根据热量传递机理建立了智能服装中光纤布拉格光栅人体测温的热传递物理模型, 对人体、空气层和服装之间的热传递进行了有限元建模和稳态热分析, 确定了智能服装中光纤布拉格光栅温度场的数学模型, 利用该数学模型对光纤布拉格光栅测量温度值进行了修正。在多点加权皮肤平均温度的基础上, 提出了由左右胸、左右腋和后背五处皮肤温度构成的智能服装人体温度加权模型。由克拉默法则得出了智能服装人体温度加权系数: 左前胸为0.0826, 左腋为0.3706, 右腋为0.3706, 后背为0.0936, 右前胸为0.0826。人体穿着智能服装的实验结果表明, 基于光纤布拉格光栅的智能服装温度检测动态范围为33~42℃, 人体温度测量误差为±0.2℃, 可应用于人体温度的高精度监测。

A functioning prototype of intelligent biomedical clothing is introduced. It aims at the integration of optical fibers based sensors into functional textiles for extending the capabilities of wearable solutions for body temperature monitoring. According to the laws of human body physiology and heat transmission in fabric, the mathematical model of heat transmission between body and clothed FBG sensors is studied and the steady-state thermal analysis using ANSYS software is presented. The actual human body temperature can be corrected by the simulation results. Based on the skin temperature by a multi-weighted average, five points weight coefficient model using both sides chest, both sides axilla and back for the intelligent clothing human body temperature is presented. Using Cramer's Rule, the weighted coefficient of 0.0826 for left chest, 0.3706 for left axilla, 0.3706 for right axilla, 0.0936 for back and 0.0826 for right chest is obtained. Experimental results show that it can detect the temperature of the dynamic around the 33~42℃ and the analysis of a deviation is ±0.2℃. It can be applied to the human body temperature monitoring.