首页|基于人工智能的排水管网截污拍门控制系统研究及应用

基于人工智能的排水管网截污拍门控制系统研究及应用

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针对合流制排水管网截污拍门功能、安装和使用等问题导致的溢流污染,开展截污拍门控制系统研究和应用.设计气动拍门截污控制技术,实现雨天排涝和旱天截污功能;设计低成本一次性电池续航供电技术,实现极限微功耗的一次性电池续航供电,消除拍门安装条件限制;研究双模糊逻辑模型控制技术,精准检测并控制障碍物阻挡拍门关闭导致的缝隙污水泄漏.通过广州市猎德涌现场安装拍门应用测试,结果表明:旱天拍门截污功能控制精度>99%,一次性电池续航供电3.7年以上,拍门缝隙污水泄漏检测与控制综合精度>99%,进一步减少合流制排水管网的溢流污染.
Research and application of artificial intelligence based control system for sewage interception flap doors in drainage networks
In response to the overflow pollution caused by the function,installation,and use of the sewage interception flap door in the combined drainage network,research and application of the sewage interception flap door control system are carried out.Design pneumatic flap door pollution control technology to achieve functions of drainage on rainy days and pollution interception on dry days;Design low-cost disposable battery endurance power supply technology to achieve extreme micro power consumption of disposable battery endurance power supply,eliminating restrictions on the installation conditions of the flap door;Research on dual fuzzy logic model control technology to accurately detect and control gap sewage leakage caused by obstacles blocking the closure of the flap door.Through on-site installation and application testing of the shutter door in Liede Chong,Guangzhou,the results show that the control accuracy of the shutter door's pollution interception function in dry days is>99%,the one-time battery life is more than 3.7 years,and the comprehen-sive accuracy of the shutter door's crevice sewage leakage detection and control is>99%,further reducing the overflow pollution of the combined drainage network.

Drainage networkOverflow pollutionSewage interception flap door,Battery pow-er supplyFuzzy detectionFuzzy control

姜楠、林子茵、毕海涵、封莉

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北京林业大学环境科学与工程学院,北京 100083

华南理工大学电力学院,广州 510641

北京林业大学信息学院,北京 100083

排水管网 溢流污染 截污拍门 电池供电 模糊检测 模糊控制

2024

给水排水
亚太建设科技信息研究院,中国建筑设计研究院,中国土木工程学会

给水排水

CSTPCD北大核心
影响因子:0.8
ISSN:1002-8471
年,卷(期):2024.50(5)