MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074781 A) filed by Vellore Institute Of Technology on June 17, 2026, for “an Environmental Air Quality Monitoring And Prediction System”.
Inventors include Jai Kumaran G; and Senthil Kumar M.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention discloses an environmental air quality monitoring and prediction system and method integrating Internet of Things (IoT) sensors, LoRaWAN communication, explainable artificial intelligence (XAI), and hybrid deep learning techniques for real-time air quality assessment and forecasting. The system comprises distributed sensing modules configured to measure particulate matter, gaseous pollutants, temperature, humidity, and geographical location information. The collected environmental data are transmitted through a low-power long-range LoRa communication network to a cloud-based platform for storage and processing. The processing framework performs missing-value imputation, outlier detection, normalization, and spatiotemporal feature extraction. A feature selection module employing SHapley Additive exPlanations (SHAP) identifies influential environmental parameters for predictive analysis. A hybrid prediction model comprising a convolutional neural network, bidirectional long short-term memory network, and attention mechanism generates present and future air quality predictions while providing interpretable outputs. The system further includes a dashboard and alert platform configured to provide geospatial visualization, pollutant trend analysis, and automated notifications through electronic communication channels. The invention enables scalable, low-cost, energy-efficient, and explainable air quality monitoring and forecasting across urban, rural, and remote environments. Fig 1 to 5.
Disclaimer: Curated by HT Syndication.
