• Title/Summary/Keyword: 가스작업 이미지

Search Result 8, Processing Time 0.022 seconds

Deep Learning(CNN) based Worker Detection on Infrared Radiation Image Analysis (딥러닝(CNN)기반 저해상도 IR이미지 분석을 통한 작업자 인식)

  • Oh, Wonsik;Lee, Ugwiyeon;Oh, Jeongseok
    • Journal of the Korean Institute of Gas
    • /
    • v.22 no.6
    • /
    • pp.8-15
    • /
    • 2018
  • worker-centered safety management for hazardous areas in the plant is required. The causes of gas accidents in the past five years are closely related to the behavior of the operator, such as careless handling of the user, careless handling of the suppliers, and intentional, as well as equipment failure and accident of thought. In order to prevent such accidents, real-time monitoring of hazardous areas in the plant is required. However, when installing a camera in a work space for real-time monitoring, problems such as human rights abuse occur. In order to prevent this, an infrared camera with low resolution with low exposure of the operator is used. In real-time monitoring, image analysis is performed using CNN algorithm, not human, to prevent human rights violation.

Gas Safety Monitoring App. Development Design for Gas Workers (가스작업자를 위한 실시간 가스안전 모니터링 앱개발 디자인)

  • Lee, Joo ah;Kim, MI-Hye
    • Journal of the Korea Convergence Society
    • /
    • v.9 no.10
    • /
    • pp.61-67
    • /
    • 2018
  • This study covers the results obtained after three years of development work of real - time gas safety monitoring app. In order to reduce the risk of accidents in the gas workplace, it is essential to provide information so that operators can recognize the location of dangerous substances, dangerous facilities, safety procedures, and the temperature and humidity of the workplace. Therefore, this study was conducted to develop a monitoring app that allows the main system to efficiently receive the information in the field where the information is continuously updated. As a result of quantitative and qualitative research and analysis on app scenarios based on the research done in the past and web screen of the main system, it was modified and improved in terms of ease of use, readability, and intuitiveness. Especially, we made many improvements at low depth, which is a sub-area of ease of use. As a result of conducting a user satisfaction survey on the finally derived app scenarios, the average score of 98.5 was obtained in terms of functionality, convenience and readability.

Work Type Classification of Gas Safety Workers and Interaction Function Design for IoT-based App. Development (가스안전 작업자들의 IoT 기반 앱 개발을 위한 작업유형 분류 및 인터랙션 기능설계)

  • Lee, Joo ah;Kim, MI-Hye
    • Journal of the Korea Convergence Society
    • /
    • v.8 no.5
    • /
    • pp.45-52
    • /
    • 2017
  • In this paper, we investigated the following items for the development of gas safety work mobile app. In this study, which is a follow-up study after the completion of the scenario design and the first, second image extraction of the mobile app based on the initial research that has been studied, 1) Suggested classification of gas works by type classification and risk classification 2) The research and proposal of interaction method for effective interworking of mobile app and worker in many industrial fields of two-hand work have been made. In particular, the development of a mobile app that interacts with the main system that manages not only the gas work but also the field of each industrial field is the first attempt in Korea and has helped the worker to work freely and safely through various interaction methods.

A Study on Application Design Scenarios for the Gas Safety Field Workers -focused on the pipe work- (가스 작업 안전 앱 시나리오 설계에 대한 연구 -배관 작업을 중심으로-)

  • Lee, Jooah;Kim, Mi-Hye;Kang, Bong Hee
    • Journal of Digital Convergence
    • /
    • v.14 no.5
    • /
    • pp.273-281
    • /
    • 2016
  • The issue about the safety management of gas related work has been studied toward a direction to utilize IoT system recently. For this purpose, the matters of user's demand has been deduced through the literature survey, field survey, and professional consultation, by studying the characteristics of worker, work, and work site. In summary, these are the demands for mobile App, 1)a clear arrangement of contents, 2)a design with high readability, 3)a design with low death, 4) securing of user's accessibility, 5)an effective information transmission plan in the work section where it is impossible to operate the mobile device, 6)an activation of alarm function at the section of high working error, 7)a fast two-way transmission and receipt of safety inspection matter needed at work, 8)a selection of images and contents that can guide the situation to the worker in case of accident, 9)an alarm function for the degree of danger in an area of worker's location. Based on these, a basic design of safety application for gas related work has been proposed, that can secure the user accessibility.

A study on the development of Gas-Vent Automatic Exchange Machine with Vision System (영상정보를 이용한 가스벤트자동교환 장치)

  • Kwon, Jang-Woo;Hong, Jun-Eui;Yoon, Dong-Eop;Kil, Gyung-Suk;Lee, Dong-Hoon;Lee, Dong-Hoon
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.11 no.6
    • /
    • pp.1141-1149
    • /
    • 2007
  • This paper describes two major techniques; image processing and gas vent insert and rejection control, for efficient gas vent exchange and holes detecting on the shoes mold. The key idea is to detect holes on the mold to select which holes to insert and to reject automatically guide center of hole's position. This allows us to save labor time while minimizing defective rate of PU shoes mold forming and production costs for gas vent exchange such as insertion and rejection.. Our experimental results have demonstrated that the hole's detection and gasvent exchange mechanism are more efficient and provide accurate mechanism to mitigate risks of vent injection/rejection failures.

Implementation of the Alert System for Safety of Workers (근로자의 안전을 위한 경보시스템 구현)

  • Kim, In-Min;Ko, Bong-Jin
    • Journal of Advanced Navigation Technology
    • /
    • v.15 no.6
    • /
    • pp.1138-1142
    • /
    • 2011
  • This paper proposes the Alert System, the purpose of which is to detect an accident and to take care of it quickly in a working place. In the previous studies, a wireless network system was suggested using 'Star Topology'. However, this study constructs the wireless network system of Peer-to-Peer Topology, which allows to build more efficient network for communication. Also, with this system it is possible to check other the worker's situation through double sensing with Temperature/Gas sensor and Inclination sensor. In order to take action quickly, the Alert System is using a monitoring program which visualizes a worker's situation and the area where an accident occurs.

A Hierarchical Grid Alignment Algorithm for Microarray Image Analysis (마이크로어레이 이미지 분석을 위한 계층적 그리드 정렬 알고리즘)

  • Chun Bong-Kyung;Jin Hee-Jeong;Lee Pyung-Jun;Cho Hwan-Gue
    • Journal of KIISE:Software and Applications
    • /
    • v.33 no.2
    • /
    • pp.143-153
    • /
    • 2006
  • Microarray which enables us to obtain hundreds and thousands of expression of gene or genotype at once is an epoch-making technology in comparative analysis of genes. First of all, we have to measure the intensity of each gene in an microarray image from the experiment to gain the expression level of each gene. But it is difficult to analyze the microarray image in manual because it has a lot of genes. Meta-gridding method and various auto-gridding methods have been proposed for this, but thew still have some problems. For example, meta-gridding requires manual-work due to some variations in spite of experiment in same microarray, and auto-gridding nay not carried out fully or correctly when an image has a lot of noises or is lowly expressed. In this article, we propose Hierarchical Grid Alignment algorithm for new methodology combining meta-gridding method with auto-gridding method. In our methodology, we necd a meta-grid as an input, and then align it with the microarray image automatically. Experimental results show that the proposed method serves more robust and reliable gridding result than the previous methods. It is also possible for user to do more reliable batch analysis by using our algorithm.

A Framework for Digitalizing Handwritten Document using Digital Pen and Handwriting Recognition Technology (디지털펜과 필기체인식 기술을 이용한 수기문서 전자화 프레임워크)

  • Son, Bong-Ki;Kim, Hak-Joon
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.12 no.3
    • /
    • pp.1417-1426
    • /
    • 2011
  • Business still relies heavily on pen and paper for legal reasons or convenience. The handwritten document is to be converted into digitalized document for IT system to manage and process in real time. Because the previous document digitalization systems convert the handwritten documents into digitalized documents by scanning and post-processing the documents, it is difficult to seamlessly proceed the work process. This paper proposes the LiveForm, a framework for digitalizing handwritten document using digital pen and handwriting recognition technology. To prove the applicability of the proposed LiveForm, we also implement a LiveForm based service in industrial gas distribution process and analyze effects of the system. The LiveForm generates the same digital image as the handwritten document by writing up the paper with absolute coordinates by digital pen and converts the handwriting data to digital text to insert the information into back-end system. The LiveForm based system eliminates scanning for document digitalization and data input with keyboard into back-end system in paper-based information gathering. Therefore, it is possible for the LiveForm to improve work process in various business areas.