摘要
在水力发电领域，设备持续稳定运行对供电可靠性与经济效益影响深远。智能化维护管理系统应运而生，其集成多种前沿技术，借助传感器网络全方位采集设备运行数据，运用大数据与智能算法精准剖析，实时监测、提前预警故障，智能规划维修策略，优化资源调配，强化远程协同，全方位降低停机风险、缩减停机时长，为水电产业高效运转赋能，推动能源供给稳定前行。
关键词： 智能化；水力发电；设备维护；停机时间；预测性维护
Abstract
In the field of hydropower generation, the continuous and stable operation of equipment has a profound impact on power supply reliability and economic benefits. Intelligent maintenance management systems have emerged to meet this need. They integrate various cutting-edge technologies, using sensor networks to collect comprehensive operational data from equipment. By leveraging big data and smart algorithms for precise analysis, they enable real-time monitoring, early fault warnings, intelligent maintenance planning, optimized resource allocation, and enhanced remote collaboration. This approach comprehensively reduces downtime risks and minimizes downtime duration, empowering the efficient operation of the hydropower industry and promoting stable energy supply.
Key words： Intelligent; Hydroelectric power generation; Equipment maintenance; Downtime; Predictive maintenance
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