摘要
为实现供热系统的节能减排,供热系统二级网经常采用质调节,而质调节的关键是根据室外温度等主要参数预测二次网供水温度。为了得到准确有效的预测结果,分析二次网供水温度预测原理和非正常数据及离线数据的处理方法并建立了ELM极限学习机的二次网供水温度预测模型。通过工程的实际数据对预测方法进行验证,ELM极限学习机的预测与实际值偏差较小,满足实际工程的应用要求,模型准确性较高。
In order to realize the energy saving and emission reduction of heating system,the secondary network of heat⁃ing system is often adjusted by mass regulation,and the key problem of mass regulation is to predict the water supply temperature of secondary network according to the main parameters such as outdoor temperature.In or⁃der to obtain accurate and effective prediction results,this paper analyzes the prediction principle of second⁃ary network water supply temperature and the processing method of abnormal data and off-line data,and es⁃tablishes the prediction model of secondary network water supply temperature of ELM extreme learning ma⁃chine.The prediction method is verified by the actual data of a practical project.Through the verification re⁃sults,it is found that the deviation between the prediction and the actual value of ELM extreme learning ma⁃chine is small,which meets the application requirements of practical projects and the model has high accura⁃cy.
作者
段之真
DUAN Zhizhen(Tianjin Branch,China Railway Shanghai Design Institute Group Co.LTD.,Tianjin 300400,China)
出处
《天津建设科技》
2023年第3期50-52,共3页
Tianjin Construction Science and Technology
关键词
ELM极限学习机
二次网
供水温度
供热系统
ELM extreme learning machine
the secondary network
water supply temperature
heating system
