113 results about "System safety" patented technology

The invention discloses a 10KV station electric control system of a convertor station adopting selecting 2 from 3 logic. Two PS830 boards are added, three PS830 boards are utilized to concurrently process and jointly realize a spare power automatic switching function and an operation interlocking logic function; the selecting 2 from 3 logic is added in PS853 programs of an ASI host machine and a switching value output board, i.e. the electric control system can be exported when at least two of three integrated circuit boards sends out same instructions. The damage of any one of the three PS830 boards can not lead to switch fault trip or refusing trip, the 10KV control system can be ensured to run safely and stably without being influenced by the faults of single element. The electric control system has the advantages of convenient use, safety and the like.

The application discloses a kind of substation flood intelligent monitoring method and system, it is related to electric power system safety monitoring field.The method is by building the multi-dimensional influence factor library including the bottom elevation of discharge port and pipe network permeation loss, combined with rainfall forecast executes dynamic water balance deduction, deduce according to the dynamic correction soil infiltration capacity of early rainless days, and according to the effective pressure difference of water level and the bottom of discharge port calculates net drainage capacity;Based on the deduction result, water level height field is generated by combining three-dimensional digital model for waterlogging overflow distribution;According to water level height field and equipment elevation, determine the flooding risk, and generate dispatching instruction by taking water center as target and combining prohibited operation area to optimize equipment layout coordinates;Through man-machine interaction correction parameter and trigger GPU acceleration recalculation to realize model online evolution.The application realizes the physical mechanism simulation and space intelligent scheduling under the microscale of substation, changes passive alarm into active risk deduction.

This invention discloses an electromechanical braking system and its control method based on heterogeneous motor redundancy, relating to the field of brake-by-wire technology for new energy vehicles. The system includes the following steps: During vehicle braking, a permanent magnet synchronous motor (PMSM) acts as the main drive source, outputting braking torque, while a switched reluctance motor (SRM) operates in standby or low-power auxiliary mode, forming a heterogeneous motor redundant drive structure. This invention achieves complementary failure modes and reduces the risk of common-mode failures by employing a heterogeneous redundancy structure of a PMSM and a SRM; simultaneously, it optimizes system economy by utilizing the low cost and low standby energy consumption characteristics of the SRM. A deep learning health prediction model is introduced to achieve early fault prediction and proactive switching, and a rapid, seamless switching mechanism within 20ms ensures braking continuity and system safety.

The present application relates to the technical field of steel safety management, and provides a method and device for safety performance evaluation of all staff in a steel enterprise. The present application constructs a safety performance evaluation model and a safety performance evaluation system. The safety performance evaluation system generates a safety production responsibility system and a post safety performance list for all staff in the enterprise according to the organizational structure of the steel enterprise and a system safety responsibility database. The safety performance evaluation model is used to analyze the actual performance corresponding to the post safety performance list, and automatically outputs and displays the corresponding safety performance evaluation result. Through the construction of the safety performance evaluation system, the actual performance is collected as comprehensively as possible, and the evaluation standard is standardized and unified based on the safety performance evaluation model, thereby solving the problems of low efficiency, low accuracy and poor practicability of safety performance evaluation in the prior art.

This invention discloses a coupling protection method and an intelligent coupling. The protection method acquires the coupling's operating status signal in real time, and the control unit independently and in parallel executes trend prediction analysis and real-time over-limit monitoring analysis. These two analyses do not wait for each other and trigger protection independently. If either analysis meets the trigger condition, a protection command is executed to cut off or reduce torque transmission. After the overload risk is eliminated, the coupling automatically resets after a delayed confirmation. The intelligent coupling includes a status detection element, a control unit, an execution unit, and a transmission locking mechanism. The transmission locking mechanism can switch to multiple graded protection states such as fully disengaged, slipping, and partially disengaged. It also features adaptive self-learning, fault emergency response, and multi-mode power supply and communication functions. This invention combines overload prediction protection with real-time response, comprehensively covering both gradual and sudden overloads, improving the safety and reliability of the transmission system, and is suitable for various industrial heavy-duty and precision transmission scenarios.

The application discloses a kind of based on measurement and knowledge water surface unmanned system operating state early warning method, belong to unmanned system safety monitoring technical field.To solve the problem of insufficient knowledge utilization, poor dynamic adaptability of existing early warning method, the method of the application includes: collecting position, attitude, ship body state and environment multi-source time series data, and obtaining text form expert knowledge;Adopt sliding window and standardization preprocessing data;Expert knowledge semantic vector is extracted using BERT model;Through Crossformer model coding time series features, knowledge vector is spliced and fused, and system state features are output;Risk membership degree is calculated based on fuzzy set theory, and early warning is triggered according to the maximum membership principle.The application realizes the deep integration of measurement data and expert knowledge, improves the early warning accuracy, robustness and generalization ability.

This invention discloses a security protection method for multi-agent systems in industrial scenarios. The method includes the following steps: collecting multimodal interaction data during the operation of the industrial multi-agent system; preprocessing the multimodal interaction data using a pre-trained language model to obtain processed data; constructing an agent interaction topology graph based on the processed data; extracting local topological features from the interaction topology graph using a graph attention network; capturing global context co-occurrence patterns from the interaction topology graph using a Transformer encoder to obtain global context features; weighting and fusing the local topological features and global context features using a residual connection mechanism to obtain fused features; processing the fused features based on a multi-task learning framework to obtain attack probability and reconstruction results; and comparing the attack probability with a preset threshold to obtain anomaly determination results.

This invention discloses a method for constructing a multi-state model of hydropower units that takes into account load temporal fluctuations. It focuses on the impact of regional time-period water inflow restrictions and system safety constraints, corrects the outage characteristics of the hydropower unit model within a fixed period, correlates the outage characteristics of the units with load locations, and converts the unit failure rate into a dynamic calculation process. Simultaneously, considering the impact of system safety constraints, it optimizes the unit commissioning sequence under the constraints of system ramp-up capacity reserve and spinning reserve, obtaining richer system operation information, including system reliability indicators, safety margin indicators, and unit start-up and shutdown frequency, providing a reference for power system safety assessment.

To facilitate the detection and response status of system security issues, thereby simplifying security measures. [Solution] The system evaluation device includes a generation unit that uses detection result information representing the detection results of vulnerabilities possessed by multiple information processing devices included in the system to evaluate the vulnerability status in the system for each different type of evaluation method and generates evaluation result information representing the evaluation results for each evaluation method, and an output unit that causes an output device to output vulnerability trend information representing the vulnerability trend corresponding to the worst evaluation result among the evaluation result information for each evaluation method.

The invention relates to the technical field of power system safety protection, and particularly provides a power grid transmission line ice melting thickness prediction method and device based on numerical simulation. Comprising the following steps: substituting numerical values of ice melting influence parameters of the power grid transmission line into a pre-constructed convective heat transfer coefficient calculation formula, and calculating a convective heat transfer coefficient of the power grid transmission line; determining the ice melting thickness of the power grid power transmission line based on the convective heat transfer coefficient of the power grid power transmission line; wherein the pre-constructed convective heat transfer coefficient calculation formula is obtained in a numerical simulation mode. According to the technical scheme provided by the invention, quantitative and accurate prediction of the ice melting thickness under the dynamic meteorological condition can be realized.

The application relates to a kind of multi-system information comprehensive all-electric propulsion satellite control system safety strategy design methods, and the multiple types of abnormality of electric propulsion system, control system, energy system are handled by information comprehensive method, for different fault types and fault branch, obtain fault index value, design safety strategy, according to fault index, for the abnormality that may appear during electric propulsion station keeping and orbit transfer, multiple functions of multiple systems including electric propulsion processing, control mode processing, autonomous orbit transfer and autonomous station keeping operation processing, autonomous flight event are processed. Ensure that electric propulsion system is safe, control system is safe and avoids autonomous flight event abnormal execution, and ensure that satellite system is safe when serious fault.

The application relates to the technical field of network security, and discloses an Azure virtual desktop micro-isolation monitoring method and system based on a zero-trust architecture, which comprises the following steps: collecting and analyzing user operation logs in real time to construct a behavior baseline model and mode distribution; quantifying the operation deviation degree through behavior fluctuation analysis, identifying abnormalities and determining a risk level; detecting session environment threats in combination with device security data; generating a session credibility score and control instruction based on weighted analysis of user behavior and device state; dynamically adjusting access permissions according to the credibility score, and updating security policies in real time to adapt to environmental changes; continuously monitoring and cyclically executing abnormality analysis and permission adjustment to realize dynamic maintenance of system security. The method can effectively deal with internal behavior abnormalities and external threats, and improve the accuracy and real-time performance of overall security protection.

This invention relates to a multi-level simulation testing method and system for intelligent driving. The method includes: hierarchically labeling different test scenarios based on a six-dimensional complexity evaluation model to obtain expected functional safety scenario events and functional safety failure events; generating precise timestamps corresponding to the expected functional safety scenario events and functional safety failure events; synchronously triggering the expected functional safety scenario events and functional safety failure events based on the precise timestamps to simulate corresponding risk scenarios; selecting the verification level of the risk scenario based on the type of functional safety failure event and executing the corresponding simulation instance to obtain test data; and conducting risk assessment based on the test data using a risk assessment model. This application achieves joint injection of scenarios and failures, continuous accumulation of multi-level verification data, and composite risk quantification assessment, improving the comprehensiveness and efficiency of safety verification for intelligent driving systems.

This invention discloses a window control method and vehicle, relating to the field of vehicle control technology. It acquires the timing characteristics of window control commands and the feature vector of the window motion curve, and inputs them into a pre-trained intent recognition model. The model outputs the intent recognition result. If the intent recognition result indicates natural aging of the window mechanism, and the change in the current window motion curve relative to the anti-pinch reference curve is greater than or equal to a preset change threshold, the anti-pinch reference curve is updated. If the intent recognition result indicates intentional obstruction, an anti-pinch action is triggered, and updating the anti-pinch reference curve is prohibited. This invention distinguishes between intentional obstruction and natural aging of the window mechanism by inputting the timing characteristics of the window control commands and the feature vector of the window motion curve into the intent recognition model. The anti-pinch reference curve is only updated when natural aging of the window mechanism is identified; otherwise, updating the anti-pinch reference curve is prohibited. Therefore, it can avoid anti-pinch failure caused by mislearning and improve system safety and reliability.

The application provides a kind of power conductor breakage fault detection equipment and use method, it is related to technical field, through the distributed high-precision acquisition of multimodal sensing module and anti-strong electromagnetic interference, anti-vibration design, combine environmental noise modeling module to utilize machine learning to construct dynamic environmental noise model and generate background interference intensity factor, effectively filter out complex environmental noise, significantly reduce false alarm rate, improve real breakage signal capture ability;The risk assessment unit of system adaptive optimization module associates fault confidence index with background interference intensity factor, fits breakage risk assessment index, realizes adaptive detection sensitivity adjustment based on real-time environmental noise;Strategy optimization unit carries out multistage risk assessment and grading disposal through evaluation threshold interval, shortens fault response time, improves the capture and early warning efficiency of non-completeness or initial weak signal, effectively guarantees the safety of railway power supply system.

This invention discloses a method, equipment, and medium for safety protection and emergency response of a liquid nitrogen fire extinguishing system. The method includes deploying an environmental monitoring network, collecting temperature distribution data and smoke particle concentration, establishing a graded early warning threshold model, and when the temperature distribution data or smoke particle concentration data triggers a risk level, the central controller outputs an alarm signal of the corresponding level. Based on the alarm signal level, the central controller automatically activates the linked ventilation protection device and simultaneously triggers an emergency isolation procedure, recording environmental monitoring network data, alarm logs, and the operational status of rescue sub-equipment, generating a standardized handling record. This invention's system self-check response time is reduced by 70.6% compared to traditional systems, and the fault identification accuracy is improved by 23.1%. It solves the problems of low self-check efficiency, inaccurate fault identification, incomplete records, and inconvenient querying in traditional systems, providing complete data support for subsequent system maintenance, fault diagnosis, and technical optimization, and improving the system's practicality and maintainability.

The present application belongs to the field of industrial automation control and power system safety, and relates to an intelligent fault-tolerant control power supply system and method based on state prediction and a storage medium. The system comprises a state monitoring unit, a prediction and decision unit, a driving execution unit and an intelligent switching device. The method collects electrical parameters of the power supply in real time, predicts the reliability trend using the built-in health state evaluation model; when it is predicted that the reliability will be lower than the safety threshold in the future, the system does not passively wait for failure, but actively triggers an early warning, and comprehensively evaluates the standby power supply state and load working condition, intelligently selects the optimal strategy from the strategy library containing preventive seamless switching, early warning standby and emergency fault switching; finally, the intelligent switching device is controlled to perform the switching operation, especially the seamless switching of "first on and then off" at the zero point of the load current.

The application relates to a kind of nonlinear system safety-relevant control method and system based on reinforcement learning, method includes the following steps: the affine nonlinear dynamic model with safety constraint is established to target nonlinear system;According to affine nonlinear dynamic model, the safety guarantee control input is calculated based on Liapunov type control barrier function;Unknown system dynamics of target nonlinear system is estimated using neural network identifier, and the estimated value of unknown system dynamics is obtained;The nominal tracking control input is calculated according to the estimated value of unknown system dynamics using reinforcement learning architecture composed of actuator and judge;Safety guarantee control input and nominal tracking control input are combined to generate composite control strategy, and the approximate optimal trajectory tracking of target nonlinear system under safety constraint is realized.Compared with prior art, the comprehensive performance and reliability of safety-relevant control in complex nonlinear system are significantly improved.

A kind of quantitative analysis method of fusing indirect economic loss of multi-element power system safety accident belongs to the technical field of power system safety risk assessment. It includes: extracting human attribute key indicators for standardization processing;Respectively constructing each quantitative model to obtain each dimension comprehensive quantitative value;Social public opinion-network fermentation-social response force-CGE fusion model is constructed, and the conduction coefficient is calibrated by ridge regression analysis method;The standardized index and quantitative value are substituted into the fusion model, and the indirect economic loss comprehensive quantitative value of the fusion social public opinion-network fermentation-social response force attribute is solved;Finally, through sensitivity analysis, the human element with high impact weight is identified, and the targeted loss prevention and control suggestion is generated. The present application fills the gap of social public opinion-network fermentation-social response force and other elements in the analysis of indirect economic loss of power system, realizes the innovative fusion of economic and sociological model, the quantitative result is accurate, and provides scientific basis for power accident loss assessment and risk prevention and control.

This invention discloses a safety analysis method for ship SOFC systems, belonging to the field of risk prevention and control technology. It includes: identifying the causative factors of the ship SOFC system; constructing a failure fault tree and event tree model; constructing a Bow-Tie model based on the failure fault tree and event tree model; quantitatively analyzing potential causative factors to identify key factors affecting the SOFC system; combining the analyzed ship SOFC system accident causation data and collected ship fuel cell standard and specification data to form a data system and construct a ship SOFC system accident risk prevention knowledge graph; and conducting SOFC system safety analysis based on the ship SOFC system accident risk prevention knowledge graph. This invention clarifies the criticality, hierarchical relationship, and action path of each causative factor; constructs the causative factors into a complex accident causation network; and, combining the semantic information of the knowledge graph and the capabilities of complex network analysis, deeply reveals the accident causation propagation mechanism, providing a comprehensive perspective for understanding the occurrence and development of accidents.

The present application relates to a kind of automatic pollution control system and control method thereof for aquaculture barrel, including aquaculture barrel, main drain pipe, broken siphon branch pipe, electric valve, control module, man-machine interaction unit, state feedback unit, stop button and pollution state detection unit;Main drain pipe in siphon state will be discharged from the liquid in aquaculture barrel;Broken siphon branch pipe is introduced into gas to main drain pipe;Electric valve controls the on-off of the gas path of broken siphon branch pipe;Control module sends mode instruction to electric valve;Man-machine interaction unit transmits mode instruction to control module;State feedback unit detects the opening and closing state of electric valve and feedback to control module;Pollution state detection unit obtains the state of drain process and discharge fluid.The present application avoids system function failure or breeding accident caused by forgetting the state of electric valve through state feedback and remote monitoring, and improves system safety.And there is pollution state detection unit, choose to continue siphon or terminate siphon, avoid emptying accident.

This invention discloses a centralized VOCs gas recovery device and process for zero emissions at a station, belonging to the field of ecological governance technology. The specific steps of the process are as follows: I. Before gas recovery, the water cooling system and hydraulic system are debugged and safety parameters are set, while the status of each valve is checked; II. The triethylene glycol tail gas and VOCs gas in the venting main are collected and pretreated, and the pretreated triethylene glycol tail gas and VOCs gas are pressurized in one stage. This invention ensures a non-combustion state, reduces the workload of on-site installation and maintenance, simplifies the overall recovery process, eliminates the need for the high power consumption and complex frequency conversion control of conventional reciprocating machines and screw compressors, reduces energy loss, reduces operating costs, and comprehensively avoids risks such as equipment overpressure, gas backflow, and flare backfire, ensuring system safety and stable recovery efficiency. Therefore, we propose a centralized VOCs gas recovery device and process for zero emissions at a station.

The application discloses a kind of complex system full-dimension safety evaluation method based on orthogonal four-element geometric invariant, belong to complex system safety evaluation technical field.The purpose is to solve the technical problems of the fragmentation of existing complex system safety evaluation system, without unified underlying technical framework, and unable to identify composite security risks.The method comprises: for the nonlinear complex system that can be abstracted as state space + dynamics evolution + information flow transmission + topological structure, four orthogonal intrinsic geometric invariants are selected to construct a full-dimension evaluation index system;Complete single-dimension index standardization normalization;Determine the weight coefficient by objective calibration method, construct a weighted scoring model to calculate the comprehensive safety score;Complete safety grade grading and multi-dimensional composite risk identification;Trigger short board early warning and adaptive optimization, form a standardized closed-loop management and control.The application provides a unified, intrinsic and quantifiable safety evaluation underlying paradigm for complex systems in all industries, which can be widely adapted to national strategic scenarios such as cryptographic security, AI security, industrial control security, financial risk control, etc., and can be modularly embedded into domestic safety evaluation platforms, with strong engineering landing capability, filling the technical gap of industry general safety evaluation framework.

The application provides a robot collision detection method based on a friction model and a momentum observer, comprising: establishing a friction model capable of accurately estimating joint friction torque; secondly, constructing a momentum observer that can be adaptively adjusted according to the motion state, for calculating the external torque representing the collision state; further, setting a dynamic threshold range based on the normal motion data without collision, and finally realizing collision determination by comparing the real-time external torque with the threshold. Through high-precision modeling and adaptive observation mechanism, the technical scheme significantly reduces the false positives and false negatives caused by model errors and noise interference, realizes fast and accurate collision detection in the full speed range, and effectively improves the system safety and robustness in human-machine collaboration scenarios.

To address the problems existing in the prior art, this invention provides a method and system for causal analysis of power system safety events. The system executes the steps of the method, which includes: Step 1: Based on the identified system hazard information, a hierarchical and progressive retrieval strategy is employed to dynamically generate a query sequence adapted to the system hazard information, thereby achieving hierarchical derivation of system safety constraints. Step 2: LLMs are guided to perform deep and systematic causal reasoning on power system safety events, thereby systematically identifying comprehensive causes ranging from physical component failures to organizational decision-making deficiencies. Step 3: A feedback verification method combining counterfactual reasoning and logical consistency verification is used to double-verify the intermediate results and the final comprehensive causes output in Step 2. This invention systematically improves the accuracy, reliability, and structured output capability of large language models in complex causal mining during power system safety event causal analysis.

The present application relates to the field of power system safety, and particularly relates to a high-voltage sensitive user electricity hidden danger identification method, system, device and medium, the method comprises obtaining a plurality of disaster-causing factors based on the electricity data of high-voltage sensitive users, and constructing a multi-dimensional factor vector with the plurality of disaster-causing factors as elements; obtaining a plurality of electricity hidden danger types based on historical electricity hidden danger and fault data, and constructing a hidden danger risk vector with the plurality of electricity hidden danger types as elements; using a multi-dimensional mapping function to establish a hidden danger risk mapping model of the multi-dimensional factor vector and the hidden danger risk vector, to obtain the risk values of various hidden dangers under the influence of the multi-dimensional factor vector; weighting the risk values of various hidden dangers according to the hidden danger severity weight to obtain a comprehensive risk index; using the comprehensive risk index to identify and warn the electricity hidden danger of high-voltage sensitive users, which significantly improves the scientificity and accuracy of identification.

The application provides a smart connected vehicle system safety detection method, device, equipment, storage medium and product. The method comprises the following steps: analyzing a target code corresponding to a target vehicle system, determining a syntax tree and a calling component corresponding to the target code; performing vulnerability detection on the target code based on the syntax tree and a preset vulnerability library to obtain a first detection result; performing vulnerability analysis based on the calling component, locating a component containing risks, and obtaining a second detection result; performing fuzzy testing and communication protocol analysis on the target vehicle system to obtain a third detection result; and determining a safety detection result of the target vehicle system according to the first detection result, the second detection result and the third detection result. The safety monitoring can be performed comprehensively in the whole life cycle of software development, and the possible vulnerabilities of the software can be detected comprehensively.

This invention discloses an intelligent zero-sequence current transformer and its leakage current detection and fault diagnosis method, belonging to the field of transformer technology. The transformer includes a toroidal magnetic core, a high-sensitivity leakage current detection circuit, and a microprocessor chip. The toroidal magnetic core is installed on the monitored three-phase four-wire cable, and the toroidal magnetic core is connected to the high-sensitivity leakage current detection circuit. The high-sensitivity leakage current detection circuit is connected to the microprocessor chip, which has a communication interface for sending alarm signals and waveform recording files. This invention accurately extracts weak leakage currents through high-sensitivity detection and three-stage cascaded adaptive filtering; it employs a multi-scale time-frequency attention fusion network to intelligently identify various fault types and achieve early warning; and it integrates fault waveform recording functionality to provide complete waveform data for accident analysis, significantly improving the sensitivity and accuracy of ground fault detection and diagnosis, and ensuring the safe operation of the power system.

This invention discloses a method and system for early warning of substation operation risks, belonging to the field of power system safety monitoring technology. The method includes acquiring operational status characteristic data, weather characteristic data, and animal intrusion characteristic data of substation equipment; generating a basic operational risk value for the substation based on the operational status characteristic data; establishing a risk superposition analysis model based on the weather characteristic data and animal intrusion characteristic data, and generating a risk superposition correction coefficient; generating a comprehensive operational risk value for the substation based on the basic operational risk value and the risk superposition correction coefficient; and providing early warning for the substation's operation based on the comprehensive operational risk value. This invention, by acquiring multi-source data on equipment operation status, weather, and animal intrusion, and establishing a dynamic risk superposition model, can accurately quantify the risk coupling effect, thereby effectively assessing the comprehensive operational risk of the substation. It has the advantages of improving the accuracy of risk assessment, providing timely early warning, and reducing operational failures.