James Fisher Mimic (JFM) has launched an upgrade to its condition monitoring technology to improve vessel reliability, increase uptime, enhance safety, and save maintenance costs.
Mimic 5 is a cloud-based software solution, designed to accommodate big data. It captures, connects and combines any vessel data and provides actionable insights into machinery health and performance on any fleet, anywhere in the world and at any time. The latest version features new capabilities such as automated, online and wireless data collection from vibration sensors, process sensors and vessel control systems.
Mimic 5 enables condition and performance monitoring of machinery, vessels and fleets. The technology analyses vibration data, fluid quality, performance and efficiency to inform a data driven proactive maintenance strategy. Driven by client feedback, Mimic 5 is fully fleet enabled meaning clients and navies with fleets around the world can compare vessel data within one central platform – improving reliability and increasing uptime.
Aligning with emerging technologies and techniques within the maritime and military sectors, Mimic 5 is capable of viewing big data in a cross-platform, browser-based application with an improved high-performance data visualisation interface. Fully compatible with cloud-based environments, Mimic 5 is paving the way for a holistic maintenance approach, reducing maintenance, increasing efficiency and saving money.
“Mimic 5 has been several years in the planning and has been created following close and extensive engagement with our customers to ensure Mimic 5 provides significant benefit and even more compelling value, helping vessel owners and operators on their digitalisation journey from a maintenance perspective,” said Paul Mount, general manager at JFM.
“The technology has been designed and developed in-house by our own software development team, allowing us to ensure we deliver yet another reliable and robust software, and one which can accommodate big data, is cloud-based and is compatible with a wide range of data collection possibilities making it really this and next generation ready.”