基于物联网与深度学习的污水处理智能监控系统设计

Design of Intelligent Monitoring System for Wastewater Treatment Based on Internet of Things and Deep Learning

污水处理对提高水资源利用率、保护环境具有重要意义。污水处理过程中,污水水质变化剧烈、污水处理过程与工艺复杂,保持污水处理的精准性、稳定性显得极为重要。因此,提出基于物联网与深度学习的污水处理智能监控系统。该系统利用物联网技术,精准感知与监测污水处理设备及污水水质的实时数据;利用云计算技术,存储与处理采集得到的污水处理数据;利用深度学习,构建具有多层非线性映射的深度学习结构。结果表明,对采集到的数据进行深度学习,分析污水处理规律并进行预测与控制,能提高污水处理稳定性、精确性与效率,为污水治理与控制提供智慧支撑。

Wastewater treatment is of great significance to improve the utilization of water resources and protect the environment. In the process of wastewater treatment, it is critical to maintain the accuracy and stability o~ the wastewater treatment, because of the drastic change of the wastewater quality, the complexity of the process. In this paper, an intelligent monitoring system for wastewater treatment based on Internet of Things and deep learning is proposed. This system exploits Internet of Things technology to accurately sense and monitor wastewater treatment facilities and sewage water quality; explores cloud computing technology to store and process the collected wastewater data. Besides, this system uses deep learning technology to build a multilayer nonlinear mapping of deep learning structure, analyze the collected data of wastewater treatment process, and improve the stability, accuracy and efficiency of the wastewater treatment process.