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Digital Twins of Machine Tools allowing the Prediction of Spindle Behavior
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Market Maturity: Tech Ready
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Market Creation Potential
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Women-led innovation
A woman had a leadership role in developing this innovation in at least one of the Key Innovator organisations listed below.
Go to Market needs
Needs that, if addressed, can increase the chances this innovation gets to (or closer to) the market incude:
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UN Sustainable Development Goals(SDG)
This innovation contributes to the following SDG(s)
SUSTAINABLE DEVELOPMENT GOAL 12
Ensure sustainable consumption and production patterns

The UN explains: "Sustainable consumption and production is about promoting resource and energy efficiency, sustainable infrastructure, and providing access to basic services, green and decent jobs and a better quality of life for all. Its implementation helps to achieve overall development plans, reduce future economic, environmental and social costs, strengthen economic competitiveness and reduce poverty.

The EU-funded Research Project
This innovation was developed under the Horizon 2020 project IoTwins with an end date of 31/08/2022
  • Read more about this project on CORDIS
Description of Project IoTwins
The IOTWINS project will deliver large-scale industrial test-beds leveraging and combining data related to the manufacturing and facility management optimization domains, coming from diverse sources, such as data APIs, historical data, embedded sensors, and Open Data sources. The goal is to build a reference architecture for the development and deployment of distributed and edge-enabled digital twins of production plants and processes. Digital Twins collect data from manufacturing, maintenance, operations, facilities and operating environments, and use them to create a model of each specific asset, system, or process. These models are then used to detect and diagnose anomalies, to determine an optimal set of actions that maximize key performance metrics. IOTWINS proposes a hierarchical organization of digital twins modeling manufacturing production plants and facility management deployment environments at increasing accuracy levels: • IoT twins: featuring lightweight models of specific components performing big-data stream processing and local control for quality management operations (low latency and high reliability); • Edge twins: deployed at plant gateways and/or at emerging Multi-access Edge Computing nodes, providing higher level control knobs and orchestrating IoT sensors and actuators in a production locality, thus fostering local optimizations and interoperability; • Cloud twins: performing time-consuming and typically off-line parallel simulation and deep-learning, feeding the edge twin with pre-elaborated predictive models to be efficiently executed in the premises of the production plant for monitoring/control/tuning purposes

Innnovation Radar's analysis of this innovation is based on data collected on 14/10/2022.
The unique id of this innovation in the European Commission's IT systems is: 100323