Cranes are the most dangerous
equipment in industrial and construction sites. A tipped, dropped or
mishandled load can directly injure workers or potentially upset the
equipment. Their dangerousness has special relevance in the chemical
process industry and intermodal transport, where accidental events
could cause the release of hazardous substances. The SPRINCE project
is based on the idea that crane accidents caused by obstructed view
and visual tension problems are preventable, thus it promotes a
real-time computer-aided visual feedback and gives its assessment. The project aims to find the best platform which can
improve the positioning phase performance of industrial cranes by
offering high execution speed, ease of integration, low cost, low
power consumption, less computer memory and good support with precise
position visual guidance (video tracker with web cameras) used to
navigate the object into the correct position.
The literature has highlighted the main needs for crane design (capability to be safely operated, easy maintenance and reduction of typical human problem factors), but up to now research has not been focused on the crane navigation system. Typical crane operator interfaces actually appear to be simple in terms of the number of controls; by moving the spreader quickly and accurately, with or without a container, it requires an exceptional sense of its dynamics, including how to effectively stop the moving mass. The need of a new solution for crane visual tension problems is emerging. In this frame the aim of the SPRINCE project is to improve the performance of industrial cranes with innovative real-time computer-aided visual feedback control and estimate new&emerging risks with early warning indicators tools.
Keywords: operator support
Scientific disciplines: ergonomics
The main goal is to reduce the number of incidents due to situations that can be prevented by promoting a real-time computer-aided visual feedback, based on the following observations:
The project comprises five work packages:
Aleksandar Brkic (Faculty of Mechanical Engineering, University of Belgrade, Serbia)
Maria Francesca Milazzo (epartment of Electronic Engineering, Industrial Chemistry and Engineering, University of Messina, Italy) — project coordinator
Vesna Spasojevic Brkic (Faculty of Mechanical Engineering, University of Belgrade, Serbia)
Nikola Dondur (Faculty of Mechanical Engineering, University of Belgrade, Serbia)
David Valis (Faculty of Military Technologies, Brno University of Defence, Czech Republic)
CZ-TPIS (Czech Republic)
Information last updated on 2016-09-15.
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