CIRC-LOCK Assay-Gate Digital Platform: Machine-Verifiable Waste Routing Through Multi-Modal Sensor Fusion and Constraint-Based Optimization
Technical white paper presenting an open-source industrial waste management system that transforms manual characterization processes (27-46% non-compliance, 7-27 day cycles) into real-time, machine-verifiable routing decisions. Integrates computer vision (YOLOv8, 93.2% precision, 470ms inference), Unscented Kalman Filter sensor fusion (64% uncertainty reduction), constraint-based admissibility gating (RCRA/EU WFD compliance), and MILP optimization (13.9% value improvement). Generates cryptographically hash-chained evidence packs with 9-16% overhead. Validated via shadow-mode deployment: 98.8% accuracy, 17.5× faster decisions, $1.84M annual facility benefit, 4,500 tCO₂e/year GHG reductions. Apache 2.0 licensed for industrial adoption. Submitted to Shell GameChanger challenge addressing circular economy market opportunity ($8.9B, 10% CAGR).
Institutions
- Constructing Excellence (GB)
- "Dunarea de Jos" University of Galati (RO)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-04
- DOI
- https://doi.org/10.5281/zenodo.17519301
- Primary Topic
- Mineral Processing and Grinding
- Type
- article
- Field-Weighted Citation Impact
- 0.00