| 摘要 |
<p>PURPOSE:To detect abnormality in an early stage by computing deviation or the degree of abnormality from the integrated quantity or variation per unit time and the integrated quantity or variation of the output of plural other related sensors excluding a concerned sensor, and making a fuzzy inference. CONSTITUTION:The inflow water quantity to a distributing reservoir 1 is detected by an inflow meter 2 and inputted to an inflow integrating part 5 so as to compute the integrated quantity DELTAF1 of inflow water per unit time. The water level of the distributing reservoir 1 is detected by a distributing reservoir level gage 3 and inputted to a water level variation computing part 6 so as to compute the water level variation DELTAL per unit time. The outflow water quantity from the distributing reservoir 1 is further detected by an outflow meter 4 and outputted to an outflow integrating part 7 so as to compute the integrated quantity DELTAF2 of outflow water per unit time. The inflow DELTAF1, variation DELTAL, outflow DELTAF2 and the cross-sectional area of the distributing reservoir 1 are inputted to a water level-flow deviation computing part 8 so as to compute the water level deviation quantity HL, and inflow and outflow deviation quantity HF1, HF2 respectively. The inflow and outflow DELTAF1, DELTAF2 are inputted to a reserved quantity computing part 9 so as to compute the reserved quantity DELTAF0.</p> |
