• Title/Summary/Keyword: smart construction technology

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Recent Developments and Field Application of Foreign Waterworks Automatic Meter Reading (국외 상수도 원격검침시스템의 개발 동향 및 현장 적용 사례 고찰)

  • Joo, Jin Chul;Ahn, Hosang;Ahn, Chang Hyuk;Ko, Kyung-Rok;Oh, Hyun-Je
    • Journal of Korean Society of Environmental Engineers
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    • v.34 no.12
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    • pp.863-870
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    • 2012
  • The market trends of automatic meter reading associated with smart water meters were investigated. Also, recent developments and field applications of key technology for automatic meter reading associated with smart water meters were analyzed. Smart water meters have been manufactured mostly in United States and Europe and have been expanded their business to Asia. Integrated water management system combining with the additional functions such as real-time consumption metering, cost notification, water conservation, leak detection, water quality monitoring, and flow control have been operated in automatic meter reading. Both water quality and quantity data measured from smart water meters and sensors were transferred to data concentration units through neighborhood area network, and then were transferred to integrated server through wide area network. The data transfer methods were determined by comprehensively considering urban scale, density of smart water meters, power supply and network topologies. Common data collection methods such as fixed network to data concentation units, vehicles drive by, people walk by, and drone fly by have been applied. The automatic meter reading associated with smart water meters are spread throughout the world, and both water and energy savings result in saving the money and reducing the greenhouse gases emission.

A Study on Smart Factory Construction Method for Efficient Production Management in Sewing Industry

  • Kim, Jung-Cheol;Moon, Il-Young
    • Journal of information and communication convergence engineering
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    • v.18 no.1
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    • pp.61-68
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    • 2020
  • In the era of the fourth industrial revolution, many production plants are gradually evolving into smart factories that apply information and communication technology to manufacturing, distribution, production, and quality management. The conversion from conventional factories to smart factories has resulted in the automation of production sites using the internet and the internet of things (IoT) technology. Thus, labor-intensive production can easily collect necessary information. However, implementing a smart factory required a significant amount of time, effort, and money. In particular, labor-intensive production industries are not automated, and productivity is determined by human skill. A representative industry of such industries is sewing the industry. In the sewing industry, wherein productivity is determined by the operator's skills. This study suggests that production performance, inventory management and product delivery of the sewing industries can be managed efficiently with existing production method by using smart buttons incorporating IoT functions, without using automated machinery.

Crack Detection Technology Based on Ortho-image Using Convolutional Neural Network (합성곱 신경망을 이용한 정사사진 기반 균열 탐지 기법)

  • Jang, Arum;Jeong, Sanggi;Park, Jinhan;, Kang Chang-hoon;Ju, Young K.
    • Journal of Korean Association for Spatial Structures
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    • v.22 no.2
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    • pp.19-27
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    • 2022
  • Visual inspection methods have limitations, such as reflecting the subjective opinions of workers. Moreover, additional equipment is required when inspecting the high-rise buildings because the height is limited during the inspection. Various methods have been studied to detect concrete cracks due to the disadvantage of existing visual inspection. In this study, a crack detection technology was proposed, and the technology was objectively and accurately through AI. In this study, an efficient method was proposed that automatically detects concrete cracks by using a Convolutional Neural Network(CNN) with the Orthomosaic image, modeled with the help of UAV. The concrete cracks were predicted by three different CNN models: AlexNet, ResNet50, and ResNeXt. The models were verified by accuracy, recall, and F1 Score. The ResNeXt model had the high performance among the three models. Also, this study confirmed the reliability of the model designed by applying it to the experiment.

A Study on the Modular Coordination for the Smart Home (스마트 홈의 공간모듈시스템 구축에 관한 연구)

  • Kim, Nam-Suk;Park, Hee-Ryoung;Kim, Yong-Seong
    • Korean Institute of Interior Design Journal
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    • v.15 no.5 s.58
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    • pp.149-156
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    • 2006
  • The Smart Home and the Home Networking industry have growth rate in 53.9% per year, and many nations appoint it as a nation's developing industry to research and invest. As KS, a standard composing smart instruments for smart home, maintain systematically in every year, and in other side construction standardization only in way to indicate, but never has national standard. Based on the Modular Coordination(MC) the framing standard of design drawing was examined in every year, and in same way for making the framing standard about Smart Home there need making a Modular Coordination(MC) at first. This investigation recognize the necessity about the modular that will be the base of architectural space which control the smart instruments. And aimed at indicating smart modular through the research about modular of the existing residence space and survey about the applicable smart technology.

Development of Pointcloud Data Integration Technology in Construction Sites via Drone Photogrammetry and MMS LiDAR (드론 및 MMS를 활용한 건설현장 점군 데이터 통합 기술 개발)

  • Jae-Woo Park;Dong-Jun Yeom
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.6_2
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    • pp.1145-1153
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    • 2023
  • This study presents the development of pointcloud data integration technology in construction sites via drone photogrammetry and MMS LiDAR. The integration of pointcloud data from drones and MMS technology can provide precise and accurate 3D digital maps of construction sites, which can benefit the development of smart construction and BIM. The advantages of using both drones and MMS technology for pointcloud data acquisition in construction sites are discussed, along with the limitations and challenges of using drone photogrammetry and MMS LiDAR for pointcloud data integration. The results of this study can contribute to the advancement of pointcloud data integration technology in construction sites and improve the efficiency and accuracy of construction projects.

Smart Information Monitoring Technology (스마트 정보 모니터링 기술)

  • Kang, Man-Mo;Lee, Dong-Hyung;Koo, Ja-Rok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.6
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    • pp.225-233
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    • 2010
  • Recently, in the field of Smart Grid, Smart Home Network, Ubiquitous Computing, etc. we have continued to study Smart Information Monitoring Technology(SIMT) which exchange, control and monitor information collected and processed by need in real-time and two-way. In this paper, we understand application products or recent trends of SIMT for Energy, U-Farm, Vehicle Information and Home Network. Specially, we explain Google PowerMeter which exchange information with Smart Meter of core part of the smart grid at real-time, Real-time Monitoring System(RMS) for U-Farm, RMS for vehicle status Information. we subscribe Smart Information Monitoring Technology application based on ZigBee of low price, low power or related work. Finally we subscribe actual proof construction situation of Jesu for smart grid.

Investigation of Technical Requirements for a Protective Shield with Lunar Regolith for Human Habitat (월면토를 이용한 달 유인 우주기지 보호층의 기술적 요구조건에 관한 연구)

  • Lee, Jangguen ;Gong, Zheng;Jin, Hyunwoo ;Ryu, Byung Hyun;Kim, Young-Jae
    • Journal of the Korean Geotechnical Society
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    • v.39 no.10
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    • pp.49-55
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    • 2023
  • The discovery of lunar ice in the lunar polar region has fueled international interest in in situ resource utilization (ISRU) and the construction of lunar habitats. Unlike Earth's atmosphere, the Moon presents unique challenges, including frequent meteoroid impacts, direct exposure to space radiation, and extreme temperature variations. To safeguard lunar habitats from these threats, the construction of a protective shield is essential. Lunar regolith, as a construction material, offers distinct advantages, reducing transportation costs and ensuring a sustainable supply of raw materials. Moreover, it streamlines manufacturing, integration schedules, and enables easy repairs and modifications without Earth resupply. Adjusting the shield's thickness within the habitat's structural limits remains feasible as lunar conditions evolve. Although extensive research on protective shields using lunar regolith has been conducted, unresolved conflicts persist regarding shield requirements. This study conducts a comprehensive analysis of the primary lunar threats and suggests a minimum shield thickness of 2 m using lunar regolith. Furthermore, it outlines the necessary technology for the rapid construction of such protective shields.

Collision Avoidance Sensor System for Mobile Crane (전지형 크레인의 인양물 충돌방지를 위한 환경탐지 센서 시스템 개발)

  • Kim, Ji-Chul;Kim, Young Jea;Kim, Mingeuk;Lee, Hanmin
    • Journal of Drive and Control
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    • v.19 no.4
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    • pp.62-69
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    • 2022
  • Construction machinery is exposed to accidents such as collisions, narrowness, and overturns during operation. In particular, mobile crane is operated only with the driver's vision and limited information of the assistant worker. Thus, there is a high risk of an accident. Recently, some collision avoidance device using sensors such as cameras and LiDAR have been applied. However, they are still insufficient to prevent collisions in the omnidirectional 3D space. In this study, a rotating LiDAR device was developed and applied to a 250-ton crane to obtain a full-space point cloud. An algorithm that could provide distance information and safety status to the driver was developed. Also, deep-learning segmentation algorithm was used to classify human-worker. The developed device could recognize obstacles within 100m of a 360-degree range. In the experiment, a safety distance was calculated with an error of 10.3cm at 30m to give the operator an accurate distance and collision alarm.

Using Survey information of BIM-applied Project - Construction Industry Specialist Interview - (스마트 건설에서 디지털 측량정보의 활용)

  • Jo, Jae-Hee;Choi, Young-Woo;Lee, Ji-Woo;Kim, Hwan-Yong
    • Journal of KIBIM
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    • v.10 no.3
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    • pp.33-42
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    • 2020
  • Recently, in the smart construction field, it is possible to construct spatial information of 3D data base quickly and accurately using drones, LiDARs and ARs,. Most public ordering institutions are pushing for the efficiency of construction work through establishing and announcing road maps and guidelines for utilizing BIM for the entire life cycle of construction. However, in most policies, the impact of 3D data on the entire life cycle is limited by only partially constructing and utilizing 3D data or by being mentioned. In addition, many public institutions, construction companies and planning companies did not actively utilize survey information during the actual construction phase, despite the possibility of using 3D survey information. In order to confirm the utilization of survey information, a total of eight private construction companies were selected and interviewed by experts. The analysis shows that most of companies lack the performance of drone measurements or have a lack of awareness of advantages, and among them, construction companies are relatively active. Based on these opinions, this study examined the usability of surveying information and examined measures to expand the utilization of survey information in legal and institutional aspects, technology development aspects and industrial development.

Assessment of DTVC Operation Efficiency for the Simulation of High Vacuum and Cryogenic Lunar Surface Environment (고진공 및 극저온 달의 지상 환경 재현을 위한 지반열진공챔버 운영 효율성 평가)

  • Jin, Hyunwoo;Chung, Taeil;Lee, Jangguen;Shin, Hyu-Soung;Ryu, Byung Hyun
    • Journal of the Korean Geotechnical Society
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    • v.38 no.12
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    • pp.125-134
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    • 2022
  • The Global Expansion Roadmap published by the International Space Exploration Coordination Group, which is organized by space agencies around the world, presents future lunar exploration guidance and stresses a lunar habitat program to utilize lunar resources. The Moon attracts attention as an outpost for deep space exploration. Simulating lunar surface environments is required to evaluate the performances of various equipment for future lunar surface missions. In this paper, an experimental study was conducted to simulate high vacuum pressure and cryogenic temperature of the permanent shadow regions in the lunar south pole, which is a promising candidate for landing and outpost construction. The establishment of an efficient dirty thermal vacuum chamber (DTVC) operation process has never been presented. One-dimensional ground cooling tests were conducted with various vacuum pressures with the Korean Lunar Simulant type-1 (KLS-1) in DTVC. The most advantageous vacuum pressure was found to be 30-80 mbar, considering the cooling efficiency and equipment stability. However, peripheral cooling is also required to simulate a cryogenic for not sublimating ice in a high vacuum pressure. In this study, an efficient peripheral cooling operation process was proposed by applying the frost ratio concept.