智慧电厂环境监测与风险预警系统研究与应用
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Research and Application of Environmental Monitoring and Risk Early Warning System for Smart Power Plants
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    摘要:

    为满足水电厂环境监测与风险预警高效化、智能化需求,设计了一套监测预警系统。通过对 水、船、物、人等数据的感知,保障了水域可视化以及工厂安全。利用智能视频设备与AI智能分析平台对大坝关键位置进行实时监控,报告水位和流速情况,完成漂浮物告警弹窗与船舶智能分析;基于智慧消防物联网平台与AR全景可视化系统,实现仪表智能读取与告警联动。智慧电厂实测结果与现场勘察一致,能够为水域管理及故障识别提供全面的数据支撑。

    Abstract:

    In order to meet the high-efficiency and intelligent requirements of environmental monitoring and risk warning of hydropower plants, a set of monitoring and early warning systems is designed. Through the perception of "water, ship, object and person" and other data, the visualization of the water area and the safety of the factories were guaranteed. Intelligent video equipment and AI intelligent analysis platform were used to monitor the key position of the dam in real-time, which reported the situation of water level and velocity, and completed the floating object warning window and intelligent analysis of ships. Based on the intelligent fire protection platform and AR panoramic visualization system, the intelligent reading and alarm linkage of the instrument were realized. The measured results of the smart power plant were consistent with the field survey,which can provide comprehensive data support for water area management and fault identification.

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于春泽.智慧电厂环境监测与风险预警系统研究与应用[J].科技与产业,2021,21(04):244-251

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  • 在线发布日期: 2021-04-22
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