Internet of Things industrial data processing system and method for multi-device access

By employing real-time monitoring and dynamic adjustment methods, the problems of communication link health assessment and data transmission reliability in multi-device access industrial IoT environments were solved, enabling efficient communication link management and production command execution.

CN121940319APending Publication Date: 2026-04-28WUHAN WATER ENVIRONMENT TECH
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Patent Information

Application Number
CN202610019478.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-08
Publication Date
2026-04-28

AI Technical Summary

Technical Problem

In industrial IoT environments with multiple devices connected, existing technologies struggle to monitor and maintain the health of communication links in real time, leading to insufficient reliability of critical data transmission and impacting production efficiency and safety.

Method used

By acquiring real-time network signal strength and latency metrics, the isolated forest algorithm is used to assess link health. Support vector machine and decision tree algorithms are combined to identify fluctuation patterns, dynamically adjust transmission paths and bandwidth resources, optimize channel allocation using clustering algorithms, and optimize the communication environment through interference source analysis, thus forming a closed-loop feedback mechanism.

Benefits of technology

It significantly improves communication stability and data transmission efficiency in the industrial IoT environment, ensures efficient execution of production instructions, and reduces the risk of equipment downtime and the probability of data loss.

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Abstract

The invention provides an Internet of Things industrial data processing system and method oriented to multi-device access, and the method comprises the steps: obtaining real-time network signal strength and delay indexes from a multi-device access industrial Internet of Things environment, determining a communication link health degree level through preset threshold comparison, and obtaining a link health assessment result for subsequent processing; transmitting a data packet collected by a sensor through the channel allocation scheme, obtaining a packet loss rate index in a transmission process, judging whether the packet loss rate is lower than a preset threshold value, and obtaining a transmission reliability verification result for dynamically adjusting a strategy; and adjusting data transmission parameters according to the measure execution instruction, obtaining an adjusted network throughput index, judging whether the throughput meets a production instruction execution requirement or not, and obtaining an optimization confirmation result for cyclic feedback of link health assessment.
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