A Structured Organization Method for Massive Industrial Equipment Based on Network Computing and Control Collaboration

By using a network-computer-control collaborative approach, the hierarchical structure and control frequency of industrial equipment are optimized, solving the problems of resource waste and insufficient response to dynamic demands in industrial environments, and achieving stable connection and efficient management of massive amounts of equipment.

CN119148648BActive Publication Date: 2026-06-30SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
Filing Date
2024-09-14
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing methods fail to effectively utilize the networking capabilities of industrial information systems in industrial environments, resulting in resource waste, limited equipment availability, and insufficient ability to respond to dynamic demands.

Method used

By using a network-computer-control collaborative approach, the device location is calculated based on order requirements, and a hierarchical structure is divided and adjusted to optimize the allocation of network and computing resources, reduce latency impact, and achieve stable device connection and control.

Benefits of technology

It has enabled stable production of a massive number of devices with limited resources, balanced the granularity of control and the complexity of methods, and improved resource utilization efficiency and equipment management flexibility.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides a structured organization method for massive industrial equipment based on network-computer-control collaboration, relating to the field of industrial equipment networking technology. The method first disregards network and computational latency, calculating the spatial location of industrial equipment over time based on order requirements. Then, based on the spatial location and control requirements of the industrial equipment, a hierarchical structure is created. Next, the industrial data transmission and computational latency are incorporated into the order production process, and the spatial location of the industrial equipment over time is recalculated. If the current organizational structure of the industrial equipment can support the network integration of new industrial equipment, the current structural division becomes the final organizational structure of the industrial equipment. Otherwise, it determines whether structural adjustments have been made under the same control frequency for the industrial equipment. If not, the structure is adjusted, and the spatial location of the industrial equipment over time is recalculated. If adjustments have been made, the control frequency is reduced, and the industrial equipment is re-divided into a hierarchical structure.
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