Intelligent Electromagnetic Compatibility Detection System and Method Based on Smart Sensors

By combining intelligent sensor systems with logistic regression and one-dimensional convolutional analysis, antenna parameters are adjusted in real time, solving the accuracy and adaptability problems of electromagnetic compatibility detection in existing technologies, and realizing efficient electromagnetic interference identification and accurate detection in complex environments.

CN121679200BActive Publication Date: 2026-05-26HANGKE QUALITY TESTING (XIAN) TECH CO LTD
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Patent Information

Application Number
CN202610189473.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-02-10
Publication Date
2026-05-26
Estimated Expiration
2046-02-10

AI Technical Summary

Technical Problem

Existing electromagnetic compatibility testing technologies struggle to accurately locate interference sources in complex electromagnetic environments. Detection accuracy is highly dependent on environmental conditions, and testing equipment is incompatible with both laboratory and field requirements, making it impossible to adjust antenna parameters in real time, resulting in significant errors in test results.

Method used

The intelligent electromagnetic compatibility detection system based on smart sensors uses a logistic regression model to predict the gain changes of active antennas, combines one-dimensional convolutional analysis to identify electromagnetic interference events, and triggers adjustment strategies through a built-in rule engine to correct antenna bias current and receiving angle in real time.

Benefits of technology

It improves the anti-interference capability and accuracy of the detection system, enabling it to quickly identify electromagnetic interference events in complex electromagnetic environments, reduce the probability of signal misjudgment, and ensure the validity and accuracy of detection data.

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Abstract

This invention discloses an intelligent electromagnetic compatibility (EMC) detection system and method based on smart sensors, belonging to the field of EMC detection technology. The system includes an input source acquisition module, a predictive analysis module, and an interference identification module. Its key technical points are: acquiring the ambient temperature of the area to be tested and simultaneously obtaining historical calibration data of the active antenna; wherein the historical calibration data includes at least an electromagnetic near-field distribution map and spectral envelope characteristics; based on the historical calibration data, establishing a logistic regression model to predict the drift law of the active antenna with ambient temperature and obtaining the gain change curve; introducing one-dimensional convolutional analysis of electromagnetic signals to identify electromagnetic interference events, using a built-in rule engine to perform judgment analysis on the gain deviation of each batch of measurements, and triggering adjustment strategies through electromagnetic interference events; this aspect achieves intelligent EMC detection, with real-time calibration and correction during the detection process, improving detection accuracy.
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