土壤污染具有累积性、隐蔽性、潜在性和不可逆性,对城市土壤污染进行预防和科学系统的监测至关重要。传统监测方法存在时效性差、数据处理能力有限等问题,无法满足城市土壤污染预防和科学系统监测的需求。本研究旨在开发一套能够实时在线监测、处理和分析城市土壤污染数据的系统,以提高预测和预警的时效性。基于微服务框架Spring Cloud Alibaba,整合开发基于EMQX平台的订阅端,实现土壤数据的采集和入库。同时,开发与Geoserver服务器对接的WebGIS功能模块,利用OpenLayers渲染地图和土壤元素浓度图,实现对土壤状态的监控和可视化分析,进而实现对土壤污染的预测和预警。突破相关监测元素的传感器技术,可以实现城市土壤污染的物联网实时在线监测,处理和分析土壤污染数据,显著提高土壤污染预测和预警的时效性。

The nature of soil pollution—cumulative, hidden, latent, irreversible—makes it essential that urban soil pollution should be closely monitored and prevented. However, traditional monitoring methods cannot perform real-time pollution monitoring and have limited data processing capabilities. To address this issue, we aim to develop a pollution prediction and early warning system capable of real-time online monitoring, processing, and analyzing urban soil pollution data. In this paper we report the development of a monitoring and data visualization system based on microservice framework Spring Cloud Alibaba, whereby integrating the EMQX platform soil data are successfully collected and stored. Additionally, we develop a WebGIS module that interfaces with Geoserver—this module utilizes OpenLayers to render maps and soil element concentration charts, enabling the monitoring and visual analysis of soil conditions. We believe with breakthroughs in sensor technologies relating to chemical monitoring, real-time online monitoring, processing, and analysis of soil pollution data through Internet of Things (IoT) can be achieved. The IoT monitoring and visualization system has been tested and its effectiveness in identifying pollution changes, predicting trends, and devising effective prevention and control measures are demonstrated. Most importantly, practical applications confirm the system's notable advantages in enhancing the timeliness of soil pollution prediction and early warning.