基于窄带物联网的海绵城市滤水养鱼智能监控系统设计

基于窄带物联网(NB-IoT)技术设计了海绵城市滤水养鱼智能监控系统,可实时监测和动态预测预警滤水养鱼水环境参数并自动调节水质,同时可根据动态预测预警信息提前调节水质。针对支持向量回归机(SVR)在对滤水养鱼水环境参数预测中存在精度低的问题,提出并采用了集合经验模态分解法(EEMD)、灰狼优化算法(GWO)和SVR组合的水质预测模型。结果表明,该模型具有较好的预测能力,能够满足海绵过滤水质在线预测的实际需求,为水质预警控制提供数据支持,在此基础上建立了水质预警模型。该系统取得了较好效果,可以满足海绵城市滤水养鱼的水质监控和预测预警的需求,为海绵城市的自动化、智能化建设提供技术参考。

Design of Intelligent Monitoring System for Fish Culture in Filtered Water of Sponge City Based on Narrow-band Internet of Things(NB-IoT)

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.