1066 results about "Safety Equipment" patented technology

The invention discloses a video analysis-based electric power operation personnel behavior identification and early warning system and method, which realize accurate identification and real-time early warning of electric power operation personnel behaviors by combining a video analysis technology with multi-modal data fusion, and effectively improve the safety management level of an operation site. Compared with a traditional safety supervision mode, the method employs a mode of combining deep learning target detection and time sequence behavior analysis, improves the recognition accuracy of operators and safety equipment, fuses the data of equipment worn by the operators with video data, improves the detection precision, and improves the safety supervision accuracy. And misjudgment caused by illumination change, shielding or complex environment is reduced. Besides, high-risk violation behaviors such as no safety helmet wearing, no safety belt fastening, violation climbing, high-altitude object throwing and the like are accurately recognized through the violation detection module, and different levels of alarm measures are adopted according to the severity of the violation behaviors in combination with an early warning feedback mechanism, so that the pertinence and response efficiency of early warning are improved.

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 relates to the field of network security, and discloses a problem line determination method based on IP address classification and identification, which comprises the following steps of: collecting public network IP behavior data in a network flow log, extracting multi-dimensional characteristics such as a time regularity entropy value, a protocol diversity proportion, target port dispersity and a request rate change rate, and determining a problem line according to the extracted multi-dimensional characteristics; constructing an IP association graph fusing feature similarity, time synchronism and physical position constraints; an abnormal IP group is identified by adopting a community division algorithm, and the detection sensitivity is adaptively optimized according to a real-time network load and a historical false alarm rate in combination with a dynamic threshold adjustment mechanism based on a PID feedback control model; the attack type is judged through protocol-port mapping and Mahalanobis distance statistics, alarm information containing an abnormal IP list, a time window and a classification result is generated, and the alarm information is linked with safety equipment to execute a defense strategy. According to the method, the defects of a traditional method in the aspects of multi-dimensional attack recognition, dynamic environment adaptation and cooperative attack detection are overcome.

A hard hat attachment system is described with mounts to support various accessories. The hard hat includes various attachment points configured to receive adapters to couple to various accessories. The user customizes the hard hat for the particular task with the preferred accessories used to complete the job. For example, headlamps, face shields, earmuffs, sun shades, etc. are interchangeably releasably coupled to mounting and / or auxiliary ridges on the hard hat. In this way, the hard hat is customized and / or modified to support a wide variety of accessories that are securely and releasably attached to the hard hat without destructive alterations to the hard hat. Brackets couple to mounts and / or adapters couple to ports to support and / or secure various accessories in place during operation and prevent accidental knocks or jarring the accessory loose.

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.

There is disclosed herein, by way of example, a personal safety device having a main body having disposed therein a non-lethal defensive weapon (such as pepper spray, taser, or baton); a hand enclosure; a light; and a bottom attachment; wherein the main body is constructed with a size and shape to comfortably fit an average human female hand.

A method may include receiving, from a safety system coupled to an infusion system, repair data associated with a repair event, during which a user accesses the infusion system. The method may also include detecting, based on the repair data, the repair event is unauthorized. The method may also include causing, based on the detecting, at least one safety adjustment to operation of the infusion system. Related methods and articles of manufacture, including apparatuses and computer program products, are also disclosed.

The invention discloses a situation awareness and linkage disposal system based on dynamic threat modeling driving, and the system comprises a security data collection and standardization module which is used for collecting security data of a network, a host and an application layer, and carrying out the standardization processing; the dynamic threat modeling module is used for constructing a dynamic threat model; the threat agent modeling and simulation module is used for modeling each node in the threat attack graph into a threat agent; the parameter optimization module is used for globally optimizing parameters and strategy weights of the Monte Carlo tree search network by using a seagull algorithm; the linkage processing decision module is used for configuring a Monte Carlo tree search network based on the optimal parameter group; the safety equipment scheduling module is used for analyzing the optimal linkage disposal decision scheme; and the disposal effect evaluation and feedback module is used for performing multi-dimensional analysis on the disposal feedback data set. According to the invention, accurate situation awareness and linkage processing are provided for the user.

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 a method for authentication, designed to allow access and may find application for the purpose of ensuring a higher level of security in electronic identification and / or communication and protection against unauthorized access, including visual, video or another surveillance of the process. The method is applicable and works successfully in various physical, virtual and operational environments, the protection being achieved by combining secret elements with decoys and implicit rules, that can be further changed by hidden instructions. The method significantly limits the possibilities of using standard methods for tracking user actions by recording key strokes and / or cursor movements (keyloggers), or taking screenshots (screen recorders), or surveillance, as visible actions do not reveal the secret combination. Also, the method does not require the use of additional security devices / keys of any kind.

The invention discloses a construction hidden danger automatic detection method and system based on point cloud and image multi-mode. The method comprises the following steps: step 1, acquiring point cloud data and RGB image data and respectively preprocessing the point cloud data and the RGB image data; 2, safety equipment detection is carried out by establishing an improved YOLOv5 model; establishing a 3D-CNN model to qualitatively judge the abnormal behavior of the personnel; 3, combining a semantic segmentation model and point cloud data processing to carry out quantitative judgment of height calculation and coordinate conversion of the fence; and 4, realizing three-dimensional live-action model reconstruction based on point cloud feature matching, Poisson surface reconstruction and GPU rendering, and detecting potential safety hazards of a construction site. The accuracy of qualitative detection is further improved, the precision error of quantitative detection is reduced, the recognition efficiency and precision of potential safety hazards are greatly improved, intelligent and all-around guarantee is provided for safety management of a construction site, remote decision is assisted, the management cost is reduced, and the method is suitable for various construction scenes.

The invention discloses a home equipment management method, a storage medium and an electronic device, and relates to the technical field of smart home, and the method comprises the steps: responding to a home network creation request of a target object to create a home network, and setting the target object as a home network creator. And in response to an equipment binding request sent by the creator, adding the equipment information and authority information of the plurality of pieces of equipment carried in the equipment binding request to the home network so as to bind the control authority of the plurality of pieces of equipment through the home network. And when an operation request of a visitor of the home network for the security device is received, verifying the identity of the visitor, and when it is determined that the identity of the visitor is a creator, allowing the operation request of the visitor for the security device. The security of the home network is improved by setting the creator for the home network and implementing the operation authority verification of the security device based on the identity of the creator.

The invention relates to the technical field of network security, in particular to a security operation full-process automatic closed-loop method and system driven by a security agent, and the method comprises the following steps: collecting network behavior data, including network traffic, system logs and user behavior data, from various network devices, security devices and log systems in real time; performing cleaning, denoising and standardization processing on the original data by using a natural language processing technology; the method has the beneficial effects that the full-process automatic closed-loop management from threat detection, analysis, response to feedback is realized by constructing the security agent and combining technologies such as a large language model, artificial intelligence, machine learning, natural language processing (NLP) and the like. The security agent can monitor network behaviors in real time, automatically identify abnormal behaviors, generate security early warning and automatically execute a response strategy, so that the efficiency and accuracy of security operation are remarkably improved.

The invention discloses an intelligent analysis-based security vulnerability intelligent research and judgment and co-processing system and method, and relates to the technical field of network security, and the system comprises a multi-source data collection module which obtains security data in real time by adopting a multi-level intelligent hierarchical collection architecture; the intelligent analysis module adopts a three-level progressive analysis architecture to analyze and collect data; the intelligent agent scheduling module designs a unified control framework, realizes standardized management and control of security equipment through hierarchical abstraction, receives analysis results, integrates a self-adaptive scheduling algorithm based on multi-objective optimization and an alarm vulnerability intelligent circulation strategy relying on an optimization mechanism of the self-adaptive scheduling algorithm, and executes a security mechanism by means of an adapter factory mode, a strategy arrangement engine and a four-level execution guarantee mechanism. Equipment self-adaptive management, strategy intelligent scheduling and vulnerability grading processing are supported, and a processing result is fed back; and the report generation and evidence collection module displays the disposal result and automatically generates an electronic evidence collection package meeting the standard. According to the invention, intelligent research and judgment of vulnerabilities and automatic generation of disposal suggestions can be realized.

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.

The invention provides a safety protection equipment detection method and system for an agricultural greenhouse construction scene, and relates to the technical field of safety equipment detection, and the method comprises the steps: obtaining a safety equipment image in the agricultural greenhouse construction scene; a lightweight safety equipment image detection model SGR-DETR is constructed; and detecting the safety equipment image by using the safety equipment image detection model SGR-DETR to obtain a detection result, and completing the detection of the safety protection equipment. According to the method, the problem of deployment of the real-time detection converter RT-DETR model on the edge computing equipment with limited computing power during landing deployment in the embedded equipment is solved.

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.

A method of supporting decision-making of security control includes: (a) when an system for automatically analyzing a security threat receives a security warning from a security device, collecting security threat events generating the security warning from the security device; (b) when the collected security threat events exceed a preset event processing threshold, generating, by the system for automatically analyzing a security threat, a first request message for preferentially processing a security event; (c) when receiving the first request message generated from the system, determining, by the system for supporting priority of security control, a priority processing order of the security threat events, and notifying the system; and (d) when receiving the second request message generated from the system, determining, by the system for supporting priority of security control, a priority processing order and notifying the system for automatically analyzing a security threat of the determined priority processing order.

The invention relates to the technical field of high-place operation safety equipment, in particular to a high-power single-phase immersion liquid cooling data center cabinet, which determines the flow of cooling liquid according to the operation power of a server unit and inlet and outlet temperature data of the cooling liquid so as to determine the power of a cooling liquid circulating pump. Determining whether a server with thermal management imbalance exists or not according to the temperature data of each monitoring site of the central cabinet, acquiring real-time related data of the server with thermal management imbalance so as to determine an imbalance reason of the server, and determining an imbalance adjustment strategy according to the imbalance reason; according to the invention, through intelligent monitoring and accurate adjustment, the problem of inaccurate identification of thermal management imbalance is solved, and load balancing and efficient heat dissipation are realized; the resource utilization rate is improved through task migration and valve adjustment, the system stability is enhanced through a fault emergency mechanism, stable operation of the high-power server is guaranteed, and the operation and maintenance efficiency is improved.

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 relates to the technical field of automobile part information security evaluation, and discloses an automobile part information security evaluation system based on a multi-dimensional penetration test, and the system comprises a data collection module, a vulnerability analysis module, an event monitoring module, a parameter matching module, a response execution module and a self-learning module. The data acquisition module acquires test data in real time, and generates a dynamic adjustment set of vulnerability severity feature values and security parameters; the vulnerability analysis module generates a personalized security parameter and a dynamic penetration control strategy based on the feature value; the event monitoring module screens abnormal event data; the parameter matching module determines a target adjustment parameter through multi-dimensional matching; the response execution module drives the safety equipment to correct parameters; and the self-learning module updates the security parameters by using the feedback data. The system realizes dynamic evaluation and self-adaptive protection of automobile part information safety, improves the safety protection level, and is suitable for the technical field of automobile part information safety evaluation.

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 the technical field of mine safety equipment, in particular to a mining intelligent air door locking and air speed sensing control device. According to the technical scheme, the mining intelligent air door locking and wind speed induction control device comprises an air door channel body, multiple sets of locking mechanisms, an air door body, a displacement sensor, a wind speed sensor, an environment detection mechanism, a control unit, an alarm mechanism and a sealing assembly, and the multiple sets of locking mechanisms are arranged on one face of the air door channel body; an air door body is arranged at one end of the locking mechanism, and a displacement sensor is arranged on the surface of one end of the locking mechanism. By adopting the physical locking combination of the electromagnetic bolt mechanism and the dual-redundancy mechanical spring bolt and integrating the pressure sensitive diaphragm to monitor the sudden pressure change of the air duct, the safety redundancy of the locking mechanism is remarkably improved, and under the abnormal working condition, the system can automatically trigger locking and cut off a power source to prevent the air door from being opened unexpectedly, so that the safety of the air door is improved. The stability of a mine ventilation system is ensured.

The invention discloses a network security risk assessment method and system based on a data model. The method comprises the following steps of: firstly, collecting equipment logs, operation records, medical data access records and alarm information from key nodes of a hospital network, such as network equipment, a server, safety equipment and a medical information system in multiple channels, cleaning, de-weighting and normalizing, and then analyzing network topology, equipment safety, data sensitivity and user behaviors; building a model by using K-means clustering and a support vector machine, and training and optimizing by using historical data; and combining an analytic hierarchy process, vulnerability scanning and time sequence analysis to calculate asset value, vulnerability score and threat possibility, and obtaining a risk level according to a risk matrix method. The system comprises multiple layers of architectures such as data acquisition, processing, model construction, risk assessment decision, display interaction and the like, and the layers cooperate with each other. The system accurately adapts to a hospital network, comprehensively considers medical data characteristics, builds a foundation for hospital network safety management, and protects medical services.

The invention provides a YOLOv5s-based safety equipment wearing target detection method and system, and the method comprises the steps: firstly obtaining a port safety operation image, carrying out the safety equipment wearing compliance marking according to a preset marking criterion, introducing an SIoU loss function on the basis of a YOLOv5s network model to replace a GIoU loss function in the YOLOv5s network model, and obtaining a new YOLOv5s network model; a new YOLOv5s network model neck network is constructed, a dynamic hierarchy adjustment strategy is combined with an adaptive feature fusion mechanism, the number of neural network layers of an FPN structure in the new YOLOv5s network model neck network is automatically and dynamically adjusted, an improved FPNX structure is obtained, an improved YOLOv5s network model is further obtained, then first-stage small target screening detection and second-stage large target screening detection are sequentially carried out, and a new YOLOv5s network model is obtained. And obtaining the second target detection result containing all the safety equipment in the target image to complete the wearing detection of the safety equipment, so that the detection capability of small targets and large targets can be remarkably improved to adapt to different detection scenes.

The invention discloses a magnet type anti-bird spacer convenient to install, and belongs to the technical field of electric power safety equipment. The device comprises an anti-bird spacer body, a magnetic attraction fixing device, an insulating rod and an additional clamping piece. The magnetic attraction fixing device is connected with the U-shaped base through a threaded column, the main magnet is embedded into the lifting disc, and the height of the magnet is adjusted by rotating a sleeve at the top of the insulating rod so that the cross arm can be attracted. An auxiliary magnet and an elastic additional clamping piece are arranged on the inner side of the U-shaped base, and the fixing effect is further enhanced. A magnetic suction rod and a spring structure are arranged in the insulating rod, so that remote operation is facilitated. Power failure or pole climbing operation is not needed, the installation efficiency and safety are remarkably improved through the double fixing modes of magnetic attraction and mechanical clamping, and power loss and personnel risks are reduced.