Sentrisense
At Sentrisense we are digitizing the most geographically distributed human infrastructure on earth, the power lines. Our solutions focus on three key areas: Early fault detection, Quick incident detection, and Dynamic line rating. Our Quick incident detection solution enables rapid and accurate identification of failures in the grid, allowing maintenance teams to respond faster, minimizing the damage. Our Early fault detection solution leverages data gathered directly from the infrastructure to inform the replacement of damaged power lines, enhancing predictive maintenance and better planning of power line maintenance teams. Our Dynamic line rating technology improves the grid's capacity, allowing for increased energy transmission with the same infrastructure moving towards a power grid efficiency optimization. Sentrisense is an Industry 4.0 solution based on IoT devices called SENTRI, providing users with comprehensive real-time information and long-term analysis of their assets to inform better infrastructure, maintenance, and competitiveness decisions.
Sentrisense
At Sentrisense we are digitizing the most geographically distributed human infrastructure on earth, the power lines. Our solutions focus on three key areas: Early fault detection, Quick incident detection, and Dynamic line rating. Our Quick incident detection solution enables rapid and accurate identification of failures in the grid, allowing maintenance teams to respond faster, minimizing the damage. Our Early fault detection solution leverages data gathered directly from the infrastructure to inform the replacement of damaged power lines, enhancing predictive maintenance and better planning of power line maintenance teams. Our Dynamic line rating technology improves the grid's capacity, allowing for increased energy transmission with the same infrastructure moving towards a power grid efficiency optimization. Sentrisense is an Industry 4.0 solution based on IoT devices called SENTRI, providing users with comprehensive real-time information and long-term analysis of their assets to inform better infrastructure, maintenance, and competitiveness decisions.
