基于DQN的二次供水系统运行优化研究  

OPERATION OPTIMIZATION OF SECONDARY WATER SUPPLY SYSTEM BASED ON DQN

作　　者：耿为民 颜军 谢善斌 万鸣 Geng Weimin;Yan Jun;Xie Shanbin;Wan Ming(Municipal and Ecological Engineering School,Shanghai Urban Construction Vocational College,Shanghai 200438,China;Shandong Water Land Co.,Ltd.,Zaozhuang 277101,Shandong,China;Shanghai Kaiquan Pump(Group)Co.,Ltd.,Shanghai 201805,China;Morimatsu Investment Company Limited,Shanghai 201323,China)

机构地区：[1]上海城建职业学院市政与生态工程学院,上海200438 [2]山东沃特兰德环境科技有限公司,山东枣庄277101 [3]上海凯泉泵业(集团)有限公司,上海201805 [4]森松(中国)投资有限公司,上海201323

出　　处：《计算机应用与软件》2024年第10期393-397,共5页Computer Applications and Software

基　　金：上海市住房和城乡建设管理委员会科研项目(沪建科2021002056)。

摘　　要：二次供水系统是饮用水到达用户的最后关键环节,针对二次供水运行中水龄较长影响水质的问题,提出一种基于深度学习Q学习算法(Deep Q-Learning Network,DQN)的运行优化模型。该模型将水压、水龄、能耗优化目标综合计算成对应的奖励,基于水力模拟的运行工况为输入,进水池、水泵的运行指令为输出。以某二次供水系统为例,利用EPANET软件构建水力模型,基于DQN分别对组件运行进行优化。结果显示,优化后均在保证供水压力的前提下达到降低水龄的目标。Secondary water supply system(SWSS)is the key process for water supply to reach the users tap water.Aimed at the problem that water age in SWSS affects water quality,the optimized operation model based on deep Q-learning network(DQN)is proposed.The optimization objectives of water pressure,water age and energy consumption were calculated to the corresponding rewards.In the model,the inputs were the hydraulic state of SWSS,and the outputs were the operation instructions of the pool inlet and the pumps.Taking a SWSS in the residential community as an example,the hydraulic model was established by using the software EPANET.Based on DQN,the operation instructions of the pool and the pumps were optimized.The results show that on the premise of ensuring water pressure,the water age is reduced.

关 键 词：二次供水系统 DQN算法 运行优化 水龄 

分 类 号：TU991[建筑科学—市政工程] TP3[自动化与计算机技术—计算机科学与技术]