Multi-element networking charging pipeline cross validation treatment method and system and storage medium

Abstract

The invention discloses a multi-element networking charging pipeline cross validation treatment method and system and a storage medium, and belongs to the technical field of traffic control. The method comprises the following steps: acquiring ETC flow information, ETC equipment data, special situation type data and vehicle medium information, wherein the ETC flow information comprises vehicle driving data and vehicle abnormal data; the method comprises the steps of obtaining an ETC network evaluation value according to the special situation type data through comprehensive analysis, obtaining an ETC equipment evaluation value according to the ETC equipment data through comprehensive analysis, obtaining a flow abnormity evaluation threshold value according to the ETC equipment evaluation value, obtaining a flow abnormity evaluation value according to the ETC network evaluation value, the ETC equipment evaluation value and the vehicle abnormity data through comprehensive analysis, and obtaining a flow abnormity evaluation threshold value according to the flow abnormity evaluation threshold value. Screening is carried out according to the flow abnormality evaluation value to obtain an invalid flow; the ETC portal layout information is obtained, and the fee is calculated for the invalid flow by using the vehicle driving data and the ETC portal layout, so that the accurate evaluation and anomaly detection of the ETC fee collection flow are realized.

Description

Technical Field

[0001] The present invention relates to the field of traffic control technology, and in particular to a method, system and storage medium for managing cross-verification of multi-network toll flow. Background Art

[0002] With the rapid development of digitalization and informatization, networked toll collection systems have been widely used in transportation fields such as roads, bridges, and tunnels, becoming the main means of toll collection. In order to ensure the accuracy, integrity, and security of toll collection data and improve the overall efficiency of the toll collection system, cross-validation governance methods have emerged.

[0003] The existing online fee flow management method needs to comprehensively consider data collection and integration, cross-validation mechanism, risk identification and early warning, continuous optimization and iteration, compliance and supervision, etc. Through this method, the authenticity and accuracy of fee flow can be ensured, and the risk of fraud and erroneous transactions can be reduced.

[0004] For example, the invention patent announcement with announcement number: CN115083155B discloses a method for calculating the number of ETC lanes that a highway toll station should have, including: calculating the comprehensive travel time for normal ETC vehicles at the toll station entrance and exit respectively; calculating the efficiency of ETC manual guidance; calculating the ETC lane capacity at the toll station entrance and exit respectively based on the comprehensive travel time for normal ETC vehicles at the toll station entrance and exit; obtaining the 30th hourly traffic volume at the highway entrance and exit throughout the year as the estimated peak hourly traffic volume Qr at the toll station entrance and the estimated peak hourly traffic volume Qc at the exit; and calculating the number of ETC lanes that should be at the toll station entrance and exit respectively.

[0005] For example, the patent application with publication number: CN114399907A discloses a system and method based on ETC data governance and cross-border and cross-organization real-time sharing, including: Step 1: Receiving high-speed ETC data; Step 2: Converting the high-speed ETC data into a traffic police integrated command platform plug-in protocol WEBSERVICE format message; Step 3: Performing a traffic police integrated command platform plug-in protocol WEBSERVICE format message protocol adaptation conversion operation at one end of the border; Step 4: Restoring the data into a traffic police integrated command platform plug-in protocol WEBSERVI CE format message at the other end of the border.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, when processing a large amount of data, the accuracy of ETC equipment data collection fluctuates, thereby reducing the accuracy of online billing flow. Summary of the invention

[0008] The present invention solves the problem in the prior art that when processing a large amount of data, the accuracy of ETC device data collection fluctuates, thereby reducing the accuracy of online billing flow, and improving the accuracy of data processing, by providing a cross-validation management method, system and storage medium for multi-networked charging flow.

[0009] The present invention provides a multi-network toll flow cross-validation management method, comprising the following steps: obtaining ETC flow information, ETC equipment data, special situation type data and vehicle medium information, wherein the ETC flow information includes vehicle driving data and vehicle abnormality data; obtaining an ETC network evaluation value according to a comprehensive analysis of the special situation type data, obtaining an ETC device evaluation value according to a comprehensive analysis of the ETC equipment data, and obtaining a flow abnormality evaluation threshold according to the ETC device evaluation value, obtaining a flow abnormality evaluation value according to a comprehensive analysis of the ETC network evaluation value, the ETC equipment evaluation value and the vehicle abnormality data, and screening according to the flow abnormality evaluation value to obtain invalid flow; obtaining ETC gantry layout information, and calculating charges for invalid flow using vehicle driving data and the ETC gantry layout.

[0010] Furthermore, the step of obtaining an ETC network evaluation value based on a comprehensive analysis of special situation type data includes: the special situation type data includes network signal strength, network delay and data transmission rate; obtaining critical network signal strength, critical network delay and critical data transmission rate from the ETC flow database; and obtaining the ETC network evaluation value through comprehensive analysis.

[0011] Furthermore, the step of obtaining an ETC equipment evaluation value based on a comprehensive analysis of the ETC equipment data includes: the ETC equipment data includes ETC battery power, antenna transmission power and communication signal strength; obtaining the critical ETC battery power, critical antenna transmission power, reference communication signal strength and allowable deviation communication signal strength from the ETC flow database; and obtaining the ETC equipment evaluation value through comprehensive analysis.

[0012] Furthermore, the step of obtaining a flow abnormality evaluation value based on a comprehensive analysis of the ETC network evaluation value, the ETC equipment evaluation value and the vehicle abnormality data includes: the vehicle abnormality data includes the vehicle speed and the vehicle distance; obtaining the critical vehicle speed, the reference vehicle distance, the allowable deviation vehicle distance, the critical ETC network evaluation value and the critical ETC equipment evaluation value from the ETC flow database; and obtaining the flow abnormality evaluation value through comprehensive analysis.

[0013] Furthermore, the method for obtaining the abnormal flow evaluation value is as follows:

[0014]

[0015] In the formula, ξF represents the abnormal evaluation value of water flow, α1 Indicates the flow anomaly assessment impact factor corresponding to the ETC network assessment value, α 2 Indicates the flow anomaly assessment impact factor corresponding to the ETC equipment assessment value, α 3 represents the impact factor of water flow anomaly assessment corresponding to vehicle speed, α 4 represents the impact factor of water flow anomaly assessment corresponding to vehicle distance, ξE 1 represents the ETC network evaluation value, ξE 0 represents the critical ETC network evaluation value, ξD 1 represents the ETC equipment evaluation value, ξD 0 Represents the critical ETC equipment evaluation value, V 1 Represents the vehicle speed, V 0 represents the critical vehicle speed, D 1 Indicates the vehicle distance, D 0 Denotes the reference vehicle distance, D 2 It represents the allowable deviation vehicle distance, and e is a natural constant.

[0016] Furthermore, the step of screening according to the water flow abnormality evaluation value includes: comparing the water flow abnormality evaluation value with the water flow abnormality evaluation threshold; if the water flow abnormality evaluation value is less than the water flow abnormality evaluation threshold, marking the water flow as valid water flow, and performing secondary screening according to the vehicle medium information; if the water flow abnormality evaluation value is greater than or equal to the water flow abnormality evaluation threshold, marking the water flow as invalid water flow.

[0017] Furthermore, the step of calculating charges for invalid flow using vehicle driving data and ETC gantry layout includes: the vehicle driving data includes each ETC gantries passed by the vehicle, the time when the vehicle passes through each ETC gantries, and the vehicle import and export gantry records, wherein the vehicle import and export gantry records include the vehicle import and export gantries and the vehicle import and export gantry time; matching and verifying the vehicle import and export gantries and the vehicle import and export gantry time, if the vehicle import and export information is correct, charging according to the vehicle import and export fees, if the vehicle import and export information is missing or wrong, then according to the ETC gantry layout and the vehicle passing each ETC gantries according to the vehicle passing each ETC gantries time, the vehicle passing each ETC gantries are associated and matched, and the charges are calculated according to the vehicle passing each ETC gantries.

[0018] Furthermore, the step of performing secondary screening based on the vehicle medium information includes: obtaining the medium information of each ETC gantry through which the vehicle passes; if the number of media through which the vehicle passes is 1, no subsequent operation is performed; if the number of media through which the vehicle passes is greater than 1, obtaining the exit gantry flow record of each medium of the vehicle, and matching it according to the vehicle exit gantry time; if the vehicle exit gantry time of each medium of the vehicle is less than 120 seconds, marking the flow as multi-media flow, and retaining one of the flows.

[0019] An embodiment of the present application provides a multi-networked toll flow cross-validation management system, which includes a data acquisition module, a flow analysis module, a charge calculation module and an ETC flow database; wherein the data acquisition module is used to obtain ETC flow information, ETC equipment data, special situation type data and vehicle medium information, and the ETC flow information includes vehicle driving data and vehicle abnormality data; the flow analysis module is used to obtain an ETC network evaluation value based on a comprehensive analysis of the special situation type data, obtain an ETC equipment evaluation value based on a comprehensive analysis of the ETC equipment data, and obtain a flow abnormality evaluation threshold based on the ETC equipment evaluation value, obtain a flow abnormality evaluation value based on a comprehensive analysis of the ETC network evaluation value, the ETC equipment evaluation value and the vehicle abnormality data, and screen according to the flow abnormality evaluation value to obtain invalid flow; the charge calculation module is used to obtain ETC gantry layout information, and calculate the charge for invalid flow using vehicle driving data and the ETC gantry layout.

[0020] An embodiment of the present application provides a computer-readable storage medium for storing a program, which, when executed by a processor, implements a method for cross-validation management of multi-network charging flows.

[0021] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0022] 1. The present invention provides a multi-networked toll flow cross-validation management method, so that it can comprehensively acquire and analyze ETC flow information, ETC equipment data, special situation type data and vehicle medium information, thereby realizing accurate evaluation and anomaly detection of ETC toll flow, and improving the accuracy and reliability of flow data.

[0023] 2. The present invention can accurately identify and eliminate ETC toll transactions with abnormalities by screening according to transaction anomaly evaluation values, thereby achieving precise management and optimization of ETC toll data.

[0024] 3. The present invention obtains the flow anomaly assessment threshold according to the ETC device evaluation value, so as to set reasonable anomaly judgment standards according to the operating status and performance differences of different ETC devices, thereby realizing accurate analysis and anomaly detection of ETC flow data. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A flow chart of the cross-validation management method for multi-networked charging flows provided in an embodiment of the present application.

[0026] Figure 2 A graph showing changes in the ETC equipment evaluation value of the multi-networked charging flow cross-validation management method provided in an embodiment of the present application.

[0027] Figure 3 A schematic diagram of the structure of the multi-networked fee flow cross-validation management system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The embodiments of the present application provide a multi-networked toll flow cross-validation management method, system and storage medium to solve the problem in the prior art that when processing a large amount of data, the accuracy of ETC device data collection fluctuates, thereby reducing the accuracy of online billing flow. The ETC network evaluation value is obtained by comprehensive analysis of special situation type data, the ETC device evaluation value is obtained by comprehensive analysis of ETC device data, and the flow abnormality evaluation threshold is obtained according to the ETC device evaluation value. The flow abnormality evaluation value is obtained by comprehensive analysis of the ETC network evaluation value, the ETC device evaluation value and the vehicle abnormal data, and the invalid flow is screened according to the flow abnormality evaluation value; the ETC gantry layout information is obtained, and the invalid flow is calculated using the vehicle driving data and the ETC gantry layout to improve the accuracy of data processing.

[0029] The technical solution in the embodiment of the present application is to solve the above problem that when processing a large amount of data, the accuracy of ETC device data collection fluctuates, thereby reducing the accuracy of online billing flow. The overall idea is as follows:

[0030] By acquiring ETC flow information, ETC equipment data, special situation type data and vehicle medium information, the ETC flow information includes vehicle driving data and vehicle abnormality data; obtaining an ETC network evaluation value based on a comprehensive analysis of the special situation type data, obtaining an ETC equipment evaluation value based on a comprehensive analysis of the ETC equipment data, and obtaining a flow abnormality evaluation threshold based on the ETC equipment evaluation value, obtaining a flow abnormality evaluation value based on a comprehensive analysis of the ETC network evaluation value, the ETC equipment evaluation value and the vehicle abnormality data, and screening based on the flow abnormality evaluation value to obtain invalid flow; acquiring ETC gantry layout information, calculating charges for invalid flow using vehicle driving data and the ETC gantry layout, thereby enhancing the stability and reliability of the ETC system.

[0031] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0032] like Figure 1 As shown, it is a flow chart of the cross-validation management method of multi-networked toll flow provided in an embodiment of the present application, the method comprising the following steps: obtaining ETC flow information, ETC equipment data, special situation type data and vehicle medium information, the ETC flow information including vehicle driving data and vehicle abnormality data; obtaining an ETC network evaluation value based on a comprehensive analysis of the special situation type data, obtaining an ETC equipment evaluation value based on a comprehensive analysis of the ETC equipment data, and obtaining a flow abnormality evaluation threshold based on the ETC equipment evaluation value, obtaining a flow abnormality evaluation value based on a comprehensive analysis of the ETC network evaluation value, the ETC equipment evaluation value and the vehicle abnormality data, and screening according to the flow abnormality evaluation value to obtain invalid flow; obtaining ETC gantry layout information, and calculating charges for invalid flow using vehicle driving data and the ETC gantry layout.

[0033] In this embodiment, ETC (full name Electronic Toll Collection, i.e., electronic toll collection system) flow refers to the record generated by the ETC gantry system according to the vehicle highway medium to complete the billing. When obtaining the flow abnormality assessment threshold value according to the ETC device evaluation value, the ETC device evaluation value is matched with the flow abnormality assessment threshold value corresponding to each ETC device evaluation value interval preset in the ETC flow database, and the flow abnormality assessment threshold value corresponding to the ETC device evaluation value can be obtained. The flow abnormality assessment threshold value is a critical value used to determine whether the ETC flow data is abnormal. When matching, since the flow abnormality assessment threshold value corresponding to each ETC device evaluation value interval forms a mapping set, the calculated ETC device evaluation value can be input into the mapping set, and compared with each ETC device evaluation value interval one by one to obtain the ETC device evaluation value interval to which the ETC device evaluation value belongs, and the corresponding flow abnormality assessment threshold value is found according to the ETC device evaluation value interval. By dynamically adjusting the judgment criteria of flow anomalies, anomaly detection is made more consistent with the actual operating status of the current ETC equipment, thereby reducing false alarms and missed alarms. By comprehensively analyzing and evaluating ETC flow information, equipment data and environmental data, invalid flow can be identified more accurately, thereby reducing charging errors caused by equipment failure, environmental interference and other factors; through continuous analysis and optimization of ETC data, the functions and performance of the ETC system can be continuously improved, the competitiveness and market share of the system can be improved, and the sustainable development of the ETC system can be promoted. In addition, the ETC flow database is used to store data related to the cross-validation governance method of multi-network toll flow, including: transaction verification code, transaction type identification, terminal number, physical address of the on-board unit, hexadecimal representation number of each gantry, hexadecimal representation value of the opposite gantry of each gantry, OBU (i.e. on-board unit) / CPC (highway composite pass card) card power percentage, special situation type, check code, interference signal, erroneous transaction mark, etc. The data in the ETC flow database can be directly queried through the relevant data center or cloud storage platform, or obtained through cooperation with highway management departments, traffic law enforcement departments or third-party data providers.

[0034] Furthermore, the step of obtaining an ETC network evaluation value based on a comprehensive analysis of special situation type data includes: the special situation type data includes network signal strength, network delay and data transmission rate; obtaining critical network signal strength, critical network delay and critical data transmission rate from the ETC flow database; and obtaining the ETC network evaluation value through comprehensive analysis.

[0035] The ETC network evaluation value is obtained as follows:

[0036]

[0037] In the formula, ξE 1 represents the ETC network evaluation value, β 1 Indicates the ETC network evaluation impact factor corresponding to the network signal strength, β 2 Indicates the ETC network evaluation impact factor corresponding to network delay, β 3 Indicates the ETC network evaluation impact factor corresponding to the data transmission rate, I 1 Indicates the network signal strength, I 0 Indicates the critical network signal strength, P 1 represents network delay, P 0 represents the critical network delay, V 1 Indicates the data transmission rate, V 0 Indicates the critical data transfer rate.

[0038] β 1 , β 2 and β 3 The ETC network evaluation influencing factors corresponding to the network signal strength, network delay and data transmission rate preset in the ETC flow database respectively represent the numerical values ​​of the degree of influence of the network signal strength, network delay and data transmission rate on the ETC network evaluation value, and can be directly obtained from the ETC flow database when used. For example, the network signal strength and the ETC network evaluation influencing factors corresponding to the network signal strength preset in the ETC flow database form a mapping set, and the ETC network evaluation influencing factors corresponding to the network signal strength are obtained by inputting the mapping set according to the network signal strength; the network delay and the ETC network evaluation influencing factors corresponding to the network delay preset in the ETC flow database form a mapping set, and the ETC network evaluation influencing factors corresponding to the network delay are obtained by inputting the mapping set according to the network delay; the data transmission rate and the ETC network evaluation influencing factors corresponding to the data transmission rate preset in the ETC flow database form a mapping set, and the ETC network evaluation influencing factors corresponding to the data transmission rate are obtained by inputting the mapping set according to the data transmission rate, wherein the mapping relationship is a many-to-one or one-to-one relationship, and the value range of the influencing factor in this embodiment is between 0 and 1.

[0039] In this embodiment, the network signal strength can be measured using professional signal measuring equipment such as a network signal tester; the network delay is monitored by network delay monitoring software such as the Global Network Test APP; the data transmission rate can be measured using network testing tools such as the Petal Speed ​​Test APP. There is a certain correlation between network signal strength, network delay, and data transmission rate. For example, higher signal strength generally means higher data transmission rate and lower network delay, because strong signals can provide better communication quality and higher bandwidth utilization. By comprehensively considering network signal strength, network delay, and data transmission rate, the performance and quality of the ETC network can be accurately evaluated, providing a strong basis for network optimization and improvement.

[0040] Furthermore, the step of obtaining an ETC equipment evaluation value based on a comprehensive analysis of the ETC equipment data includes: the ETC equipment data includes ETC battery power, antenna transmission power and communication signal strength; obtaining the critical ETC battery power, critical antenna transmission power, reference communication signal strength and allowable deviation communication signal strength from the ETC flow database; and obtaining the ETC equipment evaluation value through comprehensive analysis.

[0041] The ETC equipment evaluation value is obtained as follows:

[0042]

[0043] Where, ξD 1 represents the ETC equipment evaluation value, β 4 Indicates the ETC equipment evaluation impact factor corresponding to the ETC battery power, β 5 Indicates the ETC equipment evaluation impact factor corresponding to the antenna transmission power, β 6 Indicates the ETC equipment evaluation impact factor corresponding to the communication signal strength, Q 1 Indicates the ETC battery power, Q 0 Indicates the critical ETC battery power, A 1 Indicates the antenna transmission power, A 0 represents the critical antenna transmission power, C 1 Indicates the communication signal strength, C 0 Indicates the reference communication signal strength, C 2 Indicates the allowable deviation communication signal strength.

[0044] β 4 , β 5 and β 6The ETC device evaluation impact factors corresponding to the ETC battery power, antenna transmission power and communication signal strength preset in the ETC flow database respectively represent the numerical values ​​of the influence degree of the ETC battery power, antenna transmission power and communication signal strength on the ETC device evaluation value, and can be directly obtained from the ETC flow database when used. For example, the ETC battery power and the ETC device evaluation impact factors corresponding to the ETC battery power preset in the ETC flow database form a mapping set, and the ETC device evaluation impact factor corresponding to the ETC battery power is obtained according to the ETC battery power input mapping set; the antenna transmission power and the ETC device evaluation impact factors corresponding to the antenna transmission power preset in the ETC flow database form a mapping set, and the ETC device evaluation impact factor corresponding to the antenna transmission power is obtained according to the antenna transmission power input mapping set; the communication signal strength and the ETC device evaluation impact factors corresponding to the communication signal strength preset in the ETC flow database form a mapping set, and the ETC device evaluation impact factor corresponding to the communication signal strength is obtained according to the communication signal strength input mapping set, wherein the mapping relationship is a many-to-one or one-to-one relationship, and the value range of the impact factor in this embodiment is between 0 and 1.

[0045] In this embodiment, the ETC battery power can be the power of the OBU or CPC card, which is directly read by the ETC antenna. The battery power level directly affects the continuous working time and performance stability of the ETC device; the antenna transmission power can be obtained by directly measuring the ETC monitoring point using professional measuring equipment such as a power meter. The greater the antenna transmission power, the wider the signal coverage range and the higher the stability of communication with the roadside unit; the communication signal strength can be directly measured using professional testing equipment such as a signal strength tester. The closer the communication signal strength is to the reference communication signal strength, the higher the accuracy and reliability of the data transmission. Too low communication signal strength may cause communication failure or data loss, and too high communication signal strength may affect the oncoming vehicle signal and cause identification errors. When the ETC battery is fully charged, it can support the antenna to transmit signals at a higher power, thereby improving the communication signal strength. On the contrary, if the battery is insufficient, the antenna transmission power may be reduced, resulting in a weakened communication signal strength, which in turn affects the communication quality between the ETC device and the RSU (Road Side Unit). The RSU is a device installed on the roadside in the ETC system, which uses DSRC technology (Dedicated Short Range Communication, i.e. dedicated short-range communication technology) to communicate with the OBU (On Board Unit, i.e. on-board unit) to achieve vehicle identification and electronic deduction. By comprehensively analyzing the ETC battery power, antenna transmission power and communication signal strength, the ETC device evaluation value obtained reflects the overall performance and communication quality of the ETC device in the current working state, which helps to identify potential performance bottlenecks or fault points, and provides a basis for equipment maintenance and optimization. By comparing the ETC device evaluation values ​​at different times and locations, the stability and reliability of the equipment can be evaluated.

[0046] The ETC equipment evaluation impact factor corresponding to the ETC battery power is set to 0.2, the ETC equipment evaluation impact factor corresponding to the antenna transmission power is set to 0.4, the ETC equipment evaluation impact factor corresponding to the communication signal strength is set to 0.4, the ETC battery power is set to 60%, the critical ETC battery power is set to 20%, the antenna transmission power is set to 1200w, the critical antenna transmission power is set to 1000w, the reference communication signal strength is set to -10dBm, the allowable deviation communication signal strength is set to 2dBm, and the ETC equipment evaluation value is calculated under the condition of increasing communication signal strength. As shown in Table 1, the ETC equipment evaluation value data table based on the multivariate networked toll flow cross-validation governance method.

[0047] Table 1 ETC equipment evaluation value data table based on multi-network toll flow cross-validation management method

[0048] serial number <![CDATA[C 1 ]]> <![CDATA[ξD 1 ]]> 1 -8 0.873 2 -9 0.901 3 -10 0.954 4 -11 0.901 5 -12 0.873

[0049] like Figure 2 As shown in Table 1 and Figure 2 It can be seen that when the ETC device evaluation influence factor corresponding to the ETC battery power, the ETC device evaluation influence factor corresponding to the antenna transmission power, the ETC device evaluation influence factor corresponding to the communication signal strength, the ETC battery power, the critical ETC battery power, the antenna transmission power, the critical antenna transmission power, the reference communication signal strength and the allowable deviation communication signal strength remain unchanged, and the communication signal strength continues to increase (the smaller the communication signal strength value, the greater the communication signal strength), the ETC device evaluation value also continues to increase.

[0050] Furthermore, the step of obtaining a flow abnormality evaluation value based on a comprehensive analysis of the ETC network evaluation value, the ETC equipment evaluation value and the vehicle abnormality data includes: the vehicle abnormality data includes the vehicle speed and the vehicle distance; obtaining the critical vehicle speed, the reference vehicle distance, the allowable deviation vehicle distance, the critical ETC network evaluation value and the critical ETC equipment evaluation value from the ETC flow database; and obtaining the flow abnormality evaluation value through comprehensive analysis.

[0051] In this embodiment, the vehicle speed can be directly measured by the speed sensor on the ETC gantry; the vehicle distance is the distance between the vehicle and the license plate recognition camera of the ETC exit gantry, which can be directly measured by a laser rangefinder or a radar rangefinder. Among them, the changes in vehicle speed and vehicle distance may affect the accuracy of ETC information recognition. Too fast vehicle speed and too far or too close vehicle distance may cause fuzzy license plate recognition, resulting in recognition errors and abnormal flow. The ETC network evaluation value and the ETC device evaluation value respectively reflect the impact of the external environment and the device itself on the communication quality. Comprehensive consideration of these parameters can more comprehensively evaluate the operating status of the ETC system and the accuracy of the flow data. The abnormal flow evaluation value reflects the abnormal degree of the flow data of the ETC system in the current operating state. By comparing the abnormal flow evaluation values ​​at different times and locations, the stability and reliability of the ETC system can be evaluated. By real-time monitoring and analysis of the changes in these parameters, potential fault risks can be discovered in a timely manner, which helps to take measures in advance to prevent the occurrence of faults and reduce maintenance costs and traffic delays.

[0052] Furthermore, the method for obtaining the abnormal flow evaluation value is as follows:

[0053]

[0054] In the formula, ξF represents the abnormal evaluation value of water flow, α 1Indicates the flow anomaly assessment impact factor corresponding to the ETC network assessment value, α 2 Indicates the flow anomaly assessment impact factor corresponding to the ETC equipment assessment value, α 3 represents the impact factor of water flow anomaly assessment corresponding to vehicle speed, α 4 represents the impact factor of water flow anomaly assessment corresponding to vehicle distance, ξE 1 represents the ETC network evaluation value, ξE 0 represents the critical ETC network evaluation value, ξD 1 represents the ETC equipment evaluation value, ξD 0 Represents the critical ETC equipment evaluation value, V 1 Represents the vehicle speed, V 0 represents the critical vehicle speed, D 1 Indicates the vehicle distance, D 0 Denotes the reference vehicle distance, D 2 It represents the allowable deviation vehicle distance, and e is a natural constant.

[0055] In this embodiment, α 1 , α 2 , α 3 and α 4 They are the flow anomaly assessment influencing factors corresponding to the ETC network assessment value, ETC equipment assessment value, vehicle speed and vehicle distance preset in the ETC flow database, and they respectively represent the numerical values ​​of the influence of the ETC network assessment value, ETC equipment assessment value, vehicle speed and vehicle distance on the flow anomaly assessment value, and can be directly obtained from the ETC flow database when used. For example, the ETC network evaluation value and the flow anomaly evaluation influencing factors corresponding to the ETC network evaluation values ​​preset in the ETC flow database form a mapping set, and the flow anomaly evaluation influencing factors corresponding to the ETC network evaluation values ​​are obtained by inputting the mapping set according to the ETC network evaluation values; the ETC equipment evaluation value and the flow anomaly evaluation influencing factors corresponding to the ETC equipment evaluation values ​​preset in the ETC flow database form a mapping set, and the flow anomaly evaluation influencing factors corresponding to the ETC equipment evaluation values ​​are obtained by inputting the mapping set according to the ETC equipment evaluation values; the vehicle speed and the flow anomaly evaluation influencing factors corresponding to the vehicle speed preset in the ETC flow database form a mapping set, and the flow anomaly evaluation influencing factors corresponding to the vehicle speed are obtained by inputting the mapping set according to the vehicle speed; the vehicle distance and the flow anomaly evaluation influencing factors corresponding to the vehicle distance preset in the ETC flow database form a mapping set, and the flow anomaly evaluation influencing factors corresponding to the vehicle distance are obtained by inputting the mapping set according to the vehicle distance, wherein the mapping relationship is a many-to-one or one-to-one relationship, and the value range of the influencing factor in this embodiment is between 0 and 1.

[0056] Furthermore, the step of screening according to the water flow abnormality evaluation value includes: comparing the water flow abnormality evaluation value with the water flow abnormality evaluation threshold; if the water flow abnormality evaluation value is less than the water flow abnormality evaluation threshold, marking the water flow as valid water flow, and performing secondary screening according to the vehicle medium information; if the water flow abnormality evaluation value is greater than or equal to the water flow abnormality evaluation threshold, marking the water flow as invalid water flow.

[0057] In this embodiment, the vehicle medium information includes the ETC card type and the number of media, wherein the ETC card type includes a contactless IC card (i.e., a contactless integrated circuit card), a CPC card (i.e., a highway composite pass card), and an ETC pass medium. When the flow anomaly assessment value is less than the flow anomaly assessment threshold, it indicates that the abnormality of the flow data is low and meets the normal operating standards of the ETC system; when the flow anomaly assessment value is greater than or equal to the flow anomaly assessment threshold, it indicates that the abnormality of the flow data is high, and there may be errors or problems, which require further verification and processing. Secondary screening based on vehicle medium information is a solution to the problem of traffic distortion and repeated deductions caused by multi-media passage. Secondary screening can ensure the accuracy and completeness of the flow data and avoid misjudgment caused by incorrect or missing vehicle medium information. By comparing the flow anomaly assessment value with the assessment threshold, valid and invalid flow can be accurately screened out to avoid interference from erroneous data, which helps to improve the accuracy and reliability of the flow data generated by the ETC system.

[0058] Furthermore, the step of calculating charges for invalid flow using vehicle driving data and ETC gantry layout includes: the vehicle driving data includes each ETC gantries passed by the vehicle, the time when the vehicle passes through each ETC gantries, and the vehicle import and export gantry records, wherein the vehicle import and export gantry records include the vehicle import and export gantries and the vehicle import and export gantry time; matching and verifying the vehicle import and export gantries and the vehicle import and export gantry time, if the vehicle import and export information is correct, charging according to the vehicle import and export fees, if the vehicle import and export information is missing or wrong, then according to the ETC gantry layout and the vehicle passing each ETC gantries according to the vehicle passing each ETC gantries time, the vehicle passing each ETC gantries are associated and matched, and the charges are calculated according to the vehicle passing each ETC gantries.

[0059] In this embodiment, vehicle travel data can be automatically collected through ETC equipment or acquired with the assistance of surveillance cameras and sensors. When matching and verifying the vehicle import and export gantry and the vehicle import and export gantry time, the system will first match and verify the vehicle import and export gantry and the vehicle import and export gantry time. If the vehicle import and export information is correct and complete (by using advanced technologies such as license plate recognition to automatically identify and compare the collected license plate numbers), the system will charge according to the preset vehicle import and export fees; if the vehicle import and export information is missing or wrong, the system will associate and match the vehicle's path according to the ETC gantry layout and the time when the vehicle passes each ETC gantry, and the system will take into account the vehicle's passage. The time, sequence (only the gantries with a time difference of less than 10 minutes between the vehicles passing through the associated gantries are marked as the same passage path) and distance of each ETC gantry, as well as the relative position relationship between the ETC gantries, determine the actual passage path of the vehicle according to the hex number of each gantry. After determining the actual passage path of the vehicle, the system will calculate the fees to be collected according to the fee standards and transaction type identification of each ETC gantry on the path (after adding up the fees of each ETC gantry, the total fee will be discounted and discounted according to relevant policies or preferential activities). By using vehicle driving data and ETC gantry layout for correlation matching and calculation of charges, the vehicle's passage path and fees can be determined more accurately, which helps reduce charging errors and disputes caused by missing or incorrect information.

[0060] Furthermore, the step of performing secondary screening based on the vehicle medium information includes: obtaining the medium information of each ETC gantry through which the vehicle passes; if the number of media through which the vehicle passes is 1, no subsequent operation is performed; if the number of media through which the vehicle passes is greater than 1, obtaining the exit gantry flow record of each medium of the vehicle, and matching it according to the vehicle exit gantry time; if the vehicle exit gantry time of each medium of the vehicle is less than 120 seconds, marking the flow as multi-media flow, and retaining one of the flows.

[0061] In this embodiment, when the number of media is 1, that is, the vehicle uses the same media information on all the gantries it passes through, it means that the vehicle has not changed the media or there are other abnormal situations, so no subsequent operations are required; for vehicles with a number of media greater than 1, the system will obtain the exit gantry flow records of each medium of the vehicle, which include the time, location, media information, etc. of the vehicle passing through the exit gantry, and determine the exit gantry information of the vehicle under different media for subsequent time matching and screening. First, the system will match according to the exit gantry time of each medium of the vehicle. If the time difference of different media of the same vehicle at the exit gantry is less than 120 seconds (preset time threshold), it is considered that these media information may belong to different states or configurations of the same vehicle in the same pass, and the system will mark the flow as multi-media flow, and retain one of the flow as a valid record. The retained flow can be the first recorded media information or the last recorded media information, or it can be selected according to other rules, such as selecting flow within a specific time range or the user customizing the retained flow according to their own needs.

[0062] like Figure 3 As shown, it is a structural schematic diagram of the multi-networked toll flow cross-validation management system provided in the embodiment of the present application. The multi-networked toll flow cross-validation management system provided in the embodiment of the present application includes: a data acquisition module, a flow analysis module, a charge calculation module and an ETC flow database; wherein the data acquisition module is used to obtain ETC flow information, ETC equipment data, special situation type data and vehicle medium information, and the ETC flow information includes vehicle driving data and vehicle abnormality data; the flow analysis module is used to obtain the ETC network evaluation value according to the special situation type data through comprehensive analysis, obtain the ETC equipment evaluation value according to the ETC equipment data through comprehensive analysis, and obtain the flow abnormality evaluation threshold according to the ETC equipment evaluation value, obtain the flow abnormality evaluation value according to the ETC network evaluation value, the ETC equipment evaluation value and the vehicle abnormality data through comprehensive analysis, and screen according to the flow abnormality evaluation value to obtain invalid flow; the charge calculation module is used to obtain the ETC gantry layout information, and calculate the charge for the invalid flow using the vehicle driving data and the ETC gantry layout.

[0063] Among them, the embodiment of the present application also provides a computer-readable storage medium for storing a program, which, when executed by a processor, implements a method for cross-validation management of multi-network charging flows.

[0064] In summary, the embodiments of the present application obtain an ETC network evaluation value by comprehensive analysis based on special situation type data, obtain an ETC equipment evaluation value by comprehensive analysis based on ETC equipment data, obtain a flow abnormality evaluation threshold based on the ETC equipment evaluation value, obtain a flow abnormality evaluation value based on a comprehensive analysis of the ETC network evaluation value, the ETC equipment evaluation value and vehicle abnormality data, and perform screening based on the flow abnormality evaluation value to obtain invalid flow; obtain ETC gantry layout information, calculate charges for invalid flow using vehicle driving data and ETC gantry layout, thereby improving the accuracy of data processing.

[0065] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0066] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0067] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0068] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1The steps for the functions specified in one or more boxes.

[0069] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0070] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A multi-network charging flow cross-validation management method, characterized in that: The following steps are involved: Obtaining ETC flow information, ETC equipment data, special situation type data and vehicle medium information, wherein the ETC flow information includes vehicle driving data and vehicle abnormality data; The ETC network evaluation value is obtained by comprehensive analysis of the special situation type data, the ETC equipment evaluation value is obtained by comprehensive analysis of the ETC equipment data, and the abnormal flow evaluation threshold is obtained according to the ETC equipment evaluation value. The abnormal flow evaluation value is obtained according to the comprehensive analysis of the ETC network evaluation value, the ETC equipment evaluation value and the abnormal vehicle data, and the abnormal flow evaluation value is screened to obtain invalid flow; Obtain ETC gantry layout information and calculate charges for invalid transactions using vehicle driving data and ETC gantry layout.

2. The multi-network charging flow cross-validation management method as claimed in claim 1, characterized in that: The step of obtaining the ETC network evaluation value based on comprehensive analysis of the special situation type data includes: The special situation type data includes network signal strength, network delay and data transmission rate; Obtain critical network signal strength, critical network delay and critical data transmission rate from the ETC flow database; Comprehensive analysis yields the ETC network evaluation value.

3. The multi-network charging flow cross-validation management method as claimed in claim 1, characterized in that: The step of obtaining the ETC equipment evaluation value based on comprehensive analysis of the ETC equipment data includes: The ETC equipment data includes ETC battery power, antenna transmission power and communication signal strength; Obtain critical ETC battery power, critical antenna transmission power, reference communication signal strength and allowable deviation communication signal strength from the ETC flow database; Comprehensive analysis is performed to obtain the ETC equipment evaluation value.

4. The multi-network charging flow cross-validation management method as claimed in claim 1, characterized in that: The step of obtaining the water flow abnormality evaluation value by comprehensive analysis of the ETC network evaluation value, the ETC equipment evaluation value and the vehicle abnormality data comprises: The vehicle abnormal data includes vehicle speed and vehicle distance; Obtain critical vehicle speed, reference vehicle distance, allowable deviation vehicle distance, critical ETC network evaluation value and critical ETC equipment evaluation value from the ETC flow database; Comprehensive analysis is performed to obtain the water flow anomaly assessment value.

5. The multi-network charging flow cross-validation management method as claimed in claim 4, characterized in that: The method for obtaining the abnormal flow evaluation value is as follows: In the formula, ξF represents the water flow anomaly evaluation value, α1 represents the water flow anomaly evaluation influencing factor corresponding to the ETC network evaluation value, α2 represents the water flow anomaly evaluation influencing factor corresponding to the ETC equipment evaluation value, α3 represents the water flow anomaly evaluation influencing factor corresponding to the vehicle speed, α4 represents the water flow anomaly evaluation influencing factor corresponding to the vehicle distance, ξE1 represents the ETC network evaluation value, ξE0 represents the critical ETC network evaluation value, ξD1 represents the ETC equipment evaluation value, ξD0 represents the critical ETC equipment evaluation value, V1 represents the vehicle speed, V0 represents the critical vehicle speed, D1 represents the vehicle distance, D0 represents the reference vehicle distance, D2 represents the allowable deviation vehicle distance, and e is a natural constant.

6. The multi-network charging flow cross-validation management method as claimed in claim 1, characterized in that: The step of screening according to the abnormal flow evaluation value comprises: The water flow anomaly assessment value is compared with the water flow anomaly assessment threshold. If the water flow anomaly assessment value is less than the water flow anomaly assessment threshold, the water flow is marked as valid water flow and secondary screening is performed based on the vehicle medium information. If the water flow anomaly assessment value is greater than or equal to the water flow anomaly assessment threshold, the water flow is marked as invalid water flow.

7. The multi-network charging flow cross-validation management method as claimed in claim 1, characterized in that: The step of calculating the fee for invalid flow by using vehicle driving data and ETC gantry layout includes: The vehicle driving data includes each ETC gantries that the vehicle passes, the time when the vehicle passes each ETC gantries, and the vehicle import and export gantry records, wherein the vehicle import and export gantry records include the vehicle import and export gantries and the vehicle import and export gantry time; The vehicle import and export gantries and the vehicle import and export gantry times are matched and verified. If the vehicle import and export information is correct, the vehicle import and export fees are charged. If the vehicle import and export information is missing or wrong, the ETC gantry layout and the time the vehicle passes through each ETC gantries are correlated and matched according to the vehicle's passage through each ETC gantry, and the charges are calculated according to the vehicle's passage through each ETC gantry.

8. The multi-network charging flow cross-validation management method as claimed in claim 6, characterized in that: The step of performing secondary screening according to vehicle medium information includes: Get the media information of each ETC gantry through which the vehicle passes. If the number of media through which the vehicle passes is 1, no subsequent operation is performed. If the number of media through which the vehicle passes is greater than 1, get the exit gantry flow records of each medium of the vehicle and match them according to the vehicle exit gantry time. If the vehicle exit gantry time of each medium of the vehicle is less than 120 seconds, mark the flow as multi-media flow and retain one of the flows.

9. A multi-network charging flow cross-validation management system, using a multi-network charging flow cross-validation management method as claimed in any one of claims 1 to 8, characterized in that: It includes data acquisition module, flow analysis module, charge calculation module and ETC flow database; The data acquisition module is used to acquire ETC flow information, ETC equipment data, special situation type data and vehicle medium information, and the ETC flow information includes vehicle driving data and vehicle abnormality data; The flow analysis module is used to obtain an ETC network evaluation value based on a comprehensive analysis of the special situation type data, obtain an ETC device evaluation value based on a comprehensive analysis of the ETC device data, obtain a flow anomaly evaluation threshold based on the ETC device evaluation value, obtain a flow anomaly evaluation value based on a comprehensive analysis of the ETC network evaluation value, the ETC device evaluation value and the vehicle abnormal data, and perform screening based on the flow anomaly evaluation value to obtain invalid flow; The charging calculation module is used to obtain ETC gantry layout information and calculate the charges for invalid flows using vehicle driving data and ETC gantry layout.

10. A computer-readable storage medium for storing a program, characterized in that: When the program is executed by the processor, it implements the multi-network charging flow cross-validation management method as described in any one of claims 1 to 8.

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