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MACHINE-MONITORING AND CONTROL OF HOIST TECHNOLOGY IN INDUSTRIAL ENVIRONMENTS.

Objective

Hoists are the most versatile and widely used mechanical handling technology in industry, yet control of the hoist and its end effector (the hook) remains unsophisticated. MACHINE will create models of hoist and crane structures and from there develop monitoring and control techniques for application in the construction and manufacturing industries.
MACHINE (monitoring and control of hoist technology in industrial environments) has completed its system design phase.
The following elements have been finalised:
4 level dynamic crane model suitable to describe the motion of gantry and tower cranes;
distributed control and monitoring system utilising FIELDBUS interconnection;
comprehensive sensor set including ratio data links;
evaluation of motor performances for advanced cranes;
versatile grab for coupling difficult objects.
Objectives include; reduction of swing onpick up by 90%: an increase in the accuracy of load delivery by a radio of between 100:1 and 10:1 (depending on hoist size), and automatic coupling to specified loads, with a 2% rate of failure to couple first time. MACHINE will also builds a crane performance record system so that data provided by the sensor system may be used for more efficient crane development decisions making and activity planning.

Coordinator

AEA Technology plc
Address
Culham Laboratory
OX14 3DB Abingdon
United Kingdom

Participants (5)

Davy Morris plc
United Kingdom
Address
North Road
LE11 1RL Loughborough
Groupement Francais de Construction
France
Address
256 Rue Francis De Pressense
69625 Villeurbanne
LOUGHBOROUGH UNIVERSITY
United Kingdom
Address
Ashby Road
LE11 3TU Loughborough
Societe de Materiel Industriel et d'Equipement
France
Address
3 Avenue Des Orangers
94380 Bonneuil-sur-marne
UNE Nuclear Ltd
United Kingdom
Address
33 South Marston Industrial Estate
SN3 4RB Swindon