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Documentation Index

Fetch the complete documentation index at: https://docs.siftstack.com/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

Now that you have explored the dataset and visualized key signals, this step shows you how to formalize your observation by creating a Rule. In Sift, Rules are reusable logic expressions that automatically detect patterns or thresholds in telemetry data. When you notice an unusual behavior such as a sudden temperature drop, you can turn that insight into a Rule so that future data is automatically monitored for similar conditions. In the dataset, we can see a sharp and sudden decline in both max_air_temp(C) and max_ground_temp(C). The image below shows that on October 6, 2021, at 17:00:00, both signals dropped well below their normal range. This event may reflect an unexpected environmental condition, like a cold front, or possibly a brief telemetry issue. By capturing this behavior in a Rule, you ensure that future datasets are automatically checked for similar anomalies and brought to your attention for review.

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Create a Rule

To monitor this anomaly in future data, we will define it as a Rule that Sift can automatically detect and highlight during ongoing telemetry analysis.
  1. In Sift, click .
  2. Click the Rules tab.
  3. Click New Rule.
  4. In the Rule name box, enter the following: 
    fl_low_max_temp_anomaly
  5. Replace fl with your own initials.
  6. In the Asset name, select your Asset (for example, fl_mars_env_monitoring_station).
  7. In the Input Channels list, select the following Channels:
    • max_air_temp(C)
    • max_ground_temp(C)
  8. In the Enter an expression box, enter: 
    $1 < -50 && $2 < -60
  9. Click Save.