Find here the overview of the Success stories
SPEAR aims to develop a flexible optimization platform that helps to improve a broad spectrum of industrial production processes in terms of energy-related aspects. Hence, a focus within the project is the energy optimization of plants’ production processes, production lines and (industrial) buildings. The platform will be used to optimize the energy consumption of existing and new production plants, and the method will be applicable to both virtual commissioning as well as running production systems.
Software-Intensive Systems and Services (SIS) require more agile, round-trip engineering processes that better leverage legacy assets, and more systematic and automated variability management. REVaMP² has conceived, developed and evaluated the first comprehensive automation toolchain and associated process to support the round-trip engineering of SIS Product Lines, enabling the profitable engineering of mass-customised products and services across many different domains.
Engineering is the most time-consuming aspect of innovation and products are increasing in complexity, yet there has not been a corresponding growth in the number of people involved in production facility planning. Due to the reduction in cycle times needed to remain competitive, combined with highly individualised products and the fact that one changed parameter can affect many other areas, problems in the line can have serious time and cost consequences for businesses.
Traditional media is losing ground to personalised experiences. Children of today, for example, don’t even know what it’s like to have a set of TV channels with fixed broadcasting timeslots for your favourite shows; they choose what to watch at the time they want. And they even produce thousands of pieces of content on their own each day. This trend in the entertainment business can also be seen in society, where city representatives no longer make decisions on their own. Everybody wants to be involved, or at least can be.
A key challenge faced by city operators, municipalities and political decision makers is the fragmentation of information into silo-oriented closed systems and organisation models. This project aims to deliver an integrated 3D digital model and information platform that facilitates information collection, sharing, management, analysis and dissemination from diverse public and private urban infrastructures and resources. The platform supports public authorities to improve quality and efficiency of municipal services. Furthermore, adequate security and authentication methods allow selected urban data sources to be exposed to the full smart city ecosystem, enabling new innovative data-driven applications and services.
Today automotive software-intensive systems are developed in silos by each car manufacturer or original equipment manufacturer (OEM) in-house. This approach cannot meet the long-term challenges of the industry. One solution is to establish a standard car-to-cloud connection, open for external applications and the use of open source software wherever possible without compromising safety and security. The APPSTACLE result will include an open and secure cloud platform that interconnects a wide range of vehicles to the cloud via open in-car and Internet connection and is supported by an integrated open source software development ecosystem.
The convergence of cloud, communication and IoT infrastructure plus the trend towards virtual applications (e.g. migrating software to the cloud) create new challenges for application developers and infrastructure providers. The resulting systems are complex with dynamic resources hiding possible problems. This creates a requirement for flexible monitoring and optimisation methods. The Flex4Apps project addresses the challenges of monitoring and optimising large, distributed, cyber-physical systems. The goal of the project is to provide a solution to manage the high data volumes and complexity of system monitoring whilst disturbing the target system as little as possible.
Electric vehicles, connectivity and autonomous driving functions will revolutionise the automotive domain, which is a major challenge for vehicle manufacturers. Customers should be willing to pay for autonomous driving features that are a small part of the total car costs. The rationale behind DANGUN is that rather than using expensive sensors a comparable performance can be achieved through the close cooperation of suppliers of advanced perception sensors, vehicle manufactures and academia. The DANGUN project aims to develop a Traffic Jam Pilot function with autonomous capabilities using low-cost automotive components.
Reflexion will support high-tech industry by providing significant improvements in quality and stability during early product roll-out. The results will include the ability to react to unforeseen problems or emerging needs in a speedy and cost-effective way by augmenting products with a layer of data sensing and data-analytics to quickly infer ‘missed’ or ‘misunderstood’ end-customer requirements; detecting issues that escape product release testing and product items that need service and maintenance attention. This knowledge is used to further improve the product.
Future mobility solutions will increasingly rely on smart components that continuously monitor the environment and assume more and more responsibility for a convenient, safe and reliable operation. Currently the single most important roadblock for this market is the ability to come up with an affordable, safe multi-core development methodology that allows industry to deliver trustworthy new functions at competitive prices. ASSUME will provide a seamless engineering methodology, which addresses this roadblock on the constructive and analytic side
A strong growth forecast in the digital pathology market for the next five years combined with a decreasing number of qualified pathologists will lead to a tremendous increase in workload in the pathology departments of clinical and pharmaceutical organisations. On top of this there is an urgent need for higher quality diagnostic information enabling more effective and efficient treatments. The 3DPathology project will address these needs by creating a fast, digital, quantitative, spectroscopic and multimodal 3D pathology analysis system.
Fuse-IT will address the need for sustainable, reliable, userfriendly, efficient, safe and secure Building Management System (BMS) in the context of smart critical sites. A main purpose is to solve the dilemma between efficiency and security in intelligent & strategic buildings. The result of FUSE-IT will be a smart secured building system, incorporating secured share sensors, effectors and devices strongly interconnected through trusted federated energy & information networks, a core building data processing & analysis module, a smart unified building management interface and a full security dashboard. Remote multisite monitoring will be implemented, taking advantage of big data analytics.