An edge-computing-based industrial alarm data aggregation method and system

By processing industrial alarm data through edge computing, the problems of data latency and duplication in high-concurrency scenarios are solved, enabling timely and accurate reflection of alarm data and adaptive optimization of the system, thereby improving the real-time performance and robustness of the industrial alarm system.

CN121792376BActive Publication Date: 2026-06-05CHENGDU HONGRUI TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHENGDU HONGRUI TECH
Filing Date
2026-03-06
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing industrial alarm systems are prone to data delays, duplication, threshold lag, and network transmission congestion in high-concurrency scenarios. This results in alarm data failing to reflect the equipment's operating status in a timely and accurate manner, lacking a dynamic balance between alarm intensity, transmission delay, and network resource constraints, and the threshold settings cannot be adaptively adjusted.

Method used

By using edge computing, alarm monitoring data is collected and processed for time synchronization, noise suppression, anomaly removal and normalization. An alarm judgment table is constructed and alarm intensity is quantified. A buffer and transmission priority are configured, differentiated transmission scheduling is executed, and alarm trend deviation is evaluated at the central side to achieve adaptive updates.

Benefits of technology

It improves the accuracy and interpretability of alarm data judgment, dynamically diverts real-time and periodic services, reduces duplicate reporting, reduces network congestion, and achieves long-term stability and accuracy of the system.

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Abstract

The application discloses an industrial alarm data aggregation method and system based on edge computing, and relates to the technical field of alarm data processing.The method comprises the following steps: S1, periodically collecting alarm monitoring data, and performing preprocessing on the collected data; S2, quantitatively representing alarm intensity, generating alarm aggregation records, and performing queue matching operation on the alarm aggregation records; S3, configuring a buffer area for different queues, comprehensively evaluating the transmission priority before each transmission, performing differentiated transmission scheduling, and configuring buffer protection and breakpoint resume mechanisms during the transmission process; and S4, receiving alarm aggregation records reported by each edge gateway to generate a central convergence data table, quantitatively evaluating alarm trend deviation in combination with historical transmission data, and determining whether to trigger a self-correction process. The method solves the problem that different emergency degree tasks cannot be isolated under the single queue serial first-in-first-out reporting of industrial alarm data, leading to the problems of high-intensity alarm delay and periodic reporting accumulation.
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Citation Information

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