Intelligent hub local area network

Abstract

The existing vehicle and other intelligent agents have limited individual perception field, and after networking, it is difficult to give consideration to the real-time interaction of near and far road condition information. The intelligent hub LAN formed by the dynamic networking of intelligent agents shares the road condition collection data in the region, realizes the real-time risk prediction. In addition, the information outside the same LAN is provided by the upper network, realizing the seamless link of near and far road condition information transmission, reducing the intelligent agent computing power pressure.

Description

Technical Field

[0001] This invention relates to the fields of vehicle networking and intelligent agent collaborative perception and communication technology, and in particular to an intelligent central local area network for dynamic networking of multiple types of intelligent agents. Background Technology

[0002] Currently, most vehicles rely on onboard sensors combined with driver observation and driving experience to identify road conditions and make driving decisions. A few vehicles with intelligent sensing capabilities can achieve independent detection, relying on remote data transmission from the vehicle manufacturer's backend to obtain surrounding road condition information. They achieve vehicle interconnection through C-V2X PC5 sidelink direct connection signal communication, and through cellular and satellite signals to form direct vehicle connections.

[0003] These methods have obvious drawbacks: single-vehicle perception has limited field of view and many blind spots, making it impossible to obtain road conditions in long distances or obstructed areas; there are delays in backend data transmission, resulting in lagging information updates and an inability to achieve real-time road condition linkage and immediate risk prediction, making it difficult to meet the needs of driving safety warnings in complex road conditions; cellular signals and satellite communication have large ranges, and if information from one or more provinces is processed uniformly by a single intelligent vehicle, the processor and memory simply cannot support it; the C-V2X PC5 sidelink direct connection signal communication range is about 300-1000 meters, and information beyond 1000 meters cannot be interconnected between vehicles.

[0004] In summary, none of the technologies mentioned above can meet the needs for real-time vehicle linkage and safety warning under complex road conditions. Summary of the Invention

[0005] Technical solution

[0006] A smart central local area network is composed of dynamically interconnected smart agents equipped with a central control system. The central control systems are interconnected and share data to avoid various dangers.

[0007] The intelligent agent refers to various carriers that include a central control system. These carriers include, but are not limited to, motor vehicles, non-motor vehicles, ships, aircraft, security equipment, and information transceiver equipment.

[0008] The central control system is an independent control system that combines hardware and supporting control programs. It is based on a processor and memory, with optional components such as sensing components, communication modules and execution components. It has the ability to independently judge information, autonomously issue warnings and autonomously handle events.

[0009] The central control system can upload the collected data to the upper-level network after de-identification processing. The upper-level network then integrates and processes the de-identified data to provide the necessary services to each intelligent agent.

[0010] Users need to view shared information, and the central control system displays relevant de-identified data.

[0011] So-called de-identified data refers to data that has been processed in layers by the central control system to remove traceable privacy and confidential attributes from collected or shared information.

[0012] Whether each central control system is networked is determined by the relative distance between the intelligent agents. Intelligent agents in the same area can access the same intelligent central local area network and exchange data in real time.

[0013] Central control systems for intelligent agents of the same category or related types can be prioritized for building intelligent central local area networks.

[0014] The central local area network supports interoperability among networked intelligent agents, enabling real-time sharing of location and road information, and data transmission via any means, including radio waves, voice, text, images, and video. It can also support simultaneous networking of multiple central control systems.

[0015] The central local area network can be a normal network on motor vehicles, and other intelligent agents can adaptively form networks to send and receive information within the intelligent central local area network.

[0016] Within the same area, intelligent agents can autonomously and dynamically join the network; those outside the same area automatically disconnect. Each intelligent agent collects surrounding road conditions, environmental conditions, and location data of other intelligent agents through a supporting sensing system. Relying on the central control system, the collected information is shared in real time within the local area network, and multi-device data is integrated to construct a comprehensive sensing field of view.

[0017] The same area can be divided by provincial, municipal, county, or township administrative regions; it can be divided by the distance between intelligent agents; it can be a network of all intelligent agents; or it can be divided by designated roads. Each intelligent agent can set the range within its corresponding area to receive information from other intelligent agents or higher-level networks, according to its own needs.

[0018] Beneficial effects

[0019] Compared to existing technologies, this invention adopts a local interconnection mode of dynamic networking of intelligent agents, which eliminates the limitations of traditional vehicle-to-vehicle independent detection and reliance on delayed data transmission from the cloud backend. The surrounding intelligent agents in the area can synchronize road condition perception data in real time and integrate multi-dimensional information to form a complete road condition vision of the entire area.

[0020] 1. In low-visibility environments such as heavy fog and heavy rain, it can significantly broaden the vehicle's field of vision and eliminate blind spots.

[0021] 2. Warnings should be issued in advance for accident-prone and high-risk road sections, and precautions should be given.

[0022] 3. In the event of a sudden emergency, relevant information can be synchronized to nearby intelligent vehicles in real time; this can effectively avoid danger and prevent secondary collisions.

[0023] 4. The intelligent central LAN, in conjunction with the upper-level network, can achieve seamless linking of short-distance and long-distance road condition information transmission, reducing the computing power pressure on the upper-level network.

[0024] Figure label:

[0025] 1. The upstream network;

[0026] 2. Motor vehicles;

[0027] 3. Non-motorized vehicles;

[0028] 4. Information transceiver equipment.

[0029] Figure 1 Attached Figure Description

[0030] This diagram illustrates the combination of administrative region networking and designated road networking.

[0031] The diagram is labeled 1 - upper-level network, 2 - motor vehicle, 3 - non-motor vehicle, and 4 - information transceiver equipment.

[0032] Motor vehicles, non-motor vehicles, and information transceivers all establish communication connections with the superior network. When within administrative region A, information is exchanged directly within that administrative region, without direct interaction with intelligent agents in other administrative regions. Road condition and hazard data across administrative regions are uniformly aggregated and forwarded to each intelligent agent through the superior network.

[0033] Figure 2 Attached Figure Description

[0034] This diagram illustrates a regional independent network structure based on the distance between agents.

[0035] All the intelligent agents labeled in the diagram are 2-motor vehicles;

[0036] Multiple vehicles within this distance range are directly connected in two directions to form a local area network, allowing them to directly transmit and share the collected road information.

[0037] Example

[0038] The intelligent central local area network (LAN) is primarily designed for accident prevention. It collects hazard information in advance, shares information about the surrounding environment, and enables early analysis of potential dangers and risk avoidance. Even if a hazard does occur, it can provide timely warnings to prevent secondary incidents.

[0039] Example 1: Prioritized networking of similar intelligent agents under severe weather conditions

[0040] In low-visibility scenarios such as heavy rain and dense fog, the visual range of motor vehicles (2) is only about ten meters, making it extremely easy to cause accidents. At this time, multiple vehicles adjacent to each other on the road automatically prioritize the formation of an intelligent central local area network, and all vehicles share the road information and vehicle positioning collected by their respective radar, camera and other equipment. The perception images of multiple motor vehicles are spliced ​​together to extend the visual range. Even if the visual distance of each vehicle is very short, it can rely on the perception data of surrounding vehicles, especially the vehicles in front, to identify road information tens of meters, hundreds of meters, thousands of meters or even further ahead in advance, so as to achieve the purpose of complementary blind spots and greatly reduce the risk of driving in bad weather.

[0041] Example 2: Prioritized networking method for intelligent agents of relevant types in accident-prone road sections

[0042] For accident-prone road sections with high accident rates and complex road conditions, information transceiver equipment equipped with a central control system (4) can be placed. These intelligent agents can continuously collect real-time images of dangerous road sections, road surface water accumulation, road surface damage, sharp bends and steep slopes, rockfalls and landslides, etc. They can prioritize forming a local area network with vehicles entering the area and push real-time road information and precautions in the form of text, language, pictures, videos, etc. When encountering a dangerous situation that has already occurred, they can promptly send an emergency emergency report to the superior network and issue a warning in a wider range through the superior network (1), so that intelligent agents such as motor vehicles that have not entered the road section can avoid it in advance.

[0043] Meanwhile, the information transceiver equipment can store historical road conditions and high-frequency accident locations for the road section for a long time. Vehicles passing through the road section and connected to the central local area network can directly retrieve historical records to predict potential road hazards in advance.

[0044] Example 3: Emergency Warning

[0045] Traffic accidents are unavoidable while vehicles are in motion. In network mode, once a traffic accident, a failure of its own carrier, or a road hazard is discovered in each local area subnet, it will immediately warn surrounding vehicles, especially those approaching from behind, and send relevant pictures and videos to facilitate other vehicles to make corresponding judgments and take appropriate measures.

[0046] Example 4: Driver Interaction with Central Control System

[0047] While the vehicle is in motion, if the driver needs information about the surrounding roads, the central control system can retrieve the relevant information. Information collected by this vehicle can be viewed freely, and information collected by other vehicles in the same area can be viewed after being anonymized.

[0048] Example 5: Shared Networking Method

[0049] Several ways to divide the information interaction area of ​​an intelligent central local area network:

[0050] 1. Methods of dividing administrative regions.

[0051] The system divides shared areas by provincial, municipal, county, or township-level administrative divisions. When an intelligent agent approaches the boundary of a corresponding administrative region, it can access the shared information of the region's central local area network (LAN) in advance, while retaining the sharing status of its original LAN. After entering the corresponding administrative region to a certain distance, the original LAN connection is canceled, and the agent only connects to and receives information collected by other intelligent agents within the new administrative region. In other words, at the boundaries of two or more administrative regions, the LANs of different regions can communicate with each other, achieving cross-regional network sharing of information.

[0052] 2. Distance-based region division method.

[0053] Each agent has a networkable area. If the locations of two or more agents overlap within this area, they can form a network and receive road information collected by other agents within the local area network.

[0054] 3. Unified networking method of the superior network.

[0055] With the upper-level network as the unified network, the central control system can customize the data it receives from other intelligent agents; whether it receives information within a certain range or information from specific roads can be set as needed, and the information is sent by the upper-level network. The upper-level network can have several subordinate city networks, which receive and send anonymized information locally and exchange data with each intelligent agent.

[0056] Designated road sharing method

[0057] The designated road sharing mode involves inputting the starting point to the destination, generating a complete navigation route, and then having the upper-level network aggregate the collected information from the intelligent agents along the entire road and transmit it to the central control system. Road information outside the designated route does not participate in information exchange.

[0058] The designated road sharing mode allows all information on designated roads to be shared across regions by the superior network. Alternatively, information within the region can be directly generated and shared between agents, while information outside the region can be uploaded to the superior network by agents in other regions, processed, and then forwarded. Information within the region can be from within an administrative area or from a certain distance. In other words, the designated road sharing mode can be combined with or complement points 1 or 2 above.

[0059] The central control system of this invention can reduce the range of information received and limit the types of receiving intelligent agents within a region according to the needs of intelligent agents and users, so as to reduce the consumption of computing power; however, there are no restrictions on the range or type of emergency information received.

[0060] All information uploaded to the upper-level network and displayed to users in this invention is anonymized data; the data collected by each intelligent agent is shared and interacted locally in the local area network of the intelligent hub, and can also be forwarded across regions through the upper-level network, thereby realizing the integrated analysis of road conditions across the entire region and early warning of potential dangers.

[0061] The above embodiments are exemplary cases and not the final combined implementation scheme. The embodiments mainly focus on motor vehicles, but intelligent agents equipped with intelligent central local area networks include, but are not limited to, motor vehicles, non-motor vehicles (3), ships, aircraft, robots, security equipment and information transceiver equipment.

Claims

1. An intelligent central local area network, characterized in that: Several intelligent agents dynamically network within the same area using a central control system; the central control system has the ability to autonomously process events, and central controls within the same area share data collected by sensing devices; data from outside the same area is provided to each central control system after being integrated by a higher-level network.

2. The intelligent central local area network according to claim 1, characterized in that: The methods for defining the same area include administrative division, distance division, integrated division by a higher-level network, and designated road division; the central control system is compatible with the above-mentioned multiple area definition methods, supports the use of each definition method alone, or any combination of two or more methods, to complete information interaction processing.

3. The intelligent central local area network according to claim 1, characterized in that: The intelligent agents include, but are not limited to, motor vehicles, non-motor vehicles, ships, aircraft, robots, security equipment, and information transceiver equipment.

4. The intelligent central local area network according to claim 1, characterized in that: Each intelligent agent can narrow the scope of information reception according to its needs.

5. The intelligent central local area network according to claim 1, characterized in that: Central control systems of similar or related intelligent agents should prioritize establishing local area networks in the same region to share information.

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