Direct air-cooled units are significantly affected by environmental conditions during actual opera-tion,and operators rely on experience to regulate back pressure,leading to the inability of the unit to oper-ate at the optimal back pressure.This severely affects the economic and operational safety of the unit.Tak-ing a 600MW direct air-cooled unit as the research object,based on the demand for monitoring and optimi-zation,an optimization model is established using the random forest algorithm to successfully developed a smart optimization guidance platform for air-cooled islands.The software platform uses tools such as Python,SQLServer,and HTML5 to implement functions such as back-end data collection&model training and front-end interface display.This platform provides a monitoring environment for air-cooled equipment to operators and offers guidance for optimizing the back pressure of air-cooled units.
关键词
直接空冷/最佳背压/随机森林/软件开发/运行优化
Key words
Direct Air-cooled/Optimal Back Pressure/Random Forest/Software Development/Operational Optimization
维普
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