A4BLUE | Adaptive Automation in Assembly For BLUE collar workers satisfaction in Evolvable context
01-10-2016
-30-09-2019
01-10-2016
-30-09-2019
01-10-2016
-31-03-2020
Data communication between components is essential for the project. End users create data on their shop floor with embedded sensors on the machines, new integrated sensors developed for the project. All these data is propagated in the system with data communication protocols, such as HTTP and AMQP, creating a data stream process in the system. Interoperability between the data communication protocolos and brockers is crucial for a successful result of the data communication of the system. Various data sources work together and use different communication protocols. As a result, all these components and protocols should seamlessly work and their interoperability is what helps them. A message brocker was developed for the project, based on AMQP for data communication. In the initial phases of the project, there were also RESTful APIs that helped in the initial development of the components.
01-09-2017
-28-02-2021
One of the main functionalities of UPTIME Platform is the batch data analytics implemented by UPTIME_ANALYZE component to analyse maintenance-related data from legacy and operational data and UPTIME_FMECA component that provides estimation of possible failure modes. The interoperability interfaces with UPTIME End-Users' (e.g. Whirlpool) legacy systems are defined, specified and developed according to latest practices and standards for APIs.
01-10-2017
-31-03-2021
PROGRAMS project aims at integrating its platform with a number of legacy system, like ERPs or Life Data Analysis tools. Since it is not possible to cover all commercial tools interfaces, the consortium decided instead to provide open interfaces (based on JSON files over HTTP protocol exchange) for all its modules.
01-05-2017
-31-10-2020
01-01-2019
-31-12-2022
01-01-2019
-31-07-2022
Main IDS components used:
Approach:
01-10-2020
-30-09-2023
Integration with end-users MES systems.