Industrial equipment electromagnetic radiation data prediction method and system

By constructing a predictive model based on historical operating conditions and environmental data, and modifying it by combining spatial topology and electromagnetic compatibility characteristics, the problem of time-consuming and labor-intensive traditional electromagnetic radiation monitoring methods has been solved, and accurate prediction and automated management of electromagnetic radiation from industrial equipment has been achieved.

CN121365219BActive Publication Date: 2026-05-29MILITARY SECRECY QUALIFICATION EXAMINATION & CERTIFICATION CENT
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
MILITARY SECRECY QUALIFICATION EXAMINATION & CERTIFICATION CENT
Filing Date
2025-12-23
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing electromagnetic radiation monitoring methods mainly rely on manual inspections and periodic measurements, which are time-consuming, labor-intensive, and have poor predictability, making it impossible to monitor and manage electromagnetic radiation data of industrial equipment in a timely and effective manner.

Method used

By acquiring historical operating data and time-series environmental parameter data of industrial equipment, a predictive model is constructed. The model is then corrected by combining the spatial topological relationship and electromagnetic compatibility characteristics of adjacent equipment, thereby achieving accurate prediction and automated processing of electromagnetic radiation intensity.

Benefits of technology

It enables accurate prediction of electromagnetic radiation from industrial equipment, reduces human intervention, improves monitoring efficiency and accuracy, and allows for early identification of potential risks and corresponding measures to ensure the safety of equipment and the environment.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application provides an industrial equipment electromagnetic radiation data prediction method and system, and relates to the technical field of equipment management. The method comprises the following steps: historical working condition data and radiation influence data of an industrial equipment are used to construct a preliminary prediction model, and the second prediction model is obtained by correcting the model according to the spatial relationship, electromagnetic compatibility and environmental data of adjacent equipment. According to the model, the electromagnetic radiation intensity of the equipment in the next cycle is predicted, and the corresponding processing strategy is executed according to the prediction result to ensure that the equipment operates within a safe range. The application aims to improve the problems of time and labor consumption and poor prediction of the existing method.
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