Data processing method, apparatus, device, medium, and program product

By compressing alarm data, extracting dynamic parameters, and mapping alarm areas, the problem of high latency and high bandwidth between multiple data centers is solved, achieving efficient data transmission and processing.

CN122340187APending Publication Date: 2026-07-03INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
Filing Date
2026-02-28
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

In multi-data center monitoring, the concurrent transmission of massive alarms consumes network bandwidth across data centers, resulting in high latency and high bandwidth consumption in alarm response, which affects data processing efficiency.

Method used

By compressing alarm data, extracting dynamic parameters for separate transmission, compressing other data using data mapping, and adding first alarm data indicating the alarm area to the compressed alarm data, the transmission bandwidth usage is reduced, and the alarm area can be determined at the data receiving end without reconstruction.

Benefits of technology

It effectively reduces the transmission latency and bandwidth consumption of alarm data between multiple data centers, improves data processing efficiency, and ensures that the data receiving end can quickly store and process alarm data.

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Abstract

This application provides a data processing method, apparatus, device, storage medium, and program product, which can be applied to the fields of big data technology and fintech. The method includes: acquiring raw alarm data; the raw alarm data includes first data indicating an alarm address and second data indicating alarm content; determining an alarm area based on the first data, and mapping the alarm area to obtain first alarm data; the first alarm data is used by a data receiving end to determine the alarm area where a data sending end is located; extracting dynamic parameters from the second data, and generating second alarm data based on the dynamic parameters; mapping the first data and second data to obtain third alarm data; concatenating the first alarm data, second alarm data, and third alarm data to obtain compressed alarm data of the raw alarm data; and sending the compressed alarm data to a data receiving end.
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