Utilities Tech Outlook Weekly Brief
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In the utility industry, computer vision solutions and future services can utilize technologies' potential to improve efficiency, accuracy, and reliability.
FREMONT, CA: In the utility industry, all decisions are made based on data. People in charge need good data to make decisions that affect reliability, efficiency, and safety. Utility asset data is essential for making decisions about maintaining and running networks in emergencies. Artificial intelligence is a key technology as the company develops new solutions for the utility industry.
The new data quality program model is an advanced technology solution that helps utilities with large asset datasets get better data quality. The model improves the quality of data and the speed with which it is reviewed. It lets utility companies build on their data foundations. Utility analytics targets the dataset to train and test the model based on clustering. In general, data clustering is the process of grouping or clustering records based on how similar they are.
Provides specific information
The basic machine learning solution is first to find a problem to solve, gather data, use feature engineering, choose an algorithm, train, test, revise, and apply the solution. It aims to change the data into a language the computer can understand while keeping the information in the data. Simple ways to do feature engineering are to standardize and clean the data with tools for data manipulation. Coding and storing the information in the spatial part of asset datasets is a challenge unique to the utility space. Using knowledge of geographic information systems (GIS) to deal with the problems of encoding spatial information is beneficial. It adds more dimensions to the dataset and gives the model more information to learn from.
Future developments in computer vision applications
Using computer vision techniques to help solve problems with spatial analysis is essential. Computer vision is the process of teaching a model to recognize objects or areas in image data and to do the same or better job than a person given the same task. In the utility industry, this is usually done with the help of satellite and aerial imagery. These computer vision techniques could help with operations support, asset maintenance, risk assessments, load forecasting, and putting service areas into groups.
