The Intelligent Control of Emulsion Pump Station
Creators
- 1. School of Electrical and Information Engineering, Heilongjiang University of Technology, Jixi (China)
Description
Emulsion pump is one of the key equipment of coal mining working face. With the development of comprehensive mining technology of underground coal mine, the single machine power of emulsion pump station is increasing constantly. Domestic emulsion pump manufacturers have developed an emulsion pump with an installed capacity of 315KW. How to ensure the continuous safe and stable operation of emulsion pump is of great significance to the efficient and safe production of coal mine. It is urgent for the coal mine to operate the emulsion pump station safely and efficiently. By analyzing the demand of intelligent control system of emulsion pump station, the operation target and performance requirement of the system are defined. By establishing the prediction model of shearer speed, the power demand of hydraulic support is judged. The fluid supply line of emulsion pump station is modeled by AMESim software, and the pressure loss model is simulated and analyzed. The power matching control technology is introduced into the pump station control system to judge the power demand of hydraulic support and optimize the output of emulsion pump station. The experimental platform of the power matching intelligent control system of the emulsion pump station was built and verified by experiments. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/1881/2/022044Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 1881
- Journal Issue
- 2
- Journal Page Range
- [6 p.]
- ISSN
- 1742-6596
Conference
- Title
- 2. International Conference on Computing and Data Science (CONF-CDS)
- Dates
- 28-30 Jan 2021
- Place
- Stanford, CA (United States)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53082019
- Subject category
- S01: COAL, LIGNITE, AND PEAT; S42: ENGINEERING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COAL MINES; COAL MINING; COMPUTER CODES; COMPUTERIZED SIMULATION; CONTROL SYSTEMS; EMULSIONS; HYDRAULICS; PERFORMANCE; POWER DEMAND; WORKING FACES
- Descriptors DEC
- COLLOIDS; DEMAND; DISPERSIONS; FLUID MECHANICS; MECHANICS; MINES; MINING; SIMULATION; UNDERGROUND FACILITIES