LED large screen synchronous control method, device and equipment of smart industrial city

By acquiring image information and operational status information of LED screens, performing spatiotemporal alignment and fusion processing, and utilizing spatiotemporal neural network models and Granger causality verification to generate control commands, the problem of data silos on LED screens in smart industrial cities has been solved, achieving efficient integration and dynamic synchronous display of data from multiple systems.

CN122240050APending Publication Date: 2026-06-19SUZHOU ZHONGAO INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SUZHOU ZHONGAO INFORMATION TECH CO LTD
Filing Date
2026-03-20
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

The data silo problem of LED screens in smart industrial cities leads to significant differences in data formats among various systems and a lack of a unified spatiotemporal benchmark, resulting in asynchronous multi-screen displays and reducing the intuitiveness of the city's operational status display.

⚗Method used

By acquiring the image information and operating status information of distributed LED screens, spatiotemporal alignment and fusion processing are performed. Using spatiotemporal neural network models and Granger causality verification analysis, the linkage logic between data is analyzed to generate control commands to achieve dynamic synchronous display of multiple LED screens.

🎯Benefits of technology

It achieves efficient integration and dynamic synchronous display of data from multiple systems, improves the display effect, ensures high consistency of each LED screen in time and space, and solves the problem of asynchronous multi-screen linkage display.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application provides a method, apparatus, and equipment for synchronous control of LED screens in smart industrial cities, relating to the field of smart industrial city technology. The method involves acquiring the screen profile information and operating status information of each distributed LED screen; selecting multiple target data from multi-source data based on the screen profile information and operating status information, and fusing them to obtain clock-aligned fused data; performing causal correlation analysis on the clock-aligned fused data, and generating control commands based on causal logic; calculating the clock offset between the standard system time of the service control center and the local system time of each distributed LED screen, and calculating the network transmission delay between the central LED screen and each distributed LED screen; calculating the target playback trigger time for each distributed LED screen, encapsulating the target playback trigger time and control commands, and sending them to the corresponding distributed LED screens to trigger them to perform display operations, thereby achieving dynamic synchronous display of multiple LED screens.
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