基于GUI界面的供热负荷预测分析

Prediction and Analysis of Heating Load Based on GUI

由于集中供热系统调节的滞后性,使供热量不能及时地跟随用户端需求量调整,造成能源浪费。预测集中供热系统未来一段时间内的供热参数对热网的经济运行和调节起着重要作用,本文通过对热网历史数据的分析,采用神经网络预测的方法,以新疆华源热力公司某供热站的供热网参数为研究对象进行分析和预测,并结合MATLAB的GUI设计方法,设计出了人机交互友好、使用方便的界面,结果表明该算法具有较好的预测精度,对供热系统有着较好的指导作用,具有一定的应用价值。

The Central Heating System has hysteretic nature so that it can not adjust the heat to meet the users＇ demand, which results in waste of energy. Forecasting the parameters in the coming period has the important effect on saving operation and regulation of the heating network. In this paper, by analyzing historical data of the heating network and using the forecasting method of neural network, we analyze and forecast the heating network parameters related to the Hua yuan company in Xin jiang. Furthermore, by using the MATLAB GUI design, we design a friendly human-computer interaction and, easy-to-use interface. The result indicats that this algorithm has good prediction accuracy and good instruction function to the heating system, which has a promising future in practical application.