Title | Big Data Platform for Intelligence Industrial IoT Sensor Monitoring System Based on Edge Computing and AI |
Publication Type | Conference Paper |
Year of Publication | 2021 |
Authors | Ren, Sothearin, Kim, Jae-Sung, Cho, Wan-Sup, Soeng, Saravit, Kong, Sovanreach, Lee, Kyung-Hee |
Conference Name | 2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) |
Date Published | apr |
Keywords | artificial intelligence, artificial intelligence security, Big Data, composability, Data models, elasticsearch, grafana, Human Behavior, Industrial Internet of Thing, InfluxDB, Metrics, Modbus, Monitoring, pubcrawl, real-time monitoring, resilience, Resiliency, security, Temperature measurement, Temperature sensors |
Abstract | The cutting edge of Industry 4.0 has driven everything to be converted to disruptive innovation and digitalized. This digital revolution is imprinted by modern and advanced technology that takes advantage of Big Data and Artificial Intelligence (AI) to nurture from automatic learning systems, smart city, smart energy, smart factory to the edge computing technology, and so on. To harness an appealing, noteworthy, and leading development in smart manufacturing industry, the modern industrial sciences and technologies such as Big Data, Artificial Intelligence, Internet of things, and Edge Computing have to be integrated cooperatively. Accordingly, a suggestion on the integration is presented in this paper. This proposed paper describes the design and implementation of big data platform for intelligence industrial internet of things sensor monitoring system and conveys a prediction of any upcoming errors beforehand. The architecture design is based on edge computing and artificial intelligence. To extend more precisely, industrial internet of things sensor here is about the condition monitoring sensor data - vibration, temperature, related humidity, and barometric pressure inside facility manufacturing factory. |
DOI | 10.1109/ICAIIC51459.2021.9415189 |
Citation Key | ren_big_2021 |