Services utilizing cloud systems to perform condition analysis and predictive detection have been widely used, but constant connection of a monitoring target such as a plant to an external network has security concerns. For this reason, remote monitoring service systems using edge computing to monitor conditions without transmitting data externally have been attracting attention in recent years. However, even when using such edge computing-based state monitoring of a plant, there was the problem of how to efficiently and securely share the current plant state with remote maintenance personnel to determine the cause of a detected abnormality.
Therefore, we have developed a technology that enables a relatively easy and inexpensive secure connection between an edge computing system and an external network only when necessary. This makes it possible to provide a remote monitoring service while maintaining a high level of security.
