Intelligent slurry level measurement system of coal mine based on SVM
- Resource Type
- Conference
- Authors
- Guo, Hua; Zhang, Xuejing; Yang, Wenya; Zhuang, Jinshan; Zhu, Mengjuan; Kong, Le; Han, Qinglin; Zhang, Zhiying
- Source
- 2022 Prognostics and Health Management Conference (PHM-2022 London) PHM-LONDON Prognostics and Health Management Conference (PHM-2022 London), 2022. :483-488 May, 2022
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Engineering Profession
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Support vector machines
Liquids
Neural networks
Predictive models
Prediction algorithms
Filling
Coal mining
Coal Filling Mining
Level Measurement
Smart Sensor
SVM
Data Fusion
- Language
- ISSN
- 2166-5656
The filling mining technology is a new trend in coal mining. This paper designs an intelligent sensor system for slurry level measurement of pulping station. Multi-sensor data fusion and the SVM algorithm are adopted for training of collected liquid level values, and compared with the BP neural network, the MSE of the liquid level prediction results obtained using our method is 73.7% lower. This system cannot only address the current state requiring manual monitoring of mixing tank slurry level in coal mine filling system, but can also be used to accurately measure the liquid levels in other complicated industrial applications.