• Safety and Health at Work
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• v.7 no.3
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• pp.231-236
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• 2016

Background: To analyze the effects of the factors associated with different types of injury (superficial wounds, dislocations and sprains, bone fractures, concussion and internal injuries, burns scalding and freezing) caused by occupational accidents in automotive repair workshops. Methods: Study of a sample consisting of 89,954 industry accidents reported from 2003 to 2008. Odds ratios were calculated with a 95% confidence interval. Results: Belonging to a small company is a risk factor for suffering three of the five types of injury studied. Women are less likely to suffer burns and superficial wounds, and more likely to suffer dislocations or sprains. Foreign workers are more likely to suffer concussion and internal injuries. Conclusion: Health and safety strategies and accident prevention measures should be individualized and adapted to the type of worker most likely to be injured in each type of accident. Occupational health and safety training courses designed according to worker profile, and improving the participation of the workers in small firms creating regional or roving safety representatives would improve working conditions.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.525-532
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• 2022

Accidents at construction sites in Korea account for more than half of all industrial accidents. To solve this problem, a policy to strengthen safety education was implemented to ensure the safety of workers. However, it was analyzed that there is a high possibility of accidents because workers did not receive proper safety information for each risk factor due to general lecture-style education. In addition, statistics show that the accident status of workers with fewer years of period is high, indicating that a customized information delivery method needs to be proposed for unskilled workers with fewer years of period. Research on the importance of education has been conducted, but no information delivery method has been identified. For unskilled workers to effectively receive safety information, appropriate delivery formats (text, photos, illustrations, 4D-BIM, 360-based panorama, video, animation) were analyzed, and a new method of education was proposed. If customized safety information is provided according to this proposal, effective information delivery to unskilled workers will be possible, and it is expected to be verified in various ways.

• Journal of Preventive Medicine and Public Health
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• v.28 no.3 s.51
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• pp.551-562
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• 1995

To assess the status of safety accidents, authors reviewed and analysed the records of safety accidents of a welding material manufacturing factory at Pohang city from January 1989 to December 1993. The results are; 1. The total incidence of safety accidents was 295 spells for five years. 2. Average age of workers with accident was 35.7 years. Average duration of employment was 6.2 years and the duration of employment increased as the year increased. 3. There was no statistical significance on season, month, weekday and time by year in the incidence of safety accidents. The most frequent part of body injured was upper extremities and the most frequent type of injury was abrasion. 4. Mean admission rate of safety accidents was 12.6% and the ratio of treated spells as occupational injury was 7.8%. 5. The most frequent cause of injury was worker's mistake and the most frequent action for the prevention of further accidents was safety education. 6. The incidence rate of safety accidents on 1993 was 116.2 spells per 1,000 persons. Above results suggest that to prevent safety accidents, safety education should be done continuously, the environmental and human factors were controlled and more exact reporting system of safety accidents was needed.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.135-142
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• 2021

Estimating the locations of workers in a shipyard is beneficial for a variety of applications such as selecting potential forwarders for transferring data in IoT services and quickly rescuing workers in the event of industrial disasters or accidents. In this work, we propose a human movement stream processing system for estimating worker locations in shipyards based on Apache Spark and TensorFlow serving. First, we use Apache Spark to process location data streams. Then, we design a worker location prediction model to estimate the locations of workers. TensorFlow serving manages and executes the worker location prediction model. When there are requirements from clients, Apache Spark extracts input data from the processed data for the prediction model and then sends it to TensorFlow serving for estimating workers' locations. The worker movement data is needed to evaluate the proposed system but there are no available worker movement traces in shipyards. Therefore, we also develop a mobility model for generating the workers' movements in shipyards. Based on synthetic data, the proposed system is evaluated. It obtains a high performance and could be used for a variety of tasksin shipyards.

• Journal of the Korean Society of Safety
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• v.22 no.4
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• pp.66-71
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• 2007

Human error is one of the major contributors to the railway accidents or incidents. In order to develop an effective countermeasure to remove or reduce human errors, a systematic analysis should be preferentially performed to identify their causes, characteristics, and types of human error induced in accidents or incidents. This paper introduces a case study for human error analysis of the railway accidents and incidents. For the case study, more than 1,000 domestic railway accidents or incidents that happened during the year of 2004 have been investigated and a detailed error analysis was performed on the selected 90 cases, which were obviously caused by human error. This paper presents a classification structure for human error analysis, and summarizes the analysis results such as causes of the events, error modes and types, related worker, and task type.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.1515-1524
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• 2008

In this study, railway accidents from constructing or maintaining works on/near operating line were reviewed during 2005-2007 years. Causes and hazards analysis of these accidents was performed to make an accident scenario for risk assessments. And the risk of worker casualty on/near operating line was quantitatively assessed. Also a constitution method of Risk Matrix for manage tolerable risk level was proposed.

• Journal of the Korea Safety Management & Science
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• v.24 no.3
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• pp.23-28
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• 2022

Rack is a place to store products. Workers pick products from rack storage. After picking up, workers move to another location by forklift. Driving speed, worker condition, and number/frequency of operation is responsible for forklift accidents. When an accident occurs, products get damaged. Therefore, it is important to prevent one. As the research result, To prevent forklift accidents, the minimum order quantity, the minimum number of operations, and low speed operation are required.

• Journal of the Korean Institute of Gas
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• v.19 no.1
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• pp.45-50
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• 2015

This study is an analysis of characteristics and the causes of serious accidents in chemical industry. The statistical analysis was focused on preventive facilities, equipment failures, accident materials and instabilities of workers and employment type. First, it showed that the highest number of the victims of accidents were involved in the industry of chemical materials and chemical products among the investigation of the manufactural industries. Also, particularly, they were investigated to be focused on the occurrence of the serious accidents in preventive facilities. Secondly, the most of the victims of serious accidents were found out not to be temporary or part-time worker but regular workers and most of the accidents occur in the form of big accidents involving more than 4 workers.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.251-252
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• 2023

Compared to other industries the construction industry experiences more casualties and property damage due to safety accidents. One of the reasons is the increasing number of foreign workers. For this reason, past studies have found that foreign workers at construction sites are more exposed to safety accidents than non-foreign workers. Nevertheless the proportion of foreign workers involved in safety accidents at construction sites is increasing, and there has been a lack of research to predict the risk of safety accidents at construction sites. Additionally, realistic safety management is lacking due to a lack of safety accident risk prediction research. Therefore, in this study, we would like to propose basic research that proposes an AI-based safety accident prediction model framework for predicting safety accidents of foreign workers at construction sites. The framework and results of this study will contribute to reducing and preventing the risk of safety accidents for foreign workers through risk prediction for safety management of foreign workers at construction sites.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.2
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• pp.91-98
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• 2019

Accidents of worker that occur in isolated places are difficult to rescue, unlike general construction accidents. There is a problem of communication limitation when an accident occurs in an isolated place. Also, it is difficult to search the accident place due to the absence of CCTV. In order to solve these problems, this paper proposes a device that combines IoT technology with a safety helmet, which must be worn in the workplace. The proposed device additionally designs and implements a real-time PPG(Photoplethysmography) sensor, body temperature sensor, accelerometer sensor and a camera sensor on the helmet. The proposed helmet system allows the user and the control center to monitor the state of the worker. In addition, when an abnormal biological signal or fall occurs to the worker, the image is transmitted to the control center. By using the proposed system, it is possible to check the status of the worker in real time, so that it has an advantage that it can cope with the accident quickly.