Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 19 results ...
Adams, J (2019) Dynamic criticality analysis of industrial assets and system, Unpublished PhD Thesis, Institute of Manufacturing, University of Cambridge.
Al Asali, M W (2020) Craft-inclusive construction: design strategies for thin-tile vaulting, Unpublished PhD Thesis, , University of Cambridge.
Anagnostopoulos, I (2018) Generating as-is BIMs of existing buildings: from planar segments to spaces, Unpublished PhD Thesis, Department of Engineering, University of Cambridge.
Ariyachandra, M F (2021) Automating the generation of geometric information models to support digital twinning of existing rail infrastructure, Unpublished PhD Thesis, , University of Cambridge.
Bartlett, H V (2006) Understanding the implementation of sustainability principles in UK educational building projects, Unpublished PhD Thesis, Centre for Sustainable Development, University of Cambridge.
Baumgärtner, C E (2000) Collaboration between engineering consultants and their clients: characteristics of success, Unpublished PhD Thesis, , University of Cambridge.
Busic-Sontic, A (2019) Energy efficiency investments in residential buildings: does personality matter?, Unpublished PhD Thesis, , University of Cambridge.
Jimoh, I (2021) What explains the efficiency of major public project delivery in Nigeria?, Unpublished PhD Thesis, , University of Cambridge.
Jin, Y (2018) Supervised learning for back analysis of excavations in the observational method, Unpublished PhD Thesis, , University of Cambridge.
Konstantinou, E (2018) Vision-based construction worker task productivity monitoring, Unpublished PhD Thesis, Department of Engineering, University of Cambridge.
- Type: Thesis
- Keywords: accuracy; construction worker; labour productivity; manufacturing; productivity
- ISBN/ISSN:
- URL: https://doi.org/10.17863/CAM.20613
- Abstract:
Over the past decades, the construction industry lags further and further behind the manufacturing sector when productivity is considered. This is due to internal factors that take place on-site. Almost all of them are directly related to the way that productivity is monitored. Current practices for monitoring labour productivity are labour intensive, time - cost consuming and error prone. They are mainly reactive processes initiated after the detection of a negatively influencing factor. Although research studies have been performed towards leveraging these limitations, a gap still exists in monitoring labour productivity of multiple workers at the same time accurately, unobtrusively, cost and time efficiently. This thesis proposes a framework to address this gap. It hypothesizes that task productivity of construction workers can be monitored through their trajectory data. The proposed framework uses as input, video data streamed from cameras with overlapping field of view. It consists of two main methods. The output of the first is the input of the second. The first method tracks the location of workers across the range of a jobsite over time and returns their 4D trajectories. Such type of tracking requires that workers are matched under a unique ID not only across successive frames of a single camera (intra tracking) but also across multiple cameras (inter tracking). Existing tag-less studies fail to track construction workers due to the challenging nature of their working environments. Therefore, two novel computer vision-based algorithms are developed to perform both the intra and the inter camera tracking. The second method of the proposed framework converts the 4D trajectories of workers into productivity information. These trajectories are clustered into work cycles with an accuracy of 95%, recall of 76% and precision of 76%. Such work cycles depict the actual execution of tasks. The overall proposed framework features an average accuracy of 95% in terms of determining the total time workers spend on construction-related tasks.
Lloyd, C A (2020) Modular manufacture and construction of small nuclear power generation systems, Unpublished PhD Thesis, , University of Cambridge.
Mándoki, R (2022) The social sustainability of standardisation in the Hungarian residential building sector, Unpublished PhD Thesis, , University of Cambridge.
Montali, J (2019) Digitised engineering knowledge for prefabricated fac?ades, Unpublished PhD Thesis, Department of Engineering, University of Cambridge.
O'Brien, S (2022) Critical infrastructure organisation management: an analysis of the transition to the Industry 4.0 era, Unpublished PhD Thesis, , University of Cambridge.
Pelenur, M (2014) Retrofitting the domestic built environment: Investigating household perspectives towards energy efficiency technologies and behaviour, Unpublished PhD Thesis, , University of Cambridge.
Robertson, B (2020) On-site installation flexibility for disruption management in modular off-site construction systems, Unpublished PhD Thesis, , University of Cambridge.
TomasÌŒevicÌ, V (2004) Developing productive relationships in the construction industry, Unpublished PhD Thesis, Department of Engineering, University of Cambridge.
Vick, S (2018) Automated spatial progress monitoring for asphalt road construction projects, Unpublished PhD Thesis, Department of Engineering, University of Cambridge.
Zomer, T (2021) Institutional pressures and decoupling in projects: the case of BIM Level 2 and coercive isomorphism in the UK's construction sector, Unpublished PhD Thesis, , University of Cambridge.