Selecting the Best Control Strategy for Thermal Environments via Optimization Analysis Techniques

• Main Author: 杜信弘
• Other Authors: 蔡朋枝
• Format: Others
• Language: zh-TW
• Published: 2001
• Online Access: http://ndltd.ncl.edu.tw/handle/10562015769098141843

碩士 === 國立成功大學 === 環境醫學研究所 === 89 === This study was set out to use one of systematic optimization analysis techniques in order to initiate the best control strategy for various thermal environments. Considering the dry-heat and wet-heat environment might result in different heat stress on exposed human bodies, the above two types of thermal environments were included. The whole study can be divided into three parts. In the first part of this study, a physiological-based thermal health-hazard empirical assessing model (i.e., ISO-7933) was used to evaluate the heat strain for the given thermal environment. Via the use of a non-linear programming system and the multiple attribute decision making (MADM) analysis technique, the optimized environmental factor combination (including dry-ball temperature, humidity, and wind speed) was determined under the conditions that both the maximum allowable exposure time (AET) and the best cost/benefit were reached and workers’ core temperatures were kept below 38 ℃. In the second part of this study, a thermal exposure chamber was set up in order to control the environmental factors for appropriately assessing workers’ health hazards under various thermal environments. For the third part of the study, we focussed on using the above thermal exposure chamber to assess the validity of the proposed control strategies that obtained from the first part of study for both the dry-heat and wet-heat environments. The result of this study shows that proposed systematic optimization analysis technique was able to initiate feasible control strategies for both types of thermal environments. In addition, the set-up thermal exposure chamber was found able to remain the stability and uniformity of various prescribed environments combinations (i.e., dry-ball temperature = 1~5%, globe temperature=1~7%humidity = 1~6%, and wind speed≦10%). Particularly, the theoretical predicted AET values were similar to those obtained from thermal exposure chambers when tested under the resultant environment combinations(i.e., AET≦30 min), although the AET values obtained from the exposure chambers had larger variations(i.e., S.D=2~150). In conclusion, the systematic optimization analysis technique proposed by this study is believed will be helpful for the industrial hygienists to initiate effective and cost/benefit control strategies for both the dry-heat and wet-heat thermal environments.