The Challenge
Anaerobic digestion depends on maintaining precise biological conditions across multiple digesters and process stages. Traditional SCADA systems monitor individual parameters but miss the cross-system patterns that indicate emerging problems. A gradual temperature drift in one digester, combined with a subtle change in gas composition, might signal a process upset days before it becomes a crisis — but only if the data is connected.
How GuardianVector Works for AD Plants
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Process Digital Twin
Every digester, heat exchanger, gas holder, CHP engine, and downstream system mapped with operating parameters, maintenance schedules, and interdependencies.
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Biological Process Intelligence
AI learns the normal operating envelope for your specific biology. Deviations in temperature, pH, volatile fatty acids, gas composition, and feedstock mix are detected in the context of the full process — not as isolated threshold breaches.
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Autonomous Site Inspection
Drones inspect digesters, pipework, storage tanks, and perimeter infrastructure. Thermal imaging detects insulation failures and leaks. Visual inspection identifies corrosion, structural issues, and maintenance needs.
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Incident Prevention
By correlating patterns across sensors, maintenance history, and historical incidents, the system flags conditions that have preceded problems before — turning reactive firefighting into proactive prevention.
Key Use Cases
Digester temperature and biology monitoring with early warning alerts
Gas system integrity monitoring — leaks, pressure anomalies, composition changes
CHP engine performance tracking and predictive maintenance
Feedstock quality correlation with process performance
Regulatory compliance monitoring and automated reporting
Perimeter security and site condition surveillance