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作 者:李文杰 王涛[1] 张兵 陶学攀 李登泰 LI Wenjie;WANG Tao;ZHANG Bing;TAO Xuepan;LI Dengtai(School of Information and Electrical Engineering,Shandong Jianzhu University,Ji'nan 250101,China;Shandong Taixiang Valve Co.,Ltd,Ji'ning 272101,China)
机构地区:[1]山东建筑大学信息与电气工程学院,山东济南250101 [2]山东太祥阀门有限公司,山东济宁272101
出 处:《软件导刊》2024年第7期72-79,共8页Software Guide
基 金:山东省自然科学基金项目(ZR2022MF267)。
摘 要:随着国家“双碳”政策的持续推进与发力,节能减排问题越来越受到关注。城镇范围内的集中供热系统作为目前最常见的取暖方式,耗能十分巨大,因而在保证舒适度的前提下,实现供热能耗的降低意义重大。对常见的集中供热温控方法进行分析,充分挖掘实际温度与温控面板设定温度误差的变化趋势,对历史误差序列进行改进灰色模型预测,获得预测误差,将实际误差与预测误差同时作为模糊控制的输入,建立模糊规则使模糊控制器输出调节参数,共同调节PID控制,减小误差,使原有控制策略提前响应,调控系统趋向平衡,减少过程能耗,以达到节能减排目的。通过MATLAB仿真实验,结果表明该方法响应及时,实现了舒适度前提下的节能,有助于“双碳”目标的实现。With the continuous promotion and efforts of the national"dual carbon"policy,energy conservation and emission reduction issues are receiving increasing attention;As the most common winter heating mode at present,the municipal centralized hydronics in cities and towns consumes huge energy;It is of great significance to reduce heating energy consumption while ensuring user comfort;The study analyzed common household temperature control methods for centralized heating,fully explored the trend of changes in actual temperature and tempera-ture control panel setting temperature errors,improved the grey model prediction of historical error sequences,obtained prediction errors,and used both actual and prediction errors as inputs for fuzzy control.Fuzzy rules were established to enable the fuzzy controller to output adjust-ment parameters,jointly adjust PID control,and reduce errors,Make the original control strategy respond in advance,adjust the system to-wards balance,reduce process energy consumption,and achieve the goal of energy conservation and emission reduction;Through MATLAB simulation experiments,the results show that the method responds in a timely manner,achieves energy-saving under the premise of comfort,and contributes to the achievement of the"dual carbon"goal.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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