Objective
The CLEAN project developed a system for automatic on-line process optimisation in pulp and paper plants. Optimisation is here defined as producing pulp or paper to a given specification consisting of permitted ranges for several measurable quality and environmental parameters, while minimising the cost per tonne of output subject to these constraints. This was achieved by implementing an adaptive controller using 'Case-Based Learning' techniques, originally developed under research into artificial intelligence, supported by neural nets modelling some of the parameters. Quantified results are presented for one pulp mill and one paper mill. The technique is applicable to other industries where the variable quality of the raw materials causes control problems.
The goal of clean is to create a system for automatic on-line high-level parameter setting in pulp and paper plants.
Automated systems used at present perform the classic automation functions such as measuring, open-loop and closed-loop control. They also perform some of the online functions which optimise the individual plant operations. However, the high-level operations of optimising the set-points and control parameters and checking the model and process constants, assumptions and optimisation criteria are only performed infrequently, offline, manually, and generally by a highly qualified technolgist.
The present project aims at developing an automated online approach based on recent advances in case-based learning methods. The system will make the best use of existing literature and historical data, of applicable analytical approaches, of heuristic rules and deep AI, in assessing the overall performance of the pland and in resetting its high-level parameters. At the same time the system will not be static and circumscribed by the rules and values input: it will have in itself the capability to learn from experience and improve its policies.
It is expected that the utilization of the system will lead to cuts in energy, pollution and the use of auxiliary chemicals, a rise in production yield and turnover, and an increase in profit margins
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.
- social sciences sociology industrial relations automation
- natural sciences earth and related environmental sciences environmental sciences pollution
- natural sciences computer and information sciences artificial intelligence heuristic programming
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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
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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
TW11 8LZ TEDDINGTON
United Kingdom
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.