大数据技术应用于火电机组深度调峰的研究

根据大数据技术的特点,针对火电机组深度调峰的重点问题,探讨大数据技术应用于火电机组深度调峰研究的具体方向和实现方案,提出针对机组炉侧和机侧的具体应用策略,包括在炉侧燃料智能掺配、燃烧数据分析、火焰燃烧稳定性检测问题上运用大数据技术的方案架构和机侧在汽轮机滑压运行智能优化、汽轮机安全智能诊断方向上的应用步骤,并阐明如何基于大数据平台完善这些应用并利用大数据技术确保机组的安全性和经济性。

According to the characteristics of big data technology and the key problems of deep peak shaving for thermal power units, the concrete direction and realization scheme of applying big data technology to the research of deep peak shaving for therlnal power units are discussed, and the specific application strategies for the boiler side and the machine side of the unit are put for ward. Including the scheme structure of applying big data technology to the intelligent blending of fuelside, the analysis of combus tion data, the detection of flame combustion stability, and the application steps of the machineside in the intelligent optimization of steam turbine sliding pressure operation and the intelligent diagnosis direction of steam turbine safety. It also explains how to perfect these applications based on big data platform and how to use big data technology to ensure the safety and economy of the unit.