Deakin University
Browse

File(s) under permanent embargo

Project controls for electrical, instrumentation and control systems: Enabling role of digital system information modelling

journal contribution
posted on 2019-07-01, 00:00 authored by P E D Love, J Zhou, Jane MatthewsJane Matthews
Accurate assessment of a project's progress enables managers to control and manage costs and schedule. Automating the processes to monitor and inspect the progress of works in construction, and ensure that the data acquired and retrieved are able to produce an accurate ‘as-built’ model is an issue that has received ubiquitous attention in the literature. Emphasis has been placed on utilizing technologies such as mobile augmented reality, laser scanners, and computer visions to monitor and control physical objects that possess geometrical properties. Connected systems such as Electrical, Instrumentation and Control Systems (EICS), however, do not possess geometrical properties and as a result have been overlooked, receiving limited attention. This paper utilizes a digital System Information Model (SIM) to enable a project control system based on human-machine interactions, to be developed, in order to monitor progress during the construction of connected systems. By incorporating the design, schedules, activities, and tasks into a digital, cloud-based model, the system enables different parties involved in a project to synchronously work together. Information can be recorded, distributed and shared in real-time therefore significantly improving decision-making, the approvals process, and management of information. A SIM is discipline-specific and there is a need to ensure its interoperability with building information modeling software. Therefore, a bi-directional link between the SIM and the project's overall schedule and three-dimensional model needs to be developed in the future.

History

Journal

Automation in Construction

Volume

103

Pagination

202 - 212

Publisher

Elsevier

Location

Amsterdam, The Netherlands

ISSN

0926-5805

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2019, Elsevier

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC