Highway toll station digital intelligent management platform based on multi-source data fusion

Abstract

The invention relates to the technical field of toll station management platforms, in particular to a highway toll station digital intelligent management platform based on multi-source data fusion, which comprises a lane terminal system, a toll cloud platform and a digital intelligent management platform, the lane terminal system comprises an ETC lane control unit, an unattended lane unit and a mobile lane unit. The system has the advantages that the green channel management module scans a two-dimensional code to generate an electronic check list, and the green channel management module automatically compares a pass report to generate cooperation of a recovery work order, so that a digital closed loop of evidence obtaining, verification, disposal and archiving is formed, and a dual-active disaster recovery mechanism based on an emergency charging cloud box is formed; 99.5% of transaction success rate is still maintained in extreme environments such as a weak network in a mountainous area, full-service support of an ETC / MTC lane in an emergency state is guaranteed by storing latest list data and a charging module version, and computing resources are automatically expanded according to a transaction peak value by relying on an elastic scheduling strategy of a cloud resource system, dynamic allocation of GPU computing power and distributed block storage.

Description

Technical Field

[0001] This invention relates to the field of toll station management platform technology, and in particular to a digital intelligent management platform for highway toll stations based on multi-source data fusion. Background Technology

[0002] In recent years, after the elimination of provincial toll stations, the highway network toll collection system has gradually achieved nationwide integrated operation. However, in actual operation, it still faces common problems such as insufficient system stability, fluctuating billing accuracy, and inconsistent business standards. The existing toll collection architecture exhibits significant data fragmentation: the lack of standardized protocols between lane equipment, station-level systems, and the cloud platform results in the scattered storage of toll data, overload control records, and emergency response information, forming multiple information silos. This decentralized operation and maintenance model not only increases system coordination costs but also reduces the efficiency of emergency response.

[0003] From a technical implementation perspective, existing toll collection systems suffer from three major bottlenecks: 1. Business collaboration barriers: Core functions such as lane trading, special situation investigation, and green channel inspection operate independently, and cross-business data requires manual comparison and verification. For example, truck axle inspection results cannot be matched with traffic medium information in real time, special situation vehicle evidence collection is separated from toll collection records, and collection work orders rely on manual investigation after the fact, which seriously affects the timeliness of handling.

[0004] 2. Low management efficiency: Daily operations rely heavily on paper-based processes, including CPC card issuance registration, fixed-amount ticket management, and equipment inspection records. Frontline staff must manually fill out numerous ledgers, which not only imposes a heavy workload but also makes it difficult to ensure data accuracy and traceability.

[0005] 3. Lack of intelligent analysis: The massive amount of traffic data has not been effectively mined and utilized. For example, there is a lack of automated analysis tools for identifying the behavior patterns of overloaded trucks and issuing early warnings of abnormal traffic characteristics, such as "running long distances to buy short distances" and predicting traffic flow during holidays. Management decisions are still mainly based on experience-based judgment. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the prior art and provide a digital management platform for highway toll stations based on multi-source data fusion, which effectively solves the deficiencies of the prior art.

[0007] To achieve the above objectives, one embodiment of the present invention provides a digital intelligent management platform for highway toll stations based on multi-source data fusion, including a lane terminal system, a toll cloud platform, and a digital intelligent management platform; The lane terminal system includes an ETC lane control unit, an unattended lane unit, and a mobile lane unit, which are used to collect toll transaction data, vehicle axle inspection data, and special situation evidence data. The toll collection cloud platform receives lane data through a standardized data transmission protocol, has a built-in toll transaction support system to perform online billing and status list verification, and integrates an emergency toll collection cloud box to achieve network anomaly switching. The digital management platform includes an operations management module, a daily management module, and a data analysis engine, which aggregates multi-source data to realize green channel inspection, work order closure, and passage behavior modeling.

[0008] Preferably, as described in any of the above schemes, the fee transaction support system includes: The toll collection service unit processes ETC / MTC / self-service lane transaction requests. The billing service unit calls the media billing, provincial online billing, and minimum fee billing modules; The status list service unit verifies vehicle blacklists, green channel reservations, and the status of oversized cargo transportation.

[0009] Preferably, as described in any of the above solutions, the operation management module includes: The green channel management unit generates electronic inspection forms by scanning QR codes with mobile terminals, which are then verified through the ministerial-level platform. The special investigation unit automatically compares overload control records with traffic flow records and initiates retrieval work orders for abnormal vehicles. The performance management unit scores toll stations and operators based on digital ledgers.

[0010] Preferably, according to any of the above schemes, the special investigation unit includes: The intelligent comparison sub-unit analyzes the entrance overload control report and the exit passage flow to mark vehicles without a certificate; The work order flow rotor unit initiates audit work orders to the superior unit and tracks the processing status. The interception and reminder subunit triggers a real-time alarm on the terminal when a vehicle being pursued passes through an ETC lane.

[0011] Preferably, as described in any of the above solutions, the daily management module includes: The electronic shift handover unit records toll collectors' attendance, equipment status, and special circumstances. Inspection records of the inspection management unit, digital management and charging equipment, computer room facilities and fire-fighting equipment; The ticket management unit registers CPC card and fixed-amount ticket issuance and return information online.

[0012] Preferably, as described in any of the above schemes, the data analysis engine includes: The overload analysis unit identifies the single / dual drive characteristics of trucks and their re-weighing behavior. The abnormal passage unit detects abnormal modes such as temporary license plates having no entrance or unconventional catch-all procedures. The trajectory tracking unit uses GIS to replay the vehicle's historical route to assist in inspection decision-making.

[0013] Preferably, as described in any of the above schemes, the lane terminal system further includes: The axle inspection linkage unit matches the truck axle inspection data and weighing results at the entrance lane, and compares the number of axles at the entrance of the exit lane with the OBU / CPC card. The remote monitoring unit uses a cloud platform for video-based collaborative handling of emergencies in self-service lanes.

[0014] Preferably, any of the above solutions further includes: The intelligent terminal APP integrates an OCR recognition unit to achieve offline license plate recognition, and a file encryption unit to ensure local data security. The visual monitoring center dynamically renders the status of toll stations, hotspots for special incidents, and traffic density on an electronic map. Preferably, according to any of the above solutions, the intelligent terminal APP includes: The key vehicle verification unit retrieves waybill data from the provincial networked control system in real time. The one-click reporting unit pushes incidents of pedestrians trespassing and motorcycles running through checkpoints to the road administration system.

[0015] Preferred from any of the above solutions, the charging cloud platform deploys a cloud resource system, uses elastic load balancing to distribute transaction requests, persists transaction data through distributed block storage, and dynamically schedules GPU resources to process video analysis tasks according to business peaks. The emergency charging cloud box includes: The dual-active disaster recovery unit stores the latest list data and billing module version; The link switching unit enables the 4GAPN channel to transmit emergency data during network interruption.

[0016] The present invention has the following advantages: 1. This intelligent management platform for highway toll stations, based on multi-source data fusion, forms a digital closed loop of "evidence collection, verification, processing, and archiving" through the collaboration between the green channel management module scanning QR codes to generate electronic inspection forms and the special situation inspection module automatically comparing toll reports to generate recovery work orders. Based on the dual-active disaster recovery mechanism of the emergency toll collection cloud box, it maintains a 99.5% transaction success rate even in extreme environments such as mountainous areas with weak networks. By storing the latest list data and billing module version, it ensures full business support for ETC / MTC lanes in emergency situations. Relying on the elastic scheduling strategy of the cloud resource system, the platform dynamically allocates GPU computing power and distributes block storage, automatically expanding computing resources according to transaction peaks, significantly improving resource utilization during high-traffic periods.

[0017] 2. This intelligent management platform for highway toll stations, based on multi-source data fusion, replaces eight types of paper-based processes with electronic shift handover units and inspection management units. This reduces the average daily manual operation time per station, effectively lowers the error rate in ticket management, and significantly reduces the rate of equipment missed inspections. The data analysis engine integrates axle inspection records, traffic flow data, and waybill information to build a feature analysis model, which greatly improves the accuracy of identifying toll evasion and the efficiency of intercepting oversized trucks.

[0018] 3. This intelligent management platform for highway toll stations, based on multi-source data fusion, uses a mobile intelligent terminal APP to ensure the success rate of evidence collection in areas with weak network coverage through offline OCR recognition and file album encryption. Combined with the key vehicle verification unit, it can retrieve provincial waybill data in real time, realize one-click linkage of inspection, reporting and handling, and effectively reduce data synchronization delay. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the module interaction structure of the present invention; Figure 2 This is a schematic diagram of the data transmission architecture of the present invention; Figure 3 This is a schematic diagram of the overall architecture of the present invention; Figure 4 This is a schematic diagram of the business architecture of the present invention; Figure 5 This is a functional design diagram of the present invention. Detailed Implementation

[0020] The present invention will be further described below with reference to the accompanying drawings, but the scope of protection of the present invention is not limited to the following description.

[0021] like Figures 1 to 5 As shown, a digital management platform for highway toll stations based on multi-source data fusion includes a lane terminal system, a toll cloud platform, and a digital management platform. The lane terminal system includes an ETC lane control unit, an unattended lane unit, and a mobile lane unit, which are used to collect toll transaction data, vehicle axle inspection data, and special situation evidence data. The toll collection cloud platform receives lane data through a standardized data transmission protocol, has a built-in toll transaction support system to perform online billing and status list verification, and integrates an emergency toll collection cloud box to enable network anomaly switching. The digital management platform includes an operations management module, a daily management module, and a data analysis engine, which aggregates multi-source data to realize green channel inspection, work order closure, and passage behavior modeling.

[0022] As an optional technical solution of the present invention, the fee transaction support system includes: The toll collection service unit processes ETC / MTC / self-service lane transaction requests. The billing service unit calls the media billing, provincial online billing, and minimum fee billing modules; The status list service unit verifies vehicle blacklists, green channel reservations, and the status of oversized cargo transportation.

[0023] As an optional technical solution of the present invention, the operation management module includes: The green channel management unit generates electronic inspection forms by scanning QR codes with mobile terminals, which are then verified through the ministerial-level platform. The special investigation unit automatically compares overload control records with traffic flow records and initiates retrieval work orders for abnormal vehicles. The performance management unit scores toll stations and operators based on digital ledgers.

[0024] As an optional technical solution of the present invention, the special investigation unit includes: The intelligent comparison sub-unit analyzes the entrance overload control report and the exit passage flow to mark vehicles without a certificate; The work order flow rotor unit initiates audit work orders to the superior unit and tracks the processing status. The interception and reminder subunit triggers a real-time alarm on the terminal when a vehicle being pursued passes through an ETC lane.

[0025] As an optional technical solution of the present invention, the daily management module includes: The electronic shift handover unit records toll collectors' attendance, equipment status, and special circumstances. Inspection records of the inspection management unit, digital management and charging equipment, computer room facilities and fire-fighting equipment; The ticket management unit registers CPC card and fixed-amount ticket issuance and return information online.

[0026] As an optional technical solution of the present invention, the data analysis engine includes: The overload analysis unit identifies the single / dual drive characteristics of trucks and their re-weighing behavior. The abnormal passage unit detects abnormal modes such as temporary license plates having no entrance or unconventional catch-all procedures. The trajectory tracking unit uses GIS to replay the vehicle's historical route to assist in inspection decision-making.

[0027] As an optional technical solution of the present invention, the lane terminal system further includes: The axle inspection linkage unit matches the truck axle inspection data and weighing results at the entrance lane, and compares the number of axles at the entrance of the exit lane with the OBU / CPC card. The remote monitoring unit uses a cloud platform for video-based collaborative handling of emergencies in self-service lanes.

[0028] As an optional technical solution of the present invention, it also includes: The intelligent terminal APP integrates an OCR recognition unit to achieve offline license plate recognition, and a file encryption unit to ensure local data security. The visual monitoring center dynamically renders the status of toll stations, hotspots of special situations, and traffic density on electronic maps.

[0029] As an optional technical solution of the present invention, the intelligent terminal APP includes: The key vehicle verification unit retrieves waybill data from the provincial networked control system in real time. The one-click reporting unit pushes incidents of pedestrians trespassing and motorcycles running through checkpoints to the road administration system.

[0030] The paid cloud platform deploys a cloud resource system, uses elastic load balancing to distribute transaction requests, persists pipeline data through distributed block storage, and dynamically schedules GPU resources to process video analysis tasks according to business peaks. The emergency payment cloud box includes: The dual-active disaster recovery unit stores the latest list data and billing module version; The link switching unit enables the 4GAPN channel to transmit emergency data during network interruption.

[0031] Example 1: An axle inspection anomaly during a truck's passage through the exit ETC lane triggers a recall work order. Technical process: 1. Data Collection: The ETC lane control unit reads OBU card information through dual antennas and simultaneously calls vehicle / axle type detection equipment; The inspection revealed that the actual number of axles (5 axles) did not match the OBU entry information (4 axles), and the vehicle was marked as abnormal.

[0032] 2. Cloud processing: The charging cloud platform receives abnormal data, and the status list service unit verifies that the vehicle has no blacklist record. The special investigation module generates a recovery work order and pushes it to the digital management platform.

[0033] 3. Terminal Response: The interception reminder unit triggered the lane toll display unit to show "Please cooperate with the inspection"; Toll collectors scan license plates using a digital terminal app to retrieve provincial waybill data and verify vehicle information.

[0034] 4. Closed-loop processing: Work order closed-loop unit record cash supplement ¥500, electronic evidence, axle inspection comparison chart, waybill screenshot, encrypted archive; The data analysis engine flagged the vehicle as having "abnormally high risk of axle count" and synchronized the flag to all toll stations across the network.

[0035] Technical effects: Breaking down traditional station-level data silos and establishing a data collaboration mechanism across lanes / cloud / road network; digitizing 8 types of paper processes (CPC card management, equipment inspection, etc.), reducing the average daily manual operation time per station by 4 hours; and achieving zero data leakage incidents and a 90% reduction in repeated toll evasion through encrypted evidence storage and network-wide risk synchronization.

[0036] In summary, the collaboration between the green channel management module's QR code scanning to generate electronic verification forms and the special incident investigation module's automatic comparison of passage reports to generate recovery work orders forms a digital closed loop of "evidence collection, verification, processing, and archiving." Based on the dual-active disaster recovery mechanism of the emergency toll collection cloud box, a 99.5% transaction success rate is maintained even in extreme environments such as mountainous areas with weak networks. By storing the latest list data and billing module version, full business support for ETC / MTC lanes is ensured during emergency situations. Relying on the elastic scheduling strategy of the cloud resource system, dynamic allocation of GPU computing power, and distributed block storage, computing resources are automatically expanded according to transaction peaks, maximizing resource utilization during high-traffic periods. Significant improvements have been made by replacing eight types of paper-based processes with electronic shift handover and inspection management units. This has reduced the average daily manual operation time per station, effectively lowered the error rate in ticket management, and greatly reduced the rate of equipment missed inspections. The data analysis engine integrates axle inspection records, traffic flow data, and waybill information to build a feature analysis model, which greatly improves the accuracy of identifying toll evasion and the efficiency of intercepting overloaded trucks. The mobile digital terminal APP uses offline OCR recognition and encrypted file albums to ensure the success rate of evidence collection in areas with weak network coverage. Combined with the key vehicle verification unit, provincial waybill data can be retrieved in real time, enabling one-click linkage of inspection, reporting, and handling, and effectively reducing data synchronization delays.

[0037] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A highway toll station intelligent management platform based on multi-source data fusion, characterized by: The system comprises a lane terminal system, a toll cloud platform and a digital management platform. The lane terminal system comprises an ETC lane control unit, an unattended lane unit and a mobile lane unit, which are used for collecting toll transaction data, vehicle axle inspection data and special situation evidence data. The toll cloud platform receives lane data through a standardized data transmission protocol, internally executes online charging and state list verification through a toll transaction support system, and realizes network exception switching through an emergency toll cloud box. The digital management platform comprises an operation management module, a daily management module and a data analysis engine, which gather multi-source data to realize green pass verification, work order closed loop and toll behavior modeling.

2. The highway toll station intelligent management platform based on multi-source data fusion according to claim 1, characterized in that: The toll transaction support system comprises: a toll service unit for processing ETC / MTC / self-service lane transaction requests; a charging service unit for calling medium charging, provincial online charging and minimum fee charging modules; a state list service unit for verifying vehicle blacklists, green pass reservations and large transportation states.

3. The highway toll station intelligent management platform based on multi-source data fusion according to claim 1, characterized in that: The operation management module comprises: a green pass management unit for generating electronic inspection sheets through mobile terminal scanning of two-dimensional codes and linking with departmental platform verification; a special situation investigation unit for automatically comparing overload records and toll flow sheets and initiating recovery work orders for abnormal vehicles; an assessment management unit for performance scoring of toll stations and operators based on digitalized account books.

4. The highway toll station intelligent management platform based on multi-source data fusion according to claim 1, characterized in that: The special situation investigation unit comprises: an intelligent comparison subunit for analyzing entry overload reports and exit toll flow sheets and marking vehicles without evidence; a work order transfer subunit for initiating investigation work orders to superiors and tracking processing states; an interception reminder subunit for triggering terminal real-time alarms when recovery vehicles pass ETC lanes.

5. The highway toll station intelligent management platform based on multi-source data fusion according to claim 1, characterized in that: The daily management module comprises: an electronic shift report unit for recording toll staff attendance, equipment states and special situations; a patrol management unit for digitalized management of toll equipment, computer room facilities and fire-fighting equipment inspection records; a ticket management unit for online registration of CPC cards and information on the use and return of quota tickets.

6. The highway toll station intelligent management platform based on multi-source data fusion according to claim 1, characterized in that: The data analysis engine comprises: an overload analysis unit for identifying single and double drive features of trucks and reweighing behaviors; an abnormal toll unit for detecting abnormal modes such as no entry with temporary license plates and unconventional bottom-up; a trajectory tracing unit for replaying vehicle historical paths through GIS to assist investigation decisions.

7. The highway toll station intelligent management platform based on multi-source data fusion according to claim 1, characterized in that: The lane terminal system further comprises: an axle inspection linkage unit for matching truck axle inspection data and weighing results at entry lanes and comparing OBU / CPC card entry axle numbers at exit lanes; a remote monitoring unit for video collaborative disposal of self-service lane special situation events through the cloud platform.

8. The highway toll station intelligent management platform based on multi-source data fusion according to claim 1, characterized in that: Further comprising: a digital terminal APP integrated with an OCR recognition unit for network-free license plate recognition and a file encryption unit for local data security; a visual monitoring center for dynamically rendering the states of toll stations, special situation hotspots and vehicle flow density on an electronic map.

9. The highway toll station intelligent management platform based on multi-source data fusion according to claim 1, characterized in that: The digital terminal APP comprises: a key vehicle verification unit for real-time retrieval of provincial networked joint control system shipment data; a one-key reporting unit for pushing pedestrian intrusion and motorcycle card collision events to road administration systems.

10. The highway toll station intelligent management platform based on multi-source data fusion according to claim 1, characterized in that: The toll cloud platform deploys a cloud resource system, uses elastic load balancing to distribute transaction requests, uses distributed block storage to persist flow data, and dynamically schedules GPU resources to process video analysis tasks according to business peaks; The emergency toll cloud box comprises: Dual-active disaster recovery unit, store the latest list of data and billing module version; Link switching unit, enable 4G APN channel backhaul emergency data when network interruption.

Images