UPTIME Predictive Maintenance Platform was developed with a central aim to enable manufacturing companies to manage all their assets with full insight by fully exploiting real-time and historical data. It takes assisted decision-making to the next level by presenting maintenance scenarios with the optimal maintenance actions to implement at the optimal time. It helps manufacturing companies to mitigate risks, minimize maintenance costs and improve their Overall Equipment Effectiveness (OEE).
The UPTIME Platform offers manufacturing companies a competitive advantage by empowering everyone involved in the maintenance activities. UPTIME targets shop floor operators with real-time asset alerts and notifications as well as maintenance managers with real-time visualization of asset conditions, correlation analyses and actionable plans based on trusted data analyses and accurate predictions. The UPTIME Platform offers a unified interface to a unique combination of state-of-the-art and reliable predictive maintenance components, which are developed exploiting research advances in IoT, Machine Learning and AI. Real-time sensors, business analytics, detection and prediction, decision-making and FMECA risk analysis can all be tailored to the company’s individual needs. UPTIME’s algorithms are configured according to the company’s processes, inputs from their experts, and their available data. UPTIME can transform the operational data into knowledge which helps manufacturing companies to improve their maintenance performance
From the technical point of view, the UPTIME Platform aims to meet a specific set of functionalities, to allow interactions of its components, to demonstrate end to end integration and communication among the functional parts of the system, in order to provide a unified predictive maintenance solution.The platform architecture accommodates different specific needs as demonstrated by its six main modules.
Most of the main modules of the UPTIME Platform already achieved a TRL5 at the beginning of the project and will reach a TRL7 by the end, including the FMECA module (starting at TRL4) and the ANALYZE module (new development). Only the VISUALIZE module will reach a TRL8. Since the proper level of maturity before launching a product on the market is TRL8, a roadmap has been established to evaluate the time and effort required to reach it. In the end, the entire UPTIME platform should reach TRL8 within a year, which means that general commercialization could be envisaged from the end of 2021 or early 2022. Of course, this timing should be adapter to the pandemic situation and the associated economic impact which would affect the business opportunities and the possibilities to implement UPTIME properly. Subsequent evolutions of the solution will be conditioned by the arrival of the first customers. The latter will provide both a new use case with its own specificities and challenges to strengthen the solution, as well as the funding required for these developments until TRL8 is reached.
UPTIME differentiates from its competitors with higher-level intelligence functions which requires high vertical customization and a more complete integration with legacy systems than most competitors. Furthermore, as the competition landscape is very dense, UPTIME will have to approach the market segments differently, with an adapted strategy. In order to be more impactful with potential customers, UPTIME's value proposition has been reviewed in and highlighted on the UPTIME new marketing website,
https://www.uptime-predictive-maintenance.com/(opens in new window)
