Design of Intelligent Heating Control System for Thermal Power Plant Based on the Cloud Computing
冷江潼 LENG Jiang-tong
（国能哈密煤电有限公司大南湖电厂，哈密 839000）
（China Energy Hami Coal and Electricity Co.，Ltd. Dananhu Power Plant，Hami 839000，China）
摘要： 本文设计一种基于云计算的热电厂智能供热控制系统，以提高热电厂供热效率和降低能源浪费。首先，讨论热电厂供热控制系统存在的问题，包括能耗较高、效率较低、运行不稳定等方面的挑战。其次，建立了基于云计算平台的数据采集模型，实现了对热电厂供热系统各参数的实时监测和数据采集。然后，利用机器学习算法对大量数据进行训练和优化，建立了智能供热控制模型，实现了对供热系统的智能化调控。最后，通过与传统供热控制系统进行对比试验，结果表明，基于云计算的智能供热控制系统在热电厂供热效率和能源利用率方面均取得了显著的提升。
Abstract: This article designs an intelligent heating control system for thermal power plants based on cloud computing to improve heating efficiency and reduce energy waste. Firstly, the problems of the heating control system of thermal power plant are discussed, including the challenges of high energy consumption, low efficiency and unstable operation. Secondly, the data acquisition model based on the cloud computing platform is established to realize the real-time monitoring and data acquisition of the heating system parameters of the thermal power plant. Then, machine learning algorithm is used to train and optimize a large number of data, and an intelligent heating control model is established to realize the intelligent regulation of the heating system. Finally, through the comparison test with the traditional heating control system, the results show that the intelligent heating control system based on cloud computing has achieved significant improvement in the heating efficiency and energy utilization of the thermal power plant.
关键词：云计算；热电厂智能供热；控制系统；长短记忆网络
Key words: cloud computing；intelligent heating for thermal power plant；control system；long and short memory network
中图分类号：TM621 文献标识码：A 文章编号：1006-4311（2024）27-109-03 doi:10.3969/j.issn.1006-4311.2024.27.032
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