i-EM for hydro

Get the best from your data gathering

Hydro 

Our services enhance the capabilities of hydro assets, making possible to get optimal performance, by reducing production loss and improving O&M scheduling. Our software enables plant asset managers to create more value from data gathering, through big data analytics, Machine Learning and Artificial Intelligence techniques.

EFFICIENCY IMPROVEMENT

Detection of non-optimal operations and of their impact on energy production.

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FAILURE ANTICIPATION

Early detection of faults, by identifying root causes in an autonomous way to minimize downtimes.

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SENSORS ANALYSIS

Analysis of sensors behavior in order to identify anomalies in the transmission of information.

KNOW-HOW EMPOWERING

Smart sharing of knowledge about components and analyses among plants’ operators.

Plants

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Hydro 

Advanced Digital Condition Monitoring

The true value from hydro fleets data gathering and analysis

Our software combines data gathering and big data analytics application obtaining the digitalization of sophisticated risk-based decision-making tools, to optimize near-term O&M asset management plants in order to maintain, overhaul or replacing the most critical components of the fleets. i-EM has developed, customized and trained advanced algorithms able to perform deep and multivariate analysis on plants data, in order to allow hydro O&M operators to take appropriate decisions and apply strategies to extract the best achievable value, exploiting all of the information contained in data themselves.

Data Exploration

Goal:

  • Monitor signals from the plant

Features:

  • Visualize time trend of the signals
  • Scatter plot between two signals

Data quality check

Goal

  • Identify criticalities on sensors and data transfer/acquisition chain

Features:

  • List of bad/good signals visible and exportable as text file
  • More information available for each signal with time trend, distribution histogram and detailed quality report

Efficiency analysis

Goal:

  • Monitor the working efficiency of the plant and identify not-optimal periods or GUs management

Features:

4 different kind of scatter plots:

  • Efficiency VS water flow
  • Efficiency VS net head
  • 3D plot: efficiency VS water flow VS net head
  • Efficiency VS water flow with reference to historical efficiency curves
  • Filter on regular and transient data

Analytics as a Service

Goal

  • Identify and predict anomalous condition on the plant, exploiting operators experience

Features

  • Customized signals selection as input of the multivariate statistical model (data quality results are indicated in order to select only signals with the best quality)
  • Customized definition of training and test time period
  • KPI visualization, warning indication and most critical signal detection for the test period

Analytics as a Service: Output

Goal

  • Identify and predict anomalous condition on the plant, exploiting operators experience

Features

  • Customized signals selection as input of the multivariate statistical model (data quality results are indicated in order to select only the signals with the best quality)
  • Customized definition of training and test time period (real-time runs also available)
  • KPI visualization, warning indication and most critical signal detection for the test period
  • Comparison between measured variable and simulations from an ensemble of ML models

Download our Success Case

“We received benefits from i-EM monitoring platform and from their statistical analyses”

Head of Hydro Innovation
Enel Green Power

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WANT TO KNOW MORE?

Write directly to us and we will find together the best solution to meet your needs