Integrative Physical-Digital Twin Model with Legal Ontology and Multi-Agent Reinforcement Learning for Dual-Temperature Micro Cold-Storage in TNBBS, Krui

Background: Coastal fisheries and high-value marine products around Kuala Stabas and the TNBBS conservation corridor require dual-temperature thermal preservation under volatile power and logistical access. Objectives: To establish an integrative physical-digital twin architecture governed by formal legal ontologies and MARL multi-agent optimization. Methods: Thermodynamic telemetry sensor deployment paired with real-time multi-agent simulation and automated SLA smart contract verification. Results: The MARL thermodynamic policy maintains thermal boundaries between -18°C and +4°C with 38.2% less generator cycling while smart legal contracts ensure automated compensation for breach of cold-chain SLAs. Conclusion: The model demonstrates viable micro-scale cold storage deployment in ecologically sensitive frontier regions without violating conservation statutory boundaries. Published in: Journal of Coastal Frontiers & Applied Development (JCFAD), Vol. 1 No. 1 (2026), pp. 1–12. Official publisher: PT CHAIN ASIA CONECT Research & Development Division.