基于机器辅助和人工智能的机器人自动化技术在配电网架空线工程中的应用

Q3 Engineering

EAI Endorsed Transactions on Energy Web Pub Date : 2023-05-30 DOI:10.4108/ew.3717

Yi Tan, Yunhui Wang, Xue Li, Meng Li

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引用次数: 0

摘要

摘要:人工智能技术在智能时代背景下的发展显示出蓬勃的生机与活力，而人工智能融合的机器人自动化技术可以辅助人力完成各种高难度的操作，配电网架空线路作为目前输电线路配备的主要方式，对于国内电力输送和区域电力安全具有重要意义。目的:为了降低操作人员的劳动强度，减少停电事故的发生，保证供电的可靠性，探讨机器辅助和人工智能的机器人自动化技术在配电网架空线工程中的应用。方法:配电网运行智能机器人将电网线路中的波速信息通过传感器传输给计算机系统，计算机系统将电网线路中的波速转换为架空线路的波速，可以为混合线路中波速不一致的问题提供一个很好的解决方案。结果:在工作现场，集成人工智能技术的人工智能配电网载电作业机器人在配电网架空线路工程布线中具有良好的应用效果。结论:机器人自动化技术融合了人工智能的优势，可以依靠传感器系统和计算机系统感知和识别事物，并能自主控制自身行为，自动化处理复杂动作，具有一定的感知、规划和协同能力，可应用于配电网架空线路工程。

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Application of robot automation technology based on machine assisted and artificial intelligence in distribution network overhead line engineering

INTRODUCTION: The development of artificial intelligence technology in the context of the intelligent era shows vigorous vigor and vitality, and artificial intelligence fusion of robotic automation technology can assist manpower to complete all kinds of difficult operations, distribution network overhead line as the current power transmission lines equipped with the main way for domestic power transmission and regional power safety is of great significance. OBJECTIVES: In order to reduce the labor intensity of operators, reduce the occurrence of power outages, and ensure the reliability of power supply, we discuss the application of robotic automation technology of machine-assisted and artificial intelligence in the distribution network overhead line project. METHODS: Distribution network with power operation intelligent robot will grid lines in the wave speed information through the sensor transmission to the computer system, the computer system will grid lines in the wave speed converted to the wave speed of the overhead line, can be mixed lines in the wave speed inconsistent problem to provide a good solution. RESULTS: At the scene of the work, the artificial intelligence distribution network power-carrying operation robot integrating artificial intelligence technology has a good application effect for the wiring in the distribution network overhead line project. CONCLUSION: Robot automation technology incorporates the advantages of artificial intelligence, can rely on sensor systems and computer systems to perceive and identify things, and can autonomously control their own behavior, automated processing of complex actions, with a certain degree of perception, planning and collaborative ability, can be applied to the distribution network overhead line project.

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来源期刊

EAI Endorsed Transactions on Energy Web Energy-Energy Engineering and Power Technology

CiteScore

2.60

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： With ICT pervading everyday objects and infrastructures, the ‘Future Internet’ is envisioned to undergo a radical transformation from how we know it today (a mere communication highway) into a vast hybrid network seamlessly integrating knowledge, people and machines into techno-social ecosystems whose behaviour transcends the boundaries of today’s engineering science. As the internet of things continues to grow, billions and trillions of data bytes need to be moved, stored and shared. The energy thus consumed and the climate impact of data centers are increasing dramatically, thereby becoming significant contributors to global warming and climate change. As reported recently, the combined electricity consumption of the world’s data centers has already exceeded that of some of the world''s top ten economies. In the ensuing process of integrating traditional and renewable energy, monitoring and managing various energy sources, and processing and transferring technological information through various channels, IT will undoubtedly play an ever-increasing and central role. Several technologies are currently racing to production to meet this challenge, from ‘smart dust’ to hybrid networks capable of controlling the emergence of dependable and reliable green and energy-efficient ecosystems – which we generically term the ‘energy web’ – calling for major paradigm shifts highly disruptive of the ways the energy sector functions today. The EAI Transactions on Energy Web are positioned at the forefront of these efforts and provide a forum for the most forward-looking, state-of-the-art research bringing together the cross section of IT and Energy communities. The journal will publish original works reporting on prominent advances that challenge traditional thinking.