215 results about "Active security" patented technology

The invention relates to the technical field of intelligent monitoring of engineering hoisting, in particular to an intelligent monitoring system for an overweight segmented hoisting process based on BIM (Building Information Modeling) and force feedback, which comprises a data synchronization module, a state fusion module, a BIM matching module, a track optimization module and a simulation monitoring module. The system obtains a hoisting state through multi-source sensing data, matches a BIM fine model, and generates a theoretical motion track. And the trajectory optimization module generates a force feedback deviation field by comparing expected force feedback data with actual force feedback data, reversely corrects a theoretical trajectory, and realizes dynamic path optimization based on a mechanical state. And the simulation monitoring module drives virtual simulation according to the optimized trajectory, updates the posture of the BIM model in real time, dynamically calculates an interference area, performs risk assessment, and automatically generates and issues a control instruction. According to the scheme, the response precision and the active safety control capability of the hoisting process to the physical state change are improved.

The invention relates to a safety protection method based on dynamic monitoring of circulating flow of heat source equipment. The method comprises the following steps: collecting pipeline pressure data, circulating water flow data and circulating water temperature data in a circulating pipeline of heat source equipment through a multi-source sensor; inputting the circulation pipeline data into a preset heat source equipment state model to perform working condition evaluation so as to generate an equipment working condition report; performing fault feature extraction on the equipment working condition report, and identifying an abnormal operation mode according to the extracted fault features; in response to the identified abnormal operation mode, determining a fault type matched with the abnormal operation mode according to a preset fault type library; and based on the determined fault type, generating a corresponding control instruction by using a preset risk-instruction mapping rule. According to the invention, real-time monitoring of the operation state of the heat source equipment, automatic identification of abnormal modes and active safety protection control are realized.

The invention relates to the field of industrial safety monitoring, provides a real-time risk identification and active safety control method and system for industrial operating personnel in order to improve the accuracy and efficiency of a safety monitoring technology, and realizes real-time acquisition and edge preprocessing of human-machine-environment data by integrating a physiological / environmental / equipment multi-mode sensor. An FPN network is utilized to fuse spatial-temporal characteristics, Temporal-PC causal inference and a GBDT integration algorithm are combined, an interpretable risk propagation model is constructed, risk indexes are calculated, three-level early warning is divided, and hierarchical intervention is executed for different risk levels, including local early warning, environment regulation and control, emergency evacuation and multi-department emergency linkage. Through LSTM trend prediction and reinforcement learning dynamic parameter adjustment, closed-loop optimization of an intervention strategy is realized, the problems of information splitting, response lag and the like of a traditional monitoring system are solved, the risk identification precision and emergency disposal efficiency of a chemical high-risk scene are remarkably improved, and the method is suitable for operation safety control in high-temperature, high-pressure, toxic and harmful environments.

The invention relates to an automobile windshield shelter removing method and system and an automobile, and belongs to the technical field of automobile active safety. The method comprises the steps that the surface of the windshield is monitored through a vehicle-mounted camera; when a shielding object is identified, calculating a view shielding coefficient based on the area, the position, the light transmittance and the type of the shielding object, and determining an initial influence level according to the view shielding coefficient; corresponding cleaning strategies are executed according to the influence levels, windscreen wiper cleaning is started at the low level, pneumatic suction generated by vehicle intersection is used for cleaning at the middle level, and negative-pressure airflow cleaning is induced through dynamic opening of a skylight at the high level; if the shielding is not removed, the influence level is increased step by step, and circulation execution is carried out until the shielding is removed or automatic parking is triggered. According to the method, grading, closed-loop and non-contact intelligent removal of different types of sheltering objects is achieved, and invalid or even harmful operation of a traditional windscreen wiper in a dry sheltering scene is effectively avoided.

The invention relates to the technical field of data transmission, and discloses a gas meter information secure transmission method based on response function compensation, which comprises the following steps: collecting multi-source data and network signal quality information of a gas meter; according to a real-time network environment and physical conditions, data transmission parameters are dynamically adjusted through a response function compensation algorithm, when data transmission in a static time slot fails, a dynamic retransmission time slot is automatically allocated for retransmission, a retransmission frequency threshold value is set, and packet loss caused by channel errors or collision is compensated through a retransmission response function; a multi-layer encryption mechanism is adopted to encrypt transmission data, an optimal transmission channel is intelligently selected according to network conditions, adaptive hybrid communication is performed through star flash short-distance communication or Wi-Fi wide-area transmission, and a response compensation mechanism of multi-dimensional environmental parameters is established based on a signal transmission model; transmitting the encrypted data to a monitoring management platform through a secure channel; therefore, safety early warning decision is realized, and dynamic accurate transmission and active safety protection are realized.

The invention belongs to the technical field of automobile seats, and provides a zero-gravity seat protection method and system based on collision risk prejudgment and application, and the method comprises the steps: monitoring collision risk information and vehicle state information in real time, carrying out the fusion processing of the collision risk information and the vehicle state information, carrying out the collision risk prejudgment, and generating an early warning signal when a judgment result meets any preset collision triggering condition; multiple zero-gravity seat active safety protection actions are executed in a millisecond level in parallel or under condition triggering, so that a seat backrest is reset to a safety protection posture from a zero-gravity posture through a synergistic effect, cooperative fixing of the posture of a passenger is synchronously completed, and the zero-gravity seat active safety protection actions are completed within 200 milliseconds; and when it is detected that the angle of the seat backrest reaches the target angle, the dual self-locking function is triggered, and locking of the seat backrest is completed. According to the invention, millisecond man-machine cooperation zero-gravity seat active safety protection can be carried out based on prospective collision risk pre-judgment, and the method has the advantages of low cost, high reliability and low false triggering rate.

The invention discloses an intelligent operation and maintenance management system for a distributed photovoltaic project, and relates to the technical field of project operation and maintenance management. 18 types of sensing terminals are deployed, 5G + LoRa networking is adopted, millisecond-level snapshot is carried out when abnormity occurs, and data are uploaded after being processed by edge nodes; the digital twin operation and maintenance center constructs a 1: 1 holographic model, maps the equipment state in real time, and simulates the fault condition; the adaptive evolution fault diagnosis module fuses multi-source data to generate a fault tree; the dynamic scheduling module integrates resources to generate an order dispatching scheme and supports unmanned aerial vehicle inspection; the energy efficiency self-adaptive optimization module is linked with energy storage peak regulation and optimizes an MPPT strategy; and the active safety protection module quickly disposes and gives an alarm when detecting abnormity. The method improves the operation and maintenance efficiency and the power generation efficiency of the photovoltaic project, reduces the cost, guarantees the safety, excavates the comprehensive value, and is suitable for various distributed photovoltaic projects.

The invention relates to the technical field of industrial internet, in particular to a control system and method for stirrer production. Comprising an edge data preprocessing unit, a flexible production instruction distribution unit and a working condition diagnosis and protection control unit. By constructing an integrated control parameter mapping model, an industrial operation signal is converted into a collaborative sensing digital primitive; the production task is compiled into an intelligent production execution process cluster based on a resource scheduling algorithm, and equipment is driven to execute differentiated production; and performing situation assessment on the digital primitives by using the anomaly detection model, and generating a regulation and control instruction to execute process logic recombination and safety protection. According to the invention, the problems of low production information integration level and tight data in each link of a production control system are solved, and flexible scheduling and active security defense in the production process are realized.

The invention provides an emergency call system, method and device based on AI vision and a storage medium, and relates to the technical field of active safety of intelligent network connection automobiles. The system comprises a camera module, a DMS module, an OMS module, an AI vision algorithm module, an AI vision application module and an eCall application module which work cooperatively. Aiming at the three defects that a traditional emergency call system depends on collision triggering, data dimensions are deficient and active protection is absent, DMS and OMS are innovatively and deeply integrated with the emergency call system, a multi-modal fusion decision mechanism is realized in combination with a layered AI visual architecture, and through deep cooperation of camera shooting, DMS, OMS, AI visual algorithm, AI visual application and an eCall application module, the multi-modal fusion decision mechanism of the emergency call system is realized. A full-link intelligent safety closed loop of sensing, decision making, control and rescue is constructed, early recognition, active intervention and accurate rescue of sudden diseases of drivers, serious fatigue disability and emergency physiological events of passengers are achieved, and meanwhile the rescue quality of collision accidents is improved.

The invention relates to the technical field of electrochemical energy storage safety, particularly discloses a multistage thermal runaway protection and AI early warning method for an energy storage system, and aims to solve the problems that traditional early warning depends on macroscopic signal lag, single-mode misinformation is high, and a protection strategy is rigid. According to the method, thermal state data are collected through a multi-modal monitoring system, core features are extracted after the data are preprocessed, global feature vectors are generated through weighted fusion, a CNN-LSTM hybrid model is input to predict normal, slight thermal runaway risks, moderate thermal runaway risks, severe thermal runaway risks and the risk level of thermal runaway, and the risk level of thermal runaway is calculated. Dynamically triggering grading protection based on the risk grade; early early warning and accurate gradient intervention of thermal runaway are achieved, and the active safety protection capacity of the energy storage system is remarkably improved.

The invention relates to the technical field of switch cabinet state monitoring, in particular to an intelligent switch cabinet anti-explosion abnormity monitoring method and system, and the system comprises a data collection module, a data storage and management module, a correlation analysis module, a time sequence prediction module, a risk assessment and early warning module, a communication interface module and a man-machine interaction module. According to the invention, by setting a multi-source sensing and intelligent analysis integrated monitoring architecture, early prediction and accurate diagnosis of the fire blast risk of the switch cabinet are realized, the contribution weight of each inducement parameter to a fault result is quantified through a dynamic correlation analysis algorithm, and a time sequence prediction model is introduced to establish an advanced early warning mechanism of parameter change, so that the early warning of the fire blast risk of the switch cabinet is realized. According to the method, when direct fault indexes such as temperature and gas concentration do not exceed the standard, a potential fault development path can be recognized in advance by analyzing the change trend of incentive parameters such as current and voltage, so that an accident handling mode is converted from post-remedy to pre-prevention, and the active safety guarantee capability of operation of the switch cabinet is improved.

The invention discloses an unmanned aerial vehicle nest full life cycle management and control method, system, product and device, and relates to the field of unmanned aerial vehicle nests, and the method comprises the steps: employing a bidirectional access mechanism to carry out the bidirectional validity verification of an unmanned aerial vehicle and a nest, and generating an access safety certificate; integrating multi-dimensional data through edge computing nodes, and constructing a visual relation model and a dynamic behavior monitoring model; carrying out real-time risk identification and early warning by adopting a multi-dimensional feature fusion anomaly detection algorithm; the digital twinning technology is utilized to fuse aircraft nest operation data, and predictive maintenance is achieved through a life prediction model; and safely erasing the sensitive data of the equipment and cancelling the voucher to form a management closed loop. Through a bidirectional access mechanism, multi-dimensional anomaly detection, predictive maintenance and safe decommissioning processing, full-link active safety protection from access, operation, maintenance to decommissioning is realized, the safety and reliability of a machine nest system are improved, and the system can be applied to complex scenes with strict safety requirements such as electric power inspection.

The invention is suitable for the field of data transmission interaction, and provides a server data security interaction method and system, and the method comprises the following steps: continuously collecting multi-dimensional time sequence data when a mobile client interacts with a server, and carrying out the fusion to construct a behavior track trust model; acquiring a data point and additional data of the current session, calculating a deviation degree between the data point and the trajectory trust model, and integrating the additional data to perform weighted fusion to obtain a risk confidence score of the current session; dynamically selecting a corresponding verification mechanism from a verification strategy library according to the risk confidence score, and generating a verification strategy instruction; and receiving and executing the verification strategy instruction, recording verification process data of an operator, and feeding back the verification process data. According to the invention, continuous and non-interference active safety protection is carried out on the identity of the mobile client operator in the whole session life cycle.

The invention discloses an active defense security control method for a hidden false data injection attack, and relates to the field of information physical system security control, in particular to an active defense security control method. The invention aims to solve the problem that the existing detection method can encrypt a transmitted signal, but is limited to detection of a specific type of attack, or dynamic coupling changing the configuration of a control system can increase the burden of a state estimator, and even causes the performance reduction of the system. The method comprises the following steps of: 1, acquiring output feedback gains of the information physical system under different switching signals; and 2, based on the output feedback control gain obtained in the step 1, performing active attack detection and positioning on the FDI attack, and when the attack is detected and positioned, performing active switching by a controller of the information physical system so as to construct an active security controller aiming at the FDI attack.

1. The name of the design product: the graphical user interface of the active safety early warning display of the electronic device. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the part of the graphical user interface in the electronic device is claimed. 4. The picture or photo that best shows the design points: design 1 front view. 5. The other views of design 1-design 3 are conventional designs, and the other views of design 1-design 3 are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: the product interface of design 1-design 3 is the display and interaction interface of active safety early warning, which is used for battery health early warning of energy storage system. 8. The human-computer interaction mode of the graphical user interface: all early warning labels of the battery are displayed in real time above the design 1 front view, and different colors represent the current state of the early warning label; the early warning information list of the current energy storage system is displayed in real time below the design 1 front view, including the name, type, level, occurrence location, occurrence time, etc. of the early warning; the query bar is set above the early warning information list of the design 1 front view, which can filter the corresponding early warning according to the conditions; in the design 1 front view, after clicking any detail button, the interface change state diagram is displayed; in the design 2 front view, after clicking one or more check boxes in front of the early warning information and clicking the batch release button, the interface change state diagram is displayed, and in the interface change state diagram, after clicking the confirm button, the released early warning information is moved to the history record; in the design 3 front view, after clicking the history record page, the interface state change diagram is displayed, which is used to display the historical early warning information of the energy storage system, including the name, type, level, occurrence location, occurrence time, recovery time, etc. of the early warning.

A system of one embodiment that provides proactive security policy suggestions for applications based on the applications' software composition and runtime behavior. The system includes a memory and a processor. The system is operable to access data that represents one or more features of an application. The application is running on one or more nodes in a computer network, and a feature indicates an application library of the node. The system is operable to apply a clustering algorithm to the data to generate a plurality of cluster sets. The system is operable to determine a security policy to apply to a cluster set of the plurality of cluster sets and apply the security policy to an application whose features are represented by the data in the cluster set.

The application provides a kind of active safety control method and device of vehicle.When dangerous target appears in front of the vehicle, the active safety control method includes: according to whether brake system and AEB module have fault, AEB fault condition is set to allow triggering or prohibit triggering;According to whether steering system and AES module have fault, AES fault condition is set to allow triggering or prohibit triggering;According to the vehicle speed of the vehicle, AEB speed condition is set to allow triggering or prohibit triggering, and AES speed condition is set to allow triggering or prohibit triggering;According to TTB_limit, TTB_trigger, TTT_limit, TTT_trigger and collision time, AEB collision time condition is set to allow triggering or prohibit triggering, and AES collision time condition is set to allow triggering or prohibit triggering;When multiple AEB conditions are all allowed to trigger, the AEB module can be triggered to execute AEB function;When multiple AES conditions are all allowed to trigger, the AES module can be triggered to execute AES function.In this way, the triggering of active safety function is accurate and safe, and the connection between functions is smooth.

The invention provides a method and device for safely driving a vehicle, a storage medium and a computer program, and relates to the technical field of automobile active safety. The method comprises the steps of collecting an image of a foot area of a driver; identifying a shoe type, a shoelace state and a foot pad state of the driver based on the image; when the shoe type of the driver does not conform to any one or more of the preset shoe type, the shoelace state does not meet the first preset state and the foot pad state does not meet the second preset state, it is determined that the vehicle is in the non-safe driving state; generating first reminding information, wherein the first reminding information is used for reminding a driver that the vehicle is in the non-safe driving state. According to the method, whether the shoe type of the foot area of the driver is compliant or not and whether the shoelace state and the foot pad state meet the preset requirements or not can be detected, the driver is reminded in time when potential safety hazards exist, and sudden risks such as pedal control interference and braking delay caused by the potential safety hazards of the foot area are effectively avoided; and the life and property safety of drivers and passengers and road participants is ensured.

A device establishes a first encrypted tunnel with a first active security gateway at a first data center to enable the device to communicate, via the first encrypted tunnel, with a first access and mobility management function (AMF) at the first data center. The device forwards, via the first encrypted tunnel and the first active security gateway, a first User Equipment device (UE) message to the first AMF. The device determines an occurrence of a failure or overload condition at the first active security gateway, and establishes, based on the determined occurrence of the failure or overload condition, a second encrypted tunnel with a standby security gateway at a second data center to enable the device to communicate, via the second encrypted tunnel, with the first AMF. The device forwards, via the second encrypted tunnel and the standby security gateway, at least one second UE message to the first AMF.

The invention provides a multi-sensor fusion mountainous area multi-machine lifting power failure early warning method and system, and relates to the technical field of data fusion, and the method comprises the steps: 1, carrying out the coordinate transformation of fused three-dimensional environment perception data, obtaining the environment configuration data under global coordinates, carrying out the kinematics parameter extraction of the environment configuration data, and obtaining the kinematics parameters of the environment configuration data; constructing a dynamic monitoring plane; and 2, in the dynamic monitoring plane, taking the top end of a lifting hook of a corresponding crane, a middle section joint of a lifting arm and the center of a rotary platform as three space positioning calibration points, solving equation parameters of a space circle passing through the three space positioning calibration points, and establishing a space circle geometric structure by taking the circle center of the corresponding space circle as a reference center. Through multi-sensor fusion sensing and dynamic data processing, accurate control over the multi-machine lifting environment and the crane state in the mountainous area is achieved, a reliable basis is provided for collision risk judgment, and active safety of the multi-machine lifting operation in the mountainous area is effectively guaranteed.

The invention relates to the technical field of information security, and discloses a multi-system single sign-on security management method and system, a storage medium and equipment, and the method comprises the steps: building a deep integration architecture between a directory service and an identity management server, and achieving the bidirectional synchronization of user attributes and security policies; a unified multi-factor authentication process and a security defense strategy are configured in the identity management server; by implementing password expiration risk assessment, multi-channel reminding and password self-service modification service, intelligent password life cycle active management is realized; intelligent account locking and self-adaptive unlocking based on multiple factors are implemented, and differentiated locking duration is dynamically calculated and executed; a cross-system unified session management and cooperative control mechanism is established, session anomaly real-time detection and scoring are performed through multi-dimensional feature fusion, one-point logout of global failure is realized, cross-system unified authentication, active security protection and cooperative management and control are realized, and the security and operation and maintenance efficiency of enterprise identity management are remarkably improved.

The invention relates to the technical field of smart home security, in particular to a visual doorbell active security scenarized alarm live broadcast method, which comprises the following steps: scene triggering, multi-terminal scenarized notification, user interaction response, danger judgment and conventional interaction ending if no danger exists. If danger exists, active expelling control is executed; alarm live broadcast is started; evidence solidification and feedback are carried out; according to the invention, alarm live broadcast is realized by innovatively combining with a conference: during alarm, on-site videos, position codes and interactive records are automatically synchronized to the conference, real-time check by multiple parties (police, family members, property management and the like) is supported, and the police can intuitively judge the danger level (such as whether an instrument is held or not and whether a door is broken or not) and accurately deploy police strength; and meanwhile, videos and voices in the whole process are automatically recorded and stored, so that a complete evidence chain of'triggering-interaction-expelling-alarming 'is formed. According to the linkage mode, the police decision-making time can be shortened by 50%, the evidence effectiveness is improved by 90%, and the pain points of information lag and evidence fragmentation of traditional alarm are solved.

A method, device, vehicle, and storage medium for tire blowout control of a vehicle are disclosed, relating to the field of active safety technology for automobiles. The method includes: acquiring the vehicle's current state information and tire blowout information; adjusting the current state information based on the tire blowout information to obtain tire blowout state information after the blowout, wherein the tire blowout state information includes the actual yaw rate and actual sideslip angle of the vehicle after the blowout; if the vehicle is in an unstable state, acquiring the vehicle's desired yaw rate and desired sideslip angle, and determining a sliding surface control function based on the desired yaw rate, desired sideslip angle, actual yaw rate, and actual sideslip angle; determining a balancing yaw moment based on the sliding surface control function, and controlling the non-blowout wheels based on the balancing yaw moment and the tire blowout information. This application controls the vehicle based on the corrected state information, improving the accuracy of tire blowout control.

The application relates to the technical field of intelligent compact shelves, and discloses an intelligent compact shelf with initiative safety protection, which comprises a compact shelf body, a control module, a display screen, a pulley, a guide rail and a floor. The control module is fixedly installed at the top of the compact shelf body, the display screen is arranged on the front of the compact shelf body, the pulley is movably installed at the bottom of the compact shelf body, the inside of the guide rail is slidably connected with the bottom of the pulley, and the top of the floor is inlaidly installed with the guide rail. Through the arrangement of the horizontal detection assembly, when the compact shelf body slightly inclines during the operation of the pulley on the guide rail, the balance cylinder at the bottom of the receiving frame will be inclined, the inclination of the balance cylinder will pull the lead, and the electric bell will ring to warn that the compact shelf has the risk of falling, so that the compact shelf can be detected at any time, the effect of immediate early warning is achieved, and the staff is reminded to timely eliminate the risk and prevent the risk from occurring.

The invention discloses a lightning protection intelligent online monitoring system and method based on multi-source information fusion, and relates to the technical field of lightning protection. The system adopts a three-layer architecture of an equipment layer, a communication layer and an application layer. The equipment layer comprises a lightning early warning device, a lightning current monitoring device, an SPD intelligent monitoring device and a grounding performance monitoring device, and is used for comprehensively collecting data. And the communication layer realizes data protocol conversion and security encryption transmission through an intelligent gateway. And the application layer platform adopts a multi-source data fusion analysis model and a dynamic risk assessment algorithm to realize three-level lightning early warning and predictive maintenance of the health state of the lightning protection facility. The problems that traditional lightning protection monitoring is isolated, lagged and inaccurate are solved, omnibearing and intelligent online monitoring and active safety early warning of a lightning protection system are achieved, and the system is particularly suitable for complex industrial scenes with extremely high safety requirements.

An integrated working environment intelligent sensing and active alarm protection system and method comprises a shell, a power module, a detection module, a controller and a Bluetooth module are arranged in the shell, an alarm lighting module is arranged on one side of the shell, the detection module is connected with the input end of the controller through an A / D module, and the controller is in communication connection with an intelligent terminal through the Bluetooth module. The detection module is connected with the output end of the controller, the alarm lighting module is connected with the output end of the controller, the detection module is used for detecting the external environment, the controller is used for processing information transmitted by the detection module, the Bluetooth module is used for transmitting the detected information to an intelligent terminal, and the alarm lighting module is used for sending out an alarm signal or providing lighting. The power module is used for providing power for the protection device. According to the invention, active safety monitoring and alarm protection of risk factors on a work site can be realized, and dangers are avoided.

The present application relates to the field of hoisting construction, and relates to a compressed air energy storage power station large tank type gas storage hoisting method and system, the method comprising obtaining a gas storage construction basic data set and a multi-dimensional constraint condition; performing global non-conflict scheduling optimization processing according to the gas storage construction basic data set and the multi-dimensional constraint condition, to obtain a non-conflict dynamic scheduling summary table; performing hoisting path planning processing according to the non-conflict dynamic scheduling summary table, to obtain a path set of all hoisting tasks; performing dynamic safety risk assessment processing according to the path set of the hoisting tasks and obtained real-time positioning information, to obtain a three-dimensional dynamic risk area; and performing hoisting operations according to the three-dimensional dynamic risk area and the non-conflict dynamic scheduling summary table, the present application realizes individualized and real-time active safety early warning of personnel and equipment, changes a traditional fixed warning area and a passive security and protection mode of manual lookout, and eliminates a safety management blind area in a three-dimensional intersection operation.

The invention discloses a building talkback intelligent emergency safety center system based on multi-mode perception. The building talkback intelligent emergency safety center system comprises a perception layer, a data processing layer, a decision response layer and a collaboration layer. According to the invention, an active security and protection mechanism integrating real-time monitoring, second-level data processing, dynamic decision making and cross-domain linkage is constructed, so that rapid emergency response within one minute is realized, access control locking can be triggered within 10 seconds in a high-risk scene, alarm pushing and linkage of 110 and medical resources are realized, and the emergency handling efficiency is effectively improved; through multi-mode perception fusion and AI cross validation, environment interference and real risks are effectively distinguished, the false alarm rate is effectively reduced, and the recognition accuracy of events such as falling down and invasion of the old is remarkably improved; and the intercom system is used as a core to seamlessly integrate the elevator, the gas valve and other terminals, data intercommunication and co-processing with community medical treatment, security and other resources are realized, information islands are broken, and the comprehensive security cost of the community is reduced.

The invention relates to the field of vehicle safety management and control, in particular to a vehicle intelligent safety management and control system which comprises a multi-mode perception fusion subsystem for collecting driver and vehicle running state information, a digital twinborn prediction subsystem for constructing a vehicle core component digital twinborn body based on the vehicle running state information and predicting faults, and a vehicle safety management and control subsystem for monitoring the vehicle core component digital twinborn body. An edge computing unit of the edge cloud cooperative computing subsystem executes real-time data processing and local model reasoning, a cloud service cluster executes global model training and data analysis, and the hierarchical active safety control subsystem implements hierarchical risk response according to driver state information and a fault prediction result. The full-link security protection subsystem ensures data security; the multi-modal sensing fusion subsystem is provided with a plurality of sensors and a fusion processing module, the digital twin prediction subsystem is provided with a geometric modeling module and the like, the side cloud cooperative computing subsystem implements a dynamic task unloading strategy, and the hierarchical active safety control subsystem is provided with four risk levels and adopts encrypted communication. The technical effects of comprehensively and accurately performing intelligent safety management and control on the vehicle, ensuring data safety and effectively reducing the vehicle operation risk are achieved.

The invention discloses an autonomous mobile environment adjusting system and method based on layered multi-mode perception and dynamic comfort field coupling. The system adopts a unique layered architecture combining'global perception of a fixed layer 'and'precise perception of a follow-up layer', and the contradiction between global monitoring and local concentration of the service robot is solved. By fusing multi-modal data, the system initiatively generates a'dynamic comfort field 'for guiding actions, and decoupling precise movement and air supply control are achieved. The system can also intelligently cooperate with equipment such as an air conditioner, and the overall energy efficiency is optimized. According to the invention, the design of multi-stage active safety protection and privacy protection is integrated, and a complete, intelligent and reliable solution is provided for indoor personalized comfortable environment adjustment.