By performing analytics on the edge, Samotics’ SAM4 Health solution benefits from reduced bandwidth requirements to process and transfer data, which makes it easily accessible in remote and offshore locations.
Edge analytics functionality provides insight into equipment health with greater speed and accuracy, without network restrictions. It also allows greater control over data movement and storage by creating, hosting, and processing data in one place, supporting organizations to meet stringent data privacy and data sovereignty requirements.
SAM4 Health supports global industries to monitor the performance and efficiency of critical assets. Underpinned by a technique called electrical signature analysis (ESA), it analyzes the current and voltage signals of electric-driven equipment such as motors, pumps and conveyors. The system’s sensors install in the motor control cabinet, rather than on the machine being monitored, enabling reliable, remote capture of asset health data.
“We’re always looking to improve and enhance our services and we’ve seen the potential of edge analytics to help our customers unlock the power of their data,” said Thijs Bootsma, head of asset health at Samotics. “Therefore, we’ve invested in enhancing our data processing capabilities on the edge to reduce our data communication while being able to generate failure indicators near real-time. This allows us to offer a complete solution to customers in remote, low-bandwidth locations. We look forward to selectively rolling out this feature in the coming months to our customers, who experience network restrictions.”
