Smart personal protective equipment for intelligent construction safety monitoring

被引:8
作者
Rashidi, Ali [1 ,2 ]
Woon, George Lukic
Dasandara, Miyami [3 ]
Bazghaleh, Mohsen
Pasbakhsh, Pooria
机构
[1] La Trobe Univ, Dept Engn, Melbourne, Australia
[2] Monash Univ Malaysia, Dept Civil Engn, Selangor, Malaysia
[3] Monash Univ, Future Bldg Initiat, Melbourne, Australia
关键词
Construction safety; Personal protective equipment (PPE); Real-time data; Cloud computing; Safety monitoring; Digitalisation; TIME LOCATING SYSTEMS; MANAGEMENT; INJURIES; INDUSTRY; WORKERS; HEALTH; TECHNOLOGY; FRAMEWORK; SITES;
D O I
10.1108/SASBE-10-2022-0224
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Purpose The construction industry remains one of the most hazardous industries worldwide, with a higher number of fatalities and injuries each year. The safety and well-being of workers at a job site are paramount as they face both immediate and long-term risks such as falls and musculoskeletal disorders. To mitigate these dangers, sensor-based technologies have emerged as a crucial tool to promote the safety and well-being of workers on site. The implementation of real-time sensor data-driven monitoring tools can greatly benefit the construction industry by enabling the early identification and prevention of potential construction accidents. This study aims to explore the innovative method of prototype development regarding a safety monitoring system in the form of smart personal protective equipment (PPE) by taking advantage of the recent advances in wearable technology and cloud computing.Design/methodology/approach The proposed smart construction safety system has been meticulously crafted to seamlessly integrate with conventional safety gear, such as gloves and vests, to continuously monitor construction sites for potential hazards. This state-of-the-art system is primarily geared towards mitigating musculoskeletal disorders and preventing workers from inadvertently entering high-risk zones where falls or exposure to extreme temperatures could occur. The wearables were introduced through the proposed system in a non-intrusive manner where the safety vest and gloves were chosen as the base for the PPE as almost every construction worker would be required to wear them on site. Sensors were integrated into the PPE, and a smartphone application which is called SOTER was developed to view and interact with collected data. This study discusses the method and process of smart PPE system design and development process in software and hardware aspects.Findings This research study posits a smart system for PPE that utilises real-time sensor data collection to improve worksite safety and promote worker well-being. The study outlines the development process of a prototype that records crucial real-time data such as worker location, altitude, temperature and hand pressure while handling various construction objects. The collected data are automatically uploaded to a cloud service, allowing supervisors to monitor it through a user-friendly smartphone application. The worker tracking ability with the smart PPE can help to alleviate the identified issues by functioning as an active warning system to the construction safety management team. It is steadily evident that the proposed smart PPE system can be utilised by the respective industry practitioners to ensure the workers' safety and well-being at construction sites through monitoring of the workers with real-time sensor data.Originality/valueThe proposed smart PPE system assists in reducing the safety risks posed by hazardous environments as well as preventing a certain degree of musculoskeletal problems for workers. Ultimately, the current study unveils that the construction industry can utilise cloud computing services in conjunction with smart PPE to take advantage of the recent advances in novel technological avenues and bring construction safety management to a new level. The study significantly contributes to the prevailing knowledge of construction safety management in terms of applying sensor-based technologies in upskilling construction workers' safety in terms of real-time safety monitoring and safety knowledge sharing.
引用
收藏
页码:835 / 858
页数:24
相关论文
共 50 条
[41]   Best practices in veterinary personal protective equipment [J].
Christmann, U. .
REVUE SCIENTIFIQUE ET TECHNIQUE-OFFICE INTERNATIONAL DES EPIZOOTIES, 2020, 39 (02) :561-577
[42]   Employer, use of personal protective equipment, and work safety climate: Latino poultry processing workers [J].
Arcury, Thomas A. ;
Grzywacz, Joseph G. ;
Anderson, Andrea M. ;
Mora, Dana C. ;
Carrillo, Lourdes ;
Chen, Haiying ;
Quandt, Sara A. .
AMERICAN JOURNAL OF INDUSTRIAL MEDICINE, 2013, 56 (02) :180-188
[43]   Smart personal protective equipment (PPE): current PPE needs, opportunities for nanotechnology and e-textiles [J].
Basodan, Rayan A. M. ;
Park, Byoungyoul ;
Chung, Hyun-Joong .
FLEXIBLE AND PRINTED ELECTRONICS, 2021, 6 (04)
[44]   Monitoring Mental Fatigue of Construction Equipment Operators: A Smart Cushion-Based Method with Deep Learning Algorithms [J].
Wang, Lei ;
Li, Heng ;
Wu, Haitao ;
Yao, Yizhi ;
Yu, Changyuan ;
Umer, Waleed ;
Han, Dongliang ;
Ma, Jie .
JOURNAL OF MANAGEMENT IN ENGINEERING, 2024, 40 (05)
[45]   Building Construction Artisans' Level of Access to Personal Protective Equipment (PPE) and the Perceived Barriers and Motivating Factors of Adherence to Its Use [J].
Boakye, Maxwell Kwame ;
Adanu, Selase Kofi ;
Coffie, George Harrison ;
Adzivor, Eric Kwadzo ;
Ayimah, John Coker .
JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH, 2022, 2022
[46]   IoT sensor-based BIM system for smart safety barriers of hazardous energy in petrochemical construction [J].
Ding, Lieyun ;
Jiang, Weiguang ;
Zhou, Cheng .
FRONTIERS OF ENGINEERING MANAGEMENT, 2022, 9 (01) :1-15
[47]   Predicting movements of onsite workers and mobile equipment for enhancing construction site safety [J].
Zhu, Zhenhua ;
Park, Man-Woo ;
Koch, Christian ;
Soltani, Mohamad ;
Hammad, Amin ;
Davari, Khashayar .
AUTOMATION IN CONSTRUCTION, 2016, 68 :95-101
[48]   Personal Protective Equipment Detection for Construction Workers: A Novel Dataset and Enhanced YOLOv5 Approach [J].
Liu, Yipeng ;
Wang, Junwu .
IEEE ACCESS, 2024, 12 :47338-47358
[49]   Intelligent color-changing hygrothermal-controlled film for enhanced thermal comfort of personal protective equipment [J].
Guo, Wanru ;
Li, Zheng ;
Zhang, Wei ;
Gong, Jixian ;
Li, Qiujin ;
Liu, Xiuming ;
Qiao, Changsheng ;
Zhang, Jianfei ;
Zhang, Songnan .
CHEMICAL ENGINEERING JOURNAL, 2024, 494
[50]   IoT-based application for construction site safety monitoring [J].
Chung, William Wong Shiu ;
Tariq, Salman ;
Mohandes, Saeed Reza ;
Zayed, Tarek .
INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT, 2023, 23 (01) :58-74