MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641062245 A) filed by Ms. Eliganti Ramalakshmi; Dr. Nagini Yarramsetty; Ms. Jyothirmayi Narne; Dr. V Jaipal Reddy; Ms. Varimadugu Sandhya; Dr O. Hemalatha; Dr. Md. Aleem Pasha; and Dr. K. Gurubrahmam, Hyderabad, Telangana, on May 16, for 'cognitive thermal regulation framework for energy-efficient refrigeration systems.'
Inventor(s) include Ms. Eliganti Ramalakshmi; Dr. Nagini Yarramsetty; Ms. Jyothirmayi Narne; Dr. V Jaipal Reddy; Ms. Varimadugu Sandhya; Dr O. Hemalatha; Dr. Md. Aleem Pasha; and Dr. K. Gurubrahmam.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a cognitive thermal regulation framework for energy-efficient refrigeration systems configured to provide intelligent cooling management, adaptive thermal control, and optimized energy utilization. The disclosed framework comprises thermal sensing modules, humidity monitoring units, airflow regulation components, compressor control circuitry, a cognitive processing unit, and an energy optimization module integrated within a refrigeration architecture for continuously monitoring and regulating cooling operations. The thermal sensing modules collect real-time environmental and operational data including temperature variation, airflow conditions, humidity levels, compressor activity, door status, and ambient environmental changes. The cognitive processing unit analyses the acquired data using predictive thermal regulation algorithms and adaptive decision-making mechanisms to dynamically adjust cooling parameters. The framework further controls compressor operation, airflow distribution, and cooling cycle frequency according to predicted refrigeration demand for reducing unnecessary energy consumption while maintaining stable thermal conditions. The invention additionally includes intelligent airflow management mechanisms for maintaining uniform cooling distribution within refrigeration compartments and minimizing localized thermal imbalance. In certain embodiments, the framework supports Internet of Things (IoT) integration, cloud-based monitoring, remote diagnostics, and automated operational control through wireless communication interfaces. The disclosed system may be implemented in domestic refrigerators, commercial cooling units, industrial cold storage systems, refrigerated transportation platforms, pharmaceutical storage facilities, and biomedical refrigeration applications. The invention further provides intelligent anomaly detection and adaptive thermal response mechanisms for improving refrigeration reliability and operational safety. Accordingly, the cognitive thermal regulation framework offers improved energy efficiency, enhanced thermal stability, reduced compressor cycling, optimized refrigeration performance, and sustainable cooling management compared to conventional refrigeration systems."
Disclaimer: Curated by HT Syndication.
