Research on Safety Management of Construction Engineering Personnel under “Big Data + Artificial Intelligence”

Yi, Xizhe; Wu, Jiaye

doi:10.4236/ojbm.2020.83067

Cited by 19 publications

(8 citation statements)

References 9 publications

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“…Therefore, it is very important to strengthen personnel safety management and labor monitoring. To this end, we can use the large data systems architecture based on artificial intelligence for engineering personnel safety management, enriching and improving construction safety of personnel management concepts and technical means [76].…”

Section: Informatization Of Personnel Material and Machine Managementmentioning

confidence: 99%

The Assessment of the Maturity of Informatization in Assembly-Building Projects Utilizing the CMM-CME Methodology, Taking a Project in China as an Illustration

Chen,

Meng,

Zhang

et al. 2024

Buildings

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Owing to its rapid advancement, information technology has emerged as a critical tool in assembly construction for addressing market demands, improving project quality, and reducing costs. However, the absence of unified informatization standards within the assembly construction industry has led to the adoption of different technologies and systems by various businesses during the development of informatization systems; this has generated issues such as unbalanced development and mutual incompatibility. While researchers have examined these issues, a comprehensive assessment of the maturity of informatization in assembly-building projects is lacking. Assessment of the maturity of informatization can provide evaluation standards and methods for the development of informatization of assembly buildings, explore the important and difficult points of applying informatization technology to assembly buildings, and put forward corresponding countermeasures and suggestions to promote the benign development of informatization of assembly buildings. Therefore, this study strives to develop a model for assessing the maturity of informatization of assembly-building projects. This study begins by determining the level of the maturity level of informatization, key process areas, and key practices for assembly-building projects using the capability maturity model (CMM). On this basis, the maturity evaluation index system was constructed through expert interviews and questionnaires. Furthermore, in order to assign weights to the indicators comprehensively, the ordinal relationship method and entropy weight method were implemented. The evaluation criteria were determined by consulting the relevant literature and expert opinions. Followingly, an evaluation model was established based on the cloud matter element (CME) theory. Finally, a case study demonstrates that the methodology can be utilized to quantify the maturity of project informatization. In conclusion, this study unearths a system for assessing the level of maturity of informatization of assembly-building projects, which provides a valuable reference for promoting the continuous development of the maturity of informatization in assembly-building projects.

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Section: Informatization Of Personnel Material and Machine Managementmentioning

confidence: 99%

The Assessment of the Maturity of Informatization in Assembly-Building Projects Utilizing the CMM-CME Methodology, Taking a Project in China as an Illustration

Chen,

Meng,

Zhang

et al. 2024

Buildings

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“…Therefore, the connection with the building sector will further accelerate the intelligence growth of engineering management. The rising usage of artificial intelligence (AI) in construction engineering and management in recent years is mostly attributable to the technology's promise for enhancing construction performance and efficiency [5]. [6] connected AI to the transformation of the construction sector.…”

Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

How Artificial Intelligence Changed the Construction Industry in Safety Issues

Razi

Sulaiman

Ali

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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In recent years, the development of machine learning in construction as well as the preparation of appropriate software aims to provide improved solutions to potential safety hazards and risks within the construction environment. However, the fatalities and injuries in construction sites still happened frequently, and the high numbers of accidents and casualties make construction work the most hazardous occupation. This study aims to analyze the prioritize of artificial intelligence (AI) important factors in construction safety using the AHP method. Construction safety practitioners were selected as the respondent. The hierarchy was established consisting of five (5) factors, which were subsequently categorized into twelve (12) sub-factors. With 25.43 percent, jobsite was determined to be the most significant AI element in construction safety, followed by technology component with 25.37% and human error with 22.76%. The subfactors that prioritize are noticed to safety officers when workers disregard safety on the construction site with 69.21%, cloud computing technique, inspecting, controlling, and training with 60.04%, and AI in construction safety can predict the possible issues with 14.29%. The findings of this study can help software developers in determining the level of priority for the use of AI in the safety aspect of construction sites.

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“…For example, Ma et al [32] used machine learning to synthesize construction safety risk factors. Yi and Wu [33] reviewed the application of combined artificial intelligence and big data for safety management in construction projects. Dasandara and Dissanayake [34] used the questionnaire to study the use of personal protective equipment by construction workers for restrictive reasons.…”

Section: Evolutionary Game Theorymentioning

confidence: 99%

Analysis of Behavioral Strategies of Construction Safety Subjects Based on the Evolutionary Game Theory

Sun

et al. 2022

Buildings

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In construction safety management practices, identifying key stakeholders and specifying their safety behavior patterns are critical to avoid unsafe practices, which are the major cause of construction accidents. This paper argues that the main contractor and construction workers are key safety stakeholders in the construction safety management in China. The purpose of this paper is to develop an evolutionary game model to explore the safety behavior strategies of the main contractor and construction workers. In this framework, we explored the effects of model parameter changes on the evolution of safety behavior strategies and verify the evolution paths under different initial values by numerical simulations. The findings of this paper are as follows: Firstly, the safety and stability of construction projects are related to the possible losses caused by accidents, the amount of work required by construction workers to comply with safety regulations, the gain of bravado, the probability of accidents, and cost savings from the main contractor’s lax supervision. Secondly, the role of restraining the unsafe behavior of construction workers through the form of fines is limited, and increasing the fines to the main contractor cannot effectively reduce the unsafe behaviors. Thirdly, strengthening safety education, creating a safe atmosphere, and optimizing operating procedures are effective measures to improve the effectiveness of safety behavior. This study further extends the application of evolutionary game theory to construction safety management, and the findings can provide clear guidance for the development of effective incentives and constraints on safety behavior.

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Research on Safety Management of Construction Engineering Personnel under “Big Data + Artificial Intelligence”

Cited by 19 publications

References 9 publications

The Assessment of the Maturity of Informatization in Assembly-Building Projects Utilizing the CMM-CME Methodology, Taking a Project in China as an Illustration

The Assessment of the Maturity of Informatization in Assembly-Building Projects Utilizing the CMM-CME Methodology, Taking a Project in China as an Illustration

How Artificial Intelligence Changed the Construction Industry in Safety Issues

Analysis of Behavioral Strategies of Construction Safety Subjects Based on the Evolutionary Game Theory

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