Galooli's AI Based Reports available only to organizations with a Gold license.
Using AI-based analysis summary reports fields, the user can obtain direct insights and bottom lines without having to perform the analysis himself.
AI Based Reports fields highlights:
Quickly assess whether the site has any issues.
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If an issue exists, receive comprehensive data in a single text output, eliminating the need to run multiple reports and queries.
Discover potential causes that may have led to the issue.
Follow recommended actions to determine the necessary steps for addressing the issue and making progress.
Default Time Range | Max days for report execution - Limited | Max days for report execution - Extended |
7 | 92 | 366 |
Most of the fields listed bellow will have the following “related fields”:
Active - Indicates whether the event described in the alarm insight was active for 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.
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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.
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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
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This field describes 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
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This field describes the actions required to generator maintenance visit based on the following parameters:
Generator typical usage patterns
Estimated days to the next generator maintenance
Travel duration to the site
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Low Fuel Data Quality
Active/Description/Activation Date
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Inefficient Generator Operating Load Active/Description/Activation Date
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Redundant Generator Usage
Active/Description/Activation Date
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Inefficient Generator and Battery Utilization
Active/Description/Activation Date
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Underused Batteries in Hybrid Sites
Active/Description/Activation Date
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