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

Yihua Cai; Xiaoqin Liu; Lin'ge Li; Ping Fang; Feiyu Shi; Ying Zhang

doi:10.1117/12.2681653

23 May 2023 Design and implementation of groundwater in-situ remediation equipment online monitoring system based on time series database

Yihua Cai, Xiaoqin Liu, Lin'ge Li, Ping Fang, Feiyu Shi, Ying Zhang

Author Affiliations +

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 1264510 (2023) https://doi.org/10.1117/12.2681653
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

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.

Citation Download Citation

Yihua Cai, Xiaoqin Liu, Lin'ge Li, Ping Fang, Feiyu Shi, and Ying Zhang "Design and implementation of groundwater in-situ remediation equipment online monitoring system based on time series database", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 1264510 (23 May 2023); https://doi.org/10.1117/12.2681653

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