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AI-Based Analysis - Fuel

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Field Name

Field Description

Required Configurations

Urgent Need for Tank Refuel

Active/Description/Activation Date

 This insight displays the actions required to refuel the generator's fuel tank based on the following parameters:

  • Current fuel level

  • The average fuel consumption rate per hour over the past week

  • The average number of hours that an engine runs each day

  • Travel duration to the site

 

Low Fuel Data Quality
Active/Description/Activation Date

This insight describes low fuel data quality conditions and possible reasons for that issue based on the following parameters:

  • Fuel data quality score

  • Fuel configurations in the system

  • Fuel availability or minor differences between measured operational consumption

  • Estimated load-based consumption

 

Fuel X - Generator Load based Consumption [Liter/H]

Whenever there's an illogical result in the system fuel consumption parameters (Generator X Operational Consumption [Liter/H]), the CPH field will show an estimated consumption based on the generator's load and the KVA.

Logic:

  1. Use the value of the parameter "Generator X Operational Consumption [Liter/H]" if it doesn't out of the valid range (Based on internal valid ranges CPH table)

  2. If "Generator X Operational Consumption [Liter/H]" values are out of this range, than use the calculation Y=CPH Result, X = Generator Load [%]:

    Generator Load [%] = (Generator1/2 Load Power - Avg [kW])/(0.8 * Additional info → Generator.Generator1/2.KVA)

 

 Generator KVA must be configured below the additional info

Fuel X - Estimated Days to Refuel

 Based on the system's knowledge of the average fuel consumption at the site, the fields calculate the number of days until the fuel in the tank runs out (for tanks 1 and 2 separately).

 

Fuel X - Data Quality [%]

Logics and calculations performed internally by Galooli that result in a score (0 to 100) that is impacted by the following situations:


Fuel X Data Quality Possible Reasons

Comment explaining why a site received any data quality score. It would also serve as a guide for the technician who is sent to the site to resolve the problem.

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