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AI Diagnosis Instructions

-----Find problems quickly, and it becomes smarter the more you use it

1. Entry from the Main App Screen

Log in to the Device Smart app and tap the green button in the lower-right corner of the main screen to enter AI Diagnosis.

AI entry 1AI window

If the diagnosis result is helpful, you can give it a thumbs-up so the AI remembers it as a correct answer. If it is not helpful, give a thumbs-down and provide the correct information to improve future answers.

Thumbs upThumbs down

2. Entry from a Device

Log in to the Device Smart app, open the device, and tap Expand More when online or Offline Diagnosis when offline.

Expand moreOffline diagnosisInterpret device

Tap Interpret Device and then Start Diagnosis. AI automatically analyzes the device. If the device has been diagnosed before, historical diagnosis time and results are displayed.

Interpret device page

3. Alarm AI Diagnosis

When a device triggers an alarm, open the alarm page in the app and tap AI Diagnosis under the alarm record. AI analyzes the alarm together with device operation data and provides suggestions.

Alarm AI diagnosis

4. Add Knowledge in the Backend

Log in to the backend at http://static-admin.thingsrun.com and open AI Diagnosis Management from the left menu.

AI diagnosis managementAdd knowledge

Fill in the title, status, and knowledge content in the dialog, then click Save. Draft content is not available to AI. Published content can be queried by AI, and associated products make diagnosis more targeted.

Knowledge dialog

5. Notes on AI Diagnosis Results

As the backend data and fault knowledge base continue to improve, AI diagnosis will keep evolving and become more capable.

AI diagnosis depends on backend system data, the vendor fault knowledge base, and large-model search analysis. Please use the result as a careful reference rather than the only basis for decision-making.

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