An adaptive flow control method based on print content feature analysis

By using an adaptive flow control method based on the analysis of printed content characteristics, the printhead temperature and data transmission strategy are dynamically adjusted, solving the problem of improper buffer management in existing technologies. This enables accurate prediction and control of buffer overflow, improving the efficiency and reliability of the printer.

CN121979464BActive Publication Date: 2026-06-26LICHU BUSINESS
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Patent Information

Application Number
CN202610439132.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-04-03
Publication Date
2026-06-26
Estimated Expiration
2046-04-03

AI Technical Summary

Technical Problem

Existing flow control technologies cannot adapt to differences in print content density, device thermal characteristics, and communication environments, leading to improper buffer management and the risk of buffer overflow during long-term continuous printing.

Method used

By segmenting and analyzing the data stream to be printed, extracting energy density characteristics, calculating virtual heat values ​​and temperature correction factors, dynamically adjusting the waiting time based on the number of bytes in the data segment and the transmission rate, and using a sliding window to update the error ratio queue and an adaptive grading threshold to adjust the baseline coefficient, accurate prediction and control of buffer overflow can be achieved.

Benefits of technology

It achieves accurate prediction and control of buffer overflow risk, improves the reliability and adaptability of flow control algorithm in complex application scenarios, and significantly improves printing efficiency and reliability.

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Abstract

The application provides a self-adaptive flow control method based on printing content feature analysis, relates to the field of data flow control of a thermal printer, and comprises the following steps: segmenting a to-be-printed data stream and extracting energy density values of each data segment; calculating a virtual heat value in an iterative mode, calculating a physical printing time consumption; calculating a transmission time consumption according to the number of bytes of the data segment and the effective transmission rate of a communication interface; obtaining an actual time consumption of the data segment from sending completion to printing completion, obtaining an error ratio based on the ratio of the estimated time consumption to the actual time consumption, updating an error ratio queue by using a sliding window and calculating the standard deviation thereof, determining a self-adaptive grading threshold value according to the standard deviation, updating a reference coefficient according to the grade to which the error ratio belongs, and dynamically adjusting a heat dissipation attenuation coefficient based on actual time consumption feedback and a virtual heat state. The application realizes accurate prediction and control of the risk of buffer overflow.
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