熵因子和生活因子相融合的步进滑摔模糊判断  

Fuzzy Judgment of Step Slip Based on Fusion of Entropy Factor and Life Factor

作　　者：陈慧敏[1,2] 张永振[2] 陈德强 杜三明[2] 上官宝[2] CHEN Huimin;ZHANG Yongzhen;CHEN Deqiang;DU Sanming;SHANGGUAN Bao(Wuhan Research Institute of Materials Protection,China Academy of Machinery Science&Technology,Wuhan 430030,China;National United Engineering Laboratory for Advanced Bearing Tribology,Henan University of Science&Technology,Luoyang 471023,China)

机构地区：[1]机械科学研究总院武汉材料保护研究所,湖北武汉430030 [2]河南科技大学高端轴承摩擦学技术与应用国家地方联合工程实验室,河南洛阳471023

出　　处：《河南科技大学学报（自然科学版）》2021年第1期7-11,I0001,共6页Journal of Henan University of Science And Technology:Natural Science

基　　金：国家自然科学基金项目(51175149,51405134)。

摘　　要：为建立人体步进滑摔与各影响因素之间的复杂关系,基于模糊数学和信息熵理论,提出了基于模糊信息熵融合生活因子的步进滑摔模糊判断方法。将滑摔因素熵因子与生活因子相融合,建立了步进滑摔模糊判断的综合数学模型。利用六自由度试验平台测得各影响因素的实际摩擦因数,由试验数据确定的客观权重与生活常识确定的主观权重结合起来,提高了权重确定的科学性。研究结果表明:人体行走时,步速及地面加速度对滑摔的影响较为显著,步长对滑摔的影响最小。试验结果与生活实际相吻合,表明本文建立的模糊判断模型对于步进滑摔主要原因的判断是可行的。A fuzzy judgment method based on fuzzy information entropy fusion of life factors was proposed in order to establish the complex relationship between the human step slip and the various influencing factors according to fuzzy mathematics and information entropy theory. A comprehensive mathematical model of step slipping fuzzy judgment was established by integrating the entropy factor and the life factor.The actual friction factor of different influencing factors was measured by the six degree of freedom test platform. Combining the objective weight determined by the test data with the subjective weight determined by common sense of life,the scientificity of weight determination was improved. The results show that walking speed and ground acceleration affect slipping significantly,and the effect of step length is the least. The experimental results are consistent with the slipping tendency in real life,which show that the fuzzy judgment model established in this paper is feasible and effective for judgment of the main slipping reason when walking.

关 键 词：熵因子 步进滑摔 权重确定 模糊判断 数据融合 

分 类 号：TH117.1[机械工程—机械设计及理论] TB17.3[生物学—生物工程]