• ISSN: 1674-7461
  • CN: 11-5823/TU
  • Hosted by:China Society and Technology Association
  • Organizer:China Graphics Society
  • Guidance:China Academy of Building Research
Huang Junjie, Xu Fu, Long Shiguo, Peng Yizhou. Visual Management for Detection Information of PC Component and Its Application in Detection of Sleeve Grouting Plumpness[J]. Journal of Information Technologyin Civil Engineering and Architecture, 2018, 10(3): 86-90. DOI: 10.16670/j.cnki.cn11-5823/tu.2018.03.16
Citation: Huang Junjie, Xu Fu, Long Shiguo, Peng Yizhou. Visual Management for Detection Information of PC Component and Its Application in Detection of Sleeve Grouting Plumpness[J]. Journal of Information Technologyin Civil Engineering and Architecture, 2018, 10(3): 86-90. DOI: 10.16670/j.cnki.cn11-5823/tu.2018.03.16

Visual Management for Detection Information of PC Component and Its Application in Detection of Sleeve Grouting Plumpness

  • During production and construction of pre-cast (PC) building components, normally a large number of different types of detection information are to be managed. Therefore, how to store, manage and share test data efficiently is a problem must be faced by the engineers. According to the classification and collection time of each measurement point, this paper establishes a corresponding database system based on the Revit development platform, to store the collected data in real time. The integration of detection information and the development of related functions are realized by using combined Revit and classes encapsulated by Revit API. Taking the information management of PC component sleeve grouting plumpness inspection as an example, functions of data interaction, point location and detection curve are developed to realize the timely sharing of the detection information of PC components, thus improving the interactivity between the detection information and the BIM model. Feasibility and effectiveness of the proposed method in this paper is preliminarily verified by the visual management of PC component detection information.
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