In:
Remote Sensing, MDPI AG, Vol. 14, No. 6 ( 2022-03-13), p. 1387-
Abstract:
Building operation and maintenance (O & M) processes are tedious. Controlling such tedious processes requires extensive visualization and trustworthy decision-making strategies. Unfortunately, challenges still exist as existing technologies and practices can hardly achieve effective control of building O & M processes. This study has established a method for achieving intelligent control of building O & M processes by integrating Global Navigation Satellite System (GNSS) with Digital Twins (DTs) techniques. Specifically, GNSS could be used to capture real-time building information during building O & M processes. Such captured real-time information realizes the intelligent closed-loop control of building O & M driven by DTs. In this study, the authors have (1) captured the dynamic information required for achieving intelligent control of building O & M processes, (2) established a DT model of building O & M processes, (3) established a data management mechanism of intelligent building O & M processes, and (4) formalized an intelligent building O & M decision control platform. Finally, the authors have validated the proposed method using the 2022 Beijing Winter Olympics venue as a case study. The three-dimensional coordinates of various building information are captured based on GNSS automatic monitoring system. This realizes the precise positioning of O & M elements and feedbacks to the twin model of the venue. Through the intelligent analysis and prediction of O & M information, the characteristics of various O & M accidents are obtained. Finally, under the navigation function of GNSS, the processing measures are accurately formulated. Results indicate that the proposed GNSS–DTs-based method could help to achieve intelligent control of large building O & M processes.
Type of Medium:
Online Resource
ISSN:
2072-4292
Language:
English
Publisher:
MDPI AG
Publication Date:
2022
detail.hit.zdb_id:
2513863-7
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