堆肥物料容重、温度对频域反射传感器检测模型的影响

Influence of Bulk Density and Temperature of Composting Materials on Detection Accuracy of Frequency Domain Reflection Sensor

为探究堆肥物料容重和温度对频域反射法(FDR)含水率检测结果的综合影响规律,以猪粪和秸秆混合物料为研究对象,以基于FDR技术的FDS-100型水分传感器为检测仪器,研究了堆肥物料的含水率(35%~65%)、容重(602.41~758.58 kg/m^(3))和温度(25~65℃)对传感器检测精度的影响,建立了传感器检测值与物料含水率、容重及温度之间的响应曲面模型,并对模型进行可行性分析。通过烘干法检测值与模型计算值建立了FDR水分传感器检测值与物料含水率之间的综合检测数学模型,并验证了模型准确性。结果表明:根据模型计算值与实际含水率的绝对误差范围为-1.1%~4.3%,平均绝对值误差为2.27%。本研究对开发具有容重和温度补偿功能的FDR堆肥物料含水率传感器的综合检测模型有指导作用。

In order to investigate the comprehensive influence of bulk density and temperature of composting materials on the detection results of water-frequency reflectance(FDR) moisture content, the pig manure and straw mixture were used as research objects, and the FDS-100 moisture sensor based on FDR technology was used for detection. The instrument studied the influence of moisture content(35%~65%), bulk density(602.41~758.58 kg/m^(3)) and temperature(25~65°C) on the detection accuracy of the composting materials, and established the sensor detection value and material moisture content. The response surface model between bulk density and temperature, and the feasibility of the model is analyzed. A comprehensive detection mathematical model between the FDR moisture sensor detection value and the material moisture content was established by the calculated values of the model and the drying method, and the accuracy of the model was verified. The results show that the absolute error range based on the calculated values of the model and the drying method is-1.1%~4.3%, and the relative error range is-2.8%~4.58%. This study has a guiding role in the development of a comprehensive detection model for the FDR composting material moisture content sensor with weight and temperature compensation.