With the vigorous development of China's market economy, a new generation of artificial intelligence technology has also developed rapidly, which has strongly promoted the optimization and improvement of China's electrical automation control system. The use of artificial intelligence technology in power automation systems mainly has the following two advantages: it can reduce the manufacturing time of power products, thereby increasing the number of workers manufacturing power products and promoting enterprises to conduct larger-scale machine manufacturing, thereby improving the comprehensive economic benefits of enterprise machine manufacturing, but also improve the quality of manufactured products of electric power products. Since the machine control of artificial intelligence is more efficient than manual manufacturing, it reduces the manufacturing problems caused by the subjective factors of manufacturing workers to a certain extent and thus improves the qualification rate of machine production. Electrical engineering plays an important role in China's urban development, and automatic control is an important part of electrical engineering, which can have a direct impact on the quality of electrical engineering. Therefore, in order to promote the healthy development of cities in China, this paper studies the application of artificial intelligence technology in electrical engineering automation by analyzing relevant data, in order to provide a reliable basis for relevant personnel to carry out their work.
机构:
Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Cyber Secur, Bangi 43600, Selangor, Malaysia
Univ City Sharjah, Skyline Univ Coll, Sch Informat Technol, Sharjah 1797, U Arab EmiratesUniv Kebangsaan Malaysia, Fac Informat Sci & Technol, Ctr Cyber Secur, Bangi 43600, Selangor, Malaysia
机构:
Yunnan Power Grid Co Ltd, Informat Ctr, Kunming 650000, Yunnan, Peoples R ChinaYunnan Power Grid Co Ltd, Informat Ctr, Kunming 650000, Yunnan, Peoples R China
Ma, Wen
Huang, Zuyuan
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Yunnan Power Grid Co Ltd, Informat Ctr, Kunming 650000, Yunnan, Peoples R ChinaYunnan Power Grid Co Ltd, Informat Ctr, Kunming 650000, Yunnan, Peoples R China
Huang, Zuyuan
Hsu, Ching-Hsien
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Asia Univ, Dept Comp Sci & Informat Engn, Taichung 41354, TaiwanYunnan Power Grid Co Ltd, Informat Ctr, Kunming 650000, Yunnan, Peoples R China
Hsu, Ching-Hsien
Enrique Montenegro-Marin, Carlos
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Univ Dist Francisco Jose de Caldas, Fac Ingn, Bogota, ColombiaYunnan Power Grid Co Ltd, Informat Ctr, Kunming 650000, Yunnan, Peoples R China
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Luoyang Inst Sci & Technol, Foreign Language Dept, Luoyang, Henan, Peoples R China
Hunan Univ, Language & Cognit Ctr, Foreign Language Dept, Changsha, Hunan, Peoples R ChinaLuoyang Inst Sci & Technol, Foreign Language Dept, Luoyang, Henan, Peoples R China
Yang, Yan Cheng
Ul Islam, Saad
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Univ Swabi, Dept Comp Sci, Swabi, PakistanLuoyang Inst Sci & Technol, Foreign Language Dept, Luoyang, Henan, Peoples R China
Ul Islam, Saad
Noor, Asra
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Univ Swabi, Dept Comp Sci, Swabi, PakistanLuoyang Inst Sci & Technol, Foreign Language Dept, Luoyang, Henan, Peoples R China
Noor, Asra
Khan, Sadia
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Univ Swabi, Dept Comp Sci, Swabi, PakistanLuoyang Inst Sci & Technol, Foreign Language Dept, Luoyang, Henan, Peoples R China
Khan, Sadia
Afsar, Waseem
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Univ Swabi, Dept Comp Sci, Swabi, PakistanLuoyang Inst Sci & Technol, Foreign Language Dept, Luoyang, Henan, Peoples R China
Afsar, Waseem
Nazir, Shah
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Univ Swabi, Dept Comp Sci, Swabi, PakistanLuoyang Inst Sci & Technol, Foreign Language Dept, Luoyang, Henan, Peoples R China