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电力大数据:2019,22(5):-
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火电厂智慧水务关键技术及信息平台建设研究
(1.中国水利水电科学研究院;2.大唐环境产业集团股份有限公司 大唐(北京)水务工程技术有限公司;3.丹东太平湾发电厂)
Research on Key Technologies and Information Platform Construction of Smart Water in Thermal Power Plants
(1.China Institute of Water Resources and Hydropower Research,Beijing;2.Datang Environment Industry Group Co., Ltd., Datang (Beijing) Water Engineering Technology Co., Ltd.;3.Taiping Bay Power Plant,Dandong)
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投稿时间:2018-07-15    修订日期:2018-10-28
中文摘要: 针对火电厂耗水量大、能耗物耗高、水复用率低、智能化水平低等关键科学技术难题,基于智慧水务研究成果,提出火电厂智慧水务关键技术及信息平台建设的研究方法。根据火电厂水务信息化面临的现状及形势,确立研究的总体、具体目标。融合现场监测资料和智能分析理论和方法,提出水量平衡智能测算方法,建立火电厂污水处理主要设备的故障诊断及寿命预测智能方法,构建火电厂水处理系统历史和实时成本测算模型。提出了信息平台的网络架构、体系架构和逻辑架构设计方案,信息平台融合火电厂水务管理专家辅助决策系统、火电厂系统运行关键设备及构筑物可靠性分析与评价模型等。为实现集节水型、节能型、环保型、安全型、经济型为一体化的智能火电厂水务管理提供技术支撑。
Abstract:Aiming at the key scientific and technological problems of thermal power plant, such as large water consumption, high energy consumption, low water reuse rate and low intelligence level, a research method of key technologies and information platform construction of smart water in thermal power plants were proposed in this paper based on the research results of smart water. According to the status quo and situation faced by thermal power plant water informationization, the overall and specific objectives of the research are established.Combining on-site monitoring data and intelligent analysis theory and methods, the intelligent calculation method of water balance was put forward, the fault diagnosis and life prediction intelligent method of main equipment for thermal power plant wastewater treatment were established, and the historical and real-time cost estimation model of thermal power plant water treatment system was constructed. The network architecture, architecture and logical architecture design scheme of the information platform are proposed. The information platform integrated the auxiliary decision-making system of the water management of the thermal power plant, the key equipment of the thermal power plant system operation and the reliability analysis and evaluation model of the structure. This may provide a technical support for achieving water management of intelligent thermal power plants integrating water-saving, energy-saving, environmentally friendly, safe and economical.
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