Published April 1, 2021 | Version v1
Journal article

The Intelligent Control of Emulsion Pump Station

  • 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/10.1088/1742-6596/1881/2/022044

Additional details

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