493 results about "Safe system" patented technology

Techniques described herein can generate customized, user-based security response recommendations for users of security system(s), such as for security analysts tasked with performing responses to computing security threats. A user-based response recommendation engine can generate the user-based security response recommendations based on incident data associated with security incidents and based on historical user response data. Furthermore, user role inference techniques can optionally be used in conjunction with the user-based response recommendation engine.

The invention relates to an intelligent driving safety system and method based on AI multi-source data fusion. The system comprises an environment modeling sensing module which obtains vehicle end multi-mode sensing data and vehicle size parameters to construct a surrounding environment model, and multi-vehicle environment data of collaborative sensing is formed through vehicle-vehicle communication; the behavior scene generation module analyzes the traffic flow characteristics of the multi-vehicle environment data, calculates the attention weight of the vehicle characteristics, associates the attention weight with the target size information, and generates a unified behavior scene representation. The collision risk judgment module fuses the unified behavior scene representation and the dynamic environment modeling data to generate multi-target fusion trajectory data, and if the uncertainty exceeds a threshold value, a historical database is checked to judge the risk level; and the path planning generation module performs classification according to risk levels and risk levels, and performs matching and speed adjustment instruction integration on the collaborative path optimization instruction to obtain a path planning rule. By adopting the system, the sensing precision, risk response capability and cooperative efficiency of the automatic driving vehicle can be improved, and the driving safety is guaranteed.

The invention relates to the technical field of power grid safety management, in particular to a digital twinning-based power grid control safety system and method.The digital twinning-based power grid control safety system comprises a power grid model unit, an intelligent recognition unit, a strategy making unit and a block chain cooperation unit. The method improves the operation safety and reliability of a power grid, optimizes the resource configuration of the power grid, reduces the energy consumption, provides detailed safety reports and risk assessment for the operation of the power grid, dynamically recognizes potential safety threats and abnormal behaviors, automatically generates a response strategy in real time, improves the overall safety of the system, and improves the safety of the system through the introduction of a block chain technology and the combination with digital twinning. According to the method, transparent information sharing and collaborative management among each level and each region of the power grid are realized, and through decentralized data storage and security guarantee, the power distribution networks in different regions can be ensured to be efficiently collaborative when facing network attacks or faults, and the response efficiency is improved.

The invention relates to safety compliance evaluation, in particular to a safety compliance evaluation system and method based on a multi-modal large model, and a functional module cluster, which are used for managing each functional module in the system, supporting cross-modal consistency detection and comparing answer consistency under different modals. The self-developed security system is responsible for execution of an assessment task, including resistance test enhancement and built-in multi-granularity data variation strategy, improves assessment robustness by simulating a real attack scene, realizes end-to-end automation from data generation, tested model test to risk assessment, supports configurable parameters and reproducible results, and has the advantages of high reliability and high reliability. The self-iteration and version management of the evaluation model are realized, and the self-iteration mechanism is deeply combined with a compliance label system, so that the risk identification capability under legal, ethical and industrial specifications can be continuously optimized; according to the technical scheme provided by the invention, the limitation that evaluation can be carried out only under a single mode and a single rule in the prior art can be effectively overcome.

A safety system for improving road compatibility of a vehicle includes a monitoring system and an integrated safety domain control unit. The monitoring system includes a vehicle external information monitoring module and a vehicle body posture monitoring module. The integrated safety domain control unit is configured to compute a collision condition between the vehicle and an obstacle based on data acquired by the vehicle external information monitoring module and the vehicle body posture monitoring module, the collision condition including a collision relative speed and a collision overlap rate, and determine, based on the collision relative speed and the collision overlap rate, whether to deploy an external airbag. A determination condition for controlling triggering of deployment of the external airbag includes determining whether the collision relative speed is less than a first speed threshold and / or whether the collision overlap rate is less than a first overlap rate threshold. The present disclosure further relates to a safety apparatus and method for improving road compatibility of a vehicle, and a medium, as well as a vehicle safety system, a vehicle safety apparatus, a method for enhancing safety of a vehicle, and a readable storage medium.

The invention discloses an electric motorcycle intelligent safety control system based on multi-sensor fusion. The system comprises a sensor module, a data processing unit, a target detection and classification module, a danger level evaluation module and a motor control module, and realizes all-weather and all-around environmental perception and target detection through data fusion of a millimeter wave radar, a visible light camera and an infrared camera. And the power output of the motor is intelligently regulated and controlled according to the detected danger level, so that the driving safety of the electric motorcycle is improved. The problem of limitation of a single sensor of an existing electric motorcycle safety system is solved, the stability and reliability of the system in a complex environment are improved, and early warning and intelligent prevention and control of potential risks are achieved.

A system and method for managing permissions in a security system. A computing system is adapted to associate a first user account and a second user account with the security system, grant permissions associated with the security system for the first user account, and receive a request for activating the security system from the first user account. The computing system further adapted to prompt the second user account to assume control of the security system following receiving the request, modify permissions associated with the security system for the second user account in response to the second user account assuming control of the security system, and restrict permissions associated with the security system for the first user account following the second user account assuming control of the security system.

The invention provides a global full-automatic intelligent safety system and a control method. The global full-automatic intelligent safety system comprises monitoring equipment, a sensor, communication equipment, an alarm device and a server. Wherein the monitoring equipment and the sensor are connected with the server through the communication equipment; the server is provided with an edge server and a cloud server which form a collaborative architecture; the edge server is deployed with multiple containers, and independent image recognition modules are packaged in the containers; the edge server is also connected with the alarm device; the cloud server is provided with a shadow system of an edge server, a training module and an online upgrading module. In combination with the corresponding control method, the system is simple in structure and low in deployment and maintenance cost, local quick response is achieved through the edge and cloud server collaborative architecture, effective and quick updating is carried out through the cloud under the corresponding control method, and therefore stable operation of the safety system and the recognition accuracy of monitoring are guaranteed, and the safety performance of the system is improved. And the requirements of different scenes can be quickly adapted, and the system use difficulty is simplified.

A fire safety system, comprising a first-level fire-fighting unit (11) and a second-level fire-fighting unit (12), wherein the first-level fire-fighting unit (11) cooperates with the second-level fire-fighting unit (12) to perform safety protection on batteries of the entire energy storage device, thereby improving the safety of the entire energy storage device, and solving the problems of the treatment effects of fire safety measures for existing energy storage devices not being ideal and the energy storage devices having safety hazards. Further disclosed are a centralized fire safety system, an energy storage device, and an energy storage system.

The invention belongs to the technical field of multi-chain collaboration and big data processing, particularly relates to a multi-value-chain collaboration evaluation method, and aims to solve the problem that in the prior art, efficient collaboration and collaboration evaluation of multi-value chains cannot be achieved, and consequently the risk of a safety system is high. The method comprises the following steps: collecting multi-source heterogeneous data of each influence factor on an enterprise multi-value chain; carrying out weight distribution on the influence factors on each value chain by adopting a fuzzy comprehensive evaluation method to obtain an influence factor set on each value chain; adopting an analytic hierarchy process to obtain an interaction relationship among the value chains; constructing a node feature matrix and an adjacent matrix, and inputting the node feature matrix and the adjacent matrix into a pre-constructed graph neural network to obtain a final node embedding vector; determining an optimal decision path in combination with the final node embedding vector; and according to the optimal decision path, collaboration of the enterprise multi-value chain is carried out, and a collaboration evaluation report is generated. According to the invention, efficient collaboration and evaluation among multiple value chains are realized, and the stability and security of an enterprise security system are ensured.

A ladder safety system is configured to prevent falls from prematurely stepping off the ladder by providing a left-side panel and right-side panel that extends from the sides of the ladder out from a front side of the ladder. Also, the ladder safety system has step extensions from at least the first step and preferably from the first and second step that create a larger step extending out from the front side of the ladder to catch a person's foot when they step back prematurely thinking they are lower on the ladder than they actually are. Also, the left-side and right-side panel prevent a person from stepping off to the side of the ladder when they think they are lower on the ladder than they are.

A safety system for a boat, watercraft or other vehicle includes a kill switch connected to the motor for preventing the motor from running under dangerous circumstances. The system may include proximity sensors operatively connected to the kill switch, so that the motor only runs when the proximity sensor detects a person properly positioned at the captain's console. Other sensors may form an array to communicate with the kill switch, to automate certain features and systems, or to otherwise provide alarms upon detection of dangerous situations, including a carbon monoxide detection sensor system, gate sensors, anchor-down sensors, ladder sensors, ambient light sensors, optical rain sensors for operating an automated windshield wiper safety system, an array of cameras strategically positioned around the periphery of the watercraft for monitoring purposes, and an automated anchor / navigation light system.

A natural language query is received via a chatbot to monitor and / or control one or more security devices of the security system. The natural language query is processed to identify one or more descriptors of one or more security system devices that are a subject of the natural language query and to identify a desired result of the natural language query. One or more security system commands are assembled and submitted to the security system to identify one or more specific security system devices of the security system that correspond to the natural language query. One or more security system commands are assembled and submitted to each of the specific security system devices of the security system that are tailored to achieve the desired result. Confirmation from the security system is received.

The invention relates to a method for operating an autonomously controlled vehicle (2), comprising at least one automated driving system (8) for controlling a vehicle journey, a vehicle interior (4) for a vehicle occupant (6), with at least one comfort system (10) for providing a comfort function for the vehicle occupant (6), and with at least one safety system (12) for protecting the vehicle occupant (6), an interior sensor (14) for detecting an interior situation (16) of the vehicle occupant (6), and an environment sensor (18) for detecting an environment situation (20), wherein a current actual driving situation is detected on the basis of system data (36) of the driving system (8), the comfort system (10) and / or the safety system (12) as well as sensor data (38) of the interior sensor (14) and the environment sensor (18).a key parameter (40) relating to the vehicle occupants (6) for a future driving situation is predicted and evaluated based on the system data (36) and the sensor data (38), based on the evaluation a vehicle behavior to realize a target driving situation is determined, the specific vehicle behavior is adapted taking into account an interaction between the interior situation (16) and / or the exterior situation (20), and the adapted vehicle behavior (42) is set by controlling the driving system (8), the comfort system (10) and / or the safety system (12).

A security evaluation device calculates a threat evaluation value for each of all threats present in a system configuration plan based on an evaluation value of a probability of a threat occurring, an evaluation value of an execution frequency of the threat, and an evaluation value of an effectiveness of a mitigation measure for the threat that is possessed by a countermeasure against the threat, which are defined for each type of security threat, and calculates a quantitative security evaluation value for the system configuration plan based on the threat evaluation values calculated for each of all of the threats.

The present disclosure relates to a method for an elevator safety system, and to a computer-readable medium therefor. Provided is an abnormal sign-detecting elevator that can prevent safety-related accidents by means of various sensors, the elevator (20) comprising an elevator car (21), a governor (22), and a rope (23), wherein the elevator car (21) can move vertically along guide rails (25), the governor (22) comprises an upper sheave (22a) and a lower sheave (22b), and the rope (23) winds around the upper sheave (22a) and lower sheave (22b).

Disclosed are methods and / or a system of incident based camera device activation in a safety system of a structure having a fixed piping system implemented therein to supply breathable air thereacross. In accordance therewith, one or more sensor(s) associated with one or more component(s) of the safety system is integrated with a computing platform executing on a data processing device. Based on the integration of the one or more sensor(s) with the computing platform, one or more environmental parameter(s) of the one or more component(s) of the safety system is sensed. One or more camera device(s) in a vicinity of and / or on the one or more component(s) of the safety system is automatically activated based on determining, from the sensing, occurrence of an incident.

The invention discloses an operation real-time monitoring system based on risk factor dynamic assessment, and relates to the technical field of desilting operation risk assessment, the system can comprehensively assess various potential risks in the desilting operation process through multi-dimensional environmental data acquisition and real-time monitoring, and the risk factor dynamic assessment is realized. Comprise dam instability, water flow shearing force, sediment disturbance, soft foundation stability and the like. The system calculates comprehensive risk factors according to the data, timely identifies risks and triggers early warning, and ensures the safety of an operation area. The system can dynamically evaluate the soil liquefaction risk by monitoring the soil liquefaction factor and the volume change of the workboat in real time, and prevents the workboat from inclining or sinking. In addition, the system generates and implements specific emergency strategies according to different early warning instructions, and takes effective protective measures to deal with sudden risks. The safety and efficiency of the dredging operation are improved, the potential accident risk is reduced, and the sustainability of the dredging operation is guaranteed.

The invention relates to the technical field of injection molding production and manufacturing, and discloses an injection molding raw material feeding mistake-proofing verification system for a safety system airbag, which comprises a central verification server, an edge computing gateway, an intelligent hopper unit provided with an electromagnetic locking mechanism and a handheld intelligent terminal. The handheld terminal is used for collecting information, and the server verifies order matching and generates an unlocking instruction when the physical position identifiers are consistent and are in a preset time window. The system establishes a virtual session to lock the injection molding machine in a single-batch mode, and the product taking-out manipulator and the label printer are linked in real time through the interlocking control module according to the session state. The algorithm engine module calculates single-mode consumption based on screw metering parameters and melt PVT characteristics so as to invert real-time inventory, and pressure and speed characteristics in the glue injection process are extracted in combination with the rheological analysis module to generate rheological fingerprints for attribute verification. According to the invention, the space-time physical interlocking of the feeding authority, the whole-process batch anchoring and the online closed-loop monitoring of the physical attributes of the raw materials are realized.

The invention discloses a safety system and method for preventing drunk driving of a vehicle, the vehicle and a medium, and relates to the technical field of safe driving. The safety system comprises a vehicle-mounted terminal and a cloud server which are in communication connection, the vehicle-mounted terminal comprises a detection module, a collection module, a processing module and a control module, and the processing module is used for verifying the identity of a driver through face data and voice data continuously collected by the collection module and sending the identity of the driver to the cloud server after verification is passed. The behavior state of a driver is determined according to voltage data continuously output by the comprehensive detection module, if the behavior state is drunk driving, a first control instruction is generated, early warning information is uploaded to the cloud server, and the control module is used for intelligently controlling the vehicle through the first control instruction or a second control instruction. Wherein the second control instruction is obtained by analyzing the early warning information through the cloud server to obtain the vehicle operation data and combining the traffic environment around the vehicle and the vehicle operation data until the vehicle stably stops, and safety is ensured.

An airbag configured to be part of a wearable safety system that allows for the provision of face protection is provided. The airbag (100) comprises a C-shaped neck portion (4) having a mouth portion (9) mating with a central opening (10) configured to receive a user's neck. The neck portion (4) is adapted to partially encircle the user's neck. The airbag further comprises first and second elongated face portions (5) extending from the C-shaped neck portion (4) in regions opposite the mouth portion (9), each face portion (5) having two opposing long sides. A first attachment portion (20) of one of the two opposing long sides of the first face portion (5) is attached to an inner peripheral edge portion (23) of the central opening (10) in a region adjacent to the first edge portion (12) of the mouth portion (9), and a first attachment portion (22) of one of the two opposing long sides of the second face portion (5) is attached to the inner peripheral edge portion (23) of the central opening (10) in a region adjacent to the second edge portion (12) of the mouth portion (9). Further provided is a wearable safety system comprising a harness (200).

A security system that can be used in a home, office, or other building in order to generate alarms or take other actions depending on conditions within the building. The security system may rely on sensors within the building which sense various conditions and collect other data. The information learned from the sensors can be communicated to a location outside the building for processing, such as, but not limited to, processing associated with a need to instigate an alarm.

A security system may receive, without a submission of a user query, a model response from a large language model, where the model response includes structured data generated by the large language model using a plurality of security alerts. A security system may render an interface on a computing device using the structured data, where the interface displays information about a security insight event detected by the large language model using the plurality of security alerts, and the interface identifies a portion of the plurality of security alerts as related to the security insight event.

A method is provided, which includes receiving an indication from a first safety system associated with an isolated operating area that a safety operation is to be performed for the work machine operating in the isolated operating area, determining, in response to receiving the indication, a status of a second safety system associated with the work machine, determining, based on the safety operation and the status of the second safety system associated with the work machine, an adapted safety operation, and controlling operation of the work machine based on the adapted safety operation.

The present invention relates to the safety hook of the personal protective equipment for working at height. In particular to the safety hook with sensor devices, communication capability, and a monitoring system for obtaining the status of the safety system while in use by a user. The safety hook system replaces traditional non sensor integrated system. The hook system monitors the usage of the safety device, monitors whether the hook is attached to objects, size of the attached object and provides real-time feed back to the worker and communicates wirelessly to a monitoring system. The monitoring system, via the communication link, provides real-time status of all workers working at heights and their safety devices utilization when using the safety hook with monitoring.

The invention discloses a multi-mode sensing and active risk suppression system and method for marine hoisting equipment, and belongs to the technical field of intelligent control and safety protection of the marine hoisting equipment. The technical problems that an existing crane safety system is single in sensing dimension, passive and rough in response and low in man-machine interaction efficiency are solved. The system collects stability, structural health, steel wire rope state and spatial position information in real time through a multi-source sensor network; the risk fusion predictor accurately calculates overturning, overload, rope disorder and collision risk indexes based on the information; according to the hierarchical active risk suppression strategy, a three-level active risk suppression strategy from multi-mode early warning guidance, smooth capability limitation to directional safe shutdown is executed according to the risk level, and a clear risk state and operation guidance are provided for an operator through an integrated human-computer interaction interface. And through a multi-level and intelligent intervention strategy, the intrinsic safety and the operation reliability of the marine crane are greatly improved.

The invention discloses a station building safety risk online assessment system based on an edge AI large model, which relates to the technical field of station building safety systems and comprises a data acquisition module, a large model reasoning module, an edge calculation module, a cloud collaboration module, a risk assessment module and a user interaction module. The multi-modal fusion module can perform fusion analysis on multi-modal data such as videos, sensors, texts and the like to form comprehensive risk assessment, the multi-modal fusion module adopts dynamic weighting, utilizes an attention mechanism and dynamically distributes weights according to the importance of modals, and through the design, the working personnel can perform multi-modal risk assessment according to the current time period, the working state or external factors. In addition, the multi-modal fusion module supports adaptive sampling and dynamic updating in the use process, and the data sampling frequency of the data acquisition module is dynamically adjusted according to the risk level, so that the flexibility of the system is further improved.

An improved context-aware security system may include an artificial intelligence (Al) reasoning security system. The context-aware security system may be configured to receive security input data from a plurality of input sources, generate a contextual security analysis, identify a security response, and send instructions to a security system output device to execute the security response. The context-aware security system may include a plurality of security input sources configured to provide security inputs and contextual data, including credential readers, physical access controllers, security sensors, environmental sensors, or external information sources. The context-aware security system may include a directive input subsystem configured to receive security directives from an authorized user interface. A plurality of security system output devices may be configured to execute the security response, including credential reading systems, biometric systems, alerting systems, logging systems, or notification systems.

The invention discloses a blast furnace winch skip car safety system which comprises the following steps: supplying power to a device through a UPS (Uninterrupted Power Supply), checking an initial position signal, loading key parameters and checking an equipment state; gradually increasing the frequency of the frequency converter through the master controller, collecting position signals in real time and dynamically adjusting parameters; the master controller monitors a track position and a speed signal in real time and adjusts the output frequency of the frequency converter; when the skip car approaches the target position, the frequency is reduced, the buffer limiting device is verified, and the parking position and the running state are recorded; when the master signal is detected to be abnormal, switching to a standby master, and triggering an alarm to take a shutdown protection measure; and recording a running position signal, a speed curve and fault information, and adjusting running parameters by analyzing data to predict potential faults of the equipment. According to the method, the whole-course dynamic control of the blast furnace winch skip car is realized, the stability, safety and fault prediction capability of operation are improved, and the method is particularly suitable for accurate transportation under high load and multiple working conditions.

The invention relates to the technical field of industrial safety control, in particular to a dual-system redundancy safety circuit and a self-diagnosis method, the dual-system redundancy safety circuit is composed of a first safety system, a second safety system, a test load and a switching unit, and the first safety system and the second safety system realize information interaction through an optical coupling isolation communication interface. According to the self-diagnosis method, an encrypted diagnosis trigger pulse sequence is generated through the second safety system, a test contactor of the first safety system is driven to be connected to a test load, and a main safety loop generates simulated real safety action current; the second safety system performs high-speed sampling, filtering, correlation analysis and response delay extraction on the current waveform to obtain a diagnosis result of the contact performance and the load capacity; and when an abnormity is detected, the second safety system controls the switching unit to execute safety switching through the solid-state switching output point, so that control right taking-over is realized, and the reliability and the online diagnosis capability of the safety loop are improved.