A human-vehicle-road-cloud-sky integrated closed-loop management comprehensive system and method based on "human" as the root

Abstract

This invention discloses a comprehensive closed-loop management system and method integrating people, vehicles, roads, cloud, and space, with "people" as the core, belonging to the field of intelligent transportation and traffic safety management technology. This invention takes the driver as the core prevention and control subject, constructing a multi-dimensional collaborative architecture including a human-end comprehensive perception module, a vehicle-end execution and control module, a road-end collaborative assistance module, a cloud storage and traceability module, and a space-level BeiDou and low-orbit satellite collaborative module. Through multimodal alcohol detection, EEG monitoring, comprehensive physiological sign collection, and facial and limb fatigue recognition technologies, it achieves seamless and accurate screening of driver status. The vehicle-end control module adopts a source interception strategy of "only restricting vehicle start-up, not locking the entire vehicle," avoiding secondary risks caused by forced intervention during driving. The road-end, cloud, and space-level modules collaborate to achieve data interaction, encrypted storage, precise positioning, and signal support, forming an integrated closed-loop management system encompassing pre-event warning, in-event prevention, and post-event traceability. This invention solves the technical shortcomings of existing traffic management systems that emphasize equipment over human factors, effectively improving the initiative and safety of traffic safety management, and can be widely applied to various road traffic scenarios.

Description

Technical Field

[0001] This invention belongs to the field of intelligent transportation security management and control technology, specifically involving an integrated closed-loop management and control system and operation method that takes "people" as the foundation and integrates multi-dimensional collaboration of people, vehicles, roads, clouds and sky. Background Technology

[0003] Most existing traffic control systems on the market at present focus on monitoring and controlling roads, vehicles, and cloud data, and generally have a core shortcoming: they ignore the driver as the fundamental subject of all traffic safety.

[0004] Existing technologies can only capture images, monitor local areas, and issue independent warnings after an incident, but they cannot prevent problems by taking into account the driver's physical signs, mental state, and behavioral risks. At the same time, people and vehicles, road areas, meteorology, high-altitude satellites, and cloud platforms are isolated from each other, with data not being shared and weak linkage, making it impossible to form a unified closed loop.

[0005] Traditional solutions suffer from limited control dimensions, delayed early warnings, and passive interventions. The root cause of a large number of traffic accidents lies entirely in human-caused hazards, and existing technologies cannot achieve integrated and coordinated control from the source.

[0006] Therefore, in response to the above-mentioned existing technical deficiencies, there is an urgent need to design an integrated closed-loop management and control system that takes "people" as its foundation and integrates multi-dimensional linkages between people, vehicles, roads, clouds, and the sky, so as to avoid human-caused traffic safety hazards from the source and fill the current gaps in the industry. Summary of the Invention

[0007] Based on the technical solution described in the claims, this invention discloses an integrated closed-loop management system and method for people, vehicles, roads, clouds, and the sky, developed with "people" as the fundamental element. It fully details the composition, function, and operating logic of each module of the system, and realizes comprehensive forward monitoring of driver status and humanized safety management.

[0008] A closed-loop control system and method integrating people, vehicles, roads, clouds, and sky, developed based on "people" as the fundamental element, is characterized by: including a human-end comprehensive perception module, a vehicle-end execution control module, a road-end collaborative assistance module, a cloud storage and traceability module, and a sky-level Beidou and low-altitude satellite collaborative module; the overall architecture takes human-end comprehensive perception as the core control body, and the other modules cooperate with each other to form a complete collaborative system.

[0009] The human-end integrated perception module is the core source of patent rights confirmation, and includes a multimodal alcohol detection unit, an electroencephalogram (EEG) monitoring unit, a comprehensive physiological sign acquisition unit, and a facial and limb fatigue recognition unit.

[0010] The multimodal alcohol detection unit employs a monitoring method that combines sweat alcohol collection, detection of alcohol particle evaporation in the vehicle's air, and non-contact long-distance initial screening. If the initial screening is abnormal, it automatically initiates a precise second verification by blowing a breathalyzer. Based on a preset fixed judgment threshold, it accurately determines the driver's drinking status through a two-layer step-by-step judgment method.

[0011] The brainwave monitoring unit collects the driver's brainwave signals in real time, accurately detects the driver's level of consciousness, mental inattention, drowsiness, absent-mindedness, thinking state, and operational risk tendency, and monitors the driver's mental state in real time.

[0012] The comprehensive physiological sign collection unit collects and monitors the driver's heart rate, heart rate, blood pressure fluctuations, emotional tension, physical excitement, and various abnormal physiological changes in real time, so as to fully understand the driver's physical physiological state.

[0013] The facial and limb fatigue recognition unit identifies the frequency of the driver's eyelid opening and closing, yawning behavior, facial expressions, abnormal limb movements, and absent-minded fatigue state to make a comprehensive judgment on the driver's driving status.

[0014] The vehicle-side execution control module is configured with exclusive control logic: when the multimodal alcohol detection unit determines that the driver's alcohol level is above the limit, it only restricts the vehicle's starting function and does not lock the entire vehicle. It only achieves the interception of drunk driving at the source and does not perform mandatory vehicle locking intervention.

[0015] The roadside collaborative assistance module mainly realizes the functions of road condition interaction and driving risk warning; the cloud storage and traceability module is responsible for the encrypted archiving and full traceability of various detection data; the sky layer relies on Beidou positioning and low-altitude satellites to achieve dual collaborative operation, providing positioning, timing and signal reference support for the entire system operation. The modules work together to ensure the overall collaborative and stable operation of the system.

[0016] A closed-loop control system and method integrating people, vehicles, roads, clouds, and the sky, developed based on "people" as the fundamental principle, is realized based on the above system. It operates according to the functions of the system modules throughout the process, completes the pre-monitoring of driver's vital signs and vehicle safety control, and realizes integrated prevention and control throughout the entire process.

[0017] 3.1 Specific Implementation This invention adopts an integrated collaborative architecture of people, vehicles, roads, clouds, and sky, with modules at each level interacting and sharing data to form a complete closed-loop management system centered on proactive prevention of drunk driving, supported by Level 3 autonomous driving, and based on BeiDou satellite navigation. The specific settings and functions of each architecture layer are as follows: 3.11 Human Layer: After the driver enters the driver's seat, the system automatically starts, with the human-side integrated perception module entering working mode first: the multimodal alcohol detection unit simultaneously collects information on the driver's sweat alcohol content and the evaporation of alcohol particles in the vehicle's air, completing a non-intrusive initial screening. If the initial screening data exceeds the judgment threshold, a breathalyzer test is automatically triggered for a second, more accurate determination of the driver's drinking status; the EEG monitoring unit simultaneously collects the driver's EEG signals to monitor their mental state in real time; the comprehensive physiological sign collection unit collects physiological data such as heart rate and blood pressure in real time; and the facial and limb fatigue recognition unit captures the driver's facial and limb movements in real time to determine fatigue status. Each monitoring unit transmits the real-time collected data synchronously to the vehicle-side execution and control module, and simultaneously uploads it to the cloud storage and traceability module for encrypted archiving; the BeiDou and low-altitude satellite collaborative module continuously provides the system with accurate positioning and timing services, while the roadside collaborative assistance module synchronizes surrounding road condition information in real time. The vehicle-side execution control module comprehensively analyzes all received data. If the driver's blood alcohol content is determined to be above the legal limit, a vehicle start restriction command is immediately executed without locking the vehicle; all other functions within the vehicle remain operational. If the driver is found to be mentally incapacitated, exhibiting physiological abnormalities, or driving while fatigued, a real-time warning is issued, achieving proactive prevention of driving safety at the source. The system includes a driver physiological state monitoring unit and an extended EEG monitoring unit. The alcohol detection unit is the core module, collecting real-time data on the driver's blood alcohol concentration to determine if drunk driving has occurred. The physiological state monitoring unit simultaneously collects information on the driver's facial expressions and body movements to identify abnormal states such as fatigue and inattention. The optional EEG monitoring unit collects the driver's brain signals to assist in assessing the driver's state of consciousness. All monitoring data is uploaded in real-time to the vehicle's core processing unit, providing raw data support for issuing vehicle control commands and achieving comprehensive control over the driver's condition.

[0018] 3.12 Vehicle Layer: This layer serves as the core for system command execution and local control, equipped with a Level 3 autonomous driving vehicle control module, a high-safety-level algorithm module, and a vehicle power management module. The vehicle control module receives human-level perception data and performs data fusion analysis and decision processing through the algorithm module. It strictly enforces the drunk driving control logic: when the alcohol test result is above the legal limit, it only prohibits the vehicle from starting, without locking the vehicle, and simultaneously activates the vehicle warning unit to issue an audible and visual warning. In Level 3 autonomous driving mode, it adjusts the vehicle's driving strategy in real time based on driving status data, cooperating with autonomous driving functions to achieve lane keeping, dynamic obstacle avoidance, and other operations. Simultaneously, it uploads the vehicle's operating status and drunk driving test results to the cloud and roadside equipment, making it the local execution core of the entire system.

[0019] 3.13 Road Layer: This is the vehicle-road cooperative interaction layer. Through the C-V2X vehicle-road cooperative communication unit, it enables real-time data interaction between vehicles and roadside infrastructure. It receives drunk driving warnings and vehicle driving status information uploaded by the vehicle layer, and simultaneously sends real-time roadside data such as road congestion, road condition risks, and traffic control to the vehicle layer. This assists the vehicle layer in optimizing L3-level autonomous driving decisions, establishes a two-way information interaction channel between vehicles and roads, improves the real-time performance and safety of vehicle driving and risk management, and realizes information collaboration and joint control between vehicles and roads.

[0020] 3.14 Cloud Layer: This layer serves as the system's data storage and remote management layer. It employs national cryptographic encryption technology to build a secure data storage platform. It is responsible for receiving and encrypting driver status data, vehicle operation data, and drunk driving control records uploaded from the vehicle layer, ensuring permanent data retention and traceability. Simultaneously, it supports remote data retrieval from the backend management terminal, enabling remote monitoring of vehicle operation status and drunk driving behavior, ensuring the security and confidentiality of data transmission and storage, and eliminating the risk of data leakage and tampering.

[0021] 3.15 Sky Layer: This layer serves as the high-precision spatiotemporal reference support for the system. Relying on the BeiDou Navigation Satellite System, it establishes satellite signal receiving and positioning units. It provides all-weather, high-precision positioning, speed measurement, and timing services to the vehicle, road, and cloud layers, ensuring the time synchronization and location accuracy of vehicle-road cooperative data transmission. This provides a reliable spatiotemporal reference guarantee for L3-level autonomous driving path planning, real-time vehicle positioning, and drunk driving control data tracing, achieving integrated space-ground data collaboration.

[0022] 3.16 This architecture achieves deep collaboration across five levels: people, vehicles, roads, cloud, and sky. With driver drunk driving prevention as its core focus, it integrates L3 autonomous driving, BeiDou satellite navigation, and vehicle-road cooperative technologies to realize closed-loop management of the entire process, including driver status monitoring, active vehicle control, vehicle-road information interaction, secure data storage, and high-precision positioning. Unlike traditional single vehicle-road-cloud architectures, it comprehensively enhances the safety and control capabilities of intelligent vehicle systems. 3.2 Driver Risk Control Module

[0023] This system employs a dual-dimensional distributed EEG deployment scheme. The driver's EEG detection unit is specifically installed in the steering wheel grip area and the interior of the roof directly opposite the driver's head, monitoring the driver's physiological health status, fatigue level, and level of consciousness in real time. It is linked to a fatigue driving classification intervention mechanism, issuing warnings when the driver's consciousness is impaired or reaction is slow. The rear passenger and occupant EEG detection units are deployed in the seat headrests and inside the doors, specifically monitoring the occupants' consciousness tendencies and thought processes, identifying abnormal operating intentions and potential risks. Simultaneously, a multilingual voice recognition module is integrated to monitor in-vehicle conversations in real time, accurately identifying illegal, abnormal, and safety-related sensitive words, achieving dual monitoring of consciousness and voice, and providing multi-dimensional perception data support for active vehicle safety management. Alcohol verification mechanism

[0024] The alcohol detection unit of this system adopts a two-stage detection architecture of multimodal non-contact initial screening + breathalyzer secondary verification to achieve accurate and reliable drunk driving determination:

[0025] - Seamless initial screening stage: Integrating sweat alcohol sensor and ambient air particle alcohol sensor, it collects real-time samples of volatile sweat from the driver's hand skin surface and local air samples inside the vehicle to quickly screen the alcohol concentration and make a preliminary judgment on whether drinking behavior has occurred. - Breath test stage: If the initial screening result triggers the warning threshold, the system will automatically start the breathalyzer to collect the driver's exhaled breath sample and conduct a second accurate verification based on 20mg / 100mL as the judgment standard. - Control Execution: After a second verification confirms that the alcohol level exceeds the limit, the system executes the core control logic—only restricting the vehicle from starting, without locking the vehicle, thus achieving a rigid interception of drunk driving while avoiding mandatory restrictions on normal vehicle use. 3.3 Level 3 Vehicle Management Module

[0026] This system's vehicle management capabilities meet the L3 level autonomous driving standard, enabling driver assistance without human intervention in all scenarios and road sections. It can perform autonomous decision-making in complex road conditions, dynamic following, autonomous lane changing and overtaking, emergency route planning, and autonomous handling of emergencies without requiring active driver intervention.

[0027] The system relies on a dual-mode fusion architecture of BeiDou + C-V2X to achieve vehicle-to-vehicle (V2V) interconnection, vehicle-to-machine (V2V) full-domain interconnection and interoperability, and vehicle-to-infrastructure (V2I) full-domain collaboration. It supports encrypted voice calls and communication functions between vehicles and can complete real-time data interaction, risk warning, and driving collaboration with vehicles in front, behind, and to the sides, roadside facilities, and cloud platforms. At the same time, it enables vehicles to perceive the surrounding traffic environment, road conditions, risks, and vehicle status in collaboration with the roadside environment and vehicle-to-infrastructure, forming a closed-loop management and control system for vehicle-to-infrastructure and vehicle-to-vehicle collaboration. Core interactive data is transmitted through BeiDou satellites and directly connected and interacted locally via C-V2X without relying on terrestrial networks. The two complement each other and have no command conflicts.

[0028] The vehicle's underlying control is independent of the original vehicle system and has the highest management authority. It can autonomously adjust the power, chassis, and braking systems, and has the ability to prevent malicious acceleration, malicious collisions, and actively intervene in cases of vehicle loss of control, thus ensuring driving safety. 3.4 C-V2X Omni-channel Communication + BeiDou Dual-mode Fusion Interface Module

[0029] It features a dedicated integrated C-V2X vehicle communication unit and a BeiDou dual-mode interface, supporting five-dimensional full-scenario communication including V2V (vehicle-to-vehicle), V2I (vehicle-to-infrastructure), V2P (vehicle-to-person), V2N (vehicle-to-cloud), and V2S (vehicle-to-sky). Through standardized hardware interfaces, it seamlessly integrates with the system's core algorithms, enabling bidirectional data transmission, synchronous calibration, and automatic link switching between BeiDou and C-V2X. In the absence of a terrestrial network, it can achieve autonomous interaction between vehicles through direct V2X communication, and complete collaborative driving with BeiDou positioning, fully supporting the full-domain interaction requirements of L4-level autonomous driving. The dual-mode interface adopts a physical-level isolation design, completely eliminating communication conflicts, data conflicts, and command conflicts, ensuring efficient synchronous operation of dual-mode data. 3.5 Road Network Collaboration and Cloud-Based Confidential Module

[0030] The road network coordination module relies on the BeiDou space-based link + C-V2X direct communication to realize emergency control of traffic lights nationwide, opening of green channels for rescue, traffic flow guidance across the entire region, and real-time early warning of road risks, and seamlessly connects with the traffic control system.

[0031] The cloud platform adopts a 7+2 fully distributed operation hub, namely seven core operation hubs plus two national-level disaster recovery centers. In the event of a failure of the main hub, the disaster recovery center can take over seamlessly. It is equipped with a 5+1 ultra-high-density confidential redundant storage system, which realizes four levels of conventional encryption plus one level of confidential physical backup, blockchain full-process evidence storage, Beidou + C-V2X dual-mode interactive data and vehicle operation data are synchronously encrypted and stored, and the data cannot be tampered with or deleted. The security level meets the high security standard. 3.6 BeiDou Space-Based Closed-Loop Module

[0032] The system completely blocks GPS and third-party positioning signals, relying entirely on BeiDou satellites for positioning, communication, data transmission, and command issuance, fully leveraging the value of BeiDou satellite resources and avoiding resource idleness; it has offline centimeter-level positioning capabilities, and can still achieve constant and accurate positioning and vehicle coordination in scenarios without satellite signals, such as tunnels and mountain obstructions, through offline algorithms + C-V2X direct connection interaction, and the system can operate uninterruptedly in extreme scenarios. 3.7 System Operation Flow

[0033] System power-on initialization → Full module self-test and BeiDou link handshake → C-V2X communication link establishment → BeiDou + C-V2X dual-mode interface calibration → Driver status monitoring start-up → Alcohol initial screening and secondary verification → Entering L4 level autonomous driving mode → Five-dimensional data fusion and dual-path data real-time calculation → Vehicle-to-vehicle / vehicle-to-infrastructure / cloud full-domain interaction → Risk classification control execution → Extreme scenario emergency mechanism activation → Offline mode autonomous operation. Beneficial effects

[0034] 1. Drunk driving prevention and control is more humane, balancing safety and user experience. This invention breaks through the traditional "car locking" logic of drunk driving control. It adopts a control method that only restricts vehicle starting when the alcohol level exceeds the limit, without locking the vehicle. This achieves both rigid interception of drunk driving and avoids mandatory restrictions on normal vehicle use, balancing safety control and user convenience, and reducing the risk of control conflicts.

[0035] 2. The collaborative architecture of people, vehicles, roads, cloud, and sky significantly improves system reliability. By combining BeiDou satellite positioning with C-V2X vehicle-road collaboration in a dual-mode complementary communication system, an integrated space-ground spatiotemporal reference and data interaction system has been established. This solves the problems of inaccurate positioning and communication delay caused by reliance on a single signal source, and provides stable and reliable data support for L3 autonomous driving and drunk driving control decisions.

[0036] 3. Multi-level safety management and control, comprehensively covering driving scenario risks. This invention integrates multiple modules such as driver alcohol detection, physiological state monitoring, vehicle active management, and cloud-based encrypted traceability, forming a closed-loop safety management system from people to vehicles and from roads to the cloud. It enables multi-dimensional identification and graded handling of drunk driving, fatigued driving, and abnormal driving behavior, thereby improving vehicle driving safety.

[0037] 4. Data is encrypted and traceable throughout the entire process, meeting compliance and regulatory requirements. Key data such as driving data, drunk driving test records, and control instructions are stored using national cryptographic encryption throughout the entire process, ensuring that the data is tamper-proof and fully traceable. This not only protects user data security but also provides a reliable basis for traffic supervision and accident tracing, meeting industry compliance and safety management requirements.

[0038] 5. Strong architectural compatibility, adaptable to different levels of autonomous driving scenarios. The human-vehicle-road-cloud-sky collaborative architecture of the present invention can be seamlessly adapted to L3 and above assisted driving systems. It can not only meet the mass production and implementation requirements under current regulations, but also reserve space for subsequent technology upgrades and functional expansion, and has good compatibility and scalability. Attached Figure Description

[0039] Figure 1 The connection relationships and data flow of each module are as follows: 1. The driver risk control module is the core unit of the system. It integrates a multimodal alcohol detection unit, an electroencephalogram (EEG) monitoring unit, a physiological sign acquisition unit, and a facial and limb fatigue recognition unit, which are used to collect and output driver status data.

[0040] 2. The driver risk control module sends the collected status data to the vehicle-side execution control module, and simultaneously uploads the data to the cloud-based data storage and traceability module.

[0041] 3. The vehicle-side execution control module receives data from the driver risk control module and executes the corresponding control logic. The core logic is "when the alcohol level exceeds the limit, only the vehicle start is restricted, and the vehicle is not locked."

[0042] 4. The BeiDou + C-V2X dual-mode interactive system provides positioning, timing and roadside information interaction support for the vehicle-side execution control module, and realizes vehicle-road cooperative data transmission.

[0043] 5. The operational data of the Beidou + C-V2X dual-mode interactive system and the vehicle-side execution control module are ultimately uploaded synchronously to the cloud data storage and traceability module to achieve encrypted archiving and full traceability of the data.

[0044] 6. The accompanying drawing clearly shows the hierarchical structure, module composition, and data flow of the system, which corresponds completely to the technical solution described in the claims and specification.

[0045] High-security algorithm code and logic (including BeiDou + C-V2X dual-mode docking + full interface code): / / Integrated Management of People, Vehicles, Roads, Cloud, and Sky—Pre-emptive Risk Control for Drivers BEGIN / / 1. System power-on initialization System_Initialization() { BeiDou module provides real-time timing and positioning; V2X vehicle-to-infrastructure communication enters standby communication; The driver risk control module continuously collects data; Vehicle-side control defaults to allow passage. } / / 2. All data from the user terminal is collected synchronously. The vehicle was not turned off. { Alcohol_Data = Collects multimodal alcohol data BrainWave_Data = Collecting brainwave states Body_Data = Collects heart rate and blood pressure vital signs Fatigue_Data = Identifying facial and limb fatigue states / / All data is aggregated and judged uniformly Driver_State = Fusion(Alcohol_Data,BrainWave_Data,Body_Data,Fatigue_Data) } / / 3. Core of the Judgment Logic IF Alcohol_Data>Preset Threshold { Issued an order to prohibit vehicles from starting Do not lock the entire vehicle Risk control data is synchronized bidirectionally to the cloud and via V2X roadside. } ELSE IF abnormal signs || Excessive fatigue || Disordered EEG { Tiered early warning prompts Normal vehicle start permission is retained Data archiving and retention } ELSE { The vehicle maintains normal driving rights. } / / 4. Seamless uploading across Sky, Road, and Cloud Cloud_Save(Driver_State, Location Information, Management Records) Beidou_TimeSync() V2X_RealTime_Share() / / ......

Claims

1. A comprehensive closed-loop management and control system and method integrating people, vehicles, roads, clouds, and sky, developed based on "people" as the fundamental element, characterized by: It includes a human-end integrated perception module, a vehicle-end execution and control module, a road-end collaborative assistance module, a cloud storage and traceability module, and a space-level Beidou and low-orbit satellite collaborative module; the overall architecture takes the human-end integrated perception module as the fundamental core of prevention and control, and the other modules cooperate with each other to form a complete collaborative operation system.

2. The system according to claim 1, characterized in that: The human-end integrated perception module is the core source of patent rights confirmation. It includes a multimodal alcohol detection unit, an electroencephalogram (EEG) monitoring unit, a comprehensive physiological sign collection unit, and a facial and limb fatigue recognition unit. It can simultaneously complete a comprehensive screening of a driver's drunk driving risk, physical signs, and fatigue status.

3. The system according to claim 2, characterized in that: The multimodal alcohol detection unit combines skin sweat alcohol collection, in-vehicle air alcohol particle evaporation detection, and non-contact long-distance initial screening. If the initial screening is abnormal, it will automatically start a precise second verification by blowing a breathalyzer. It can accurately identify and regulate dangerous behaviors related to drunk driving by setting a fixed judgment threshold.

4. The system according to claim 2, characterized in that: The brainwave monitoring unit collects the driver's brainwave signals in real time, accurately detects the clarity of consciousness, mental inattention, drowsiness, absent-mindedness, thinking state, and operational risk tendency, and can judge the driver's mental state in real time and avoid potential driving hazards in advance.

5. The system according to claim 2, characterized in that: The comprehensive physiological sign collection unit monitors the driver's heart rate, blood pressure fluctuations, emotional stress, and abnormal physical changes in real time, allowing for real-time monitoring of the driver's various physical signs and physical and mental health status.

6. The system according to claim 2, characterized in that: The facial and limb fatigue recognition unit can identify eyelid opening and closing, yawning, abnormal facial expressions and limb movements, and absent-minded fatigue, and can accurately determine the driver's current state of fatigue driving.

7. The system according to claim 1, characterized in that: The vehicle-side execution control module is equipped with dedicated control logic; When the alcohol test result exceeds the legal limit, only the vehicle is restricted from starting; the entire vehicle is not locked. The focus is on interception at the source, without mandatory termination intervention. The safety hazards caused by drunk driving are avoided from the source through reasonable management methods.

8. The system according to claim 1, characterized in that: The roadside collaborative assistance module is used for road condition interaction and risk warning; the cloud storage traceability module is used for data encryption, archiving and full traceability; the sky layer relies on Beidou and low-orbit satellites to complete positioning and timing signal support; multiple modules work together to achieve integrated closed-loop operation and management of the entire system.

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