摘要
供热是北方城市居民冬季生活中不可或缺的一部分,但随着社会经济的发展和城市的扩张,城市人口不断增加,目前的供热服务水平已经不能满足北方地区城市化进程中对供热的需求量,且面临着供热管控不足、安全把控不力和技术水平有待提高等问题。通过利用BP神经网络技术建立供热负荷预测模型,依托实际工程项目,结合大数据分析技术来预测区域供热负荷,同时利用3D+GIS技术,构建了一种基于神经网络技术来构建区域的智慧供热管控系统,对区域供热分布进行可视化应用分析。结果表明:该智慧供热管控系统可为供热行业信息化发展提供新思路和新方法。
Heating is an indispensable part of life for urban residents in northern China in winter.However,with the development of social economy and expansion of cities,the urban population continues to increase,and the current heating service can no longer meet the demand for heat supply in the process of urbanization in northern China,and faces problems such as insufficient heat supply control,poor safety control and weak technical level.By using BP neural network technology to establish a heating load prediction model,relying on actual engineering projects,combined with big data analysis technology to predict region heating load,and using 3D+GIS technology,a regional intelligent heat supply management and control system based on neural network technology is constructed through which the regional heat supply distribution is visualized and analyzed.The results show that the intelligent heat supply control system can provide new ideas and methods for the informatization development of the heating industry.
作者
王洁瑜
魏鹏刚
杨文栋
WANG Jieyu;WEI Penggang;YANG Wendong(PowerChina Northwest Engineering Corporation Limited,Xi'an 710065,China)
出处
《西北水电》
2023年第3期42-50,共9页
Northwest Hydropower
关键词
BP神经网络
智慧供热
智慧管控系统
BP neural network
heating
intelligent management and control system
