Equipment maintenance is a crucial factor in determining efficiency of industrial plants. Equipment breakage or improper functioning not only impact on product quality and production capability, but also determine huge expenses. Maintenance of industrial plant equipment accounts up to 70% of total production costs, and about 30% of maintenance costs are related to clearly controllable factors, such as improper execution or bad planning of maintenance. In fact, current solutions for industrial equipment monitoring cannot directly measure the status of the single components in the industrial plants (e.g., valves, pipes, pumps, fittings, etc.) and rely on a reactive maintenance approach for fixing or replacing parts after breaking.
FeelIT provides RetroFeel, a next-generation platform for analysis, monitoring and predictive maintenance of industrial equipment. RetroFeel is based on nano-sensors that measure the structural integrity of all the single components within the industrial plant in real time, enabling the simultaneous measurement of multiple parameters (e.g. pressure, temperature, humidity, open-close cycles, micro-cracks, leakages, etc) with high accuracy and sensitivity. Data are processed by a proprietary smart analytical software and displayed via a simple user interface to the technician, providing information in real time on the health status and risk of malfunction of all the equipment within the whole industrial line.
RetroFeel offers a unique predictive maintenance platform to optimize the maintenance strategies and overall performance by providing the most accurate real-time monitoring of the whole industrial equipment.
During the phase 1 feasibility study, FeelIT will establish a sound go-to-market strategy and supply chain, and will outline further development plans. During the innovation project, the Company will optimize the software analytics and sensing system, prepare an in-field test, and obtain certification to commercialize the product.
Field of science
- /social sciences/political science/political transitions/revolutions
- /natural sciences/computer and information sciences/software
- /natural sciences/computer and information sciences/internet/internet of things
Call for proposal
See other projects for this call