Lightweight Neural Networks-Based Safety Evaluation for Smart Construction Devices

Wang, Guimei; Zhou, Jianliang

doi:10.1155/2022/3192552

Cited by 3 publications

(3 citation statements)

References 24 publications

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“…After analyzing the survey results, 13 safety factors affecting the hoisting operations of prefabricated buildings were determined to be significant among the 16 potential factors with a coefficient above the average score of 4.58 based on a 5-point Likert scale. In addition, these safety factors were classified into four safety evaluation indicator categories, namely human, material, environmental, and managerial, based on the research findings of Bao [ 33 ], Wang [ 34 ], and Singh [ 35 ]. The influencing factor of each safety factor is identified and summarized in Table 6 .…”

Section: Resultsmentioning

confidence: 99%

Analyzing Construction Workers’ Unsafe Behaviors in Hoisting Operations of Prefabricated Buildings Using HAZOP

Zhu

Huang

et al. 2022

IJERPH

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Along with the increasing number of prefabricated buildings being constructed in China each year, the incident rate of hoisting operations has been continuously rising. In order to improve construction safety in hoisting operations of prefabricated buildings, this paper analyzes the construction workers’ unsafe behaviors using the Hazard and Operability (HAZOP) method. A questionnaire survey and a literature review were first performed to gather information on safety risks and influencing factors during each stage of hoisting operations, and the survey results were statistically analyzed using the SPSS software. Next, HAZOP was applied to identify the deviation and change of the unsafe behaviors as well as their causes, consequences, and countermeasures. Finally, a case study was presented to verify the effectiveness of the countermeasures through a comparison and evaluation method from experimental economics. This paper demonstrates the use of HAZOP to analyze construction workers’ unsafe behaviors in hoisting operations of prefabricated buildings, and effective countermeasures in each stage of hoisting operations are proposed to mitigate unsafe behaviors. This paper therefore provides an innovative method and a theoretical foundation for reducing unsafe behaviors in hoisting operations of prefabricated buildings and serves as a reference for decision-making for hoisting safety policies in prefabricated construction projects.

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Section: Resultsmentioning

confidence: 99%

Analyzing Construction Workers’ Unsafe Behaviors in Hoisting Operations of Prefabricated Buildings Using HAZOP

Zhu

Huang

et al. 2022

IJERPH

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“…Although still in its conceptual stage, the neural controlled devices (NCDs) are abraincomputer interface that will allow controlling the construction devices remotely using neural facilitated digital humans [139]. Conventionally, it can be regarded ashuman-machine interaction and collaboration to streamline construction tasks and operations [140]. For instance, on-site equipment in the construction industry will be mutually connected with the human brain to facilitate the tasks, thus reducing collisions or any other danger [141].…”

Section: Construction Telematics and Neural Controlled Devicesmentioning

confidence: 99%

BIM and Digital Twin for Developing Convergence Technologies as Future of Digital Construction

et al. 2023

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The construction industry is slow to adopt new technologies. The implementation of digital technologies and remote operations using robots were considered farfetched affairs and unbelievable approaches. However, the effect of COVID-19 on clients and construction companies put high pressure on construction managers to seek digital solutions and justified the need for remote operating or distant controlling technologies. This paper aims to investigate the state of play in construction technology implementation and presents a roadmap for developing and implementing required technologies for the construction industry. The COVID-19 disruption required new methods of working safely and remotely and coincided with the advent of advanced automation and autonomous technologies. This paper aims to identify gaps and 11 disruptive technologies that may lead to upheaval and transformation of the construction sector, perhaps in this decade. A road map for technology implementation can be helpful in developing business strategies at the organizational level as a theoretical measure, and it can facilitate the technology implementation process at the industry level as a practical measure. The roadmap can be used as a framework for policymakers to set industry or company strategies for the next 10 years (2030).

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“…Researchers and practitioners paid close attention to multi-criteria decision-making (MCDM) while evaluating, assessing and rating alternatives across many industrial and non-industrial sectors. Examples include assessing urban sustainable development in China [21], assessing sustainable energy planning techniques [22] and optimizing renewable energy systems [23,24]. Comparing and evaluating various choices for PV panel cooling techniques in large PV systems is one of the main goals of this multi-criteria decision analysis.…”

Section: Finsmentioning

confidence: 99%

Selection of a Photovoltaic Panel Cooling Technique Using Multi-Criteria Decision Analysis

Kaneesamkandi

Rehman

2023

Applied Sciences

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Photovoltaic panel performance in terms of its efficiency and durability is severely affected by operating temperature when the temperature is much higher than the nominal operating cell temperature in hot climates. Different cooling methods have been reported over several decades, but photovoltaic panel manufacturers or users are yet to adopt a popular method of panel cooling. This is the main concern of the present work. Potential cooling solutions differ in terms of their criteria for performance evaluation, which are efficiency enhancement, costs, reliability, environmental aspects and ergonomics. Hence, there is a need to identify the optimum cooling method. Eight different cooling methods were identified, and the analysis was made with the multi-criteria analysis tool on the different possible attributes. Two different climate zones with different weight schemes are considered for the evaluation process, and the best to the worst cooling solutions have been identified. Five different scenarios depending on the importance given to each evaluation criterion are analyzed. The best cooling method to the worst cooling method has been arranged under each scenario. When the efficiency of operation was given maximum weight, aluminum fin cooling proved to be the best panel cooling method. When the emission reduction criterion was given maximum weight, thermosiphon cooling was the best cooling option. A comparison of the results indicates that thermosiphon works out to be the best option. The second-best method was found to be forced convection cooling when equal weights were applied and thermosiphon cooling when a 40% weight on efficiency enhancement criteria was applied, which is a more practical weight distribution. Phase change cooling and forced convection cooling had the poorest performance among the different cooling methods for all the weighing scenarios.

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Lightweight Neural Networks-Based Safety Evaluation for Smart Construction Devices

Cited by 3 publications

References 24 publications

Analyzing Construction Workers’ Unsafe Behaviors in Hoisting Operations of Prefabricated Buildings Using HAZOP

Analyzing Construction Workers’ Unsafe Behaviors in Hoisting Operations of Prefabricated Buildings Using HAZOP

BIM and Digital Twin for Developing Convergence Technologies as Future of Digital Construction

Selection of a Photovoltaic Panel Cooling Technique Using Multi-Criteria Decision Analysis

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