38 results about "Hazard analysis" patented technology

A method for selecting near-source strong motion records considering fling-step effects includes the following steps: introducing a permanent displacement as a conditional parameter into ground motion selection based on generalized conditional intensity measures, and giving a target permanent displacement by extended probabilistic fault displacement hazard analysis; characterizing a frequency content component of a ground motion with a spectral displacement instead of spectral acceleration in a target ground motion intensity measure set; further calculating an empirical correlation coefficient suitable for near-source strong motion records with permanent displacement, constructing a corresponding target conditional distribution, and finally obtaining a data set of near-source strong motion records with permanent displacement most consistent with a target conditional distribution by optimizing selection from a near-source strong motion database. A reasonable ground motion selection method is provided for seismic response analysis of near-source engineering structures under a strong motion-fault dislocation coupled effect.

The invention belongs to the technical field of multi-level RCM, and discloses a multi-level RCM analysis and reliability structure construction method and a related device. The multi-level RCM analysis and reliability structure construction method comprises the following steps: establishing a unit system function model after constructing a unit system database, performing multi-level classification on equipment of a unit system in combination with a fuzzy clustering algorithm, and then determining levels and weights of various types of equipment in the unit system function model, analyzing a failure mode of each type of equipment after multi-level classification through a harmfulness analysis method in combination with a fault tree analysis technology, establishing a correlation model between the equipment failure mode and a unit system function, determining an influence weight of the equipment failure mode on the reliability of the unit system, and establishing a unit system reliability model; inputting the unit system database into the unit system reliability model to obtain a unit system maintenance strategy library; the analysis result accuracy and the system reliability can be greatly improved.

Systems and methods is provided for road hazard analysis. The method includes obtaining sensor data of a road environment including a road and observable surroundings, and applying labels to the sensor data. The method further includes training a first neural network model to identify road hazards, training a second neural network model to identify faded lane markings, and training a third neural network model to identify overhanging trees and blocking foliage. The method further includes implementing the trained neural network models to detect road hazards in a real road setting.

This invention relates to the field of geological hazard analysis technology, and particularly to a geological hazard early warning method based on active detection and spectral response variation. The method includes: deploying active signal excitation devices and signal receiving sensors in the monitoring area to apply active detection signals to the geological body and collect response signals; filtering and adaptive time window segmentation of the response signals to obtain stable-period spectral data; establishing a benchmark spectral model through Fourier transform and phase spectrum analysis; periodically transmitting active signals and collecting real-time responses, calculating real-time spectral characteristic parameters, and comparing them with the benchmark spectral model to obtain spectral variability; determining an early warning threshold using a decision tree model based on historical monitoring data; and calculating the geological hazard risk level and outputting early warning information when the real-time spectral variability exceeds the threshold, combined with environmental variables.

The invention discloses an unexpected electric braking fault control method and related equipment, and the method comprises the steps: determining a risk level and a fault cause corresponding to an unexpected electric braking fault of a vehicle, the unexpected electric braking fault being used for representing unexpected deceleration exceeding a quantitative safety boundary generated by the abnormal electric braking function of the vehicle, and determining the risk level and the fault cause corresponding to the unexpected electric braking fault; the quantitative safety boundary is a threshold value of unexpected deceleration and duration related to each risk level, the risk level is determined based on hazard analysis and risk assessment, and the fault cause is obtained through analysis and tracing of an architecture-level fault tree; safety requirements are determined based on the risk level and the fault reason, and the safety requirements comprise generation control of an electric braking request, execution process monitoring of the electric braking request and management and degradation when an unexpected electric braking fault occurs; an actual execution electric braking force of the vehicle is configured based on the safety demand to limit an unexpected electric braking force within a quantified safety boundary.

The present application relates to the technical field of local structure damage detection, and particularly relates to a local structure hazard analysis method using digital twinning. The method acquires measured strain signals and vehicle parameters when a standard vehicle passes over a bridge, and extracts a normalized measured feature vector. At the same time, an isomorphic simulation feature vector is generated based on the vehicle parameters and a finite element model. An optimal transmission coupling matrix between the two is calculated using the Sinkhorn algorithm, and a distribution pattern transmission cost and an adaptive sparse weight are obtained, solving the recognition error caused by the phase shift in the waveform space. By minimizing the transmission cost and applying sparse constraints, the equivalent cross-section reduction coefficient of each unit is inverted, and the precise positioning of local stiffness damage is realized. Finally, the model material parameters are updated synchronously, and the load bearing capacity reduction rate of the structure is calculated through nonlinear whole-process analysis. The present application can accurately quantify the influence of local damage on the overall safety of the structure under the conditions of unknown vehicle weight and waveform shift.

To allow a plurality of management companies for managing a space object flying in space to efficiently perform sharing execution of danger analysis.SOLUTION: Each of space transportation management devices 100 includes all of space transportation management rule information, a space information recorder 101, a danger alarm device 102, and a danger analysis device 103. Further, each of the plurality of space transportation management devices 100 includes all of a danger avoidance behavior support device 104 for displaying role sharing of an avoidance behavior of a space object, a danger avoidance behavior execution plan, a measurement error scrutiny device, and a security device 105 for preventing information falsification. The danger alarm device 102 notifies an approach or a collision of the space object, and even an anybody of a plurality of management companies quickly shares information among related companies with minimal effort in the case of foreseeing danger.SELECTED DRAWING: Figure 11

The invention relates to a monitoring system and method for monitoring a personnel transportation device. The monitoring system comprises at least one hazard analysis module, an interaction module, a control module and at least one motion detection module, which components are connected to one another via a data network. As soon as the hazard analysis module recognizes a critical situation in the motion sequence recording of the motion detection module, the hazard analysis module sends an alarm signal to the interaction module and the control module, wherein the motion sequence recording associated with the alarm signal is reproduced on the display of the interaction module immediately after receipt of the alarm signal and the control module exerts an influence on the operation in the personnel transportation device associated with the alarm signal. By manually operating an input device, the monitoring personnel can revoke the initiated influence on the operation.

The invention relates to the technical field of electric vehicle fire simulation, and discloses an underground parking lot electric vehicle whole vehicle fire simulation and hazard analysis method comprising the following steps: carrying out a thermal runaway test on an electric vehicle power battery monomer to obtain related data; building a three-dimensional geometric model of the underground parking lot and the electric vehicle according to the actual structure size, simplifying a vehicle body of the electric vehicle and reserving combustible parts, restoring the structure of the parking lot and considering the influence of beam columns, and carrying out hierarchical modeling on surrounding vehicles; pyrosim software is used for simulation, multiple parameters are set, and test data are used as boundary conditions to obtain a result; after simulation, based on multi-dimensional analysis of monitoring data, an evaluation model is constructed by using a specific method to quantitatively evaluate fire hazard; the objective of the invention is to solve the technical problem of lack of simulation of multi-vehicle coupling and large-space fire spreading behaviors in the existing simulation multi-focus single-vehicle scene.

The present application relates to the technical field of inspection planning, and particularly relates to a UAV low-altitude inspection planning system and method based on danger analysis, which performs detailed evaluation on the route of the UAV, combines environmental abnormal influence and dangerous area influence, and considers building collision danger, performs multi-dimensional calculation on flight complexity evaluation, flight height danger and building density danger, comprehensively calculates dynamic and static risks, finally, comprehensively obtains global route danger evaluation result by combining building collision danger of each area and risk evaluation result, and selects the route with the minimum danger according to the global route danger evaluation result, so that the whole scheme realizes multi-dimensional and comprehensive risk evaluation, considers various factors such as environment and building, meets relevant standard requirements, and can effectively reduce UAV flight risk.

The invention provides a marine methanol hydrogen energy risk assessment method and device based on a fusion strategy, and relates to the technical field of system safety engineering and risk management.The risk assessment method comprises the steps that unsafe control behaviors of a power system are identified through system-level hazard analysis, and the risk of the power system is evaluated through assembly-level failure analysis; constructing a hazard causal chain from a bottom-layer physical failure mode to a top-layer system-level hazard; based on a hazard causal chain, constructing a hierarchical causal hazard and operability knowledge graph; the method comprises the following steps of: converting an unstructured multi-modal data stream into a structured semantic event sequence in real time by carrying out multi-modal sensing on an operation state of a power system; and carrying out matching and cognitive reasoning on the structured semantic event, the causal hazard and the operability knowledge graph to output a diagnosis report of the current risk state of the power system so as to complete risk assessment.

This invention relates to a model-based method and apparatus for aircraft functional hazard analysis (FHA), comprising: 1) determining the basic data for FHA; 2) automatically acquiring the functional model; 3) defining functional failure states according to the function; 4) determining the initiating events and acquiring event attributes; 5) determining the resulting event data; 6) constructing an event sequence model; 7) automatically generating FHA based on the event sequence; and 8) automatically generating safety mission reliability requirements. The apparatus includes: a database, a basic data setting module, a functional model import module, a functional failure state determination module, an initiating event determination module, a resulting event determination module, an event sequence model construction module, an FHA automatic generation module, and a safety mission reliability requirement generation module. This invention applies the event sequence model to the aircraft FHA process, automatically generating safety mission reliability requirement documents, reducing the complexity of manual entry and analysis.

The invention provides an electronic rearview mirror system function safety concept stage analysis method, and belongs to the technical field of electronic rearview mirror design, and the method comprises the steps: defining the function, use scene, initial architecture, operation mode and external interface of a CMS in a whole vehicle as related items; performing hazard analysis and risk assessment from the aspects of controllability, severity and exposure on the basis of the defined related items in combination with a main operation scene of the CMS determined from the adaptive scene, and determining a safety target of the CMS and a corresponding automobile safety integrity level; and according to the determined safety target and the automobile safety integrity level, in combination with the defined initial architecture, decomposing the safety target to each electronic component of the electronic rearview mirror system, and generating a functional safety demand allocated to each electronic component. According to the method, from the whole vehicle level, related items are comprehensively defined, hazard analysis and risk assessment are accurately carried out, safety requirements are reasonably decomposed, reliable operation of the CMS is ensured, and the driving safety is improved.

The invention discloses a smart home security system based on the Internet of Things, and relates to the technical field of smart home, the smart home security system comprises a data monitoring module, a potential safety hazard analysis module, a security protection module, a remote early warning module and a database, a house is divided into regions, and the information of each region is monitored in real time; whether gas danger exists in the house or not is judged according to the change of the gas concentration in each area, meanwhile, whether dangerous activities exist in the house or not is judged according to the activity information and the body data of the monitoring target and the dangerous article list of the monitoring target, and security and protection regulation and control are conducted on the smart home according to the gas concentration and the dangerous activities. Meanwhile, casualty risks of people in the house are analyzed, remote early warning is carried out on the local rescue terminal, prevention can be carried out in advance, rescue can be carried out in time, the effectiveness of smart home safety protection and the accuracy of potential safety hazard judgment are guaranteed, and the safety of people in the house is also guaranteed.

The invention relates to a method for increasing the driving safety of an at least partially automated driving vehicle (10), in which environmental data of a real environment (12) of the vehicle (10) is generated by means of a camera (11) and transmitted to a control device (13), by means of which the vehicle (10) is driven by means of the camera (11). A hazard analysis is performed on a current driving situation of the vehicle (10) in the environment presented by the environment data (12), a characteristic value suitable for evaluating a potential hazard situation is determined on the basis of the hazard analysis, and an enhanced image content (15) is determined from the determined characteristic value. And displaying, by means of a display device (16), the enhanced image content from the perspective of the observer in a fused manner into the real environment (12) in order to mark the potentially hazardous situation; the invention further relates to a vehicle (10) having an at least partially automated driving function and a control device (13) which is designed to carry out a method of this type.

This application provides a method and system for monitoring debris flow sources. Based on the matching data between monitoring features corresponding to each debris flow attribute data, the system integrates these monitoring features to obtain global monitoring features corresponding to the debris flow source data set to be identified. Analyzing these global monitoring features yields the analysis results for the debris flow source data set to be identified. In the task of analyzing and processing the source data set, combining the monitoring features corresponding to multiple debris flow attribute data in the source data set to obtain more representative global monitoring features can accurately obtain the source hazard analysis results, thus improving the accuracy of source data set analysis and processing.

This invention relates to a method for analyzing the thermal radiation hazards of fireballs in oil tank areas, belonging to the field of oil tank area safety control technology. It aims to solve the problem that traditional fireball hazard models in existing technologies neglect the height of the radiated target. This approach treats the radiated target as a point mass, limiting its study to hazards to personnel. However, oil tank fires can cause far more serious hazards, failing to provide a reliable reference for safety control work in complex situations. The proposed method, based on collected environmental parameters, references empirical coefficients for fireballs with different fuels, substitutes the mass of fuel in the fireball to determine the fireball's combustion characteristics, and calculates the thermal radiation energy on the fireball's surface. It introduces the positional height variable on the oil tank's main line to improve the traditional fireball hazard model, calculating the thermal radiation flux at different locations on the oil tank. Finally, it combines thermal radiation flux criteria to determine the thermal damage level of the radiated target.

This invention relates to a method and system for analyzing tree obstruction hazards on power transmission lines based on unmanned aerial vehicles (UAVs). The method includes: collecting environmental data and basic data of the power transmission line using UAVs; dividing the power transmission line into multiple terrain analysis units based on the basic data; calculating the surrounding environment conformity index for each terrain analysis unit based on the environmental data; identifying whether the current terrain analysis unit is an abnormal terrain unit based on the surrounding environment conformity index, and matching a corresponding UAV inspection route for each identified abnormal terrain unit; collecting route data of the abnormal terrain units along the UAV inspection route; calculating the tree obstruction spatial distance conformity index based on the route data; performing tree obstruction hazard analysis based on the tree obstruction spatial distance conformity index to obtain the tree obstruction hazard level, and implementing differentiated early warning and handling strategies based on the tree obstruction hazard level.

The invention discloses a working condition alarm lamp with radar induction and ultrasonic expelling functions, and relates to the technical field of electric power safety prevention and control, and the working condition alarm lamp comprises a basic support module and a bearing system assembly; the sensing module is used for monitoring a target, collecting environment information, carrying out stereoscopic monitoring, obtaining a comprehensive monitoring index, carrying out danger analysis on the comprehensive index and judging whether expelling is needed or not; the warning and repelling module is used for warning and repelling based on the warning signal and the repelling signal output by the sensing module; the communication control module is used for planning system actions and remote management and control as a whole and carrying out data synchronization and instruction issuing; and the power supply module supplies power to the system components. According to the invention, a six-in-one framework is initiated for the first time, and the hericium erinaceus clamp realizes non-transformation installation of electric power facilities, radar and acoustics three-dimensional monitoring, misinformation reduction through a risk degree quantification algorithm, multi-mode warning and driving away from an adaptive scene, operation and maintenance cost reduction through cloud management and control, multi-energy complementary power supply and intelligent battery management, and guarantees field endurance.

This invention provides a facility risk assessment method and system for the Natech incident in a chemical industrial park, belonging to the field of accident risk management in chemical industrial parks. The method includes: acquiring information on chemical facilities and constructing risk analysis units; acquiring multiple hazard intensities and constructing spatially distributed hazard intensity fields for each; standardizing these fields based on the intensity-to-tolerance ratio; comparing each risk analysis unit with the corresponding hazard intensity in the spatially distributed hazard intensity field to obtain the failure probability; determining the corresponding initial accident type and the initial accident impact range; calculating and determining the secondary accident trigger probability of other risk analysis units; and determining the accident risk assessment result of the risk analysis unit based on the failure probability and the secondary accident trigger probability, thereby determining the accident risk assessment result of the entire industrial park under study. This method can couple multiple hazard analyses, improving the accuracy of risk level assessment in chemical industrial parks.

A portable electronic security system comprising at least two interconnected units that: - detect the distance between the units, - automatically trigger warning signals when a defined minimum distance is breached, - store movement and proximity data, - and can transmit the stored data to external devices or systems. Electronic distance monitoring system consisting of at least two portable trackers with individual, tamper-proof pair identification, that automatically detect approach below a defined distance threshold and trigger warning signals.

This application relates to a method and system for dynamic detection and early warning of leakage current in precision distribution cabinets. The method includes: configuring environmental, electrical, and leakage current sensor groups; importing historical data to complete system initialization; real-time parameter acquisition and multi-source verification to generate a reliable dataset; preprocessing data at an edge computing node, comparing the leakage current with a dynamic threshold, and generating a preliminary early warning if the threshold is exceeded; responding to the early warning by calling data and a historical database, calculating the correlation weight of parameters with the leakage current through an association analysis model, comparing the deviation of historical fluctuation ranges through a historical pattern model, and generating a potential hazard analysis report; determining the early warning level based on the weights and deviations in the report, and pushing a tiered early warning report; receiving maintenance feedback and handling records, updating the historical database, and optimizing model parameters to achieve closed-loop learning. This application improves fault diagnosis accuracy and maintenance efficiency through multi-source data fusion and model analysis.

The application relates to an aero-engine system testability design and evaluation method and device, and relates to the engine technical field.The method comprises the following steps: acquiring a requirement document and a function to-be-tested item list of an aero-engine; performing requirement decomposition according to the requirement document and the function to-be-tested item list, acquiring a function failure mode, influence and hazard analysis report and a function design report; performing implementation through component design according to the function design report, and acquiring a hardware failure mode, influence and hazard analysis report; and performing integrated and verified testability evaluation according to the function failure mode, influence and hazard analysis report, the hardware failure mode, influence and hazard analysis report and the function to-be-tested item list, so as to meet the requirements of the aero-engine. The method can be used for performing system testability design and evaluation on the aero-engine from the perspective of aero-engine forward design, and improving the quality and performance of the product.

The invention relates to a horizontal and vertical seismic oscillation multivariable recurrence period theoretical method, which comprises the following steps of: calculating a site probability seismic risk analysis result according to site risk analysis conditions; calculating a site probability earthquake risk decomposition result according to the site risk analysis condition and the site probability earthquake risk analysis result; constructing horizontal and vertical seismic oscillation edge distribution probability models based on a Copula function; constructing a horizontal and vertical seismic oscillation joint distribution probability model based on a Copula function and the horizontal and vertical seismic oscillation edge distribution probability model; and based on the horizontal and vertical seismic oscillation joint distribution probability model, establishing a horizontal and vertical seismic oscillation intensity parameter multivariable recurrence period model. According to the method, the basic theory of simultaneous overrunning, arbitrary overrunning and Kendall multivariable recurrence period of horizontal and vertical generalized strength parameter joint distribution is taken into consideration, so that the consistency of horizontal and vertical seismic oscillation multivariable dangers is improved.

The invention provides a large-scale civil unmanned transport aircraft airworthiness certification basis determination method and device, and belongs to the technical field of aviation, and the method comprises the steps: determining a model airworthiness evidence obtaining strategy and an airworthiness evidence obtaining type according to the model design characteristics and operation scenes of a large-scale unmanned transport aircraft and the model technical characteristics; according to a model airworthiness evidence obtaining strategy, determining an acceptable safety level of the aircraft, carrying out failure state and function danger analysis, and identifying key elements influencing the flight safety of the large unmanned transport aircraft; the method comprises the following steps: comparing and analyzing requirements related to key elements in a CCAR-25 standard and a CCAR-23 standard to obtain a standard comparison analysis table, and analyzing applicable airworthiness terms based on the requirements of aircraft models to obtain a preliminary airworthiness certification basis; and analyzing whether the aircraft design features are covered, supplementing uncovered parts, and obtaining a final airworthiness certification basis. According to the scheme, the airworthiness verification cost in model development is effectively reduced, and the airworthiness review efficiency is improved.

The invention relates to the field of vehicle function safety, and particularly provides a hazard analysis and risk assessment method and system based on scene classification, a terminal and a medium, and the method comprises the steps: recognizing a function failure mode of a target system, and determining the whole vehicle hazard caused by the function failure mode; establishing a scene type library formed by a plurality of preset scene types, wherein each scene type is defined by at least two dimensions of a self-vehicle working condition, a vehicle speed range, a driving behavior mode and a surrounding risk state; mapping the determined whole vehicle hazard to at least one related scene type where the hazard can occur in a scene type library to form a scene hazard event; and performing risk assessment on the scenarized hazardous event, determining the severity, the exposure rate and the controllability of the scenarized hazardous event, further determining the automobile safety integrity level of the scenarized hazardous event, and exporting a corresponding safety target and a safety state based on the automobile safety integrity level. According to the invention, the efficiency, objectivity and consistency of hazard analysis and risk assessment are improved.

The application provides a construction safety hazard analysis system and method based on image recognition, and relates to the technical field of safety hazard analysis.The method comprises the following steps: obtaining a digging video of excavated earthwork and a three-dimensional point cloud model of unexcavated earthwork; determining a plurality of initial safe digging points based on the three-dimensional point cloud model of the unexcavated earthwork; determining a plurality of preliminary digging routes based on the plurality of initial safe digging points and the three-dimensional point cloud model of the unexcavated earthwork, and each preliminary digging route passes through each initial safe digging point; generating a simulated digging video of each preliminary digging route based on the preliminary digging route, the three-dimensional point cloud model of the unexcavated earthwork and the digging video of the excavated earthwork; and determining a target digging route based on the simulated digging video of each preliminary digging route.The method can accurately determine the target digging route of earthwork excavation operation.

The invention belongs to the field of reliability design, and particularly relates to a data-driven aviation casing reliability design method, which comprises the following steps of: determining a main failure minimum probability index by combining risk analysis according to a fault hazard analysis result in potential failure analysis results, and forming a quantitative design criterion of typical parts; and performing criterion design coding on the failure configuration of the typical part, the qualitative design criterion of the structural strength reliability and the quantitative design criterion of the typical part. According to the method, a multi-layer and failure configuration of a structure-failure mode-failure mechanism of a cartridge receiver component is established, all potential failure mode data are managed by taking the configuration as a basic architecture of a database, and a structure reliability design criterion is extracted from design, processing, assembly and use right life cycle failure avoidance measures, so that the comprehensiveness of the design criterion is ensured, and the reliability of the cartridge receiver component is improved. And through database updating and a linkage mechanism with the design criterion, the real-time performance of the reliability design criterion is ensured.

According to the debris flow source monitoring method and system provided by the invention, feature integration processing is performed on the data monitoring features corresponding to each debris flow attribute data according to the matching data between the data monitoring features corresponding to each debris flow attribute data; and obtaining global data monitoring features corresponding to the debris flow source data set to be identified. And analyzing and processing the global data monitoring features to obtain an analysis result corresponding to the debris flow source data set to be identified. In the object source data set analysis processing task, the data monitoring features corresponding to the plurality of debris flow attribute data in the debris flow object source data set to be identified can be combined to obtain the global data monitoring features with better characterization force, and the object source hidden danger analysis result can be accurately obtained through the global data monitoring features. The analysis processing accuracy of the object source data set can be improved.