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HV Assets Care

Asset Management Platform

ADVANCED
ANALYSIS AND
DIAGNOSIS

The HV Assets Care platform optimizes the management of high-voltage assets, enabling offline and online monitoring, data analysis, and diagnostics.

Test the platform for 30 days, without commitment. Click on the button above to request access.

The HV Assets Care platform is a comprehensive solution that optimizes the management of high-voltage assets. It enables both offline (laboratory reports upload) and online (connected to sensors) monitoring, data analysis, and diagnostics. It has a secure interface for uploading each asset's oil analysis reports from preventive maintenance. All transmitted and stored data is encrypted using SSL/TLS and AES-256 standards. Sensors are connected to the cloud via the Sense Gate via LTE/4G.

HV Assets offers flexible subscription plans, enabling the monitoring of your entire transformer fleet. The platform subscription can be paid monthly or annually (with discounts) and can be contracted for a minimum period of one month. All stored data is preserved even with the end of the monthly contract and can be accessed again with the renewal of the subscription at any time, according to the customer's needs. Contact us to test the platform for free for 30 days, without any commitment.

Applications

The platform is used for offline data processing from oil quality analysis samples (physical-chemical) and dissolved gas analysis (chromatography), enabling uploading of the history of all preventive maintenance since commissioning for in-depth analysis.

 

In addition to enabling offline data analysis (laboratory reports), it is also used to view measurements from sensors connected to the cloud in real-time.

  • Health Index based on Dissolved Gas Analysis (DGA) and Oil Quality Analysis (OQA), enabling the generation of the transformer fleet ranking through the score.

  • Criticality Index based on the asset's value and impact on the production line in the event of failure.

  • Data Quality Index to verify the reliability of the generated score based on the date of the last update.

  • Indices developed based on methods recommended by CIGRE, International Council on Large Electric Systems.

  • DGA through consolidated methods for diagnosing defects, such as the Duval Triangle, and analysis of proportions recommended by the IEEE.

  • Advanced OQA based on the characteristics of each equipment and type of oil used.

  • Furfuraldehyde Analysis (FFA) enables the investigation of paper degradation to understand the overall condition of the transformer further.

  • Historical graphs and overview tables with market limits for analyzing data from sample reports and cloud-connected sensors.

  • All transmitted and stored data is encrypted using SSL/TLS and AES-256 standards.

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