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

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
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article

CIRC-LOCK Assay-Gate Digital Platform: Machine-Verifiable Waste Routing Through Multi-Modal Sensor Fusion and Constraint-Based Optimization

Zenodo (CERN European Organization for Nuclear Research)
Mineral Processing and Grinding
article

CIRC-LOCK Assay-Gate Digital Platform: Machine-Verifiable Waste Routing Through Multi-Modal Sensor Fusion and Constraint-Based Optimization

article en

Abstract

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).

Zenodo (CERN European Organization for Nuclear Research)
Constructing Excellence (GB), "Dunarea de Jos" University of Galati (RO)
Openalex Percentile: Top 51%
Mineral Processing and Grinding
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