1382 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.

An artificial intelligence based Offensive Cybersecurity Appliance or OCA for launching a cyber-offensive countermeasure aimed at effectively mitigating sophisticated cyber threats such as real-time Ransomware as a Service (RaaS) directives and emergent killware instigated by malicious-threat actors or cyber attackers. The system covertly uses a vast array of penetrative counter cyber attacks, based on an Advanced Persistent Threat or APT model, to circumvent encountered information security controls instituted by security-based components of a cyber attacker's Local Area Network or LAN. Intrinsically, the penetrative counter cyber attacks are constituted of multiple blended artificial intelligence based cyber attacks. The OCA subsequently uses these blended artificial intelligence based cyber attacks to render the hardware (including the cyber attacker's computer system used to instigate the cyber attack, discovered peripheral smart devices, and network-edge device such as a modem-router) interconnected to the cyber attacker's LAN inoperable by destroying the electronic components associated with that hardware.

The invention discloses a network / security equipment security policy generation and evaluation method and system based on a large language model, and the method comprises the steps: carrying out the fine adjustment of a base model through employing a threat research and judgment data set and a policy generation data set, and obtaining a threat research and judgment LLM and a policy generation LLM; a threat research and judgment LLM performs threat research and judgment on the received abnormal log output by the log acquisition module, and outputs a threat information tetrad; the policy generation LLM generates an equipment security policy by calling a knowledge base Agent according to a threat information quadruple output by the threat research and judgment LLM; and the policy generation LLM call evaluation Agent evaluates the equipment security policy from three aspects of policy correctness evaluation, policy validity evaluation and policy suitability evaluation. According to the invention, the effectiveness and reliability of the equipment security policy 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.

An emulated hardware security device is configured for a compute instance. A state descriptor of the compute instance comprising software identification metadata prepared using the emulated hardware security device is provided to a resource verifier. The metadata identifies a program to be executed at the compute instance. In response to a response received from the resource verifier, a decision is made as to whether to execute the software program at the compute instance.

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 method for enhancing a network boundary security policy of a power monitoring system, and belongs to the field of network security. Comprising the following steps: collecting security equipment strategies of different brands in the power monitoring system in combination with network security equipment characteristics of the power monitoring system, and performing intelligent analysis in combination with asset routing conditions; on the basis of asset detection, routing strategy acquisition and protection strategy acquisition, network security strategy calculation is carried out, and unified strategy management of security boundaries is realized; under the condition that the information security requirement is met, automatic issuing of protection and blocking strategies is realized; through centralized management of security policies of heterogeneous equipment, policy configuration data of the network security equipment is captured in an online acquisition mode, and a unified security policy library is formed in a normalization mode, so that unified management, carding reinforcement, carding optimization, topology modeling, path management and policy opening and plugging functions of the security policies of the heterogeneous network security equipment are realized. The method can be widely applied to the field of safety management and operation maintenance of a power monitoring system network.

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 relates to the technical field of network security, and discloses a network security situation awareness and active defense system, which comprises a micro-feature fine granularity extraction algorithm module, a dynamic abnormal behavior pattern library module, a real-time matching and dynamic evaluation engine module and an intelligent defense strategy generation and execution system module. According to the invention, a convolutional neural network and an attention mechanism are integrated through a micro-feature fine granularity extraction algorithm module, and micro-features of network flow data are extracted; the method comprises the following steps: extracting fine features from a dynamic abnormal behavior pattern library, matching the extracted fine features with abnormal behavior pattern features in the dynamic abnormal behavior pattern library, determining whether the fine features are abnormal features, if the fine features are abnormal features, evaluating the threat level of the abnormal features, and triggering a corresponding defense strategy based on the threat level. According to the network security situation awareness and active defense system, through fine analysis, intelligent identification and active defense strategies, micro flow attacks which are difficult to perceive by traditional security equipment are effectively handled, and the overall security protection capability of the network is improved.

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 discloses a power monitoring system network security equipment security boundary strategy unified management system, and belongs to the field of security. Comprising the following steps of: acquiring information of general safety equipment including a firewall, a switch and a VPN (Virtual Private Network); analyzing traffic, strategies, logs and events by using a machine learning method; when the analysis result is displayed, a blocking suggestion is given and can be automatically issued, and a disposal report is generated; unified and centralized management of heterogeneous brands and heterogeneous models of network security equipment including firewalls, routing exchange, load balancing and VPN in the whole network of an enterprise is realized; through visualization of safety management by a user, safety compliance visualization analysis from a safety perspective is realized. Safety equipment strategies of different brands in a power monitoring system are collected, intelligent analysis is carried out in combination with asset routing conditions, and automatic issuing of protection and blocking strategies is achieved. On the basis of asset detection, routing policy acquisition and protection policy acquisition, policy unified management of the security boundary is realized.

A method includes receiving, by a first device, a request from a second device to participate in a session, the request being a message compliant with a WebRTC framework and including an identifier of a process hosted by the second device; verifying, by the first device, a type of the process hosted by the second device based on the identifier; initiating, by the first device, one or more actions on the first device in response to verification of the type of the process, the actions being other than those to communicate data between the first device and second device; and establishing, by the first device, the session with the second device after initialization of the actions on the first device.

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.

The invention discloses a coal mine underground safety detection method and system based on face image recognition, and relates to the technical field of coal mine safety detection. The method comprises the following specific implementation steps: through a video target recognition technology and a self-adaptive face recognition method, recognizing the identity of a miner and the wearing condition of safety equipment in each working area, and obtaining a miner number and a first danger index; secondly, according to the motion trail matching and behavior analysis technology, analyzing the danger degree of various behaviors of the miner to obtain a second danger index; then, according to the environmental parameters, evaluating the danger level of the miner working environment, and calculating a third danger index; finally, in combination with the danger index of the miner and the danger degree of the working area, the working safety condition of the miner is comprehensively evaluated, the comprehensive danger index is obtained, danger grading is carried out, early warning information can be sent out in time, the safety risk of underground operation of the coal mine can be effectively reduced, the safety of operators is ensured, and safety accidents are reduced.

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.

An elevator safety system includes a safety controller in connection with an elevator safety chain for monitoring safety of an elevator system. The elevator safety system is arranged, in a first configuration of the elevator safety system, to monitor a set of safety devices, and arranged to be reconfigured from the first configuration to a second configuration of the elevator safety system in response to a detection of a malfunction or failure in a portion of the first configuration, wherein, in the second configuration, the malfunctioned or failed portion is at least functionally excluded. An elevator system and a method for continuing operation of an elevator system after a malfunction or failure are also disclosed.

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.

A security system of a building includes a processing circuit. The processing circuit is configured to detect, based on data of security equipment of the building, that a security alarm of the building is a false alarm and search, responsive to the detection of the false alarm, a database to identify a past corrective action accepted for implementation and at least one false alarm occurring after the past corrective action was accepted and before detection of the false alarm. The processing circuits is configured to generate a corrective action to reduce an occurrence of the false alarm based on a result of the search and implement the corrective action to update operation of the security equipment to reduce the occurrence of the false alarm.

The invention discloses auxiliary safety equipment for a ground rod, which is applied to the field of power equipment and comprises a base, and a detection mechanism is arranged on the surface of the base; according to the invention, the wire of the grounding rod is connected with the hook, and after the hook is hooked on the metal cable, an internal circuit is triggered through the connecting terminal to form a loop, so that a closed circuit is realized; when the circuit is closed, the buzzer gives an alarm, and the main control chip sends a closed-loop signal to the alarm box through the communication module to realize state voice alarm information to inform that the grounding rod is normally hung on the metal cable, so that the purpose of high safety is achieved, and the grounding rod is convenient to use. By moving the clamping rod, the clamping rod is separated from the adjusting hole, after the handle rod is moved to the needed position, the clamping rod is loosened, the clamping rod is clamped with the adjusting hole under the action of the third spring, the length of the handle rod can be adjusted, and practicability and applicability are improved.

A safety device for a DC grid includes a voltage measuring device between a potential line and a reference potential line, and a protective circuit for reducing an electric shock caused by Y-capacitors of the electric DC grid. The protective circuit includes a circuit breaker between the respective potential line and the reference potential line. A plurality of tripping criteria are predefined and the first circuit breaker and / or the second circuit breaker can be actuated so as to close exclusively in the event of all predefined tripping criteria being met as determined by the first voltage measuring device and / or by the second voltage measuring device.

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.

A security apparatus includes an anchoring member removably coupled to a display surface and defining a cavity with one or more securing elements positioned in the cavity. It further includes a security assembly removably coupled to the anchoring member and comprising a guide with one or more securing element engagement members, a first extension assembly, and a second extension assembly. The first extension assembly moveably coupled to the guide and includes a lock configured to be moved between a locked state and an unlocked state, and the second extension assembly is coupled to the guide. The security assembly is at least partially received in the cavity and the one or more securing elements interact with the one or more securing element engagement members to releasably couple the security assembly to the anchoring member.