Obiettivo
There is a vital need for systems to continuously monitor the structural health of the cranes. Cranes are of the most common machinery used in industry. Cranes of any type are used for the manipulation of loads, depending on load specifications as well as task requirements, accessibility and cost. They are installed in industrial plants, construction sites, shipyards, ports, etc.
In 2008, there was a reported 401 crane accidents of which 217 accidents were fatal. It is fair to assume that not all accidents are reported. An Occupational Health and Safety Administration report cites that there is insufficient data to calculate the actual likelihood of death of the entire worker exposure to lifting operations. However for crane operators alone there is a risk of 1 in 1000 being fatally injured.
It is proposed to develop a continuous non-invasive approach for monitoring failures of cranes in real-time. The project will develop an advanced integrated structural health monitoring system to continuously monitor cranes in industrial, logistics, construction, and shipbuilding sites. New and novel Non-Destructive Testing (NDT) techniques and sensor systems are used in order to inspect for structural damage or cracks in the main frame caused from fatigue, distortion, corrosion, etc., and to provide real time information about the condition of the structure.
The CRANESInspect monitoring and prevention system features important advantages, such as:
- Real time monitoring of the structure to ensure safety
- Prevention of a catastrophic and fatal accident
- Cost-effective and total solution for inspection/maintenance
- Reduction of human intervention and operator subjectivity
- Highly sensitive and accurate Acoustic Emission (AE) technology
The goal is to reach further than any similar system in existence toward a complete and commercially competitive solution at the end of the project.
Campo scientifico (EuroSciVoc)
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- ingegneria e tecnologiaingegneria civileingegneria strutturalemonitoraggio strutturale
- ingegneria e tecnologiaingegneria elettrica, ingegneria elettronica, ingegneria informaticaingegneria elettronicasensori
- scienze mediche e della salutescienze della salutesalute pubblicasalute sul lavoro
- ingegneria e tecnologiaingegneria meccanicaingegneria dei veicoliingegneria navalenavi marittime
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Argomento(i)
Invito a presentare proposte
FP7-SME-2011
Vedi altri progetti per questo bando
Meccanismo di finanziamento
BSG-SME - Research for SMEsCoordinatore
154 51 ATHINA
Grecia