Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
UAV BASED INNOVATIVE MEANS FOR LAND AND SEA NON-COOPERATIVE VEHICLES STOP (AEROCEPTOR)

Framework: FP7 — Cooperation
Programme: Security
Destination: Increasing the Security of citizens
Action type: Collaborative project
Countries involved: Spain,France,Poland,Italy,Austria,Israel,Türkiye,France,Spain
Call:  (FP7-SEC-2011-1, 2011)
Start date: 2013-01-01
End date: 2016-05-31
Duration (months): 41.0
Total project cost (EUR): 4862753.0
EU funding (EUR): 3468859.75
Participants: 15
Project status: CLOSED

Organized crime does an intensive use of non-cooperative vehicles (cars and motorboats mainly) for a variety of criminal activities, as they are transport of illegal immigrants or smuggling of goods (especially drugs). This generates a very large number of operations carried out by law enforcement agencies in order to intercept these vehicles. During the vehicle interception operations, non cooperative vehicles stop is usually carried out using means which are not always effective, and very often dangerous for the safety and security of vehicle occupants and law agents. The law enforcement agencies in charge of this operations acknowledge that new control and interception means and procedures are needed in order to increase their capabilities to track and intercept the suspicious vehicles, minimizing all kind of risks for vehicle occupants and agents, and using the lowest possible volume of highly trained human resources. The present project aims precisely, at increasing the capability of law enforcement authorities to remotely, safely and externally, control and stop non-cooperative vehicles in both land and sea scenarios, by means of Unmanned Aerial Vehicles. For this, the UAV has to be equipped with some onboard system(s) providing the capability to intercept (slow and stop) the vehicles, and this is precisely the concept of the AEROCEPTOR system proposed in this project: AEROCEPTOR will be an unmanned aerial vehicle, supported by a Ground Control Station infrastructure, and equipped onboard with a set of several systems to perform the car/boats interception. AEROCEPTOR aims at offering a cost effective solution taking advantage of already existing systems and Components of the Self. This means that AEROCEPTOR will take advantage of the existing equipments and systems to adapt them to the project if possible. In those cases where the necessary subsystems do not exist or do not meet AEROCEPTOR needs, they will be developed.

Keywords: uas,non cooperative vehicles,electronic interference equipment,coercive & disuasive means
Reduction of Suicides and Trespasses on RAILway property (RESTRAIL)

Framework: FP7 — Cooperation
Programme: Transport (including Aeronautics)
Destination: Sustainable surface transport (INCLUDING THE �EUROPEAN GREEN CARS INITIATIVE�)
Action type: Collaborative project
Countries involved: France,Finland,Sweden,France,Spain,Germany,Sweden,Spain,Türkiye,Germany,Poland,Netherlands,Italy,United Kingdom,Belgium,Israel
Call:  (FP7-SST-2011-RTD-1, 2011)
Start date: 2011-10-01
End date: 2014-09-30
Duration (months): 36.0
Total project cost (EUR): 3868392.6
EU funding (EUR): 2816243.0
Participants: 18
Project status: CLOSED

The aim of the RESTRAIL project is to reduce the occurrence of suicides and trespasses on railway property and the costly service disruption these events cause, by providing the rail industry with an analysis and identification of cost-effective prevention and mitigation measures. The project starts by identifying the state of the art of best practices and research findings (inside and outside Europe) combined with an analysis of factors (internal to railways or external such as media communication) influencing the occurrence of suicides and trespasses and their consequences, based on official data sources and other collected data. This work will consider hotspots and other high risk access points such as level crossings, station platform ends and bridges. This is followed by an assessment of existing countermeasures (technical and soft) for reducing suicides, preventing trespasses and mitigating the consequences on rail operations. Attention will then be given to the development of new approaches particularly those involving soft measures. The project will demonstrate some selected measures in order to evaluate the findings and finally develop recommendations and guidelines. This project is led by railways since it is a rail related topic which aims to answer the concerns of the rail industry. However an essential feature of the project is the involvement of a wide range of relevant professional expert knowledge in the areas of human science and health, law enforcement, emergency services, education and social services, media and communication, road and rail. This will ensure the project output is of practical use to all who can be involved with suicides and trespasses. The final outcome will be a toolkit, accessible through a user friendly interface (for consultation and continuous update) in order to support the decision-makers in taking practical steps to reduce suicides and trespasses and to mitigate the consequences once an event occurs.

Keywords: safety,security,rail transport,mitigation measures,prevention suicides and trespasses,human fatalities
Development of the Future Rail Freight System to Reduce the Occurrences and Impact of Derailment (D-RAIL)

Framework: FP7 — Cooperation
Programme: Transport (including Aeronautics)
Destination: Sustainable surface transport (INCLUDING THE �EUROPEAN GREEN CARS INITIATIVE�)
Action type: Collaborative project
Countries involved: United Kingdom,France,United Kingdom,Austria,Netherlands,Sweden,Italy,Italy,Czechia,Czechia,Germany,Switzerland,France,Sweden,France,Italy,Germany
Call:  (FP7-SST-2011-RTD-1, 2011)
Start date: 2011-10-01
End date: 2014-09-30
Duration (months): 36.0
Total project cost (EUR): 4875197.39
EU funding (EUR): 2998465.0
Participants: 22
Project status: CLOSED

D-RAIL will focus on freight traffic, identifying root causes of derailment of particular significance to freight vehicles, which have a wider range of operating parameters (as a result of the huge range in loads, speeds and maintenance quality) than passenger vehicles. One key question that will be studied is how independent minor faults (e.g., a slight track twist and a failing bearing) could combine to cause a derailment. D-RAIL will extend this study to include the expected demands on the rail freight system forecast for 2050, such as heavier axle loads, faster freight vehicle speeds for time-sensitive – low volume high value high speed services (LVHVHS) – goods, radically new vehicle designs, or longer train consists. A set of alarm limits will be specified which can be selected as appropriate by infrastructure managers, depending on local conditions. In tandem with the above analysis, current monitoring systems (both wayside and vehicle-mounted) and developing technologies will be assessed with respect to their ability to identify developing faults and potential dangers. Where current systems are shown to be deficient, the requirements for future monitoring systems will be specified. D-RAIL will also examine vehicle identification technologies, such as the standards- and interoperability-focussed RFID system being implemented by GS1 and Trafikverket. Integration of alarm limits, monitoring systems and vehicles across national borders and network boundaries will be examined and a deployment plan set out based on RAMS and LCC analyses. Procedures for applying speed limits to faulty vehicles, or taking them out of service, will be set out; this will include communication with the parties responsible for the transport of the freight and for maintenance of the vehicle. This will input to standards, regulations and international contracts. For field testing and validation, D-RAIL will have access to VUZ’s test track in the Czech Republic.

Keywords: derailment,freight trains,monitoring,vehicle and track inspection
On-the-cloud environment implementing agile management methods for enabling the set-up, monitoring and follow-up of business innovation processes in industrial SMEs. (EXTREMEFACTORIES)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for the Enterprise and Manufacturing
Action type: Collaborative project
Countries involved: Spain,Germany,United Kingdom,United Kingdom,Finland,Spain,United Kingdom
Call:  (FP7-2011-NMP-ICT-FoF, 2011)
Start date: 2011-09-01
End date: 2014-04-30
Duration (months): 32.0
Total project cost (EUR): 3189117.0
EU funding (EUR): 2448343.0
Participants: 11
Project status: CLOSED

The ExtremeFactories project proposes the conception of a collaborative internet-based platform with semantic capabilities (by means of ontology modeling) that implements a new methodology for the adoption of a systematic innovation process in globally acting networked SMEs. The platform will support SMEs to manage and implement the complex innovation processes arisen in a networked environment, taking into account their internal and external links, by enabling an open multi-agent focused innovation (i.e. a customer/provider/supplier/employee focused innovation). The solution will be specifically focused on the needs of manufacturing companies and will observe both product and process innovation. The construction of the ExtremeFactories methodology will be based on individual practices found in traditional innovation management methods, such as TRIZ, combined with a selected group of practices obtained from different Agile Methodologies (such as Extreme Programming, SCRUM and others). (The project gets its name from the ExtremeProgramming methodology). The platform will be built upon a service oriented architecture, implementing semantic functionalities. This platform will provide the SMEs with services to support them in any step of the innovation life-cycle (problem detection, inception of ideas, priorization of ideas, implementation and follow-up). The project has a strong industrial basis, putting together the efforts of 7 industrial manufacturing SMEs in the way to become virtual networked organizations by the way they handle their relationships to third parties, such as customers, suppliers, distributors, etc. This big effort will result in a methodology and platform that will be validated and assessed in predefined business scenarios at these organizations. The project proposes a solid dissemination plan, offering a community management activity in order to get a wider target, as well as a first version of an exploitation plan to be further detailed.

Keywords: agile methodologies systematic innovation knowledge services ontologies virtual manufacturing smes
New Energy Efficient Demonstration for Buildings (NEED4B)

Framework: FP7 — Cooperation
Programme: Energy
Destination: Energy efficiency and savings
Action type: Collaborative project
Countries involved: Spain,Italy,Sweden,Türkiye,Spain,Belgium,Italy,Sweden,Belgium,Belgium,Italy
Call:  (FP7-2011-NMP-ENV-ENERGY-ICT-EeB, 2011)
Start date: 2012-02-01
End date: 2018-01-31
Duration (months): 72.0
Total project cost (EUR): 9383504.0
EU funding (EUR): 5681652.0
Participants: 17
Project status: CLOSED

NEED4B aims to develop an open and easily replicable methodology for designing, constructing, and operating new low energy buildings, aiming to a large market uptake. The NEED4B methodology will be validated and refined by a strong demonstration programme, envisaging the construction of 23.560 square meters, spread among four different climatic zones, buildings types and uses. The weighted average of energy consumption in the demo sites, on primary energy, is 43 kWh/m2•year, representing a 65% of reduction compared with the current regulation and regular practice. The weighed average of CO2 emissions is 1,91 kg/m2•year, corresponding to a of 94% reduction compared to the current national regulations and regular practices. The total emissions avoided by the four demo sites are 831,9 tCO2/year. The proposed methodology will integrate tools and procedures that already exist or are under development, like Integrated Project Delivery, Building Information Modelling, Life Cycle Assessment, Life Cycle Cost and simulation softwares, providing recommendations and guidelines, adapted to the different type of stakeholders (investors, promoters, owner, users, architects, contractors, public authorities, SMEs, etc.) for the whole construction process. NEED4B will be part of an ambitious initiative that will totally invest 191 M€ and involve around 46.000 person months for the design, construction and monitoring of the demo sites. The requested EC contribution (5,7 M€ grant and 699 persons months) will help to leverage these resources, obtaining an exemplary coordinated EU low energy buildings demonstration, with high replication potential due to the associated methodology, and a relevant visibility. The weighted average energy savings are 60 kWh/m2•year, resulting in reduction of the bill of 9,6 €/m2•year. The weighted average cost for each kWh reduced is 0,81 €/ m2•year, and the weighted average cost for each kgCO2 avoided is of 3,5 €/ m2•year.

Keywords: new buildings,energy efficiency
A bio-mimicry enabled artificial sniffer (SNIFFER)

Framework: FP7 — Cooperation
Programme: Security
Destination: Intelligent surveillance and enhancing border security
Action type: Collaborative project
Countries involved: France,United Kingdom,Germany,Switzerland,Italy,France,Israel,Greece
Call:  (FP7-SEC-2011-1, 2011)
Start date: 2012-02-01
End date: 2015-05-31
Duration (months): 40.0
Total project cost (EUR): 4716418.86
EU funding (EUR): 3493820.72
Participants: 15
Project status: CLOSED

The capture and analysis of odours offers significant potential for border security applications related to the detection and analysis of persons, illegal substances and in particular explosives. Dogs - the most effective "tool" for detecting and analysing odours - can only be trained for a small sample of odours, get easily tired and are often perceived as intrusive by the public. The SNIFFER project proposes a highly innovative one-stop shop approach to complement dogs and leverage their capabilities. This approach is based on state-of-the-art technologies centred on a new generation of olfactory biosensors. The SNIFFER devices to be developed combine in a one-stop shop sampling, pre-concentration and pre-treatment with bio-mimicry, synthetic diamond sensor technology and multi-parametric training software. This will enable the detection of odours arising out of security threats which may occur in a panel of border security applications. This flexible technology allows users to continuously keep improving the "olfactory scope" of their "artificial sniffers" quickly and at low additional cost, even once they have been deployed. This concept results from a multidisciplinary collaboration of several years between research teams from Italy, the UK, France and Switzerland. Users involved in the SNIFFER project will provide a representative set of usage cases, all related to border control security in the large sense - such as the detection of illegal substances carried by people and in suitcases (open or on a luggage belt) and cars or the detection of hidden people in containers. EADS, the integrator partner will build dedicated systems for these usage cases to allow for a comprehensive assessment in view of progressively improving the technology. The project will hence open the road towards a promising market place for "artificial sniffing" centred border security solutions and for olfactory applications in general.

Keywords: artificial sniffer,bio-mimicry,explosive detection,drug detection,sampling,pre-concentration,diamond sensor,protein engineering,border security,odour,biosensor,multi-parametric training
ADaptive Virtual ENterprise ManufacTURing Environment (ADVENTURE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for the Enterprise and Manufacturing
Action type: Collaborative project
Countries involved: Germany,Germany,Netherlands,Portugal,Finland,Austria,United Kingdom,Finland,Bulgaria
Call:  (FP7-2011-NMP-ICT-FoF, 2011)
Start date: 2011-09-01
End date: 2014-08-31
Duration (months): 36.0
Total project cost (EUR): 3570789.0
EU funding (EUR): 2807000.0
Participants: 10
Project status: CLOSED

Virtual factories are a well-established concept although existing solutions have limits: • Scoped at the business level • Provide an isolated view on certain virtual factory aspects • Restricted to simple tasks • Simple extensions to classic ERP and SCM systems • Limited integration from other information sources • Lack of distinction between -internal and cross-company processes • Limited interoperability of systems/data across factories There are limited tools and technologies which provide reliable end-to-end cross partner interoperability of ICT systems in the manufacturing domain and to easily fuse dispersed assets such as processes, information, status and other resources. In order to cope with the demand for flexibility and fast-paced business innovation, there is a need for an integrated, yet framework, environment which is able to establish, manage, monitor, and adapt virtual factories. This needs to be based on the requirements of the manufacturing processes at a deep technical level to provide easy, flexible interoperability with minimal user skills especially to support SMEs. ADVENTURE will deliver this platform and the accompanying tools by providing a holistic environment for plug-and-play virtual factories based on cross-organisational manufacturing processes. ADVENTURE consortium is experienced, geographically wide, and represents a spectrum of organisations being composed of Universität Darmstadt (DE & Coord), research organisations INESC (PT), U.Vaasa (FI), U.Vienna (AT) and companies Ascora (DE), TIE (NL), ISOFT (BG), TANET (UK) and AZEV (PT) of which most are SMEs. The partners provide world leading expertise in SOA, Cloud, the Internet of Things. eBusiness/eCommerce, Interoperability, industrial engineering, complex supply chains, workflow, flexible process management, semantics, and virtualised Infrastructures, SME manufacturing & collaboration, Quality Management and measurement Systems.

Keywords: virtual factories,manufacturing,service-oriented computing,cloud computing,internet of things
Mobile robots for inspection and maintenance activities in extensive industrial plants (MAINBOT)

Framework: FP7 — Cooperation
Programme: Nanosciences, Nanotechnologies, Materials and new Production Technologies - NMP
Destination: Recovery Package: Public-Private Partnership (PPP) topics within NMP
Action type: Collaborative project
Countries involved: Spain,Germany,France,Spain,Spain,Spain
Call:  (FP7-2011-NMP-ICT-FoF, 2011)
Start date: 2011-11-01
End date: 2014-10-31
Duration (months): 36.0
Total project cost (EUR): 3793593.68
EU funding (EUR): 2499851.0
Participants: 6
Project status: CLOSED

Efficient and effective maintenance is crucial for all kind of industries. In the case of capital intensive investment industries it is even more relevant and has an important impact in the operation costs during the long life cycle of their production means. Besides the traditional maintenance problems of any industrial installation, this kind of facilities presents other additional challenging characteristics: -Extensive production facilities -Huge number of control points -Multiple inspection technologies to be used -Hazardous working conditions MAINBOT proposes using service robots to autonomously execute inspection tasks in extensive industrial plants in equipment that is arranged horizontally (using ground robots) or vertically (climbing robots). The industrial objectives are: -Ubiquitous sensing -Leakage detection -Surface and internal monitoring of equipment Our approach is not to develop robots from scratch but to take available wheeled mobile platforms and climbing robots that have already been tested in other related scenarios as starting point, and adapt them deploying innovative solutions in order to fulfill these industrial objectives: -Autonomous navigation: Robots (ground and climbing) must be able to autonomously navigate in a rather structured environment in a safe way. -Mobile manipulation of tools and sensing equipment for maintenance and inspection. -Sensor fusion: to exploit the information provided by multiple sensing technologies deployed in the robot. These industrial objectives will be instantiated in a real industrial scenario, a thermal solar plant that depicts common problems of this kind of plants: 230 hectares, 209.664 mirrors, 90 km of absorber tubes, huge tanks (Diam. 38 m, height 14m), harzardous working conditions. The operation of semi-autonomous or fully autonomous mobile robots will increase the efficiency of the plant, reduce the operation and maintenance costs and improve safety and working conditions of workers

Keywords: robot,nondestructive testing,inspection,maintenance,plant
Test of Rolling Stock Electromagnetic Compatibility for cross-Domain interoperability (TREND)

Framework: FP7 — Cooperation
Programme: Transport (including Aeronautics)
Destination: Sustainable surface transport (INCLUDING THE �EUROPEAN GREEN CARS INITIATIVE�)
Action type: Collaborative project
Countries involved: Spain,Spain,France,Sweden,Sweden,United Kingdom
Call:  (FP7-SST-2011-RTD-1, 2011)
Start date: 2011-11-01
End date: 2014-04-30
Duration (months): 30.0
Total project cost (EUR): 2825600.0
EU funding (EUR): 2042026.0
Participants: 7
Project status: CLOSED

The call SST.2011-2.5.1 in the transport topic, enclosed in the area of Interoperability and Safety proposed the “Harmonisation of freight and passenger Rolling Stock approval tests for electromagnetic compatibility (EMC)”. In that context, TREND project has the objective to progress beyond the state of the art, addressing this situation by means of the design of a test setup and a test procedure that enable the harmonization of freight and passengers rolling stock approval tests for EMC, focusing not only on interferences with broadcasting services but also on railway signalling systems. TREND will also identify and design the cross acceptance test sites on electrified and non-electrified lines that reproduce representative worst case conditions for steady state and transient behaviours. These worst case conditions will be obtained thanks to the electromagnetic modelisation of the rolling stock within the rail and feeding infrastructure. The dissemination of the project outcomes is the last objective of the project. Thanks to this, the impact of TREND embraces the terms safety, availability and economy, and is addressed to the main stakeholders in the European railway industry: web page, 9 contributions to technical journals, 2 workshops for companies, 2 courses for professional advancement and students, the creation of an advisory board and of course concrete proposals for enhancing EMC standards and Technical Specification for interoperability. The medium size TREND consortium is formed by CEIT (S); CAF (S); CEDEX (S); IFSTTAR (F), Y-EMC (UK), TV (S) and LTU (S), which guaranties a more efficient coordination. Such consortium presents unique features in terms of technical competence, representation of the complete value of chain, quality assurance and research orientation.

Keywords: railway,harmonization,electromagnetic compatibility,emc standards,approval tests,cross-acceptance test site,handling of transients,electromagnetic modelization,worst case conditions,testing on-lab