ew 23(1):

Research Article

The construction schedule of medium voltage overhead distribution network is optimized based on neural network algorithm

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  • @ARTICLE{10.4108/ew.3716,
        author={Xue Li and Tao Yan and Yi Tan},
        title={The construction schedule of medium voltage overhead distribution network is optimized based on neural network algorithm},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={10},
        number={1},
        publisher={EAI},
        journal_a={EW},
        year={2023},
        month={8},
        keywords={medium voltage overhead distribution network, construction schedule prediction, CNN algorithm model, BP algorithm model},
        doi={10.4108/ew.3716}
    }
    
  • Xue Li
    Tao Yan
    Yi Tan
    Year: 2023
    The construction schedule of medium voltage overhead distribution network is optimized based on neural network algorithm
    EW
    EAI
    DOI: 10.4108/ew.3716
Xue Li1, Tao Yan1,*, Yi Tan1
  • 1: Yunnan Power Grid Co
*Contact email: amoore8607@mymail.stratford.edu

Abstract

INTRODUCTION: The field of mechanical engineering technology is an emerging technical field with many research directions, and there are many directions of intersection with other disciplines, among which the field of mechanical engineering has outstanding research advantages. With the continuous development of mechanical engineering technology, the research direction of mechanical engineering applied to the field of mechanical engineering is also continuously enriched and developed. Mechanical engineering research focuses on realizing the monitoring and control of the dynamic performance of mechanical systems, as well as realizing the integration of design and system control. OBJECTIVES: In order to improve the disassembly efficiency, reduce the disassembly cost and disassembly energy consumption, it is optimized using social engineering methods to achieve better results and reduce the disassembly cost and energy consumption. METHODS: Aiming at the drive and anti-skid control strategy of four-wheel hub motor, it was simulated using improved social engineering algorithms, and based on this, three road recognition algorithms were selected for low, medium, and high adhesion road verification. RESULTS: Through the study of automobile anti-skid control system, the basic structure of automobile anti-skid control system is summarized and some solution measures are proposed. A new type of drive anti-skid control system is proposed for the problems of high vibration and noise of automobile brake. The drive anti-slip control system is characterized by simple structure, easy maintenance, simple control and reliable operation, and high operation  efficiency. CONCLUSION: This study shows that the system not only has excellent drive anti-slip effect, but also has good control performance. In addition, this drive anti-slip system is able to ensure the safe and reliable operation of mechanical brakes in various harsh environments. This new drive anti-slip control system is a new type of drive device that can be widely used for driving force on various mechanical brakes and drive wheels, and the study of this device is of great significance.