Open AccessSTUDY ON OPERATION AND MAINTENANCE RESOURCE SCHEDULING METHOD OF POWER GRID MARKETING SYSTEM BASED ON SENSITIVITY CLUSTERING
Author(s) -
Lin Qiao,
Qingyang Song,
Xue Wang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/631/4/042003
Subject(s) - computer science , cluster analysis , scheduling (production processes) , grid , power grid , fair share scheduling , distributed computing , engineering , schedule , power (physics) , operating system , machine learning , operations management , physics , geometry , mathematics , quantum mechanics
Aiming at the problem of low precision in operation and maintenance resource scheduling of traditional power grid marketing system, a method of operation and maintenance resource scheduling of power grid marketing system based on sensitivity clustering is proposed. Use operation and maintenance technology to collect key data of power grid, application operation state and online data of operation supporting environment, and integrate resources. On this basis, resource scheduling processing is carried out after analyzing resource scheduling requirements. The resource table and corresponding resource fields are selected to obtain the operation and maintenance resource scheduling set of the power grid marketing system, so as to realize the operation and maintenance resource scheduling of the power grid marketing system. The experimental results show that this method is more accurate than the traditional one and has practical application significance.