Flow rate pre-sending method, system, device and medium

By generating multi-cycle ledger data at the moment of user behavior and using compression technology and reinforcement learning model, the resource exhaustion problem caused by concentrated ledger generation pressure is solved, and the optimization of optimized scheduling and resource utilization of ledger is achieved, which is suitable for large-scale bill distribution systems.

CN120378238AActive Publication Date: 2025-07-25GUANGDONG LEGEND COMM CO LTD
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Patent Information

Application Number
CN202510839985.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-23
Publication Date
2025-07-25
Estimated Expiration
2045-06-23

AI Technical Summary

Technical Problem

At the beginning of the accounting period, the existing communications operation system lacks optimization solutions due to the complex logic of the ledger generation and diverse field structure, resulting in sudden TPS, exhaustion of IO and bandwidth resources, user bill delay and high system horizontal scaling costs.

Method used

By obtaining user package selection action instructions, generating preset period ledger data and compressing it, using reinforcement learning model to dynamically adjust the number of pre-issuance cycles, combining compression templates and differential coding technology, time-sharing activation and resource optimization of ledger data are achieved.

Benefits of technology

Without affecting the accuracy of the bookkeeping period, it significantly reduces the system's dependence on peak resources, reduces redundant expansion, and improves system stability and cost efficiency. It is suitable for high-concurrent bookkeeping systems for operators, virtual business platforms and Internet of Things platforms.

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Abstract

The invention discloses a traffic charge pre-sending method, system, device and medium, and relates to the communication field, the method comprises the following steps: obtaining a package selection action instruction of a user, the package selection action instruction comprising a package ordering action instruction and a package replacement action instruction; account book data of a preset period is generated based on the package selection action instruction, and the preset period is determined based on a pre-sending return rate; compressing the account book data of the preset period to generate compressed account book data; and after reaching a charging period, decompressing the compressed account book data to activate the account book data. On the premise that the account period accuracy and the user perception are not affected, optimization scheduling of large-scale account book issuing behaviors is achieved, the method is suitable for high-concurrency account period systems such as an operator, a virtual business platform and an Internet of Things platform, and the method has high engineering practicability and popularization value.
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