MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641070674 A) filed by Mrs. Vidya; and Dayananda Sagar Academy Of Technology And Management on June 06, 2026, for Ai-Enabled Self-Healing Concrete Monitoring System Using Embedded Nano-Sensors For Smart Infrastructure.
Inventor includes Mrs. Vidya.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT OF THE INVENTION: The present invention discloses an AI-Enabled Self-Healing Concrete Monitoring System utilizing embedded nano-sensors for smart infrastructure. The system integrates a network of multifunctional nano-sensors (e.g., CNT-based) dispersed within the concrete matrix to continuously monitor critical parameters such as mechanical strain, chemical composition (pH, chlorides), moisture, temperature, and acoustic signatures of damage. Sensor data is processed through edge computing and advanced AI algorithms, including deep learning models for real-time anomaly detection and predictive maintenance forecasting. Upon identification of potential or emerging micro-cracks, the AI system intelligently activates localized self-healing mechanisms. These include the rupture of embedded micro-capsules containing healing agents (bacteria producing limestone, polymers, or mineral precursors) and optional electro-kinetic stimulation. The process is autonomous, adaptive, and validated through post-repair sensor feedback, enabling continuous learning of the AI models. This integrated approach overcomes limitations of existing passive self-healing concretes and standalone sensor systems by providing proactive, data-driven intelligence. Key advantages include significant extension of structural lifespan, reduction in inspection and repair costs (up to 70%), enhanced safety, and support for sustainable development goals in smart cities. The invention is applicable to new constructions and retrofitting, with secure data integration for broader infrastructure management platforms. Embodiments detail sensor configurations, AI architectures, healing compositions, and deployment methodologies, ensuring robust performance across diverse environmental conditions.
Disclaimer: Curated by HT Syndication.
