Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (11A): 688-692.doi: 10.11896/jsjkx.201100200

• Interdiscipline & Application • Previous Articles     Next Articles

Research on Intelligent Control Technology of Accurate Cost for Unit Confirmation in All Links of Power Transmission and Transformation Project Based on Edge Computing

LUAN Ling1, PAN Lian-wu2, YAN Lei2, WU Xiao-lin2   

  1. 1 Shenyang Power Supply Company of State Grid Liaoning Electric Power Company Limited,Shenyang 110000,China
    2 State Grid Liaoning Electric Power Company Limited,Shenyang 110006,China
  • Online:2021-11-10 Published:2021-11-12
  • About author:LUAN Ling,born in 1978,BE,deputy senior economist.Her main research interests include intelligent cost control and edge computing.
  • Supported by:
    Science and Technology Project of State Grid Corporation of China(SGLNSY00HLJS2002775).

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Abstract: In order to further improve the refinement level of the cost management of power transmission and transformation projects,the precise cost control technology confirmed by the whole link unit of power transmission and transformation projects is studied in-depth.First of all,the existing problems such as the lack of accurate measurement method,lack of mature control technology and the difficulty in coordinating the caliber of each link unit are analyzed in detail.Then,the intelligent control model of accurate cost of the whole link unit confirmation of power transmission and transformation project based on edge computing is constructed.The model is optimized by immune particle swarm optimization algorithm based on hybrid strategy.The cost calculation model of each link of power transmission and transformation project built by edge computing greatly shortens the calculation delay time and reduces the cost of data redundancy.Finally,immune particle swarm optimization algorithm is adopted to optimize the model to get rid of the disadvantage that traditional optimization algorithm is easy to fall into local optimal.Immune particle swarm optimization makes model data processing more efficient and accurate.The algorithm further realizes the advantage of high reliability of edge computing collaboration,and realizes the high precision cost control system of each unit in the whole link.

Key words: Edge computing, Immune particle swarm optimization, Intelligent cost control, Power transmission and transformation project

CLC Number: 

  • TP391
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