Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Detecting falls-from-height with wearable sensors and reducing the consequences of occupational fall accidents leveraging Internet-of-Things
Date
2019
Author
Dogan, Onur
Metadata
Show full item record
Item Usage Stats
354
views
0
downloads
Cite This
Hazardous and labor-intensive nature of the construction industry has a prominent impact on increasing the number of occupational accidents and fatalities in construction. Falls-from-height (FFH) is one of the most important sources of these fatalities. Despite many valuable prevention strategies and efforts implemented against occupational fall accidents on construction sites, the fatality rate records do not indicate a significant decrease. In medical literature, the time passed after the accident is critical to avoid preventable deaths and permanent disabilities of trauma patients. By combining these, a novel approach is exhibited to timely detect FFH accidents on construction sites using a wearable device to provide emergency medical team (EMT) with real-time notification including the height of fall and the time of fall information by leveraging Internet-of-Things (IoT). It is aimed to maintain the earliest possible medical intervention to the victim on site to help reducing severe and fatal consequences of FFH accidents for construction workers. A wearable system that can be used by construction workers on site has been developed and tested against FFH on construction sites using dummies. The experiments have shown promising results with 100% successful detection of FFH accidents by having an overall error rate of 5,8% in the calculation of the accident fall height. In order to detect FFH time correctly, an additional metric that shows the detection of the disconnected network time of the system has been investigated and the results are accurate with an overall error rate of 3.16%. Additional tests have also been conducted for the validation of the system against false positives on construction sites and none of the experiments produced false alarms during tests.
Subject Keywords
Industrial safety.
,
Industrial hygiene.
,
Internet of things.
,
Wearable technology.
,
Accidents
,
Construction industry
URI
http://etd.lib.metu.edu.tr/upload/12623123/index.pdf
https://hdl.handle.net/11511/28050
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Detecting falls-from-height with wearable sensors and reducing consequences of occupational fall accidents leveraging IoT
DOGAN, ONUR; Akçamete Güngör, Aslı (2018-10-04)
Labor intensive and hazardous nature of the construction activities plays an important role on the increase of the amount of accidents and fatalities on sites. One of the most important sources of fatalities occurring on construction sites is falls-from-height (FFH). Despite the various efforts for the solution over decades, the yearly statistics still indicate high amount of fatalities and severe injuries due to FFH accidents on construction sites. Medical literature emphasize that the time passed after th...
Development of an IT-based tool for portfolio assessment and management for construction companies
Bilgin, Gözde; Dikmen Toker, İrem; Özorhon Orakçal, Beliz; Department of Civil Engineering (2019)
Development in the construction industry has leaded most of the construction companies to undertake more complex projects than before, which are generally executed concurrently. Therefore, project management routines of the companies may not support effective management of multi-projects. Project portfolio management approach has been suggested to meet requirements for coordinating multi-projects to meet strategic objectives under limited resources. Since project portfolio management requires a comprehensiv...
Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks
Ayhan, Bilal Umut; Tokdemir, Onur Behzat (American Society of Civil Engineers (ASCE), 2020-03-01)
Despite many improvements in safety management, the construction industry still has the highest potential for occupational injuries including High Severe (HS) work events, which result in injuries or fatalities, and Low Severe (LS) work events, which cause near misses or nonserious injuries. The analysis of incidents is highly dependent on the quality of records. Problems in recording and the heterogeneity of incident data may create conflicts while analyzing the relationship between attributes. The objecti...
Lean design management – an evaluation of waste items for architectural design process
Mazlum, Salih Kaan; Pekeriçli, Mehmet Koray; Department of Building Science in Architecture (2015)
Waste is standing as a major problem in the body of construction industry. Lean thinking in construction accepts any inefficiency as waste which results with more usage of equipment, materials, labor, time or capital in larger quantities than those considered as necessary. Although inefficiency of design stages has been identified as a major factor that reduces the efficiency of construction projects, less attention has been paid on the relationship between lean thinking and architectural design process. Th...
A system approach to occupational health and safety management
Gözüyılmaz, Cem; Esin, Alp; Department of Mechanical Engineering (2003)
In this thesis, methods used at present in occupational health and safety management are analyzed and a model safety management system is developed. History, development and recent occupational safety regulations in the United States of America and European Union are introduced to give a sight on this subject in developed countries. The suggested model is evaluated with work accident data taken from a company and hazard and risk analysis methods are used to investigate these accidents. Preventive measures t...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
O. Dogan, “Detecting falls-from-height with wearable sensors and reducing the consequences of occupational fall accidents leveraging Internet-of-Things,” M.S. - Master of Science, Middle East Technical University, 2019.