Servicio de Información Comunitario sobre Investigación y Desarrollo - CORDIS

Qualitative situation assessment

The aim of the CHEM project was to develop and implement advanced Decision Support Systems (DSS) for process monitoring, data and event analysis, and operation support in industrial processes. The systems are synergistic integration of innovative software tools, which improve the safety, product quality and operation reliability as well as reduce the economic losses due to faulty states, mainly in refining, chemical and petrochemical processes.

The CHEM applications consist of integrated sets of software toolboxes that provide robust detection and diagnosis of process problems in real-time. The systems assist operators in assessing process status and responding to abnormal events. The project provides a flexible architecture and a methodology in order to facilitate the development of such applications on many processes.

The toolbox ”Qualitative situation assessment”, basically will allow the determination and recognition of qualitative and semi-qualitative user-defined process situations or states from on-line quantitative measurements and/or qualitative interpretations of process variables.

The toolbox is based on a self-learning classifying technique called LAMDA (which relies on the generalizing power of Fuzzy Logic and the interpolation capability of logical hybrid connectives). The special nature of LAMDA’s algorithms enables it to cope simultaneously with numerical and qualitative information. Consequently, LAMDA clearly outperforms many other classifying techniques that have to transform qualitative inputs into binary codes. The classification algorithms based on the hybrid connectives are closely related to the neural networks operation.

However, LAMDA’s explanation capabilities makes it a much more useful tool than neural networks when it comes to analysing the obtained outputs. The scope of the toolbox is divided into two main stages. An off-line stage concerning the design and construction of a classification system, from a set of experimental data. The second stage will be an on-line stage, where the use of this classification system will determine the present functional state of the process.

Reported by

Campus Montilivi, Edifici P4
17071 Girona
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