Electrified road AI panoramic management and control operation method and system

Abstract

The invention is suitable for the technical field of intelligent operation, and provides an electrified road AI panoramic management and control operation method and system, and the method comprises a holographic sensing module which is used for collecting traffic operation data, infrastructure state data, environment data and equipment operation data based on a holographic sensing function; the panoramic management and control module is used for fusing the collected multi-source data and then carrying out centralized display and analysis on a digital intelligent management and control platform; the digital twin module is used for constructing a three-dimensional simulated digital twin expressway and rendering dynamic vehicles and roads in a three-dimensional entity visualization manner; the intelligent decision-making module is used for carrying out AI intelligent service analysis according to the warning information and the video, and deducing analogue simulation through road network total factor digital information and a scheme; and the autonomous operation module is used for autonomously executing actions on a preset supervision task and making a decision according to the knowledge information and the environment information. According to the invention, real-time monitoring, scheduling and management of vehicles are realized, the efficiency is improved, the cost is reduced, and the environmental influence is reduced.

Description

Technical Field

[0001] The present invention relates to the field of intelligent operation technology, and specifically to an AI panoramic control and operation method and system for electrified highways. Background Art

[0002] With the intensification of urbanization and traffic problems, traditional road transportation faces many challenges, such as traffic congestion, environmental pollution and energy consumption. At present, new energy charging / battery-swappable heavy-duty trucks are still limited by their shortcomings of "short driving range, heavy weight, high price, inconvenient charging / battery-swappable, and single application scenario". For charging heavy-duty trucks, their suitable application scenarios are short-distance transportation with complete charging infrastructure and intermittent use; for battery-swappable heavy-duty trucks, their suitable application scenarios are dedicated line transportation with complete replacement infrastructure and fixed routes. Therefore, it is necessary to provide an AI panoramic control and operation method and system for electrified highways to solve the above problems. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide an AI panoramic control and operation method and system for electrified highways to solve the problems existing in the above-mentioned background technology.

[0004] The present invention is implemented as follows: an AI-powered panoramic control and operation system for electrified highways, the system comprising:

[0005] Holographic perception module, used to collect traffic operation data, infrastructure status data, environmental data, and equipment operation data based on holographic perception functions, to achieve real-time perception and information interaction of vehicle-road-arch-grid-electricity information;

[0006] The panoramic management and control module is used to integrate the collected multi-source data and centrally display and analyze it on the digital management and control platform to facilitate panoramic management and control;

[0007] The digital twin module is used to construct a 3D simulated digital twin highway, diagnose the road network status in real time, and visualize and render dynamic vehicles and roads in 3D entities;

[0008] The intelligent decision-making module is used to perform AI-powered business analysis based on warning information and videos, and generate solutions through digital information of all road network elements and simulation of solutions;

[0009] The autonomous operation module is used to autonomously execute actions and make decisions for preset regulatory tasks based on knowledge information and environmental information. The autonomous operation function is based on multi-dimensional data sources, and uses algorithm models and management and control models to perform data analysis and decision support, and intelligently output management and control strategies.

[0010] As a further solution of the present invention: the intelligent decision-making module includes:

[0011] Traffic data analysis unit, used to analyze traffic data, analyze the number, type, speed and direction of vehicles on the road, and analyze traffic flow;

[0012] The state route optimization unit is used for traffic flow prediction, dynamic vehicle scheduling, and energy consumption management based on AI optimization algorithms, allowing vehicles to adjust their paths and power supply points in real time according to their operating status and routes.

[0013] As a further solution of the present invention: the autonomous operation module includes:

[0014] Monitoring and management equipment unit, used for intelligent monitoring and management of equipment, enabling operation and maintenance personnel to operate and manage equipment remotely;

[0015] Energy supply management unit, used to intelligently manage the energy supply of electrified roads and allocate electricity based on traffic flow and vehicle demand factors;

[0016] The driving route optimization unit is used to automatically plan the optimal driving route based on the vehicle's real-time location, transportation tasks and power status to improve transportation efficiency;

[0017] The user service unit is used to provide convenient user services to transportation companies and drivers, including vehicle charging reservations, road condition information inquiries and transportation task allocation.

[0018] As a further solution of the present invention: the system further includes a fleet management module, which includes:

[0019] Vehicle management unit, used for vehicle management: providing routing, fencing, positioning, status, attendance, performance, and fleet leader management;

[0020] Intelligent alarm unit, used for intelligent alarm: providing corresponding business alarms based on different vehicle usage scenarios;

[0021] Comprehensive management unit for transport scheduling and power / fuel consumption management.

[0022] As a further solution of the present invention: the system further includes:

[0023] The vehicle-road intelligent control system uses wireless communications, the next generation of the Internet, and AI technologies to enable information exchange and sharing between vehicles and between vehicles and road infrastructure.

[0024] Channel logistics system: building a logistics network to promote the free flow and optimal allocation of resource elements;

[0025] Energy management and control system: monitors and manages the entire process of energy production, conversion, transmission, distribution, storage and use;

[0026] Trade chain system: Based on bulk trade, supply chain finance, big data resources and information industry, an integrated bulk material supply chain system is formed;

[0027] Digital and intelligent financial service system: Leveraging digital technology and intelligent algorithms to comprehensively optimize and upgrade financial services;

[0028] Technology service system: Through holographic perception, panoramic control, intelligent decision-making and autonomous operation, it integrates multi-source data and AI technology to achieve traffic flow optimization and intelligent equipment operation and maintenance;

[0029] Business chain supervision system: Based on the cloud-network-edge-end collaborative architecture, through multi-source data fusion and AI technology, it realizes real-time monitoring, intelligent analysis and collaborative control of vehicle-side and roadside equipment.

[0030] As a further solution of the present invention: the vehicle-side integrates big data and AI technology to provide real-time road condition perception, intelligent navigation and warning services. By connecting the vehicle-side with roadside equipment, it monitors traffic events in real time and actively warns, and identifies vehicle speed, speed limits and dangerous sections.

[0031] Another object of the present invention is to provide an AI-based panoramic management and operation method for electrified highways, the method comprising the following steps:

[0032] Based on the holographic perception function, traffic operation data, infrastructure status data, environmental data and equipment operation data are collected to achieve real-time perception and information interaction of vehicle-road-arch-network-electricity information;

[0033] After integrating the collected multi-source data, it is centrally displayed and analyzed on the digital management and control platform to facilitate panoramic management and control;

[0034] Construct a 3D simulated digital twin highway, diagnose the road network status in real time, and perform 3D entity visualization and rendering of dynamic vehicles and roads;

[0035] Conduct AI-powered business analysis based on warning information and videos, and generate solutions through digital information of all road network elements and simulation of solutions.

[0036] Based on knowledge information and environmental information, it can autonomously perform actions and make decisions for preset regulatory tasks. The autonomous operation function is based on multi-dimensional data sources, and uses algorithm models and management and control models to perform data analysis and decision support, and intelligently output management and control strategies.

[0037] As a further solution of the present invention: the step of generating a solution through digitized information of all road network elements and simulation of the solution specifically includes:

[0038] Analyze traffic data to analyze the number, type, speed, and direction of vehicles on the road and analyze traffic flow;

[0039] Traffic flow prediction, dynamic vehicle scheduling, and energy consumption management are performed based on AI optimization algorithms, allowing vehicles to adjust their routes and power supply points in real time based on their operating status and routes.

[0040] As a further solution of the present invention: the step of autonomously executing actions and making decisions for preset supervision tasks specifically includes:

[0041] Intelligent monitoring and management equipment, operation and maintenance personnel can operate and manage the equipment remotely;

[0042] Intelligently manage the energy supply of electrified roads and allocate electricity based on traffic flow and vehicle demand factors;

[0043] Automatically plan the optimal route based on the vehicle's real-time location, transportation tasks, and battery status to improve transportation efficiency;

[0044] Provide convenient user services for transportation companies and drivers, including vehicle charging reservations, road condition information inquiries and transportation task allocation.

[0045] As a further solution of the present invention: the method further includes managing the energy heavy truck fleet, and the specific steps are:

[0046] Carry out vehicle management: provide routing, fencing, positioning, status, attendance, performance and fleet leader management;

[0047] Intelligent alarm: Provide corresponding business alarms based on different vehicle usage scenarios;

[0048] Carry out transportation scheduling and power / fuel consumption management.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] The present invention collects traffic operation data, infrastructure status data, environmental data and equipment operation data, and realizes real-time monitoring, dispatching and management of vehicles through digital information of all elements of the road network and simulation of scheme deduction, thereby improving efficiency, reducing costs, minimizing environmental impact and promoting the sustainable development of the industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This is a structural diagram of an AI panoramic control and operation system for electrified highways.

[0052] Figure 2 This is a flowchart of an AI-based panoramic control and operation method for electrified highways. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0054] The specific implementation of the present invention is described in detail below with reference to specific embodiments.

[0055] like Figure 1 As shown, an embodiment of the present invention provides an AI-powered panoramic management and operation system for electrified highways, the system comprising:

[0056] Holographic perception module 100, used to collect traffic operation data, infrastructure status data, environmental data, and equipment operation data based on holographic perception functions, to achieve real-time perception and information exchange of vehicle-road-arch-grid-electricity information;

[0057] The panoramic control module 200 is used to integrate the collected multi-source data and centrally display and analyze them on the digital intelligent control platform to facilitate panoramic control;

[0058] Digital Twin Module 300, used to construct a 3D simulated digital twin highway, diagnose road network status in real time, and visualize dynamic vehicles and roads in 3D entities;

[0059] Intelligent decision-making module 400 is used to perform AI intelligent business analysis based on warning information and videos, and generate solutions through digital information of all elements of the road network and simulation of scheme deduction;

[0060] The autonomous operation module 500 is used to autonomously execute actions and make decisions for preset regulatory tasks based on knowledge information and environmental information. The autonomous operation function is based on multi-dimensional data sources, and performs data analysis and decision support through algorithm models and management and control models, and intelligently outputs management and control strategies.

[0061] In an embodiment of the present invention, holographic perception enables real-time perception, communication, and early warning of road conditions, restoring the actual traffic flow of a road network and understanding the operational patterns and complex relationships within the network. The holographic perception function collects traffic operation data, infrastructure status data, environmental data, equipment operation data, and other data to achieve real-time perception and information exchange of vehicle-road-architectural-grid-electricity information. This enables real-time, dynamic perception of all elements of an electrified highway, providing precise data support for subsequent management and control, fully realizing the efficient collaboration of the AI-powered panoramic control and operation platform for electrified highways, ensuring traffic safety and improving traffic efficiency. Panoramic control is based on AI and IoT technologies, integrating perception information from various sources to achieve real-time perception and information exchange of vehicle-road-architectural-grid-electricity information. On-site production data is acquired through data acquisition equipment and, after multi-source data fusion, centrally displayed and analyzed on the digital and intelligent management and control platform. The panoramic and insightful digital and intelligent management and control platform can be accessed via both a PC client and a mobile app. The panoramic control function, based on full-element, full-cycle digitization, creates a high-precision 3D simulated digital twin of a highway. This allows real-time diagnosis of road network status and 3D entity visualization of dynamic vehicles and roads, extending from the ground to the air. This enables "knowable, measurable, and controllable" coverage of the entire highway construction, management, maintenance, and operation process, supporting the dynamic management of complex traffic flows. By collecting traffic event data, equipment monitoring data, and resource allocation data, a comprehensive display of road surface operating conditions is achieved, providing a "one-picture, clear baseline, and clear situation."

[0062] As a preferred embodiment of the present invention, the intelligent decision-making module 400 includes: a traffic data analysis unit for analyzing traffic data, parsing the number, type, speed and driving direction of vehicles on the road, and analyzing traffic flow; a state route optimization unit for performing traffic flow prediction, dynamic vehicle scheduling, and energy consumption management based on AI optimization algorithms, so that vehicles can adjust their paths and power supply points in real time according to their operating status and routes.

[0063] In this embodiment of the present invention, based on the warning information and video AI intelligent business analysis sent by the platform, the digital information of all road network elements and simulation and deduction of solutions are used to analyze the root causes of the problem and propose solutions. Through intelligent decision-making, in-depth analysis of traffic data is carried out to analyze the number, type, speed and direction of vehicles on the road, and analyze traffic flow. Based on AI optimization algorithms, traffic flow prediction, dynamic vehicle scheduling, and energy consumption management are implemented, allowing vehicles to adjust their paths and power supply points in real time based on their operating status and routes. The intelligent decision-making function uses big data analysis and artificial intelligence models to conduct in-depth analysis of traffic data, providing managers with scientific decision-making support.

[0064] As a preferred embodiment of the present invention, the autonomous operation module 500 includes: a monitoring and management equipment unit, which is used to intelligently monitor and manage equipment, so that operation and maintenance personnel can remotely operate and manage the equipment; an energy supply management unit, which is used to intelligently manage the energy supply of electrified roads and allocate electricity according to traffic flow and vehicle demand factors; a driving route optimization unit, which is used to automatically plan the optimal driving route according to the vehicle's real-time location, transportation task and power status, thereby improving transportation efficiency; a user service unit, which is used to provide convenient user services for transportation companies and drivers, and the user services include vehicle charging reservations, road condition information inquiries and transportation task allocations.

[0065] In an embodiment of the present invention, the autonomous operation function will autonomously perform actions, make decisions, and complete preset supervision tasks or goals in a specific environment based on its own knowledge and environmental information, thereby improving the efficiency and reliability of highway operations. The autonomous operation function is based on multi-dimensional data sources, and uses algorithm models and management models to perform data analysis and decision support, and intelligently output management strategies. It has the following functions: intelligent monitoring and management equipment, so that operation and maintenance personnel can operate and manage the equipment in a "one-click intelligent control" manner; intelligent management of the energy supply of electrified highways, and reasonable allocation of electricity according to factors such as traffic flow and vehicle demand; it can automatically plan the optimal driving route based on the vehicle's real-time location, transportation tasks, power status, etc., to improve transportation efficiency; and provide convenient user services for transportation companies and drivers, such as vehicle charging reservations, road condition information inquiries, and transportation task allocation.

[0066] like Figure 2 As shown, as a preferred embodiment of the present invention, the system also includes a fleet management module, which includes: a vehicle management unit for vehicle management: providing routes, fences, positioning, status, attendance, performance and fleet leader management; an intelligent alarm unit for intelligent alarm: providing corresponding business alarms in combination with different vehicle usage scenarios; and a comprehensive management unit for transportation scheduling and power / fuel consumption management.

[0067] In the embodiment of the present invention, vehicles are dispatched intelligently to improve vehicle utilization, reduce labor costs and time waste; achieve precise power and fuel consumption control, reduce costs and increase efficiency, and help improve benefits.

[0068] In this embodiment, road network traffic control can be achieved: 1. Holographic Perception: This system integrates multiple networked sensing devices, including roadside radar, video cameras, and sensors, to display device locations through a graphical interface, facilitating easy access to device parameters. It also dynamically displays real-time monitoring footage, device status, and data application status to ensure data integrity and accuracy. 2. Real-Time Monitoring: This system utilizes multi-source data fusion technology to improve the accuracy of radar and video data, reducing data gaps and errors. It assesses traffic congestion in real time and dynamically displays information such as traffic flow status, traffic accidents, road construction, key vehicle tracking, and the status of important nodes. 3. Situational Analysis: Based on real-time traffic flow data, it utilizes advanced traffic flow models and AI algorithms to predict minute-by-minute traffic flow changes within the next 1-2 hours. This dynamic and intuitive display, combined with a 3D simulation model, helps managers formulate response strategies in advance. 4. Active Control: This system displays real-time information such as the operating status of the currently controlled road section, information released, and control effectiveness evaluation. The software includes multiple built-in control strategies, including active lane control, ramp control, tiered speed limits, and construction management, allowing managers to select the optimal control method based on the real-time situation.

[0069] In this embodiment of the present invention, equipment operation and maintenance management can be performed: 1. By connecting the vehicle-side and roadside equipment, the electrified highway AI panoramic management and operation platform realizes data collection, monitoring and analysis, and supports equipment automation operation, fault warning and diagnosis. 2. The system uses multi-source data fusion and intelligent algorithms to accurately locate equipment status and provide preventive maintenance recommendations. 3. The platform supports equipment lifecycle management, optimizes maintenance plans, and reduces operation and maintenance costs. 4. Through data encryption and access control, information security is guaranteed, and the equipment operation efficiency and management intelligence level are improved.

[0070] In this embodiment of the present invention, the driver-side system integrates big data and AI technology to provide real-time road condition awareness, intelligent navigation, and early warning services. By connecting the vehicle-side system with roadside equipment, the system can monitor traffic events in real time and proactively issue early warnings, accurately identifying information such as vehicle speed, speed limits, and dangerous road sections.

[0071] In an embodiment of the present invention, the system also includes: a vehicle-road intelligent control system, which uses wireless communications, the new generation of Internet and AI technology to realize information interaction and sharing between vehicles and vehicles, and vehicles and road infrastructure; a channel logistics system: building a logistics network to promote the free flow and optimal allocation of resource elements; an energy management and control system: monitoring and managing the entire process of energy production, conversion, transmission, distribution, storage and use; a trade chain system: forming an integrated bulk material supply chain system based on bulk trade, supply chain finance, big data resources and information industry; a digital financial service system: using digital technology and intelligent algorithms to comprehensively optimize and upgrade financial services; a scientific and technological service system: through holographic perception, panoramic control, intelligent decision-making and autonomous operation, integrating multi-source data and AI technology to achieve traffic flow optimization and intelligent equipment operation and maintenance; a business chain supervision system: based on the cloud-network-edge-end collaborative architecture, through multi-source data fusion and AI technology, real-time monitoring, intelligent analysis and collaborative control of vehicle-side and roadside equipment are achieved.

[0072] In the embodiments of the present invention, 1. Implementation method of the vehicle-road intelligent control system: Deploy wireless communication equipment: Deploy wireless communication equipment on vehicles and road infrastructure to realize real-time transmission of information. Develop a vehicle-road cooperative system: Use the new generation of Internet technology to develop a vehicle-road cooperative system to realize information interaction and sharing between vehicles and vehicles, and vehicles and road infrastructure. Optimize the utilization of traffic resources: According to real-time traffic flow and road condition information, intelligently adjust the timing of traffic lights, optimize lane allocation, and improve road capacity. 2. Implementation method of the channel logistics system: Construct a logistics hub: Build a logistics hub at key nodes, integrate multiple modes of transportation, and realize rapid collection, distribution and transit of goods. Promote logistics standardization: formulate logistics standards, promote standardized packaging, transportation and loading and unloading equipment, and improve logistics efficiency. Strengthen regional cooperation: break geographical restrictions, strengthen inter-regional logistics cooperation, and promote the free flow and optimal allocation of resource elements. 3. Implementation method of the energy management and control system: Establish an energy monitoring network: Deploy monitoring equipment in energy production, conversion, transmission and distribution, storage and use to collect energy data in real time. Develop an energy management system: Leverage big data and AI technologies to develop an energy management system that conducts in-depth mining and analysis of energy data to achieve efficient energy utilization and energy conservation and emission reduction. Formulate energy management policies: Based on energy management data and analysis results, formulate targeted energy management policies to promote the sustainable development of the energy industry. 4. Implementation Methods of the Trade Chain System: Integrate supply chain resources: Integrate the supply chain resources of upstream and downstream enterprises to form a complete supply chain system. Develop supply chain finance: Collaborate with financial institutions to provide financing, settlement, and other financial services to upstream and downstream enterprises in the supply chain to address capital flow issues. Promote the integration of logistics, trade, finance, and technology: Integrate modern logistics, bulk trade, supply chain finance, big data resources, and the information industry to promote the integrated development of logistics, trade, finance, and technology to form a competitive supply chain system. 5. Implementation Methods of the Digital and Intelligent Financial Service System: Develop a digital and intelligent financial platform: Leverage digital technologies and intelligent algorithms to develop a digital and intelligent financial platform to provide intelligent financial services. Optimize financial product design: Optimize financial product design based on user needs and market changes to improve the relevance and effectiveness of financial services. Strengthen risk management: Leverage big data and AI technologies to conduct real-time monitoring and early warning of financial risks to ensure financial security. 6. Implementation methods of the science and technology service system: Establish science and technology R&D centers: Encourage enterprises, universities, and research institutions to establish science and technology R&D centers to promote technological innovation and the transformation of research results. Provide science and technology consulting services: Provide science and technology consulting services to upstream and downstream enterprises to help them solve technical problems and improve their technological content. Promote intelligent operation and maintenance services: Use AI technology to perform intelligent operation and maintenance of transportation facilities and equipment to improve operation and maintenance efficiency and quality. 7. Implementation methods of the business chain supervision system: Construct a business chain supervision platform: Based on the "cloud, network, edge, and end" collaborative architecture, build a business chain supervision platform to achieve supervision of the entire business chain of electrified roads.Integrate multi-source data: Integrate data from different channels, such as vehicle data, road data, energy data, and trade data, to form a comprehensive data view. Implement intelligent supervision: Use AI technology to intelligently analyze business chain data, identify and resolve problems in a timely manner, and achieve intelligent and coordinated supervision.

[0073] like Figure 2 As shown, an embodiment of the present invention further provides an AI-powered panoramic control and operation method for electrified highways, the method comprising the following steps:

[0074] S100, based on holographic perception, collects traffic operation data, infrastructure status data, environmental data, and equipment operation data, achieving real-time perception and information exchange between vehicle, road, bow, network, and electricity;

[0075] S200 integrates collected multi-source data and centrally displays and analyzes them on a digital management and control platform, facilitating panoramic management and control.

[0076] S300, constructs a 3D simulated digital twin highway, diagnoses road network status in real time, and renders dynamic vehicles and roads in 3D entity visualization;

[0077] S400 performs AI-powered intelligent business analysis based on warning information and videos, generating solutions through digital information of all road network elements and simulation of solutions.

[0078] S500, based on knowledge information and environmental information, autonomously executes actions and makes decisions for preset regulatory tasks. The autonomous operation function is based on multi-dimensional data sources, and uses algorithm models and management and control models to perform data analysis and decision support, and intelligently output management and control strategies.

[0079] As a preferred embodiment of the present invention, the step of generating a solution through digital information of all elements of the road network and simulation of the scheme deduction specifically includes: analyzing traffic data, parsing the number, type, speed and driving direction of vehicles on the road, and analyzing traffic flow; performing traffic flow prediction, dynamic vehicle scheduling, and energy consumption management based on AI optimization algorithms, so that vehicles can adjust their paths and power supply points in real time according to their operating status and routes.

[0080] As a preferred embodiment of the present invention, the steps of autonomously executing actions and making decisions for preset supervision tasks specifically include: intelligent monitoring and management equipment, so that operation and maintenance personnel can remotely operate and manage the equipment; intelligent management of the energy supply of electrified roads, and allocation of electric energy according to traffic flow and vehicle demand factors; automatic planning of the optimal driving route according to the real-time location, transportation task and power status of the vehicle to improve transportation efficiency; and providing convenient user services for transportation companies and drivers, which include vehicle charging reservations, road condition information inquiries and transportation task allocation.

[0081] As a preferred embodiment of the present invention, the method also includes managing the energy heavy truck fleet, and the specific steps are: performing vehicle management: providing routes, fences, positioning, status, attendance, performance and fleet leader management; performing intelligent alarms: providing corresponding business alarms in combination with different vehicle usage scenarios; performing transportation scheduling and power / fuel consumption management.

[0082] The above is only a detailed description of the preferred embodiments of the present invention, which is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

[0083] It should be understood that, although the various steps in the flow chart of each embodiment of the present invention are shown in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence according to the order indicated by the arrows. Unless otherwise specified herein, the execution of these steps is not strictly limited in order, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0084] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0085] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the disclosure in the specification and examples. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered merely as exemplary, and the true scope and spirit of the present disclosure are indicated by the claims.

Claims

1. The AI ​​panoramic control and operation system for electrified highways is characterized by: The system comprises: Holographic perception module, used to collect traffic operation data, infrastructure status data, environmental data, and equipment operation data based on holographic perception functions, to achieve real-time perception and information interaction of vehicle-road-arch-grid-electricity information; The panoramic management and control module is used to integrate the collected multi-source data and centrally display and analyze it on the digital management and control platform to facilitate panoramic management and control; The digital twin module is used to construct a 3D simulated digital twin highway, diagnose the road network status in real time, and visualize and render dynamic vehicles and roads in 3D entities; The intelligent decision-making module is used to perform AI-powered business analysis based on warning information and videos, and generate solutions through digital information of all road network elements and simulation of solutions; The autonomous operation module is used to autonomously execute actions and make decisions for preset regulatory tasks based on knowledge information and environmental information. The autonomous operation function is based on multi-dimensional data sources, and uses algorithm models and management and control models to perform data analysis and decision support, and intelligently output management and control strategies.

2. The AI ​​panoramic control and operation system for electrified highways according to claim 1 is characterized in that: The intelligent decision-making module includes: Traffic data analysis unit, used to analyze traffic data, analyze the number, type, speed and direction of vehicles on the road, and analyze traffic flow; The state route optimization unit is used for traffic flow prediction, dynamic vehicle scheduling, and energy consumption management based on AI optimization algorithms, allowing vehicles to adjust their paths and power supply points in real time according to their operating status and routes.

3. The AI ​​panoramic control and operation system for electrified highways according to claim 1 is characterized in that: The autonomous operation module includes: Monitoring and management equipment unit, used for intelligent monitoring and management of equipment, enabling operation and maintenance personnel to operate and manage equipment remotely; Energy supply management unit, used to intelligently manage the energy supply of electrified roads and allocate electricity based on traffic flow and vehicle demand factors; The driving route optimization unit is used to automatically plan the optimal driving route based on the vehicle's real-time location, transportation tasks and power status to improve transportation efficiency; The user service unit is used to provide convenient user services to transportation companies and drivers, including vehicle charging reservations, road condition information inquiries and transportation task allocation.

4. The AI ​​panoramic control and operation system for electrified highways according to claim 1 is characterized in that: The system further includes a fleet management module, which includes: Vehicle management unit, used for vehicle management: providing routing, fencing, positioning, status, attendance, performance, and fleet leader management; Intelligent alarm unit, used for intelligent alarm: providing corresponding business alarms based on different vehicle usage scenarios; Comprehensive management unit for transport scheduling and power / fuel consumption management.

5. The AI ​​panoramic control and operation system for electrified highways according to claim 1 is characterized in that: The system further comprises: The vehicle-road intelligent control system uses wireless communications, the next generation of the Internet, and AI technologies to enable information exchange and sharing between vehicles and between vehicles and road infrastructure. Channel logistics system: building a logistics network to promote the free flow and optimal allocation of resource elements; Energy management and control system: monitors and manages the entire process of energy production, conversion, transmission, distribution, storage and use; Trade chain system: Based on bulk trade, supply chain finance, big data resources and information industry, an integrated bulk material supply chain system is formed; Digital and intelligent financial service system: Leveraging digital technology and intelligent algorithms to comprehensively optimize and upgrade financial services; Technology service system: Through holographic perception, panoramic control, intelligent decision-making and autonomous operation, it integrates multi-source data and AI technology to achieve traffic flow optimization and intelligent equipment operation and maintenance; Business chain supervision system: Based on the cloud-network-edge-end collaborative architecture, through multi-source data fusion and AI technology, it realizes real-time monitoring, intelligent analysis and collaborative control of vehicle-side and roadside equipment.

6. The AI ​​panoramic control and operation system for electrified highways according to claim 5 is characterized in that: The vehicle-side integrates big data and AI technology to provide real-time road condition perception, intelligent navigation and warning services. By connecting the vehicle-side with roadside equipment, it monitors traffic events in real time and actively issues warnings, identifying vehicle speeds, speed limits and dangerous road sections.

7. The AI ​​panoramic control and operation method for electrified highways is characterized by: The method comprises the following steps: Based on the holographic perception function, traffic operation data, infrastructure status data, environmental data and equipment operation data are collected to achieve real-time perception and information interaction of vehicle-road-arch-network-electricity information; After integrating the collected multi-source data, it is centrally displayed and analyzed on the digital management and control platform to facilitate panoramic management and control; Construct a 3D simulated digital twin highway, diagnose the road network status in real time, and perform 3D entity visualization and rendering of dynamic vehicles and roads; Conduct AI-powered business analysis based on warning information and videos, and generate solutions through digital information of all road network elements and simulation of solutions. Based on knowledge information and environmental information, it can autonomously perform actions and make decisions for preset regulatory tasks. The autonomous operation function is based on multi-dimensional data sources, and uses algorithm models and management and control models to perform data analysis and decision support, and intelligently output management and control strategies.

8. The AI ​​panoramic control and operation method for electrified highways according to claim 7 is characterized in that: The steps of generating a solution through digital information of all road network elements and simulation of scheme deduction specifically include: Analyze traffic data to analyze the number, type, speed, and direction of vehicles on the road and analyze traffic flow; Traffic flow prediction, dynamic vehicle scheduling, and energy consumption management are performed based on AI optimization algorithms, allowing vehicles to adjust their routes and power supply points in real time based on their operating status and routes.

9. The AI ​​panoramic control and operation method for electrified highways according to claim 7 is characterized in that: The steps of autonomously executing actions and making decisions for preset supervision tasks specifically include: Intelligent monitoring and management equipment, operation and maintenance personnel can operate and manage the equipment remotely; Intelligently manage the energy supply of electrified roads and allocate electricity based on traffic flow and vehicle demand factors; Automatically plan the optimal route based on the vehicle's real-time location, transportation tasks, and battery status to improve transportation efficiency; Provide convenient user services for transportation companies and drivers, including vehicle charging reservations, road condition information inquiries and transportation task allocation.

10. The AI ​​panoramic control and operation method for electrified highways according to claim 7, characterized in that: The method further includes managing the energy heavy truck fleet, and the specific steps are: Carry out vehicle management: provide routing, fencing, positioning, status, attendance, performance and fleet leader management; Intelligent alarm: Provide corresponding business alarms based on different vehicle usage scenarios; Carry out transportation scheduling and power / fuel consumption management.

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