Abstract
Abstract
Aiming at the problem of difficulty in detecting the velocity of coal dust particles in pneumatic conveying coal dust pipelines, this study is based on electrostatic induction method and urban block distance algorithm to achieve accurate detection of coal dust velocity in dust conveying pipelines. Firstly, the principle of electrostatic induction is introduced in this paper. The dust particles with static electricity can sense fluctuation signals on the surface of the metal detector electrode. Then two electrostatic sensors are designed and installed on the upstream and downstream of the dust conveying pipeline. The actual flow velocity of coal dust is obtained by using the urban block distance method to analyze the electrostatic induction signals generated with the two sensors. Compared with the current cross-correlation algorithm, the urban block distance method has the advantage of better real-time performance and less computation. Finally, the experimental results show that the detection error of the coal dust velocity detection technology based on the electrostatic method and the urban block distance method is small, and the maximum absolute error does not exceed 0.16m/s compared with the velocity of the airflow. The results are reliable and effective.