【摘要】 随着物联网、智能设备、移动互联为代表的新一代ICT技术在水电行业的广泛应用,水电数据资产开始急剧增长并形成巨大规模。"数据资产的管理与利用,实现数据资产增值"既是水电企业面临的机遇,也是挑战。为使大数据技术更好服务于水电行业,基于水电行业大数据管理需求提出水电工业大数据平台架构及关键技术,并通过多数据源融合的水泵水轮机故障预测与健康管理模型验证笔者提出的大数据平台架构技术可行性与适用性。更多还原

【Abstract】 With the wide application of the new generation of ICT technology represented by the Internet of things, intelligent equipment and mobile interconnection in the hydropower industry, the hydropower data assets have increased rapidly and formed a huge scale. "The management and utilization of data assets and the realization of data assets appreciation" are both opportunities and challenges for hydropower enterprises. In order to make the large data technology better serve the hydropower industry, the large data platform architecture and key technology of the hydropower industry are proposed based on the large data management requirements of the hydropower industry. The feasibility and applicability of the large data platform architecture technology proposed by the author is verified by the model of water pump turbine failure prediction and health management of multi data sources.更多还原