research-article

Investigation of Intelligent Safety Management Information System for Nuclear Power Construction Projects

Authors:

Laihua Fang,

Bingyun Mei,

Liu Jiang,

Jing SunAuthors Info & Claims

ICITEE '20: Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering

Pages 607 - 611

https://doi.org/10.1145/3452940.3453058

Published: 17 May 2021 Publication History

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Abstract

Aiming at the dangerous characteristics of nuclear power construction projects such as complicated environment, large number of facilities, hazardous sources and operators in the construction area, an overall architecture of safety management information system based on IoT, AI and other information technologies is proposed, the intelligent safety system functions such as management of potential hazards inspection and rectification, safety monitoring and risk hierarchical control are investigated in details, which are designed to effectively manage and control safety risk. Application of the system helps to realize the digitization, networking, automation control and intelligent decision support of safety management in process operations, personnel, equipment, hazardous materials and environment factors, which achieves the goal of promoting safety management efficiency and reducing accident risk.

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Cited By

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Jaimes-Quintanilla MZabala-Vargas S(2024)Inteligencia artificial en la gestión de proyectos: caso construcción y obra civilArtificial intelligence in project management: case of construction and civil worksEuropean Public & Social Innovation Review10.31637/epsir-2024-16159(1-21)Online publication date: 16-Oct-2024
https://doi.org/10.31637/epsir-2024-1615
Zabala-Vargas SJaimes-Quintanilla MJimenez-Barrera M(2023)Big Data, Data Science, and Artificial Intelligence for Project Management in the Architecture, Engineering, and Construction Industry: A Systematic ReviewBuildings10.3390/buildings1312294413:12(2944)Online publication date: 25-Nov-2023
https://doi.org/10.3390/buildings13122944
Fang LShi XSong SWang X(2022)Study on IIoT-based Safety Platform of Industrial Enterprises2022 Prognostics and Health Management Conference (PHM-2022 London)10.1109/PHM2022-London52454.2022.00079(415-419)Online publication date: May-2022
https://doi.org/10.1109/PHM2022-London52454.2022.00079

Index Terms

Investigation of Intelligent Safety Management Information System for Nuclear Power Construction Projects
1. Applied computing
2. Information systems
  1. Information systems applications

Index terms have been assigned to the content through auto-classification.

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ICITEE '20: Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering

December 2020

687 pages

ISBN:9781450388665

DOI:10.1145/3452940

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 17 May 2021

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ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering

December 3 - 5, 2020

Hunan, Changde City, China

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Jaimes-Quintanilla MZabala-Vargas S(2024)Inteligencia artificial en la gestión de proyectos: caso construcción y obra civilArtificial intelligence in project management: case of construction and civil worksEuropean Public & Social Innovation Review10.31637/epsir-2024-16159(1-21)Online publication date: 16-Oct-2024
https://doi.org/10.31637/epsir-2024-1615
Zabala-Vargas SJaimes-Quintanilla MJimenez-Barrera M(2023)Big Data, Data Science, and Artificial Intelligence for Project Management in the Architecture, Engineering, and Construction Industry: A Systematic ReviewBuildings10.3390/buildings1312294413:12(2944)Online publication date: 25-Nov-2023
https://doi.org/10.3390/buildings13122944
Fang LShi XSong SWang X(2022)Study on IIoT-based Safety Platform of Industrial Enterprises2022 Prognostics and Health Management Conference (PHM-2022 London)10.1109/PHM2022-London52454.2022.00079(415-419)Online publication date: May-2022
https://doi.org/10.1109/PHM2022-London52454.2022.00079

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Develop an Intelligent System of Construction Safety Management using BIM and Multi-Sensor

Intelligent mining of safety hazard information from construction documents using semantic similarity and information entropy

Development of dam safety management system

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