基于物联网的电镀铬镍混合废水浓度监控系统

Concentration monitoring system for electroplating chromium and nickel mixed wastewater based on internet of things

监测废水中的铬和镍浓度有助于早期发现和处理潜在的问题,减少对自然环境和水资源的污染风险。为此,设计了基于物联网架构的电镀铬镍混合废水浓度监控系统。在指挥层中使用LoRaWAN通信方式连接电化学传感器和监控系统,监控系统可以实时采集废水中的铬和镍浓度数据。在网络层中使用箱线图对指挥层中采集的数据进行异常值识别,并去除这些异常值。为保证数据的安全性和稳定性,通过物联网技术中的监控系统软件协议代码将数据传输至云平台。在云平台中利用孤独森林算法对传输到云平台的数据进行模式识别和监测,通过感知层将废水浓度数据以可视化的形式展示出来,使用户能够直观地了解混合废水的浓度情况。实验结果表明,本文系统的监测准确度保持在95%以上,且数据传输效率保持在96%以上,具有较高监测准确度的同时具有良好的运行性能。

Monitoring the concentration of chromium and nickel in wastewater can help identify and treat potential problems in the early stages,reducing the risk of pollution to the natural environment and water resources.Therefore,a concentration monitoring system for electroplating chromium nickel mixed wastewater based on the Internet of Things architecture is designed.In the command layer,LoRaWAN communication is used to connect electrochemical sensors and monitoring systems.The monitoring system can collect real-time data on the concentration of chromium and nickel in wastewater;In the network layer,boxplot is used to identify outliers in the data collected in the command layer and remove these outliers.To ensure the security and stability of data,data is transmitted to the cloud platform through the monitoring system software protocol code in IoT technology.Utilizing the Lonely Forest algorithm in the cloud platform for pattern recognition and monitoring of data transmitted to the cloud platform,the wastewater concentration data is visualized through the perception layer,allowing users to intuitively understand the concentration of mixed wastewater.The experimental results show that the monitoring accuracy of the system in this paper remains above 95%,and the data transmission efficiency remains above 96%.It has high monitoring accuracy and good operational performance.