Periodic Reporting for period 2 - UPTIME (UNIFIED PREDICTIVE MAINTENANCE SYSTEM)
Reporting period: 2019-03-01 to 2021-02-28
UPTIME aims to design a unified predictive maintenance framework and an associated unified information system in order to enable the predictive maintenance strategy implementation in manufacturing industries. UPTIME strives to give impact on the European manufacturing industry, foremost in the sectors represented by the use cases. UPTIME will contribute to reducing failure rates, downtime due to repair, unplanned plant/production system outages and extending component lifetime. By investigating and demonstrating the applicability of the UPTIME predictive maintenance system in the three use cases from different manufacturing sectors, UPTIME will contribute to a more widespread adoption of predictive maintenance and demonstrate more accurate, secure and trustworthy techniques at component, machine and system level.
The UPTIME predictive maintenance system extends and unifies the new digital, e-maintenance services and tools and incorporates information from heterogeneous data sources, e.g. sensors, to more accurately estimate the process performances.
Main objectives of UPTIME:
• UPTIME will reframe predictive maintenance strategy, extend and unify the new research-based digital, e-maintenance services and tools and provide incorporate data information.
• UPTIME will deploy the unified extended digital e-maintenance services in different representative manufacturing environments and evaluate the predictive maintenance framework.
• UPTIME will exploit the project’s results in order to generate business flows and to maximize the impact on the industry through creation and management of manufacturing communities.
The UPTIME predictive maintenance system extends and unifies the new digital, e-maintenance services and tools and incorporates information from heterogeneous data sources, e.g. sensors, to more accurately estimate the process performances.
Main objectives of UPTIME:
• UPTIME will reframe predictive maintenance strategy, extend and unify the new research-based digital, e-maintenance services and tools and provide incorporate data information.
• UPTIME will deploy the unified extended digital e-maintenance services in different representative manufacturing environments and evaluate the predictive maintenance framework.
• UPTIME will exploit the project’s results in order to generate business flows and to maximize the impact on the industry through creation and management of manufacturing communities.
By the end of the project, UPTIME has fulfilled its set objectives. UPTIME achievements comprise business, technical and scientific aspects.
The key achievements are presented below:
• Methodology: UPTIME adopts a generic and unified approach, which provides synergistic effect from its interconnected modules, which is applicable to different use case scenarios.
• Platform and Architecture: Continuous integration principles were implemented by adopting an agile methodology during the development phase.
• Modules: The modular UPTIME Platform provides a set of functionalities to the user, in which you can build your own use case depending on your needs. The platform architecture accommodates different specific needs as demonstrated by its six main modules.
• Use cases: UPTIME solutions is successfully validated in three use cases from different sectors, namely white goods industry, steel industry and production system.
• Exploitation: A concrete go-to-market strategy and UPTIME value proposition have been defined in order to optimize the impact of the platform on the market and maximize the chances of success. Feedbacks from external and internal industry collected within the community management activities have provided valuable inputs to UPTIME Product Roadmap as well as business and exploitation model.
• Standardisation: It aims at increasing UPTIME impact and accelerating its deployment. UPTIME has actively participated and contributed in the different international standardisation activities, especially jointly with the ForeSee Cluster. UPTIME Standards Radar Chart was developed allowing such digital ecosystem to share a dynamic view of the standardization policy.
• Dissemination: UPTIME has actively participated in and organised different scientific and industrial related events to promote UPTIME and create awareness of UPTIME results for future adoption of potential new customers. Adoption method for UPTIME deployment has been also created according to the successful deployment in the three business cases. Dissemination and communication materials were set up and created as means to support promotion of UPTIME.
The key achievements are presented below:
• Methodology: UPTIME adopts a generic and unified approach, which provides synergistic effect from its interconnected modules, which is applicable to different use case scenarios.
• Platform and Architecture: Continuous integration principles were implemented by adopting an agile methodology during the development phase.
• Modules: The modular UPTIME Platform provides a set of functionalities to the user, in which you can build your own use case depending on your needs. The platform architecture accommodates different specific needs as demonstrated by its six main modules.
• Use cases: UPTIME solutions is successfully validated in three use cases from different sectors, namely white goods industry, steel industry and production system.
• Exploitation: A concrete go-to-market strategy and UPTIME value proposition have been defined in order to optimize the impact of the platform on the market and maximize the chances of success. Feedbacks from external and internal industry collected within the community management activities have provided valuable inputs to UPTIME Product Roadmap as well as business and exploitation model.
• Standardisation: It aims at increasing UPTIME impact and accelerating its deployment. UPTIME has actively participated and contributed in the different international standardisation activities, especially jointly with the ForeSee Cluster. UPTIME Standards Radar Chart was developed allowing such digital ecosystem to share a dynamic view of the standardization policy.
• Dissemination: UPTIME has actively participated in and organised different scientific and industrial related events to promote UPTIME and create awareness of UPTIME results for future adoption of potential new customers. Adoption method for UPTIME deployment has been also created according to the successful deployment in the three business cases. Dissemination and communication materials were set up and created as means to support promotion of UPTIME.
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/
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/