• Title/Summary/Keyword: Supply System Components

Search Result 345, Processing Time 0.029 seconds

Follow-Up Survey Fire Truck Deterioration (소방자동차 노후화에 따른 고장 발생원인 추적조사 연구)

  • Lee, Jang-Won;Kim, Eui-Tae;Rie, Dong-Ho
    • Fire Science and Engineering
    • /
    • v.29 no.3
    • /
    • pp.59-64
    • /
    • 2015
  • This study analyzed results of the causes of failure in 1,022 fire trucks currently being used in South Korea (aerial ladder, aerial platform, pumper, and chemical fire trucks). The results show that 46% of aerial ladder trucks have defective in the elevator brake systems, 29% of aerial platform trucks have contamination in the hydraulic oil, 37% of pumpers have defective in the pneumatic cylinders of the air supply system, and 39% of chemical fire trucks have defective in the powder fire extinguishing systems. The principal reasons for malfunctions are deterioration of the apparatuses, and accumulated fatigue from repetitive use of certain components, such as pneumatic cylinders in the air supply system and wire rope jamming in rollers in the ladder apparatus. These manufacturing defects should be improved upon in the manufacturing process. As a result, the fire trucks, which are used for 5 years or more, need precise inspections in accordance with the Regulation on Fire Apparatus Maintenance. Fire apparatuses have a service life of 10 to 12 years or more. They need to be replaced or require life extension, and they should be kept in top shape with the best maintenance for public safety.

Analysis of Paddy Rice Water Footprint under Climate Change Using AquaCrop (AquaCrop을 이용한 기후변화에 따른 미래 논벼 물발자국 변화 분석)

  • Oh, Bu-Yeong;Lee, Sang-Hyun;Choi, Jin-Yong
    • Journal of The Korean Society of Agricultural Engineers
    • /
    • v.59 no.1
    • /
    • pp.45-55
    • /
    • 2017
  • Climate change causes changes in rainfall patterns, temperature and drought frequency. Climate change impact influences on water management and crop production. It is critical issue in agricultural industry. Rice is a staple cereal crop in South Korea and Korea uses a ponding system for its paddy fields which requires a significant amount of water. In addition, water supply has inter-relationship with crop production which indicates water productivity. Therefore, it is important to assess overall impacts of climate change on water resource and crop production. A water footprint concept is an indicator which shows relationship between water use and crop yield. In addition, it generally composed of three components depending on water resources: green, blue, grey water. This study analyzed the change trend of water footprint of paddy rice under the climate change. The downscaled climate data from HadGEM3-RA based on RCP 8.5 scenario was applied as future periods (2020s, 2050s, 2080s), and historical climate data was set to base line (1990s). Depending on agro-climatic zones, Suwon and Jeonju were selected for study area. A yield of paddy rice was simulated by using FAO-AquaCrop 5.0, which is a water-driven crop model. Model was calibrated by adjusting parameters and was validated by Mann-Whitney U test statistically. The means of water footprint were projected increase by 55 % (2020s), 51 % (2050s) and 48 % (2080s), respectively, from the baseline value of $767m^2/ton$ in Suwon. In case of Jeonju, total water footprint was projected to increase by 46 % (2020s), 45 % (2050s), 12 % (2080s), respectively, from the baseline value of $765m^2/ton$. The results are expected to be useful for paddy water management and operation of water supply system and apply in establishing long-term policies for agricultural water resources.

Analysis of Loss of Offsite Power Transient Using RELAP5/MODl/NSC; I: KNU1 Plant Transient Simulation (RELA5/MOD1/NSC를 이용한 원자력 1호기 외부전원상실사고해석 - I. 실제사고해석)

  • Kim, Hho-Jung;Chung, Bub-Dong;Lee, Young-Jin;Kim, Jin-Soo
    • Nuclear Engineering and Technology
    • /
    • v.18 no.2
    • /
    • pp.97-106
    • /
    • 1986
  • System thermal-hydraulic parameters and simulated, using the best-estimate system code(RELAPS/MODl/NSC), based upon the sequence of events for the KNU1 (Korea Nuclear Unit 1) loss of offsite power transient at 77.5% power which occurred on June 9,1981. The results are compared with the actual plant transient data and show good agreements. After the flow coastdown following the trips of both reactor coolant pumps, the establishment of natural circulation by the temperature difference between the hot and the cold legs is confirmed. The calculated reactor coolant flowrate closely approximates the plant data indicating the validity of relevant thermal-hydraulic models in the RELAP5/MOD1/NSC. Results also show that the sufficient heat removal capability is secured by the appropriate supply of the auxiliary feedwater without the operation of S/G PORVs. In addition, a scenario accident at full power, based upon the same sequence of events described above, is also analysed and the results confirmed that the safety of KNU1 is secured by the appropriate operation of the S/G PORVs coupled with the supply of auxiliary feedwater which ensures sufficient heat removal capability. The characteristics of the non-safety related components such as the turbine stop valve closing time, S/G PORV settings etc. are recognized to be important in the transient analyses on a bestestimate basis.

  • PDF

Comparative analysis of linear model and deep learning algorithm for water usage prediction (물 사용량 예측을 위한 선형 모형과 딥러닝 알고리즘의 비교 분석)

  • Kim, Jongsung;Kim, DongHyun;Wang, Wonjoon;Lee, Haneul;Lee, Myungjin;Kim, Hung Soo
    • Journal of Korea Water Resources Association
    • /
    • v.54 no.spc1
    • /
    • pp.1083-1093
    • /
    • 2021
  • It is an essential to predict water usage for establishing an optimal supply operation plan and reducing power consumption. However, the water usage by consumer has a non-linear characteristics due to various factors such as user type, usage pattern, and weather condition. Therefore, in order to predict the water consumption, we proposed the methodology linking various techniques that can consider non-linear characteristics of water use and we called it as KWD framework. Say, K-means (K) cluster analysis was performed to classify similar patterns according to usage of each individual consumer; then Wavelet (W) transform was applied to derive main periodic pattern of the usage by removing noise components; also, Deep (D) learning algorithm was used for trying to do learning of non-linear characteristics of water usage. The performance of a proposed framework or model was analyzed by comparing with the ARMA model, which is a linear time series model. As a result, the proposed model showed the correlation of 92% and ARMA model showed about 39%. Therefore, we had known that the performance of the proposed model was better than a linear time series model and KWD framework could be used for other nonlinear time series which has similar pattern with water usage. Therefore, if the KWD framework is used, it will be possible to accurately predict water usage and establish an optimal supply plan every the various event.

Flexible Unit Floor Plan of a Modular House Considering the Production System (생산 시스템을 고려한 모듈러주택의 가변형 평면계획 연구)

  • Lee, Ji-Eun
    • Land and Housing Review
    • /
    • v.12 no.3
    • /
    • pp.67-78
    • /
    • 2021
  • After World War II, modular housing was developed as a means of quickly and efficiently meeting the housing supply demand. For the past 30 plus years, efforts have been made to improve modular housing in South Korea and to increase their competitiveness in the housing market. This study investigated modular houses based on a steel framed rahem structure which provides a flexible floor plan where walls are easily reconfigured to create rooms of various sizes and functions. Similar to the factory production methods used in the automotive industry, the modular housing industry can also benefit by standardizing such aspects as building components, manufacturing and construction methods, materials, process management, and floor plans. This study examined the feasibility of using a 3m × 3m module for developing various floor plans which are easy to produce and transport. Each 3m × 3m module can be configured to meet different living needs resulting in a complete home when multiple modules are connected. The module configurations can be varied to meet ground transportation and crane limitations. This study found that a 3m × 3m steel framed modular unit is a promising step towards providing residents with plans that meet their living preferences while improving and increasing the supply of modular houses.

A Dual-Mode 2.4-GHz CMOS Transceiver for High-Rate Bluetooth Systems

  • Hyun, Seok-Bong;Tak, Geum-Young;Kim, Sun-Hee;Kim, Byung-Jo;Ko, Jin-Ho;Park, Seong-Su
    • ETRI Journal
    • /
    • v.26 no.3
    • /
    • pp.229-240
    • /
    • 2004
  • This paper reports on our development of a dual-mode transceiver for a CMOS high-rate Bluetooth system-onchip solution. The transceiver includes most of the radio building blocks such as an active complex filter, a Gaussian frequency shift keying (GFSK) demodulator, a variable gain amplifier (VGA), a dc offset cancellation circuit, a quadrature local oscillator (LO) generator, and an RF front-end. It is designed for both the normal-rate Bluetooth with an instantaneous bit rate of 1 Mb/s and the high-rate Bluetooth of up to 12 Mb/s. The receiver employs a dualconversion combined with a baseband dual-path architecture for resolving many problems such as flicker noise, dc offset, and power consumption of the dual-mode system. The transceiver requires none of the external image-rejection and intermediate frequency (IF) channel filters by using an LO of 1.6 GHz and the fifth order onchip filters. The chip is fabricated on a $6.5-mm^{2}$ die using a standard $0.25-{\mu}m$ CMOS technology. Experimental results show an in-band image-rejection ratio of 40 dB, an IIP3 of -5 dBm, and a sensitivity of -77 dBm for the Bluetooth mode when the losses from the external components are compensated. It consumes 42 mA in receive ${\pi}/4-diffrential$ quadrature phase-shift keying $({\pi}/4-DQPSK)$ mode of 8 Mb/s, 35 mA in receive GFSK mode of 1 Mb/s, and 32 mA in transmit mode from a 2.5-V supply. These results indicate that the architecture and circuits are adaptable to the implementation of a low-cost, multi-mode, high-speed wireless personal area network.

  • PDF

Simulation of Virtual Marionette with 3D Animation Data (3D Animation Data를 활용한 가상 Marionette 시뮬레이션)

  • Oh, Eui-Sang;Sung, Jung-Hwan
    • The Journal of the Korea Contents Association
    • /
    • v.9 no.12
    • /
    • pp.1-9
    • /
    • 2009
  • A doll created by various materials is a miniature based on human model, and it has been one of components in a puppet show to take some responsibility for human's culture activity. However, demand and supply keeps on the decrease in the puppet show industry, since professional puppeteer has been reduced rapidly, and also it is difficult to initiate into the skill. Therefore, many studies related Robotic Marionette for automation of puppet show have been internationally accompanied, and more efficient structure design and process development are required for better movement and express of puppet with motor based controller. In this research, we suggest the effective way to enable to express the marionette's motion using motion data based on motion capture and 3D graphic program, and through applying of 3D motion data and proposal of simulation process, it will be useful to save time and expenses when the Robotic Marionette System is practically built.

Implementing the Management Model of the Institutional Repositories for the Efficient Distribution Infrastructure of National Knowledge Focusing on the dCollection System (국가지식정보의 효율적인 유통체제 구축을 위한 대학 리포지토리의 운영 모형 개발 : dCollection을 중심으로)

  • Kim, Hyun-Hee;Ahn, Tae-Kyoung;Chang, Woo-Kwon;Kwak, Byeong-Heui
    • Journal of the Korean Society for information Management
    • /
    • v.22 no.3 s.57
    • /
    • pp.103-127
    • /
    • 2005
  • The purpose of the study is to implement the management model of the institutional repositories for the efficient distribution infrastructure of national knowledge focusing on the dCollection system which is operated by KERIS (service provider). In order to build the management model, the two steps were utilized. The first step is to investigate the checklists of repositories that are important factors for the successful repository implementation through literature review. On the other hand, the second one is to survey the current status of the sixteen domestic and foreign institutional repositories through interviews, surveys and email as well as the repository home pages and literature reviews. Through the two steps, the management model including six components such as content and librarian role was proposed. The proposed management model will be utilized to supply guides both to the universities which plan to build their institutional repositories and to the universities which try to promote the activities of their repositories.

Effect of Sand and Dust Ingestion on Small Gas Turbine Engines (대기 중 모래 먼지 유입이 소형 가스터빈엔진에 미치는 영향에 대한 연구)

  • Rhee, Dong-Ho;Lim, Byeng-Jun;Ahn, Iee-Ki;Koo, Hyun-Chul;Kim, Jee-Hee
    • Transactions of the Korean Society of Mechanical Engineers B
    • /
    • v.36 no.8
    • /
    • pp.791-796
    • /
    • 2012
  • Small gas turbine engines are used in aircraft as an auxiliary power unit (APU) to supply compressed air to start the main engine and for emergency electricity. When an aircraft is operating in an environment in which sand and dust is present in the ambient air, the engines as well as the APU ingest the sand and dust. This causes erosion of the engine and a degradation in its performance. The present study investigated the effect of sand and dust ingestion on small gas turbine engines. The concentration of sand and dust was $4.4{\times}10^{-5}kg$ per unit kg of air, which follows the specification in MIL-E-8593. The test was conducted for 10 h, and the engine performance before and after the test was compared. In addition, a tear-down inspection was conducted to examine the erosion patterns of sub-components such as the impeller and turbine wheel.

Research about the IoT based on Korean style Smart Factory Decision Support System Platform - based on Daegu/Kyeongsangbuk-do region component manufacture companies (IoT 기반의 한국형 Smart Factory 의사결정시스템 플랫폼에 대한 연구 - 대구/경북 부품소재 기업을 중심으로)

  • Sagong, Woon
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.12 no.1
    • /
    • pp.1-12
    • /
    • 2016
  • The current economic crisis is making new demands on manufacturing industry, in particular, in terms of the flexibility and efficiency of production processes. This requires production and administrative processes to be meshed with each other by means of IT systems to optimise the use and capacity utilisation of machines and lines but also to be able to respond rapidly to wrong developments in production and thus to minimise adverse impacts on the business. The future scenario of the "smart factory" represents the zenith of this development. The factory can be modified and expanded at will, combines all components from different manufacturers and enables them to take on context-related tasks autonomously. Integrated user interfaces will still be required at most for basic functionalities. The complex control operations will run wirelessly and ad hoc via mobile terminals such as PDAs or smartphones. The comnination of IoT, and Big Data optimisation is bringing about huge opportunities. these processes are not just limited to manufacturing, anywhere a supply chain environment exists can benefit from information provided by linked devices and access to big data to inform their decision support. Building a smart factory with smart assets at its core means reaching those desired new levels of productivity and efficiency. It means smart products that leverage advanced traceability, connectivity and intelligence. For businesses, it means being able to address the talent crunch through more autonomous. In a Smart Factory, machinery and equipment will have the ability to improve processes through self-optimization and autonomous decision-making.