• Title/Summary/Keyword: Safety Blind Spot

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OBSERVABILITY-IN-DEPTH: AN ESSENTIAL COMPLEMENT TO THE DEFENSE-IN-DEPTH SAFETY STRATEGY IN THE NUCLEAR INDUSTRY

  • Favaro, Francesca M.;Saleh, Joseph H.
    • Nuclear Engineering and Technology
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    • v.46 no.6
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    • pp.803-816
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    • 2014
  • Defense-in-depth is a fundamental safety principle for the design and operation of nuclear power plants. Despite its general appeal, defense-in-depth is not without its drawbacks, which include its potential for concealing the occurrence of hazardous states in a system, and more generally rendering the latter more opaque for its operators and managers, thus resulting in safety blind spots. This in turn translates into a shrinking of the time window available for operators to identify an unfolding hazardous condition or situation and intervene to abate it. To prevent this drawback from materializing, we propose in this work a novel safety principle termed "observability-in-depth". We characterize it as the set of provisions technical, operational, and organizational designed to enable the monitoring and identification of emerging hazardous conditions and accident pathogens in real-time and over different time-scales. Observability-in-depth also requires the monitoring of conditions of all safety barriers that implement defense-in-depth; and in so doing it supports sensemaking of identified hazardous conditions, and the understanding of potential accident sequences that might follow (how they can propagate). Observability-in-depth is thus an information-centric principle, and its importance in accident prevention is in the value of the information it provides and actions or safety interventions it spurs. We examine several "event reports" from the U.S. Nuclear Regulatory Commission database, which illustrate specific instances of violation of the observability-in-depth safety principle and the consequences that followed (e.g., unmonitored releases and loss of containments). We also revisit the Three Mile Island accident in light of the proposed principle, and identify causes and consequences of the lack of observability-in-depth related to this accident sequence. We illustrate both the benefits of adopting the observability-in-depth safety principle and the adverse consequences when this principle is violated or not implemented. This work constitutes a first step in the development of the observability-in-depth safety principle, and we hope this effort invites other researchers and safety professionals to further explore and develop this principle and its implementation.

DEVELOPMENT OF ROBUST LATERAL COLLISION RISK ASSESSMENT METHOD (측후방 충돌 안전 시스템을 위한 횡방향 충돌 위험 평가 지수 개발)

  • Kim, Kyuwon;Kim, Beomjun;Kim, Dongwook;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.5 no.1
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    • pp.44-49
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    • 2013
  • This paper presents a lateral collision risk index between an ego vehicle and a rear-side vehicle. The lateral collision risk is designed to represent a lateral collision risk and provide the appropriate threshold value of activation of the lateral collision management system such as the Blind Spot Detection(BSD). The lateral collision risk index is designed using the Time to Line Crossing(TLC) and the longitudinal collision index at the predicted TLC. TLC and the longitudinal collision index are calculated with the signals from the exterior sensor such as the radar equipped on the rear-side of a vehicle and a vision sensor which detects the distance and time to the lane departure. For the robust situation assessment, the perception of driving environment determining whether the road is straighten or curved should be determined. The relative motion estimation method has been proposed with the road information via the integrated estimator using the environment sensors and vehicle sensor. A lateral collision risk index was composed with the estimated relative motion considering the relative yaw angle. The performance of the proposed lateral collision risk index is investigated via computer simulations conducted using the vehicle dynamics software CARSIM and Matlab/Simulink.

Design for Safety System get On or Off the Kindergarten Bus using User Authentication based on Deep-learning (딥러닝 기반의 사용자인증을 활용한 어린이 버스에서 안전한 승차 및 하차 시스템 설계)

  • Mun, Hyung-Jin
    • Journal of Convergence for Information Technology
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    • v.10 no.5
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    • pp.111-116
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    • 2020
  • Recently, many safety accidents involving children shuttle buses take place. Without a teacher for help, a safety accident occurs when the driver can't see a child who is getting off in the blind spot of both frontside and backside. A deep learning-based smart mirror allows user authentication and provides various services. Especially, It can be a role of helper for children, and prevent accidents that can occur when drivers or assistant teachers do not see them. User authentication is carried out with children's face registered in advance. Safety accidents can be prevented by an approximate sensor and a camera in frontside and backside of the bus. This study suggests a way of checking out whether children are missed in the process of getting in and out of the bus, designs a system that reduce blind spots in the front and back of the vehicle, and builds a safety system that provide various services using GPS.

The survey study on working conditions and industrial safety & health of foreign workers (외국인근로자의 근로환경 및 안전보건실태 조사 연구)

  • Yi, Kwan-Hyung;Cho, Hm-Hak
    • Journal of the Korea Safety Management & Science
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    • v.14 no.1
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    • pp.53-63
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    • 2012
  • The purpose of this study is to grasp foreign worker's industrial safety and health state, which find out the improvement to secure the basic safety net for foreign workers. We have investigated 2,050 workers through direct interviews during the period from April 12, 2010 to May 31, 2010. And the result of analysis, foreign worker's daily average working time is 10.6 hours(40.8% workers in total work 10~12 hours), the extent of exposure to harmful and dangerous working environment is 'the position which cause pain in neck, waist, hands, shoulders, legs'(69.3%), 'repetitive hands and arms movement'(66.1%). It showed 'experience of accident damage or disease related work'(27.3%), 'never apply for industrial accident compensation' is revealed high at 73%. As a result of completing a safety health education for a year, it showed 'never educated'(40.2%), 'the institute that foreign workers have used for help and advice is the foreign worker's support center'(61.9%) Thus, hiring foreign workers in the company are small in site, the environment is too harmful and dangerous. In addition, no safety and health managers, legally blind spot located in the health and safety, because it is an urgent meet for these measures to improve.

Dangerous tanker fire fighting measures (위험물 탱크로리 화재진압 방안)

  • Lee, Jung-Il
    • Proceedings of the Safety Management and Science Conference
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    • 2012.11a
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    • pp.215-223
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    • 2012
  • Or maybe moving dangerous goods tanks of motorists excluded from the scope of the supervision of the fire department and fire prevention education as a blind spot on the part of a large party evidence of markers of contamination loading of dangerous goods according to the type of education that can be handled only by preparing the institutional arrangements accident is blocking the moving path of Dangerous Goods moving tanks and loading dangerous goods on fire budget move the path that corresponds to the report received by securing the extinguishing agent is required to neutralize the ash and fire suppression and repression through skills training from large disasters in advance blocking devices should prepare that will.

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Traffic Accident Analysis using Doppler Effect of the Horn (경적음의 도플러 효과를 이용한 교통사고분석)

  • Choi, Youngsoo;Kim, Jonghyuk;Yun, Yongmun;Park, Jongchan;Park, Hasun
    • Journal of Auto-vehicle Safety Association
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    • v.12 no.4
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    • pp.70-77
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    • 2020
  • In this study, we estimate the vehicle speed by analyzing the acoustic data recorded in a single microphone of a surveillance camera. The frequency analysis of the acoustic data corrects the Doppler effect, which is a characteristic of the moving sound source, and reflects the geometric relationship according to the location of the sound source and the microphone on the two-dimensional plane. The acoustic data is selected from the horn sound that is mainly observed in an urgent situation among various sound sources that may occur in a traffic accident, and the characteristics of the monotone source are considered. We verified the reliability of the proposed method by time domain acoustic analysis and actual vehicle evaluation. This method is effective and can be used for traffic accident analysis in the blind spot of the camera using a single microphone built into the existing surveillance camera.

Safety device design for preventing pedestrian accidents (보행자 교통사고 예방용 거리측정 및 무선 전송장치 설계)

  • Park, Soo-Bin;Sung, Min-Gwan;Yun, Sang-Seok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.161-163
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    • 2022
  • In spite of the recent enforcement of policies to reduce traffic accidents, pedestrian safety accidents on the back road continue to occur. In this paper, we propose a device design to prevent traffic accidents capable of measuring distance and wireless communication to quickly notify pedestrians of the vehicle's approach in a safety blind spot. The accuracy of vehicle and pedestrian distance measurement was tested using ultrasonic and radar sensors with a wide sensing range, and the possibility of responding to accidents that could provide safety for pedestrians in emergency situations was verified through a wireless communication connectivity test between target boards.

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Development of Chatbot Self-Inspection Scenario for Structural Safety of Existing Reinforced Concrete Buildings (챗봇 활용 철근콘크리트 건축물 구조안전 자가점검 시나리오 개발에 관한 연구)

  • Yang, Jaekwang;Kang, Taewook;Shin, Jiuk
    • Journal of the Earthquake Engineering Society of Korea
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    • v.27 no.6
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    • pp.331-337
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    • 2023
  • Due to the aging of a building, 38.8% (about 2.82 million buildings) of the total buildings are old for more than 30 years after completion and are located in a blind spot for an inspection, except for buildings subject to regular legal inspection (about 3%). Such existing buildings require users to self-inspect themselves and make efforts to take preemptive risks. The scope of this study was defined as the general public's visual self-inspection of buildings and was limited to structural members that affect the structural stability of old buildings. This study categorized possible damage to reinforced concrete to check the structural safety of buildings and proposed a checklist to prevent the damage. A damage assessment methodology was presented during the inspection, and a self-inspection scenario was tested through a chatbot connection. It is believed that it can increase the accessibility and convenience of non-experts and induce equalized results when performing inspections, according to the chatbot guide.

Measures to Reduce Traffic Accidents in School Zones using Artificial Intelligence

  • Park, Moon-Soo;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.162-164
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    • 2022
  • Efforts are being made to prevent traffic accidents within the child protection zone. Efforts are being made to prevent accidents by enacting safety facilities and laws to prevent traffic accidents in the school zone. However, traffic accidents in school zones continue to occur. If the driver can know the situation in the child protection zone in advance, accidents can be reduced. In this paper, we design a camera that eliminates blind spots in school zones and a number recognition camera system that can collect pre-traffic information. Design a LIDAR system that recognizes vehicle speed and pedestrians. Design an LED guidance system that delivers information to drivers without smart devices. We study time series analysis and artificial intelligence algorithms that collect and process pedestrian and vehicle information recognized by cameras and LIDAR. In the artificial intelligence traffic accident prevention system learned by deep learning, before entering the school zone, the school zone information is sent to the driver through the Force Push Service and the school zone information is delivered to the driver on the LED sign. try to reduce accidents.

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A Study on the Prevention and Extinguishment of Fire in Vinyl Temporary Buildings for Agriculture and Fishery (농·어업용 Vinyl 가설건축물의 화재 예방 및 진압에 관한 연구)

  • Bong-Woo Lee;Kyong-Jin Park
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.4_2
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    • pp.599-603
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    • 2023
  • Analyzed in the NFDS, The average number of fires in vinyl temporary buildings is more than 1,000 in annually. And the number of deaths and injuries was around 30 people in every year. According to the National Fire Agency, There are 142,386 vinyl temporary buildings for Agriculture and Fishery, of which 4,720 are residential vinyl temporary buildings in illegally. Model house is subject to regulation in fire-related law. But, even though it's the same temporary building, Vinyl temporary building is not subject to regulation. For this reason, Vinyl temporary buildings are left in the blind spot of fire safety. Therefore, In this study, We propose that amend of Act on installation and management of firefighting systems, make of temporary fire safety controller, develop and apply of alarm system that is connected to a single-alarm smoke dretector, organize and operate volunteer fire brigade of the crop group to prevent and extinguish the fire.