Data Driven Assembly of Procedurally Modeled Facilities

dc.contributor.authorBishop, M. Scotten_US
dc.contributor.authorFerrer, Josèen_US
dc.contributor.authorMax, Nelsonen_US
dc.contributor.editorEric Galin and Michael Wanden_US
dc.date.accessioned2014-12-16T07:11:26Z
dc.date.available2014-12-16T07:11:26Z
dc.date.issued2014en_US
dc.description.abstractWe present a method to arrange components of industrial facilities in a constrained site footprint. We use a probabilistic graphical model of industrial sites and existing procedural modeling methods to automate the assembly and 3D modeling of wastewater treatment plants. A knowledge engineered approach produces a combination of components that inherently contains domain specific information like process dependencies and facility size. The inferred combination is laid out using mathematical optimization or via a physics-based simulation resulting in an arrangement that respects the industrial process and design plausibility.en_US
dc.description.seriesinformationEurographics 2014 - Short Papersen_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttps://doi.org/10.2312/egsh.20141009en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.2 [Computer Graphics]en_US
dc.subjectGraphics Systems Standen_US
dc.subjectalone Systemsen_US
dc.subjectG.3 [Probability and Statistics]en_US
dc.subjectProbabilistic Algorithms Bayesian Networksen_US
dc.subjectI.2.6 [Computing Methodologies]en_US
dc.subjectLearning Knowledge Acquisition.en_US
dc.titleData Driven Assembly of Procedurally Modeled Facilitiesen_US
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