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.
基于窄帶物聯網的海綿城市濾水養魚智能監控系統設計
中國給水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第36卷 期數: 2020年第14期 頁碼: 61-65 欄目: 出版日期: 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)
摘要:- 基于窄帶物聯網（NB-IoT）技術設計了海綿城市濾水養魚智能監控系統，可實時監測和動態預測預警濾水養魚水環境參數并自動調節水質，同時可根據動態預測預警信息提前調節水質。針對支持向量回歸機（SVR）在對濾水養魚水環境參數預測中存在精度低的問題，提出并采用了集合經驗模態分解法(EEMD)、灰狼優化算法(GWO)和SVR組合的水質預測模型。結果表明，該模型具有較好的預測能力，能夠滿足海綿過濾水質在線預測的實際需求，為水質預警控制提供數據支持，在此基礎上建立了水質預警模型。該系統取得了較好效果，可以滿足海綿城市濾水養魚的水質監控和預測預警的需求，為海綿城市的自動化、智能化建設提供技術參考。
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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