ETC consumption abnormity processing system

Abstract

The invention relates to the technical field of ETC abnormal consumption processing, and discloses an ETC abnormal consumption processing system. According to the ETC consumption abnormity processing system, vehicle passing fee data, fee deduction data in an ETC system, vehicle type data, vehicle type data pre-registered in the ETC system, vehicle entering time data and vehicle leaving time data are respectively collected, and the data are analyzed and processed; after a system misjudgment signal or an abnormal passing signal or an abnormal passing cost signal is generated, the signal is fed back to a worker in time, and the worker processes an abnormal user in time, so that the situation that extra time and energy need to be spent on checking and solving the abnormal problem is avoided, the user experience is improved, the abnormal problem is processed in time, and the user experience is improved. The system can reduce the scale of a customer service team, reduces the operation cost, improves the satisfaction degree of a user in ETC, and improves the popularization and utilization rate of the whole system.

Description

Technical Field

[0001] The present invention relates to the technical field of ETC abnormal consumption processing, and in particular to an ETC consumption abnormality processing system. Background Art

[0002] Abnormal ETC (Electronic Toll Collection) consumption may cause a series of problems and inconveniences. First, users may face financial losses if abnormal deductions occur in the ETC system. For example, the system may mistakenly deduct money multiple times, and the user's account balance may be reduced without the user's knowledge, or even lead to insufficient funds to pay other fees or be blocked when entering the ETC channel. These abnormal deductions not only affect the user experience, but may also cause users to lose trust in the ETC system. Second, abnormal ETC consumption may prevent users from passing through toll booths smoothly. In the case of untimely or inaccurate handling of abnormalities, users may be stopped at toll booths due to unsuccessful deductions and need to make manual deductions, which undoubtedly increases the travel time and the risk of traffic jams. For users who rely on ETC for fast passage, such delays may be extremely inconvenient, especially in peak traffic jams. In addition, abnormal ETC consumption may also have a negative impact on users' psychology. Frequent abnormal alerts and the appeal process that has to be carried out may cause users to feel anxious and irritable. They need to spend extra time and energy to check and solve abnormal problems, which may interfere with their daily arrangements. If these abnormal transactions are not handled in a timely and effective manner, they may lead to increased operating costs. Operators need to establish a strong customer service team and technical support to deal with user inquiries and complaints, and each abnormality handling may require the allocation of additional resources. In addition, ETC consumption anomalies may also cause dissatisfaction and reputation problems among user groups, affecting the popularity and usage rate of the entire system. Summary of the invention

[0003] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides an ETC consumption exception processing system, which has the function of respectively collecting vehicle toll data, deduction data in the ETC system, vehicle type data, pre-registered vehicle type data in the ETC system, vehicle entry time data and vehicle exit time data, and analyzing and processing these data, and generating a system misjudgment signal or an abnormal passage signal or an abnormal toll signal, and then promptly feeding back to the staff, who promptly handle the users with abnormalities, thereby avoiding the need to spend extra time and energy to check and solve the abnormal problems, and improving the user experience. At the same time, timely handling of abnormal problems can reduce the size of the customer service team, reduce operating costs, thereby improving user satisfaction with the use of ETC, and improving the popularity and usage rate of the entire system, etc., thereby solving the above-mentioned problems.

[0004] (II) Technical solution To achieve the above object, the present invention provides the following technical solutions: an ETC consumption anomaly processing system, comprising an ETC consumption data collection unit, a vehicle travel data collection unit, a travel time collection unit, a data anomaly monitoring unit and a monitoring result exporting unit; The ETC consumption data collection unit is used to collect vehicle toll data and deduction data in the ETC system, the vehicle traffic data collection unit is used to collect vehicle type data and vehicle type data pre-registered in the ETC system, and the travel time collection unit is used to collect vehicle entry time data and vehicle exit time data. The ETC consumption data collection unit, the vehicle traffic data collection unit and the travel time collection unit send the collected data to the data anomaly monitoring unit; The data anomaly monitoring unit determines whether the current vehicle ETC toll is abnormal based on the vehicle toll, and generates an abnormal fee signal when the current vehicle ETC toll is abnormal. The data anomaly monitoring unit determines whether the current vehicle ETC toll deduction is abnormal based on the deduction data in the ETC system, and generates an abnormal deduction signal when the current vehicle ETC toll deduction is abnormal. The data anomaly monitoring unit determines whether the vehicle type is consistent based on the comparison of the collected vehicle type data and the pre-registered vehicle type data in the ETC system, and generates a vehicle type misjudgment signal when the vehicle type is inconsistent. The data anomaly monitoring unit determines whether the vehicle has unrecorded passing behavior based on the vehicle entry time data and the vehicle exit time data, and generates an abnormal passing signal when unrecorded passing behavior occurs; The data anomaly monitoring unit generates an abnormal toll fee signal, an abnormal passage signal, or a system misjudgment signal according to the combined judgment of the generated multiple signals, and the data anomaly signal monitoring unit sends the generated abnormal toll fee signal, abnormal passage signal, and system misjudgment signal to the monitoring result exporting unit; The monitoring result exporting unit feeds back the received abnormal toll fee signal, abnormal passage signal or system misjudgment signal to the ETC operator.

[0005] Preferably, the vehicle toll fee data is expressed as: , The superscript indicates the current vehicle transaction number, and the subscript indicates the vehicle information of the current vehicle; According to the vehicle toll, it is judged whether the current vehicle ETC toll is abnormal. The judgment formula is as follows: 1, indicating that the vehicle toll is deducted repeatedly, and the current vehicle ETC toll is judged to be abnormal.

[0006] Preferably, the deduction data in the ETC system is represented as: , The superscript indicates the current vehicle transaction number, and the subscript indicates the vehicle information of the current vehicle; According to the deduction data in the ETC system, it is judged whether there is any abnormality in the current vehicle ETC toll deduction. The judgment formula is as follows: Normal toll means excess deduction, which means the current vehicle ETC toll deduction is abnormal.

[0007] Preferably, the vehicle type data is expressed as: , subscript Indicates the current vehicle. Indicates the vehicle type, the vehicle type data pre-registered in the ETC system is represented as ; Based on the comparison between the collected vehicle type data and the pre-registered vehicle type data in the ETC system, the formula for determining whether the vehicle type is consistent is as follows: , indicating that the vehicle type data currently passing does not match the vehicle type data pre-registered in the ETC system, and is judged to be a misjudgment of the vehicle type.

[0008] Preferably, the vehicle entry time data is expressed as: , the vehicle departure time data is expressed as: ; The judgment expression for judging whether a vehicle has unrecorded passing behavior based on the vehicle entry time data and vehicle exit time data is as follows: when =NULL or =NULL, it is determined that the current passing vehicle has no entry record or exit record, that is, the passing behavior is not recorded.

[0009] Preferably, the abnormal toll signal determination conditions are as follows: When the data anomaly monitoring unit generates an abnormal fee signal or an abnormal deduction signal, and there is no vehicle type misjudgment signal and abnormal communication signal, an abnormal toll signal is generated.

[0010] Preferably, the abnormal traffic signal determination condition is as follows: When the data anomaly monitoring unit generates an abnormal fee signal or an abnormal deduction signal and generates an abnormal passage signal at the same time, an abnormal passage signal is generated.

[0011] Preferably, the system misjudgment signal determination conditions are as follows: When the data anomaly monitoring unit generates an abnormal traffic signal and simultaneously generates a vehicle type misjudgment signal, a system misjudgment signal is generated.

[0012] A device for processing ETC consumption exceptions comprises a memory and a processor, wherein the memory stores an ETC consumption exception processing program that can be run on the processor, and when the ETC consumption exception processing program is executed by the processor, any step in any of the ETC consumption exception processing systems is implemented.

[0013] A storage medium for ETC consumption exception processing, wherein an ETC consumption exception processing program is stored on the storage medium, and when the ETC consumption exception processing program is executed, any step in any of the ETC consumption exception processing systems is implemented.

[0014] Compared with the prior art, the present invention provides an ETC consumption exception processing system, which has the following beneficial effects: The present invention respectively collects vehicle toll data, fee deduction data in the ETC system, vehicle type data, vehicle type data pre-registered in the ETC system, vehicle entry time data and vehicle exit time data, and analyzes and processes these data, and promptly feeds back to staff after a system misjudgment signal, an abnormal passage signal or an abnormal toll signal is generated. The staff promptly handles the abnormal users in a timely manner, avoiding the need to spend extra time and energy to check and solve the abnormal problems, thereby improving the user experience. At the same time, timely handling of abnormal problems can reduce the size of the customer service team, reduce operating costs, thereby improving user satisfaction with the use of ETC and improving the popularity and usage rate of the entire system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

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

[0017] See also Figure 1 , an ETC consumption anomaly processing system, including an ETC consumption data collection unit, a vehicle travel data collection unit, a travel time collection unit, a data anomaly monitoring unit and a monitoring result exporting unit.

[0018] The ETC consumption data collection unit is used to collect vehicle toll data and deduction data in the ETC system. The vehicle toll data is expressed as: , The superscript indicates the current vehicle transaction number, and the subscript indicates the vehicle information of the current vehicle. The deduction data in the ETC system is expressed as: , The superscript indicates the current vehicle transaction number, and the subscript indicates the vehicle information of the current vehicle.

[0019] The vehicle traffic data collection unit is used to collect vehicle type data and pre-registered vehicle type data in the ETC system. The vehicle type data is expressed as: , subscript Indicates the current vehicle. Indicates the vehicle type. The pre-registered vehicle type data in the ETC system is represented as .

[0020] The travel time collection unit is used to collect vehicle entry time data and vehicle exit time data. The vehicle entry time data is expressed as: , the vehicle departure time data is expressed as: .

[0021] The ETC consumption data collection unit, the vehicle travel data collection unit and the travel time collection unit send the collected data to the data anomaly monitoring unit.

[0022] The data anomaly monitoring unit determines whether the current vehicle ETC toll is abnormal based on the vehicle toll. When the current vehicle ETC toll is abnormal, a toll abnormality signal is generated. The judgment formula is as follows: 1, indicating that the vehicle toll is deducted repeatedly, and the current vehicle ETC toll is considered abnormal. 1:00, which means that the vehicle currently passing through has been charged multiple times, that is, repeated deductions and abnormal ETC tolls.

[0023] The data anomaly monitoring unit determines whether the current vehicle ETC toll deduction is abnormal based on the deduction data in the ETC system. When the current vehicle ETC toll deduction is abnormal, a deduction abnormality signal is generated. The judgment formula is as follows: Normal toll means overcharge, then the current vehicle ETC toll deduction is considered abnormal. If the toll is greater than the normal ETC toll for passing the route, it means that the ETC system has overdeducted the fee.

[0024] The data anomaly monitoring unit compares the collected vehicle type data with the pre-registered vehicle type data in the ETC system to determine whether the vehicle type is consistent. When the vehicle type is inconsistent, a vehicle type misjudgment signal is generated. The judgment formula is as follows: , indicating that the vehicle type data currently passing does not match the vehicle type data pre-registered in the ETC system, and is judged to be a misjudgment of the vehicle type.

[0025] The data anomaly monitoring unit determines whether the vehicle has unrecorded passing behavior based on the vehicle entry time data and vehicle exit time data. When unrecorded passing behavior occurs, an abnormal passing signal is generated. The judgment formula is as follows: when =NULL or =NULL, it is determined that the current passing vehicle has no entry record or exit record, that is, the passing behavior is not recorded, indicating that the entry time is blank or the exit time is blank. The current vehicle may be "using ETC", which is abnormal passage.

[0026] The data anomaly monitoring unit determines whether the vehicle has unrecorded passing behavior based on the vehicle entry time data and vehicle exit time data. When unrecorded passing behavior occurs, an abnormal passing signal is generated. The judgment conditions of the two signals are as follows: When the data abnormality monitoring unit generates an abnormal fee signal or an abnormal deduction signal, and there is no vehicle type misjudgment signal and abnormal communication signal, an abnormal toll signal is generated. When the data abnormality monitoring unit generates an abnormal fee signal or an abnormal deduction signal and generates an abnormal passage signal at the same time, an abnormal passage signal is generated. When the data abnormality monitoring unit generates an abnormal passage signal and generates a vehicle type misjudgment signal at the same time, a system misjudgment signal is generated.

[0027] The monitoring result export unit will feedback the received abnormal toll signal, abnormal traffic signal or system misjudgment signal to the ETC operator. When a system misjudgment signal, abnormal traffic signal or abnormal toll signal appears, the ETC consumption abnormality processing system will feedback any one or more of the three signals generated to the staff, and the staff will promptly handle the abnormal passing vehicles with ETC abnormalities according to the feedback signals, avoiding the need for vehicle users to spend extra time and energy to solve the abnormal conditions, which will reduce the user experience.

[0028] By respectively collecting vehicle toll data, toll deduction data in the ETC system, vehicle type data, pre-registered vehicle type data in the ETC system, vehicle entry time data and vehicle exit time data, and analyzing and processing these data, when a system misjudgment signal or an abnormal traffic signal or an abnormal toll signal is generated, timely feedback is given to the staff, and the staff promptly handles the abnormal users in a timely manner to avoid spending extra time and energy to check and solve abnormal problems, thereby improving the user experience. At the same time, timely handling of abnormal problems can reduce the size of the customer service team, reduce operating costs, thereby increasing user satisfaction with the use of ETC and increasing the popularity and usage of the entire system.

[0029] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An ETC consumption exception processing system, characterized by: It includes an ETC consumption data collection unit, a vehicle travel data collection unit, a travel time collection unit, a data anomaly monitoring unit, and a monitoring result export unit; The ETC consumption data collection unit is used to collect vehicle toll data and deduction data in the ETC system, the vehicle traffic data collection unit is used to collect vehicle type data and vehicle type data pre-registered in the ETC system, and the travel time collection unit is used to collect vehicle entry time data and vehicle exit time data. The ETC consumption data collection unit, the vehicle traffic data collection unit and the travel time collection unit send the collected data to the data anomaly monitoring unit; The data anomaly monitoring unit determines whether the current vehicle ETC toll is abnormal based on the vehicle toll, and generates an abnormal fee signal when the current vehicle ETC toll is abnormal. The data anomaly monitoring unit determines whether the current vehicle ETC toll deduction is abnormal based on the deduction data in the ETC system, and generates an abnormal deduction signal when the current vehicle ETC toll deduction is abnormal. The data anomaly monitoring unit determines whether the vehicle type is consistent based on the comparison of the collected vehicle type data and the pre-registered vehicle type data in the ETC system, and generates a vehicle type misjudgment signal when the vehicle type is inconsistent. The data anomaly monitoring unit determines whether the vehicle has unrecorded passing behavior based on the vehicle entry time data and the vehicle exit time data, and generates an abnormal passing signal when unrecorded passing behavior occurs; The data anomaly monitoring unit generates an abnormal toll fee signal, an abnormal passage signal, or a system misjudgment signal according to the combined judgment of the generated multiple signals, and the data anomaly signal monitoring unit sends the generated abnormal toll fee signal, abnormal passage signal, and system misjudgment signal to the monitoring result exporting unit; The monitoring result exporting unit feeds back the received abnormal toll fee signal, abnormal passage signal or system misjudgment signal to the ETC operator.

2. The ETC consumption exception processing system according to claim 1, characterized in that: The vehicle toll fee data is expressed as: , The superscript indicates the current vehicle transaction number, and the subscript indicates the vehicle information of the current vehicle; According to the vehicle toll, it is judged whether the current vehicle ETC toll is abnormal. The judgment formula is as follows: 1, indicating that the vehicle toll is deducted repeatedly, and the current vehicle ETC toll is considered abnormal.

3. The ETC consumption exception processing system according to claim 2 is characterized in that: The deduction data in the ETC system is represented as follows: , The superscript indicates the current vehicle transaction number, and the subscript indicates the vehicle information of the current vehicle; According to the deduction data in the ETC system, it is judged whether there is any abnormality in the current vehicle ETC toll deduction. The judgment formula is as follows: Normal toll means excess deduction, which means the current vehicle ETC toll deduction is abnormal.

4. The ETC consumption exception processing system according to claim 3 is characterized by: The vehicle type data is represented as: , subscript Indicates the current vehicle. Indicates the vehicle type, the vehicle type data pre-registered in the ETC system is represented as ; Based on the comparison between the collected vehicle type data and the pre-registered vehicle type data in the ETC system, the formula for determining whether the vehicle type is consistent is as follows: , indicating that the vehicle type data currently passing does not match the vehicle type data pre-registered in the ETC system, and is judged to be a misjudgment of the vehicle type.

5. The ETC consumption exception processing system according to claim 4 is characterized in that: The vehicle entry time data is expressed as: , the vehicle departure time data is expressed as: ; The judgment expression for judging whether a vehicle has unrecorded passing behavior based on the vehicle entry time data and vehicle exit time data is as follows: when =NULL or =NULL, it is determined that the current passing vehicle has no entry record or exit record, that is, the passing behavior is not recorded.

6. The ETC consumption exception processing system according to claim 5, characterized in that: The abnormal toll signal determination conditions are as follows: When the data anomaly monitoring unit generates an abnormal fee signal or an abnormal deduction signal, and there is no vehicle type misjudgment signal and abnormal communication signal, an abnormal toll signal is generated.

7. The ETC consumption exception processing system according to claim 6 is characterized by: The abnormal traffic signal determination conditions are as follows: When the data anomaly monitoring unit generates an abnormal fee signal or an abnormal deduction signal and generates an abnormal passage signal at the same time, an abnormal passage signal is generated.

8. The ETC consumption exception processing system according to claim 7 is characterized by: The system misjudgment signal determination conditions are as follows: When the data anomaly monitoring unit generates an abnormal traffic signal and simultaneously generates a vehicle type misjudgment signal, a system misjudgment signal is generated.

9. A device for handling ETC consumption exceptions, characterized in that: It includes a memory and a processor, wherein the memory stores an ETC consumption exception handling program that can be executed on the processor, and when the ETC consumption exception handling program is executed by the processor, any step in the ETC consumption exception handling system described in any one of claims 1-8 is implemented.

10. A storage medium for ETC consumption exception processing, characterized in that: The storage medium stores an ETC consumption exception handling program, and when the ETC consumption exception handling program is executed, any step in the ETC consumption exception handling system described in any one of claims 1-8 is implemented.

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