CN112783936A - Beidou positioning-based highway fee evasion checking method and system - Google Patents
Beidou positioning-based highway fee evasion checking method and system Download PDFInfo
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Abstract
The invention provides a Beidou positioning-based highway fee evasion checking method, which comprises the following steps of: collecting spatial data information in real time through a Beidou positioning terminal; converting and fitting the acquired spatial data information into spatial data, and calculating the fitting result by combining road network information, the rate and vehicle information to obtain a toll inspection flow; comparing the toll inspection running water with the charging running water, generating an abnormal work order if abnormal defects are found, and pushing the abnormal work order to an inspector for judgment and confirmation; establishing a big data inspection model, matching with the charging flow water, and generating a suspected abnormal list; and pushing the suspected abnormal list to an inspector for confirmation, and judging whether the vehicle has illegal behaviors. The invention also provides a Beidou positioning-based highway fee evasion checking system. According to the invention, through establishing various inspection models to carry out big data analysis, a complete evidence chain is formed, and a basis is provided for mileage charge payment, vehicle management and state list management.
Description
Technical Field
The invention relates to the technical field of highway fee evasion checking, in particular to a highway fee evasion checking method and system based on Beidou positioning.
Background
The existing checking system of the ETC high-speed electronic toll collection system is developed on the basis of an inland closed road network, a large amount of portal flow data, video card port data and entrance and exit toll station data, and cannot support open road network and Beidou positioning data.
Therefore, there is a need in the art to develop an auditing system that can overcome the above-mentioned technical problems in the prior art.
Disclosure of Invention
The invention aims to provide a highway fee evasion checking method based on Beidou positioning, which can solve the technical problem that the existing checking system of an ETC high-speed electronic toll collection system cannot support open type road networks and Beidou positioning data on the basis of an inland closed type road network, portal flow data, video gate data and entrance and exit toll station data.
The invention also aims to provide a highway fee evasion checking system based on Beidou positioning, which can solve the technical problem that the existing checking system of the ETC high-speed electronic toll collection system cannot support open type road networks and Beidou positioning data on the basis of an inland closed type road network, portal flow data, video card port data and entrance and exit toll station data.
The invention provides a Beidou positioning-based highway fee evasion checking method, which comprises the following steps of:
acquiring spatial data information of a mileage charge operation management platform and a third-party platform in real time through a Beidou positioning terminal;
converting and fitting the acquired spatial data information into spatial data, and calculating the obtained fitting result by combining road network information, the rate and vehicle information to obtain a toll inspection flow;
comparing the toll inspection running water with the charging running water generated by the mileage charge operation management platform, generating an abnormal work order if abnormal defects are found, pushing the abnormal work order to an inspector for judgment and confirmation, and judging whether a payment missing behavior exists or not;
establishing a big data inspection model, matching the charging running water generated by the mileage charge operation management platform, and generating a suspected abnormal list;
and pushing the suspected abnormal list to an inspector for confirmation, and judging whether the vehicle has illegal behaviors.
Preferably, the mileage charge operation management platform is used for providing vehicle positioning information, video card port information, LBS positioning information and public security card port information.
Preferably, the pushing the suspected abnormal list to an inspector for confirmation and the determining whether the vehicle has an illegal action includes:
confirming vehicles with illegal behaviors, and moving vehicle information into a key monitoring list by the system;
and confirming the vehicle with the missed payment behavior, and automatically informing the user of the vehicle information to move into the additional payment list by the system to carry out additional payment.
Preferably, the pushing the suspected abnormal list to an inspector for confirmation and determining whether the vehicle has an illegal action further includes:
and confirming that vehicles which are not paid for many times or are not paid for many times exist, transferring the vehicle information into a payment tracing list by the system, and pushing the vehicle information to the mobile inspection personnel for toll payment tracing.
Preferably, the pushing the abnormal work order to the inspection staff for judgment and confirmation, and the judging whether the payment missing behavior exists includes:
and confirming the vehicle with the missed payment behavior, and automatically informing the user of the vehicle information to move into the additional payment list by the system to carry out additional payment.
Preferably, the pushing the abnormal work order to the inspection staff for judgment and confirmation, and the judging whether the payment missing behavior exists further includes:
and confirming that vehicles which are not paid for many times or are not paid for many times exist, transferring the vehicle information into a payment tracing list by the system, and pushing the vehicle information to the mobile inspection personnel for toll payment tracing.
The invention also provides a Beidou positioning-based highway fee evasion checking system, which comprises the following components: a big data checking module, a work order module, a list management module and an external field checking module,
the big data inspection module is used for acquiring spatial data information and establishing different inspection models based on the mileage charge operation management platform and a third-party platform, comparing the toll inspection running water with the charging running water generated by the mileage charge operation management platform, generating a gray list work order if abnormal defects are found, pushing the gray list work order to an inspector for judgment and confirmation, and judging whether a payment omission behavior exists or not; matching the charging flow generated by the mileage charge operation management platform through different inspection models to generate a suspected abnormal list, pushing the suspected abnormal list to inspection personnel for confirmation, judging whether the vehicle has illegal behaviors and neglected payment behaviors, confirming that the illegal behaviors and the neglected payment behaviors exist, and generating a compensation payment work order, a compensation payment list and a key monitoring list;
the work order module is used for receiving and storing the gray list work order and the supplementary payment work order generated by the big data inspection module;
the list management module is used for receiving and storing the suspected abnormal list, the supplementary payment list and the key monitoring list generated by the big data inspection module;
the outfield inspection module is used for receiving the information of the work order module and the name list management module, performing data interaction with a mileage charge operation management platform, inspecting field vehicles through a handheld terminal, matching or uploading vehicle license plate image information to the field vehicles, automatically detecting vehicle illegal conditions, performing law enforcement on the illegal vehicles, and chasing for leaked toll.
Preferably, the toll inspection pipeline is obtained by the big data inspection module converting and fitting the spatial data and calculating the obtained fitting result by combining road network information, rate and vehicle information.
Preferably, the system also comprises a credit management module which performs data interaction with the big data inspection module, the work order module, the list management module and the field inspection module,
the credit management module is used for collecting vehicle driving data, vehicle insurance data and vehicle owner credit account data, analyzing vehicle behaviors, establishing a vehicle credit library, checking identity traits, behavior preference, credit history and performance capability, and removing the work order module and the list management module for users or vehicles with qualified credit and successful subsidy.
Preferably, the system also comprises a user complaint module which interacts with the work order module data,
the work order module is also used for receiving the complaint proposed by the user to form a complaint work order;
the user complaint module is used for managing the whole complaint process by initiating, processing and auditing the complaint worksheet and judging whether the complaint proposed by the user is abnormal or not.
Compared with the prior art, the Beidou positioning-based highway fee evasion checking method and system have the following beneficial effects:
1. the inspection system of the invention acquires spatial data information based on a mileage charge operation management platform and a third-party platform, acquires data through mobile inspection, combines vehicle passing data, utilizes a big data inspection module, performs big data analysis by establishing various inspection models, finds suspicious behavior vehicles, forms a complete evidence chain, provides basis for mileage charge chasing, vehicle management and state list management, and builds a set of closed-loop inspection management system from vehicle fee evasion behavior discovery, evidence generation, expense chasing, violation behavior punishment and credit evaluation.
2. According to the invention, through the big data inspection module, double inspection of toll overtaking and illegal behaviors is realized, credit evaluation and list management of vehicle users and vehicles are realized, vehicle illegal behavior confirmation and toll overtaking are realized through a mobile inspection mode, and accurate identification of road fee evasion and timely overtaking of fee evasion behaviors are realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a framework flow of a Beidou positioning-based highway fee evasion checking method of the invention;
FIG. 2 is a schematic view of a flow structure of a Beidou positioning-based highway fee evasion checking method of the invention;
fig. 3 is a schematic diagram of a frame structure of the Beidou positioning-based highway fee evasion checking system of the invention.
Summary of reference numerals:
1. big data inspection module 2 and work order module
3. List management module 4 field inspection module
5. Credit management module 6 and user complaint module
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
As shown in fig. 1 and 2, the road fee evasion checking method based on Beidou positioning provided by the invention comprises the following steps:
acquiring spatial data information of a mileage charge operation management platform and a third-party platform in real time through a Beidou positioning terminal;
converting and fitting the acquired spatial data information into spatial data, and calculating the obtained fitting result by combining road network information, the rate and vehicle information to obtain a toll inspection flow;
comparing the toll check running water with the charging running water generated by the mileage charge operation management platform, generating an abnormal work order if abnormal defects are found, pushing the abnormal work order to an inspector for judgment and confirmation, and judging whether a payment missing behavior exists or not;
establishing a big data inspection model, matching the charging running water generated by the mileage charge operation management platform, and generating a suspected abnormal list;
and pushing the suspected abnormal list to an inspector for confirmation, and judging whether the vehicle has illegal behaviors.
The spatial data information of the mileage charge operation management platform comprises vehicle Beidou positioning information, LBS positioning information, video card port image data, structural information, public security card port information, road network information, rate, vehicle information and the like. And the third-party platform is used for providing relevant service data, including data of port vehicle reservation, truck path reservation, preferential vehicle management, port data check, green traffic check and the like.
The image data conversion of the video card port adopts an AI image recognition technology, so that the image recognition proportion and the accuracy are effectively improved; and combining a big data processing engine to form vehicle structural data, and rapidly positioning the target vehicle by analyzing the vehicle characteristics.
The pushing of the suspected abnormal list to the inspection staff for confirmation and the judgment of whether the vehicle has illegal behaviors comprises the following steps: confirming vehicles with illegal behaviors, and moving vehicle information into a key monitoring list by the system; confirming the vehicle with the missed payment behavior, and automatically informing the user of the vehicle information to move into a payment supplementing list by the system; and confirming that vehicles which are not paid for many times or are not paid for many times exist, transferring the vehicle information into a payment tracing list by the system, and pushing the vehicle information to the mobile inspection personnel for toll payment tracing.
Preferably, the step of pushing the abnormal work order to an inspector for judgment and confirmation, wherein the step of judging whether the payment missing behavior exists includes: confirming the vehicle with the missed payment behavior, and automatically informing the user of the vehicle information to move into a payment supplementing list by the system; and confirming that vehicles which are not paid for many times or are not paid for many times exist, transferring the vehicle information into a payment tracing list by the system, and pushing the vehicle information to the mobile inspection personnel for toll payment tracing.
The inspection system of the invention acquires spatial data information based on a mileage charge operation management platform and a third-party platform, acquires data through mobile inspection, combines vehicle passing data, utilizes a big data inspection module, performs big data analysis by establishing various inspection models, finds suspicious behavior vehicles, forms a complete evidence chain, provides basis for mileage charge chasing, vehicle management and state list management, and builds a set of closed-loop inspection management system from vehicle fee evasion behavior discovery, evidence generation, expense chasing, violation behavior punishment and credit evaluation.
The invention also provides a Beidou positioning-based highway fee evasion checking system, which comprises the following components as shown in figure 3: big data inspection module 1, work order module 2, list management module 3 and field inspection module 4.
The big data inspection module 1 is used for acquiring spatial data information and establishing different inspection models based on the mileage charge operation management platform and the third-party platform, converting and fitting the spatial data, and calculating the obtained fitting result by combining road network information, rate and vehicle information to obtain toll inspection assembly line; comparing the toll check running water with the charging running water generated by the mileage charge operation management platform, generating a gray list work order when abnormal deficiency is found, pushing the gray list work order to an inspector for judgment and confirmation, and judging whether a payment missing behavior exists or not; matching the charging flow generated by the mileage charge operation management platform through different inspection models to generate a suspected abnormal list, pushing the suspected abnormal list to inspection personnel for confirmation, judging whether the vehicle has illegal behaviors and neglected payment behaviors, confirming that the illegal behaviors and the neglected payment behaviors exist, and generating a compensation payment work order, a compensation payment list and a key monitoring list;
the work order module 2 is used for receiving and storing the gray list work order and the supplementary payment work order generated by the big data inspection module 1;
the list management module 3 is used for receiving and storing the suspected abnormal list, the supplementary payment list and the key monitoring list generated by the big data inspection module 1;
the outfield inspection module 4 is used for receiving the information of the work order module 2 and the list management module 3, performing data interaction with a mileage charge operation management platform, inspecting the field vehicle through a handheld terminal, matching or uploading vehicle license plate image information to the field vehicle, automatically detecting the vehicle illegal conditions, performing law enforcement on the illegal vehicle, and chasing for the leaked toll.
Aiming at the gray list work order, the big data inspection adopts an off-line calculation mode to secondarily calculate running water generated by services such as space data, charging and the like, generates toll inspection running water by calculating the track running water of the space and combining the rate, compares the charging running water with the toll inspection running water, and finally generates the gray list work order; matching mileage charge flow by using an inspection model to obtain a suspected abnormal list, pushing the total amount of the suspected abnormal list to inspection and audit personnel for checking and confirmation, recording a result into a subsidy list, and automatically informing a user of subsidy in a limited time by the system, and calculating a late payment and a late payment without artificial abnormality according to a day; if the payment is not paid in due period and the person is confirmed to be abnormal, the late payment is calculated according to the day, the late payment is also transferred to a payment pursuing list and a payment pursuing work order is generated, and the payment pursuing is carried out through mobile inspection subsequently; if the vehicle owner credit system is confirmed to be a blacklist user, the result is recorded into a key monitoring list, key monitoring is carried out on the vehicle through mobile check subsequently, a credit system is established, punishment is carried out on the vehicle owner through the credit system, and the key monitoring list can be removed after the vehicle owner credit is recovered. The platform analyzes the operation records of each list in the list management module 3, and can find whether the internal staff has abnormal operations such as illegal operations.
The Beidou positioning-based road fee evasion checking system can also comprise a credit management module 5, wherein the credit management module 5 performs data interaction with the big data checking module 1, the work order module 2, the list management module 3 and the field checking module 4. The credit management module 5 is used for collecting vehicle driving data, vehicle insurance data and vehicle owner credit account data, analyzing vehicle behaviors, establishing a vehicle credit library, checking identity traits, behavior preferences, credit history and performance capability, and removing the work order module 2 and the list management module 3 for users or vehicles with qualified credit and successful subsidy. The vehicle credit pool's score rules refer to sesame credit rules such as: the rule is as follows,
identity traits (15%): the personal basic information and the vehicle basic information which are abundant and reliable enough and are left in the relevant service using process are verified to be qualified through third-party data;
behavioral preference (25%): various behavior preferences and stability during vehicle travel;
credit history (35%): vehicle insurance records and vehicle insurance history, owner credit account and credit account history;
performance capacity (25%): the past mileage bill payment condition and the use of various credit services and the guarantee of timely fulfillment.
The comprehensive evaluation according to the above rules separates 4 credit levels: 600 or more is good, 650 or more is excellent, 700 or more is excellent, and 950 is classified as a capping value. Credit is considered to be general when the credit score is below 600 points, users and vehicles with the credit value are added into the list management module 3, and then the list management module 3 is removed when the credit value is recovered for more than 600 points through long-term credit accumulation and evaluation.
In a further embodiment of the invention, the Beidou positioning-based road fee evasion inspection system further comprises a user complaint module 6, the user complaint module 6 is in data interaction with the work order module 2, and the work order module 2 is further used for receiving complaints proposed by users to form a complaint work order. The user complaint module 6 is used for managing the whole complaint process by initiating, processing and auditing the complaint work order and judging whether the complaint proposed by the user is abnormal or not.
The method comprises the steps that a user submits a complaint appeal through a complaint channel (app, customer service telephone and on-site city inspection bureaus) provided by a platform, the platform customer service or inspection staff judges whether the complaint is abnormal or not, refund is provided according to normal refund, the inspection staff generates a worksheet for replanning and charging, a compensation payment worksheet is generated, the user is informed to confirm a processing result, the complaint of the user in five working days can be continuously complained in the mode, the user recognition result is defaulted overtime, and a compensation payment flow is entered.
The outfield inspection module 4 comprises mobile inspection and fixed inspection.
The mobile inspection is mainly performed by the handheld terminal, and can be an APP or integrated in the handheld terminal. Through the communication with the platform, receive blacklist, chase after and pay the list information, match with the on-the-spot vehicle or upload the vehicle license plate image, the system automated inspection vehicle violation condition, discover and carry out the law enforcement to the vehicle of violation, chase after and pay and flee for the toll, and can open the punishment according to the law, and can check on the spot and type in the vehicle blacklist.
The fixed inspection is an inspection service center, which mainly provides field complaints, illegal penalty payment, additional payment and the like for mileage bills externally, and users have objections to law enforcement or travel lists and can deal with the complaints here.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (10)
1. A road fee evasion checking method based on Beidou positioning is characterized by comprising the following steps:
acquiring spatial data information of a mileage charge operation management platform and a third-party platform in real time through a Beidou positioning terminal;
converting and fitting the acquired spatial data information into spatial data, and calculating the obtained fitting result by combining road network information, the rate and vehicle information to obtain a toll inspection flow;
comparing the toll inspection running water with the charging running water generated by the mileage charge operation management platform, generating an abnormal work order if abnormal defects are found, pushing the abnormal work order to an inspector for judgment and confirmation, and judging whether a payment missing behavior exists or not;
establishing a big data inspection model, matching the charging running water generated by the mileage charge operation management platform, and generating a suspected abnormal list;
and pushing the suspected abnormal list to an inspector for confirmation, and judging whether the vehicle has illegal behaviors.
2. The Beidou positioning-based road fee evasion checking method according to claim 1, wherein the mileage fee operation management platform is used for providing vehicle positioning information, video card port information, LBS positioning information and public security card port information.
3. The Beidou positioning-based road fee evasion checking method of claim 1, wherein the pushing of the suspected abnormal list to the checking personnel for confirmation and the judging of the vehicle illegal behavior comprises:
confirming vehicles with illegal behaviors, and moving vehicle information into a key monitoring list by the system;
and confirming the vehicle with the missed payment behavior, and automatically informing the user of the vehicle information to move into the additional payment list by the system to carry out additional payment.
4. The Beidou positioning-based road fee evasion checking method of claim 3, wherein the pushing of the suspected abnormal list to the checking personnel for confirmation and the judging of the vehicle illegal activities further comprises:
and confirming that vehicles which are not paid for many times or are not paid for many times exist, transferring the vehicle information into a payment tracing list by the system, and pushing the vehicle information to the mobile inspection personnel for toll payment tracing.
5. The Beidou positioning-based road fee evasion checking method of claim 1, wherein the pushing of the abnormal work order to the checking personnel for determination and confirmation comprises:
and confirming the vehicle with the missed payment behavior, and automatically informing the user of the vehicle information to move into the additional payment list by the system to carry out additional payment.
6. The Beidou positioning-based road fee evasion checking method of claim 5, wherein the step of pushing the abnormal work order to the checking personnel for judgment and confirmation and the step of judging whether the payment missing behavior exists further comprises the steps of:
and confirming that vehicles which are not paid for many times or are not paid for many times exist, transferring the vehicle information into a payment tracing list by the system, and pushing the vehicle information to the mobile inspection personnel for toll payment tracing.
7. The utility model provides a highway fee evasion inspection system based on big dipper location which characterized in that includes: a big data checking module, a work order module, a list management module and an external field checking module,
the big data inspection module is used for acquiring spatial data information and establishing different inspection models based on the mileage charge operation management platform and a third-party platform, comparing the toll inspection running water with the charging running water generated by the mileage charge operation management platform, generating a gray list work order if abnormal defects are found, pushing the gray list work order to an inspector for judgment and confirmation, and judging whether a payment omission behavior exists or not; matching the charging flow generated by the mileage charge operation management platform through different inspection models to generate a suspected abnormal list, pushing the suspected abnormal list to inspection personnel for confirmation, judging whether the vehicle has illegal behaviors and neglected payment behaviors, confirming that the illegal behaviors and the neglected payment behaviors exist, and generating a compensation payment work order, a compensation payment list and a key monitoring list;
the work order module is used for receiving and storing the gray list work order and the supplementary payment work order generated by the big data inspection module;
the list management module is used for receiving and storing the suspected abnormal list, the supplementary payment list and the key monitoring list generated by the big data inspection module;
the outfield inspection module is used for receiving the information of the work order module and the name list management module, performing data interaction with a mileage charge operation management platform, inspecting field vehicles through a handheld terminal, matching or uploading vehicle license plate image information to the field vehicles, automatically detecting vehicle illegal conditions, performing law enforcement on the illegal vehicles, and chasing for leaked toll.
8. The Beidou positioning-based road fee evasion checking system according to claim 7, wherein the toll fee inspection pipeline converts and fits the spatial data to the big data inspection module, and calculates the obtained fitting result by combining road network information, rate and vehicle information.
9. The Beidou positioning-based road fee evasion checking system according to claim 7, further comprising a credit management module, wherein the credit management module performs data interaction with the big data checking module, the work order module, the list management module and the field checking module,
the credit management module is used for collecting vehicle driving data, vehicle insurance data and vehicle owner credit account data, analyzing vehicle behaviors, establishing a vehicle credit library, checking identity traits, behavior preference, credit history and performance capability, and removing the work order module and the list management module for users or vehicles with qualified credit and successful subsidy.
10. The Beidou positioning-based road fare inspection system of claim 7, further comprising a user complaint module, wherein the user complaint module is in data interaction with the work order module,
the work order module is also used for receiving the complaint proposed by the user to form a complaint work order;
the user complaint module is used for managing the whole complaint process by initiating, processing and auditing the complaint worksheet and judging whether the complaint proposed by the user is abnormal or not.
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