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.
Design of Intelligent Monitoring System for Fish Culture in Filtered Water of Sponge City Based on Narrow-band Internet of Things (NB-IoT)
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第36卷
Number:
14
Page:
61-65
Column:
Date of publication:
2020-07-17
- 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.
Last Update:
2020-07-17