基于微服务架构的智慧供热控制技术研究

Research on Smart Heating Control Technology Based on Microservice Architecture

传统供热系统普遍面临能耗高、响应慢、管理烦琐等问题,难以满足现代城市对供热效率与用户舒适度的双重需求。因此,探索了一种创新的智慧供热控制技术,实现对供热系统的智能化管理与优化,通过结合微服务架构与自适应优化算法,提出了一种新型供热控制方法,该方法能够实现对不同供热需求的动态响应与调整,确保系统高效运行,同时设计了一种多目标自适应算法(multi-objective genetic algorithm,MOGA),用于优化供热控制中的能耗、响应时间和成本。实验结果表明,相较于传统供热系统,微服务供热系统在不同场景下均展现出显著的节能效果,并且负荷预测模型的精度也得到了大幅提升。期望能够为智慧供热控制技术的研发提供新的思路,也为城市供热系统的智能化管理提供有力支持。

Traditional heating systems generally face problems such as high energy consumption,slow response,and cumbersome management,making it difficult to meet the dual demands of modern cities for heating efficiency and user comfort.Therefore,an innovative smart heating control technology has been explored to achieve intelligent management and optimization of the heating system.By combining microservice architecture with adaptive optimization algorithms,a new heating control method has been proposed,which can dynamically respond and adjust to different heating demands to ensure efficient system operation.At the same time,a multi-objective genetic algorithm(MOGA)has been designed to optimize energy consumption,response time,and cost in heating control.The experimental results show that compared to traditional heating systems,microservice heating systems exhibit significant energy-saving effects in different scenarios,and the accuracy of load forecasting models has also been greatly improved.This study is expected to provide new ideas for the development of smart heating control technology,and provide strong support for the intelligent management of urban heating systems.