Applying graph matching techniques to enhance reuse of plant design information
This work addresses the specific problem of design reuse for process plant engineers, but it is incremental as it adapts existing graph matching algorithms to a new domain.
The paper tackled the problem of reusing process plant design data by applying graph matching techniques, proposing a methodology with graph simplification and node similarity measures that was empirically evaluated on industrial pulp and paper plant data.
This article investigates how graph matching can be applied to process plant design data in order to support the reuse of previous designs. A literature review of existing graph matching algorithms is performed, and a group of algorithms is chosen for further testing. A use case from early phase plant design is presented. A methodology for addressing the use case is proposed, including graph simplification algorithms and node similarity measures, so that existing graph matching algorithms can be applied in the process plant domain. The proposed methodology is evaluated empirically on an industrial case consisting of design data from several pulp and paper plants.