Information modeling technologies to ensure industrial safety and reduce the level of injuries in construction

Author:

Shilkina Svetlana1

Affiliation:

1. Moscow State University of Civil Engineering

Abstract

Abstract. The construction industry has one of the highest levels of occupational injuries. Despite the fact that most of the incidents occur due to systematic violations of occupational health and safety, many of them could have been prevented by assessing the risks of such traumatic situations at the design stage. Given the multifactorial nature of the building construction process, it is impossible to solve the problem without the use of information modeling technologies — to fundamentally reduce the risk of industrial injuries in the construction industry at the design stage. Currently, BIM technologies have become the most widespread. However, the proposed software solutions do not always include blocks for assessing the consequences of work from the point of view of safety, taking into account occupational injuries when making certain design decisions. This article discusses the issues of occupational safety at construction sites, conducted a statistical analysis of occupational injuries in the construction industry and developed recommendations for the use of modern information modeling technologies to increase the level of personnel protection and assess the risks of traumatic situations at the stages of construction of buildings.

Publisher

RIOR Publishing Center

Subject

Industrial and Manufacturing Engineering,Polymers and Plastics,Business and International Management

Reference22 articles.

1. Ying Lu, Peizhen Gong, Yuchun Tang, Shuqi Sun, Qiming Li, BIM-integrated construction safety risk assessment at the design stage of building projects, Automation in Construction, Volume 124, 2021, 103553, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2021.103553., Ying Lu, Peizhen Gong, Yuchun Tang, Shuqi Sun, Qiming Li, BIM-integrated construction safety risk assessment at the design stage of building projects, Automation in Construction, Volume 124, 2021, 103553, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2021.103553.

2. Feng Fu, Chapter Six — Design and Analysis of Complex Structures, Editor(s): Feng Fu, Design and Analysis of Tall and Complex Structures, Butterworth-Heinemann, 2018, Pp. 177-211, ISBN 9780081010181, https://doi.org/10.1016/B978-0-08-101018-1.00006-X., Feng Fu, Chapter Six — Design and Analysis of Complex Structures, Editor(s): Feng Fu, Design and Analysis of Tall and Complex Structures, Butterworth-Heinemann, 2018, Pp. 177-211, ISBN 9780081010181, https://doi.org/10.1016/B978-0-08-101018-1.00006-X.

3. BIM-моделирование как элемент современного строительства

4. Security and Communication Networks, "Retracted: Construction and Evaluation of Construction Safety Management System Based on BIM and Internet of Things", Security and Communication Networks, vol. 2022, Article ID 9757049, 1 pages, 2022. Volume 2022 | Article ID 9757049 | https://doi.org/10.1155/2022/9757049, Security and Communication Networks, "Retracted: Construction and Evaluation of Construction Safety Management System Based on BIM and Internet of Things", Security and Communication Networks, vol. 2022, Article ID 9757049, 1 pages, 2022. Volume 2022 | Article ID 9757049 | https://doi.org/10.1155/2022/9757049

5. Marco Casini, Chapter 3 — Building digital revolution, Editor(s): Marco Casini, In Woodhead Publishing Series in Civil and Structural Engineering, Construction 4.0, Woodhead Publishing, 2022, Pp. 151-186, ISBN 9780128217979, https://doi.org/10.1016/B978-0-12-821797-9.00013-1., Marco Casini, Chapter 3 — Building digital revolution, Editor(s): Marco Casini, In Woodhead Publishing Series in Civil and Structural Engineering, Construction 4.0, Woodhead Publishing, 2022, Pp. 151-186, ISBN 9780128217979, https://doi.org/10.1016/B978-0-12-821797-9.00013-1.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3