Implementation of an IoT Cloud-based Elderly Care Health Monitoring Dashboard

Azizan, Azızul; Din, Norashidah Md; Dzaki, Dzahir Rashidi Mohd; Kadir, Ahmad Dziaul Islam Abdul; Shafie, Noraimi

doi:10.1109/icssa54161.2022.9870939

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…Therefore, Docker can run multiple applications with complex dependencies independent from each other without over-consuming system resources. These configured containers are also known as images [7].…”

Section: Container Environment Constructionmentioning

confidence: 99%

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

Cai¹,

Xiao-qin²,

Li³

et al. 2023

International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023)

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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.

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Section: Container Environment Constructionmentioning

confidence: 99%