Observation Report
Users can get a report of all inspection results after finishing their work. The report includes all verified observations registered for relevant assets. Users can include the ignored and invalidated AI suggestions as well in the exported file.
How to Export an Observation Report
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Click on the "Export" button. The Export pop-up window is opened.
NB: If there are two worksets in the dataset, then the first popup window provides the options to select either Observation or Inventory results to export. By default, the Observation option is selected. If only one workset was created, it automatically selects the workset type to export and skips the first Export pop-up window.
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Select which assets to include:
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Assets with observations: Selecting this option means the export file will only include those assets that have registered defects.
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All assets: Selecting this option means the export file will include all assets that have registered defects and assets that have not. In other words, it includes all assets available in the dataset.
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Click on the “Next” button. A new pop-up window is displayed where the user can include images and/or to include ignored AI suggestions and/or to include invalidated AI suggestions. These three additional options are optional.
NB: If none of these additional options is selected then only Validated and Manually registered defects are included in the exported file.
Either Select the desired additional option to include in the exported file or skip it by just clicking on the Next button without selecting any options.
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Click on the “Next” button which opens up another pop-up window providing the option for selecting the file format either CSV or JSON. y default, CSV file format is selected.
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Click on the “Export” button after selecting the desired file format. Now the export starts processing.
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After that, the recently exported file is listed in the “EXPORT” section and it is available there to download for 48 hours. It also displays the username who has created the export. The active export file is listed in the export section.
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Hover over the exported list where the folder icon alters into the download icon. Click to download the export file.
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The file is zipped and saved locally. A local computer window will automatically pop up to show the downloaded report.
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After 48 hours, the export file will no longer be available for download and no longer be available under the Export section. It is displayed under the Historical reports tab. New export can be created by clicking on the "Export" button.
Example of exported file for Observation - CSV
Data dictionary of the exported file
| Field name | Definition | Value |
|---|---|---|
| Dataset | Name of the dataset | |
| Asset Identifier | Asset Identifier from the Asset information file | |
| Asset Name | Asset Name from the Asset information file | |
| Image | Name of the image showing the defect | |
| Component | Name of the component to which the defect is registered | |
| Observation | Name of the registered defect | |
| Problem_Id | Internal eSmart Id | |
| Status | Status of defect registration | Manually registered: Defect that is registered manually by the reviewer Al validated: AI suggestion that is validated by the reviewer Al invalidated: Declining the AI suggestion Ignore: AI suggestion that is dismissed by the reviewer |
| Severity | Severity level of the defect | Low, Medium, High NB: The default severity level of Al suggestion is always set as Low |
| Defect Registration Date | Date when the defect is registered | |
| Comment | Comment if registered by the reviewer | |
| Asset Latitude | Asset Latitude from the Asset information file | |
| Asset Longitude | Asset Longitude from the Asset information file | |
| Bounding box X1 | Horizontal address on the top left of the bounding box | |
| Bounding box Y1 | Vertical address on the top left of the bounding box | |
| Bounding box X2 | Horizontal address on the bottom right of the bounding box | |
| Bounding box Y2 | Vertical address on the bottom right of the bounding box | |
| Associated Images | Names of the images associated with the same asset as the image with the defect | |
| Defect_Id | Internal eSmart Id for defect | |
| Confidence Score | Confidence Score of the defect if suggested by eSmart AI. | |
| GridVisionObservationLink | Link to Grid Vision where the reported observations can be viewed |
Example of exported file for Observation - JSON
[
{
"Format": {
"Version": "1.1"
},
"SourceSystem": "esmart-inspection-4fc65609-9a42-4fbe-9fe7-77213e50f6b2",
"Data": [
{
"Identifier": "93480",
"AssetName": "93480",
"AssetLatitude": 60.70447907,
"AssetLongitude": 11.32660963,
"DataType": "defect",
"Items": [
{
"Defect": {
"Id": "550b8997-fb5e-4626-90c9-4fd611d7b3a6",
"RegisteredAt": "2022-06-29",
"Status": "AI validated",
"Severity": "Low",
"Comment": "test",
"Image": {
"FileName": "DJI_0427.JPG",
"Points": [
{
"X": 0.46,
"Y": 0.4673333333333333
},
{
"X": 0.5385,
"Y": 0.6196666666666667
}
]
},
"ObservationScore": 0.96,
"Children": []
},
"Component": {
"Name": "Pole"
},
"Problem": {
"Name": "Woodpecker damage",
"Id": "968bb8b8-1db8-4010-aa69-f69736eeebb2_7621455b-27b3-41fd-9645-5c140b0833de"
},
"Metadata": {
"Source": "manual",
"MlVersion": null
}
},
{
"Defect": {
"Id": "f008c9e5-73b5-467f-b722-b6169eea196c",
"RegisteredAt": "2022-06-29",
"Status": "AI validated",
"Severity": "Low",
"Comment": null,
"Image": {
"FileName": "DJI_0428.JPG",
"Points": [
{
"X": 0.482,
"Y": 0.5433333333333333
},
{
"X": 0.56625,
"Y": 0.7066666666666667
}
]
},
"ObservationScore": 1.0,
"Children": []
},
"Component": {
"Name": "Pole"
},
"Problem": {
"Name": "Woodpecker damage",
"Id": "968bb8b8-1db8-4010-aa69-f69736eeebb2_7621455b-27b3-41fd-9645-5c140b0833de"
},
"Metadata": {
"Source": "manual",
"MlVersion": null
}
}
],
"LinkedImages": [
{
"FileName": "DJI_0425.JPG"
},
{
"FileName": "DJI_0426.JPG"
},
{
"FileName": "DJI_0427.JPG"
},
{
"FileName": "DJI_0428.JPG"
}
],
"Requirements": [],
"DatasetName": "new-export-test",
"GridVisionObservationLink": "https://dev.gridvision.com/example/inspect/datasets/b3085ce7-2523-4bd8-b8ed-fcecd05bd46c/workset/b1977935-ee3c-4ea2-9fdb-479ad9f9a7f4/tasks/0cd228e1-5985-4b9b-96c6-a6c8ff867ed6/assets/854b2bd8-f2f9-47a9-9c7a-d760f6994413"
}
]
}
]