• Structural Monitoring and Maintenance
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• 제4권4호
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• pp.331-350
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• 2017

Based on the alternative stabilization diagram by varying the time lag parameter in the stochastic subspace identification analysis, this study aims to investigate the measurements from several cases of civil structures for extending the applicability of a recently noticed criterion to ensure stable identification results. Such a criterion demands the time lag parameter to be no less than a critical threshold determined by the ratio of the sampling rate to the fundamental system frequency and is firstly validated for its applications with single measurements from stay cables, bridge decks, and buildings. As for multiple measurements, it is found that the predicted threshold works well for the cases of stay cables and buildings, but makes an evident overestimation for the case of bridge decks. This discrepancy is further explained by the fact that the deck vibrations are induced by multiple excitations independently coming from the passing traffic. The cable vibration signals covering the sensor locations close to both the deck and pylon ends of a cable-stayed bridge provide convincing evidences to testify this important discovery.

• International Journal of Advanced Culture Technology
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• 제8권1호
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• pp.207-212
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• 2020

The human centric lighting (HCL) control is a major focus point of the smart lighting system design to provide energy efficient and people mood rhythmic motivation lighting in smart buildings. This paper proposes the HCL control using indoor surveillance camera to improve the human motivation and well-beings in the indoor environments like residential and industrial buildings. In this proposed approach, the indoor surveillance camera video streams are used to predict the day lights and occupancy, occupancy specific emotional features predictions using the advanced computer vision techniques, and this human centric features are transmitted to the smart building light management system. The smart building light management system connected with internet of things (IoT) featured lighting devices and controls the light illumination of the objective human specific lighting devices. The proposed concept experimental model implemented using RGB LED lighting devices connected with IoT features open-source controller in the network along with networked video surveillance solution. The experiment results are verified with custom made automatic lighting control demon application integrated with OpenCV framework based computer vision methods to predict the human centric features and based on the estimated features the lighting illumination level and colors are controlled automatically. The experiment results received from the demon system are analyzed and used for the real-time development of a lighting system control strategy.

• 설비공학논문집
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• 제25권7호
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• pp.398-405
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• 2013

Small and medium-size buildings employ a multi-distributed individual air-conditioning system that utilizes package air conditioners instead of centralized cooling systems, which can allow easier building management and maintenance, along with a diversification of facility use. Inverter driven system heat pumps have been developed to achieve not only an easy distribution control, allowing free combination of indoor units with different models and different capacities, but also wide applications to intelligent air conditioning. However, the control algorithms of the system heat pump are limited in the open literature, due to complicated operating conditions. In this paper, an inverter-driven system heat pump having two indoor units with electronic expansion valves (EEV) was simulated in the cooling mode. An integral optimum regulating controller employing the state space control method was also simulated, and applied to the system-heat pump system, to obtain efficient control of the MIMO (multi input multi output) system. The simulation model for the controller yielded satisfactory prediction results. The new control model can be successfully utilized as a basic tool in controller design.

• Earthquakes and Structures
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• 제17권3호
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• pp.307-315
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• 2019

Building prediction and control theory have been drawing the attention of many scientists over the past few years because design and control efficiency consumes the most financial and energy. In the literature, many methods have been proposed to achieve this goal by trying different control theorems, but all of these methods face some problems in correctly solving the problem. The Evolutionary Bat (EB) Algorithm is one of the recently introduced optimization methods and providing researchers to solve different types of optimization problems. This paper applies EB to the optimization of building control design. The optimized parameter is the input to the fuzzy controller, which gives the status response as an output, which in turn changes the state of the associated actuator. The novel control criterion for guarantee of the stability of the system is also derived for the demonstration in the analysis. This systematic and simplified controller design approach is the contribution for solving complex dynamic engineering system subjected to external disturbances. The experimental results show that the method achieves effective results in the design of closed-loop system. Therefore, by establishing the stability of the closed-loop system, the behavior of the closed-loop building system can be precisely predicted and stabilized.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2008년도 정기학술발표대회 논문집
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• pp.99-105
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• 2008

초대형 건설공사에서 건설자재에 대한 물류관리는 성공적인 프로젝트 수행에 결정적 역할을 한다. 비효율적인 물류관리는 엄청난 비용의 자재 손실, 품질저하, 재시공 원인제공, 공기연장, 클레임 발생 등 여러 가지 리스크를 야기 시켜 결국 발주자와 시공사 모두에게 손해를 끼칠 뿐만 아니라 국가적으로도 큰 손실을 발생시킬 수 있지만, 효과적인 물류관리체계를 구축한다면 설계안이 까다롭고 발주자의 설계변경이 빈번하다 할지라도 프로젝트 리스크를 최소화시켜 자재 손실율을 최소화하고, 품질에 부합한 시공과 공기단축 등을 통해 발주자와 시공사 모두에게 상호 성공적인 프로젝트가 될 수 있을 것이다. 이에 본 연구에서는 도심지 초고층 건설과 같은 초대형 건설공사에서의 물류관리 문제점을 해결하기 위해 수행되고 있는 차세대 지능형 건설 물류관리 자동화 체계개발 연구에 대한 연구진행 주요 내용을 소개하고, 향후 건설산업에서 물류관리 방안의 비전을 제시하는 것에 그 연구의 목적이 있다.

• 한국화재소방학회논문지
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• 제24권2호
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• pp.162-171
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• 2010

산업의 발전에 따라 사회양상도 복잡 다양하게 변화하여 오고 생활의 편리함도 늘어났지만, 그에 따른 화재위험요인도 함께 증가하고 있다. 최근 국내 건축물 환경도 초고층화 인텔리전트(Intelligent)화 되어가면서 화재로 인한 인적 물적 손실은 계속적으로 증가하고 있어 과거보다 화재발생을 줄일 수 있는 제도적 장치를 보완하여야 한다. 본 연구의 목적은 특정소방대상물 관리제도에 대한 전반적인 운영 실태와 문제점을 도출하여 특정소방대상물의 방화관리 등급체계 개선방안을 제시하는데 있다. 개선방안으로는 화재 위험성 평가제도 도입, 가칭 "소방안전공사"의 신설, 특정소방대상물 방화관리등급 재분류, 초고층 및 지하심층 건축물에 방화관리자 신설 등이다.

• Journal of Positioning, Navigation, and Timing
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• 제8권1호
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• pp.31-40
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• 2019

In recent years, Intelligent Transport Systems (ITS) and Autonomous Vehicle Technology have actively studied around the world. In order to achieve the purpose of Advanced Driver Assistance System (ADAS) and Autonomous Vehicle Technology, it must be obtained accurate and reliable positioning. However, the problem of positioning in the urban area is a low position accuracy caused by the reduction of the number of visible satellites due to high buildings. In this paper, we analyzed the availability of precise positioning system in urban area are using GPS/BDS integrated system. For this study, GPS and BDS satellite signals were collected using two low-cost receivers in the open sky and a designed software based platform for precise positioning performance analysis. And we analyzed the precise positioning performance by changing the mask angle considering the urban area. From the results, it can be confirmed that the performance of precise positioning of GPS only and BDS only decrease in the environment where mask angle is $40^{\circ}$ to $45^{\circ}$, however, GPS/BDS integrated system maintains high performance of precise positioning.

• 한국콘텐츠학회논문지
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• 제9권12호
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• pp.64-76
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• 2009

최근 무선 통신 기술이 발달함에 따라 유비쿼터스 환경과 그와 관련된 실용화 기술에 대한 관심이 크게 고조되고 있다. 그리고 유비쿼터스의 개념이 기존 IT 분야에 접목되면서 유비쿼터스 환경을 근간으로 한 자동화 시스템의 필요성이 부각되고 있다. 또한, 환율 상승과 고유가로 인해 대형 건물과 공공 기관에서의 에너지 절약 방안 수립에 대한 필요성이 강력히 대두되고 있다. 본 논문에서는 RFID/USN 기술을 이용하여 에너지 절약을 위해 전등, 난방기 그리고 에어컨과 같은 건물 내 전자기기의 전력 소비를 효율적으로 관리하는 절전관리 시스템을 제안한다. 제안하는 시스템은 USN을 이용하여 전자기기에 대한 중앙 관리 및 상태 정보를 감시하고, USN을 이용하여 주변 환경 및 전력 소비에 대한 실시간 정보를 수집한다. 특히, 제안하는 시스템은 실시간 수집 된 정보를 분석하여 최상의 절전 효과를 가지는 지능형 스케줄러를 제공한다. 마지막으로, 본 논문은 제안하는 시스템을 다양한 환경에서 실험해 보고 기존 시스템과의 차별성과 현실성을 보인다.

• 한국화재소방학회논문지
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• 제20권4호
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• pp.131-134
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• 2006

현대 건축구조물의 다양화 등으로 화재 시 유독가스와 매연의 심각성과 공간적인 특수성으로 인하여 대형 참사로의 발전 위험성은 더욱 크다. 인명피해와 직접적으로 연결되는 피난 및 탈출에 있어서 조속한 대책 마련이 시급한 실정에 있다. 기존의 고정식 단방향 피난유도등은 효율적인 인명 대피 및 구조가 이루어지지 못하기 때문에 화재 발생 시 빠른 피난 및 이동이 가능하도록 화재감지기와 연동하여 위기에 처한 피난자들를 탈출시키고 또한 중앙통제시스템 내에서도 모든 통제가 가능하게 쌍방향 무선데이터 시스템으로 함으로 피난의 효율성 제고와 안전한 피난을 확보할 수 있다.

• International Journal of Computer Science & Network Security
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• 제24권4호
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• pp.87-106
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• 2024

Vehicle-to-Home (V2H) and Home Centralized Photovoltaic (HCPV) systems can address various energy storage issues and enhance demand response programs. Renewable energy, such as solar energy and wind turbines, address the energy gap. However, no energy management system is currently available to regulate the uncertainty of renewable energy sources, electric vehicles, and appliance consumption within a smart microgrid. Therefore, this study investigated the impact of solar photovoltaic (PV) panels, electric vehicles, and Micro-Grid (MG) storage on maximum solar radiation hours. Several Deep Learning (DL) algorithms were applied to account for the uncertainty. Moreover, a Reinforcement Learning HCPV (RL-HCPV) algorithm was created for efficient real-time energy scheduling decisions. The proposed algorithm managed the energy demand between PV solar energy generation and vehicle energy storage. RL-HCPV was modeled according to several constraints to meet household electricity demands in sunny and cloudy weather. Simulations demonstrated how the proposed RL-HCPV system could efficiently handle the demand response and how V2H can help to smooth the appliance load profile and reduce power consumption costs with sustainable power generation. The results demonstrated the advantages of utilizing RL and V2H as potential storage technology for smart buildings.