Blockchain Performance Benchmarking in Industrial Supply Chains: Empirical Evidence from Coal Mining
摘要
Industrial blockchain adoption remains constrained by insufficient empirical performance validation in operational environments. This research investigates blockchain performance characteristics through systematic evaluation of transaction processing efficiency, consensus mechanism effectiveness, and technology integration capabilities in coal mining supply chains. We employ comprehensive performance benchmarking utilizing a deployed Proof-of-Authority (PoA) blockchain system with publicly accessible DApp interface managing mining in Vietnam. The evaluation framework encompasses transaction cost analysis, consensus performance assessment, system reliability evaluation, UAV-LiDAR and IoT integration, and industrial readiness validation across diverse operational functions including quality control, volume verification, and environmental monitoring. The empirical findings demonstrate that operational-driven processing enables blockchain systems to adapt to business requirements rather than imposing technical constraints. Transaction processing achieves cost-effective performance with predictable resource consumption patterns. The PoA consensus mechanism provides deterministic confirmation aligned with operational requirements while maintaining energy efficiency. Technology integration validates successful blockchain convergence with advanced sensing systems, establishing foundations for Industry 4.0 transformation. Performance consistency across functional categories ensures predictable operational characteristics suitable for enterprise deployment. The verification-centric operational pattern confirms alignment with mining industry transparency requirements. These findings establish quantitative benchmarks for evidence-based blockchain adoption decisions, demonstrating practical pathways from theoretical potential to operational reality in resource-intensive industries.