人工智能技术在水电安全生产的应用研究及实践

Application Research and Practice of Artificial Intelligence Technology in Hydropower Safety Production

人工智能作为一种新兴的技术力量,促进社会生产力的整体跃升,推动传统产业升级换代,驱动“无人经济”快速发展。首先从技术演进的角度,阐述了人工智能技术的发展历程。然后重点介绍了新一代人工智能技术多模态大跨越的深度学习技术。最后聚焦水电安全生产领域,分析了人工智能技术在电子围栏功能、人员着装检测、仪器仪表检测、烟雾烟火识别、跑冒滴漏识别、高处作业监测等方面的典型应用场景。特别是通过跑冒滴漏识别算例的应用实践,奠定了深度学习技术在水电安全生产应用的研究方向和应用场景,可为未来水电安全生产智能化研究发展提供参考依据和技术基础。

Artificial intelligence,as an emerging technological force,promotes the overall leap in social productivity,promotes the upgrading and replacement of traditional industries,and drives the rapid development of the "unmanned economy".This article first elaborates on the development process of artificial intelligence technology from the perspective of technological evolution.Then,the focus is on the deep learning technology of the new generation of artificial intelligence technology,which involves multimodal leapfrogging.Finally,focusing on the field of water and electricity safety production,typical application scenarios of artificial intelligence technology in electronic fence functions,personnel clothing detection,instrument and meter detection,smoke and smoke recognition,identification of running,emitting,dripping,and leaking,and monitoring of high-altitude operations were analyzed.Especially through the application practice of identifying examples of running,emitting,dripping,and leaking,the research direction and application scenarios of deep learning technology in the application of hydropower safety production have been established,which can provide reference and technical basis for the future development of intelligent research on hydropower safety production.