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.