Korea Electric Power‘s patent is for a power plant early warning device using multiple prediction models to detect defects in equipment operation. The device receives monitoring signals, quantifies reliabilities, calculates final prediction values, compares with actual measurements, and triggers warnings for abnormalities. GlobalData’s report on Korea Electric Power gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Korea Electric Power, Blockchain-based energy trading was a key innovation area identified from patents. Korea Electric Power's grant share as of March 2024 was 67%. Grant share is based on the ratio of number of grants to total number of patents.

Power plant early warning device for defect detection

Source: United States Patent and Trademark Office (USPTO). Credit: Korea Electric Power Corp

The granted patent (Publication Number: US11960271B2) discloses an apparatus designed as a power plant early warning device to be installed within a power plant. The device is equipped with a signal measurement unit that receives analog monitoring signals related to the operating states of equipment in the power plant, such as pressure, temperature, and flow data. The signal measurement unit conducts analog-to-digital conversion to transmit digital signals, allowing the device to analyze and quantify the received information to predict potential defects in the equipment's operation. By comparing the final prediction value with actual measurement values, the device can determine if a defect exists and trigger a warning if the residual falls outside the normal range.

Furthermore, the apparatus includes a mechanism to assign ranks to the prediction values based on their reliability, with the highest rank being given the most weight in calculating the final prediction value. The patent also details the use of specific algorithms tailored to each operating state to determine the prediction values, ensuring a comprehensive analysis of the equipment's condition. This innovative approach aims to enhance the early detection of defects in power plant equipment, ultimately improving operational efficiency and reducing the risk of unexpected failures.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.