// SOLUTIONS FOR

The Electric Power Industry

At Nuxtu we have developed a variety of solutions that meet the needs of our clients through an added value process that includes on–site tests, data analysis, process optimization, implementation of monitoring and control programs to guarantee the reduction of operating costs, thus providing early warnings about failures and avoiding sanctions by the control entities that surveil each industry.

UXU

// PROCESS OPTIMIZATION

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.

01
Machine Learning

Behavior Predictions

02
Inteligencia Artificial

Process Optimization

03
Monitoring and Control

Risk Mitigation

// UXU

Benefits

Optimization

Process optimization and reduction of maintenance costs.

Analysis

With the analysis of historical data, Uxu’s technology is capable of making preventive maintenance decisions.

Avoid Sanctions

Avoid sanctions by control entities for unforeseen failures in power transformers.

// UXU/ EXCLUSSIVE TECHNOLOGY

Gas Analysis

We are the only company in the world with technology that is capable of performing on-site analysis of dissolved gases and physicochemical properties in power transformers.

// IOT TECHNOLOGIES

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.

// WITH BIG SENSING

Prediction Panel

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.

// Projects

Companies that trust us

Emilia Clarke
Proyecto RHIINO
Enel-Emgesa
Problem:
There is a significant risk to operating personnel working in confined areas due to exposure to high concentrations of toxic gases.
. . . .
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.
. . . .
Stage:
In development
Emilia Clarke
Enel
Oil analysis of power transformers
Problem:
Lack of early warning monitoring for preventive maintenance of power transformers.
. . . .
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.
. . . .
Stage:
In development

We are able to obtain analysis results in less than 20 minutes

LEARN HOW HERE