In recent years, with the acceleration of digitalization and the spread of IoT, the safety, efficiency, maintenance and product quality of systems are being visualized and analyzed based on data collected from a large number of sensors installed in various locations, such as plant systems, manufacturing lines and factories. However, it is necessary to systemize data collection, storage, monitoring, analysis and other processes in order to utilize sensor data. Moreover, unique know-how, such as knowledge about IoT systems and data analysis, is required to construct such a system, making it difficult for customers to construct by themselves. Especially in the manufacturing industry, work processes are often based on the expertise of each plant or individual. Therefore, the loss of know-how due to the retirement of skilled personnel and lack of staff poses a serious challenge.

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