A big data playback system and method based on a data layering algorithm

By using a data layering algorithm based on the Zarr format, the problem of data visualization during artillery continuous firing was solved, achieving efficient data playback and visualization, reducing system load, and improving interactive performance.

CN122153141APending Publication Date: 2026-06-05NANJING UNIV OF SCI & TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING UNIV OF SCI & TECH
Filing Date
2026-03-05
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

In the process of continuous artillery firing, existing technologies make it difficult to effectively visualize high-frequency, high-precision multi-source time series data on the host computer, resulting in problems such as dropped frames during interaction, large memory consumption, and latency jitter.

Method used

A data layering algorithm based on the Zarr format is adopted, which realizes the layered storage and visualization playback of data through an overview drawing module, an eight-channel data decomposition module, a Zarr multi-layer data pyramid construction and storage module, a window point budget real-time calculation module, a layer selection and block reading module, a visualization secondary thinning module, and a front-end rendering and drawing module.

Benefits of technology

It enables smooth playback and high-fidelity visualization of complex signals with wide dynamic range and transients in the tens of gigabyte range, reducing the upper limit of the number of points and the difficulty of linear memory growth in traditional host computers, and improving interaction efficiency.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122153141A_ABST
    Figure CN122153141A_ABST
Patent Text Reader

Abstract

The application relates to the technical field of big data visualization, in particular to a big data playback system and method based on a data layering algorithm, which comprises an eight-channel data decomposition module, a Zarr multi-layer data pyramid construction and storage module, an overview drawing module, a window point budget real-time calculation module, a selected layer block reading module, a visual secondary thinning module and a front-end rendering drawing module. The application takes the Min-Max method as an algorithm basis, designs a bucket sampling data structure based on the Zarr format, and performs data pyramid layering on 8-channel 100-GB-level data. Based on the data layering structure, the application designs 100-GB-level data rapid playback visualization software in view of the display requirement of 8-channel parallel acquisition data. The application has the characteristics of self-adaptive layering data reading and can be widely applied to the scene of massive data rapid playback and interactive analysis required in the fire gun continuous shooting state monitoring or other industrial test processes.
Need to check novelty before this filing date? Find Prior Art