Rugged Monitoring’s RM EYE transforms traditional time-based maintenance into a proactive approach, equipping businesses with real-time insights into the health of their electrical assets. By detecting potential issues early on it helps create a dependable and efficient predictive maintenance system.
Refined O&M processes
RM EYE utilizes advanced metrics such as Health Index, Risk Index, and Criticality Index to identify and classify faults within a fleet. It also evaluates asset aging and estimates the remaining useful life, optimizing maintenance and operational efficiency.
Empowering Asset Experts
RM EYE utilizes AL-ML algorithms without user intervention to interpret real-time data and monitor assets’ continuous behavior and health. Thus collaborating with the maintenance teams and directing their attention and expertise where needed.
Tailored Dashboards for Superior Oversight
RM EYE’s customizable dashboards give users unparalleled visibility with real-time, role-specific insights, empowering engineers and maintenance teams to identify anomalies, assess risk levels, and prioritize actions with customizable alarms and alerts.
Boost Your Gains
RM EYE is instrumental in the digital transformation of electrical assets by strongly emphasizing technological research, domain expertise, and an innovation approach, enabling customers with reliable and scalable solutions that contribute to the sustainability of condition monitoring.
Seamless Integration
RM EYE seamlessly integrates with any system, communicating with industry-standard protocols like MODBUS, DNP3, IEC61850, etc., allowing superfast data acquisition from any IED or software and data distribution to multiple IEDs and systems.
Data Security
RM EYE complies with industry regulations by implementing robust security measures, such as role-based access controls that uphold operational integrity but also safeguard data privacy, reducing the risk of financial losses and limiting legal liabilities.
Supports on Prem & Cloud
RM EYE streamlines condition monitoring with remote and cloud-based technologies, reducing infrastructure and data management costs and supporting the effortless scalability of integrating additional assets and migration of historical data to the cloud.
