Agency: Cordis | Branch: FP7 | Program: CP-TP | Phase: NMP-2008-4.0-9 | Award Amount: 3.60M | Year: 2009
The main objective of the 4-year project is to develop intelligent personal protective equipment (PPE) system that will ensure active protection and information support for personnel in high risk and complex environments, in particular chemical rescue teams, firefighters and mine rescuers, who are exposed to fire, explosions, high temperature, dangerous substances, limited visibility, high humidity and limitation of breathable air. These high-level risks are reflected in a significant number of injuries and fatalities reported in the target sectors. The S&T objectives of the project are: - to integrate, within the new PPE system, state-of-the-art materials, active textiles, optical fibre sensors, gas and temperature detectors, ICT - to develop new materials (based on nanotechnology) and integrate them into PPE elements in order to enhance multi-functionality and adaptability; - to assure ergonomic design of new PPE and validate its functionality, safety, comfort and performance level by usability tests in real working conditions. The project is divided into 4 phases: 1) Conceptualization; 2) Technical development and integration, 3) Verification and validation; and 4) Dissemination and exploitation. The consortium consists of 16 partners from 6 countries: 5 RTDs, 8 SMEs, 2 industrial companies and 1 non-profit organisation. Three partners representing target groups participate in the whole project to guarantee full adaptation of the PPE system to users needs. The project will have an impact on: the reduction of occupational injuries and disease in the EU (the population of end-users estimated at 3-5 mln.); European regulations (PPE Directive) and harmonised EN standards; European leadership in PPE-related research and innovation; the growth of European PPE market and the development of ERA in the area of industrial safety.
Mroz J.,Vacat Sp.zo.o. |
Skupien K.,NAFRA POLSKA Sp.ZO.O. |
Drwiega A.,Instytut Techniki Gorniczej KOMAG |
Budzynski Z.,Instytut Techniki Gorniczej KOMAG |
And 4 more authors.
Przeglad Elektrotechniczny | Year: 2013
GAD-1 mining drivetrain with state-of-the-art battery electric drive, equipped with the batteries of new generation can be advantageous alternative to currently applied transportation machines. It can significantly improve air quality and working conditions in underground mine, where in the result of increasing number of diesel drives in suspended monorails and floor-mounted railways the workers are exposed to high concentration of exhaust gases, generated heat and noise. The GAD-1 can also generate pulling force in rack-and-pinion and friction drive system. The article describes a prototype drivetrain GAD-1, which was based on a range of new technical solutions applied for the first time in the mining industry.
Matusiak P.,Instytut Techniki Gorniczej KOMAG
Prace Naukowe Instytutu Gornictwa Politechniki Wroclawskiej | Year: 2012
Regulations as regards environment protection and effectiveness criteria force the manufacturers to offer high-quality aggregates. Pulsatory jig as repeatedly used device enables meeting mentioned above requirements for minerals. Principle of pulsatory jig operation is presented in the paper. Versions of design solutions and examples of implementations of pulsatory jigs are given. Application possibilities of suspension classifier for separation of fine minerals are described.
Oleksy A.,Instytut Techniki Gorniczej Komag |
SzymanSki Z.,Silesian University of Technology
Archives of Mining Sciences | Year: 2010
The paper present's an analysis of the possibility an application of chosen artificial intelligence methods in control, automatics and diagnostics systems of hoisting-machines The analysis is limited to: fuzzy logic control, genetic algorithms, and modern neural networks II and III generation methods. These methods assure realization of complicated algorithms a control of hoisting-machine with assurance of energy-saving operating conditions, monitoring of exploitive parameters, and predictive diagnostics of technical state a hoisting-machine, reducing a number of damage states. In paper present's an idea of control system and diagnostics of machine basing on method: fuzzy- logic neuro system of the control circuit (fuzzy logic control in neural networks). In the paper present's a chosen of control algorithms, and results of computer simulations of chosen mathematical models of hoisting-machine.