MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641068718 A) filed by Dr. S. Castro; Tirumalasetty Sai Priyanka; Dr. Raghavan Santhanam; Ch. Jyothi; Dr. Ravindra Asharam Kayande; Mrs. K. Revathi; Dr Surender Kumar; and Dr. L. Javid Ali on June 01, 2026, for Iot And Blockchain-Based Supply Chain Tracking System For Construction Materials With Real-Time Quality Analytics.
Inventors include Dr. S. Castro; Tirumalasetty Sai Priyanka; Dr. Raghavan Santhanam; Ch. Jyothi; Dr. Ravindra Asharam Kayande; Mrs. K. Revathi; Dr Surender Kumar; and Dr. L. Javid Ali.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT IoT and Blockchain-Based Supply Chain Tracking System for Construction Materials with Real-Time Quality Analytics The present invention relates to an IoT and blockchain-based supply chain tracking system for construction materials integrated with real-time quality analytics to ensure transparency, traceability, quality assurance, and operational efficiency throughout the construction supply chain. The proposed system combines Internet of Things (IoT) sensing devices, blockchain technology, cloud computing, artificial intelligence-driven analytics, and wireless communication networks to continuously monitor and record the transportation, storage, and utilization conditions of construction materials such as cement, steel, aggregates, bricks, sand, chemicals, and prefabricated components. IoT-enabled sensors installed in transport vehicles, warehouses, and construction sites collect real-time data associated with temperature, humidity, vibration, contamination, weight variation, location coordinates, and material integrity. The captured data is securely transmitted to a distributed blockchain ledger where immutable records are generated to prevent tampering, fraud, duplication, and unauthorized modifications. Smart contracts automate quality verification, supplier compliance, payment authorization, inventory validation, and delivery confirmation processes. A real-time analytics engine processes sensor data to identify material degradation, delivery delays, counterfeit products, and storage anomalies using predictive algorithms and machine learning models. The system further provides dashboards and mobile interfaces for contractors, suppliers, regulatory authorities, and project managers to visualize material movement and quality metrics in real time. The invention significantly minimizes material wastage, delays, financial losses, and quality failures while enhancing accountability, sustainability, and trust across the construction ecosystem. The proposed framework is scalable, interoperable, and adaptable for smart infrastructure projects, enabling efficient digital transformation of modern construction supply chain management systems.
Disclaimer: Curated by HT Syndication.
