Gaggia Brera, Руководство по обслуживанию

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Rev. 00 OCTOBER 2009 Page / 06
GAGGIA
04 OPERATING LOGIC
4.8 Dose self-learning
With an algorithm based on three pieces of information (listed below) detected by the machine
computer, the average dose is adjusted automatically (SELF-LEARNING).
1. Number of coffee grinder pulses taking place during the grinding cycle
2.
Max. average value of the power consumed by the gearmotor during the cycle for coffee
brewing
3. Aroma selected by the user
The algorithm compares the maximum average value of the power consumed by the unit with the
value listed in the table for the selected aroma, in order to calculate the new grinding pulse value
for the next coffee produced.
If the value of the current absorbed by the gearmotor is lower than the value of the minimum cur-
rent, the grinding pulses will be increased by 2.
If the value of the power consumed by the gearmotor is greater than the value of the maximum
current, the grinding pulses will be decreased by 4.
If the "pre-ground" aroma is selected by the user, no modification will be made.
Min. current (mA) Max. current (mA) Aroma (pulses)
200 300
Mild (- 10% of the average value)
301 450 Average (nominal)
451 600 Strong (+ 10% of the average value)
– – pre-ground
If the gearmotor power consumption value falls within the “overwork” interval,
the grinding pulses will be decreased by 10 and the product will be dispensed.
If the gearmotor power consumption value falls within the “expulsion” interval,
the grinding pulses will be decreased by 10 and the pad will be dispensed.
Min. current (mA) Max. current (mA) Aroma (pulses)
800 1000 Overwork
1001 - - Pad expulsion
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