| 陈小惠,王桌培,王悠苒,张永芳,吕亚帅,王晶鑫.基于臀部红外测量的神经网络体温算法研究[J].电子测量与仪器学报,2017,31(9):1453-1458 |
| 基于臀部红外测量的神经网络体温算法研究 |
| Research on neural network body temperature algorithm based on hip infrared measurement |
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| DOI：10.13382/j.jemi.2017.09.016 |
| 中文关键词: 偏最小二乘法 人工神经网络 红外测温 补偿模型 |
| 英文关键词:partial least squares artificial neural network infrared temperature measurement compensation model |
| 基金项目: |
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| Author | Institution |
| Chen Xiaohui | College of Automation, Nanjing University of Posts and Telecommunications,Nanjing 210023,China |
| Wang Zhuopei | College of Automation, Nanjing University of Posts and Telecommunications,Nanjing 210023,China |
| Wang Youran | College of Automation, Nanjing University of Posts and Telecommunications,Nanjing 210023,China |
| Zhang Yongfang | College of Automation, Nanjing University of Posts and Telecommunications,Nanjing 210023,China |
| Lv Yashuai | College of Automation, Nanjing University of Posts and Telecommunications,Nanjing 210023,China |
| Wang Jingxin | College of Automation, Nanjing University of Posts and Telecommunications,Nanjing 210023,China |
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| 中文摘要: |
| 红外测体温的精度受到多种因素的影响，具有非线性和高度复杂性的特点。为了提高红外测体温的精度，分析了环境温度、测量距离、发射率等对红外测体温精度的影响。研究了基于臀部的红外体温测量方法，建立了由臀部体表温度转化为人体实际体温的温度场扩散模型，利用偏最小二乘法和人工神经网络对温度场模型进行优化补偿，有效的解决了各影响因素之间多重相关性的问题和补偿模型的非线性问题,提高了系统的可靠性。实验结果表明，所提出的红外测体温补偿模型测温误差范围在-0.12~0.11 ℃，具有更高的测量精度且适应性更强。 |
| 英文摘要: |
| The accuracy of infrared body temperature measurement is affected by many factors, which is characterized by non linearity and high complexity. In order to improve the accuracy of infrared body temperaturemeasurement, the influence of ambient temperature, measurementdistance and emissivity on the accuracy of infrared body temperature measurement analyzed. The temperature field diffusion model of the hip surface temperature is transformed into the actual body temperature of the human body. The partial least squares method and the artificial neural network are used to optimize the temperature field model, which effectively solves the problem of the temperature field diffusion method. The problem of multiple correlation between influencing factors and the nonlinear problem of compensation modelare served effectively, and the reliability of the system is improved. The experimental results show that the temperaturemeasurement error of the proposed infrared temperature compensation model is -0.12~0.11 ℃, which has higher measurement accuracy and stronger adaptability. |
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