摘要
通过对便携式代谢率检测系统误差模型进行蒙特卡罗仿真,得到最终误差指标,通过改进测试电路和多传感器数据融合,在非标定条件下实现了仪器的代谢率测试准确度要求。针对温度传感器测试模块进行了误差分析和改进,精度达到0.15℃(RMS)。通过极大似然估计对改进电路进行数据融合,保证整个测试过程中温度测试误差在0.124℃(RMS)以内,满足了批量生产的高准确度要求,避免了标定过程,降低了生产成本。
In this paper,utilizing Monte Carlo simulation on the error model of portable metabolic rate detection sys-tem,obtained the final error indicators. Improved test circuit and used multi-sensor data fusion to achieve metabolic rate test instrument accuracy requirements in non-calibrated conditions. Through sensor error analysis and improve-ment,the accuracy of temperature test module of the project reached 0.15 ℃（RMS）. In addition,through the maxi-mum likelihood estimate of the improvement circuit for data fusion,it can ensure that the test error is 0.124℃（ RMS） or less throughout the temperature testing process,meet the requirements of high accuracy of mass index,avoided the calibration process,reduced the cost of production.
出处
《传感技术学报》
CAS
CSCD
北大核心
2014年第11期1490-1494,共5页
Chinese Journal of Sensors and Actuators
基金
国家863项目(2011AA040406)
关键词
代谢率检测
误差统计分析
数据融合
温度传感器
metabolic rate detection
error statistical analysis
data fusion
temperature sensor
