755 results about "Safety Equipment" patented technology

A system comprising security devices and a computing device. The security devices may each be configured to detect an event in response to video frames and audio and communicate the video frames, the audio and a notification of the event. The computing device may be configured to execute one or more steps, the steps comprising performing a classification of the notifications of the events into a plurality of event levels and displaying a list of the notifications of the events according to the classification. Each of the plurality of event levels determined to be high priority events are added to a top of the list as the high priority events are detected. Each of the plurality of event levels determined to be a lower priority than the high priority events are added to the list below the high priority events as the events with the lower priority are detected.

The invention discloses a computer network security data processing method and system based on artificial intelligence, and the method comprises the steps: building a multi-channel deep learning fusion model, extracting spatial local features in a traffic sequence through employing a 1D-CNN one-dimensional convolutional neural network, capturing a long-range time sequence dependence relation between log events, and carrying out the recognition of the long-range time sequence dependence relation between log events; modeling the user operation behavior sequence based on an LSTM (Long Short-Term Memory) network, and fusing the feature weight by using an attention mechanism to obtain a fused feature vector; inputting the fusion feature vector into a classifier established based on an OS-ELM online sequence extreme learning machine to perform real-time threat assessment, and outputting a probability index of network attacks occurring in a short time in the future; and generating a cooperative defense decision according to the network attack probability index, and sending the cooperative defense decision to security equipment for execution. Excessive defense or insufficient protection is avoided, and the cooperation efficiency of safety equipment is remarkably improved.

The invention provides a network security alarm method and device, electronic equipment and a storage medium, and belongs to the technical field of network security, and the method comprises the steps: obtaining security logs, configuration information and asset importance levels of all security equipment in a network; performing association analysis on the configuration information, and determining attack surface data of each IP point in the network; performing noise reduction and correlation analysis on the security log to obtain processed log information, matching the processed log information with a preset feature library, and filtering alarms of normal service features and alarms of misreported attack features to obtain filtered alarm data; inputting the attack surface data, the asset importance level and the alarm data into a large language model to generate an alarm priority sequence; and executing an automatic response based on the alarm data, the alarm priority sequence and a configured response script. According to the invention, the problem of high false alarm rate of network security alarm in the prior art can be solved.

Processors, systems, methods, and computer program products to detect unauthorized modifications to security information in a security device. In at least one embodiment, a processor comprises one or more circuits that use information stored in one or more storage locations of one or more security devices to detect whether the security devices have been rebooted.

The invention relates to an intelligent safety equipment state monitoring method, system and equipment and a medium. According to the method, attitude data of a self-locking device toggle clip are collected in real time, the wearing compliance is judged in advance, and an alarm is triggered immediately for a violation state to realize risk interception; for a compliance state, based on the preprocessed time sequence data, extracting a multi-scale feature vector representing a short-term dynamic state and a long-term trend by using a multi-stage time convolutional network, and dynamically fusing a multi-expert prediction result through an expert hybrid neural network to output a future risk probability value; and finally, a graded early warning signal is generated according to a probability value matching risk grade, so that while the real-time performance of basic state monitoring is guaranteed, accurate prediction and active protection of potential risks in a compliance operation scene are realized, and a dual safety guarantee mechanism of'real-time interception + beforehand prevention 'is formed.

An aerial lift that is interlocked with a fall-protection apparatus and is further interlocked with at least one additional safety apparatus. The serial lift is equipped with a monitoring system that is configured to detect whether a connector of a safety line of the fall-protection apparatus appears to be connected to a safety harness of a user of the aerial lift.

The invention discloses a hydraulic automatic car arrester for a mining explosion-proof car, and relates to the technical field of mining safety equipment. The hydraulic automatic car arrester for the mining explosion-proof car comprises a car body, a car arresting assembly and a dismounting assembly, a T-shaped connecting plate is arranged on the car body, the car arresting assembly is located on the car body and comprises a pushing structure and a hinging structure, the pushing structure comprises an L-shaped connecting hook, an assembling block and an electric push rod, and the assembling block is connected with the L-shaped connecting hook. The free end of the electric push rod is fixedly connected with an assembling block, one end of the assembling block is fixedly connected with an L-shaped connecting hook, and the disassembling assembly is located on the car stopping assembly. The vehicle stopping device can be tightly attached to a tire to stop the wheel, the pushing structure pushes the vehicle stopping block to the wheel through the action of the electric push rod, it is ensured that the vehicle stopping block makes close contact with the surface of the tire, an effective obstacle is formed, the stopping effect can be improved, accidental movement of a vehicle is avoided, and therefore the safety of a mining area is guaranteed.

The invention relates to the technical field of high-place operation safety equipment, in particular to an outer wall defect detection method based on infrared thermography, which comprises the following steps: acquiring a construction building drawing of each building, acquiring report records about wall body cracks in an intelligent property platform and forming a plurality of crack type sets and related crack type sets, combining the related crack type sets into a related crack set, determining a crack building drawing of each building in combination with report records, determining a plurality of crack clustering centers of the corresponding building according to the crack building drawing, and determining whether the crack clustering centers are inner side defect points or not according to the crack clustering centers and the target positions; determining an outer wall detection position of the infrared thermal image according to the inner side defect point, and controlling the detection unmanned aerial vehicle to move to the outer wall detection position to obtain a corresponding outer wall infrared thermal image; and determining whether a temperature abnormal area exists or not according to the outer wall infrared thermal image so as to determine wall defects. Through crack clustering and directional detection, the problems of blind detection, low efficiency and insufficient accuracy in outer wall defect detection are solved.

The invention provides a harbor district oil depot control system, belongs to the technical field of harbor district oil depot management and control, and particularly relates to a harbor district oil depot control system which comprises a multi-source data acquisition module, a data processing module, an index generation module, a production scheduling module, a safety management module, an equipment protection module and a control module. Universe data collection of the storage tank area and the loading and unloading area is achieved through the multi-source monitoring equipment, a scheduling, safety and equipment dynamic index system is formed in combination with the AI algorithm, and the data value density is improved; loading and unloading task allocation, four-level safety early warning and equipment health intervention measures are dynamically generated based on a threshold value, and automatic closed-loop management of'monitoring-analysis-execution 'is achieved; through a multi-stage early warning mechanism, full-process plan triggering from daily maintenance to emergency response is supported, and the accident prevention efficiency is improved; a three-dimensional visual billboard and a data cockpit are provided through the integrated management and control platform, cross-department collaborative decision making is achieved, and the emergency response speed is increased.

The invention provides a safety device based on mine ventilation network simulation regulation and control and a use method thereof, and belongs to the technical field of underground safety equipments.The side portion of a frame body is provided with two regulation and control air channels, two transmission modules are arranged between the two regulation and control air channels, and a data acquisition and communication module capable of sliding and ascending and descending is clamped between the two transmission modules; fixing modules are installed on the frame body and the regulation and control air channel, the regulation and control air channel is divided into three sections, a dust removal module is installed in each section, and an air speed detector is arranged on the rear portion of each dust removal module. Comprehensive perception, intelligent regulation and control and convenient maintenance of the mine ventilation system are achieved, a digital twinborn model is accurately constructed through the mobile acquisition module, a data basis is provided for intelligent analysis, the controller can automatically optimize and adjust a fan, the response is fast, an original automatic landing maintenance mechanism is adopted, and the maintenance efficiency is improved. When the air duct is blocked, an alarm can be given and the air duct falls to the ground, so that the maintenance work does not need climbing operation, safety and high efficiency are realized, and the reliability and safety of the system are remarkably improved.

The invention provides an industrial vision-based power line repair operation safety monitoring method, which relates to the technical field of power system automation, and comprises the following steps: collecting multi-source visual data of a repair operation site, and carrying out space-time alignment and feature level fusion on the multi-source visual data; based on the fused visual features, through a personnel safety equipment detection model and an operation behavior identification model, identifying the safety equipment wearing state and the operation behavior compliance of the operator in real time; the position, the motion track and the distance between the operator and the danger source are tracked in real time, and potential risks in a few seconds in the future are predicted through a rehearsal algorithm; and generating a safety operation report based on the monitoring data of the whole process, and feeding back key data in the report to the personnel safety equipment detection model and the operation behavior recognition model for parameter optimization. According to the method, interference of severe weather, shielding, illumination change and the like is effectively overcome, and accurate and robust recognition of the safety equipment wearing standard degree and various operation behaviors is achieved.

The present invention relates to a wearable safety device 99 comprising: a device body 1 adapted to be secured to a user; a local alert system comprising at least one light source 65 and an audible alarm 35; an electronic control unit 51 comprising an alarm trigger and being configured to control the local alert system, wherein the electronic control unit is configured to continuously or repeatedly activate the light source to provide a visual alert, and wherein the electronic control unit is configured, upon actuation of the alarm trigger, to activate the audible alarm. The present invention also relates to a system comprising: a wearable safety device as aforementioned; and a software application for a user device, preferably a smartphone, wherein the software application is configured to broadcast an alert signal: based on a comparison between a planned route input by a user to the software application and data relating to the location of the user device; and / or upon actuation of the alarm trigger.

The invention relates to a security event automatic handling method based on a large model, and belongs to the technical field of network security. The method comprises the steps of performing vectorization processing on collected historical security event data based on an embedded model, and constructing a security event processing knowledge base and an input enhancement knowledge base; finely adjusting the open source security field large model of the Transform architecture, dynamically updating the security event handling knowledge base and regularly updating the input enhancement knowledge base; carrying out vectorization and similarity matching on the input security event data to obtain matching information; matching information is input into the fine-tuned large model to generate a disposal scheme; and manually intervening a disposal scheme, linking the existing safety equipment to execute event disposal, evaluating a disposal result, and feeding back the disposal result to a safety event disposal knowledge base to realize continuous optimization. According to the method, the response speed and the disposal accuracy of the security event can be improved, the adaptability to novel and unknown threats is enhanced, and continuous optimization is realized.

The invention provides a self-adaptive collaborative security protection method based on attack path deduction, a medium and a system, and belongs to the technical field of network security. The method comprises the following steps: sampling possible paths from a current attack node to high-value assets based on an adaptive path sampling algorithm of Monte Carlo tree search to generate an attack path graph, calculating a protection effectiveness score and a service influence score according to key nodes and predicted attack actions, and generating an optimal protection instruction set based on a multi-target tradeoff function; an instruction is converted into a heterogeneous security device configuration command through a strategy execution cooperative controller, multi-device synchronous activation is realized by adopting a distributed transaction protocol based on a logic clock, and a protection effect is monitored and fed back to an artificial intelligence model for parameter optimization; the problem of protection strategy failure caused by asynchronous network security protection response and attack evolution is solved.

The invention relates to a coal-based composite oxygen-barrier spraying material as well as a preparation method and application thereof, and belongs to the technical field of mine safety equipment. The coal mine by-product coal slime is used as a main body material, the water glass is combined as a binder, and the proportioning process is optimized, so that the composite spraying slurry with low cost and high oxygen resistance is formed, and the problems of serious material pollution, high cost and poor environmental compatibility in the existing coal pile spontaneous combustion prevention and control technology are solved. The material forms a compact coating layer on the surface of a coal pile, oxygen permeation is effectively isolated, the spontaneous combustion critical temperature of the coal pile is remarkably increased, the oxygen concentration in the coal pile is reduced to 6% or below, and meanwhile pollution of a traditional spraying agent to the coal quality and the working environment is avoided. In addition, the low-price coal slime is used for replacing a high-price flame-retardant material, value-added utilization of by-products in coal sales is achieved, and triple advantages of fireproof safety, environmental protection and economic efficiency improvement are achieved.

The invention belongs to the technical field of Internet of Things, and discloses a safety equipment management and service system and method based on a trusted scene, and the method comprises the steps: obtaining manufacturer basic information and a real-time risk signal, judging a credit level according to a four-level standard, generating a corresponding rectification work order, collecting equipment attributes, signing and issuing a trusted passport, and forming an equipment initial trusted certificate; the scene admission type is judged by combining the batch admission template and the offline rule packet, differential adaptation is executed, and a scene adaptation result is generated; historical experience labels are converted through a cross-domain label mapping table, invalid labels are cleared up, an inheritance trust state is determined, and a trust passport is updated; sandbox simulation is executed on the major strategy, conflicts are arbitrated according to mode priorities, and an arbitration strategy, an execution instruction and an audit log are generated; the trust passport and the manufacturer credit level are updated, trust approval and strategy arbitration rules are optimized, and a closed-loop auditing link is formed.

The invention discloses a gas detection alarm method and system for mining safety equipment, and relates to the technical field related to gas detection, and the method comprises the steps: obtaining basic gas detection related equipment information of a target mine, and constructing a mine topological graph; performing incremental coding identification on the node gas correlation detection data sequence of the M equipment topology nodes in the preset detection window; performing multi-dimensional structured interaction on the M signal token sequences to obtain a local association sub-graph set; and in combination with the M signal token sequences, carrying out local gas detection anomaly identification on the local association sub-graph set, and obtaining gas detection alarm information according to an identification result set. The technical problems that in the prior art, the semantic relation between signals is difficult to accurately understand in the complex and heterogeneous mine environment, local gas abnormity is difficult to recognize in time, and consequently the accuracy and timeliness of gas detection alarming are poor are solved, and the technical effects that abnormity accurate positioning is achieved, and the accuracy and timeliness of gas detection alarming are improved are achieved.

The invention discloses a robot control method and device, a controller, a storage medium and a computer program product. The robot control method and device are applied to a scene in which a robot is jointly controlled based on safety equipment and N control ends. The control method of the robot comprises the following steps: establishing communication connection with at least one control end which needs to control the robot in the N control ends; recording one control end which currently needs to control the robot in the at least one control end which establishes the communication connection as a current control end; acquiring an operation command sent by the current control end, and acquiring security information sent by the security equipment; and based on the operation command sent by the current control end and the safety information sent by the safety equipment, cooperatively controlling the robot to act. According to the scheme, the multi-terminal equipment, the safety equipment and the robot body are cooperatively controlled, so that the multi-terminal equipment simultaneously controls the cooperative work of the robot, and the programming efficiency and accuracy are improved.

The invention relates to the technical field of automobile safety equipment, in particular to a driver air bag assembly for a heavy truck, which is mounted in a steering wheel and comprises a bearing disc assembly, the bearing disc assembly is mounted in a cavity of the steering wheel, and the bearing disc assembly comprises air bag upper surface cloth, air bag lower surface cloth, an inner pull belt and a reinforcing sheet. A generator is arranged in the bearing disc assembly. According to the driver airbag assembly for the heavy truck vehicle, the head and the neck of a driver can make contact with more airbags in the collision process, a larger cavity is formed in the 6 o'clock direction for protection, hard contact in the collision process can be effectively avoided, meanwhile, the size of the lower cavity is originally larger than that of the upper cavity, and therefore the safety of the driver is improved. And the air bag can be more stable in the unfolding process and after being fully inflated, the air bag naturally droops under the influence of gravity and stably covers the 6 o'clock direction of the steering wheel, and the small cavity in the 12 o'clock direction can provide partial balance.

The invention discloses a portable climbing ladder with gravity center monitoring and anti-skid early warning functions, and belongs to the technical field of electric power climbing operation safety equipment, the portable climbing ladder comprises a ladder body assembly, the ladder body assembly is provided with a sensor array used for monitoring the inclination angle, supporting leg pressure distribution, ground friction coefficient and environmental parameters of the climbing ladder in real time; the processing unit is connected with the sensor array and used for calculating the gravity center offset, the stability coefficient and the slip risk level according to the sensor data; the early warning device is connected with the processing unit and is used for sending out an early warning signal when the stability coefficient is lower than a safety threshold value or the slip risk level exceeds a critical value; and the self-adaptive adjusting mechanism is connected with the processing unit and is used for automatically adjusting the supporting parameters of the climbing ladder according to the stability coefficient. According to the invention, through multi-sensor fusion, the safety guarantee of the climbing ladder is improved from passive protection to active early warning, and a user can visually and comprehensively obtain the safety state information of the ladder.

The invention relates to the technical field of resource scheduling, in particular to an electric power safety tool full life cycle management method based on multi-modal data. An electric power safety tool full life cycle management method based on multi-modal data comprises the following steps: S1, obtaining mechanical wear data, insulation data and connection reliability data of an electric power safety tool, and dividing an independent operation and maintenance management cycle; calculating an arithmetic mean value of the equipment loss record of each independent operation and maintenance management period, and generating a period wear reference value; s2, scanning the insulation sequence of each independent operation and maintenance management period, and identifying all actually measured data points lower than an insulation safety threshold; and performing adjacent data point difference operation on the connection sequence of each independent operation and maintenance management period. According to the method, the operation and maintenance period is dynamically divided, the equipment health degree is calculated by fusing multi-modal data, the scheduling queue and environment association graph is constructed, and the closed loop is optimized to improve the operation and maintenance efficiency and safety of the power equipment.

The invention discloses a network security monitoring method, which comprises the following steps of: acquiring full-life-cycle data and attributes of network processes in real time, constructing a process chain table and an associated network, and sorting a relationship between the processes; secondly, matching a network event with a process timeline, dynamically dividing a time window according to a process life cycle, calculating a process time characteristic and a network activity characteristic, comparing a historical normal mode, quantifying a difference by utilizing an algorithm, and identifying an abnormal process; then, inputting the comparison process into a support vector machine to establish a prediction model, and predicting an abnormal process in real time; and finally, abnormal process information is fed back to the security equipment, and abnormal files are positioned and isolation / deletion operation is executed in combination with network behavior data association analysis. According to the method, the abnormal process can be accurately identified, misjudgment is reduced, the sensitivity requirements of different service scenes are met, the abnormal file is positioned by means of network behaviors, and the accuracy and timeliness of network security protection are effectively improved.

Smart Home Security Device with Predictive Threat Detection

The application discloses a multipurpose explosion-proof elevator safety clamp and belongs to the technical field of elevator safety equipment. The safety clamp comprises two mounting racks, a connecting assembly one, two rotating racks one, two rotating rods one and two rotating racks two. The connecting assembly one comprises two rotating racks one, the two rotating racks one are fixedly connected to the top of the two mounting racks respectively, the two rotating rods one are rotationally connected to the interiors of the two rotating racks one, and one end of the two rotating rods one is fixedly connected with the two rotating racks two respectively. The threaded groove in the sleeve and the threaded rod are threadedly connected, the sleeve and the connecting rod one are movably connected, the rotation of the sleeve drives the threaded rod to axially move relative to the sleeve, the two rotating blocks one and the rotating racks two are driven to angularly deflect around the rotating rod one, the overall spacing of the two mounting racks and the limiting assembly can be flexibly adjusted, the safety clamp can be adapted to the spacing requirements of guide rails of elevators of different specifications, the adaptability of the safety clamp is improved, and the multipurpose property is improved.

1. Name of the product in this design: Swimming float. 2. Purpose of this design: Safety equipment for outdoor swimming, allowing swimmers to grab the swimming float and submerge themselves in the water to rest briefly using buoyancy. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. The top view has been shown in perspective view 1, so the top view is omitted. 6. Part A is marked as being made of transparent material.

This invention relates to the field of nuclear safety equipment testing technology. It provides a method for optimizing parameters in accelerated reliability testing of nuclear safety-grade valves. The method involves the following steps: establishing a correlation model between accelerated stress and life parameters; calculating the acceleration factor and formulating an initial test plan; deriving the theoretical sample size based on the success-failure test method combined with confidence requirements; constructing an extended coefficient table using the range-extended test method to optimize test parameters; generating multiple accelerated test plans through chi-square distribution verification; eliminating plans that do not meet the life characteristic threshold; determining the optimal sample size, number of failures, and test cycle through comprehensive test cost and risk analysis; and finally outputting a complete test plan including the action interval time. This method solves the problems of limited test samples, insufficient failure data, low confidence levels, and difficulty in adapting accelerated models in existing high-reliability valve technologies.

The invention discloses an offshore wind power embarkation operation and maintenance online management system with a remote video monitoring function, and relates to the technical field of image analysis, an AI model is used for carrying out real-time and intelligent anomaly recognition on monitoring video frames of embarkation gallery bridges, compared with traditional manual visual monitoring, the AI model can work continuously for 24 hours, and the monitoring efficiency is improved. The method is simple, is not influenced by subjective factors such as fatigue and severe weather, can accurately and rapidly identify various potential risks such as personnel slipping, safety equipment not wearing, gallery bridge attitude abnormity and equipment collision, can trigger alarm and inform related personnel to intervene once abnormity is identified, shortens the discovery and response time of the safety risk from minute level to second level, and improves the safety risk detection efficiency. Therefore, safety accidents are effectively prevented or reduced, and the life safety of operation and maintenance personnel is guaranteed.

The invention relates to the technical field of automobile safety equipment, in particular to an automobile fire extinguisher fixing system, a using method and an automobile. The invention provides a vehicle fire extinguisher fixing system. The vehicle fire extinguisher fixing system comprises a CNSL assembly, a fixing device and a fire extinguisher. The CNSL assembly is provided with a storage space, and the fixing device is arranged in the storage space; and the fire extinguisher is placed in the storage space through the fixing device. According to the CNSL assembly, the fire extinguisher is placed in the storage space through the fixing device, the space utilization rate of the storage space of the CNSL assembly is increased, taking and using are convenient, the taking and using time is effectively shortened, and meanwhile the adaptation problem of a traditional fixing mode in a special space is solved.

This disclosure proposes a multimodal motion switching control method and device for a mining intelligent assistive exoskeleton, relating to the field of mining safety equipment technology. The method includes: collecting multimodal sensing data from the wearer, extracting temporal features and inputting them into a lightweight classifier to identify motion patterns and output confidence scores; when the confidence score continuously exceeds a threshold, a mode switching intention is determined; the control subroutine corresponding to the current motion mode is invoked to obtain impedance parameters and the desired trajectory; based on the impedance parameters, the desired trajectory, and the current trajectory, interpolation fusion is performed using a hybrid transition strategy to generate smooth transition joint control commands to control the exoskeleton. This disclosure enables real-time and accurate identification of motion intentions in confined underground environments, smooth and compliant switching between multiple modes, effectively reducing switching impact, ensuring motion continuity and human-machine collaboration safety, and improving the adaptability and overall operational safety of the exoskeleton in confined environments.

This invention relates to the field of construction safety equipment technology, specifically a support and stabilization scaffolding safety net and scaffolding, including a main frame. The main frame is arranged longitudinally at equal intervals, and each main frame is equipped with a metal mesh. In use, a locking block on one side of the main frame is inserted into the cavity column through a limiting groove. Then, an electric hoist at the top lifts and raises the main frame. Simultaneously, after one main frame is lifted to a certain height, a splicing mechanism is used to longitudinally splice another main frame with the top-lifted main frame. Following these steps, multiple main frames can be quickly and sequentially spliced ​​and raised, completely covering the outer sides of two cavity columns, thus forming a complete safety net and completing the overall installation. This makes assembly simple and convenient, ensures high safety, and improves overall assembly efficiency.