MESSRS: A model-based 3D system for of recognition, semantic annotation and calculating the spatial relationships of a factory's digital facilities Articles uri icon

publication date

  • October 2016

start page

  • 40

end page

  • 56

volume

  • 82

International Standard Serial Number (ISSN)

  • 0166-3615

Electronic International Standard Serial Number (EISSN)

  • 1872-6194

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. (C) 2016 Elsevier B.V. All rights reserved.

keywords

  • facilities; inventory; spatial relations; reverse engineering; semantic digital mockup; 3d point cloud; ontology; recognition of primitives