Andritz has introduced the next generation of its Metris addIQ RheoScan, an optical measurement system for automatic polymer dosage in belt process and gravity belt tables. Among other features, the system uses artificial intelligence (AI) to further increase process stability and reduce operating costs.
Metris addIQ RheoScan is designed to measure the sludge conditions throughout the thickening and dewatering stages using a convolutional neural network for texture detection. The system automatically adjusts the polymer dose as needed to match changing flow rates and sludge conditions. This allows for almost fully autonomous machinery operation. The new squeeze-control option enables the system to operate at the capacity limits of the machine 24/7, thus eliminating downtime.
Optimised dosage saves polymer, resulting in Opex reduction by up to 40% for sewage sludge, coal sludge or paper sludge dewatering. The technologies used also help to maintain optimum cake dryness, and to identify blinded belts which, in turn, leads to smoother operations. Installations in wastewater treatment plants with digestion processes have seen the additional benefit of higher gas yields.
Metris addIQ RheoScan can be operated without supervision, and can be applied to any belt press or gravity belt table in all types of municipal and industrial sludge processing facilities.