Method and apparatus for determining valid data of device data, and computer program product
By using the decision tree model to classify the device data in the device data, and training a decision tree model for each device data, solving the data conflict problem caused by the effective judgment error of the device data in the prior art, and achieving more accurate and effective data judgment.
CN119646677APending Publication Date: 2025-03-18GREE ELECTRIC APPLIANCE INC OF ZHUHAI +1
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Patent Information
- Application Number
- CN202411873627.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-18
- Publication Date
- 2025-03-18
AI Technical Summary
Technical Problem
In the prior art, the problem of data conflicts caused by errors in the effective judgment of equipment data.
Method used
The decision tree model is used to classify the device data. By training the data to be valid and invalid data with the classification number, a decision tree model is trained for each device data to determine the valid data in the device data.
Benefits of technology
It solves the problem of data conflict caused by errors in the effective judgment of equipment data, and avoids inaccurate judgment of effective data caused by factors such as network delay.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides an effective data determination method and device for equipment data and a computer program product, and the method comprises the steps: obtaining the equipment data which comprises offline data, state data, control data and response data; the decision tree models are adopted to classify the corresponding equipment data to obtain valid data in the equipment data, the decision tree models are in one-to-one correspondence with the types of the equipment data, and the decision tree models are obtained by training the valid data and invalid data of one type of equipment data; the problem of data conflicts caused by effective judgment errors of equipment data in the prior art is solved.
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