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​爱游戏,基于窄带物联网的海绵城市滤水养鱼智能监控系统设计 张净1,崔建军1,蒋礼兵2,左庆源2(1.江苏大学电气信息工程学院,江苏镇江212013;2.镇江市给排水管理处,江苏镇江212001)

发布时间:2023-12-09

焦点提醒:基在窄带物联网的海绵城市滤水养鱼智能监控系统设想 张净1,崔建军1,蒋礼兵2,左庆源2(1.江苏年夜学电气消息项目学院,江苏镇江212013;2.镇江市给排水治理处,江苏镇江212001)中国给水排水2023年中国污水处理厂提标改造(污水处理提质增效)高级研讨会(第七届)邀请函暨征稿启事中国给水排水2023年中国污水处理厂提标改造(污水处理提质增效)高级研讨会(第七届)邀请函暨征稿启事

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  • English上一篇下一篇PDF下载[1]张净,崔建军,蒋礼兵,等.基在窄带物联网的海绵城市滤水养鱼智能监控系统设想[J].中国给水排水,2020,36(14):61-65. ZHANG Jing,CUI Jian-jun,JIANG Li-bing,et al.Design of Intelligent Monitoring System for Fish Culture in Filtered Water of Sponge City Based on Narrow-band Internet of Things (NB-IoT)[J].China Water & Wastewater,2020,36(14):61-65.点击复制

    基在窄带物联网的海绵城市滤水养鱼智能监控系统设想中国给水排水[ISSN:1000-4062/CN:12-1073/TU]卷:第36卷期数:2020年第14期页码:61-65栏目:出书日期:2020-07-17
    Title:
    Design of Intelligent Monitoring System for Fish Culture in Filtered Water of Sponge City Based on Narrow-band Internet of Things (NB-IoT)
    作者:
    张净1,崔建军1,蒋礼兵2,左庆源2
    (1.江苏年夜学电气消息项目学院,江苏镇江212013;2.镇江市给排水治理处,江苏镇江212001)Author(s):
    ZHANG Jing1,CUI Jian-jun1,JIANG Li-bing2,ZUO Qing-yuan2
    (1. School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China; 2. Zhenjiang Water Supply and Drainage Development, Zhenjiang 212001, China)
    要害词:
    窄带物联网;海绵城市;滤水养鱼;动态猜测预警;撑持向量回归机
    Keywords:
    NB-IoT;sponge city;fish culture in filtered water;dynamically prediction and warn;SVR
    摘要:
    基在窄带物联网(NB-IoT)手艺设想了海绵城市滤水养鱼智能监控系统,可及时监测和动态猜测预警滤水养鱼水情况参数并主动调理水质,同时可按照动态猜测预警消息提早调理水质。针对撑持向量回归机(SVR)在对滤水养鱼水情况参数猜测中具有精度低的问题,提出并采取了调集经验模态分化法(EEMD)、灰狼优化算法(GWO)和SVR组合的水质猜测模子。成果注解,该模子具有较好的猜测能力,可以或许知足海绵过滤水质在线猜测的现实需求,为水质预警节制供给数据撑持,在此根本上成立了水质预警模子。该系统获得了较好结果,能够知足海绵城市滤水养鱼的水质监控和猜测预警的需求,为海绵城市的主动化、智能化扶植供给手艺参考。
    Abstract:
    Based on the narrow-band Internet of Things (NB-IoT) technology, the intelligent monitoring system for fish culture in filtered water of sponge city was designed, which could monitor, dynamically predict the environmental parameters of the filtered water and adjust the water quality automatically. At the same time, water quality could be adjusted in advance according to the dynamic prediction and early warning information. Aiming at the low precision of support vector regression (SVR) in predicting the environmental parameters of fish culturein filtered water, the prediction model of EEMD-GWO-SVR was presented and adopted in this paper. The results showed that the model had better predictive ability, could meet the actual demand of online prediction of sponge filtration water quality, and provided data support for water quality early warning control. Based on this, a water quality early warning model was established. The system had achieved good results and coud meet the needs of water quality monitoring, forecasting and warning for fish culture in filtered water of sponge city, and could provide technical reference for the automation and intelligent construction of sponge city.

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