基于光纤光栅传感器的人体体表温度场模型

Model of human body skin temperature field based on fiber grating sensor

针对人体热量传递过程的高度复杂性导致难以对其进行准确数学描述的问题,提出将BP神经网络结合光纤布喇格光栅(FBG)温度测量系统用于人体体表温度场建模,通过在人体体表有限位置测量实现人体体表温度场分布的获取。实验结果表明:该预测模型的最大误差仅为0.33℃,所建立的三维温度分布图与实际温度分布相符。

In view of the high complexity of human heat transfer process, it is difficult to describe the mathe- matical description accurately. The human skin temperature field model is established by the BP neural net- work and the fiber Bragg grating （FBG） temperature measurement system. By measuring the limited position of the human body skin, the human body skin temperature distribution can be obtained. The experiment re- suits show that the maximum error of the prediction model is only 0.33 ℃, and the three-dimensional tempera- ture distribution map is consistent with the actual temperature distribution.