91福利

With the current water treatment process undertaken as part of wastewater treatment, the treatment processes and their concomitant measurement parameters are becoming more complicated with the presence of a number of treatment processes, including A2O, AOAO, membrane, ozone and activated carbon, in addition to the standard method.
We are moving forward toward energy saving and optimization of entire plants through the control of non-linear behaviors by means of multi-variate data (measurements and control targets), something which had not previously been possible with conventional PID control. We are also doing this through improvements in responsiveness and convergence.

Using a statistical multi-variate analysis which serves as a basis of modern control theories and adopting sophisticated control theories such as fuzzy control, neural network control and LQ (Linear Quadratic) control, we are developing mathematical models and control systems which are best suited the operations of individual plants.

Control examples

• Graph-editing-type, energy-saving simulator
  Through simulations conducted while viewing the changes in the number of operating sewage pumps on the graph, the high water level operation and night-time electric power are effectively used in order to facilitate energy saving.
• Blower control for N ₂O suppression
  With the control logic developed for the generation of N ₂O in the reactor tank, blower operation is controlled to suppress N ₂O generation through model-based predictive control.
• MLSS control
  With a focus placed on the MLSS value of an aeration tank, the amounts of discharge and sludge removed from a final sedimentation tank are controlled to maintain the MLSS value at a high level for increased treatment efficiency at water treatment facilities.
  * MLSS...Mixed Liquor Suspended Solids