Human error mode influence analysis method

Abstract

The invention provides a human error mode influence analysis method, which comprises the following steps: 1. Human-computer interaction task flow analysis and function model establishment, and human-computer system function model establishment for each sub-task; 2, human error pattern recognition, and finally obtain various human error patterns and their correspond standard probabilities in that task process; 3, construction of environmental impact factor system and determination of parameters; 4, human error probability calculation and human error mode influence analysis, human error probability calculation and human error mode influence on the functional unit and the final task; through the above steps and methods, the relationship between each function is clarified, and the EPC factor in the analysis task is quantified by means of HEART method, which achieves the goal of quantifying the effect of human error mode, and solves the practical problems of comprehensive evaluation of human error mode.

Description

technical field [0001] The present invention provides a human error mode impact analysis method, which is a semi-quantitative impact analysis method for human error modes in a complex man-machine system based on task process sorting and considering the impact of human-computer interaction and situational environment. This method combines all the human error patterns that may occur in the human-machine system task process identified by the cognitive reliability and error analysis method (CREAM) human error pattern classification framework. The influence of condition (EPC) factor is used to quantify the probability of human error mode, which belongs to the technical field of human factor reliability analysis. Background technique [0002] People are usually monitors and decision makers in the operation of large and complex systems, so people have a very important impact on product reliability during product use, and human error has become one of the most important causes of sy...

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Problems solved by technology

Among them, the system change rate of the easy-to-solve system is extremely low, and the system can be decomposed directly according to the task implementation steps, while the work of the difficult-to-solve system is not routine, and the same situation rarely occurs repeatedly, and the system changes A high rate means that the system behaves irregularly and is likely to be unstable, so it cannot be defined in detail and unambiguously, and breaking it down is pointless

The man-machine loop complex system is such a difficult system, the traditional fault mode recognition and impact analysis methods are not applicable to the man-machine system

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