• Title/Summary/Keyword: 스마트건설기계

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Topic modeling and topic change trend analysis for advanced construction technologies (건설신기술에 대한 토픽 모델링 및 토픽 변화추이 분석)

  • Jeong, Seong Yun;Kim, Nam Gon
    • Smart Media Journal
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    • v.10 no.4
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    • pp.102-110
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    • 2021
  • Currently, the advanced construction technology endorsement system is being operated to promote the development of domestic construction technology. We tried to examine the implicit meanings inherent in advanced construction technologies by analyzing the relationship between emerging vocabularies with high importance in relation to the advanced construction technologies endorsed through this system. For this purpose, 918 cases of advanced construction technology information were collected. Based on the endorsed year and summary of the advanced construction technologies, the importance of the emerging vocabularies was measured for each advanced construction technology. And, based on the LDA model, the degree of influence between related vocabularies was evaluated for each of the four topic areas. Topics according to the technical application fields were analyzed. From 1990 to 2021, the trend of changes in highly influential vocabularies by each topic was inferred. In the future, changes in the degree of influence of the topics of environment, machinery, facilities, and maintenance and reinforcement of structures and related technology fields were predicted.

A Study on the Introduction and Application of Core Technologies of Smart Motor-Graders for Automated Road Construction (도로 시공 자동화를 위한 스마트 모터 그레이더의 구성 기술 소개 및 적용에 관한 연구)

  • Park, Hyune-Jun;Lee, Sang-Min;Song, Chang-Heon;Cho, Jung-Woo;Oh, Joo-Young
    • Tunnel and Underground Space
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    • v.32 no.5
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    • pp.298-311
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    • 2022
  • Some problems, such as aging workers, a decreased population due to a low birth rate, and shortage of skilled workers, are rising in construction sites. Therefore research for smart construction technology that can be improved for productivity, safety, and quality has been recently developed with government support by replacing traditional construction technology with advanced digital technology. In particular, the motor grader that mainly performs road surface flattening is a construction machine that requires the application of automation technology for repetitive construction. It is predicted that the construction period will be shortened if the construction automation technology such as trajectory tracking, automation work, and remote control technology is applied. In this study, we introduce the hardware and software architecture of the smart motor grader to apply unmanned and automation technology and then analyze the traditional earthwork method of the motor grader. We suggested the application plans for the path pattern and blade control method of the smart motor grader based on this. In addition, we verified the performance of waypoint-based path-following depending on scenarios and the blade control's performance through tests.

Construction and Operation of Small Solar Plant Using Smart-Off-Grid: Case of Tanzania-Korea Innovative Technology and Energy Center (스마트-독립전력망을 사용한 소규모 태양광 발전소의 건설과 운영: 한국-탄자니아 적정기술 거점센터의 사례)

  • Kim, Jisoo;Jung, Woo-Kyun;Ha, Bo-Ra;Moon, Ji-Hyun;Rhee, Herb;Ahn, Sung-Hoon
    • Journal of Appropriate Technology
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    • v.5 no.2
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    • pp.62-69
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    • 2019
  • Supplying stable electric power is one of the important objectives of the Official Development Assistance (ODA) because it is strongly related with improving living standards and income levels in the region. However, rural areas in many developing countries are not properly connected to national power grids, and even areas connected to national power grids are frequently blacked out due to limitations in power capacity. These lack of electric power is a major obstacle to improving income levels and improving living standards in those areas. The Korea-Tanzania Innovative and Energy Center (iTEC), which was established by Seoul National University in cooperation with the Nelson-Mandela Africa Institute of Science and Technology and Technology (NM-AIST) try to build a small solar power plant using a smart-off grid in rural area of Tanzania, where there is no electricity. 10 kW and 7 kW solar power plants are built in Mkalama Village in Kilimanajaro Region and Ngurdoto Village in Arusha Region to provide power to about 50 households each. In addition, smart monitoring systems were installed to collect data about status of power system and power consumption of each house. iTEC seeks for sustainable improvement the income level and quality of life of rural residents in developing countries through the construction of small solar power plants using smart-off grid, and the implementation of various connected projects.

How to build an AI Safety Management Chatbot Service based on IoT Construction Health Monitoring (IoT 건축시공 건전성 모니터링 기반 AI 안전관리 챗봇서비스 구축방안)

  • Hwi Jin Kang;Sung Jo Choi;Sang Jun Han;Jae Hyun Kim;Seung Ho Lee
    • Journal of the Society of Disaster Information
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    • v.20 no.1
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    • pp.106-116
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    • 2024
  • Purpose: This paper conducts IoT and CCTV-based safety monitoring to analyze accidents and potential risks occurring at construction sites, and detect and analyze risks such as falls and collisions or abnormalities and to establish a system for early warning using devices like a walkie-talkie and chatbot service. Method: A safety management service model is presented through smart construction technology case studies at the construction site and review a relevant literature analysis. Result: According to 'Construction Accident Statistics,' in 2021, there were 26,888 casualties in the construction industry, accounting for 26.3% of all reported accidents. Fatalities in construction-related accidents amounted to 417 individuals, representing 50.5% of all industrial accident-related deaths. This study suggests implementing AI chatbot services for construction site safety management utilizing IoT-based health monitoring technologies in smart construction practices. Construction sites where stakeholders such as workers participate were demonstrated by implementing an artificial intelligence chatbot system by selecting major risk areas within the workplace, such as scaffolding processes, openings, and access to hazardous machinery. Conclusion: The possibility of commercialization was confirmed by receiving more than 90 points in the satisfaction survey of participating workers regarding the empirical results of the artificial intelligence chatbot service at construction sites.