• Journal of Platform Technology
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• v.11 no.6
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• pp.79-88
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• 2023

Recently, industrial accidents have continued to increase due to the industrialization, and worker safety management is recognized as essential to reduce losses due to hazardous factors at work places. To manage the safety of workers, it is required to apply customized safety management artificial intelligence technology that takes into account the characteristics of industrial sites, and a service for real-time risk detection and response to workers depending on the situation based on safety accident types and risk analysis for each task and process. The proposed safety management service consists of worker devices to acquire sensor data, edge devices to collect from IoT-based sensors, and a voice chatbot to support workers' disaster response. The voice chatbot plays a major role in interacting with workers at disaster sites to respond to risks. This paper focuses on real-time risk response using an IoT-based system and voice chatbot on a server for work safety according to the worker's situation. A Scenario-based voice chatbot is used to process responses at the edge level to provide safety management services.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.458-464
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• 2022

Hazard recognition is considered as one of the pre-requisites for effective hazard management and injury prevention. However, in complex and changing environments, construction workers are often unable to identify all possible hazards that can occur in the jobsite. Therefore, identification of factors that impact hazard recognition in the work environment is necessary to reduce safety incidents as well as to develop strategies that can improve worker's hazard recognition performance. This study identified factors/problems that impact worker's hazard recognition abilities and suggested some potential technologies that can mitigate such problems. Literature reviews of journal articles and published reports related to hazard recognition studies were conducted to identify the factors. The study found out that the major factor responsible for affecting worker's hazard recognition abilities were human-related. Industry factors, Organizational factors and Physical factors of the site were the other factors identified from the study that impact worker's hazard recognition performances. The findings from the study can help site personnel recognize areas where effective measures can be directed towards worksite safety of workers while working in complex construction environments.

• Journal of the Korea Society of Computer and Information
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• v.23 no.2
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• pp.63-70
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• 2018

Safety management agent manages the risk behavior of the worker with the naked eye, but there is a real difficulty for one the agent to manage all the workers. In this paper, IoT device is attached to a harness safety belt that a worker wears to solve this problem, and behavior data is upload to the cloud in real time. We analyze the upload data through the deep learning and analyze the risk behavior of the worker. When the analysis result is judged to be dangerous behavior, we designed and implemented a system that informs the manager through monitoring application. In order to confirm that the risk behavior analysis through the deep learning is normally performed, the data values of 4 behaviors (walking, running, standing and sitting) were collected from IMU sensor for 60 minutes and learned through Tensorflow, Inception model. In order to verify the accuracy of the proposed system, we conducted inference experiments five times for each of the four behaviors, and confirmed the accuracy of the inference result to be 96.0%.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.473-477
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• 2006

In domestic construction site, convenient facilities for worker are much lacking up to now. These things exert negative influences in the occurrence of construction disaster because a safety-aware of worker-self is been lacking ultimately, and 3D(Dirty Dangerous Difficult) evasion phenomenon for construction site spreads more to workers and actuality that is going through manpower problems may be heavier. This research applied sensitivity safety cultural institutions that make aware of worker's sensitivity in spot to search solution way of these problems from resource of human original nature. By the result, there were affirmative sides that sensitivity safety cultures facilities make created a safety-aware during work to worker-self. Also, these facilities gave as member of a constituent by workers, it examined that become many helps in operation efficiency.

• Journal of the Korean Society of Systems Engineering
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• v.16 no.1
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• pp.68-77
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• 2020

The shipbuilding and offshore industry is a large and complex assembly industry, which causes many safety accidents. The major accidents in the shipbuilding and offshore industry workplaces are stenosis, falling objects, dust, fire, explosions, and gas poisoning. The accident by worker in this industry mainly has three factors: frequent movement, narrow work space, and increased use of subcontractors. To control these factors, it is necessary to monitor the worker's location and work status. In this paper, a worker location monitoring system using inaudible sound wave was designd that can be used in environments with many metal barriers. The process included deriving stakeholder requirements, transforming to system requirements, designing system architecture, and developing prototype. The prototype was validated by third-party testing agency. As a result, it satisfied the designed performance and verified its feasibility.

• Journal of the Korea Safety Management & Science
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• v.14 no.4
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• pp.13-21
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• 2012

This paper tried to apply psychosocial factors in industrial safety research. Since Zohar's(1980) publication of safety climate in the field of safety research, this approach have been done by many researchers. Here, this paper reviewed the relationship between safety climate factors(safety rule, prevention, superior attitude, social support) and safety compliance, and the moderating effects of work condition, required skill and age. Based on the responses from 233 employees in Kangwon province industry, hierarchical regressional analysis showed that all safety climate factors(safety rule, prevention, superior attitude, social support) have positive relationship with safety compliance. Safety rule appeared to be more positively related with safety compliance, while work condition is more favorable and worker is older. But social support appeared to be more positively with safety compliance, while work condition is more unfavorable, and also prevention appeared to be more positively with safety compliance, while worker is more younger.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.57-58
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• 2019

본 논문에서는 앞서 진행한 연구들과 딥러닝을 이용한 고소작업자 행동 모니터링 논문에 이어 작업자 위험 행동분류 시스템을 개선할 수 있는 연구 결과를 비교, 설명한다. 이번 연구에서는 작업자의 행동에 따른 고도계 센서의 데이터를 추가로 수집하여 작업자의 더 다양한 행동을 분류하고 위험 행동 패턴 분석을 위한 방향을 제시한다.

• Proceedings of the Safety Management and Science Conference
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• 2008.04a
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• pp.35-46
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• 2008

• Proceedings of the Safety Management and Science Conference
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• 2001.05a
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• pp.31-37
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• 2001

The purpose of this paper is to supply the principal methods for the safety in the press industrial accident preventions and the basic analyzing theory in the press industrial accidents. It was reached the press machine installed companys and was analyzed the accident characteristics, types, the worker's working period and the distributed worker's age of the happened the press machine industrial accidents. The direct reasons are almost reasons of the press industrial accidents. But it should be not ignore the indirect reasons of the accidents In this study, it was presented that the safety devices is selected by the analyzed reasons in the press industrial accidents for the principal accident prevention.

• Journal of the Korea Safety Management & Science
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• v.3 no.2
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• pp.91-103
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• 2001

The purpose of this paper is to supply the principal methods for the safety in the press industrial accident preventions and the basic analyzing theory in the press industrial accidents. It was reached the press machine installed companys and was analyzed the accident characteristics, types, the worker's working period and the distributed worker's age of the happened the press machine industrial accidents. The direct reasons are almost reasons of the press industrial accidents. But it should be not ignore the indirect reasons of the accidents In this study, it was presented that the safety devices is selected by the amalyzed reasons in the press industrial accidents for the principal accident prevention.