A collaborative control method for IoT devices based on edge computing

By calculating the hydraulic characteristics of the pipeline network and dynamically allocating tasks in the oil depot edge computing IoT system, the flow imbalance problem in multi-point oil unloading operations was solved, and the oil unloading efficiency and safety were improved.

CN120335503BActive Publication Date: 2025-09-05GUANGDONG JITONG INFORMATION DEV CO LTD
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Patent Information

Application Number
CN202510829281.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-20
Publication Date
2025-09-05
Estimated Expiration
2045-06-20

AI Technical Summary

Technical Problem

In the oil depot edge computing IoT system, the flow is unbalanced during multi-point oil unloading operations, and the computing resources and communication bandwidth of the edge computing nodes are limited, resulting in delayed flow regulation, affecting overall operational efficiency. In addition, the resource allocation is unbalanced when the working conditions switch, which may cause flow to be out of control.

Method used

By obtaining the initial flow data of the oil storage equipment and the physical characteristics of the pipeline parameters, the hydraulic characteristics of the pipeline network are calculated, and a weighted average algorithm is used to allocate flow regulation tasks. Real-time adjustments are made when the oil unloading condition switches. Tasks are dynamically allocated based on the computing power and communication delay of the edge nodes, and flow balance optimization is performed using a variety of algorithms such as support vector regression, neural networks, and Gaussian elimination.

Benefits of technology

It achieves flow balance in the oil unloading process of multiple oil storage devices, improves oil unloading efficiency and safety, and ensures stable operation of the system and efficient use of resources under complex working conditions.

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Abstract

The present application provides a collaborative control method for Internet of Things devices based on edge computing, including: according to the initial flow difference, using a weighted average algorithm to obtain the initial flow regulation value of each oil storage device, allocating the initial flow regulation task in the edge node, determining the computing load of each node, and determining the task allocation of the edge node based on the calculated load; when the oil unloading condition switches, the flow data of the oil unloading process of each oil storage device is collected in real time, and according to the initial flow regulation value, combined with a preset balancing algorithm, it is determined whether the current flow is balanced, and if it is unbalanced, the flow adjustment is performed; during the flow adjustment process, the flow regulation task is dynamically allocated to each edge node based on the computing power and communication delay of the edge node.
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