Anomaly List View
The Anomaly Analysis view on AlphaX allows users to manage, analyse, and customise anomaly analysis in IoT/OT environments efficiently.
Last updated
The Anomaly Analysis view on AlphaX allows users to manage, analyse, and customise anomaly analysis in IoT/OT environments efficiently.
Last updated
The Anomaly Analysis view on the AlphaX IoT Platform provides a user-friendly interface to manage and analyze anomalies. With features like dynamic filtering, customizable table views, and easy-to-use actions, users can efficiently monitor and maintain their IoT/OT environments. Whether you're creating a new detection, sharing results, or editing existing setups, the Anomaly Analysis view is a powerful tool for proactive anomaly management.
Located at the top right of the table, the Create button allows users to initiate a new anomaly detection setup. Clicking this button will open a Wizard that guides you through the steps to configure a new anomaly detection model.
At the top left of the table, there is a Filter Input Field. This search box allows users to dynamically filter the list of anomaly detections by typing in keywords. As you type, the list will automatically update to show only the entries that match your search criteria.
On the top right of the table, you will find three important icons:
Column Visibility Icon: Clicking this icon allows you to toggle the visibility of columns in the table. This is useful for customizing the view to display only the most relevant information.
Export Icon: This icon provides options to download the table data in various formats, including CSV, XLS, and PDF, or to copy the data to your clipboard.
Maximize Icon: The final icon allows you to maximize the table, which is particularly useful when working on tablets or smartphones. Maximizing the table hides non-essential UI elements to provide more screen space for viewing the table data.
The table in the Anomaly Analysis view is structured to provide detailed information about each anomaly detection setup. Below is an explanation of each column:
Description: This column contains a descriptive name for the anomaly detection setup. It helps users quickly identify the purpose or context of each detection.
Model Status: Indicates the current operational status of the model, such as REAL TIME if the model is actively monitoring and processing data.
Type: Specifies the type of data series the anomaly detection is applied to, such as an "Entire Series" or "Change Point" of data points.
Entity: Refers to the specific entity or project associated with the anomaly detection.
Public Link: If enabled, this column provides a shareable link to the anomaly detection's results. Users can click the link to access the results directly.
Sensor: This column lists the specific sensor(s) involved in the anomaly detection, along with additional details such as location and sensor type.
On the far right of each row in the table, there is an Actions column with several interactive icons:
Copy Link Icon: Copies the public link to the clipboard. This is useful for sharing the anomaly detection results with others.
View Icon: Directs users to the detailed anomaly detection view, where they can analyze the specific data and results.
Edit Icon: Opens a modal popup that allows users to edit the details of the anomaly detection setup, such as modifying the model parameters or updating the description.
Copy Icon: Duplicates the selected anomaly detection setup. This feature is useful when you want to create a new anomaly detection with similar settings.
Delete Icon: Removes the anomaly detection setup from the system. Be cautious when using this option, as it permanently deletes the entry.
At the bottom right of the table, the Pagination Controls allow users to navigate through multiple pages of anomaly detection setups. This feature is helpful when there are numerous entries, enabling users to easily browse through the list.