• Title/Summary/Keyword: Elevator failures and accidents

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Derivation of Safety Management Implications through Analysis of Major Elevator Failures (승강기 중대고장 분석을 통한 안전관리 시사점 도출)

  • Kim, Beom-Sang;Park, Poem
    • Journal of the Korea Safety Management & Science
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    • v.22 no.3
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    • pp.23-29
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    • 2020
  • As the duty to report and investigate major elevator failures has expanded due to the total amendment of the Elevator Safety Management Act in 2018, more important information on major elevator failures that have been partially identified has been collected. As of 2019, the number of elevators in Korea exceeded 700,000, making it the eighth-class elevator powerhouse in the world, but there is a trend of increasing casualties due to accidents and breakdowns. An Seung-gang-gi is a term that encompasses an elevator that moves vertically and an escalator that moves horizontally. It is an important means of transportation for most citizens that are encountered almost every day in daily life, and it is also necessary as a means of transportation that enables the construction of skyscrapers. And it seems that its importance will never diminish in the future. Major elevator failures are the main cause of dispatch when accumulating the number of 119 dispatches, and the frequency of occurrence is high. It's a shame. According to Heinrich's Law, 300 minor signs and danger phenomena precede, 29 minor accidents and 1 major accident. Accidents caused by elevators are increasing every year due to the increase in the number of installations, and the damage is threatening the valuable lives and property of users and workers in related fields due to fatal risks such as death and serious injury. Elevator safety management can achieve its purpose only when it is managed with the usual interests, awareness of safety, and full efforts of the users, workers, and the government concerned. This study was analyzed based on 2019 data notified to the Korea Elevator Safety Agency on major breakdowns improved after the revision of the Elevator Safety Management Act in 2018, and a total of 8,256 data were analyzed using the SPSS 21 version, a statistical analysis tool, to analyze the correlation with technical statistics. Proceeded. Through the analysis, it was possible to obtain preventive safety management data to prevent serious elevator safety accidents from occurring, and to derive meaningful implications that related safety management and maintenance can be effectively operated to prevent serious failures. In addition, through this analysis, we expect the development of related industries and legal and institutional improvement.

Elevator Fault Classification Using Deep Learning Model (딥러닝 모델을 활용한 승강기 결함 분류)

  • Young-Jin, Jung;Chan-Young, Jang;Sung-Woo, Kang
    • Journal of the Korea Safety Management & Science
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    • v.24 no.4
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    • pp.1-8
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    • 2022
  • Elevators are the main means of transport in buildings. A malfunction of an elevator in operation may cause in convenience to users. Furthermore, fatal accidents, such as injuries and death, may occur to the passengers also. Therefore, it is important to prevent failure before accidents happen. In related studies, preventive measures are proposed through analyzing failures, and the lifespan of elevator components. However, these methods are limited to existing an elevator model and its surroundings, including operating conditions and installed environments. Vibration occurs when the elevator is operated. Experts have classified types of faults, which are symptoms for malfunctions (failures), via analyzing vibration. This study proposes an artificial intelligent model for classifying faults automatically with deep learning algorithms through elevator vibration data, hereby preventing failures before they occur. In this study, the vibration data of six elevators are collected. The proposed methodology in this paper removes "the measurement error data" with incorrect measurements and extracts operating sections from the input datasets for proceeding deep learning models. As a result of comparing the performance of training five deep learning models, the maximum performance indicates Accuracy 97% and F1 Score 97%, respectively. This paper presents an artificial intelligent model for detecting elevator fault automatically. The users' safety and convenience may increase by detecting fault prior to the fatal malfunctions. In addition, it is possible to reduce manpower and time by assisting experts who have previously classified faults.

Classification of Elevator Failure Using The Analysis of Failure Case (승강기 고장 사례 분석을 통한 고장분류)

  • Kim, Nak-Hoon;Jeong, Byung-Ho
    • Journal of the Korea Safety Management & Science
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    • v.16 no.3
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    • pp.209-218
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    • 2014
  • An accident related with elevators can cause death or serious injury of operators or passengers. This kind of a fatal accident is due to a failure of elevator. The reduction of failures of elevators is important to reduce the occurrence of elevator accident. Thus, this paper presents the results of analysis for the failure of elevators using the failure data of elevator. The results of analysis can be used to make a maintenance process of elevators.

Determination of Key Factors and Evaluation of Their Importance in the Elevator Safety Quality Rating System for the Purpose of Adjusting the Elevator Inspection Cycle (승강기 검사주기 조정을 위한 안전품질 등급제 핵심항목 선정 및 중요도 평가)

  • Kyung-Min Roh;Kwan-Hee Han
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.4
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    • pp.70-78
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    • 2022
  • Recently, elevator inspection and self-examination were strengthened through the revision of the Elevator Safety Management Act, but there have been no significant reduction in serious accidents and major failures. Therefore, the government intends to lay the foundation for reflecting the safety quality rating system, which adjusts the elevator inspection cycle, as a policy to induce safety management of preemptive and active management entities. This study systematically reviewed and classified the safety quality rating system for elevator inspection cycle adjustment in previous studies, collected expert opinions, and reconstructed the key items into realistic evaluation items, and evaluated and scored the relative importance of each factor through the AHP technique.

A Study on the Estimation of the Optimum Lifetime of Elevator Components for Elevator Accident Prevention (엘리베이터 사고예방을 위한 승강기 부품의 최적 수명 추정에 관한 연구)

  • Kim, Han-jin;Hwang, Min-soo;Choi, Og-man;Lee, An-ki;Kim, Jae-chul
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.8
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    • pp.1278-1284
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    • 2017
  • As of December 2016, there are 608,828 elevators in operation in Korea and 179,790 elevators in more than 15 years. 30.4% of all elevator are aging. Improved maintenance of the elevator and proactive replacement of the parts of the elevator can extend the lifetime of the elevator and ensure safety. An unclean environment reduces the lifetime of elevator parts. If you do not clean the environment and prevent preventive parts replacement, eventually shortening the lifetime of the parts connected to the failed part or causing more damage will result in greater economic loss. Also, the risk of elevator safety accidents due to failures of elevator parts will be increased accordingly. The study of optimum replacement time of elevator parts will contribute to prevention of safety accident of elevator and prolongation of lifetime of elevator through preventive replacement of elevator parts.