Chen Jiange, Li Dewen, Liu Guoqing, Li Yanzhu, Zhang Anran, Lu Siyuan, Zhou Mi
School of Resources and Safety Engineering, Chongqing University, Chongqing 400044, China.
State Key Laboratory of the Gas Disaster Detecting, Preventing and Emergency Controlling, Chongqing 400037, China.
ACS Omega. 2023 Mar 28;8(14):13059-13067. doi: 10.1021/acsomega.3c00319. eCollection 2023 Apr 11.
In order to solve the problems of easy blockage and difficult maintenance of the current coal dust concentration sensor, a coal dust concentration sensor based on the electrostatic induction method was designed. Based on the analysis of the principle of electrostatic induction dust concentration detection, an electrostatic induction dust concentration sensor composed of a electrostatic detection electrode, a dust extraction fan, an induction signal processing circuit, an insulator, a shield, and other parts was designed. The influence of the length and width of the electrostatic detection electrode and the particle flow rate on the standard deviation of the induction signal was analyzed through experiments to optimize them. The induction signals on the electrostatic detection electrode at different dust concentrations were determined in tests, and the mathematical relationship between the standard deviation of the induction signal and the dust concentration was obtained. According to segment multiple-curve height fitting, the maximum deviation between the detected value and actual dust concentration does not exceed 10%.
为解决现有煤尘浓度传感器易堵塞、维护困难的问题，设计了一种基于静电感应法的煤尘浓度传感器。在分析静电感应粉尘浓度检测原理的基础上，设计了一种由静电检测电极、抽尘风机、感应信号处理电路、绝缘体、屏蔽罩等部分组成的静电感应粉尘浓度传感器。通过实验分析了静电检测电极的长度和宽度以及颗粒流速对感应信号标准差的影响，对其进行了优化。在试验中测定了不同粉尘浓度下静电检测电极上的感应信号，得到了感应信号标准差与粉尘浓度之间的数学关系。经分段多曲线高度拟合，检测值与实际粉尘浓度的最大偏差不超过10%。
