Xcel Energy’s patent involves a computing system that assesses conditions in regulated facilities by analyzing CAP reports. The system uses machine learning models to generate assessments and recommendations based on extracted information, with the ability to fine-tune based on user input. The output is transmitted to a computing device for action. GlobalData’s report on Xcel Energy gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Assessing conditions in regulated facilities using machine learning models
A recently granted patent (Publication Number: US11853915B1) discloses a computing system designed to assess conditions in regulated facilities. The system includes one or more processors, a data store, and storage devices storing instructions for training multiple machine learning models to analyze corrective action program (CAP) reports. These models use historical data to classify negative conditions, generate probability distributions, and determine likelihoods of future occurrences. The system receives CAP reports, extracts condition evaluation information, applies different models to assess conditions, generates recommendations, and transmits outputs to computing devices for user interaction. User inputs trigger automatic actions, leading to iterative training of models for fine-tuning associations between evaluation information and user responses.
The computing system further refines assessments by determining criticality values, severity levels, and recommending maintenance notifications, changes in processes, and additional evaluations based on the extracted information. Models like management of change, close to actions taken, and aging management are utilized to provide comprehensive assessments related to conditions in regulated facilities. The system also assigns priorities, safety risk levels, and maintenance recommendations, with corresponding confidence values, to guide users in taking appropriate actions. By applying a series of models and evaluating their accuracy through quality assurance checks, the system ensures the reliability of its assessments and recommendations, ultimately enhancing the management of conditions in regulated facilities for improved operational efficiency and safety.
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