MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202641112075 A) filed by Sudhakar K Bharatan; P S Prem Kumar; M Sankar; S Palanikumar; V Raguram; and R Sharvesh on September 18, 2026, for Iot Based Air Quality, Noise And Luminance Monitoring Nodes For Smart City Initiatives.
Inventors include Sudhakar K Bharatan; P S Prem Kumar; M Sankar; S Palanikumar; V Raguram; and R Sharvesh.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: TThhiiss invention introduces an loT-enabled automated system for the precise monitoring and visualization of ambient air quality and physical stressors (Noise & Light) pollution, addressing critical challenges in environmental safety. Environmental monitoring is essential for identifying harmful pollutants like NO2, S02, and PM2.5, which can pose severe respiratory and cardiovascular health risks if unmanaged. Existing manual or fragmented pollution monitoring methods are often localized, time-consuming, and lack real-time data accessibility, limiting their utility, especially in rapidly expanding urban and industrial regions. The system employs a comprehensive multi-sensor array to measure critical physical stressors. Electrochemical and particulate sensors detect noxious gases (NO2, SO2, NH3) and suspended particulate matter (PM2.5, PM1 0), while integrated acoustic and optical sensors determine noise levels and light intensity (lux). The sensor data are then transmitted to a Raspberry Pi Zero 2 W processor, which drives a 3.5-inch TFT display for continuous, localized, real-time visualization without requiring an external computer. The physical design emphasizes measurement accuracy, reliability, and portability. To ensure precise gas sampling, a 12V DC centrifugal air inlet fan works in tandem with a dust filter to draw ambient air into a dedicated sensor chamber, improving sensor exposure while reducing contamination from larger particles. The PM sensors utilize a separate dust intake, while the noise and light sensors are strategically exposed externally for unimpeded sensing. The entire architecture is powered safely for portable operation using a 4S Lithium-Ion battery pack equipped with a Battery Protection System (BPS), a dedicated charging module, and DC-DC buck converters. 13 FT UFFICP .1 A The modular system is scalable, adaptable for residential or industrial applications, and integrates seamlessly with IoT networks and localized SD card data logging, supporting smart city initiatives. Fail-safe physical designs, such as the active filtered airflow and independent sensor placement, prevent sensor degradation and enhance overall hardware reliability. Environmental sustainability is prioritized through low-power components and efficient battery management, ensuring minimal ecological impact during continuous operation. This innovation advances public health by automating environmental tracking and eliminating the data delays of manual assessments. Real-time visualization enables rapid responses to toxic gas spikes or pollution anomalies, safeguarding communities. The invention aligns with Sustainable Development Goals (SDG 3 and SDG 11), providing an affordable, scalable, and sustainable data-driven solution for maintaining a healthy living environment.
Disclaimer: Curated by HT Syndication.
