Design and implementation of groundwater in-situ remediation equipment online monitoring system based on time series database

Abstract

In the scenario of online monitoring of underground water in-situ remediation system, where massive real-time monitoring data is produced in a high frequency, traditional relational database cannot efficiently manage data created by the monitored system. Focusing on such issue, this paper provides a monitoring solution based on time series database. On server side this system applies InfluxDB to accept data from device side. On device side, the system chooses Programmable Logic Controller (PLC) as main controlling unit. We also use Docker during deployment for easier maintaining. Experiments show that the system can manage and store massive real-time surveillance data. This design is of some significance in terms of real-time online monitoring for automatic and IoT systems.