Application of Artificial Intelligence in Mechanized Construction of Power Grid Engineering

Chunan Luo, Yong Wu, Shaofang Li, Chu-guang Liang
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Abstract

Artificial intelligence is one of the most disruptive science and technologies at present, with strong processing capabilities in computational intelligence, perceptual intelligence and cognitive intelligence. This paper expounds two applications of artificial intelligence in the mechanized construction of power grid engineering, namely the application of BIM building model and BP neural network in emergency rescue of mechanized construction, and the application of artificial intelligence in the positioning and sway prevention of tower cranes. The application of artificial intelligence in the mechanized construction of power grid projects improves the rescue work of rescuers, ensures the personal safety of construction workers, and enables tower cranes to quickly locate and eliminate swings. The corresponding links of its application are described in detail in this paper.
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人工智能在电网工程机械化施工中的应用
人工智能是当前最具颠覆性的科学技术之一,在计算智能、感知智能和认知智能等方面具有很强的处理能力。本文阐述了人工智能在电网工程机械化施工中的两种应用,即BIM建筑模型和BP神经网络在机械化施工应急救援中的应用,以及人工智能在塔吊定位防摇中的应用。人工智能在电网工程机械化施工中的应用,提高了救援人员的救援工作,保证了施工人员的人身安全,使塔吊能够快速定位和消除摆动。本文对其应用的相应环节进行了详细的描述。
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Evaluation of Network Security State of Industrial Control System Based on BP Neural Network Operation Characteristics and Thermal Stability of Conductor Splice Tube under Overheat Operation Fatigue Damage Simulation Analysis Prediction Model of Power Grid Project Duration Based on BP Neural Network Self-Adaptive Knowledge Embedding for Large-Scale Electronic Component Knowledge Graph 2022 the 4th World Symposium on Artificial Intelligence (WSAI)
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