Quick answer
GreBotics S72 evaluates sensor data together to identify the biological phase and manage parameters supporting bacterial life cycles. AI optimises working conditions for natural biological conversion.
Connected process data
Relationships between compost and chamber temperature, moisture, gases and supplied/recovered heat describe the process. One temperature can mean different things under different feeds. Control is therefore not restricted to one constant value.
From phase to operating settings
The system first assesses the bacterial phase, then manages suitable operating parameters. The aim is faster active composting while preserving biological processes. Active processing down to 72 hours depends on feedstock and process conditions.
The Grebotics AI-assisted compost machine ↗Operator and automation
Operators feed suitable material, review alerts and follow maintenance procedures. Sensor data complements observations of feedstock. Do not assume automation can compensate for unsuitable inputs.
Cloud-based monitoring
Machine data is prepared for periodic assessment in a cloud collection system. Monthly reports provide indicators such as energy, process data and estimated carbon benefit. Data connections and reports are free for the first year with machine purchase.
Practical checklist
- Link feedstock inputs to process data.
- Assign alert and maintenance responsibility.
- Distinguish measured and calculated indicators.