Full-coverage intelligent charging system based on full scene

Abstract

The utility model relates to the field of intelligent toll collection modes, in particular to a full-scene full-coverage intelligent toll collection system, which comprises an ETC (Electronic Toll Collection) ramp pre-transaction module used for carrying out transaction on ETC equipment of a vehicle in advance at a highway ramp; the divided lane multi-stage induction module comprises a divided lane induction sub-module and a multi-stage induction sub-module; the divided lane induction sub-module is used for carrying out targeted induction on vehicles on each lane; the multi-level induction sub-module is used for providing different levels of induction information for a driver; the customized robot is used for optimizing and transforming the traditional toll island together with the intensive intelligent agent equipment to obtain a narrow toll island; the digital twin plaza is used for transferring charging processing related services to the smart cloud cabin by utilizing lane monitoring, video monitoring and emergency talkback; the smart cloud cabin is used for determining the running state of the toll lane; the manpower and management cost is reduced, the lane congestion risk is reduced, and the passing efficiency of vehicles is improved.

Description

Technical Field

[0001] The utility model relates to the field of intelligent charging modes, and in particular to a smart charging system based on full-scenario and full-coverage. Background Art

[0002] Traditional toll collection methods include manual toll collection and semi-automatic toll collection. Manual toll collection is relatively simple to operate and less dependent on technical equipment. In some remote areas or where technical conditions are limited, manual toll collection is a more feasible toll collection method. It can provide a certain degree of personalized service. Toll collectors can communicate with drivers face-to-face, answer questions, and provide route guidance. Semi-automatic toll collection improves toll collection efficiency. Compared with manual toll collection, semi-automatic toll collection reduces toll collector operation time and shortens vehicle dwell time at toll booths. At the same time, automatic card readers can quickly and accurately read toll card information, reducing the risk of human error. It also offers a variety of payment methods. In addition to cash payment, electronic payment is also available, making payment more convenient for drivers.

[0003] Traditional toll collection models present certain challenges, including high construction and maintenance costs, a high demand for toll collectors, high management costs, low traffic efficiency, and long response times for special situations. Whether manual or semi-automatic, toll collection requires vehicles to stop or slow down at toll booths, disrupting the continuity of traffic flow. Especially during peak hours, queues of vehicles waiting at toll booths can lead to widespread traffic congestion, impacting the efficiency of the entire road network. Frequent stopping and starting also increases fuel consumption and exhaust emissions, negatively impacting the environment. With socioeconomic development and increasing traffic volume, the traditional toll collection model's inefficiency, high costs, and significant impact on traffic flow have become increasingly prominent, making it unable to meet the demands of modern transportation. Especially against the backdrop of the rapid development of technologies such as intelligent transportation and electronic payment, traditional toll collection models require reform and innovation to adapt to the new transportation landscape. Summary of the Invention

[0004] The purpose of this utility model is to provide a smart toll collection system based on full-scenario and full-coverage; to solve the technical problems in the traditional toll collection model, such as high construction and operation and maintenance costs, large demand for toll collectors, high management costs, low traffic efficiency, and long time for handling special situations.

[0005] To achieve the above objectives, the present invention provides the following technical solutions: a full-scenario, full-coverage smart toll collection system comprising: an ETC ramp pre-transaction module, a lane-dividing multi-level induction module, a customized robot, a digital twin plaza, and a smart cloud cabin;

[0006] The ETC ramp pre-transaction module is used to trade the vehicle's ETC device in advance at the highway ramp;

[0007] The lane-dividing multi-level guidance module includes a lane-dividing guidance submodule and a multi-level guidance submodule; the lane-dividing guidance submodule is used to provide targeted guidance to vehicles in each lane according to the traffic conditions of different lanes; the multi-level guidance submodule is used to provide different levels of guidance information to the driver at different positions and distances;

[0008] The customized robot is used to optimize and transform the traditional toll island with the intensive intelligent equipment to obtain a narrow toll island;

[0009] The digital twin plaza is used to move toll-related processing to the smart cloud cabin using lane monitoring, video surveillance, and emergency intercom;

[0010] The smart cloud cabin is used to determine the operating status of the toll lane.

[0011] Compared with the prior art, the beneficial effects of the present invention are:

[0012] Featuring hardware and software integration, lightweight construction, and turnkey delivery, it addresses the pain points of traditional toll stations, such as the complexity of toll collection equipment and high maintenance costs, through centralized and IP-based approaches. Its lightweight and narrow island design addresses the difficulties of traditional toll stations, such as the large land acquisition area and high construction costs. Its reduced or unmanned operation addresses the bottlenecks of traditional toll stations, such as the large demand for toll collection personnel and high management costs. This system can transform toll stations from lane-level to station-level, fully implementing the concepts of green, environmentally friendly, and lightweight equipment throughout the entire highway construction, management, maintenance, and operation process, thereby reducing construction and operating costs and improving toll collection and operation efficiency. By leveraging cutting-edge data analysis, cloud computing, and the Internet of Things (IoT), robots and centralized intelligent equipment are used to replace traditional manual and decentralized toll collection equipment, significantly reducing labor and management costs, effectively reducing the risk of lane congestion, optimizing vehicle traffic stability, and greatly improving traffic efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a structural diagram of the utility model's all-scenario, full-coverage smart toll collection system;

[0014] Figure 2 This is a schematic diagram of the lane-dividing multi-level induction module based on the full-scenario and full-coverage smart toll collection system of the utility model. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0016] It should be noted that, in the description of the present invention, the terms "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description. They do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, they cannot be understood as a limitation on the present invention.

[0017] Furthermore, it should be understood that for the sake of ease of description, the sizes of the various components shown in the drawings are not drawn according to actual proportions. For example, the thickness or width of certain layers may be exaggerated relative to other layers.

[0018] It should be noted that like numbers and letters represent similar items in the following figures, so once an item is defined or described in one figure, it will not need to be further discussed and described in detail in the description of the subsequent figures.

[0019] Compared with the traditional charging model, the "cloud charging" model realized through the full-scene and full-coverage smart charging system has the characteristics of less-manned operation, automated charging, efficient special situation handling, improved system stability, and comprehensive improvement in the traffic experience. It realizes the gorgeous transformation from the traditional charging model to the modern traffic service, and provides an efficient, fast and stable innovative template for the management and services of highway toll stations.

[0020] like Figure 1 As shown, the utility model provides a technical solution: a full-scenario and full-coverage smart toll collection system, including: an ETC ramp pre-transaction module, a lane-dividing multi-level induction module, a customized robot, a digital twin square and a smart cloud cabin;

[0021] The ETC ramp pre-transaction module is used to trade the vehicle's ETC device in advance at the highway ramp;

[0022] ETC ramp pre-transaction is a technical means of processing transactions on the vehicle's ETC equipment in advance at the highway ramp.

[0023] The lane-dividing multi-level guidance module includes a lane-dividing guidance submodule and a multi-level guidance submodule; the lane-dividing guidance submodule is used to provide targeted guidance to vehicles in each lane according to the traffic conditions of different lanes; the multi-level guidance submodule is used to provide different levels of guidance information to the driver at different positions and distances;

[0024] Lane-divided multi-level guidance is an advanced traffic management and guidance system. Through real-time traffic information release and guidance, it guides vehicles to rationally choose driving routes and lanes, avoid congested sections, reduce vehicle travel time and delays, and improve road traffic efficiency. It also reduces the waiting time of vehicles in congested sections and reduces the risk of traffic accidents caused by frequent starting, stopping and lane changing of vehicles.

[0025] The customized robot is used to optimize and transform the traditional toll island with the intensive intelligent equipment to obtain a narrow toll island;

[0026] By utilizing cutting-edge data analysis, cloud computing, Internet of Things technology and other technical means, and using robots and intensive intelligent equipment to replace traditional manual and decentralized toll collection equipment, we can significantly reduce labor and management costs, effectively reduce the risk of lane congestion, optimize vehicle traffic stability, and greatly improve traffic efficiency.

[0027] The digital twin plaza is used to move toll-related processing to the smart cloud cabin using lane monitoring, video surveillance, and emergency intercom;

[0028] The digital twin square is a virtual square constructed using digital twin technology. It corresponds to the real square and realizes digital simulation, monitoring and management of the square.

[0029] The smart cloud cabin is used to determine the operating status of the toll lane.

[0030] The system applies a number of new intelligent and digital technologies, such as ETC ramp pre-transaction, lane-dividing multi-level induction, self-developed customized robots, digital twin plazas, and smart cloud cabins. By optimizing the lane layout externally, building pre-island induction facilities, and adopting the "narrow island" toll island, the difficulty of vehicles choosing lanes in the toll plaza is effectively reduced, thereby improving vehicle traffic efficiency. While retaining conventional lane monitoring, video monitoring, and emergency intercom, the processing of toll-related business will be moved to the cloud cabin. Through the technical application of the cloud cabin, it is possible to more intuitively grasp the operating status of the toll lane, including the smooth flow, congestion, number of queued vehicles, and abnormalities and emergencies, and actively connect to the request service for special events. The service is accessible with one click. Through cloud services, one person can supervise multiple lanes, realize precise and intelligent services, and improve the efficiency of handling special events.

[0031] Optionally, the ETC ramp pre-transaction module is used to communicate with the ETC on-board unit on the vehicle when the vehicle equipped with the ETC device enters the ramp; the roadside unit reads the information in the vehicle's ETC device and performs transaction pre-processing; wherein, the information includes the vehicle identity and the balance in the card; the transaction pre-processing includes completing part of the transaction process in advance if the transaction conditions are met, the balance in the card is sufficient, and the device status is normal; when the vehicle continues to drive into the main road, the ETC device on the main road quickly completes the remaining transaction links, or directly confirms the result of the ramp pre-transaction.

[0032] When a vehicle equipped with an ETC device enters a ramp, the dedicated equipment installed on the ramp (such as a roadside unit, etc.) will communicate with the ETC on-board unit on the vehicle; the roadside unit will read the information in the vehicle's ETC device, including vehicle identity, card balance, etc., and perform transaction pre-processing; if the transaction conditions are met, such as sufficient card balance, normal device status, etc., part of the transaction process will be completed in advance; when the vehicle continues to drive into the main road, the ETC device on the main road can quickly complete the remaining transaction links, or directly confirm the results of the ramp pre-transaction, so that the vehicle can pass quickly without stopping.

[0033] Vehicles complete part of the transaction process before entering the main road, reducing the transaction time at the main road toll station, greatly improving the vehicle's travel speed, and alleviating congestion at the toll station; especially in periods and sections with heavy traffic, it can effectively reduce the waiting time of vehicles in queues and improve the travel efficiency of the entire expressway; for ETC users, there is no need to wait for a long time at the main road toll station for the transaction to be completed, and a smoother travel experience can be achieved; it reduces vehicle stagnation and reversing due to transaction failures, and improves driving safety; ramp pre-transactions can screen out vehicles with ETC equipment abnormalities or insufficient card balances in advance, so that these vehicles can be guided in time for processing to avoid congestion at the main road toll station; it helps to improve the accuracy and reliability of toll collection, and reduce the occurrence of toll disputes and erroneous transactions.

[0034] Optionally, the lane-divided multi-level induction module is used to detect traffic information of vehicles passing on the road in real time through various sensors installed on the road, wherein the traffic information includes location information, speed information and flow information, and the various sensors include cameras, radars, and geomagnetic detectors; analyze and process the traffic information and formulate corresponding induction strategies; and send the induction instructions corresponding to the induction strategies to the information release device through the communication network.

[0035] The various sensors mentioned above can cover different lanes and accurately capture traffic conditions in each lane. Information dissemination equipment includes variable message signs (VMS), traffic guidance screens, and in-vehicle navigation terminals. These devices are distributed at various locations along the road, providing drivers with real-time traffic information and guidance instructions. VMS are typically installed above or on the side of the road, displaying traffic conditions and guidance information in text, graphics, and other formats. Traffic guidance screens provide a more intuitive overview of road congestion and recommended routes. In-vehicle navigation terminals communicate with traffic management systems to provide drivers with personalized navigation services. Lane-by-lane multi-level guidance can better balance traffic flow across lanes, fully utilize road resources, and improve overall road capacity. Drivers can be informed of traffic conditions ahead, making smoother and safer driving decisions and reducing risky behaviors such as sudden braking and sharp turns.

[0036] like Figure 2 The figure shows a schematic diagram of a lane-dividing multi-level induction module based on a full-scenario and full-coverage smart toll collection system of the present invention; the lane-dividing multi-level induction module includes a lane-dividing induction submodule and a multi-level induction submodule;

[0037] Optionally, the lane induction submodule is used to determine the traffic conditions of different lanes on the road based on the received traffic information; formulate corresponding induction strategies based on the traffic conditions of each lane; and send induction instructions corresponding to the induction strategies to the information publishing device through the communication network.

[0038] Targeted guidance is provided to vehicles in each lane based on traffic conditions. For example, when a lane becomes congested, information dissemination equipment can be used to issue detour or lane change recommendations to vehicles in that lane, guiding them to choose a more unobstructed lane. Lane guidance can improve road traffic efficiency, reduce waiting time in congested lanes, and help balance traffic flow across lanes, avoiding situations where some lanes are overly congested while others are idle.

[0039] Optionally, the multi-level induction submodule is used to determine the position of the vehicle traveling on the road and the distance from the current position of the vehicle to the toll station based on the position information in the received traffic information; determine the time when the corresponding vehicle arrives at the toll station based on the speed information in the traffic information; formulate a corresponding induction strategy based on the determined time when the vehicle on the road arrives at the toll station, and send the induction instruction corresponding to the induction strategy to the information release device through the communication network.

[0040] Multi-level guidance provides drivers with different levels of guidance information at different locations and distances. For example, at a distance from a congested road, variable message signs or in-vehicle navigation terminals provide drivers with early warnings of road congestion ahead, allowing them to prepare in advance. When approaching a congested road, traffic guidance screens and other equipment provide more detailed detour routes and traffic control information, guiding drivers to choose the optimal route. Multi-level guidance allows drivers to gradually understand the traffic conditions ahead, enabling them to make more informed decisions and improving the effectiveness of traffic guidance.

[0041] Optionally, the centralized intelligent device is used to integrate multiple functional modules into one device, wherein the multiple functions include traffic flow monitoring, signal control and communication; and automatically adjust traffic light timing according to real-time traffic flow conditions.

[0042] Integrated intelligent systems are comprehensive devices that integrate advanced technologies and intelligent functions. They can integrate traffic flow monitoring, signal control, and communications to achieve intelligent optimization of traffic signals. They automatically adjust traffic light timings based on real-time traffic flow conditions, improving road efficiency and reducing traffic congestion. They can be used in intelligent parking systems to implement functions such as parking space detection, guidance, and fee management. By integrating sensors, displays, and payment systems, they provide drivers with convenient parking services and improve parking lot utilization and management efficiency.

[0043] Optionally, the digital twin square is used to collect physical data on the square in real time through various sensors; use three-dimensional scanning technology to perform high-precision scanning of the square's terrain, buildings, landscape, etc. to obtain a three-dimensional geometric model of the square; transmit the collected data to a data center via a network for storage; and use digital modeling technology to construct a digital twin model of the square based on the collected three-dimensional geometric model and physical data; wherein the various sensors include cameras, temperature sensors, humidity sensors, and people flow counters; and the physical data include the environmental parameters of the square, the operating status of facilities, and the activities of personnel.

[0044] The data center utilizes high-performance servers and storage devices to ensure data security and reliability. Big data technologies are used to process and analyze data, extracting valuable information to support the application of the Digital Twin Plaza. In the event of an emergency, the Digital Twin Plaza can provide real-time on-site information, helping emergency commanders make quick decisions. Emergency drills using the Digital Twin Plaza can improve emergency response capabilities and collaborative operations. Various emergencies can be simulated in a virtual environment, allowing emergency personnel to familiarize themselves with emergency procedures and operational methods.

[0045] Optionally, the smart cloud cabin is used to monitor road traffic conditions in real time, coordinate traffic signal control, handle traffic accidents, command emergency rescue and release traffic information.

[0046] The Smart Cloud Cabin can monitor road traffic conditions in real time, coordinate traffic signal control, and release traffic information to improve road traffic efficiency. It can also be used for traffic accident handling and emergency rescue command, making traffic management more scientific and effective.

[0047] Optionally, the narrowed toll island is used to reduce the width of the toll island in the transverse direction of the road, thereby reducing the spacing between toll lanes accordingly; and shortening the length of the toll island while ensuring the installation of toll equipment and operating space for staff.

[0048] This approach primarily involves reducing the width and length of the toll island, allowing it to occupy a smaller space while still meeting its basic functions. Traditional toll islands are typically wide, while the "narrow island" design is more compact. By reducing the width of the toll island in the transverse direction of the road, the spacing between toll lanes can be appropriately reduced, thereby improving road space utilization. While ensuring sufficient space for toll equipment installation and operator operation, the toll island's length is shortened to minimize the impact on vehicle traffic.

[0049] Optionally, the operating status of the toll lane includes unobstructed traffic, congested traffic, the number of vehicles in queue, and abnormalities and emergencies.

[0050] Although the embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A smart charging system based on full-scenario and full-coverage, characterized by: include: ETC ramp pre-transaction module, lane-dividing multi-level guidance module, customized robots, digital twin plaza and smart cloud cabin; The ETC ramp pre-transaction module is used to trade the vehicle's ETC device in advance at the highway ramp; The lane-dividing multi-level guidance module includes a lane-dividing guidance submodule and a multi-level guidance submodule; the lane-dividing guidance submodule is used to provide targeted guidance to vehicles in each lane according to the traffic conditions of different lanes; the multi-level guidance submodule is used to provide different levels of guidance information to the driver at different positions and distances; The customized robot is used to optimize and transform the traditional toll island with the intensive intelligent equipment to obtain a narrow toll island; The digital twin plaza is used to move toll-related processing to the smart cloud cabin using lane monitoring, video surveillance, and emergency intercom; The smart cloud cabin is used to determine the operating status of the toll lane.

2. The all-scenario, all-coverage smart toll collection system according to claim 1 is characterized in that: The ETC ramp pre-transaction module includes: The ETC ramp pre-transaction module is used to communicate between the roadside unit installed on the ramp and the ETC on-board unit on the vehicle when a vehicle equipped with ETC equipment enters the ramp; the roadside unit reads the information in the ETC equipment of the vehicle and performs transaction pre-processing; wherein, the information includes the vehicle identity and the balance in the card; the transaction pre-processing includes completing part of the transaction process in advance if the transaction conditions are met, the balance in the card is sufficient, and the device status is normal; when the vehicle continues to drive into the main road, the ETC equipment on the main road quickly completes the remaining transaction links, or directly confirms the results of the ramp pre-transaction.

3. The all-scenario, all-coverage smart toll collection system according to claim 1 is characterized in that: The lane-dividing multi-level guidance module includes: The lane-divided multi-level induction module is used to detect traffic information of vehicles passing through the road in real time through various sensors installed on the road, wherein the traffic information includes position information, speed information and flow information, and the various sensors include cameras, radars, and geomagnetic detectors; analyze and process the traffic information and formulate corresponding induction strategies; and send the induction instructions corresponding to the induction strategies to the information release device through the communication network.

4. The all-scenario, all-coverage smart toll collection system according to claim 3 is characterized in that: The lane division induction submodule includes: The lane induction submodule is used to determine the traffic conditions of different lanes on the road based on the received traffic information; formulate corresponding induction strategies based on the traffic conditions of each lane; and send the induction instructions corresponding to the induction strategies to the information publishing device via the communication network.

5. The all-scenario, all-coverage smart toll collection system according to claim 3 is characterized in that: The multi-level inducer module includes: The multi-level induction submodule is used to determine the position of the vehicle traveling on the road and the distance from the current position of the vehicle to the toll station based on the position information in the received traffic information; determine the time when the corresponding vehicle arrives at the toll station based on the speed information in the traffic information; formulate a corresponding induction strategy based on the determined time when the vehicle on the road arrives at the toll station, and send the induction instruction corresponding to the induction strategy to the information release device through the communication network.

6. The all-scenario, all-coverage smart toll collection system according to claim 1 is characterized in that: The centralized intelligent device includes: The centralized intelligent device is used to integrate multiple functional modules into one device, wherein the multiple functions include traffic flow monitoring, signal control and communication; and automatically adjust traffic light timing according to real-time traffic flow conditions.

7. The all-scenario, all-coverage smart toll collection system according to claim 1 is characterized in that: The digital twin square includes: The digital twin square is used to collect physical data on the square in real time through various sensors; use three-dimensional scanning technology to perform high-precision scans of the square's terrain, buildings, landscape, etc. to obtain a three-dimensional geometric model of the square; transmit the collected data to a data center via a network for storage; and use digital modeling technology to construct a digital twin model of the square based on the collected three-dimensional geometric model and physical data. The various sensors include cameras, temperature sensors, humidity sensors, and people flow counters; and the physical data includes the environmental parameters of the square, the operating status of facilities, and the activities of people.

8. The all-scenario, all-coverage smart toll collection system according to claim 7 is characterized in that: The smart cloud cabin includes: The smart cloud cabin is used to monitor road traffic conditions in real time, coordinate traffic signal control, handle traffic accidents, command emergency rescue and release traffic information.

9. The all-scenario, all-coverage smart toll collection system according to claim 6 is characterized in that: The narrow island charging island includes: The narrowed toll island is used to reduce the width of the toll island in the transverse direction of the road, thereby reducing the spacing between toll lanes; and shortening the length of the toll island while ensuring space for toll equipment installation and staff operation.

10. The all-scenario, all-coverage smart toll collection system according to claim 1, characterized in that: The operating status of the toll lane includes unobstructed conditions, congested conditions, the number of vehicles in queue, and abnormalities and emergencies.

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