Codifying information flow in ‘construction as a manufacturing process’ in BIM-enabled projects to support future automation.
Ranjith K Soman - PhD candidate 2017 - present
Project Title: Automated look-ahead schedule generation using linked-data based constraint checking for construction projects
Summary of Project:
This PhD study was cosponsored by Bentley Systems UK and a through a Skempton Scholarship from the Department of Civil and Environmental Engineering, Imperial College London., This project started on March 2017 and is due to finish by end of July 2020.
This PhD study focuses on developing a data-driven approach to support look-ahead planning through the development of an information modelling approach to codify and validate detailed construction process information. The proposed approach comprises information modelling, constraint checking and automated Look-Ahead Schedule (LAS) generation. Constraint checking validates the up-to-date construction information against a set of modelled constraints. This process identifies the activities that are scheduled, however, cannot be executed due to violation of modelled constraints. LAS generation method produces a list of activities that are ready to be executed for a time period. By developing this method, the PhD study contributes to the research on the use of ICT technologies to support Lean construction. This is an important contribution to practice as this approach will introduce data-driven decision-support for look-ahead planning, thus contributing to improving productivity in construction.
The aim of this research is to develop an information modelling approach to codify and validate detailed construction process information in BIM-enabled projects, in order to support data-driven decision-making for look-ahead planning in construction
Early stage assessment: 23 November 2017
Late stage review: 15 March 2019
Research outcomes achieved and/or expected:
The partial codification of information in machine-readable formats is based on a range of challenges in late design and construction phases of BIM-enabled projects, related to software and information sharing, with a particular lack of process information.
The issue of data siloes in construction information can be addressed by leveraging the power of linked-data to traverse across the web of data created by linking across the heterogeneous construction information datasets.
Linked data based constraint checking method using SHACL can be effectively used to model and validate construction scheduling constraints distributed over multiple datasets, thus supporting look-ahead planning.
Construction information codified using linked data based constraint checking method can be reused to generate LAS by incorporating linked data based constraint checking within the machine learning framework.
Evidence of impact:
- Soman, R.K., & Whyte, J.K. (2020), Codification challenges for data science in construction, ASCE Journal of construction engineering and management, 146 (7), 04020072.
- Soman, R.K. (2019), Linked-data based dynamic constraint solving framework to support look-ahead-planning in construction, 36th International Council for Research and Innovation in Building and Construction W78 Conference on ICT in Design, Construction and Management in Architecture, Engineering, Construction and Operations (AECO), Newcastle, United Kingdom.
- Soman, R.K. (2019). Modelling construction scheduling constraints using Shapes Constraint Language (SHACL), European Conference on Computing in Construction (EC³ 2019). Crete, Greece.
- Senthilvel, M., Soman, R.K., Mahalingam, A., Whyte, J.K., Raphael, B., Brilakis, I., & Varghese, K. (2018). Towards digital delivery of metro-rail projects in India. 7th World Construction Symposium 2018: Built Asset Sustainability: Rethinking Design, Construction and Operations. Colombo, Sri Lanka.
- Soman, R.K., Birch, D., & Whyte, J.K. (2017). Framework for shared visualization and real-time information flow to the construction site. 24th European Group for Intelligent Computing in Engineering (EG-ICE) International Workshop on Intelligent Computing in Engineering. Nottingham, UK.
- Soman, R.K., & Whyte, J.K. (2017). A framework for cloud-based virtual and augmented reality using real-time information for construction progress monitoring. Lean & Computing in Construction Congress (LC3). Heraklion, Greece.
Additional benefits to researchers, students, or collaborators:
The current study is the first step toward a linked-data-based constraint-checking environment. To exploit the full potential of this method, further research should be done to extend the linked-data-based constraint-checking environment method. Researchers working on linked-data in the architecture and construction domain can extend this method to investigate the applicability of this method to detect violations related to workspace constraints, construction safety constraints, and construction-site layout constraints by exploiting the geometric data in the domain models.
For more information, contact Ranjith K. Soman, Email: firstname.lastname@example.org, Tel: +447721826099