transmitted to the control end of the vehicle data.

[0007] Furthermore, the specific process of judging the correctness of vehicle data based on the authorized person's search report is as follows: S100, by obtaining the information of the authorizer in the application information, searching the resource library set by the community with the information of the authorizer, and obtaining a search report of the authorizer, including the authorizer's residential house information, personal registration information and authorized permission to conduct community vehicle data; S101. When it is found that the authorizer is a person in the community, it is preliminarily determined that the vehicle is applied for under normal procedures and is allowed to proceed within the community, which means that the vehicle authorization is correct.

[0008] Furthermore, according to the suspension time report, the permission level analysis is performed according to the preset parking permission mechanism: S200, matching the residence information attributes of the authorizer according to the search report of the authorizer information to obtain the residence authority report of the authorizer; S201, the authorizers include tenants, owners and property staff, and the parking authority mechanism is that the parking authority authorized by tenants is A1, the authority authorized by owners is A2, and the authority authorized by property staff is A3, and A1, A2, and A3 are authorized time periods; S202, identifying the suspension time of the vehicle according to the permission application information, obtaining a suspension time report of the vehicle in the community, searching for the authorizer according to the suspension time of the vehicle, and obtaining the analyzed authorizer type.

[0009] Furthermore, the specific process of generating the authority level comparison result to determine the compliance of the authorized vehicle parking authority is as follows: S300, obtaining the information of the authorizer, obtaining the parking authority of the authorizer, generating a standard authorization time limit level, obtaining a comparative analysis of the standard authorization time limit level and the parking time limit authority level report, and determining the consistency between the two; S301: If the standard authorization time limit level and the parking time limit permission level report are consistent, it means that the vehicle data and the user data are in a safe state; S302: If the standard authorization time limit level and the parking time limit authority level report are inconsistent, it means that the vehicle data and the user data are inaccurate.

[0010] Furthermore, the specific process of obtaining the matching analysis result for evaluating the vehicle data is as follows: S401, obtaining the vehicle parking authority analysis result, and performing a comparison check according to a preset parking authority matching mechanism; S402, assuming that the application information is correct, the residence authority of the authorizer is correct, and the standard authorization time limit level and the parking authority level of the parking review are correct, the calculation matching analysis process is as follows: Three categories X, Y, and Z are set by default, and a function f(a, b) is set. If a and b belong to the same category, then f(a, b) = 1, otherwise f(a, b) = 0. a, b, and c represent the data in the three categories. Calculated as: M= , the value range of M is , when M is 1, it means the three data are completely matched, and when it is 0, it means the three data are completely mismatched; S403. If the matching analysis output is 0, it means that the vehicle data does not match the user information, indicating that the vehicle data is in an unsafe review state; If the matching analysis output is 1, it means that the vehicle data matches the user information, indicating that the vehicle data is in a security review state.

[0011] A data security detection system for the Internet of Things, including an authorization acquisition module, an authorization verification module, a vehicle verification module, a comparison analysis module, and a result analysis module; The authorization acquisition module is used to perform safety inspections on vehicles that apply for parking online. It obtains the data of the vehicle to be inspected from the community access control device repository, and obtains the permission application information for the vehicle to enter the community. It performs vehicle permission analysis based on the permission application information, obtains the vehicle permission level, and classifies it into first-time permission level, general permission level, and long-term permission vehicles. The authorization verification module is used to obtain the vehicle authorization to apply for community authority, search according to the resource library set by the community, obtain the search report of the authorizer information, judge the correctness of the vehicle data according to the search report of the authorizer, and generate the preliminary analysis results of the vehicle data; The vehicle verification module is used to obtain a search report of the authorized person's information, match the authorized person's residence information attributes according to the search report of the authorized person's information, identify the vehicle suspension time limit according to the permission application information to generate a suspension time limit report, and perform permission level analysis according to the preset parking permission mechanism according to the suspension time limit report to generate a parking time limit permission level report; The comparison and analysis module is used to obtain the information of the authorized person, obtain the parking authority of the authorized person, generate the standard authorization time limit level, obtain the comparison and analysis of the standard authorization time limit level and the parking authority level report, generate the authority level comparison result to judge the compliance of the authorized vehicle parking authority, and obtain the vehicle parking authority analysis result; The result analysis module is used to obtain the vehicle parking authority analysis results, and compare and check according to the preset parking authority matching mechanism, obtain the matching analysis for evaluating the vehicle data and output it to the overall control system.

[0012] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: The data security detection method and system for the Internet of Things performs vehicle data security detection on vehicles that apply for parking online, verifies the application information of the vehicle authorizer and the vehicle data, performs permission level analysis according to a preset parking permission mechanism to obtain a standard authorization time limit level, and compares and analyzes the standard authorization time limit level with a parking permission permission level report to obtain a matching analysis of the accuracy of the vehicle data. The data security is verified from three aspects: the correct application information of the vehicle data, the correct residence permission of the authorizer, and the correct standard authorization time limit level and the parking permission permission level of the parking review. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A schematic diagram of the method flow structure of the present invention is shown; Figure 2A schematic diagram of the system flow structure of the present invention is shown. DETAILED DESCRIPTION

[0014] 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.

[0015] Embodiment 1:

[0016] like Figure 1 As shown, a data security detection method for the Internet of Things includes the following steps: Step 1: When conducting safety inspections on vehicles that apply for parking online, obtain the data of the vehicle to be inspected from the community access control device repository, and obtain the permission application information for the vehicle to enter the community. Perform vehicle permission analysis based on the permission application information to obtain the vehicle permission level, which is divided into first-time permission level, general permission level and long-term permission vehicles; Step 2: Obtain vehicle authorization to apply for community authority, find the authorizer information through the authority application information, use the authorizer information to search according to the resource library set by the community, obtain the authorizer information search report, judge the correctness of vehicle data according to the authorizer search report, and generate preliminary analysis results of vehicle data; Step 3: Obtain a search report on the information of the authorized person, match the residence information attributes of the authorized person according to the search report on the information of the authorized person, identify the suspension time of the vehicle according to the permission application information to generate a suspension time report, perform permission level analysis according to the preset parking permission mechanism according to the suspension time report, and generate a permission level report on the parking time; Step 4: Obtain the information of the authorized person, obtain the parking authority of the authorized person, generate the standard authorization time limit level, obtain the comparison analysis of the standard authorization time limit level and the parking time limit authority level report, generate the authority level comparison result to judge the compliance of the authorized vehicle parking authority, and obtain the vehicle parking authority analysis result; Step 5: Obtain the analysis results of vehicle parking rights, and conduct a comparison check based on the preset parking rights matching mechanism, conduct a matching analysis on the accuracy of vehicle data, and output it to the general control system, which is used to store and transmit the community vehicle data and record all data generated by vehicles in the community; The accurate analysis results of vehicle data can demonstrate the security of vehicle data during storage and transmission, thus avoiding the phenomenon of vehicle data confusion and errors caused by long-term storage of vehicle data.

[0017] The permission application information for the vehicle authorized to enter the community obtained in step 1, the vehicle data in the permission application information includes the vehicle license plate number, application time, suspension period, authorized person and vehicle entry into the community, which is stored in the general control system and the authenticity of the vehicle data is verified through the community's vehicle database.

[0018] Obtaining the vehicle authority level specifically includes the following steps: S001. Obtain the data of the number of times vehicles enter the community, and classify the vehicles into permission levels according to the number of times T1, T2 and T3, and classify them into first-time permission level, general permission level and long-term permission level vehicles; S002, the first authorization level is T1 for vehicles entering the community, the general authorization level is T2 for vehicles entering the community, and the long-term authorization level is T3 for vehicles entering the community; S003. When the vehicle data is identified as entering the community for the first time, the vehicle is monitored and marked in real time, the activity range of the vehicle is continuously observed, and the data is transmitted to the control end of the vehicle data.

[0019] The specific process of judging the correctness of vehicle data based on the authorized person's search report is as follows: S100, by obtaining the information of the authorizer in the application information, searching the resource library set by the community with the information of the authorizer, and obtaining a search report of the authorizer, including the authorizer's residential house information, personal registration information and authorized permission to conduct community vehicle data; S101. When it is found that the authorizer is a person in the community, it is preliminarily determined that the vehicle is applied for under normal procedures and is allowed to proceed within the community, which means that the vehicle authorization is correct.

[0020] Furthermore, according to the suspension time report, the permission level analysis is performed according to the preset parking permission mechanism: S200, matching the residence information attributes of the authorizer according to the search report of the authorizer information to obtain the residence authority report of the authorizer; S201, the authorizers include tenants, owners and property staff, and the parking authority mechanism is that the parking authority authorized by tenants is A1, the authority authorized by owners is A2, and the authority authorized by property staff is A3, and A1, A2, and A3 are authorized time periods; S202, identifying the suspension time of the vehicle according to the permission application information, obtaining a suspension time report of the vehicle in the community, searching for the authorizer according to the suspension time of the vehicle, and obtaining the analyzed authorizer type.

[0021] The specific process of generating the permission level comparison result to determine the compliance of the authorized vehicle parking permission is as follows: S300, obtaining the information of the authorizer, obtaining the parking authority of the authorizer, generating a standard authorization time limit level, obtaining a comparative analysis of the standard authorization time limit level and the parking time limit authority level report, and determining the consistency between the two; S301: If the standard authorization time limit level and the parking time limit permission level report are consistent, it means that the vehicle data and the user data are in a safe state; S302: If the standard authorization time limit level and the parking time limit authority level report are inconsistent, it means that the vehicle data and the user data are inaccurate.

[0022] The specific process of obtaining the matching analysis results for evaluating vehicle data is as follows: S401, obtaining the vehicle parking authority analysis result, and performing a comparison check according to a preset parking authority matching mechanism; S402, assuming that the application information is correct, the residence authority of the authorizer is correct, and the standard authorization time limit level and the parking authority level of the parking review are correct, the calculation matching analysis process is as follows: Three categories X, Y, and Z are set by default, and a function f(a, b) is set. If a and b belong to the same category, then f(a, b) = 1, otherwise f(a, b) = 0. a, b, and c represent the data in the three categories. Calculated as: M= , the value range of M is , when M is 1, it means the three data are completely matched, and when M is 0, it means the three data are completely mismatched; S403. If the matching analysis output is 0, it means that the vehicle data does not match the user information, indicating that the vehicle data is in an unsafe review state; If the matching analysis output is 1, it means that the vehicle data matches the user information, indicating that the vehicle data is in a security review state.

[0023] Embodiment 2:

[0024] like Figure 2 As shown, a data security detection system for the Internet of Things includes an authorization acquisition module, an authorization verification module, a vehicle verification module, a comparison analysis module, and a result analysis module; The authorization acquisition module is used to perform safety inspections on vehicles that apply for parking online. It obtains the data of the vehicle to be inspected from the community access control device repository, and obtains the permission application information for the vehicle to enter the community. It performs vehicle permission analysis based on the permission application information, obtains the vehicle permission level, and classifies it into first-time permission level, general permission level, and long-term permission vehicles. The authorization verification module is used to obtain the vehicle authorization to apply for community authority, search according to the resource library set by the community, obtain the search report of the authorizer information, judge the correctness of the vehicle data according to the search report of the authorizer, and generate the preliminary analysis results of the vehicle data; The vehicle verification module is used to obtain a search report of the authorized person's information, match the authorized person's residence information attributes according to the search report of the authorized person's information, identify the vehicle suspension time limit according to the permission application information to generate a suspension time limit report, and perform permission level analysis according to the preset parking permission mechanism according to the suspension time limit report to generate a parking time limit permission level report; The comparison and analysis module is used to obtain the information of the authorized person, obtain the parking authority of the authorized person, generate the standard authorization time limit level, obtain the comparison and analysis of the standard authorization time limit level and the parking authority level report, generate the authority level comparison result to judge the compliance of the authorized vehicle parking authority, and obtain the vehicle parking authority analysis result; The result analysis module is used to obtain the vehicle parking authority analysis results, and compare and check according to the preset parking authority matching mechanism, obtain the matching analysis for evaluating the vehicle data and output it to the overall control system.

[0025] The size of the interval and threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technical personnel in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0026] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. In the two embodiments provided in the present application, it should be understood that the disclosed method and system can be implemented in other ways; for example, the method and system embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed; another point, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms; The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A data security detection method for the Internet of Things, characterized in that: The following steps are involved: Step 1: When conducting safety inspections on vehicles that apply for parking online, obtain the data of the vehicle to be inspected from the community access control device repository, and obtain the permission application information for the vehicle to enter the community. Perform vehicle permission analysis based on the permission application information to obtain the vehicle permission level, which is divided into first-time permission level, general permission level and long-term permission vehicles; Step 2: Obtain vehicle authorization to apply for community authority, find the authorizer information through the authority application information, use the authorizer information to search according to the resource library set by the community, obtain the authorizer information search report, judge the correctness of vehicle data according to the authorizer search report, and generate preliminary analysis results of vehicle data; Step 3: Obtain a search report on the information of the authorized person, match the residence information attributes of the authorized person according to the search report on the information of the authorized person, identify the suspension time of the vehicle according to the permission application information, so as to generate a suspension time report of the vehicle in the community, and perform permission level analysis according to the preset parking permission mechanism according to the suspension time report to generate a permission level report of the parking time; Step 4: Obtain the information of the authorized person, obtain the parking authority of the authorized person, generate the standard authorization time limit level, obtain the comparison analysis of the standard authorization time limit level and the parking time limit authority level report, generate the authority level comparison result to judge the compliance of the authorized vehicle parking authority, and obtain the vehicle parking authority analysis result; Step 5: Obtain the vehicle parking authority analysis results, and conduct a comparative check based on the preset parking authority matching mechanism, perform a matching analysis on the accuracy of the vehicle data, and output it to the overall control system.

2. The data security detection method for the Internet of Things according to claim 1 is characterized in that: The permission application information for the vehicle to enter the community obtained in step 1, the vehicle data in the permission application information includes the vehicle license plate number, application time, suspension period, the authorizer and the number of times the vehicle enters the community, and is stored by the general control system.

3. The data security detection method for the Internet of Things according to claim 1 is characterized in that: Obtaining the vehicle authority level specifically includes the following steps: S001. Obtain the data of the number of times vehicles enter the community, and classify the vehicles into permission levels according to the number of times T1, T2 and T3, and classify them into first-time permission level, general permission level and long-term permission level vehicles; S002, vehicles with the first authorization level of T1 entering the community, vehicles with the general authorization level of T2 entering the community, and vehicles with the long-term authorization level of T3 entering the community; S003. When the vehicle data is identified as entering the community for the first time, the vehicle is monitored and marked in real time, the vehicle's activity range is continuously observed, and the data is transmitted to the control end of the vehicle data.

4. The data security detection method for the Internet of Things according to claim 1 is characterized in that: The specific process of judging the correctness of vehicle data based on the authorized person's search report is as follows: S100, by obtaining the information of the authorizer in the application information, searching the resource library set by the community with the information of the authorizer, and obtaining a search report of the authorizer, including the authorizer's residential house information, personal registration information and authorized permission to conduct community vehicle data; S101. When it is found that the authorizer is a person in the community, it is preliminarily determined that the vehicle is applied for under normal procedures and is allowed to proceed within the community, which means that the vehicle authorization is correct.

5. The data security detection method for the Internet of Things according to claim 1 is characterized in that: According to the suspension time report, the permission level analysis is carried out according to the preset parking permission mechanism: S200, matching the residence information attributes of the authorizer according to the search report of the authorizer information to obtain the residence authority report of the authorizer; S201, the authorizers include tenants, owners and property staff, and the preset parking authority mechanism is that the parking authority authorized by tenants is A1, the authority authorized by owners is A2, and the authority authorized by property staff is A3, and A1, A2, and A3 are authorized time periods; S202, identifying the suspension time of the vehicle according to the permission application information, obtaining a suspension time report of the vehicle in the community, searching for the authorizer according to the suspension time of the vehicle, and obtaining the type of the authorizer.

6. The data security detection method for the Internet of Things according to claim 1 is characterized in that: The specific process of generating the permission level comparison result to determine the compliance of the authorized vehicle parking permission is as follows: S300, obtaining the information of the authorizer, obtaining the parking authority of the authorizer, generating a standard authorization time limit level, obtaining a comparative analysis of the standard authorization time limit level and the parking time limit authority level report, and determining the consistency between the two; S301: If the standard authorization time limit level and the parking time limit permission level report are consistent, it means that the vehicle data and the user data are in a safe state; S302: If the standard authorization time limit level and the parking time limit authority level report are inconsistent, it means that the vehicle data and the user data are inaccurate.

7. The data security detection method for the Internet of Things according to claim 1 is characterized in that: The specific process of obtaining the matching analysis results for evaluating vehicle data is as follows: S401, obtaining the vehicle parking authority analysis result, and performing a comparison check according to a preset parking authority matching mechanism; S402, assuming that the application information is correct, the residence authority of the authorizer is correct, and the standard authorization time limit level and the parking authority level of the parking review are correct, the calculation matching analysis process is as follows: Three categories X, Y, and Z are set by default, and a function f(a, b) is set. If a and b belong to the same category, then f(a, b) = 1, otherwise f(a, b) = 0. a, b, and c represent the data in the three categories. Calculated as: M= , the value range of M is , when M is 1, it means the three data are completely matched, and when M is 0, it means the three data are completely mismatched; S403. If the matching analysis output is 0, it means that the vehicle data does not match the user information, indicating that the vehicle data is in an unsafe review state; If the matching analysis output is 1, it means that the vehicle data matches the user information, indicating that the vehicle data is in a security review state.

8. A data security detection system for the Internet of Things, characterized in that: It includes authorization acquisition module, authorization verification module, vehicle verification module, comparison analysis module and result analysis module; The authorization acquisition module is used to perform safety inspections on vehicles that apply for parking online. It obtains the data of the vehicle to be inspected from the community access control device repository, and obtains the permission application information for the vehicle to enter the community. It performs vehicle permission analysis based on the permission application information, obtains the vehicle permission level, and classifies it into first-time permission level, general permission level, and long-term permission vehicles. The authorization verification module is used to obtain the vehicle authorization to apply for community authority, search according to the resource library set by the community, obtain the search report of the authorizer information, judge the correctness of the vehicle data according to the search report of the authorizer, and generate the preliminary analysis results of the vehicle data; The vehicle verification module is used to obtain a search report of the authorized person's information, match the authorized person's residence information attributes according to the search report of the authorized person's information, identify the vehicle suspension time limit according to the permission application information to generate a suspension time limit report, and perform permission level analysis according to the preset parking permission mechanism according to the suspension time limit report to generate a parking time limit permission level report; The comparison and analysis module is used to obtain the information of the authorized person, obtain the parking authority of the authorized person, generate the standard authorization time limit level, obtain the comparison and analysis of the standard authorization time limit level and the parking authority level report, generate the authority level comparison result to judge the compliance of the authorized vehicle parking authority, and obtain the vehicle parking authority analysis result; The result analysis module is used to obtain the vehicle parking authority analysis results, and conduct comparative checks based on the preset parking authority matching mechanism, perform matching analysis on the accuracy of vehicle data, and output it to the overall control system.

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