12 results about "System accident" patented technology

The invention provides a circuit breaker action coil current characteristic diagnosis and analysis system and method. Belongs to the technical field of power system automation and substation state monitoring. The method comprises the following steps: carrying out synchronous wave recording on current of a plurality of circuit breaker actuating coils on a direct current feeder screen side to generate multi-channel synchronous wave recording data; meanwhile, SOE message information is collected, a circuit breaker with specific action is automatically matched and positioned by utilizing a timestamp and action identification information in an SOE message, and action circuit breaker positioning data is generated; the current waveform data of the circuit breaker actuating coil are collected in real time, and a high-precision algorithm is used for feature extraction and analysis, so that abnormal fluctuation in current change can be accurately captured, such as overlarge starting current and unstable holding current, the risk of misoperation or rejection of operation of the circuit breaker caused by abnormal current characteristics is reduced, and the service life of the circuit breaker is prolonged. Electric power system accidents caused by equipment faults are avoided, and the operation reliability of the circuit breaker is improved.

The application provides a circuit breaker operating coil current characteristic diagnosis and analysis system and method. It belongs to the technical field of power system automation and substation state monitoring. The method comprises the following steps: synchronously recording the current of a plurality of circuit breaker operating coils on the DC feeder line screen side to generate multi-channel synchronous recording wave data; collecting SOE message information at the same time, using the time stamp and action identification information in the SOE message to automatically match and locate the specific action circuit breaker, and generating action circuit breaker positioning data; through real-time collection of the current waveform data of the circuit breaker operating coil and the use of high-precision algorithms for feature extraction and analysis, abnormal fluctuations in current changes can be accurately captured, such as excessive starting current and unstable maintenance current, thereby reducing the risk of circuit breaker misoperation or refusal caused by abnormal current characteristics, avoiding power system accidents caused by equipment failure, and improving the reliability of circuit breaker operation.

The present invention provides an intelligent analysis system for porcelain insulators that combines mechanical and electrical properties, and relates to the field of monitoring data processing technology. The present invention can accurately track the path, speed, and direction of pollution flashover propagation from the starting porcelain disk to other porcelain disks by fusing multimodal images and time series analysis, thereby realizing dynamic modeling of the pollution flashover evolution process, effectively breaking through the limitations of the traditional static assessment model, and significantly improving the real-time and accuracy of risk assessment. The present invention marks the earliest pollution abnormal porcelain disk as the starting point of pollution flashover propagation through retrospective analysis of the integrated fusion abnormal points, and constructs a propagation chain and time series, which helps to identify key node porcelain disks and establish fault prediction logic based on evolutionary relationships. Through the dual-channel triggering mechanism, the early warning capability is significantly improved, ensuring that intervention can be made in the early stages of the risk, effectively preventing flashover from spreading to the entire string of insulators and causing system accidents.

The invention belongs to the technical field of nuclear power plant operation management, and particularly relates to an accident diagnosis general regulation automatic execution and online updating method and device, and the method comprises the steps: S1, carrying out the standardized analysis of an input DEC regulation design file, and outputting a DEC regulation analysis file; the DEC regulation analysis file comprises the extracted node object and the node criterion condition thereof, and a basic version expression of the generated node object described according to the node criterion condition. And S2, processing the DEC regulation and the DEC regulation analysis file into a picture file and a data object file which can be displayed and processed in the KIC system, and issuing the picture file and the data object file to the KIC system. And S3, carrying out online updating on the DEC regulation picture. Under a KIC software framework, the DEC regulation is processed in a standardized, digital and intelligent mode, the problem that the accident regulation of an original DCS two-layer KIC system has the possibility of human errors is solved, and meanwhile the accuracy of the regulation is guaranteed through online updating.

The invention discloses a power grid system accident monitoring and early warning system, which is characterized in that through combination of discrete wavelet transform and adaptive reclosing logic, combination of random walk and a Skip-Gram model, and combination of principal component analysis and a variational auto-encoder, dimensionality reduction and fusion are carried out on multiple types of feature vectors, so that low-dimensional efficient expression of multi-dimensional features is realized; the method improves the data processing efficiency, distributes dynamic weights for different types of features through the combination of improved Bayesian reasoning and a Transform model, carries out the weighted splicing, inputs the dynamic weights to a deep learning model for training, achieves the more accurate recognition of the operation state of a power grid, achieves the recognition of the operation state of the power grid through the combination of the construction of a hexagonal network and the improved A * algorithm, and achieves the recognition of the operation state of the power grid. According to the method, rapid path planning of the accident report is realized, and a smooth and stable transmission path is generated through combination of the Bezier curve and the dynamic reachability threshold, so that the real-time performance of data transmission is improved.

The present invention discloses a dynamic state estimation method for a distribution network based on adaptive set membership filtering, including: 1. Collecting distribution parameters and measurement information; 2. Establishing a dynamic state estimation model considering unknown but bounded noise, transforming the hybrid measurement data, linearizing the measurement function, and establishing a linear dynamic state estimation model in combination with a linear state prediction equation; 3. Time update, determining a prior estimate ellipsoid containing the current state ellipsoid based on the previous state ellipsoid and the system state equation; 4. Adaptive bad data detection, defining an adaptive detection threshold to identify and eliminate bad data in the measurements; 5. Measurement correction, using the measurement function and the measured value to correct the state prediction value, and determining a posterior estimate ellipsoid containing the current prior estimate ellipsoid and the measurement update ellipsoid. The present invention can achieve high-precision dynamic state estimation in an environment where the noise is unknown but bounded, can effectively identify and eliminate bad data when the measurement set contains bad data, and is of great significance for formulating the operation plan of the power system and preventing power system accidents.

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 invention discloses a power system accident reserve capacity demand evaluation method and device based on dynamic threshold and climbing occurrence time interval selection and a medium, and belongs to the technical field of power system operation and control, and the method comprises the steps: collecting new energy historical data, and carrying out the preprocessing; identifying a new energy power climbing event based on an improved revolving door algorithm; screening the new energy power climbing events, and recording the screening as a first round of screening; performing a second round of screening on the screened new energy power climbing events; and carrying out climbing accident reserve capacity demand estimation on the new energy power climbing events after the second round of screening. The method has the beneficial effects that through a dynamic threshold screening mechanism, the rapid climbing event which has the greatest threat to the power system is accurately identified; according to the classification method based on the load time period and the climbing direction, the climbing events are divided into three types of upward climbing in the valley time period, downward climbing in the peak time period and continuous bidirectional climbing, and refined evaluation of standby requirements is achieved.

The application provides a high-temperature gas cooled reactor operation state evaluation system and method, and belongs to the technical field of high-temperature gas cooled reactors. The system comprises: a first priority evaluation unit for evaluating the health state of a pressure boundary system, a post-accident monitoring system and a reactivity control system, and controlling the power station unit to be prohibited from running when any system is in an unhealthy state; a second priority evaluation unit for evaluating whether a fuel loading and unloading system, a helium purification system and a nuclear island cold source system are in an unhealthy state, and controlling the power station unit to be limited to run when any system is in an unhealthy state and the evaluation result of the first priority evaluation unit is healthy; and a third priority evaluation unit for evaluating whether a start and stop system, a water vapor system, a steam turbine and an auxiliary system are in an unhealthy state, and controlling the power station unit to be run with defects when any system is in an unhealthy state and the evaluation results of the first priority evaluation unit and the second priority evaluation unit are both healthy, thereby facilitating efficient operation of the power station.

The invention discloses a cross-dimensional data fusion diagnosis method for accident tripping of a power system, belongs to the technical field of power systems, and aims to solve the problems of single data dimension, difficulty in fault feature extraction, low diagnosis efficiency, backward diagnosis model, low automation degree and insufficient algorithm generalization capability and adaptability in the prior art. Comprising the following steps: S1, acquiring multi-source data; s2, preprocessing and fusing the data; s3, performing tripping diagnosis analysis; s4, automatically generating a report; s5, a diagnosis result is pushed; according to the invention, by covering multiple types of data such as equipment telemetering and telesignalling, weather and defects, the limitation of single data is broken through, information islands are eliminated, and tripping accidents caused by environmental factors and equipment hidden dangers can be accurately reflected; through cleaning, integration, association and noise and abnormal value removal, high-quality training resources are formed, a reliable data basis is provided for a diagnosis model, and diagnosis deviation is avoided.

The invention belongs to the technical field of safety production management and accident analysis, and particularly discloses a limited space poisoning suffocation accident risk evolution path deduction method and system. According to the method, multiple historical cases are concluded and analyzed, and a multi-level system accident cause model is constructed; performing quantitative analysis on the historical accident case data by applying a related data mining algorithm so as to establish a quantitative association relationship among the cause factors; receiving one or more initial risk factors input by a user, and deducing and identifying a risk path according to the established quantitative association relationship; and comprehensively evaluating the identified risk path, determining a key risk factor combination, and generating a decision analysis report containing preventive management and control suggestions. The problems that traditional accident analysis is insufficient in depth and the process is difficult to quantify are solved, a scientific, quantitative and highly targeted basis is provided for safety management decision, and scientificity and effectiveness of limited space operation safety management are remarkably improved.

The invention provides a porcelain insulator intelligent analysis system combining mechanical and electrical performance, relates to the technical field of monitoring data processing, and can accurately track the transmission path, speed and direction of pollution flashover from a starting porcelain plate to other porcelain plates by fusing multi-modal images and time sequence analysis, thereby improving the analysis accuracy of the pollution flashover. Dynamic modeling of the pollution flashover evolution process is achieved, the limitation of a traditional static evaluation mode is effectively broken through, and the real-time performance and accuracy of risk evaluation are remarkably improved. According to the method, through backtracking analysis of comprehensive fusion abnormal points, the earliest pollution abnormal porcelain plate is marked as a starting point of pollution flashover propagation, and a propagation chain and a time sequence are constructed, so that key node porcelain plates can be identified, and fault prediction logic based on an evolution relation is established. And through a double-channel triggering mechanism, the early warning capability is remarkably improved, intervention can be performed in the early risk stage, and flashover is effectively prevented from spreading to the whole string of insulators to cause system accidents.