• Title/Summary/Keyword: Load Monitoring

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Algorithm of Analysing Electric Power Signal for Home Electric Power Monitoring in Non-Intrusive Way (가정용 전력 모니터링을 위한 전력신호 분석 알고리즘 개발)

  • Park, Sung-Wook;Wang, Bo-Hyeun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.6
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    • pp.679-685
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    • 2011
  • This paper presents an algorithm identifying devices that generate observed mixed signals that are collected at main power-supply line. The proposed algorithm, which is necessary for low cost electric power monitoring system at appliance-level, that is non-intrusive load monitoring system, divides incoming mixed signal into multiple time intervals, calculating difference-signals between consecutive time interval, and identifies which device is operating at the time interval by analysing the difference-signals. Since the features of one device can remain when the time interval is short enough and the features are independent and additive, well-known classification algorithms can be used to classify the difference-signals with features of N individual devices, otherwise $2^N$ features might be necessary. The proposed algorithm was verified using data mixed in a laboratory with individual devices's data collected from field. When maximum 4 devices operate or stop sequentially and when features satisfy the requirements of proposed algorithm, the proposed algorithm resulted nearly 100% success rate under the constrained test condition. In order to apply the proposed algorithm in real world, the number devices shall increase, the time interval shall be smaller and the pattern of mixture shall be more diverse. However we can expect, if features used follow guidelines of proposed algorithm, future system could have certain level of performance without the guideline.

Selection Priority of Tributary Catchments for Improving Water Quality using Stream Grouping Method (하천그룹화 방법을 이용한 수질개선 하천유역의 우선순위 선정)

  • Cho, Byungwook;Choi, Jeongho;Yi, Sangjin;Kim, Youngil
    • Journal of Korean Society on Water Environment
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    • v.28 no.1
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    • pp.18-25
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    • 2012
  • For effective watershed management, it is very important to select the tributaries through selection and concentration of targeted tributary catchments for improving water quality within the limited financial conditions. This study introduced the selection and diagnosis procedure of tributary catchments for improving water quality at Chungcheongnam-do based on water quality and flowrate monitoring, stream grouping method. The tributaries with high value of water quality and flowrate were selected for improving water quality according to stream grouping method. The diagnosis of selected tributaries for improving water quality was performed with analysis of the pollution load (generated, discharged, delivered) and point source discharged pollution load density. The plans for improving water quality of tributaries were suggested thorough various diagnosis of tributary catchments. For improving water quality of tributaries in Chungcheongnam-do, the tributary catchments in the Dangjin, Asan, Yesan, Cheonan, Hongseong area should be preferentially considered. The water quality improving plans for those tributary catchments, in accordance with the reduction of sources of pollution by population and livestock, should be established.

Study on the Load Properties of Main Shaft of Medium Size Wind-turbine Gearbox using Monitoring (모니터링을 이용한 중형 풍력발전기용 증속기 주축의 부하특성 분석 연구)

  • Park, Young-Joon;Lee, Geun-Ho;Lee, Jong-Won;Nam, Yoon-Su;Cha, Jong-Whan
    • 한국신재생에너지학회:학술대회논문집
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    • 2007.06a
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    • pp.378-382
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    • 2007
  • To improve the reliability for a wind-turbine gearbox, the mechanical loads acting on the gearbox need to be monitored and analysed exactly. This study was conducted to identify the characteristics of torques and bending moments acting on the main shaft of the gearbox using the rainflow counting method and predict the fatigue life of the main shaft by using the modified Miner's rule. While the mean wind speed became 3.5 m/s, the life of the main shaft by the acting torques was predicted as 4.3${\times}10^6$ years, and it by the bending moments was as 2.3${\times}10^4$ years. If the life of the wind turbine was estimated as 20 years, the fatigue life of the main shaft was regarded as infinite. Also, it was suggested that the life of the main shaft must be predicted by not the torques but the bending moments.

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Characteristics of Non-Point Pollutant Runoff in Highland Field Fields through Long-term Monitoring (장기 모니터링을 통한 고랭지 밭 지역의 비점오염물질 유출특성)

  • Lee, Su In;Shin, Jae Young;Shin, Min Hwan;Ju, So-Hui;Seo, Ji Yeon;Park, Woon Ji;Lee, Jae Young;Choi, Joong Dae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.59 no.4
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    • pp.85-96
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    • 2017
  • In this research, I performed rainfall monitoring by selecting the spot which can represent high altitude cool farm region in recent 3 years, and tried to understand the characteristic of outflow of non-point pollutants coming from high altitude cool farm region. As a result, it was shown that reducing rainfall runoff in highland farm area can reduce non-point pollution load and should consider priority to reduce runoff through management resources when selecting abatement method. Additionally, it is judged that reduction method related to base run-off should be selected by performing research on material motion of TN.

Development of a Remote Monitoring System of the Residual Amount of Ringer's Solution at Hospitals Using a Microprocessor (마이크로프로세서를 이용한 병원용 환자 링거액 잔류유량 원격 실시간 검사 시스템 개발)

  • Ha, Kwan-Yong;Gwon, Jong-Won;Odgelral, Odgelral;Kim, Hie-Sik
    • Proceedings of the KIEE Conference
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    • 2005.10b
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    • pp.279-282
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    • 2005
  • A real-time measurement and control system was developed, This system is used for nurses at hospitals to check the residual quantity and changing time of Ringer's solution in nurses' room. Load Cell is utilized as a sensor to check the residual quantity of Ringer's solution, This Load Cell detects the physical changes of Ringer's solution and transfers electronic signal to the amplifier. Amplified analog signal is converted into digital signal by NO converter. Developed Embedded system, which computes these data with microprocess(8052) then makes it possible to monitor the residual quantity of Ringer's solution real-time on a server computer. A Checking system on Residual Quantity of Ringer's Solution Using Load cell cut costs using a simple design for a circuit

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Strain monitoring of the rail during train loading condition using optical fiber sensor (광섬유센서를 이용한 열차하중 작용시 레일의 변형을 모니터링)

  • Yoon, Hyuk-Jin;Song, Kwang-Yong;Kim, Dae-Sang;Kim, Ki-Hwan;Kim, Jung-Seok;Kwon, Tae-Soo;Na, Hee-Seung
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.1514-1518
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    • 2009
  • Recently, railroad construction has been increased all over the world and as the train is getting high-speeded, there has been a need for guaranteed safety, so that a requirement for heath monitoring techniques for destruction that generated by gradually accumulated damages is now increasing. Especially the rail is crucial part that contact with wheel directly and delivers the train's load to a sleeper. It needs a technique that can guarantee a safety by sensing the possible cracks. In this paper, when train's load applied to the rail, strain distribution that introduced to entire length of rail is monitored using optical fibre. Optical fibre is used as a medium for measuring the strain and BOCDA (Brillouin Optical Correlation Domain Analysis) system is organized for measuring the distributed variation that implied to optical fibre. Optical fibre is attached at lower flange where tension is maximized when the load of train applied to the rail and strain gauge is implied together to compare the accuracy of measurement.

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Dynamic Load Balancing and Network Adaptive Virtual Storage Service for Mobile Appliances

  • Ong, Ivy;Lim, Hyo-Taek
    • Journal of Information Processing Systems
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    • v.7 no.1
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    • pp.53-62
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    • 2011
  • With the steady growth of mobile technology and applications, demand for more storage in mobile devices has also increased. A lightweight block-level protocol, Internet Advanced Technology Attachment (iATA), has been developed to deliver a cost-effective storage network solution for mobile devices to obtain more storage. This paper seeks to contribute to designing and implementing Load Balancing (LB), Network Monitoring (NM) and Write Replication (WR) modules to improve the protocol's scalability and data availability. LB and NM modules are invoked to collect system resources states and current network status at each associate node (server machine). A dynamic weight factor is calculated based on the collected information and sent to a referral server. The referral server is responsible to analyze and allocate the most ideal node with the least weight to serve the client. With this approach, the client can avoid connecting to a heavily loaded node that may cause delays in subsequent in-band I/O operations. Write replication is applied to the remaining nodes through a WR module by utilizing the Unison file synchronization program. A client initially connected to node IP A for write operations will have no hindrances in executing the relevant read operations at node IP B in new connections. In the worst case scenario of a node crashing, data remain recoverable from other functioning nodes. We have conducted several benchmark tests and our results are evaluated and verified in a later section.

A completely non-contact recognition system for bridge unit influence line using portable cameras and computer vision

  • Dong, Chuan-Zhi;Bas, Selcuk;Catbas, F. Necati
    • Smart Structures and Systems
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    • v.24 no.5
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    • pp.617-630
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    • 2019
  • Currently most of the vision-based structural identification research focus either on structural input (vehicle location) estimation or on structural output (structural displacement and strain responses) estimation. The structural condition assessment at global level just with the vision-based structural output cannot give a normalized response irrespective of the type and/or load configurations of the vehicles. Combining the vision-based structural input and the structural output from non-contact sensors overcomes the disadvantage given above, while reducing cost, time, labor force including cable wiring work. In conventional traffic monitoring, sometimes traffic closure is essential for bridge structures, which may cause other severe problems such as traffic jams and accidents. In this study, a completely non-contact structural identification system is proposed, and the system mainly targets the identification of bridge unit influence line (UIL) under operational traffic. Both the structural input (vehicle location information) and output (displacement responses) are obtained by only using cameras and computer vision techniques. Multiple cameras are synchronized by audio signal pattern recognition. The proposed system is verified with a laboratory experiment on a scaled bridge model under a small moving truck load and a field application on a footbridge on campus under a moving golf cart load. The UILs are successfully identified in both bridge cases. The pedestrian loads are also estimated with the extracted UIL and the predicted weights of pedestrians are observed to be in acceptable ranges.

Automatic Feedrate Adjustment for 2D Profile Milling (2차원 윤곽가공에서 이송률 자동 조정)

  • 고기훈;서정철;최병규
    • Korean Journal of Computational Design and Engineering
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    • v.5 no.2
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    • pp.175-183
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    • 2000
  • Proposed in this paper is a model-bated AFA (automatic feedrate-adjustment) method for maintaining smooth cutting-loads (i.e., cutting-force) during 2D-profile milling. Before the cutting-force model was established, some assumptions were verified through a series of preliminary cutting experiments (The results found that the curving-force was independent of the cutting speed and the cutting action at the cutter bosom). From the data obtained during the main cutting experiments, a “chip-load/cutting-force model”representing the cutting-force as a function of the chip-load (i.e., effective cutting-depth) and a feedrate is proposed. Based on the model. an AFA scheme for maintaining smooth cutting-force by adjusting the feedrate (i.e., F-code) according to the changes in chip-load was proposed. To check the validity of the proposed AFA scheme. another set of cutting experiments was conducted by using feedrate-adjusted NC-data while monitoring the actual machining processes using an accelerometer. The experimental results showed that the proposed AFA-scheme was quite effective.

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Prediction of Long-term Behavior of Ground Anchor Based on the Field Monitoring Load Data Analysis (현장 하중계 계측자료 분석을 통한 그라운드 앵커의 장기거동 예측)

  • Park, Seong-yeol;Hwang, Bumsik;Lee, Sangrae;Cho, Wanjei
    • Journal of the Korean Geotechnical Society
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    • v.37 no.8
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    • pp.25-35
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    • 2021
  • Recently, the ground anchor method is commonly applied with nail and rock bolt to secure the stability of slopes and structures in Korea. Among them, permanent anchor which is used for long-term stability should secure bearing capacity and durability during the period of use. However, according to recent studies, phenomenon such as deformation to slope and the reduction of residual tensile load over time have been reported along the long-term behavior of the anchors. These problems of reducing residual tensile load are expected to increase in the future, which will inevitably lead to problems such as increasing maintenance costs. In this study, we identified the factors that affect the tensile load of permanent anchor from a literature study on the domestic and foreign, and investigated the prior studies that analyzed previously conducted load cell monitoring data. Afterwards, using this as basic data, the load cell measurement data collected at the actual site were analyzed to identify the tensile load reduction status of anchors, and the long-term load reduction characteristics were analyzed. Finally, by aggregating the preceding results, proposed a technique to predict the long-term load reduction characteristics of permanent anchors through short-term data to around 100 days after installation.