人工智能在光伏安全检测中的应用研究
Research on The Application of Artificial Intelligence in Photovoltaic Safety Detection
康勇 1田顺红1
作者信息
- 1. 北京京能清洁能源电力股份有限公司北京分公司
- 折叠
摘要
随着光伏产业的快速发展,光伏安全问题日益凸显.本文介绍了人工智能技术在光伏安全检测中的应用,包括总体设计方案、预警模型、系统功能设计、方案建设和技术实现.同时,本文分析了人工智能在光伏安全检测中的优势和局限性,并展望了未来的发展趋势.结果表明,人工智能技术能够提高光伏安全检测的效率和准确性,能够实现远程监控和智能化管理,能够降低人工成本和风险.然而,其也存在对数据质量和数量的要求、技术成熟度的限制、法律法规问题等挑战.未来,人工智能技术在光伏安全检测领域仍有很大的发展空间.
Abstract
With the rapid development of photovoltaic power plants,the problem of photovoltaic safety is becoming increasingly prominent.This paper introduces the application of artificial intelligence technology in PV safety detection,including the overall design scheme,early warning model,system function design,program construction and technical realization.It also analyzes the advantages and limitations of AI in PV safety detection and looks forward to the future development trend.The results show that AI technology can improve the efficiency and accuracy of PV safety detection,realize remote monitoring and intelligent management,and reduce labor costs and risks.However,there are also challenges such as requirements for data quality and quantity,limitations on technology maturity,and legal and regulatory issues.In the future,there is still a lot of room for development of AI technology in the field of PV safety detection.
关键词
光伏安全/人工智能/图像识别/深度学习/预警模型Key words
Photovoltaic safety/Artificial intelligence/Image recognition/Deep learning/Warning model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据