With the rapid development of the photovoltaic industry, photovoltaic construction management is facing more and more challenges. Traditional construction management methods have been unable to meet the needs of modern photovoltaic construction management. In order to solve this problem, this article proposes a photovoltaic construction management method based on unmanned aerial vehicle (UAV) AI recognition technology by studying intelligent construction and utilizing advanced information technologies such as the Internet of Things, big data, and BIM. By elaborating on intelligent data organization, AI recognition algorithms, and UAV AI recognition technology architecture, the basic principles and application methods of UAV AI recognition technology are introduced in detail. Through practical applications in multiple projects, the feasibility and effectiveness of the photovoltaic construction management method based on UAV AI recognition technology are verified. The results show that the method can greatly improve the efficiency and quality of photovoltaic construction management, and realize the rapid, efficient and accurate management of photovoltaic construction projects. Meanwhile, this method can also provide strong support for the intelligent management of subsequent operation and maintenance of photovoltaic power stations, promoting the sustainable development of the photovoltaic industry.

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Research on Photovoltaic Construction Management Based on UAV AI Recognition Technology

  • Fang Wang,
  • Shasha Chen,
  • Weiqian Sun,
  • Ruyin Zhang,
  • Lihua Zhang,
  • Shengcai Lv,
  • Guangcai Ren

摘要

With the rapid development of the photovoltaic industry, photovoltaic construction management is facing more and more challenges. Traditional construction management methods have been unable to meet the needs of modern photovoltaic construction management. In order to solve this problem, this article proposes a photovoltaic construction management method based on unmanned aerial vehicle (UAV) AI recognition technology by studying intelligent construction and utilizing advanced information technologies such as the Internet of Things, big data, and BIM. By elaborating on intelligent data organization, AI recognition algorithms, and UAV AI recognition technology architecture, the basic principles and application methods of UAV AI recognition technology are introduced in detail. Through practical applications in multiple projects, the feasibility and effectiveness of the photovoltaic construction management method based on UAV AI recognition technology are verified. The results show that the method can greatly improve the efficiency and quality of photovoltaic construction management, and realize the rapid, efficient and accurate management of photovoltaic construction projects. Meanwhile, this method can also provide strong support for the intelligent management of subsequent operation and maintenance of photovoltaic power stations, promoting the sustainable development of the photovoltaic industry.