We perform the analysis of the functional status of power transformers
We are able to measure several physicochemical parameters in less than 30 minutes, guaranteeing quick responses to determine the functional status of a power transformer and issuing a report of possible errors and warnings to carry out preventive maintenance, avoiding cost overruns and failures in the electrical service provision.
UXU can operate in extreme conditions without any existing limitations related to weather conditions.
Monitoring and Control
Big Sensing for the Electric Power Industry
Through the use of machine learning algorithms, we are able to make projections about the functional status of the power transformers, taking into account the results of the physicochemical characterizations, their historical behavior, the type of economic activity that feeds the transformer (industrial, construction, trade, etc.), variations in climate, meteorological phenomena, brand and years of use, among many other variables.
Along these lines, it is possible to determine the appropriate time to perform maintenance and thus reduce failure-associated risks that can result in significant financial penalties.
Big Sensing has a panel that allows for predicting the behavior of the parameters of interest in the medium-term (6 months) and long-term (1 year or more), using machine learning algorithms, historical records and independent variables (climatic, demographic and economic variations) that may indirectly influence the parameters to be evaluated.
Companies that trust us
Problem:There is a significant risk to operating personnel working in confined areas due to exposure to high concentrations of toxic gases.
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Solution:Designing and developing of a robot called RHIINO, capable of detecting dangerous gases in confined areas with precision, thanks to an electronic nose and its artificial intelligence algorithm. Thus, it is possible to carry out inspections of confined areas safely, and generate early warnings about the possible presence of high concentrations of toxic gases, significantly reducing the risk of exposure to operators.
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EnelOil analysis of power transformers
Problem:Lack of early warning monitoring for preventive maintenance of power transformers.
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Solution:Through Nuxtu´s technology, which implements artificial intelligence, the analysis of gases dissolved in the dielectric oils inside the power transformers was carried out, creating early warnings in order to carry out preventive maintenance, avoiding system failure and economic sanctions by control entities.
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We are able to obtain analysis results in less than 20 minutes