• Title/Summary/Keyword: 자동분수공

Search Result 2, Processing Time 0.016 seconds

Development of the Automatic Turnout (자동 분수공의 개발)

  • 저하우;이남호;김성준;최진용;한형근;한휘남
    • Magazine of the Korean Society of Agricultural Engineers
    • /
    • v.36 no.4
    • /
    • pp.33-38
    • /
    • 1994
  • Floating-type automatic turnout was developed for the purpose of reducing labor cost and labor-working hours related to turnout management. The point of automation is to use a flexible-float within the turnout. The weight of float is changed by emptying and filling with water at the beginning and ending of irrigation. The turnout is controlled to open and close small bole on the float bottom using electromagnets. With the weight control of float. the gate of turnout is opened by the empty float to begin irrigatiom and is closed by the filled float to stop irrigation. The turnout was designed to be operated by the main computer and to minimize electric power consumption by sending an electric current at the beginning and ending of irrigation. The functional experiment was succesfully carried out and the rating curves for both free overflow condition and submerged flow condition were derived.

  • PDF

Development of the Automated Irrigation Management System for Paddy Fields (논 물 관리의 자동화시스템 개발)

  • 정하우;이남호;김성준;최진용;김대식
    • Magazine of the Korean Society of Agricultural Engineers
    • /
    • v.36 no.3
    • /
    • pp.67-73
    • /
    • 1994
  • This paper is to validate the proposed models for the real-time forecasting for the Keum river estuary dam such as tidal-level forecasting model, one-dimensional unsteady flood routing model, and Kalman filter models. The tidal-level forecasting model was based on semi-range and phase lag of four tidal constituents. The dynamic wave routing model was based on an implicit finite difference solution of the complete one-dimensional St. Venant equations of unsteady flow. The Kalman filter model was composed of a processing equation and adaptive filtering algorithm. The processng equations are second ordpr autoregressive model and autoregressive moving average model. Simulated results of the models were compared with field data and were reviewed.

  • PDF