• Title/Summary/Keyword: Building automation system

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A Study on Building Automation System using Embedded Web Server (임베디드 웹서버를 이용한 빌딩자동화시스템에 관한 연구)

  • Bae Yong-Guen;Kim Hyeong-Gyun;Jung Il-Yong;Kim Yong-Ho;Lee Ye-Jin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.7
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    • pp.1208-1213
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    • 2006
  • A micro embedded did the task to be simply the sequent at the past. The necessity of an embedded operating system did not exist in the reason. We satisfy the complication of the system and operating system have been desired for the officer of the process. The necessity of the process of real-time processing increased also with fast response time to users, The porting follows and have been composed of an real-time embedded operating system. We can control the control unit with the sensor to be established in the building, An embedded web sever to use the resource of the at least is appering a networking facility of interaction. In this paper, The web sever to be implemented in a purity software. We draw data for the thing to implement overall demo to the remote through Internet and We put the point even though we organized the frame to control this. we have successfully ported linux on an embedded system, which is based on intel StrongARM SA-1110 processor, then written several network modules of ethernet-based network device.

Implementation and Verification Analysis of Micro-EMS for Controlling EES (EES 제어를 위한 Micro-EMS 구현 및 실증 분석)

  • Kim, Kwang-Ho;Kim, Gyu-Sik
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.1
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    • pp.155-161
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    • 2015
  • The energy storage system is actively used as the widespread of smart grid. In the case of large scale EES, it can be efficiently controlled linked with BEMS or BAS. But, in the case of EES installed in a small sized household, it needs the help of the remote control system because it lacks the expert for controlling and operating of EES. In addition, in the case when the solar energy generation and EES are installed at the same time, a small sized EMS which can be efficiently controlled depending on the solar energy generation or electric power load is needed. In this paper, the EMS which can efficiently control the solar power generation as well as EES installed in a small sized household is implemented and its usefulness is verified through some experimental studies.

New Control System Aspects for Supporting Complex Data and High Performance System

  • Yoo, Dae-Seung;Tan, Vu Van;Yi, Myeong-Jae
    • Journal of Computing Science and Engineering
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    • v.2 no.4
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    • pp.394-411
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    • 2008
  • The data in automation and control systems can be achieved not only from different field devices but also from different OPC (OLE for Process Control) servers. However, current OPC clients can only read and decode the simple data from OPC servers. They will have some problems to acquire structured data and exchange the structured data. In addition to the large network control systems, the OPC clients can read, write, and subscribe to thousands of data points from/to OPC servers. Due to that, the most important factor for building a high performance and scalable industrial control system is the ability to transfer the process data between server and client in the most efficient and fastest way. In order to solve these problems, we propose a means to implement the OPC DA (Data Access) server supporting the OPC complex data, so that the OPC DA clients are able to read and decode any type of data from OPC servers. We also propose a method for caching the process data in large industrial control systems to overcome the limitation of performance of the pure OPC DA system. The performance analysis and discussion indicate that the proposed system has an acceptable performance and is feasible in order for applying to real-time industrial systems today.

CPS(Cyber Physical System) & Research Opportunities for MIS (CPS(Cyber Physical System)와 MIS의 연구기회 탐색)

  • Choi, Moo-Jin;Park, Jong-Pil
    • The Journal of Information Systems
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    • v.26 no.4
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    • pp.63-85
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    • 2017
  • Purpose Recently, much attention in building smart factory has dramatically increased with an emergence of the Industry 4.0. As we noted a connectivity gap between main concerns of MIS and the automated manufacturing systems such as POP and MES, it is recommended that CPS (Cyber-Physical System) can be an important building block for the smart factory and enrich the depth of MIS knowledge. Therefore, first, this study attempted to identify the connectivity gap between the traditional field of MIS (ERP, SCM, CRM, etc.) and the automated manufacturing systems, and then recommended CPS as a technical bridge to fill the gap. Secondly, we studied concepts and research trend of CPS that is believed to be a virtual mechanism to manage manufacturing systems in an integrated manner. Finally, we suggested research and educational opportunities in MIS based on the CPS perspectives. Design/methodology/approach Since this paper introduced relatively new idea of CPS originally discussed in the field of engineering, traditional MIS research method such as survey and experiment may not fit well. Therefore this research collected technical cases through literature survey in engineering fields, video clips from Youtube, and field references from various ICT Exhibitions and Conventions. Then we analyzed and reorganized them to highlight the necessity of CPS and draw some insight to share with MIS academia. Findings This paper introduced CPS to bridge the connectivity gap between the traditional MIS and automated manufacturing system (smart factory), a concern far away from the MIS academia. Further, this paper suggested future research subjects of MIS such as developing software to share big production data and systems to support manufacturing decisions, and innovating MIS curricula including smart and intelligent manufacturing technology within the context of traditional enterprise systems.

A Study on the Development of App Ecosystem based Smart Home

  • Moon, Junsik;Park, Chan Young
    • Architectural research
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    • v.18 no.1
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    • pp.13-20
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    • 2016
  • Smart Home has achieved remarkable developments over the past few decades. In the ICT(Information and Communications Technology) field, 'app ecosystem'-a collection of multiple devices such as mobile phones and tablets, software (operating system and development tools), companies (manufacturers, carriers, app-stores, etc.) and the process through which data is transferred/shared by a user from one device to another device or by the device itself-has come into wide use since the advent of the smart phone. Due to the synergy effect of the 'app ecosystem', it has been applied to various fields such as televisions and automobile industries. As a result, both the Smart TV and connected vehicle have developed their own ecosystem. Although much research has been conducted on these two ecosystems, there is a lack of research regarding 'App Ecosystem based Smart Home' (AESH). This research focuses on the building scenarios based on 'Tracking, Analyzing, Imaging, Deciding, and Acting (T.A.I.D.A), a future prediction method process. Rather than taking an approach from the perspective of providing and applying advanced technology for research on building future scenarios, this paper focuses on research from the perspective of architectural planning. As a result, two future scenarios of AESH are suggested.

A Basic Study for Development of Automatic Arrangement Algorithm of Tower Crane using drawing recognition (도면인식을 이용한 타워크레인 위치선정 자동화 알고리즘 개발 기초연구)

  • Lim, Chaeyeon;Lee, Donghoon;Han, Kyung Bo;Kim, Sunkuk
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2015.11a
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    • pp.64-65
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    • 2015
  • As construction projects have increased in size and height recently, lifting accounts for increasingly greater portion and tower cranes are used more frequently. At present, the selection and arrangement of tower crane are depend on the experience of experts. However, since the number of experts is fairly limited and a database for tower cranes regarding lifting capacity, operation properties, rent, etc has not been widely employed, tower cranes are often not effectively selected and arranged which can cause cost overruns and delays in the lifting work. To address such issues, this study attempts to perform a basic study for development of automatic arrangement algorithm of tower crane using drawing recognition. If relevant database is established and the algorithm suggested in this study is refined more systematically, even beginning level engineers will be able to plan tower crane arrangement in a way comparable to experienced experts.

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Development of Sensor and Signal Duplicator for Building Automation (빌딩 자동제어용 센서 및 신호의 듀플리케이터(Duplicator) 개발)

  • Jang, Kyeong-Uk;Lee, Yong-Min;Lee, Seung-Ho
    • Journal of IKEEE
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    • v.20 no.2
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    • pp.184-187
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    • 2016
  • In this paper, we propose the sensor and the signal duplicator for the automatic building control. Developed duplicator realizes the sensor data collection apparatus and mimics the measured data and, thus, reduces the construction cost by using logical communication layer. Furthermore, the system supports the open protocols and can be associated with HMI(Human Machine Interface) used on the market. Developed duplicator is proved to be functional within the real environment. Measurement error rate, operating temperature, and operating humidity show very good results by the certified testing apparatus and organization.

Development of an Energy Management Algorithm for Smart Energy House (스마트에너지하우스 구현을 위한 에너지 수요관리 알고리즘의 개발)

  • Jeon, Jeong-Pyo;Kim, Kwang-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.3
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    • pp.515-524
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    • 2010
  • Recently, many actions are taking to accelerate progress toward social consensus and implementation of Smart Grid. Smart Grid refers to a evolution of the electricity supply infrastructure that monitors, protects, and intelligently optimize the operation of the interconnected elements including various type of generators, power grid, building/home automation system and end-use consumers. The most distinguished element will be Advanced Metering Infrastructure (AMI) that will be installed to every end-use consumer's home or building and optimize the energy consumption of the end-use consumer. The key function of AMI is energy management capability that coordinates and optimally controls the various loads according to the operating condition and environments. In this study, we figure out the basic function of AMI in Smart Energy House that can be defined as a model house implementing in Smart Grid. This paper proposes the energy management algorithm that will be implemented in AMI at Smart Energy House. The paper also show how energy saving in Smart Energy House can be achieved applying the proposed algorithm to an actual house model that has mainly lighting, air-conditioning, TV loads.

Field Test of Automated Activity Classification Using Acceleration Signals from a Wristband

  • Gong, Yue;Seo, JoonOh
    • International conference on construction engineering and project management
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    • 2020.12a
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    • pp.443-452
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    • 2020
  • Worker's awkward postures and unreasonable physical load can be corrected by monitoring construction activities, thereby increasing the safety and productivity of construction workers and projects. However, manual identification is time-consuming and contains high human variance. In this regard, an automated activity recognition system based on inertial measurement unit can help in rapidly and precisely collecting motion data. With the acceleration data, the machine learning algorithm will be used to train classifiers for automatically categorizing activities. However, input acceleration data are extracted either from designed experiments or simple construction work in previous studies. Thus, collected data series are discontinuous and activity categories are insufficient for real construction circumstances. This study aims to collect acceleration data during long-term continuous work in a construction project and validate the feasibility of activity recognition algorithm with the continuous motion data. The data collection covers two different workers performing formwork at the same site. An accelerator, as well as portable camera, is attached to the worker during the entire working session for simultaneously recording motion data and working activity. The supervised machine learning-based models are trained to classify activity in hierarchical levels, which reaches a 96.9% testing accuracy of recognizing rest and work and 85.6% testing accuracy of identifying stationary, traveling, and rebar installation actions.

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GNSS-Based PHC Pile Cutting Position Sensing Methodology (GNSS 기반 PHC 파일 절단위치 센싱 방법론에 관한 연구)

  • Cho, Se-Hyun;Yoou, Geon-Hee;Kim, Jun-Sang;Lee, Jun Ho;Hur, Je;Kim, Young Suk
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2023.05a
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    • pp.387-388
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    • 2023
  • PHC pile head cutting is an essential work in pile foundation construction. However, since the work has labor-intensive characteristics, there are problems such as productivity and safety. So in previous study PHC pile one-cutting head cutting automation equipment was developed to solve this problem. However, it has been investigated as a limitation that checking the cutting position of the PHC pile can be challenging in place where a rotary laser leveler cannot irradiate cutting position, as the sensing unit of the developed automated equipment utilizes an optical method. Therefore, the objective of this study is to delvelop a GNSS-based methodology for sensing the cutting position of PHC piles to overcome the limitations of the optical method and to examine its feasibility for field application. If the proposed methodology is applied to the construction site, it is expected that the convenience and productivity of the PHC pile cutting position sensing work will be improved.

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