Galooli's AI Based
Using AI-based analysis summary fields, the user can obtain direct insights and bottom lines without having to perform the analysis himself.
Default Time Range | Max days for report execution - Limited | Max days for report execution - Extended |
7 | 92 | 366 |
Each one of the fields listed bellow will have the following “related fields”:
Active - Indicates whether the event described in the insight was active on that day ("Yes"/"No").
Description - An explanation of the case in text form. As long as the 'Active' field is set to true, the description will always exist, and will change accordingly.
Activation Date - This field will record the activation date:
In the event that the 'Active' field for the previous day was false:
In the case of the current day it is true → The current date will be presented.
Alternatively, if the alarm for the current date is false, the result will be blank.
In the event that the 'Active' field for the previous day was true:
In the case of the current day it is true → The previous value will be presented.
Alternatively, if the alarm for the current date is false, the result will be blank.
Aggregation Modes - The value of the last day of the time period will be displayed for the aggregated time range.
Aggregate - The last day included in the report will be displayed
Weekly/Monthly - The last day of the week/month for each week/month will be displayed
A daily report will be required in order to obtain a historical perspective on the insights.
Field Name | Field Description | Required Configurations |
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| The field displays the number of X-Ray values that exceed the range defined in the X-Ray table. The field indicates that the X-Ray mechanism actually works and will indicate the number of abnormalities before and after the X-Ray Set is activated. | |
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:
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| This insight displays the actions required to generator maintenance visit based on the following parameters:
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| This insight describes low fuel data quality conditions and possible reasons for that issue based on the following parameters:
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Inefficient Generator Operating Load Active/Description/Activation Date | This insight describes inefficient generator operating load conditions and possible reasons for that issue based on the following parameters:
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Redundant Generator Usage | This insight describes redundant generator usage conditions and possible reasons for that issue based on the following parameters:
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Inefficient Generator and Battery Utilization | This insight describes inefficient generator and battery utilization conditions and possible reasons for that issue based on the following parameters:
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Underused Batteries in Hybrid Sites | This insight describes underused batteries in hybrid sites, conditions and possible reasons for that issue based on the following parameters:
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Battery Charge Anomaly | This insight describes battery charge anomaly conditions and possible reasons for that issue based on the following parameters:
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