• Title/Summary/Keyword: field worker

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A Survey for a Development Construction Materials' Construction Site Quality Control Guide (건설자재 현장품질관리 지침 개발을 위한 실태조사)

  • Ko, Eun-Joo;Ko, Eun-Jung;Seok, Ho-Joong;Lee, Seung-Hyeok
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2008.05a
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    • pp.1-5
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    • 2008
  • The purpose of this study is to ensure an amicable material quality control in the construction site through investigating a process which can impact the construction material quality. For it, a worker interview and questionnaire survey was conducted through a direct field visit. The visited construction sites are composed of 79% construction site and 21% engineering site. As the respondents of questionnaire survey, the quality control workers were 72% of total respondents. Next, the construction worker, handymen, field representatives and others formed 7%. The interview with the quality control staff was conducted with the items including the construction site quality control guide, incoming inspection and material management. Through this survey, the problems of quality control by progress phase were derived. It could be known that the management and measures by each phase were urgently required. It also was indicated that a selection of low-priced material caused by low price bidding could badly impact the construction and safety. Also, in relation to the opinions such as the insufficient quality control and heavy work-load, the improvements are required. For the effective quality control in the construction site, the material quality control procedures suitable for the phase of construction progress must be presented in the present quality control. Also, the standards for it need to be established.

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Application of Deep Learning Algorithm for Detecting Construction Workers Wearing Safety Helmet Using Computer Vision (건설현장 근로자의 안전모 착용 여부 검출을 위한 컴퓨터 비전 기반 딥러닝 알고리즘의 적용)

  • Kim, Myung Ho;Shin, Sung Woo;Suh, Yong Yoon
    • Journal of the Korean Society of Safety
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    • v.34 no.6
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    • pp.29-37
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    • 2019
  • Since construction sites are exposed to outdoor environments, working conditions are significantly dangerous. Thus, wearing of the personal protective equipments such as safety helmet is very important for worker safety. However, construction workers are often wearing-off the helmet as inconvenient and uncomportable. As a result, a small mistake may lead to serious accident. For this, checking of wearing safety helmet is important task to safety managers in field. However, due to the limited time and manpower, the checking can not be executed for every individual worker spread over a large construction site. Therefore, if an automatic checking system is provided, field safety management should be performed more effectively and efficiently. In this study, applicability of deep learning based computer vision technology is investigated for automatic checking of wearing safety helmet in construction sites. Faster R-CNN deep learning algorithm for object detection and classification is employed to develop the automatic checking model. Digital camera images captured in real construction site are used to validate the proposed model. Based on the results, it is concluded that the proposed model may effectively be used for automatic checking of wearing safety helmet in construction site.

A Study on the Subjective Perception Patterns of Social Workers to Corporate Philanthropy in Social Work Field (사회복지분야의 기업 사회공헌활동에 대한 사회복지사의 주관적 인식유형 연구)

  • Park, Kyung-Su
    • Korean Journal of Social Welfare
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    • v.61 no.4
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    • pp.109-136
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    • 2009
  • This study started with concerns for corporate philanthropy that is emerging as an alternative for resource development of social work field in Korea. However, corporate philanthropy is not operating as an accomplished conception yet, but as a type of the practical discourse. Therefore corporate philanthropy is interpreted a multiplicity of meanings is used ambiguously in social work practice field. This is because theoretical reviews on the conceptual thinking of corporate philanthropy are scant and is in need of empirical inquires into conceptual perception of social workers who uses this concept as a stakeholder to corporate philanthropy. After analyzing the data using Q methodology, the result shows that social workers' major perception patterns on corporate philanthropy perspective consists of three patterns; Win-Win Partnership, Social-obligation, Strategic Materialism. These patterns are classified by the dimension of 'classical view', 'socio-economic view', 'modern view' and 'philanthrophic view'. This result will attribute to develop theories, social work practice program and social worker' training program related corporate philanthropy. And to give facilities for lucid communication among practice and theory in social work field as it materializes the explicit conception of corporate philanthropy that is understood ambiguously in Korea.

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3D Knowledge Retrieval for e-Learning Construction (이러닝 구축을 위한 3D 지식 검색)

  • Kim, Gui-Jung;Han, Jung-Soo
    • The Journal of the Korea Contents Association
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    • v.10 no.7
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    • pp.63-69
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    • 2010
  • This research does focus on supporting all of formal, or informal learning at real time. From industry or education field, learning training is according to worker's current situation or business context. And according to worker's current situation, or business flow, 3D immersion knowledge visualization is effective in the individual ability and the learning progress For this, workers listen to compound knowledge coaching advices at real time. Therefore we developed the realistic 3D based knowledge retrieval method to identify and retrieve multidimensional relation easily.

A Study on Evaluating Background Factors of the Unsafe Behavior using AHP (AHP를 이용한 불안전행동 배경요인 평가에 대한 연구)

  • Ryu, Si-Uk;Heo, Deok-Gyu
    • Proceedings of the Safety Management and Science Conference
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    • 2009.11a
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    • pp.1-7
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    • 2009
  • Most industrial accidents occur when the workers' unsafe behavior and the unsafe situation of workplace take place at the same time. Although human's unsafe behavior is indispensable to work field, the evaluation scheme to detect the causes for the accident resulted from human's unsafe behavior and counterplan should be prepared to prevent and reduce accident. To do this, we first classify the specific background factors in terms of human inner factor and environment factor and then develop the AHP (Analytic Hierarchy Process) model to analyze the background factors that affect the worker's unsafe behavior. We also develop a checklist to be able to evaluate the occurrence possibility of individual worker's unsafe behavior.

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A Research about the method for the optical cable identification by using phase change signal of the optical interferometer (광간섭계의 위상변화 신호를 이용한 광케이블 식별방법에 관한 연구)

  • Jeong, Hyun-Ho;Lee, Yong-Gi;Min, Kyoung-Seon;Jeong, Ho-jin
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.105-106
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    • 2006
  • It is important to identify the exact target optical cable that a worker look for when he executes a cable construction work. Until now, An Optical cable identification work has been done by a manual pulling of an optical cable or by the method of using RF signals. But these methods not only consume much time and labor costs but also have a distance limit of the optical cable to identify. In this paper, we propose a method that uses the phase change signal of the optical interferometer to identify an optical cable. With the proposed method the field worker can have an efficient tool to prevent miscutting the optical cable and can also save operating costs.

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Deep Learning based Behavior Analysis System for High Rise Worker at Industrial Field. (딥러닝 기반 산업현장 고소작업자 행동분석 시스템)

  • Lee, Se-Hoon;Moon, Hyo-Jae;Yu, Jin-Hwan;Kim, Hyun-Woo;Yeom, Dae-Hoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.01a
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    • pp.51-52
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    • 2018
  • 산업 현장에서 작업자의 잘못된 작업행동으로 인한 안전사고가 꾸준히 발생하고 있다. 현재는 관리자가 육안으로 작업자의 위험행동 여부를 관리하고 있지만, 모든 작업자를 관리자 한명이 관리하기에는 현실적으로 어려움이 있다. 본 논문에서는 이 문제를 해결하기 위해 고소 작업자의 안전벨트에 IoT 장치를 부착하여 행동 데이터를 클라우드에 업로드하고, 딥러닝을 통해 작업자 위험행동 여부를 분석한다. 분석한 결과를 관리자가 쉽게 모니터링 할 수 있도록 하여, 안전사고를 예방하도록 하는 시스템을 설계하였다.

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An Influence of Social Workers' Social Capital on Organizational Citizenship Behavior - focused on Social workers in Kwangjoo metropolitan and Jeon-nam Province -

  • Lee, Hun-Hee;Lee, Jung-Seo
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.9
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    • pp.127-137
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    • 2016
  • This study is an objective research to verify causality between social worker's social capital and OCB in Jeon-nam province including Kwangjoo. Survey was done directly from 255 social workers working in social welfare facilities. Study methodology was the structural equation to verify the influence of social capital on organized citizens' activities and the mediator effect of job satisfaction and organizational commitment. Using Fornell and Locker's two-step approach, this study verified the similarity between direct effectiveness and indirect effectiveness through bootstrap. I hope that the result of this study will be used as objective and academic material for social workers who work hard with sense of duty at field and expect that there will be a intensive follow-up research which can make social workers' social capital and make it stronger.

Applying psychosocial approach in industrial safety research (산업안전 연구에 대한 사회심리적 접근의 통합)

  • Ahn, Kwan-Young
    • 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.

Development of Unmanned Vehicles System for Waste Collection Considering Worker Safety (작업자 안전을 고려한 무인 폐기물 수거차 시스템 개발)

  • Jung, Mingwon;Kim, Sangho;Lee, Sangmoo;Won, Daehee;So, Byungrok;Lee, Sangjun
    • The Journal of Korea Robotics Society
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    • v.17 no.4
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    • pp.477-483
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    • 2022
  • In this paper, we propose waste collection vehicle system with a safety device for worker safety and an autonomous driving function. The steering system is applied as MDPS (Motor Drive Power Steering) system to control the waste collection vehicle of the internal combustion engine. Safety-related errors is prevented through redundancy brake of the integrated system and the control braking system. In order to ensure safety between workers and waste collection vehicles, work guidelines and safety devices for emergency stop in case of danger are applied to vehicles. In addition, this research is conducted on improving the working efficiency through vehicle condition monitoring system and a short-range control system for field test. This research is aimed to secure stability through demonstration and contribute to the industrialization of unmanned waste collection vehicles.