Adaptive Map Controller (amc)
Transparent plant optimization for wastewater treatment
What is a map?
A map is a multidimensional function that maps process variables to an optimal control value. The adaptive map controller uses inputs such as inlet flow, NH4 and temperature to calculate the optimal oxygen setpoint.
Very fast output
The map delivers the optimal setpoint in real time – without computation-intensive models.
Fully transparent
All control decisions are traceable – no black-box approach like neural networks.
Complex relationships
The map captures nonlinear interactions between process variables.
Distinction from Artificial Intelligence
Unlike neural networks, the amc is not a black-box system. It learns online during operation and requires no historical training data. Every control decision is transparent and traceable.
| Conventional | Adaptive Map Controller |
|---|---|
| Expert knowledge required | No prior knowledge needed |
| Static parameterization | Self-updating |
| Historical data required | Learns during operation |
| Manual adjustment | Automatic adaptation |
| Black box (AI) | Fully transparent |
Hardware
The map controller runs on an autonomous industrial PC (Phoenix Contact BOX-PC), integrated directly into the process level. Local data processing – no internet connection required.
Easy integration
Standard interfaces for seamless integration into your existing infrastructure
S7 / PROFINET
Direct connection to Siemens PLC systems
Modbus TCP/IP
Open industry standard for maximum compatibility
BACnet
Building automation protocol for extended integration
Installation and commissioning typically in 1–2 days. The map controller operates fully autonomously and is critical infrastructure compliant (no internet required).