基于区域气象站的换热站实时精细控制
摘要：
由于集中供热系统的热负荷受外界温度等因素的影响较大,因而在进行负荷预测时考虑天气因素才能使预测结果更为精准。本文提出了一种根据换热站附近区域实时温度,通过数据挖掘计算该换热站实时热负荷的方法,并探索建立了一套完善的调节评价体系。通过现场传感器的数据采集,系统平台计算得出所需二次网供水温度,经过上位组态软件及时下发控制参数,达到实时控制的目的。该方法经济效益和环境效益显著,且原理简单,在初期调整时效果明显,可在换热站调控中大范围推广。
Abstract：
Since the heating load of central heating systems is significantly influenced by external temperature and other factors, considering weather conditions during load forecasting can lead to more accurate predictions. This paper proposes a method to calculate the real-time heating load of a heat exchange station based on the real-time temperature in the vicinity of the station through data mining, and explores the establishment of a comprehensive adjustment evaluation system. By collecting data from on-site sensors, the system platform calculates the required secondary network supply water temperature and promptly issues control parameters through the upper-level configuration software to achieve real-time control. This method offers significant economic and environmental benefits, has a simple principle, demonstrates obvious effects during initial adjustments, and can be widely promoted in the regulation and control of heat exchange stations.
Keywords:heat exchange station; load forecasting; central heating system; outdoor temperature acquisition; regional real-time temperature; data mining