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http://dx.doi.org/10.23087/jkicsp.2022.23.4.005

Development of Cloud based Data Collection and Analysis for Manufacturing  

Young-Dong Lee (Division of Smart Convergence Engineering, Changshin University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.23, no.4, 2022 , pp. 216-221 More about this Journal
Abstract
The 4th industrial revolution is accelerating the transition to digital innovation in various aspects of our daily lives, and efforts for manufacturing innovation are continuing in the manufacturing industry, such as smart factories. The 4th industrial revolution technology in manufacturing can be used based on AI, big data, IoT, cloud, and robots. Through this, it is required to develop a technology to establish a production facility data collection and analysis system that has evolved from the existing automation and to find the cause of defects and minimize the defect rate. In this paper, we implemented a system that collects power, environment, and status data from production facility sites through IoT devices, quantifies them in real-time in a cloud computing environment, and displays them in the form of MQTT-based real-time infographics using widgets. The real-time sensor data transmitted from the IoT device is stored to the cloud server through a Rest API method. In addition, the administrator could remotely monitor the data on the dashboard and analyze it hourly and daily.
Keywords
Smart Manufacturing; Internet of Things; cloud; Data collection and analysis; Remote monitoring;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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