Engineering Technology and Applications – Shao, Shu & Tian (Eds)
© 2014 Taylor & Francis Group, London, ISBN 978-1-138-02705-3
Research on the underground power quality optimization and control
based on cloud computing TaskScheduler algorithm
Zhou Lv
Institute of Mechatronic Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, China
ABSTRACT: Changes have taken place in the multi-variable prediction structure of cloud com-
puting TaskScheduler algorithm applied to coal mine underg round ventilation capacity. This paper
discusses the use of cloud computing TaskScheduler algorithm to detect the underground power
supply capacity quality, the use of FPGA to sample 16-way AC signals and perform 64 harmonic
analysis fusion, as well as a cloud