Operating Comfort Prediction Model of Human-Machine Interface Layout for Cabin Based on GEP

TL;DR

This paper introduces a model to predict operating comfort in cabin interface layouts using GEP, improving design efficiency.

Contribution

The novel contribution is a GEP-based model for predicting operating comfort using joint angles and factor analysis.

Findings

Operating comfort can be predicted using joint angles reduced to four factors via factor analysis.

The GEP model showed fast and efficient prediction of operating comfort in a driller control room layout.

The model improved design efficiency and provided good prediction results.

Abstract

In view of the evaluation and decision-making problem of human-machine interface layout design for cabin, the operating comfort prediction model is proposed based on GEP (Gene Expression Programming), using operating comfort to evaluate layout scheme. Through joint angles to describe operating posture of upper limb, the joint angles are taken as independent variables to establish the comfort model of operating posture. Factor analysis is adopted to decrease the variable dimension; the model's input variables are reduced from 16 joint angles to 4 comfort impact factors, and the output variable is operating comfort score. The Chinese virtual human body model is built by CATIA software, which will be used to simulate and evaluate the operators' operating comfort. With 22 groups of evaluation data as training sample and validation sample, GEP algorithm is used to obtain the best fitting function between the joint angles and the operating comfort; then, operating comfort can be predicted quantitatively. The operating comfort prediction result of human-machine interface layout of driller control room shows that operating comfort prediction model based on GEP is fast and efficient, it has good prediction effect, and it can improve the design efficiency.

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