A Distributed Digital Management System and Method for Full-Service Operations of Highway Toll Stations

Abstract

This invention discloses a distributed digital management and control system and method for all business operations of highway toll stations. The system includes multiple business backend service modules deployed on distributed nodes to form atomic business services; a device protocol parsing module based on a device collaboration network uses an automatic protocol identification algorithm to achieve one-time access for multiple types of devices and system-wide compatibility; a digital twin module constructs a three-dimensional virtual model of the toll station across the entire scenario; and a unified data pool module aggregates and stores relevant data. The system achieves distributed automated management and control of the entire business process through collaborative calls between the business backend service modules. This invention, by constructing a device collaboration network and parsing module, can automatically identify and access multiple types of devices, enabling plug-and-play functionality and reducing integration and maintenance complexity. Simultaneously, by breaking down core business operations into atomic services and forming a distributed architecture through standardized API interactions, it eliminates the need for large-scale modifications, improves system business agility, and effectively overcomes the shortcomings of traditional monolithic architectures.

Description

Technical Field

[0001] This invention relates to the field of highway toll station business management technology, and in particular to a distributed digital management and control system and method for all business operations of highway toll stations. Background Technology

[0002] Currently, highway toll stations in my country are rapidly developing towards reduced manpower, unmanned operation, and intelligent management, with the application of intelligent control technologies becoming increasingly widespread. Some toll stations have deployed cloud support platforms and other facilities, leveraging IoT technology to achieve unified equipment access and remote control, improving the level of intelligent toll management. In the monitoring field, high-definition video surveillance and intelligent analysis algorithms are widely used, enabling automatic detection and early warning of abnormal events. In equipment operation and maintenance, the IoT-based transformation of electromechanical equipment enables early fault warning and precise location. However, existing intelligent control systems for highway toll stations have core problems and shortcomings in their architectural design, as detailed below:

[0003] I. Obstacles in equipment collaboration and protocol adaptation, resulting in significant silos. Toll station equipment is diverse, with various communication protocols. The existing system relies on single-point protocol conversion gateways, lacking a unified framework, leading to high interconnection costs and poor scalability. Equipment collaboration uses a centralized scheduling model, resulting in poor real-time performance and reliability. II. Monolithic business architecture, leading to poor system elasticity and reusability. Business functions are mostly tightly coupled monolithic architectures. Adding new services requires extensive code modifications, resulting in long iteration cycles and high costs. Core businesses rely on localized monolithic systems, hindering distributed collaboration across sites. III. Event handling relies on passive response, with low levels of full-process automation and intelligent decision-making. Early warning and handling processes are disconnected, lacking automated closed-loop mechanisms. Complex event handling relies on personal experience; artificial intelligence is not deeply integrated into the handling process, resulting in low efficiency and difficulty in guaranteeing accuracy. IV. Fragmented data presentation, insufficient value mining. Data is mainly presented in video surveillance footage and scattered reports, failing to achieve deep integration and visualization across all businesses. Data is stored in a dispersed manner, preventing effective cross-business correlation analysis. V. Limited system scalability and security vulnerabilities. System expansion requires extensive customized development and lacks a standardized expansion framework; security measures are not deeply integrated with core business operations, lack fine-grained access control and full-process security auditing, and pose risks of unauthorized operations that are difficult to trace.

[0004] For example, invention application number 202210306275.2 discloses a highway tolling device and system based on microservices. This application's solution realizes the division of labor and cooperation among multiple tolling microservices, improving tolling efficiency and facilitating system maintenance and rate table updates. Only the corresponding microservice needs to be upgraded for new or updated data. It realizes differentiated tolling services based on parameter configuration. When new discounts meet existing discount categories, no software modification is required. Adding special discounts only requires modifying one microservice, without affecting the normal operation of the entire tolling system. However, this solution also has the following drawbacks: it only performs microservice decomposition and modification for tolling business, does not cover the full business scenario of highway toll stations, cannot achieve distributed collaborative management and control of the entire toll station business, and does not solve the problems of automated closed-loop handling of the entire process, full business data fusion analysis, and fine-grained system security management.

[0005] In summary, current intelligent management and control systems for highway toll stations have shortcomings in areas such as equipment interconnection, business architecture, incident handling, data fusion, and system scalability, which limit their development towards higher levels of digitalization, automation, and intelligence. Therefore, a new highway toll station system architecture and methodology are needed to address these issues. Summary of the Invention

[0006] To address the aforementioned problems, the present invention aims to provide a distributed digital management and control system and method for all business operations of highway toll stations. This system solves the problems existing in current intelligent management and control systems for highway toll stations in terms of equipment interconnection, business architecture, event handling, data fusion, system scalability, and security management. It enables digital, automated, and intelligent management and control of the entire business process of toll stations, improves management efficiency, accuracy, and security, and promotes toll stations towards a higher level of intelligent management.

[0007] This invention provides a distributed digital management and control system and method for all business operations of highway toll stations.

[0008] First aspect: A distributed digital management and control system for all business operations of highway toll stations, including:

[0009] Multiple business back-end service modules are deployed on distributed nodes to form atomic business services, which are used to execute independent business functions. The business back-end service modules interact through standardized application programming interfaces.

[0010] The device protocol parsing module, based on the device collaborative network, adopts an automatic protocol identification algorithm to enable one-time access for multiple types of devices and full system compatibility.

[0011] The digital twin module communicates and connects with the device protocol parsing module and various business back-end service modules to build a three-dimensional virtual model of the entire toll station scenario, realize dynamic data mapping between each device and the virtual model, and intuitively display the multi-dimensional interaction and linkage between each device and atomic business.

[0012] The unified data pool module is used to aggregate and store multi-dimensional interactive data between various devices and atomic services;

[0013] The system achieves distributed automated management and control of the entire business process, including billing, early warning, and handling, through collaborative calls between various business back-end service modules.

[0014] In one embodiment of the present invention, the device protocol parsing module has a built-in device access template library. When a new device is added, the corresponding template is selected based on the protocol automatic identification algorithm.

[0015] In one embodiment of the present invention, a device collaboration network is constructed between each business back-end service module based on distributed soft bus technology, binding each device to atomic business services, and each device collaboratively triggers atomic business services through business needs.

[0016] In one embodiment of the present invention, the atomized business services include vehicle identification service, vehicle type determination service, cost calculation service, barrier control service, equipment status monitoring service, fault early warning service, remote restart service, event logging service, audit workflow service, twin data synchronization service, intelligent decision-making service, and cross-site collaboration service.

[0017] In one embodiment of the present invention, it further includes:

[0018] The fault early warning service module has pre-set contingency plans for different types of events. When an abnormal event is detected, the corresponding contingency plan is automatically triggered to form a fully automated chain of early warning, handling, recording and review.

[0019] In one embodiment of the present invention, the digital twin module realizes dynamic mapping between each device and the virtual model through the twin data synchronization service, and supports multi-dimensional interaction between each device and each atomic business service.

[0020] In one embodiment of the present invention, the unified data pool module is configured with a cross-business analysis engine, which aggregates multi-source data on billing, early warning and disposal through the unified data interface of each atomic business service, performs business application scenario analysis and forms business application optimization decisions.

[0021] The second aspect: A distributed digital management and control method for all business operations of highway toll stations, including:

[0022] S1. Deploy multiple business back-end services on distributed nodes. Each business back-end service interacts through a standardized application programming interface to provide atomic business services.

[0023] S2. A device collaboration network is built based on distributed soft bus technology, and an automatic protocol identification algorithm is used to automatically connect multiple types of devices.

[0024] S3. Bind each device to an atomized business service, and the device interacts and links with the atomized business service in multiple dimensions according to business needs;

[0025] S4. Construct a three-dimensional virtual model of the entire toll station scenario, map the dynamic data of each device to the virtual model, and intuitively display the multi-dimensional interaction and linkage between each device and atomic business.

[0026] S5, based on a unified data pool, aggregates and stores multi-dimensional interactive data between various devices and atomic business processes, enabling distributed automated management and control of the entire business process, including billing, early warning, and handling.

[0027] Third aspect: An electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, performs the steps of the method provided in the second aspect.

[0028] Fourth aspect: A non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method provided in the second aspect.

[0029] The beneficial effects of this invention are:

[0030] 1. This invention effectively solves the problems of heterogeneous device protocols, high interconnection costs, and low collaboration efficiency in traditional toll station systems by constructing a device collaboration network based on a distributed soft bus and a device protocol parsing module with a built-in automatic protocol identification algorithm. The system can automatically identify and connect to multiple types of devices, achieving plug-and-play functionality and greatly reducing the complexity of device integration and maintenance. Simultaneously, core business functions are decomposed into highly autonomous atomic services, which interact through standardized APIs, forming a loosely coupled, highly cohesive distributed architecture. This design allows for rapid integration of new business functions simply by developing and registering new atomic services, without requiring large-scale modifications to the existing system. This significantly improves the system's business agility, elastic scalability, and service reuse level, overcoming the shortcomings of traditional monolithic architectures such as long iteration cycles and poor scalability.

[0031] 2. This invention achieves automated management and control of the entire business process, from vehicle identification and toll collection to anomaly handling, through collaborative invocation and event-driven mechanisms among various atomic business services. The fault early warning service module is pre-configured with contingency plans for various events, automatically detecting anomalies and triggering corresponding handling, recording, and review processes, forming an automated closed-loop link of early warning-handling-recording-review. This reduces manual intervention and lowers the risk of response delays and operational errors. Furthermore, the cross-business analysis engine configured in the unified data pool module can perform correlation analysis on aggregated multi-source data, mining data value and providing data-driven intelligent decision support for resource allocation and process optimization. This elevates the management model from passive response to proactive early warning and intelligent decision-making, significantly improving the efficiency and accuracy of toll station operations.

[0032] 3. This invention innovatively integrates a digital twin module and a unified data pool module to construct a high-precision 3D virtual model of the toll station's physical entity, and achieves dynamic real-time mapping between equipment data, business data, and the virtual model. This enables maintenance personnel to intuitively and comprehensively monitor the status of various equipment and business interactions within the toll station, supporting multi-dimensional visualization and interactive operations from macro-level overview to micro-level details. It even allows for reverse control of physical equipment through the virtual model, greatly improving the intuitiveness and convenience of maintenance. The unified data pool, as the core data foundation, aggregates multi-source heterogeneous data from across the station, providing high-quality and consistent data support for twin mapping, business analysis, and decision optimization. It breaks down data silos, fully releasing data value and laying a solid foundation for achieving deep digitalization and intelligent management and control. Attached Figure Description

[0033] Figure 1 This is a schematic diagram of the system structure of the present invention;

[0034] Figure 2 This is a schematic flowchart of the method of the present invention;

[0035] Figure 3 This is a schematic diagram of the structure of the electronic device of the present invention. Detailed Implementation

[0036] Embodiments of the present invention are described in detail below. Examples of these embodiments are illustrated in the accompanying drawings, wherein the same or similar symbols denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0037] Existing highway toll collection and control systems suffer from several problems. At the equipment level, heterogeneous protocols and reliance on single-point gateways lead to isolated devices, and the centralized scheduling model hinders collaborative efficiency and reliability. At the business level, the tightly coupled monolithic architecture lacks flexibility, requiring extensive code modifications for new business applications and preventing cross-site collaboration. At the operational level, incident handling relies on passive manual responses, resulting in a disconnect between early warning and response, and a lack of intelligent decision-driven automated closed-loop systems. At the data level, information is fragmented, lacking deep integration and visual correlation analysis, thus failing to fully realize the value of data. At the system level, expansion relies on custom development, lacking a standard framework; security control is coarse-grained and disconnected from business processes, posing operational risks and difficulties in auditing and tracing.

[0038] To address the aforementioned problems, this invention provides a distributed digital management and control system and method for all business operations of highway toll stations. To make the objectives, technical solutions, and advantages of this disclosure clearer, the following detailed description is provided in conjunction with specific embodiments.

[0039] Example 1:

[0040] This embodiment discloses a distributed digital management and control system for all services at highway toll stations, such as... Figure 1 As shown, it includes multiple business back-end service modules, device protocol parsing module, digital twin module, and unified data pool module, etc.

[0041] Each business back-end service module is deployed on a distributed node, providing atomic business services. Each business back-end service module executes independent business functions and interacts with each other through a standardized application programming interface.

[0042] Preferably, the atomized business services include vehicle identification service, vehicle type determination service, cost calculation service, barrier control service, equipment status monitoring service, fault early warning service, remote restart service, event logging service, audit workflow service, twin data synchronization service, intelligent decision-making service, and cross-site collaboration service.

[0043] The atomized business services cover highway toll collection scenarios such as vehicle toll calculation, ETC transaction processing, manual lane toll management, vehicle auditing, and equipment status monitoring. Each business service is highly autonomous and can independently complete version iterations, resource expansion, or fault degradation without affecting the operation of other business services.

[0044] Each atomic business service achieves loosely coupled calls between services through standardized API interfaces. For example, when it is necessary to add business functions such as green channel vehicle verification or special vehicle access permission management, it is only necessary to develop the corresponding atomic business service and register it to the system business service registry center. It can then be quickly integrated into the existing architecture without modifying the existing business modules, which greatly improves the flexibility and efficiency of business expansion.

[0045] The interaction between the atomic business services adopts a unified message format and transmission protocol to ensure the consistency and reliability of data exchange, and support the seamless development of cross-station collaborative business. For example, it enables scenarios such as sharing of vehicle passage records across toll stations and joint auditing of multiple stations, effectively breaking down the technical barriers to cross-station collaboration under the traditional monolithic architecture.

[0046] The device protocol parsing module is based on the device collaborative network and uses an automatic protocol identification algorithm to enable one-time access for multiple types of devices and full system compatibility.

[0047] Preferably, a device collaboration network is built between each business back-end service module based on distributed soft bus technology. The distributed soft bus adopts a real-time data transmission mechanism to ensure low-latency synchronization of lane equipment status information and toll transaction data. For example, in the scenario of fast vehicle passage, key information such as license plate recognition results and weighing data can be transmitted to each business back-end service module within milliseconds to ensure the efficiency and smoothness of the toll collection process.

[0048] The device collaborative network has strong fault tolerance and self-healing capabilities. When a device node in a certain area fails, the system will automatically migrate its load to a neighboring node to avoid business interruption caused by a single point of failure and significantly improve the overall reliability of the toll station equipment cluster.

[0049] Furthermore, by binding each device to atomic business services through a device collaboration network, device collaboration is triggered by business needs, eliminating the need for a central node to forward data and allowing direct response to business commands and execution of corresponding operations. For example, when a license plate recognition camera identifies vehicle information, it can directly send a gate-raising command to the barrier gate device, while simultaneously pushing data such as vehicle type and toll fees to the toll terminal, achieving real-time linkage between devices. This decentralized business collaboration model reduces the communication bottlenecks and latency caused by traditional central node forwarding, improving the real-time performance and response speed of business processing. The binding relationship between each device and the atomic business services can be flexibly configured according to actual business scenarios, supporting the dynamic combination and expansion of business services. When adding ETC contactless payment services, simply binding the ETC card reader device to the contactless payment atomic service is sufficient to quickly launch the service function without large-scale adjustments to the existing device collaboration logic, greatly enhancing the system's business adaptability and scalability.

[0050] Furthermore, the device protocol parsing module also has a built-in device access template library. When a new device is added, the corresponding template is selected based on the protocol automatic identification algorithm.

[0051] By utilizing a pre-built device access template library and leveraging the dynamic discovery and resource scheduling capabilities of the distributed soft bus, along with an automatic protocol identification algorithm, when adding or replacing toll station equipment, the system can automatically complete device access authentication, driver adaptation, and function registration by selecting the corresponding template. This allows the equipment to be incorporated into the global management and control system without manual intervention, significantly reducing the complexity of equipment operation and maintenance and improving the efficiency of equipment deployment.

[0052] The template library covers various toll station equipment models and their communication protocol parameters, including mainstream barrier gates, license plate recognition devices, ETC card readers, fee displays, and ticket printers. It supports the parsing and conversion of various standard and non-standard protocols, ensuring that equipment from different manufacturers and models can be seamlessly integrated into the system.

[0053] Furthermore, the template library has a dynamic update mechanism. The system can collect protocol feature data of new devices through edge nodes, combine it with big data in the cloud to generate and optimize templates, and synchronize them to the template library of each toll station node to continuously expand the compatibility of device access.

[0054] By utilizing the template library, the device collaboration network, through the dynamic discovery and resource scheduling capabilities of the distributed soft bus, can achieve interconnection and unified management of hardware devices such as toll terminals, barrier gates, and license plate recognition cameras of different brands and models.

[0055] The digital twin module communicates and connects with the device protocol parsing module and various business back-end service modules to build a three-dimensional virtual model of the entire toll station scenario, realize dynamic data mapping between each device and the virtual model, and intuitively display the multi-dimensional interaction and linkage between each device and atomic business.

[0056] A 3D twin model of the toll station is constructed, and physical entities such as toll lanes, booths, plazas, and green facilities are modeled in scale to restore the spatial relationships and appearance details of each device. Real-time operating parameters such as transaction data from toll terminals, the opening and closing status of gates, images captured by license plate recognition cameras, and sensing signals from ETC card readers, as well as atomic business data such as traffic flow statistics and lane congestion indices, are dynamically mapped to the corresponding virtual device objects in the 3D twin model through a data interface.

[0057] Users can view the real-time operating status of the toll station from any perspective through interactive operations such as mouse dragging and zooming. For example, clicking on the virtual gate model of a certain toll lane can immediately retrieve detailed information such as the recent opening and closing records, fault alarm history, and current motor temperature of that gate. Through the timeline backtracking function, key scenarios such as vehicle passage trajectories and equipment operation procedures within a specific time period can also be reproduced, providing managers with an intuitive and comprehensive means of perceiving the operational status of the toll station.

[0058] Furthermore, the digital twin module achieves dynamic mapping between each device and the virtual model through the twin data synchronization service, supports multi-dimensional interaction between each device and each atomic business service, captures the changes in the operating status of physical devices in real time, and drives the virtual model to accurately reproduce them. For example, when the vehicle detector in a certain lane triggers a vehicle entry signal, the twin data synchronization service can transmit the signal to the digital twin module, so that a virtual vehicle model consistent with the actual vehicle characteristics (vehicle type, license plate, and speed) is immediately generated in the virtual lane and its driving trajectory is simulated.

[0059] The digital twin module also supports two-way interaction between the device side and the business service side. The device side can actively report operating parameters to the twin data synchronization service through standard protocols, while the business service side can issue control commands based on the visual interaction of the virtual model. For example, after the manager clicks the button to open the backup lane in the virtual model, the command will be parsed by the twin data synchronization service and will automatically trigger a series of linked operations such as the gate of the corresponding physical lane being raised, the toll terminal being turned on, and the indicator lights being switched, so as to realize the efficient control of the physical world by the virtual space.

[0060] In addition, the multi-dimensional interactive service also supports multi-dimensional data fusion and interaction, which can associate and map the parameters, performance indicators and business data of the same device. When the operation and maintenance personnel select the virtual model, the system can synchronously display the transaction information and other comprehensive information of the corresponding terminal through the multi-dimensional data dashboard, providing multi-perspective data support for the digital management and control of the entire business.

[0061] The unified data pool module is used to aggregate and store multi-dimensional interactive data between various devices and atomic business processes.

[0062] The unified data pool module achieves efficient integration of cross-regional and cross-level data through a distributed architecture. It can access real-time operating data from various hardware devices such as lane controllers, toll terminals, license plate recognition equipment, barrier gate systems, and traffic flow detectors within toll stations, as well as atomic business data such as toll transaction records, vehicle passage information, personnel operation logs, and equipment maintenance work orders.

[0063] The unified data pool module adopts a hybrid storage model that combines time-series databases, relational databases, and non-relational databases. It performs differentiated storage management based on the characteristics of different types of data. For example, time-series data such as license plates, times, and vehicle types of vehicles passing through lanes, which are generated frequently, is written efficiently and queried quickly using a time-series database. For structured business data such as toll standards and user account information, relational databases are used to ensure data consistency and transaction integrity. For unstructured data such as equipment failure images and surveillance video clips, non-relational databases are used to achieve large-capacity, high-concurrency storage and access.

[0064] The unified data pool module has a built-in data cleaning and standardization mechanism that can perform format verification, outlier removal, duplicate data deduplication, and unified encoding conversion on the aggregated data. This ensures the accuracy, integrity, and standardization of the data, providing a high-quality and highly available unified data support foundation for the virtual modeling of the digital twin module, data display of multi-dimensional interactive services, and data analysis of upper-layer business applications.

[0065] This system, based on the overall coordination of multiple business back-end service modules, equipment protocol parsing module, digital twin module and unified data pool module, realizes digital and intelligent management and control of the entire business process of highway toll stations.

[0066] The business back-end service modules cover business areas such as toll management, lane control, monitoring and dispatching, equipment operation and maintenance, and financial management. Adopting an atomic business service model, each business process is broken down into independent service units. Each service unit focuses on the implementation and encapsulation of specific business functions. Services communicate and collaborate through standardized interfaces, ensuring both the clarity and independence of business logic while flexibly responding to business combination needs in different scenarios. The various business back-end service modules achieve data interaction and business collaboration through standardized interfaces, ensuring fully automated processing of the toll collection process from vehicle entry, identification, billing to release.

[0067] The device protocol parsing module is responsible for connecting with various heterogeneous devices in the toll station, such as gate barriers, card readers, license plate recognition devices, weighing equipment, and toll terminals. Through the built-in multi-protocol parsing engine, it converts the private protocol data of different manufacturers and models of devices into standard data in a unified format, enabling real-time perception and centralized control of the status of the underlying devices, and ensuring stable operation of the devices and business continuity.

[0068] The digital twin module relies on high-quality data support from a unified data pool to construct a high-precision virtual mapping model of the toll station's physical space and business processes. Through 3D visualization technology, it presents key information such as lane traffic conditions, equipment operating parameters, and personnel on-duty status in real time. It also supports multi-dimensional data fusion analysis and dynamic simulation, providing managers with intuitive and comprehensive means of monitoring station-level operational status, thus assisting them in making accurate decisions and efficient scheduling.

[0069] Example 2:

[0070] Based on Example 1, this embodiment discloses a distributed digital management and control system for all business operations of highway toll stations, and optimizes the functions of the digital twin module.

[0071] Preferably, the unified data pool module is configured with a cross-business analysis engine. The unified data pool module aggregates multi-source data on billing, early warning and disposal through the unified data interface of each atomic business service, and performs business application scenario analysis based on the cross-business analysis engine to form business application optimization decisions.

[0072] The cross-business analysis engine possesses capabilities for time-series data correlation analysis, multi-dimensional indicator aggregation calculation, and anomaly pattern recognition. It can deeply mine traffic flow patterns and toll evasion characteristics in toll data, risk evolution trends in early warning data, and potential value such as resource allocation efficiency in handling data. For example, by analyzing the correlation between historical toll data and real-time traffic flow data, it can predict lane congestion risks during peak hours in advance and automatically generate lane opening suggestions. By combining data such as the handling time and resource consumption of early warning events, it can optimize emergency response resource allocation plans, improve the efficiency of handling abnormal events, and thus promote the intelligent transformation of toll stations from passive management to proactive service.

[0073] Furthermore, the unified data pool module will feed back optimization decisions to each atomic business service unit, enabling dynamic adjustment and closed-loop optimization of business processes. Throughout the process, the adjustment actions of each atomic business service unit and the adjusted business data will flow back to the unified data pool module in real time, forming a complete closed loop of data collection, analysis and decision-making, execution feedback and data re-collection.

[0074] This dynamic adjustment mechanism not only enables rapid response to unexpected issues in current operations, but also allows for continuous optimization of the cross-business analysis engine's decision-making model based on continuously accumulated closed-loop data. This makes the system's adjustments to business processes more precise and efficient, and continuously improves the level of digital management and control of all business operations at highway toll stations.

[0075] Example 3:

[0076] Based on Example 1, this embodiment discloses a distributed digital management and control system for all business operations of highway toll stations, further optimizing the system structure.

[0077] Preferably, the system also includes a fault early warning service module, which has pre-set handling plans for different types of events. When an abnormal event is detected, the corresponding plan is automatically triggered to form a fully automated chain of early warning, handling, recording and review.

[0078] The abnormal event types cover various emergencies that may occur in the daily operation of toll stations, such as equipment failure, lane congestion, toll collection anomalies, and network interruptions. During the execution of the contingency plan, the system will automatically allocate corresponding handling resources according to the event level. For example, when a hardware failure is detected in a toll collection device in a lane, a work order containing the faulty device number, fault type, historical maintenance records, and recommended maintenance steps will be immediately pushed to the maintenance personnel's terminal, and the fault alarm and handling progress will be displayed simultaneously on the toll station management platform.

[0079] If a traffic accident causes lane congestion, the system will automatically activate the traffic management plan, issue detour instructions through the information board, coordinate with adjacent toll stations to adjust their entrance release strategies, and notify on-site personnel to handle the situation.

[0080] After an incident is handled, the system automatically generates a standardized handling report, which records key information such as the time of the incident, triggering conditions, handling measures, resource consumption, and handling results. The report is then pushed to the review node, where managers conduct online reviews of the compliance and effectiveness of the handling process. Once the review is approved, the relevant data is archived in the system's knowledge base, providing data support for optimizing contingency plans for similar incidents in the future.

[0081] The fault early warning service module effectively shortens the response time for abnormal events, reduces the rate of human error, and improves the standardization of emergency response at toll stations by solidifying manual handling experience into standardized contingency plans and procedures, combined with automated execution and closed-loop management.

[0082] Example 4:

[0083] Based on the system of Embodiments 1, 2, or 3, this embodiment discloses a distributed digital management and control method for all services of highway toll stations, such as... Figure 2 As shown, the steps include:

[0084] S1. Deploy multiple business back-end services on distributed nodes. Each business back-end service interacts through a standardized application programming interface to provide atomic business services.

[0085] The entire business process of highway toll stations is deconstructed, and functions are broken down into a series of highly autonomous, single-function atomic business services according to business units.

[0086] Atomized business services include: Vehicle Recognition Service, which processes vehicle information collected by equipment such as license plate recognition cameras; Vehicle Type Determination Service, which automatically identifies vehicle types based on image or sensor data; Toll Calculation Service, which calculates tolls based on parameters such as vehicle type and mileage; Barrier Control Service, which sends raising or lowering commands to barrier gate equipment; Equipment Status Monitoring Service, which collects and monitors the operating parameters of various electromechanical equipment in real time; Fault Early Warning Service, which predicts faults and provides early warnings based on equipment status data; Remote Restart Service, which performs remote restart operations on equipment experiencing software failures; Event Logging Service, which automatically records various business operations and system events; Audit Flow Service, which performs process-based audits of key operations; Twin Data Synchronization Service, which is responsible for synchronizing data between the physical world and the digital twin model; Intelligent Decision-Making Service, which provides suggested solutions for complex events based on historical data; and Cross-Station Collaboration Service, which enables the sharing and coordinated handling of business data between different toll stations.

[0087] The separated atomic business services are distributed and deployed to different types of nodes according to business characteristics, real-time requirements and resource needs, forming a collaborative computing network.

[0088] To achieve loosely coupled communication between atomic business services, all atomic business services interact through predefined standardized application programming interfaces (APIs). Each service's API explicitly defines the request format, response structure, data protocol, and authentication / authorization mechanism. After starting, all atomic business service instances register their network addresses and metadata with a unified service registry. For example, when the vehicle recognition service needs to call the fee calculation service, it can dynamically discover available service instance addresses by querying the registry, thereby enabling reliable inter-service calls.

[0089] S2. A device collaboration network is built based on distributed soft bus technology, and an automatic protocol identification algorithm is adopted to automatically connect multiple types of devices.

[0090] Build a device collaboration network infrastructure, and construct a decentralized device collaboration network based on distributed soft bus technology.

[0091] The device-coordinated network possesses a real-time data transmission mechanism, ensuring that critical business data such as lane equipment status information and toll transaction data are transmitted within milliseconds, guaranteeing the smooth operation of highly real-time services such as rapid vehicle passage. The network also features dynamic discovery and resource scheduling capabilities; nodes can automatically discover newly added devices or services and intelligently allocate communication resources. Furthermore, the network exhibits fault tolerance and self-healing capabilities. When a node in the network fails, the system can automatically migrate its load to a nearby healthy node, avoiding service interruptions caused by single-point failures and significantly improving the overall reliability of the device cluster.

[0092] Based on the established collaborative network, a device protocol parsing module is deployed. This module is the core of enabling plug-and-play functionality for devices. It integrates a multi-protocol parsing engine, pre-integrating parsing capabilities for various common toll station device communication protocols. When a new device attempts to connect to the network, an automatic protocol identification algorithm is activated. This algorithm automatically analyzes and matches the data packets sent by the device, quickly identifying the communication protocol used by the device.

[0093] Furthermore, by calling the device access template library and identifying the protocol, the system will automatically select the corresponding device configuration template from the built-in device access template library. This template library covers the models, parameters, and protocol details of mainstream devices such as barrier gates, license plate recognition devices, ETC card readers, and toll display devices, which greatly simplifies the access configuration.

[0094] The system uses the selected template to automatically load the device's driver, configure its parameters, and register its functions in the collaborative network. Upon successful registration, the device is formally integrated into the system's global management framework. The data it generates can be transmitted in real-time to the necessary business services via a distributed soft bus, and the device itself can also receive instructions from these business services.

[0095] After the devices are connected, their collaboration mode undergoes a fundamental transformation, shifting from centralized scheduling to business-triggered operations. Within the system, physical devices are logically bound to corresponding atomic business services. Based on direct linkage driven by business needs, when a license plate recognition camera captures vehicle information, the resulting event signal directly triggers the vehicle recognition service via a distributed soft bus. After processing, this service's output directly triggers the fee calculation service, and finally, the barrier control service issues instructions directly to the barrier gate based on the calculation results. Throughout this process, device collaboration is driven by business needs, with data flowing directly between relevant services without the need for central node forwarding, significantly reducing latency and improving real-time performance.

[0096] S3. Bind each device to an atomized business service, and the device interacts and links with the atomized business service in multiple dimensions according to business needs.

[0097] The system establishes a logical mapping relationship between physical devices and atomic business services. Within the management platform, specific physical devices are associated with their corresponding atomic business service instances through a graphical interface or configuration files. For example, a barrier gate device can be bound to a barrier control service, and an ETC antenna can be bound to an ETC transaction processing service.

[0098] The system maintains a unified registry of binding relationships, recording metadata such as each device ID, corresponding service ID, binding time, and binding policy. This binding relationship is dynamically adjustable and can be flexibly reconfigured according to business changes. Once the binding relationship is established, the collaboration mode between devices changes from traditional centralized scheduling to efficient business triggering.

[0099] When a device experiences a state change or a business event, a standardized event signal is immediately generated. This signal is published through a collaborative network built using distributed soft bus technology, rather than being reported to a central server. Related atomic business services that have subscribed to this type of event receive the signal in real time and trigger their own business logic execution. After the service completes its processing, a new event may be generated, which may then trigger the startup of downstream services.

[0100] Driven by business needs, devices and services can engage in complex and precise multi-dimensional interactions and linkages, executing multi-dimensional interactions and linkage controls.

[0101] Taking vehicle passage as an example: Trigger: The license plate recognition camera detects a vehicle, generating a vehicle arrival event. The vehicle recognition service consumes the event, executes the recognition logic, and publishes a license plate information recognition event. The fee calculation service consumes the event, calculates the toll, and publishes a fee calculation complete event. The barrier control service consumes the event and sends a gate-raising command to the bound barrier. The event logging service synchronously records key node information of the entire process.

[0102] The mechanism supports complex business expansion. For example, when it is necessary to add green channel vehicle verification, only a green channel verification service needs to be developed and subscribed to the license plate information recognition event. After verification is successful, the service can publish the green channel verification successful event, and the fee calculation service can subscribe to this event to perform free or discounted calculations. The entire process does not require modification of the existing core service code.

[0103] Through the above steps, the system realizes decentralized, efficient and reliable multi-dimensional interactive linkage between devices and business services based on business needs, providing key support for the automation and intelligence of business processes.

[0104] S4. Construct a three-dimensional virtual model of the entire toll station scenario, map the dynamic data of each device to the virtual model, and intuitively display the multi-dimensional interaction and linkage between each device and atomic business.

[0105] A 3D virtual model corresponding to the physical toll station is constructed, and precise 3D geometric modeling is performed on all physical entities within the toll station, such as toll lanes, booths, plazas, electromechanical equipment, and green facilities, to recreate their spatial location, appearance, and material texture. The model is hierarchically organized according to the logic of the physical world, facilitating accurate positioning and interaction.

[0106] A dynamic data mapping channel is established to enable real-time, bidirectional data flow between physical entities and virtual models. Through twin data synchronization services, data interface connections are established with the device protocol parsing module, various atomic business services, and the unified data pool module. Real-time operating parameters of the physical devices and the processing status of atomic business processes are continuously injected into the corresponding virtual objects in the 3D virtual model.

[0107] The virtual model is driven by the received real-time data to change its state. For example, when the physical barrier gate is raised, the barrier gate in the virtual model will also make a raising animation in sync; after the vehicle recognition service processes a vehicle, a virtual vehicle model with the license plate number will be generated on the virtual lane and its driving will be simulated.

[0108] The system enables multi-dimensional interaction and visualization, providing users with an intuitive and immersive monitoring and operation interface. Maintenance personnel can rotate, scale, and translate the 3D twin model at any angle via the terminal, gaining a comprehensive understanding of the toll station's real-time operational status from the macroscopic overall picture to microscopic details. It supports interactive operations between users and the virtual model. Clicking on the virtual barrier model immediately brings up a panel displaying detailed operating parameters such as real-time current, opening and closing counts, and recent fault records. Clicking on the virtual lane allows users to view the lane's real-time vehicle list, average passage time, and other business data.

[0109] The system can visualize the call relationships and data flow between atomic business services in a 3D model. Digital twins are not only for viewing but also for control, enabling virtual space to manipulate the physical world. Operations personnel can perform operations within the 3D model, such as clicking the "Activate Alternate Lane" button on the virtual model. This operation command is captured and parsed by the twin data synchronization service, transforming it into a standard business command. The command is then transmitted to the corresponding atomic business service via the system bus. After executing its logic, the service sends control signals to the corresponding physical device through the device protocol parsing module, ultimately completing the operation in the physical world.

[0110] Through the above steps, the system constructs a digital twin system that integrates visualization, interactivity, and controllability, greatly improving the intuitiveness, convenience, and intelligence of toll station operation and management.

[0111] S5, based on a unified data pool, aggregates and stores multi-dimensional interactive data between various devices and atomic business processes, enabling distributed automated management and control of the entire business process, including billing, early warning, and handling.

[0112] A unified data pool module is established as the data core of the system, comprehensively aggregating data from various dimensions. Through standardized data interfaces of various atomic business services, it continuously collects and aggregates full-business, multi-modal data such as billing transaction data, real-time equipment status data, monitoring video metadata, event handling records, and personnel operation logs.

[0113] A hybrid storage model combining time-series, relational, and non-relational databases is employed to efficiently store different types of data. For example, time-series data such as vehicle traffic flow is read and written at high speed using a time-series database; structured data such as toll standards are stored using a relational database to ensure consistency; and unstructured data such as images and video clips are stored using a non-relational database. A built-in data cleaning mechanism performs format validation, outlier removal, deduplication, and unified encoding conversion on the aggregated raw data to ensure the accuracy, integrity, and standardization of the data entering the pool, providing high-quality data support for upper-layer applications.

[0114] Based on high-quality data in a unified data pool, the system drives the automated closed-loop operation of the three core business functions: charging, early warning, and handling.

[0115] The license plate data generated by the vehicle recognition service, the results of the vehicle model determination service, and the billing rules of the fee calculation service are all obtained from or written to a unified data pool. These services are distributed across different nodes and work together through an event-driven mechanism to automatically complete the entire process from vehicle recognition to fee calculation, transaction recording, and barrier opening, without manual intervention. The fault warning service uses algorithmic models to monitor the status and predict faults based on historical and real-time data of equipment operating parameters in the data pool. Once an abnormal threshold is detected or a fault risk is predicted, a warning event is automatically generated and published through the system event bus.

[0116] Warning events trigger the automated execution of the handling process, forming a closed loop for continuous optimization. After a warning event occurs, the system automatically matches and triggers a preset handling plan based on the event-plan mapping library. The plan executes specific operations by calling a series of atomic business services, such as automatically attempting to remotely restart the faulty equipment, generating a handling work order and dispatching it to maintenance personnel, and recording the entire handling process. After the handling is completed, the event recording service automatically generates a standard report containing event details, handling steps, and results, which is then pushed to management personnel for review via the review workflow service. After approval, the report and related data are archived to the knowledge base of a unified data pool, forming a historical case accumulation.

[0117] Furthermore, the unified data pool module supports cross-business analysis and decision optimization, and the value of the unified data pool is ultimately reflected through in-depth analysis and decision support.

[0118] Cross-business correlation analysis, with a unified data pool module configuration, enables cross-business analysis engines to perform correlation mining on aggregated multi-source data. Based on the analysis results, the engine can output data-driven optimization suggestions. These suggestions can be fed back to the management system or relevant personnel to optimize resource allocation, improve business process efficiency, and ultimately achieve a spiral improvement in system control capabilities.

[0119] Through the above steps, the system, based on a unified data pool, achieves seamless integration of data aggregation, automated business execution, intelligent handling loop, and decision optimization, truly realizing the goal of full digitalization and intelligent management of highway toll stations.

[0120] The present invention also provides an electronic device, Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention, such as... Figure 3 As shown, the electronic device may include a processor, a communications interface, memory, and a communication bus, wherein the processor, communications interface, and memory communicate with each other via the communication bus. The processor can invoke logical instructions from the memory, for example, to execute the following method:

[0121] S1. Deploy multiple business back-end services on distributed nodes. Each business back-end service interacts through a standardized application programming interface to provide atomic business services.

[0122] S2. A device collaboration network is built based on distributed soft bus technology, and an automatic protocol identification algorithm is used to automatically connect multiple types of devices.

[0123] S3. Bind each device to an atomized business service, and the device interacts and links with the atomized business service in multiple dimensions according to business needs;

[0124] S4. Construct a three-dimensional virtual model of the entire toll station scenario, map the dynamic data of each device to the virtual model, and intuitively display the multi-dimensional interaction and linkage between each device and atomic business.

[0125] S5, based on a unified data pool, aggregates and stores multi-dimensional interactive data between various devices and atomic business processes, enabling distributed automated management and control of the entire business process, including billing, early warning, and handling.

[0126] Furthermore, the logical instructions in the aforementioned memory can be implemented as software functional units and sold or used as independent products, and can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0127] This invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, is implemented to perform the methods provided in the above embodiments, including, for example:

[0128] S1. Deploy multiple business back-end services on distributed nodes. Each business back-end service interacts through a standardized application programming interface to provide atomic business services.

[0129] S2. A device collaboration network is built based on distributed soft bus technology, and an automatic protocol identification algorithm is used to automatically connect multiple types of devices.

[0130] S3. Bind each device to an atomized business service, and the device interacts and links with the atomized business service in multiple dimensions according to business needs;

[0131] S4. Construct a three-dimensional virtual model of the entire toll station scenario, map the dynamic data of each device to the virtual model, and intuitively display the multi-dimensional interaction and linkage between each device and atomic business.

[0132] S5, based on a unified data pool, aggregates and stores multi-dimensional interactive data between various devices and atomic business processes, enabling distributed automated management and control of the entire business process, including billing, early warning, and handling.

[0133] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0134] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0135] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A distributed digital management and control system for all business operations of highway toll stations, characterized in that, include: Multiple business back-end service modules are deployed on distributed nodes to form atomic business services, which are used to execute independent business functions. The business back-end service modules interact through standardized application programming interfaces. The device protocol parsing module, based on the device collaborative network, adopts an automatic protocol identification algorithm to enable one-time access for multiple types of devices and full system compatibility. The digital twin module communicates and connects with the device protocol parsing module and various business back-end service modules to build a three-dimensional virtual model of the entire toll station scenario, realize dynamic data mapping between each device and the virtual model, and intuitively display the multi-dimensional interaction and linkage between each device and atomic business. The unified data pool module is used to aggregate and store multi-dimensional interactive data between various devices and atomic services; The system achieves distributed automated management and control of the entire business process, including billing, early warning, and handling, through collaborative calls between various business back-end service modules.

2. The system according to claim 1, characterized in that, The device protocol parsing module has a built-in device access template library. When a new device is added, the corresponding template is selected based on the protocol automatic identification algorithm.

3. The system according to claim 1, characterized in that, Between the various business back-end service modules, a device collaboration network is built based on distributed soft bus technology, binding each device to atomic business services. The collaboration of each device triggers atomic business services through business needs.

4. The system according to claim 1, characterized in that, The atomized business services include vehicle identification service, vehicle type determination service, cost calculation service, barrier control service, equipment status monitoring service, fault early warning service, remote restart service, event logging service, audit workflow service, twin data synchronization service, intelligent decision-making service, and cross-site collaboration service.

5. The system according to claim 1, characterized in that, Also includes: The fault early warning service module has pre-set contingency plans for different types of events. When an abnormal event is detected, the corresponding contingency plan is automatically triggered to form a fully automated chain of early warning, handling, recording and review.

6. The system according to claim 1, characterized in that, The digital twin module achieves dynamic mapping between each device and the virtual model through twin data synchronization service, supporting multi-dimensional interaction between each device and each atomic business service.

7. The system according to claim 1, characterized in that, The unified data pool module is configured with a cross-business analysis engine. Through the unified data interface of each atomic business service, it aggregates multi-source data on billing, early warning, and handling to conduct business application scenario analysis and form business application optimization decisions.

8. The system according to any one of claims 1 to 7, characterized in that, A method for full-service digital management and control of distributed highway toll stations includes the following steps: S1. Deploy multiple business back-end services on distributed nodes. Each business back-end service interacts through a standardized application programming interface to provide atomic business services. S2. A device collaboration network is built based on distributed soft bus technology, and an automatic protocol identification algorithm is used to automatically connect multiple types of devices. S3. Bind each device to an atomized business service, and the device interacts and links with the atomized business service in multiple dimensions according to business needs; S4. Construct a three-dimensional virtual model of the entire toll station scenario, map the dynamic data of each device to the virtual model, and intuitively display the multi-dimensional interaction and linkage between each device and atomic business. S5, based on a unified data pool, aggregates and stores multi-dimensional interactive data between various devices and atomic business processes, enabling distributed automated management and control of the entire business process, including billing, early warning, and handling.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the method as described in claim 9.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method as described in claim 9.

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