组合赋权聚类-双基点模型的井下人体热舒适评价

Evaluation of underground human thermal comfort of combinatorial empowerment clustering-double basis model

针对井下人体热舒适性评价不准确、评价指标少等问题,以蒋家河煤矿工作面为例,选取环境温度等13个评价指标,构建井下人体热舒适评价指标模型.采用主客观赋权的方法计算各指标权重,引入拉格朗日函数,优化决策模型,通过欧式距离建立两者联系,确定两种方法偏重系数,计算各指标的理想组合权重,构建组合赋权聚类-双基点综合评价模型,利用矩阵实验室软件计算准则层指标贴进度矩阵.研究结果表明:井下热舒适影响较大的前5个因素排序为环境温度>皮肤温度>风速>湿度>口腔温度;该工作面热舒适评价值为0.619,人体热舒适性为"舒适"等级.

Aiming at the problems of inaccurate evaluation of underground human thermal comfort and few evaluation indexes,taking the working face of Jiangjiahe coal mine as an example,13 evaluation indexes such as ambient temperature were selected to construct the evaluation index model of underground human thermal comfort.The weight of each index was calculated by subjective and objective weighting method,and the decision model was optimized by introducing Lagrange function,and the relationship between them was established by Euclidean distance.The weighted coefficients of the two methods were determined,the ideal combination weights of each index were calculated,the"AHP+entropy method"CW-TOPSIS comprehensive evaluation model was constructed,and the progress matrix of criteria layer index was calculated by MATLAB software.The results show that the top five factors that have a greater influence on underground thermal comfort are ambient temperature>skin temperature>wind speed>humidity>oral temperature.The thermal comfort evaluation value of the working face is 0.619,and the thermal comfort of human body is rated as"comfortable"grade.