MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123943 A) filed by Malla Reddy (MR) Deemed to be University; Malla Reddy University; Malla Reddy Engineering College For Women; Malla Reddy College Of Engineering And Technology; and Malla Reddy Vishwavidyapeeth, Medchal-Malkajgiri, Telangana, on Dec. 9, 2025, for 'iot based multi-parameter monitoring unit for electrical substations.'

Inventor(s) include Dr. Raja Reddy Duvvuru; Dr. P Sarala; Dr. Gundu Venu; Dr. Preeti Kabra; and Mr. B. Janardhan Reddy.

The application for the patent was published on Jan. 2, under issue no. 01/2026.

According to the abstract released by the Intellectual Property India: "The current invention reveals a universal Internet of Things (IoT) system of monitoring that can be applied in the harsh conditions of electrical substations. Electrical substations represent important points in the power grid, and checking of distribution transformers and switchgear is usually performed as periodically manual or costly, wired SCADA systems not available on all installations. The absence of constant monitoring causes the unnoticed defects, overheating, and disastrous malfunctions which result in the massive power outage and financial loss. The invention addresses these shortcomings by offering a retrofittable, multi-sensor device that can monitor important health indicators in real-time. The system incorporates a wide range of sensing components to measure and record data on electrical variables like voltage, current, and power factor and physical variables like transformer oil temperature, oil level, ambient humidity, and mechanical vibration. The proposed unit, as opposed to traditional systems, which send raw data in real-time, has an edge-computing enabled microcontroller that does initial data processing and anomaly detection at the unit. This makes sure that bandwidth is used in an efficient way and all the important alert signals are given priority and sent right away through wireless communication modules to a centralized cloud server. Moreover, the invention has an excellent predictive maintenance algorithm that is hosted on the cloud platform. Through the historical data pattern comparison with the real-time data, the system will be able to predict possible failures on the components, (e.g. insulation breakage or oil degradation) before it will lead to operational downtime. The information is represented in an easy to use dashboard which can be accessed by the maintenance engineers using their mobile phones or desktop computers and then observe various substations at the same time without necessarily having to be within the high voltage hazard areas. The revealed invention is also solving the issue of connectivity at remote substation sites by making it possible to support a hybrid communication architecture. The system will be programmed to alternate between Wi-Fi, GSM/4G and LoRaWAN protocols based on the availability of the signal. This redundancy is to guarantee that there is no loss of the monitoring data and a continuous report of the health of the substation is available. Such flexibility of the power distribution network by the comprehensive nature of the monitoring and the extension of the wireless feature increases the reliability and safety of the network to a great extent."

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