Dynamoelectric system safety analyzing device and method based on cause-effect network model

Abstract

The invention relates to a system safety analyzing device and method based on a causality network model, the device comprises a fault model information base, a safety analyzing process module, a process data managing module, a safety analyzing scheduling module and a man-machine interaction module. By adopting the system safety analyzing device and method based on the causality network model, the invention can rapidly and accurately recognize key positions of equipment system, thereby rationally and pertinently configuring system safety source or establishing rational prevention maintenance measures, solving the defects of arranging maintenance relying on personal knowledge or experience, not only increasing stability of safety operation of production equipment, but also improving use efficiency of enterprise limit source to a great extent.

Description

technical field [0001] The invention relates to a safety analysis device and method for an electromechanical system, in particular to a safety analysis device and method for an electromechanical system based on a causal network model. Background technique [0002] For some large-scale electromechanical equipment (or systems), especially the key equipment in metallurgy, petrochemical and power industries, its failure often causes catastrophic consequences. We don't expect post-event diagnosis and repair work, but hope to do as much as possible in advance prevention and maintenance. Therefore, it is very important to model the fault causal knowledge of the electromechanical equipment system, analyze its causal mechanism, find those sensitive parts of the system and formulate reasonable preventive maintenance measures. Due to the complex structure of large electromechanical equipment and various failure modes, and there is no simple one-to-one correspon...

AI Technical Summary

Problems solved by technology

Due to the complex structure of large-scale electromechanical equipment and various failure modes, and there is no simple one-to-one correspondence between failure modes and components, it is difficult to determine the safety-sensitive parts of the equipment system

Traditional safety analysis methods such as Safety Checklist (SCL), Preliminary Hazard Analysis (PHA), Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), Hazard Operability Analysis (HAZOP), etc. , Consequence and hazard analysis provides sufficient support, but it focuses on the analysis of a single fault, which cannot guarantee the accuracy of the complex system safety analysis under the joint action of multiple factors

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