Development of a new ergonomic risks management algorithm on the example of drivers

Eastern-European Journal of Enterprise Technologies, Journal Year: 2024, Volume and Issue: 2(3 (128)), P. 38 - 49

Published: April 30, 2024

The object of the study: process determining and managing ergonomic risks at workplaces when performing professional activities on example truck drivers. problem lies in uncertainty making decisions occupational safety health management systems. hypothesis study was possibility assessing systems organizations based identification regularities between load index, typical working postures operations intensity joint movements. An risk assessment algorithm developed, taking into account which includes a sequence eleven steps, can be conditionally divided three groups. first is determination movement. second impact activity duration production task. third environmental factors. drivers carried out for types work: driving vehicle, replacing damaged wheel, repairing car. At same time, takes worker’s individual state factors, as well experience work experience. It has been established that there high level during car maintenance due to highest total 30 % higher compared other vehicle practical application consists development universal check list an determine workers workplaces, 11 steps

Language: Английский

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ME-WARD: A multimodal ergonomic analysis tool for musculoskeletal risk assessment from inertial and video data in working places

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: 278, P. 127212 - 127212

Published: April 10, 2025

Language: Английский

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Bibliometric Analysis of Literature on Smart Technology Integration in the Construction Industry

IOP Conference Series Earth and Environmental Science, Journal Year: 2025, Volume and Issue: 1492(1), P. 012036 - 012036

Published: April 1, 2025

Abstract Globally, the construction industry is experiencing a significant increase in new technologies due to transitioning from traditional methods digital technologies. The utilizing advanced reduce operational inefficiencies. Soaring demand for homes exposing limitations of methods. study aims analyze research trends smart technology integration through bibliometric analysis. Scopus database results were extracted with VOS Viewer. examined 19,225 papers on “Smart Construction,” narrowing it down 588 suitable review based criteria such as subject area, publication type, etc. United Kingdom, States, and Hong Kong produced most impactful research. countries publications are Russian Federation, China, States. cited review-based focused blockchain, sustainable infrastructure, construction, work explicitly highlights overview being used practices. This aids researchers built environment professionals comprehending sector by offering baseline data future suggests need case study-based understand better practical application sectors, thereby enabling further trend study’s findings can help enhance efficiency sustainability development.

Language: Английский

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Development of an end-to-end hardware and software pipeline for affordable and feasible ergonomics assessment in the automotive industry

Safety Science, Journal Year: 2024, Volume and Issue: 173, P. 106431 - 106431

Published: Jan. 29, 2024

An end-to-end hardware-software pipeline is introduced to automatize ergonomics assessment in industrial workplaces. The proposed modular solution can interoperate with commercial systems throughout the phases involved process. includes custom-designed Inertial Measurement Unit (IMU) sensors, two real-time worker movement acquisition tools, inverse kinematics processing and Rapid Upper Limb Assessment (RULA) report generation. It based on free tools such as Unity3D OpenSim avoid problems derived from using proprietary technologies, security decisions being made under “black box” conditions. Experiments were conducted an automotive factory a workplace WMSDs risk among workers. obtained comparable results gold standard solution, reaching measured joint angles 0.95 cross-correlation Root Mean Square Error (RMSE) lower than 10 for elbows 12 shoulders between both systems. In addition, global RULA score difference 5 % This work provides low-cost reduce musculoskeletal disorders associated sick leave industry, impacting health of workers long term. Our study ease further research popularize use wearable analysis allowing these prevention reach different environments.

Language: Английский

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Machine learning-based seismic response forecasting using feature mapping algorithms and scientometric analysis of nailed vertical excavation in a soil mass

Cogent Engineering, Journal Year: 2025, Volume and Issue: 12(1)

Published: Feb. 22, 2025

Language: Английский

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Review of Emerging Technologies for Reducing Ergonomic Hazards in Construction Workplaces

Buildings, Journal Year: 2023, Volume and Issue: 13(12), P. 2967 - 2967

Published: Nov. 28, 2023

In the era of Industry 4.0, marked by integration digitization, automation, and data synthesis, emerging technologies play a vital role in mitigating ergonomic hazards within construction work environments. This study investigates research trends encompassing adoption three categories technologies—(1) wearable sensors; (2) extended reality, which combines virtual reality (VR), augmented (AR), mixed (MR); (3) exoskeletons robotics—as means to mitigate risk occupational nonfatal injuries industry. Employing bibliometric scientometric analyses, quantitative examination relationship literature is performed. From Scopus database, 347 papers were selected from pool 1603 publications 2018 2022. The conducted analyses encompass annual publication trends, keyword co-occurrence analysis, journal-source author country analysis using VOSviewer (version 1.6.19) bibliometrix software 4.1.3). findings highlight crucial advanced enhancing safety health management Wearable sensors, for example, offer promising capabilities real-time monitoring, potentially reducing onsite alerting workers hazards. Extended especially VR, can enhance effectiveness safety-training education simulating realistic scenarios while minimizing exposures hazardous conditions that may face challenges. Furthermore, robotics has potential reduce physical strain injury risks among workers, particularly physically demanding tasks. review paper identifies current applying industry, also suggesting future directions this dynamic field.

Language: Английский

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Improving Workplace Safety and Health Through a Rapid Ergonomic Risk Assessment Methodology Enhanced by an Artificial Intelligence System

Applied System Innovation, Journal Year: 2024, Volume and Issue: 7(6), P. 103 - 103

Published: Oct. 28, 2024

The comfort of a worker while performing any activity is extremely important. If that extends beyond person’s capacity to withstand physical and psychological stress, the may suffer from both mental ailments. Over time, if stress persists, these conditions can become chronic diseases even be cause workplace accidents. In this research, methodology was developed for rapid assessment ergonomic risks calculating level in workplace. This uses artificial intelligence through specific algorithm takes into account number factors that, when combined, have significant impact on workers. To achieve more accurate simulation work situation or evaluate an ongoing situation, significantly correlate parameters, we used logarithmic calculation formulas. streamline process, software performs calculations, conducts risks, estimates level, proposes possible measures mitigate effects assist diagnosing neural network with five neurons input layer, one hidden two output layer. As result, most situations, industrial field, quickly analyzed evaluated using methodology. use new analysis diagnosis tool, implemented research technology, beneficial employers Moreover, further developments methodology, achieved by increasing relevant parameters ergonomics integrating advanced systems, aim provide high precision assessing risk comfort.

Language: Английский

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Research on Quantitative Assessment and Dynamic Reasoning Method for Emergency Response Capability in Prefabricated Construction Safety

Buildings, Journal Year: 2023, Volume and Issue: 13(9), P. 2311 - 2311

Published: Sept. 12, 2023

In response to the common issues of lacking a comprehensive quantitative assessment system and insufficient dynamic understanding emergency capability in prefabricated construction safety, this study proposes research methodology based on decision-making trial evaluation laboratory (DEMATEL) fuzzy cognitive maps (FCM) promote capacity. Firstly, indicator comprising 4 core categories organizational management, personnel quality, technical measures, resources, along with 16 main categories, is established using grounded theory three levels coding approach. Subsequently, through combination expert surveys analysis, DEMATEL employed unveil causal relationships key indicators criteria. Next, FCM models are integrated conduct predictive diagnostic reasoning analysis indicators. Finally, case conducted validate usability effectiveness proposed model methodology. The results demonstrate that related management quality belong cause group, while measures resources fall into effect group. “completeness plans” exhibits most significant influence other also influenced by others. Predictive reveals well-controlled “emergency structure procedures” crucial for enhancing Diagnostic indicates improvement should focus plans”. synergistic between contributes enhancement safety. holds both theoretical practical significance advancing safety construction. Considering coupling multiple factors will be primary direction field future.

Language: Английский

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Bibliometric analysis of medical and health research collaboration between China and ASEAN countries

Digital Health, Journal Year: 2023, Volume and Issue: 9

Published: Jan. 1, 2023

To reveal the characteristics, development trend and potential opportunities of China-ASEAN collaboration in medical health field based on bibliometrics.Scopus International Center for Study Research Lab (ICSR Lab) was used to analyze scale, network distribution, impact cooperative papers, dominance evolution literature Scopus database from 1992 2022.From 2022, 19,764 articles between China ASEAN were filtered analysis. The number collaborations has shown a clear upward over years, indicating gradually closer improved relationship overall. institutional countries obviously clustered, connectivity limited. substantial differences median mean values citation research reflected that 'less' but 'better'. share main fluctuating become more stable after 2004. Most focused their own characteristic topics. In recent infectious diseases public had expanded significantly, while other topics maintained complementary trend.Collaboration exhibited progressively relationship, remained stable. However, there are still areas concern, including limited scale collaboration, narrow scope participation weak dominance.

Language: Английский

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Monocular 3D Multi-Person Pose Estimation for On-Site Joint Flexion Assessment: A Case of Extreme Knee Flexion Detection

Sensors, Journal Year: 2024, Volume and Issue: 24(19), P. 6187 - 6187

Published: Sept. 24, 2024

Work-related musculoskeletal disorders (WMSDs) represent a significant health challenge for workers in construction environments, often arising from prolonged exposure to ergonomic risks associated with manual labor, awkward postures, and repetitive motions. These conditions not only lead diminished worker productivity but also incur substantial economic costs employers healthcare systems alike. Thus, there is an urgent need effective tools assess mitigate these risks. This study proposes novel monocular 3D multi-person pose estimation method designed enhance risk assessments environments. Leveraging advanced computer vision deep learning techniques, this approach accurately captures analyzes the spatial dynamics of workers’ focus on detecting extreme knee flexion, critical indicator work-related (WMSDs). A pilot conducted actual site demonstrated method’s feasibility effectiveness, achieving accurate detection rate flexion incidents that closely aligned supervisory observations self-reports. The proposed enables universal applicability enhances analysis through group recognition timely interventions. Future efforts will improving robustness integration monitoring reduce WMSDs promote health.

Language: Английский

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