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Research on Water Resources Intelligent Management of Thermal Power Plant Based on Digital Twins

机译：基于数字双胞胎的热电厂水资源智能管理研究

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With the development of industry digitization, and the convergence of industry and the internet, the digital twin technology was widely used in many industries, thermal power plants were big users of water, the intelligent management of the whole plant water resource system had become inevitable. This paper expounded the digital twin theory, and the power plant in Shandong province was taken as an example, the theory and method of digital twinning were applied, advanced information technologies such as internet of things technology, cloud computing and big data analysis were used, the thermal power plant water resource intelligence management system had been constructed, the intersection and fusion among physical layer, data layer, model layer and function layer were completed, and the application of water resource intelligence management system in thermal power plants was analyzed. The results show that: this system had realized the factory water balance figure of automatic updates, water balance, dynamic test and application analysis, the water system of water, water quality of three dimensional display, dynamic analysis and evaluation, trend prediction, etc. It guided the water adjustment and optimization of the whole plant, the electricity consumption had been reduced, water use efficiency and efficiency were improved, the discharge of wastewater had been reduced, the amount of water extracted per unit of generating capacity was reduced from 1.90m3/MW to 1.21m3/MW in this plant, it could reduce the fresh water intake by about 800,000 tons per year, which had good economic and social benefits. It would be an important part of future smart power plants to set an example for the intelligent management of water resources for the whole plant.
机译：随着行业数字化的发展，以及行业和互联网的融合，数字双胞胎技术广泛应用于许多行业，热电厂是水的大用户，整个植物水资源系统的智能化管理已经变得不可避免。本文阐述了数字双胞胎理论，山东省电厂为例，应用了数字孪生的理论和方法，使用了技术互联网技术，云计算和大数据分析等先进的信息技术，已经构建了火电厂水资源智能管理系统，分析了物理层，数据层，模型层和功能层之间的交叉点和融合，分析了水资源智能管理系统在火电厂中的应用。结果表明：该系统已实现工厂水平自动更新，水平，动态试验和应用分析，水系统的水，水质三维显示，动态分析和评价，趋势预测等。它引导了整个植物的水调整和优化，电力消耗降低，水使用效率和效率得到了改善，废水排放已减少，每单位发电量提取的水量从1.90米降低 3 / mw到1.21米 3 / MW在这种植物中，它可以将淡水摄入量减少约80万吨，具有良好的经济和社会效益。将成为未来智能电厂的重要组成部分，为整个植物制定智能管理智能管理的示例。

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