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Knowledge-driven Safety Analysis: An Approach to Enhance Occupational Health and Safety in Construction
The construction industry suffers from a high amount of accidents and fatalities compared to other industries. The reasons for the horrifying statistics are that the industry is highly dynamic and dangerous. The dynamic nature arises as construction is essentially production in a constantly changing and evolving environment, and the dangers arise from the unfinished building, heavy objects, and dangerous machinery. The current practices of ensuring safe work environments for construction workers are predominantly manual and labor-intensive. Safety planning is challenging and cumbersome to do digitally in 3D and even more in 4D. This is why it is often performed in a paper-based approach on the 2D plan view, which is harder to distribute among all affected parties and stakeholders. Thus, sharing the safety plan requires toolbox meetings, which are rarely assisted by digital tools and demand a lot of manual preparation. Safety inspection is currently performed in weekly or bi-weekly walk-throughs where regulation compliance issues are identified and resolved. The manual safety efforts can not provide a temporal and spatial resolution corresponding to the construction site’s evolvement, leaving the safety planning, mitigation, and inspection a step behind the construction progress. The manual approach also does not resonate well with the future vision of a Digital Twin-driven construction industry. This Thesis aims to propose solutions that could assist the safety-responsible person by automating some monotonous design, planning, and inspection tasks to increase the spatiotemporal resolution and enhance occupational health and safety for construction workers while freeing time for critical matters requiring experts’ attention. The solutions have been proposed with transparency and relevance for practitioners in mind, which should facilitate their acceptance and adoption of the proposed automated strategies. Besides automatization, this thesis also improves construction safety insight, exploitation, and cross-domain ...
Knowledge-driven Safety Analysis: An Approach to Enhance Occupational Health and Safety in Construction
The construction industry suffers from a high amount of accidents and fatalities compared to other industries. The reasons for the horrifying statistics are that the industry is highly dynamic and dangerous. The dynamic nature arises as construction is essentially production in a constantly changing and evolving environment, and the dangers arise from the unfinished building, heavy objects, and dangerous machinery. The current practices of ensuring safe work environments for construction workers are predominantly manual and labor-intensive. Safety planning is challenging and cumbersome to do digitally in 3D and even more in 4D. This is why it is often performed in a paper-based approach on the 2D plan view, which is harder to distribute among all affected parties and stakeholders. Thus, sharing the safety plan requires toolbox meetings, which are rarely assisted by digital tools and demand a lot of manual preparation. Safety inspection is currently performed in weekly or bi-weekly walk-throughs where regulation compliance issues are identified and resolved. The manual safety efforts can not provide a temporal and spatial resolution corresponding to the construction site’s evolvement, leaving the safety planning, mitigation, and inspection a step behind the construction progress. The manual approach also does not resonate well with the future vision of a Digital Twin-driven construction industry. This Thesis aims to propose solutions that could assist the safety-responsible person by automating some monotonous design, planning, and inspection tasks to increase the spatiotemporal resolution and enhance occupational health and safety for construction workers while freeing time for critical matters requiring experts’ attention. The solutions have been proposed with transparency and relevance for practitioners in mind, which should facilitate their acceptance and adoption of the proposed automated strategies. Besides automatization, this thesis also improves construction safety insight, exploitation, and cross-domain ...
Knowledge-driven Safety Analysis: An Approach to Enhance Occupational Health and Safety in Construction
Johansen, Karsten Winther (author)
2024-01-01
Johansen , K W 2024 , Knowledge-driven Safety Analysis : An Approach to Enhance Occupational Health and Safety in Construction . DCAMM Special Report , no. S366 , Technical University of Denmark , Kgs. Lyngby . https://doi.org/10.11581/DTU.00000315
Book
Electronic Resource
English
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