• Title/Summary/Keyword: Inspection and monitoring system

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Network Camera for CMOS Camera Module Inspection (CMOS 카메라 모듈 검사를 위한 네트워크 카메라)

  • 신은철;최병욱
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.809-813
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    • 2004
  • In this paper, we developed a network camera for CMOS camera module inspection. The design, implementation details including embedded linux porting and CPLD logics, and performance of network camera are described. The network camera consists of SoC(S3C4530A), CPLD and CMOS image sensor. In order to image data of CMOS image sensor we designed capture logics on CPLD by using VHDL program. Embedded Linux such as uClinux is performed on the network camera to utilize development environment and TCP/IP protocol specification. The application is based on socket communication between GUI on PC and Embedded Linux based network camera. When JPEG compression is applied, the transmission speed was improved enough for this system to be used for an alternative of expensive CCTV or remote monitoring system in a power plant and uninhabited places.

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Development of Integrated Corrosion Monitoring and Control System (통합 부식 모니터링 및 통합 제어 시스템의 개발)

  • Yoo, Nam-Hyun;Kim, Young-Hun
    • Journal of Ocean Engineering and Technology
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    • v.27 no.3
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    • pp.8-14
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    • 2013
  • Although there are various factors that threaten the security of ships, one of the most harmful is corrosion. It is not easy to find corroding areas and the status of corrosion, even though corrosion causes serious problems such as submergence and marine pollution as a result of leaking oil and polluted water. To monitor the corrosion of ships, non-destructive inspection, weight loss coupons, electrical resistance, linear polarization resistance, zero resistance ammeter, and electrochemical impedance spectroscopy have been developed. However, these methods require much time to detect corrosion, and most are not appropriate for real time monitoring. Coating, sacrificial anode, and impressed current cathodic protection (ICCP) methods have been developed to control corrosion. The ICCP and sacrificial anode methods are the most popular ways to prevent ship corrosion. However, ICCP is only appropriate for the outside of a ship and cannot be used for complex structures such as ballast tanks because these are composed of many separate chambers. Sacrificial anodes have to be replaced periodically. This paper proposes an integrated corrosion monitoring and control system (ICMCS) that can detect corrosion in real time and is appropriate for complex structures such as ballast tanks. Because the system uses titanium for an anode, exhausted anodes do not need to be replaced.

Correlation Extraction from KOSHA to enable the Development of Computer Vision based Risks Recognition System

  • Khan, Numan;Kim, Youjin;Lee, Doyeop;Tran, Si Van-Tien;Park, Chansik
    • International conference on construction engineering and project management
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    • 2020.12a
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    • pp.87-95
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    • 2020
  • Generally, occupational safety and particularly construction safety is an intricate phenomenon. Industry professionals have devoted vital attention to enforcing Occupational Safety and Health (OHS) from the last three decades to enhance safety management in construction. Despite the efforts of the safety professionals and government agencies, current safety management still relies on manual inspections which are infrequent, time-consuming and prone to error. Extensive research has been carried out to deal with high fatality rates confronting by the construction industry. Sensor systems, visualization-based technologies, and tracking techniques have been deployed by researchers in the last decade. Recently in the construction industry, computer vision has attracted significant attention worldwide. However, the literature revealed the narrow scope of the computer vision technology for safety management, hence, broad scope research for safety monitoring is desired to attain a complete automatic job site monitoring. With this regard, the development of a broader scope computer vision-based risk recognition system for correlation detection between the construction entities is inevitable. For this purpose, a detailed analysis has been conducted and related rules which depict the correlations (positive and negative) between the construction entities were extracted. Deep learning supported Mask R-CNN algorithm is applied to train the model. As proof of concept, a prototype is developed based on real scenarios. The proposed approach is expected to enhance the effectiveness of safety inspection and reduce the encountered burden on safety managers. It is anticipated that this approach may enable a reduction in injuries and fatalities by implementing the exact relevant safety rules and will contribute to enhance the overall safety management and monitoring performance.

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Probabilistic Safety Analysis of Cable-Stayed Bridge Using Measured Data (계측데이터를 이용한 사장교의 확률적 안전도 분석)

  • Yoon, Man-Geun;Cho, Hyo-Nam
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.12 no.3
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    • pp.175-182
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    • 2008
  • In this paper, through the study and consideration of the recently prominent monitoring of cable stayed-bridge, practical but reasonable suggested for the evaluation of the probabilistic safety of the bridges using probable measured data from monitoring measurement system. It is shown in the paper that the live load effects can be evaluated using measured data of cable-stayed bridge and this the realistic probabilistic safety of the cable-stayed bridge could be assessed in term of element reliability and system reliability. As a practical method for the evalution of the system reliability of system cable-stayed bridges partial ETA method is uesd, which can find the critical failure path including combined failure modes of cable, deck and pylon. Compared with the conventional safety analysis method, the propsed approach may be considered as the practical method that shows the considerably actual and reasonable results the system redundancy of the structure.

Development of Robotic Inspection System over Bridge Superstructure (교량 상판 하부 안전점검 로봇개발)

  • Nam Soon-Sung;Jang Jung-Whan;Yang Kyung-Taek
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.180-185
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    • 2003
  • The increase of traffic over a bridge has been emerged as one of the most severe problems in view of bridge maintenance, since the load effect caused by the vehicle passage over the bridge has brought out a long-term damage to bridge structure, and it is nearly impossible to maintain operational serviceability of bridge to user's satisfactory level without any concern on bridge maintenance at the phase of completion. Moreover, bridge maintenance operation should be performed by regular inspection over the bridge to prevent structural malfunction or unexpected accidents front breaking out by monitoring on cracks or deformations during service. Therefore, technical breakthrough related to this uninterested field of bridge maintenance leading the public to the turning point of recognition is desperately needed. This study has the aim of development on automated inspection system to lower surface of bridge superstructures to replace the conventional system of bridge inspection with the naked eye, where the monitoring staff is directly on board to refractive or other type of maintenance .vehicles, with which it is expected that we can solve the problems essentially where the results of inspection are varied to change with subjective manlier from monitoring staff, increase stabilities in safety during the inspection, and make contribution to construct data base by providing objective and quantitative data and materials through image processing method over data captured by cameras. By this system it is also expected that objective estimation over the right time of maintenance and reinforcement work will lead enormous decrease in maintenance cost.

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Construction Monitoring for Steel Truss Bridge Widening Works (강 트러스교 확장공사시 시공중 계측)

  • Lee, Chang Soo;Jang, Jeong Hwan;Yi, Jang Seok;Kim, Nam Hong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.9 no.2
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    • pp.103-112
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    • 2005
  • This study examines the stability of Sungsu bridge which was issued nine years ago because of its collapse accident and now is on the progress of extension work in each construction stage by construction monitoring system. From this study, the measured value in each construction stage of anchorage truss and suspended truss shows the agreement with the analytical values up to 60~110 percents, and the elements' stresses emanating from the pre-loading stage, are also similar to the analytical value. Regarding these results, it is expected that each member has enough stiffness and the construction condition is satisfactory. In addition, it is expected that the transverse members and sway bracing bolts integrate completely the existing truss and new attached truss as a one body from the result of the vibration test to find out the integration rates.

An Analysis of Electric Noise of Railway Electric Inspection Car Measurement Module (종합검측차 검측모듈의 차상노이즈 분석)

  • Park, Young;Kwon, Sam-Young;Cho, Chul-Jin;Chae, Won Kyu;Lee, Jae-Hyeong
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.5
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    • pp.812-816
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    • 2015
  • Recently, various monitoring systems have been proposed to detect interaction performance between trains and infrastructure, as well as, various techniques to improve the accuracy and performance of such inspection equipment in high speeds. Especially, it is important to predict electric noise of high speed trains due to its effect on detection system accuracy. In this paper, we analyze various types of electrical noise in electric vehicles to improve the accuracy of the detection module of the inspection car. In detail, analysis of electric noise of high speed railway is performed as a function of speed based on field tests that were carried out by HEMU-430X (Highspeed Eletric Multiple Unit - 430 km/h eXperiment).

Efficiency Test for Low Electric Power Type and MEMS Based 3-axis Accelerometer (저전력 MEMS 기반 3축 가속도계의 성능 시험)

  • Lee, Byeung-Leul;Lee, Seung-Jae;Moon, Dae-Joong;Jung, Jin-Woo
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.18 no.1
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    • pp.160-165
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    • 2014
  • In this study, an efficiency test was performed by fabricating MEMS (Micro Electro Mechanical Systems) based 3-axis acceleration sensor modules and an earthquake monitoring system was composed. Data acquisition device (NI-9239) with a 24bit ADC (Analog to Digital Converter) was used for improving the performance of 3-axis acceleration sensor modules and filtered data (100Hz Low Pass Filter) was used for reducing noises. Also this paper focused on detecting meaningful vibration in the building by developing the earthquake monitoring software. If vector sum of 3-axis acceleration is greater than the preset value, the value will be recorded and saved to the file.

Development and Its Application of Dam Safety Management Technology (댐 안전관리 기술의 개발 및 활용 현황)

  • Shin, Dong-Hoon;Park, Han-Gyu
    • Proceedings of the Korean Geotechical Society Conference
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    • 2008.10a
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    • pp.234-246
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    • 2008
  • 최근 기상이변과 빈번한 지진발생 및 기타 내외적 요인에 의한 노화/열화 등으로 인하여 댐 안전관리 문제가 국가의 재난관리 차원에서 주요 이슈가 되고 있다. 이에 본 논문에서는 기존 댐에 대한 안전관리를 효율적으로 수행할 수 있도록 하기 위해 개발된 댐 안전관리 시스템(Dam Safety Management System)의 세부구성 및 기능 등에 대하여 소개하고, 향후 선진화된 댐 안전관리를 위해 보완되어야 할 부분에 대한 제언을 하였다.

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A vision-based system for inspection of expansion joints in concrete pavement

  • Jung Hee Lee ;bragimov Eldor ;Heungbae Gil ;Jong-Jae Lee
    • Smart Structures and Systems
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    • v.32 no.5
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    • pp.309-318
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    • 2023
  • The appropriate maintenance of highway roads is critical for the safe operation of road networks and conserves maintenance costs. Multiple methods have been developed to investigate the surface of roads for various types of cracks and potholes, among other damage. Like road surface damage, the condition of expansion joints in concrete pavement is important to avoid unexpected hazardous situations. Thus, in this study, a new system is proposed for autonomous expansion joint monitoring using a vision-based system. The system consists of the following three key parts: (1) a camera-mounted vehicle, (2) indication marks on the expansion joints, and (3) a deep learning-based automatic evaluation algorithm. With paired marks indicating the expansion joints in a concrete pavement, they can be automatically detected. An inspection vehicle is equipped with an action camera that acquires images of the expansion joints in the road. You Only Look Once (YOLO) automatically detects the expansion joints with indication marks, which has a performance accuracy of 95%. The width of the detected expansion joint is calculated using an image processing algorithm. Based on the calculated width, the expansion joint is classified into the following two types: normal and dangerous. The obtained results demonstrate that the proposed system is very efficient in terms of speed and accuracy.