With the acceleration of urbanization and the rapid development of modern agriculture, the quality of urban groundwater in China has deteriorated significantly, affecting regional economic and social development. Due to the concealed and harmful nature of groundwater pollution, remediation efforts are urgently needed. Despite some existing research in China, technical application experience is limited. This study aims to develop an intelligent control system for in-situ groundwater remediation technology. The research includes the development of proprietary dynamic visualization systems, remote control systems, decision support systems, and safety risk warning systems, as well as constructing an intelligent management control software platform for in-situ groundwater remediation equipment. The system is based on Modbus and Websocket protocols, establishing a real-time MySQL database for automatic data collection and storage. A web application is developed and deployed to the cloud platform, allowing visual remote inspection and management control through smart terminals. Experimental results show that the control system meets the requirements of groundwater remediation equipment, offering enhanced convenience compared to traditional industrial control systems. Cloud storage not only improves data security but also lays the foundation for future big data analysis and improved pollution control outcomes.
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