CN116168460A - Novel online self-service/ETC charging system for expressway - Google Patents

Novel online self-service/ETC charging system for expressway Download PDF

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CN116168460A
CN116168460A CN202310453337.7A CN202310453337A CN116168460A CN 116168460 A CN116168460 A CN 116168460A CN 202310453337 A CN202310453337 A CN 202310453337A CN 116168460 A CN116168460 A CN 116168460A
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analysis
interference
signal
license plate
server
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CN116168460B (en
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陈里得
高朝晖
梁玢
周国骥
朱琳
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Jiangsu Southeast Intelligent Technology Group Co ltd
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Jiangsu Southeast Intelligent Technology Group Co ltd
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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07BTICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
    • G07B15/00Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
    • G07B15/06Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
    • G07B15/063Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems using wireless information transmission between the vehicle and a fixed station
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/62Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/625License plates

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  • Devices For Checking Fares Or Tickets At Control Points (AREA)

Abstract

The invention belongs to the field of high-speed charging, relates to a data analysis technology, and is used for solving the problem that an ETC charging system in the prior art cannot analyze and count abnormal reasons, so that targeted abnormal treatment cannot be carried out when the system is optimized, and particularly relates to a novel online self-service/ETC charging system for a highway, which comprises a server, wherein the server is in communication connection with an ETC management module, an interference analysis module, an abnormal analysis module and a storage module, the ETC management module is used for carrying out ETC identification and management analysis on vehicles at a charging port, the vehicles drive into coils in front of a payment machine, license plate identification is captured, and license plate information is acquired; according to the invention, ETC recognition and management analysis are carried out on vehicles at a toll gate, the phenomenon that an antenna senses an OBU card and license plate information is not matched is monitored, and the information and data are sent to an interference analysis module for interference analysis, so that data support is provided for system optimization.

Description

Novel online self-service/ETC charging system for expressway
Technical Field
The invention belongs to the field of high-speed charging, relates to a data analysis technology, and particularly relates to a novel online self-service/ETC charging system for a highway.
Background
ETC is automatic toll collection of expressways or bridges, and is communicated with microwave antennas on ETC lanes of toll stations in a special short-range manner through vehicle-mounted electronic tags arranged on vehicle windshields, and background settlement processing is carried out with banks by utilizing a computer networking technology, so that the purpose that the toll of the expressways or bridges can be paid without stopping vehicles passing through the expressways or bridges tolls is achieved;
however, in the ETC charging system in the prior art, recognition abnormal phenomena such as bypass interference, car following interference and the like can occur when automatic deduction is performed, so that the ETC charging system is easy to cause that automatic deduction cannot be performed normally, and meanwhile, when the ETC recognition is abnormal, analysis and statistics on abnormal reasons cannot be performed, and the situation that targeted abnormal processing cannot be performed when the system is optimized is caused;
aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide a novel online self-service/ETC charging system for a highway, which is used for solving the problem that the ETC charging system in the prior art cannot analyze and count abnormal reasons, so that targeted abnormal treatment cannot be carried out when the system is optimized.
The technical problems to be solved by the invention are as follows: how to provide a novel on-line self-service/ETC charging system for expressways, which can analyze and count abnormal reasons.
The aim of the invention can be achieved by the following technical scheme:
the novel online self-service/ETC charging system for the expressway comprises a server, wherein the server is in communication connection with an ETC management module, an interference analysis module, an anomaly analysis module and a storage module;
the ETC management module is used for carrying out ETC identification and management analysis on vehicles at the toll gate: when the automobile enters an ETC portal frame transaction area, if the vehicle is provided with an OBU, transaction is carried out, and transaction information is displayed in an information display screen; the car drives into the coil in front of the payment machine, license plate recognition is performed and license plate information is acquired, and at the moment, charging software performs comparison: if the RSU antenna does not sense the OBU and ETC cards, the charging software prompts the vehicle owner to take the cards or swipe the ETC cards or sweep codes for payment on the self-service machine through voice and screen display; if the RSU antenna senses that the OBU or the ETC card is not matched with the license plate information in the ETC card or the OBU card, simultaneously the ETC management module sends an interference analysis signal to the server, and the server sends the interference analysis signal to the interference analysis module after receiving the interference analysis signal; if the RSU antenna senses the OBU or the ETC card and license plate information in the ETC card or the OBU card is matched with the snapped license plate information, sending a successful charging signal to a server after self-service card issuing/payment is carried out on the vehicle, and controlling a railing lifting rod of the railing machine to pass after the server receives the successful charging signal;
the interference analysis module is used for carrying out interference analysis on the ETC portal frame transaction area;
the anomaly analysis module is used for monitoring and analyzing the anomaly state of the ETC charging system.
As a preferred implementation mode of the invention, the specific process of the interference analysis module for carrying out interference analysis on the ETC portal frame transaction area is as follows: marking all ETC antennae of an ETC portal frame transaction area as analysis objects, acquiring all ETC card information received by the analysis objects, and judging whether repeated information exists in the ETC card information: if yes, judging that the recognition failure reason is bypass interference, sending a bypass interference signal to a server by an interference analysis module, and sending the bypass interference signal to an abnormality analysis module after the server receives the bypass interference signal; if not, comparing the number of ETC card information with the number of analysis objects.
As a preferred embodiment of the present invention, the specific process of comparing the number of ETC card information with the number of analysis objects is: if the recognition failure is inconsistent, judging that the recognition failure is the car following interference, sending a car following interference signal to a server by an interference analysis module, and sending the car following interference signal to an abnormality analysis module after the server receives the car following interference signal; and if the license plate information is consistent, carrying out deep analysis on the license plate information.
As a preferred implementation mode of the invention, the specific process of carrying out the depth analysis on the license plate information is as follows: marking an image subjected to snapshot of license plate recognition as an analysis image, acquiring the contrast of the analysis image through an image processing technology, acquiring a contrast threshold through a storage module, and comparing the contrast of the analysis image with the contrast threshold: if the contrast is smaller than the contrast threshold, judging that the recognition failure cause is the environment light abnormality, sending a light abnormality signal to a server by the interference analysis module, and sending the light abnormality signal to the abnormality analysis module by the server after receiving the light abnormality signal; if the contrast is greater than or equal to the contrast threshold, the recognition cause is judged to be that ETC is not installed, the interference analysis module sends an owner reminding signal to the server, and the server sends the owner reminding signal to the mobile phone terminal of the owner after receiving the ETC fault signal.
As a preferred implementation mode of the invention, the specific process of monitoring and analyzing the abnormal state of the ETC charging system by the abnormality analysis module is as follows: generating an analysis period, and respectively marking the quantity of the light abnormal signal, the following interference signal and the bypass interference signal received by the abnormal analysis module in the analysis period as a light value GX, a following value GC and a bypass value PD; obtaining an anomaly coefficient YC of an analysis period by carrying out numerical calculation on a light ray value GX, a following value GC and a bypass value PD; the method comprises the steps of obtaining an abnormal threshold YCmax through a storage module, comparing an abnormal coefficient YC of an analysis period with the abnormal threshold YCmax, and judging whether the ETC identification state of the analysis period meets the requirement or not through a comparison result.
As a preferred embodiment of the present invention, the specific procedure of comparing the anomaly coefficient YC of the analysis period with the anomaly threshold YCmax is: if the anomaly coefficient YC is smaller than the anomaly threshold YCmax, judging that the ETC identification state in the analysis period meets the requirement, and sending an identification normal signal to a server by the anomaly analysis module; if the anomaly coefficient YC is greater than or equal to the anomaly threshold YCmax, the ETC identification state in the analysis period is judged to be not satisfied, the anomaly analysis module sends an identification anomaly signal to the server, and the server sends the identification anomaly signal to the mobile phone terminal of the manager after receiving the identification anomaly signal.
The working method of the novel on-line self-service/ETC charging system for the expressway comprises the following steps:
step one: ETC recognition and management analysis are carried out on vehicles at the toll gate: the vehicle enters a coil in front of the payment machine, license plate recognition is used for capturing photos and acquiring license plate information, and charging software is used for comparing and judging whether the captured license plate information is matched with license plate information in the ETC card or not;
step two: interference analysis is carried out on the ETC portal frame transaction area: marking all ETC antennae of an ETC portal frame transaction area as analysis objects, acquiring all ETC card information received by the analysis objects, and judging whether repeated information exists in the ETC card information;
step three: and carrying out deep analysis on license plate information: marking an image subjected to snapshot of license plate recognition as an analysis image, acquiring the contrast of the analysis image through an image processing technology, acquiring a contrast threshold through a storage module, comparing the contrast of the analysis image with the contrast threshold, and judging whether the ambient light has an abnormality or not through a comparison result;
step four: monitoring and analyzing the abnormal state of the ETC charging system: generating an analysis period, acquiring a light ray value GX, a following value GC and a bypass value PD in the analysis period, performing numerical calculation to obtain an anomaly coefficient YC, and judging whether the ETC identification state in the analysis period meets the requirement or not through the numerical value of the anomaly coefficient YC.
The invention has the following beneficial effects:
the ETC management module can be used for carrying out ETC recognition and management analysis on vehicles at the toll gate, different operations are carried out according to the OBU recognition condition, the vehicle passing efficiency is improved, meanwhile, the phenomenon that an OBU card is sensed by an antenna and license plate information is not matched is monitored, and the information and the data are sent to the interference analysis module for interference analysis, so that data support is provided for system optimization, and the subsequent ETC recognition success rate is reduced;
the interference analysis module can be used for carrying out interference analysis on the ETC portal frame transaction area, and monitoring repeated information and ETC information quantity in license plate information set to feed back bypass interference phenomenon and vehicle following interference phenomenon existing in the ETC identification process, so that identification abnormal phenomenon caused by ETC self factors is counted, meanwhile, contrast analysis is carried out on the snapshot image, and feedback is carried out on an external snapshot environment;
the abnormal state of the ETC charging system can be monitored and analyzed through the abnormal analysis module, and the abnormal coefficient is obtained through comprehensive analysis and numerical calculation of the received quantity of the light abnormal signal, the vehicle following interference signal and the side channel interference signal, so that the ETC identification state in the analysis period is fed back according to the abnormal coefficient, and early warning is timely carried out when the ETC identification state is abnormal.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in FIG. 1, the novel on-line self-help/ETC charging system for the expressway comprises a server, wherein the server is in communication connection with an ETC management module, an interference analysis module, an abnormality analysis module and a storage module.
The ETC management module is used for carrying out ETC identification and management analysis on vehicles at the toll gate: when the automobile enters an ETC portal frame transaction area, if the vehicle is provided with an OBU, transaction is carried out, and transaction information is displayed in an information display screen; the car drives into the coil in front of the payment machine, license plate recognition is performed and license plate information is acquired, and at the moment, charging software performs comparison: if the RSU antenna does not sense the OBU and ETC cards, the charging software prompts the vehicle owner to take the cards or swipe the ETC cards or sweep codes for payment on the self-service machine through voice and screen display; if the RSU antenna senses that the OBU or the ETC card is not matched with the license plate information in the ETC card or the OBU card, simultaneously the ETC management module sends an interference analysis signal to the server, and the server sends the interference analysis signal to the interference analysis module after receiving the interference analysis signal; if the RSU antenna senses the OBU or the ETC card and license plate information in the ETC card or the OBU card is matched with the snapped license plate information, sending a successful charging signal to a server after self-service card issuing/payment is carried out on the vehicle, and controlling a railing lifting rod of the railing machine to pass after the server receives the successful charging signal; ETC recognition and management analysis are carried out on vehicles at the toll gate, different operations are carried out through the OBU recognition condition, the vehicle passing efficiency is improved, meanwhile, phenomena that an OBU card is sensed by an antenna and license plate information is not matched are monitored, the information and the data are sent to an interference analysis module for interference analysis, data support is provided for system optimization, and the subsequent ETC recognition success rate is reduced.
The interference analysis module is used for carrying out interference analysis on the ETC portal frame transaction area: marking all ETC antennae of an ETC portal frame transaction area as analysis objects, acquiring all ETC card information received by the analysis objects, and judging whether repeated information exists in the ETC card information: if yes, judging that the recognition failure reason is bypass interference, sending a bypass interference signal to a server by an interference analysis module, and sending the bypass interference signal to an abnormality analysis module after the server receives the bypass interference signal; if not, comparing the number of ETC card information with the number of analysis objects: if the recognition failure is inconsistent, judging that the recognition failure is the car following interference, sending a car following interference signal to a server by an interference analysis module, and sending the car following interference signal to an abnormality analysis module after the server receives the car following interference signal; if the license plate information is consistent, carrying out deep analysis on the license plate information: marking an image subjected to snapshot of license plate recognition as an analysis image, acquiring the contrast of the analysis image through an image processing technology, acquiring a contrast threshold through a storage module, and comparing the contrast of the analysis image with the contrast threshold: if the contrast is smaller than the contrast threshold, judging that the recognition failure cause is the environment light abnormality, sending a light abnormality signal to a server by the interference analysis module, and sending the light abnormality signal to the abnormality analysis module by the server after receiving the light abnormality signal; if the contrast is greater than or equal to the contrast threshold, judging that the identification source is not provided with ETC, sending a vehicle owner reminding signal to a server by the interference analysis module, and sending the vehicle owner reminding signal to a mobile phone terminal of the vehicle owner after the server receives the ETC fault signal; the method comprises the steps of carrying out interference analysis on an ETC portal frame transaction area, carrying out feedback on bypass interference phenomenon and vehicle following interference phenomenon existing in an ETC identification process by monitoring repeated information and ETC information quantity in a license plate information set, carrying out statistics on identification abnormal phenomena caused by ETC self factors, carrying out contrast analysis on snap-shot images, and feeding back an external snap-shot environment.
The anomaly analysis module is used for monitoring and analyzing the anomaly state of the ETC charging system: generating an analysis period, and respectively marking the quantity of the light abnormal signal, the following interference signal and the bypass interference signal received by the abnormal analysis module in the analysis period as a light value GX, a following value GC and a bypass value PD; obtaining an anomaly coefficient YC of the analysis period through a formula yc=α1×gx+α2×gc+α3×pd, wherein the anomaly coefficient is a numerical value reflecting the anomaly degree of the ETC recognition state in the analysis period, and the greater the numerical value of the anomaly coefficient is, the higher the anomaly degree of the ETC recognition in the analysis period is; wherein α1, α2, and α3 are proportionality coefficients, and α3 > α2 > α1 > 1; the abnormal threshold YCmax is obtained through the storage module, and the abnormal coefficient YC of the analysis period is compared with the abnormal threshold YCmax: if the anomaly coefficient YC is smaller than the anomaly threshold YCmax, judging that the ETC identification state in the analysis period meets the requirement, and sending an identification normal signal to a server by the anomaly analysis module; if the anomaly coefficient YC is greater than or equal to the anomaly threshold YCmax, judging that the ETC identification state in the analysis period does not meet the requirement, sending an identification anomaly signal to a server by an anomaly analysis module, and sending the identification anomaly signal to a mobile phone terminal of a manager after the server receives the identification anomaly signal; the abnormal state of the ETC charging system is monitored and analyzed, and the abnormal coefficient is obtained through comprehensive analysis and numerical calculation of the received quantity of the optical abnormal signal, the vehicle following interference signal and the side channel interference signal, so that the ETC identification state in the analysis period is fed back according to the abnormal coefficient, and early warning is timely carried out when the ETC identification state is abnormal.
Example two
As shown in fig. 2, a novel on-line self-service/ETC charging method for expressways comprises the following steps:
step one: ETC recognition and management analysis are carried out on vehicles at the toll gate: the vehicle enters a coil in front of the payment machine, license plate recognition is used for capturing photos and acquiring license plate information, charging software is used for comparing and judging whether the captured license plate information is matched with license plate information in an ETC card, different operations are executed through OBU recognition conditions, vehicle passing efficiency is improved, and meanwhile phenomena that an antenna senses an OBU card and the license plate information is not matched are monitored;
step two: interference analysis is carried out on the ETC portal frame transaction area: marking all ETC antennae of an ETC portal frame transaction area as analysis objects, acquiring all ETC card information received by the analysis objects, and judging whether repeated information exists in the ETC card information;
step three: and carrying out deep analysis on license plate information: marking an image subjected to snapshot of license plate recognition as an analysis image, acquiring contrast of the analysis image through an image processing technology, acquiring a contrast threshold through a storage module, comparing the contrast of the analysis image with the contrast threshold, judging whether the ambient light is abnormal or not through a comparison result, and feeding back a bypass interference phenomenon and a following interference phenomenon existing in an ETC recognition process so as to count recognition abnormal phenomena caused by ETC self factors;
step four: monitoring and analyzing the abnormal state of the ETC charging system: generating an analysis period, acquiring a light ray value GX, a following value GC and a bypass value PD in the analysis period, performing numerical calculation to obtain an anomaly coefficient YC, judging whether the ETC identification state in the analysis period meets the requirement or not according to the numerical value of the anomaly coefficient YC, and early warning in time when the ETC identification state is abnormal.
When the invention works, ETC recognition and management analysis are carried out on vehicles at a toll gate, the vehicles drive into coils in front of a toll collector, license plate recognition is carried out to capture and acquire license plate information, and at the moment, toll collection software is used for comparing and judging whether the captured license plate information is matched with license plate information in an ETC card; performing interference analysis on the ETC portal frame transaction area, marking all ETC antennae of the ETC portal frame transaction area as analysis objects, acquiring all ETC card information received by the analysis objects, and judging whether repeated information exists in the ETC card information; carrying out depth analysis on license plate information, marking an image which is captured by license plate recognition as an analysis image, obtaining the contrast of the analysis image through an image processing technology, obtaining a contrast threshold through a storage module, comparing the contrast of the analysis image with the contrast threshold, and judging whether the ambient light has abnormality or not through a comparison result; monitoring and analyzing the abnormal state of the ETC charging system, generating an analysis period, acquiring a light ray value GX, a following value GC and a bypass value PD in the analysis period, performing numerical calculation to obtain an abnormal coefficient YC, and judging whether the ETC identification state in the analysis period meets the requirement or not through the numerical value of the abnormal coefficient YC.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula yc=α1×gx+α2×gc+α3×pd; collecting a plurality of groups of sample data by a person skilled in the art and setting corresponding anomaly coefficients for each group of sample data; substituting the set abnormal coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 which are 3.74, 2.97 and 2.65 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding abnormal coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the abnormal coefficient is directly proportional to the value of the bypass value.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.

Claims (7)

1. The novel on-line self-service/ETC charging system for the expressway is characterized by comprising a server, wherein the server is in communication connection with an ETC management module, an interference analysis module, an abnormality analysis module and a storage module;
the ETC management module is used for carrying out ETC identification and management analysis on vehicles at the toll gate: when the automobile enters an ETC portal frame transaction area, if the vehicle is provided with an OBU, transaction is carried out, and transaction information is displayed in an information display screen; the car drives into the coil in front of the payment machine, license plate recognition is performed and license plate information is acquired, and at the moment, charging software performs comparison: if the RSU antenna does not sense the OBU and ETC cards, the charging software prompts the vehicle owner to take the cards or swipe the ETC cards or sweep codes for payment on the self-service machine through voice and screen display; if the RSU antenna senses that the OBU or the ETC card is not matched with the license plate information in the ETC card or the OBU card, simultaneously the ETC management module sends an interference analysis signal to the server, and the server sends the interference analysis signal to the interference analysis module after receiving the interference analysis signal; if the RSU antenna senses the OBU or the ETC card and license plate information in the ETC card or the OBU card is matched with the snapped license plate information, sending a successful charging signal to a server after self-service card issuing/payment is carried out on the vehicle, and controlling a railing lifting rod of the railing machine to pass after the server receives the successful charging signal;
the interference analysis module is used for carrying out interference analysis on the ETC portal frame transaction area;
the anomaly analysis module is used for monitoring and analyzing the anomaly state of the ETC charging system.
2. The novel on-line self-service/ETC charging system for expressways according to claim 1, wherein the specific process of the interference analysis module for carrying out interference analysis on the ETC portal frame transaction area is as follows: marking all ETC antennae of an ETC portal frame transaction area as analysis objects, acquiring all ETC card information received by the analysis objects, and judging whether repeated information exists in the ETC card information: if yes, judging that the recognition failure reason is bypass interference, sending a bypass interference signal to a server by an interference analysis module, and sending the bypass interference signal to an abnormality analysis module after the server receives the bypass interference signal; if not, comparing the number of ETC card information with the number of analysis objects.
3. The novel on-line self-help/ETC charging system for expressways according to claim 2, wherein the specific process of comparing the number of ETC card information with the number of analysis objects is as follows: if the recognition failure is inconsistent, judging that the recognition failure is the car following interference, sending a car following interference signal to a server by an interference analysis module, and sending the car following interference signal to an abnormality analysis module after the server receives the car following interference signal; and if the license plate information is consistent, carrying out deep analysis on the license plate information.
4. The novel on-line self-help/ETC charging system for expressways according to claim 3, wherein the specific process of performing the deep analysis on license plate information is as follows: marking an image subjected to snapshot of license plate recognition as an analysis image, acquiring the contrast of the analysis image through an image processing technology, acquiring a contrast threshold through a storage module, and comparing the contrast of the analysis image with the contrast threshold: if the contrast is smaller than the contrast threshold, judging that the recognition failure cause is the environment light abnormality, sending a light abnormality signal to a server by the interference analysis module, and sending the light abnormality signal to the abnormality analysis module by the server after receiving the light abnormality signal; if the contrast is greater than or equal to the contrast threshold, the recognition cause is judged to be that ETC is not installed, the interference analysis module sends an owner reminding signal to the server, and the server sends the owner reminding signal to the mobile phone terminal of the owner after receiving the ETC fault signal.
5. The novel on-line self-service/ETC charging system for expressways according to claim 4, wherein the specific process of monitoring and analyzing the abnormal state of the ETC charging system by the abnormality analysis module is as follows: generating an analysis period, and respectively marking the quantity of the light abnormal signal, the following interference signal and the bypass interference signal received by the abnormal analysis module in the analysis period as a light value GX, a following value GC and a bypass value PD; obtaining an anomaly coefficient YC of an analysis period by carrying out numerical calculation on a light ray value GX, a following value GC and a bypass value PD; the method comprises the steps of obtaining an abnormal threshold YCmax through a storage module, comparing an abnormal coefficient YC of an analysis period with the abnormal threshold YCmax, and judging whether the ETC identification state of the analysis period meets the requirement or not through a comparison result.
6. The novel on-line self-help/ETC toll collection system for expressways according to claim 5, wherein the specific process of comparing the anomaly coefficient YC of the analysis period with the anomaly threshold YCmax is as follows: if the anomaly coefficient YC is smaller than the anomaly threshold YCmax, judging that the ETC identification state in the analysis period meets the requirement, and sending an identification normal signal to a server by the anomaly analysis module; if the anomaly coefficient YC is greater than or equal to the anomaly threshold YCmax, the ETC identification state in the analysis period is judged to be not satisfied, the anomaly analysis module sends an identification anomaly signal to the server, and the server sends the identification anomaly signal to the mobile phone terminal of the manager after receiving the identification anomaly signal.
7. The novel on-line self-service/ETC charging system for expressways according to any one of claims 1 to 6, wherein the working method of the novel on-line self-service/ETC charging system for expressways comprises the steps of:
step one: ETC recognition and management analysis are carried out on vehicles at the toll gate: the vehicle enters a coil in front of the payment machine, license plate recognition is used for capturing photos and acquiring license plate information, and charging software is used for comparing and judging whether the captured license plate information is matched with license plate information in the ETC card or not;
step two: interference analysis is carried out on the ETC portal frame transaction area: marking all ETC antennae of an ETC portal frame transaction area as analysis objects, acquiring all ETC card information received by the analysis objects, and judging whether repeated information exists in the ETC card information;
step three: and carrying out deep analysis on license plate information: marking an image subjected to snapshot of license plate recognition as an analysis image, acquiring the contrast of the analysis image through an image processing technology, acquiring a contrast threshold through a storage module, comparing the contrast of the analysis image with the contrast threshold, and judging whether the ambient light has an abnormality or not through a comparison result;
step four: monitoring and analyzing the abnormal state of the ETC charging system: generating an analysis period, acquiring a light ray value GX, a following value GC and a bypass value PD in the analysis period, performing numerical calculation to obtain an anomaly coefficient YC, and judging whether the ETC identification state in the analysis period meets the requirement or not through the numerical value of the anomaly coefficient YC.
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