Automating and optimizing spatial data processing workflows for civil infrastructure inspection

Pingbo Tang, Anu Pradhan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Limited resources are available to timely inspect and maintain the aging civil infrastructure across the United States. Reality capturing technologies, such as laser scanning, is replacing visual inspection and manual surveying for improved data qualities and reduced resource requirements, while bringing challenges of timely processing terabytes of spatial data. Even using state-of-art 3D reverse engineering environments, inspectors need to manually select data processing algorithms, compose and configure data processing workflows, and verify the correctness of these workflows. Such manual design and execution of spatial data processing workflows are tedious, and result in sub-optimal workflows that do not fully utilize time and resources for producing accurate and detailed spatial information needed by domain applications. This paper proposes a computational framework that will assist in the infrastructure inspection process through streamlined spatial data processing workflow generation, execution, and optimization. Based on previous studies on spatial information query, spatial data processing, and building information modeling (BIM), the authors are exploring the feasibility of automatically generating and optimizing spatial data processing workflows based on formalized representations of these workflows.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2012
Subtitle of host publicationConstruction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress
Pages899-908
Number of pages10
DOIs
StatePublished - Sep 19 2012
EventConstruction Research Congress 2012: Construction Challenges in a Flat World - West Lafayette, IN, United States
Duration: May 21 2012May 23 2012

Publication series

NameConstruction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress

Other

OtherConstruction Research Congress 2012: Construction Challenges in a Flat World
CountryUnited States
CityWest Lafayette, IN
Period5/21/125/23/12

Keywords

  • Automated planning
  • Civil infrastructure inspection
  • Laser scanning
  • Scientific workflow
  • Workflow generation

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

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  • Cite this

    Tang, P., & Pradhan, A. (2012). Automating and optimizing spatial data processing workflows for civil infrastructure inspection. In Construction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress (pp. 899-908). (Construction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress). https://doi.org/10.1061/9780784412329.091