• The D3000 pumps detergent whenever the detergent input has power and the
probe’s conductivity reading indicates wash tank concentration is below
setpoint. It feeds up to five times before issuing an alarm.
• These dispensers have a patented learning algorithm which determines the
length of the feeds. How does the learning algorithm work?
– It measures how many Beta Units below setpoint the conductivity is
– It pumps about one second per Beta Unit below setpoint on the first feed.
– The second feed duration is calculated by the dispenser, based on the rise
in Beta Units per second of pump run time in the first feed.
– The learning algorithm averages the results of the last five feeds to
determine the best feed rate to get to setpoint without overshoot
averaging
• This learning algorithm provides superior results in terms of maintaining
setpoint and preventing overfeeding. It also saves the installer time, because
he or she just programs a single setpoint variable instead of four variables:
reduced feed rate, low detergent delay, overfeed delay, and setpoint.
Patented Learning Algorithm Logic
