Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6924017 | Computers in Industry | 2016 | 17 Pages |
Abstract
Obtaining a detailed, orderly and valued relationship of elements belonging to a factory, that is, making an inventory, can be a complex task; this is because it is necessary to consider both general aspects, such as the characteristics of the factory and specific aspects such as elements to be inventoried. Automatic recognition, semantic rules and calculation of spatial relationships can help in the description of elements in digital mockups. The traditional geometric primitives recognition algorithms can recognize primitives, but the real elements can be large and complex because they are composed of several geometric primitives. Therefore, it is necessary to improve the traditional approach by incorporating semantics in order to identify and characterize recognized geometric primitives, along with rules for composing real objects. With this in mind, this paper presents MESSRS, a novel and conceptual model for semantic representation of digital mockups. MESSRS applies 3D recognition techniques, topology mechanisms and semantic rules to identify and tag elements of a factory in order to make a complete inventory. The proposed model serves as a basis for the exchange of logical, physical and semantic information obtained from real objects in a factory. In addition, an evaluation of a real use case of this model is also presented as proof of the concept.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Yuliana Pérez-Gallardo, Ángel GarcÃa Crespo, José Luis López Cuadrado, Israel González Carrasco,