DPM AI System AI-based System for Early Detection of Digester Biology Problems

DPM AI System

AI-based System for Early Detection of Digester Biology Problems

Reliable, Automatic Monitoring of the Biological Process in Dry Anaerobic Digestion

There are significant advantages to the automated, continuous monitoring of disturbances in the biological process in the digester with the help of artificial intelligence. These include rapid fault detection in a matter of seconds, increased plant availability, higher productivity, and time and cost savings versus conventional monitoring by means of laboratory analysis. For new plants as well as retrofits, boosting productivity by enabling reliable fault detection in seconds.

Current Situation
If disturbances to the biological process in the digester are detected too late, the result is reduced utilisation of plant capacity as well as lower gas production and financial losses. The most common method of process monitoring consists of laboratory analyses to measure volatile fatty acids and ammonium nitrogen in the digestate, which must then first be analysed by a process expert. Until then, feeding cannot be continued at all or can only be continued on a greatly reduced basis.

Our Solution
Thanks to artificial intelligence, the automated early detection of disturbances in the biological process in the digester is possible within a few seconds. In the event of a disturbance, the system triggers an alarm and enables the operating personnel to intervene as quickly as possible. The system uses plant data available online from existing measurements, meaning that it can be used in many different types of plant.

The Benefits for You
– With the DPM AI system, digestion plants can be operated closer to their biological limits, which can increase productivity by up to 15%.
– Conventional laboratory analysis is no longer necessary and the continuous monitoring of the biological process in real time eliminates the delay before a malfunction is detected. Detection happens within seconds rather than days.
– Results are output directly on site as a visual report with details of the malfunction, enabling immediate intervention by the operating personnel.
– A reduction in production lasting several days can be avoided. Plant availability can also be increased, reducing financial losses.

Types of Dry Anaerobic Fermentation Plants that Can Potentially Be Monitored with this System
– Kompogas® plants
– All dry digestion plants in continuous operation, regardless of whether this takes place in the mesophilic or thermophilic temperature range

System Properties
– Continuous monitoring and early detection of disturbances in the biological process
– Overall accuracy 99.5%
– Sensitivity 100%
– Can be retrofitted to many different types of plant