CN-122017550-A - Intelligent monitoring method and system for performance of radio frequency relay

CN122017550ACN 122017550 ACN122017550 ACN 122017550ACN-122017550-A

Abstract

The application provides an intelligent monitoring method and system for the performance of a radio frequency relay, which are applied to the technical field of radio frequency relays and are used for acquiring service signals of the radio frequency relay, and establishing characteristic fingerprint baselines under different service loads in a healthy state, and extracting characteristic fingerprints in real time and identifying the current service load during normal operation. And comparing the real-time characteristic fingerprint with the baseline fingerprint, judging the deviation condition, dynamically evaluating the deviation condition of the adjacent radio frequency relay, and establishing a dynamic reference deviation datum. Finally, comparing the deviation condition of the radio frequency relay with a dynamic reference deviation datum, and quantifying the degradation contribution of the radio frequency relay, so that the influence of the degradation of the radio frequency relay and other parts of the system or the environmental change is effectively distinguished, and the performance degradation early warning is sent out. Therefore, the application has the beneficial effects of realizing the detection without stopping, accurately distinguishing the self degradation of the radio frequency relay from the influence of external factors, and obviously reducing the false alarm rate and the missing report rate.

Inventors

LUO ZHILIANG
CHEN LIANMING
ZHAO YILONG
Lan Chongzhu
Pang Lantian

Assignees

深圳市西科技术有限公司

Dates

Publication Date: 20260512
Application Date: 20260414

Claims (10)

1. An intelligent monitoring method for the performance of a radio frequency relay is characterized by comprising the following steps: s1, collecting service signals passing through a radio frequency relay; S2, when the radio frequency relay is in a health state, establishing a characteristic fingerprint baseline of the service signal according to different service loads; s3, extracting characteristic fingerprints of the service signals in real time during normal service operation of the radio frequency relay, and identifying current service load; S4, comparing the characteristic fingerprints extracted in real time with the baseline fingerprints corresponding to the current business load in the characteristic fingerprint baselines, and judging the deviation condition of the characteristic fingerprints; s5, dynamically evaluating the characteristic fingerprint deviation condition of the adjacent radio frequency relay according to the characteristic fingerprint deviation condition, and establishing a dynamic reference deviation datum for the radio frequency relay based on an evaluation result; S6, comparing the characteristic fingerprint deviation condition of the radio frequency relay with the dynamic reference deviation standard to obtain a relative deviation amount, and quantifying the degradation contribution of the radio frequency relay according to the relative deviation amount and the characteristics of the current service load so as to distinguish the influence of the degradation of the radio frequency relay and other parts of a system or environmental changes; and S7, sending out the performance decline early warning of the radio frequency relay according to the distinguishing result.
2. The intelligent monitoring method for performance of a radio frequency relay according to claim 1, wherein step S2 comprises: S21, when the radio frequency relay is in a health state, establishing initial characteristic fingerprint baselines of the service signals according to different service loads; s22, continuously monitoring characteristic fingerprints of the service signals and deviation conditions of the characteristic fingerprints and the initial characteristic fingerprint base line during normal service operation of the radio frequency relay; s23, identifying a period of the radio frequency relay in a stable and healthy running state according to the deviation condition, wherein no performance decline early warning is carried out in the period; s24, in the stable and healthy operation period, judging that the characteristic fingerprint of the service signal continuously and universally deviates from the initial characteristic fingerprint base line, and judging that the characteristic fingerprint base line naturally drifts if the deviation degree does not reach a performance reduction early warning threshold; And S25, according to the judging result of the natural drift, based on the service signal characteristic fingerprint data collected in the stable and healthy operation period, performing incremental adjustment on the initial characteristic fingerprint baseline, thereby obtaining the characteristic fingerprint baseline of the service signal.
3. The intelligent monitoring method for performance of a radio frequency relay according to claim 1, wherein in step S3, extracting in real time a characteristic fingerprint of the service signal comprises the steps of: s31, according to the identified current service load characteristic, adjusting characteristic fingerprint extraction parameters of the service signal, wherein the parameters comprise sampling rate, processing bandwidth or calculation accuracy; S32, distributing the extraction tasks of different characteristic fingerprints of the service signal to an independent hardware processing unit, and carrying out parallel synchronous calculation on the service signal according to the adjusted characteristic fingerprint extraction parameters to obtain the characteristic fingerprints of the service signal; And S33, when the data processing load of the service signal exceeds a preset threshold value, preferentially extracting the high-order modulation error vector amplitude or the signal envelope distortion mode in the service signal, and carrying out degradation processing on the extraction of other features so as to ensure the real-time extraction of the feature fingerprints of the service signal.
4. The intelligent monitoring method according to claim 3, wherein in step S32, the characteristic fingerprint of the service signal includes a harmonic distortion component, an intermodulation distortion component, an in-band noise power, a phase noise spectral density, a gain compression characteristic, or an amplitude-phase conversion characteristic of the service signal.
5. The intelligent monitoring method for radio frequency relay performance according to claim 1, wherein in step S3, identifying the current traffic load comprises the steps of: s34, analyzing the modulation type, bandwidth, power spectral density or data throughput rate parameters of the service signal to obtain service signal parameters; s35, matching the service signal parameters with a preset service load feature library to obtain a matching result; And S36, identifying the current service load according to the matching result.
6. The intelligent monitoring method for performance of a radio frequency relay according to claim 1, wherein step S4 comprises: S41, acquiring a correlation mode between different characteristic fingerprints of service signals contained in a baseline fingerprint corresponding to the current service load in the characteristic fingerprint baseline and a time sequence evolution mode of a single characteristic fingerprint; S42, calculating a real-time association mode between different characteristic fingerprints of the service signals contained in the characteristic fingerprints extracted in real time and a real-time sequence evolution mode of a single characteristic fingerprint in real time; S43, comparing the real-time correlation mode with the correlation mode, and comparing the real-time sequence evolution mode with the time sequence evolution mode to obtain a mode comparison result; s44, judging the mode deviation condition of the characteristic fingerprint according to the mode comparison result, and quantifying the mode deviation.
7. The intelligent monitoring method for performance of a radio frequency relay according to claim 1, wherein in step S7, sending out the early warning of performance degradation of the radio frequency relay comprises the steps of: S71, sending the radio frequency relay performance decline early warning information to a device management system or a maintenance work order system; And S72, automatically generating a maintenance task or a fault report according to the early warning information.
8. The intelligent monitoring method for the performance of the radio frequency relay according to claim 1, wherein the method further comprises: And S8, predicting a time window when the radio frequency relay reaches a critical fault state.
9. The intelligent monitoring method for radio frequency relay performance according to claim 8, wherein step S8 comprises: S81, continuously monitoring time sequence changes of a plurality of degradation indexes reflected by the degradation of the radio frequency relay to obtain current values of the degradation indexes; S82, calculating the change rate and the change acceleration of the degradation indexes according to the time sequence change of the degradation indexes for each degradation index; s83, dynamically setting a critical threshold and a degradation acceleration coefficient for each degradation index according to the characteristics of the current service load; S84, identifying that the current value of any one of the degradation indexes, the change rate or the change acceleration reaches a preset accelerated degradation triggering condition; S85, when the accelerated degradation triggering condition is identified, calculating the time required for the degradation index to reach the critical threshold value based on the current value of the degradation index, the change rate, the change acceleration, the critical threshold value and the degradation acceleration coefficient; and S86, comparing all calculated time, and selecting the time window with the smallest time value as the time window for the radio frequency relay to reach the critical fault state.
10. An intelligent monitoring system for the performance of a radio frequency relay, characterized in that it is adapted to carry out the steps of the method according to any one of the preceding claims 1-9, said system comprising: The acquisition module is used for acquiring service signals passing through the radio frequency relay; The first base line establishing module is used for establishing a characteristic fingerprint base line of the service signal according to different service loads when the radio frequency relay is in a healthy state; The fingerprint extraction module is used for extracting the characteristic fingerprint of the service signal in real time and identifying the current service load during the normal service operation of the radio frequency relay; The comparison module is used for comparing the characteristic fingerprints extracted in real time with the baseline fingerprints corresponding to the current business load in the characteristic fingerprint baselines and judging the deviation condition of the characteristic fingerprints; The second base line establishing module is used for dynamically evaluating the characteristic fingerprint deviation condition of the adjacent radio frequency relay according to the characteristic fingerprint deviation condition and establishing a dynamic reference deviation base line for the radio frequency relay based on the evaluation result; The distinguishing module is used for comparing the characteristic fingerprint deviation condition of the radio frequency relay with the dynamic reference deviation standard to obtain a relative deviation amount, and quantifying the degradation contribution of the radio frequency relay according to the relative deviation amount and the characteristics of the current service load so as to distinguish the influence of the degradation of the radio frequency relay and other parts of the system or the environmental change; and the early warning module is used for sending out early warning of the performance decline of the radio frequency relay according to the distinguishing result.

Description

Intelligent monitoring method and system for performance of radio frequency relay Technical Field The application relates to the technical field of radio frequency relays, in particular to an intelligent monitoring method and system for performance of a radio frequency relay. Background Radio frequency relays are responsible for signal path switching in communication systems, but long-term operation can lead to reduced performance due to wear of mechanical and electrical components. While traditional maintenance requires downtime for inspection, this approach is costly and affects critical systems. In order to realize on-line monitoring without stopping, the prior art initially tries to inject a weak detection signal into a service signal, but in practical application, the weak detection signal can interfere with normal communication. The prior art then turns to using the characteristics of the traffic signal itself to infer the state of health of the relay. However, the technology still faces three major problems, namely, continuous changes of power, frequency, modulation mode and the like of service signals, the performance difference of relay degradation under different signals is quite large, the degradation often presents nonlinearity, for example, intermodulation distortion can be generated under high power, the average value such as insertion loss is only monitored and is difficult to capture, and the signal characteristics are also influenced by other components (amplifiers, filters and the like) and environmental changes in a system link, so that the weak changes are difficult to be accurately attributed to a specific relay. These problems lead to online monitoring being extremely prone to false positives or false negatives, affecting the reliability of predictive maintenance. In view of the above, there is a need in the art for improvements. Disclosure of Invention In view of the shortcomings of the prior art, the application provides an intelligent monitoring method and system for the performance of a radio frequency relay, and aims to solve the technical problems that the maintenance mode of the existing radio frequency relay is high in cost, service is interrupted and an online monitoring system is prone to false alarm or missing alarm. In a first aspect, a method for intelligently monitoring performance of a radio frequency relay, the method comprising the steps of: s1, collecting service signals passing through a radio frequency relay; S2, when the radio frequency relay is in a health state, establishing a characteristic fingerprint baseline of the service signal according to different service loads; s3, extracting characteristic fingerprints of the service signals in real time during normal service operation of the radio frequency relay, and identifying current service load; S4, comparing the characteristic fingerprints extracted in real time with the baseline fingerprints corresponding to the current business load in the characteristic fingerprint baselines, and judging the deviation condition of the characteristic fingerprints; s5, dynamically evaluating the characteristic fingerprint deviation condition of the adjacent radio frequency relay according to the characteristic fingerprint deviation condition, and establishing a dynamic reference deviation datum for the radio frequency relay based on an evaluation result; S6, comparing the characteristic fingerprint deviation condition of the radio frequency relay with the dynamic reference deviation standard to obtain a relative deviation amount, and quantifying the degradation contribution of the radio frequency relay according to the relative deviation amount and the characteristics of the current service load so as to distinguish the influence of the degradation of the radio frequency relay and other parts of a system or environmental changes; and S7, sending out the performance decline early warning of the radio frequency relay according to the distinguishing result. Further, step S2 includes: S21, when the radio frequency relay is in a health state, establishing initial characteristic fingerprint baselines of the service signals according to different service loads; s22, continuously monitoring characteristic fingerprints of the service signals and deviation conditions of the characteristic fingerprints and the initial characteristic fingerprint base line during normal service operation of the radio frequency relay; s23, identifying a period of the radio frequency relay in a stable and healthy running state according to the deviation condition, wherein no performance decline early warning is carried out in the period; s24, in the stable and healthy operation period, judging that the characteristic fingerprint of the service signal continuously and universally deviates from the initial characteristic fingerprint base line, and judging that the characteristic fingerprint base line naturally drifts if the deviation degree does not reach a pe