Dynamic human reliability analysis method and device for multi-unit nuclear power plant

Abstract

A method for dynamic human reliability analysis of a multi-unit nuclear power plant comprises that follow steps: first, modeling a human error event by using a dynamic event tree, analyzing human error of an operator of the multi-unit nuclear power plant, and determining a type of human error and a potential human error; 2, construct a causal model of human error based on that Bayesian network andthe data guide modeling technology, and calculating nominal human error probabilities of various human error by using the model; 3, establish a function of that behavior forming factor with respect to the time variable base on the numerical solution method of the inverse problem, and establishing a calculation format of the dynamic human error probability according to the obtained function relation; 4, analyze that dynamic feedback loop in the model established in the step 1 by use the system dynamics, and combining the calculation result in the step 2 and the calculation format of the dynamic human error probability established in the step 3, constructing a dynamic reliability quantitative analysis model, and calculate the quantitative calculation value of the human factor reliability.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to View More

AI Technical Summary

Benefits of technology

This patented technology allows operators to analyze how their equipment works under different conditions based primarily upon its own performance capabilities or environmental impact caused by external influences like radiation exposure. It also includes an algorithm called Multiplexed Error Correction (MEC) that uses multiple units together to improve the efficiency of data processing operations while reducing errors introduced during calculations. By analyzing these features over time, it becomes possible to better identify any potential issues affecting the machine's ability to perform certain tasks such as ensuring safety and maintaining high levels of confidence within regulatory guidelines set forth in various regulations. Overall, this innovation provides technical means for understanding and improving the quality control process associated with multifunctionality systems used at large scale.

Problems solved by technology

This patents discuss various methods used during assessment of Multi Unit Operator Compliance (MOC). However, these conventional approaches have limitations when applied at this stage due to factors like shared resources, environmental effects, interference caused by other devices operating within one area, and interactions between elements themselves. These issues affect both safety measures and performance indicators based on MCOC data.

Images