Internet of Things data processing method, system and equipment based on large model, and medium
Through large-scale analysis of user requirements, FlinkSQL statements are generated and verified, combined with stream processing technology, the flexibility and efficiency of traditional IoT platforms in high concurrency, diversity and real-time data processing are solved, and efficient and accurate data is achieved deal with.
Patent Information
- Application Number
- CN202411274957.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-12
- Publication Date
- 2024-12-20
AI Technical Summary
When traditional IoT platforms process high concurrency, diversity and real-time data, they lack intelligent optimization and limited flexibility, resulting in developers spending a lot of time and effort to write FlinkSQL, which increases costs and reduces data processing speed and accuracy. sex.
The large model is used to parse user requirements into FlinkSQL, and the SQL statements generated through sample data verification are combined with stream processing technology to optimize the data processing process and improve data processing efficiency.
It realizes that IoT platform users quickly generate efficient and accurate FlinkSQL statements with the assistance of large models, improves the flexibility and accuracy of data processing, reduces labor costs, and improves data processing efficiency.
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Figure CN119167919A_ABST
Abstract
Citation Information
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Internet of Things equipment message data analysis method, system and equipment based on large model, and medium
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