Frequency selection method and device based on short wave service operation and maintenance data

By optimizing the frequency selection model based on the aggregation and comprehensive scoring method of shortwave business operation and maintenance data, the problem of low frequency prediction accuracy in shortwave communication is solved, and the accuracy and computational efficiency of frequency selection are improved.

CN115707000BActive Publication Date: 2025-10-17GUANGZHOU HAIGE COMMUNICATION GROUP INCORPORATED COMPANY
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Patent Information

Application Number
CN202110909633.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2021-08-09
Publication Date
2025-10-17
Estimated Expiration
2041-08-09

AI Technical Summary

Technical Problem

In the existing technology, shortwave communication frequency prediction relies on ionospheric forecasts and does not take into account communication area and equipment factors, resulting in low prediction accuracy and a single data source.

Method used

Based on shortwave business operation and maintenance data, the frequency selection model is optimized through regular acquisition, aggregation, preprocessing and comprehensive scoring methods. Key indicators such as channel quality, transmission power, standing wave ratio and communication results are considered to screen and optimize the frequency selection model to improve accuracy.

Benefits of technology

It improves the accuracy and availability of shortwave communication frequency selection, increases computing speed and efficiency, and gradually enhances the accuracy of model predictions.

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Abstract

The application provides a frequency selection method and device based on short-wave service operation and maintenance data, which comprises the following steps: periodically acquiring short-wave service operation and maintenance data; aggregating the acquired data; pre-processing each type of data after aggregation; comprehensively scoring each type of pre-processed data by using a frequency selection model; comparing the comprehensive scores corresponding to each type of data, and selecting at least one frequency corresponding to short-wave service operation and maintenance data according to the comprehensive scores from high to low; wherein, if the growth amount of the total amount of the current acquisition relative to the total amount of the previous acquisition is greater than a first preset threshold, the frequency selection model is obtained by optimizing the original frequency selection model using the normalized data; otherwise, the frequency selection model is the original frequency selection model. The application aggregates the acquired data, and uses the frequency selection model to comprehensively score and sort, so as to provide a series of preferred frequencies, and improve the operation speed and efficiency.
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