Objective
At first, the project aimed to develop a control circuit so that the microprocessor could calculate optimum settings out of a number of signals measured on the loom during operation. To this end, a large number of loom tests has been performed in the participating weaving mills in order to develop a simulation model of the origin and occurrence of set marks. Unfortunately, this approach did not result in satisfying simulation models.
At the mid-term assessment, it was decided to choose another approach to come to the ultimate goal of the project, the development of a routine to avoid set marks in weaving. An expert system was developed integrating the expertise on set marks of loom manufacturers and weavers and the knowledge on set marks obtained in the large experimental part of the project. The expert system is a rule based system taking the fabric, yarn and loom type into account and gives rules for parameters for the different loom settings that are important for set marks. The personal computer on which the expert system runs can be connected to the loom so that bi-directional communication between loom and personal computer facilitates the operation of the system.
The expert system has been extensively tested in the participating mills and good results have been obtained so far. These companies are already using the system and it is foreseen that the system will become commercially available in near future. Use of the system will improve quality of woven fabrics thanks to the reduced number of set marks occurring during weaving.
An automatic marker system has been developed in order to perform set mark experiments automatically : a number of loom stops and starts can be made without human intervention and the place of the stops is marked via a paint spray on the fabric. Afterwards, the fabric can be investigated to evaluate the occurrence of set marks.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering computer hardware computer processors
- natural sciences computer and information sciences artificial intelligence expert systems
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
59250 Halluin
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.