基于NB-IoT的水电站大规模洞室群体智能照明研究

Research on Intelligent Lighting of Large Scale Cavern Group of Hydropower Station Based on NB-IoT

本研究以大型水电站的地下洞室群体照明为对象,针对其在特殊运行环境中的管理需求,研发了一套综合性照明管理系统。该系统充分考虑了洞室群在电力传输、交通、应急逃生、通风换气及生产生活用水等方面关键功能,同时应对由于隧洞布局的复杂性带来的挑战。采用分层分区的控制策略,并整合智能预测与强化学习技术,优化照明布局并实现亮度的动态调节。通过多平台的互联互通以及云平台的数据管控,系统不仅确保了洞室内部工作的有效进行,还注重资源的合理配置和能源的节约,有效地解决了大规模洞室群照明系统在管理控制和能源消耗方面的问题。该系统的实施,为水电站洞室群体管理的高效智能化提供了新的视角,对提高电站的稳定性和安全性有着重要的贡献。

In this study,the underground cave group lighting of large hydropower stations is targeted,and a comprehensive lighting management system has been developed for its management needs in a special operating environment.The system fully considers the key functions of the cavity group in terms of power transmission,transportation,emergency escape,ventilation gas exchange,and production of production of life.At the same time,the challenges brought by the complexity of the tunnel layout.The stratified partition control strategy is adopted,and intelligent prediction and strengthening learning technology are integrated,and the dynamic adjustment of the lighting layout and realizing brightness is optimized.Through the interconnection of multiple platforms and the data control of the cloud platform,the system not only ensures the effective carrier of the internal work of the cave,but also pays attention to the reasonable allocation of resources and the savings of energy.Effectively solve the problems of large-scale cave group lighting systems in management control and energy consumption.The implementation of the system provides a new perspective for the efficient and intelligent management of the water power station hole group management,and has contributed to improving the stability and security of the power station.