• 제목/요약/키워드: Outdoor workers

검색결과 95건 처리시간 0.025초

A Study on the Perception Level and Proper Management of Indoor Air Quality Recognition in Elderly Care Hospital Workers

  • Choi, Mi-Suk
    • 한국컴퓨터정보학회논문지
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    • 제24권11호
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    • pp.171-178
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    • 2019
  • 본 연구에서는 노인요양병원의 실내공기질 관리계획을 제안하고자 노인요양병원의 실내공기질 수준을 측정하고 근무자의 실내공기질에 대한 인식에 대하여 조사하였다. 측정 항목은 온도, 습도, CO2, CO, PM10, VOC이며 2019년 4월 26일에 실시하였다. 설문 조사에 따르면 실내 공기질에 대한 만족도가 낮을수록 실외 공기질이 더 좋다고 응답하였으며 실내환경 요소 중 악취가 가장 낮은 것으로 응답하였으며 실내 공기질의 만족도가 높을 경우 실내환경 요소의 만족도도 높은 것으로 분석되었다. 다중응답 분석결과 "환기 부족"이었고 회귀 분석 결과 "공기질 관련성" 항목이 가장 낮은 것으로 분석되었다. 노인 요양 병원의 실내 공기질 환경을 최고 수준으로 유지하려면 냄새를 제거하기 위한 환기 장지를 추가로 설치하고 자연 환기 횟수를 늘리고 정기적인 환기담당자를 지정해야 할 것으로 판단된다. 이러한 계획을 수립함으로써 노인요양병원 근무자에게 최상의 서비스를 제공하기 위한 실내 공기질 환경을 제공 할 수 있다.

Climate Warming and Occupational Heat and Hot Environment Standards in Thailand

  • Phanprasit, Wantanee;Rittaprom, Kannikar;Dokkem, Sumitra;Meeyai, Aronrag C.;Boonyayothin, Vorakamol;Jaakkola, Jouni J.K.;Nayha, Simo
    • Safety and Health at Work
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    • 제12권1호
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    • pp.119-126
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    • 2021
  • Background: During the period 2001 to 2016, the maximum temperatures in Thailand rose from 38-41℃ to 42-44℃. The current occupational heat exposure standard of Thailand issued in 2006 is based on wet bulb globe temperature (WBGT) defined for three workload levels without a work-rest regimen. This study examined whether the present standard still protects most workers. Methods: The sample comprised 168 heat acclimatized workers (90 in construction sites, 78 in foundries). Heart rate and auditory canal temperature were recorded continuously for 2 hours. Workplace WBGT, relative humidity, and wind velocity were monitored, and the participants' workloads were estimated. Heat-related symptoms and signs were collected by a questionnaire. Results: Only 55% of the participants worked in workplaces complying with the heat standard. Of them, 79% had auditory canal temperature ≤ 38.5℃, compared with only 58% in noncompliant workplaces. 18% and 43% of the workers in compliant and noncompliant workplaces, respectively, had symptoms from heat stress, the trend being similar across all workload levels. An increase of one degree (C) in WBGT was associated with a 1.85-fold increase (95% confidence interval: 1.44-2.48) in odds for having symptoms. Conclusion: Compliance with the current occupational heat standard protects 4/5 of the workers, whereas noncompliance reduces this proportion to one half. The reasons for noncompliance include the gaps and ambiguities in the law. The law should specify work/rest schedules; outdoor work should be identified as an occupational heat hazard; and the staff should include occupational personnel to manage heat stress in establishments involving heat exposure.

기상요소가 장년근로자의 근로손실일수에 미치는 영향 (Effects of Weather Factors on the Work Loss Days of the Elderly Workers)

  • 최재욱;김태완;이찬식
    • 한국건설관리학회논문집
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    • 제20권1호
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    • pp.41-51
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    • 2019
  • 인구의 고령화와 고용시장의 둔화로 인하여 건설업의 인력구조는 장년근로자가 큰 비중을 차지한다. 또한 옥외작업이 많은 건설업의 특성상 기상은 근로자들에게 재해를 유발하는 요인으로 장년층에게는 일반인에 비하여 보다 민감하게 영향을 미친다. 이 연구는 기상요소가 건설업 장년근로자들에게 미치는 위험정도를 근로손실일수를 통하여 분석하는 데에 목적이 있다. 이를 위해 2012년부터 2016년까지의 7개 도시에서 발생한 28,514명의 장년근로자 재해자수를 12,789일의 기상일수로 나누어 기상요소별 근로손실일수를 산출하였다. 그 결과 기상요소별로는 기온 $-12^{\circ}C{\sim}-10^{\circ}C$, 습도 55% ~ 65%, 강수 128mm ~ 181mm, 풍속 6.0m/s ~ 6.3m/s에서 근로손실일수가 가장 높은 것으로 확인되었다. 기상요소들 간의 결합효과로는 기온 $-8^{\circ}C{\sim}-6^{\circ}C$일 때 습도 39% ~ 41%, 기온 $24^{\circ}C{\sim}26^{\circ}C$일 때 강수 128mm ~ 181mm, 기온 $13^{\circ}C{\sim}15^{\circ}C$ 일 때 풍속 6m/s ~ 6.3m/s, 습도 43% ~ 47%일 때 강수 2.8mm~4mm, 습도 19% ~ 22%일 때 풍속 3.6m/s ~ 3.9m/s, 강수 22.6mm ~ 32mm일 때 풍속 6.0m/s ~ 6.3m/s에서 근로손실일수가 매우 높은 것으로 확인되었다. 따라서 이 연구는 기상요소가 장년근로자의 근로손실일수에 미치는 영향을 고려하여 작업장에서 장년근로자들의 효율적인 안전관리와 쾌적한 작업환경을 위한 기초자료로써의 활용되기를 기대한다.

Framework for improving the prediction rate with respect to outdoor thermal comfort using machine learning

  • Jeong, Jaemin;Jeong, Jaewook;Lee, Minsu;Lee, Jaehyun
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.119-127
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    • 2022
  • Most of the construction works are conducted outdoors, so the construction workers are affected by weather conditions such as temperature, humidity, and wind velocity which can be evaluated the thermal comfort as environmental factors. In our previous researches, it was found that construction accidents are usually occurred in the discomfort ranges. The safety management, therefore, should be planned in consideration of the thermal comfort and measured by a specialized simulation tool. However, it is very complex, time-consuming, and difficult to model. To address this issue, this study is aimed to develop a framework of a prediction model for improving the prediction accuracy about outdoor thermal comfort considering environmental factors using machine learning algorithms with hyperparameter tuning. This study is done in four steps: i) Establishment of database, ii) Selection of variables to develop prediction model, iii) Development of prediction model; iv) Conducting of hyperparameter tuning. The tree type algorithm is used to develop the prediction model. The results of this study are as follows. First, considering three variables related to environmental factor, the prediction accuracy was 85.74%. Second, the prediction accuracy was 86.55% when considering four environmental factors. Third, after conducting hyperparameter tuning, the prediction accuracy was increased up to 87.28%. This study has several contributions. First, using this prediction model, the thermal comfort can be calculated easily and quickly. Second, using this prediction model, the safety management can be utilized to manage the construction accident considering weather conditions.

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Physiological and psychological effects of nature-based outdoor activities on firefighters in South Korea

  • Sang-Eun Lee;Heon-Gyo Kwon;Jisu Hwang;Hyelim Lee;Dawou Joung;Bum-Jin Park
    • 농업과학연구
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    • 제51권1호
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    • pp.9-23
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    • 2024
  • This study investigates the physiological and psychological effects of a nature-based outdoor activity program in an environment reflecting the characteristics of forest and coastal areas on 30 firefighters (average age: 40.4 ± 9.8 years) who are frequently exposed to dangerous situations. Blood pressure, pulse pressure, and heart rate variability were used as physiological measurement indicators, and the Korean versions of PANAS (positive affect and negative affect schedule), WEMWBS (Warwick-Edinburgh mental well-being scale), and PRS (perceived restorativeness scale) were used as psychological measurement indicators. For four days and three nights, the participants experienced programs at Hallyeohaesang Nature Center and the surrounding mountains, seas, and islands, utilizing forest resources such as trekking on forest trails, walking barefoot, taking aromatic footbaths, meditating in forest oxygen domes, and lying on relaxation chairs, and programs utilizing marine resources such as taking a boat to an island, walking on forest trails with seascape views, and sailing on a yacht. Participants' systolic blood pressure and pulse pressure decreased, and participants' positive emotions increased and negative emotions decreased after the program. There was a statistically significant increase in mental well-being and perceived restorative environment. Through this study, it was found that nature-based outdoor activity programs based on forest and marine resources are effective in physiological and psychological stability of firefighters. It is hoped that the results of this study will be applied to other high-risk workers for PTSD, who have high stress levels, by combining forest healing and marine healing, and expanding the scope and diversity of programs in more diverse environments and conditions.

기능성의류 인식에 따른 소비자 분류와 이에 따른 제품정보 및 행택 활용도 연구 (Consumer Categorization Based on Perception of Functional Jacket and their Utilization of Functional Information and Hang-tag)

  • 방기성;유신정
    • 감성과학
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    • 제18권4호
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    • pp.75-86
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    • 2015
  • 본 연구는 기업과 소비자 간의 기능성 의류제품의 효과적인 정보소통을 목적으로 하는 일련의 연구 중 일부로 기능성 아웃도어 재킷에 대한 인식과 행동양식에 따라 응답자를 유형화하고 각 유형별 기능성 아웃도어 재킷 구매시 활용하는 정보원과 행택에 대한 행동의 차이를 고찰하였다. 설문조사는 기능성 아웃도어 재킷 구매 경험이 있는 20~60대 남, 녀 472명을 대상으로 실시하였다. 기능성 아웃도어 재킷에 대한 인식은 '기능성', '가격', '경험/지식', '브랜드/디자인' 요인으로 분류되었으며 요인에 따라 응답자들은 '비전문적/브랜드 및 디자인 추구집단', '전문적/기능성 중시집단', '고가제품 선호집단'으로 분류되었다. '비전문적/브랜드 및 디자인 추구집단'은 인터넷을 정보를 가장 많이 활용하는 20대, 30대의 회사원과 학생으로 구성되었으며 '전문적/기능성 중시집단'의 경우에는 행택(Hang-Tag)을 정보원으로 주로 사용하는 전문직의 40대, 50대가 주를 이루었다. '고가제품 선호집단'은 60대 이상, 주부의 비율이 가장 높은 집단으로 판매원을 정보원으로 주로 이용하는 것으로 나타났다. 기능성 정보제공에 사용된 용어에 대해 설명의 필요성을 가장 높게 인식하고 있는 집단은 '전문적/기능성 중시집단'이었으며 성능정보 관심도가 떨어지는 '비전문적/브랜드 및 디자인 추구집단'은 오히려 상대적 만족도가 높은 것으로 나타났다. 본 연구를 통해 기능성 재킷 소비자 유형의 특징과 성능 정보에 대한 반응의 차이를 고찰함으로써 기능성 의류제품의 성능 정보 제공을 위한 효과적인 방법과 내용에 대한 실질적이고 유용한 정보를 제공할 수 있을 것으로 기대한다.

항공기 기내 청소노동자의 분진, 초미세먼지(PM2.5) 및 블랙카본 노출수준 평가 (Exposure Assessment of Dust, Ultra Fine Dust(Particulate Matter 2.5, PM2.5) and Black Carbon among Aircraft Cabin Cleaners)

  • 박현희;김세동;김성호;박승현
    • 한국산업보건학회지
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    • 제33권2호
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    • pp.171-187
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    • 2023
  • Objectives: Aircraft cabin cleaning work is characterized by being performed within a limited time in a narrow and enclosed space. The objective of this study was to evaluate the exposure levels to dust, ultra fine dust(PM2.5) and black carbon(BC) among aircraft cabin cleaners. Methods: Active personal air sampling for respirable dust(n=73) and BC(n=47) was conducted during quick transit cleaning(cabin general and vacuum-specific) and seat cover replacement and total dust and PM2.5 were area-air-sampled as well. Also, size distribution of particle was identified with the cleaning workers targeted. Dusts were collected with PVC filters using gravimetric analysis. The concentration of PM2.5 and the particle size distribution were measured with real-time direct reading portable equipment using light scattering analysis. The concentration of BC was measured by aethalometer(filter-based real-time light absorption analysis instrument). Results: The geometric mean of respirable dust was the highest at vacuum cleaning as 74.4 ㎍/m3, following by replacing seat covers as 49.3 ㎍/m3 and cabin general cleaning as 47.8 ㎍/m3 . The arithmetic mean of PM2.5 was 4.83 ~ 9.89 ㎍/m3 inside the cabin, and 28.5~44.5 ㎍/m3 outside the cabin(from bus and outdoor waiting space). From size distribution, PM2.5/PM10 ratio was 0.54 at quick transit cleaning and 0.41 at replacing seat covers. The average concentration of BC was 2~7 ㎍/m3, showing a high correlation with the PM2.5 concentration. Conclusions: The hazards concentration levels of aircraft cabin cleaners were very similar to those of roadside outdoor workers. As the main source of pollution is estimated to be diesel vehicles operating at airports, and it is necessary to replace older vehicles, strengthen pollutant emission control regulations, and introduce electric vehicles. In addition, it is necessary to provide as part of airport-inftastructure a stable standby waiting space for aircraft cabin cleaners and introduce a systematic safety and health management system for all workers in the aviation industry.

The Color Arrangement of Working Clothes for Visibility in Machine Industrial Work Site

  • Park, Hyewon
    • 패션비즈니스
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    • 제17권3호
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    • pp.1-14
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    • 2013
  • This study is about the evaluation of the color arrangements of working clothes that are harmonized with working environment and assist in the protection of workers in industrial sites. This study attempted color arrangement design with the intention of giving order to the colors of working environment and working clothes so as to help improve the safety of work and the management aspects including human resource management, efficiency improvement, and the practice of business ethics. The study method consisted of literature research, empirical research, and evaluation research. The literature research performed theoretical examination about colors, industrial safety, and visibility. Three actual outdoor work sites in the machine industry were chosen and pictures were taken at 20-30 m from workers. The background colors of the work environment of each work site and the colors of the working clothes that were actually worn were analyzed through color values measured with a color-difference meter(CR-400). As a result, it was found that between value and chroma which affect visibility, color arrangement based on differences in chroma could be a greater influence than color arrangement based on differences in value. The results of this study could assist the integration of color schemes among working environment colors, people and working clothes by suggesting color arrangements with improved visibility that are applicable to the working clothes of domestic machine manufacturers that are playing a pivotal role in domestic industries and by presenting appropriate guidelines.

제철소 근로자의 벤젠/톨루엔/크실렌 국소환경 측정을 이용한 총 노출 예측 (Estimation of Total Exposure to Benzene, Toluene and Xylene by Microenvironmental Measurements for Iron Mill Workers)

  • 김영희;양원호;손부순
    • 한국환경보건학회지
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    • 제33권5호
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    • pp.359-364
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    • 2007
  • The aim of this study were to assess the personal exposure to volatile organic compounds (VOCs) and to estimate the personal exposure using time-weighted average model. Three target VOCs (benzene, toluene, xylene) were analyzed in personal exposure samples and residential indoor, residential outdoor and workplace indoor microenvironments samples in the iron mill 30 workers during working 5 days. Personal exposure to VOCs significantly correlated with workplace concentration p<0.05), suggesting workplace had strong source and major contribution to personal exposure. Personal exposure could be estimated with time activity pattern and time weighted average (TWA) model of residential indoor and workplace concentrations measured. Time weighted mean microenvironments concentrations were close approximately of personal exposure concentrations. Total exposure for participants can be estimated by TWA with microenvironments measurements and time activity pattern.

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

  • 김명호;신성우;서용윤
    • 한국안전학회지
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    • 제34권6호
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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.