Weather radar health condition monitoring method based on observation characteristics and natural conditions

Abstract

The invention provides a weather radar health condition monitoring method based on observation characteristics and natural conditions, and the method comprises the steps: analyzing a state data package through a special data interface for radar control communication, extracting and analyzing a state bit and numerical information in BITE data, and achieving the real-time state monitoring of hardware through the combination of a preset threshold value; extracting a signal quality factor SQI and a uniformity parameter from the base data analyzed by the data interface, and evaluating radar Doppler coherence and polarization performance through multi-dimensional threshold comparison; based on natural observation base data, reflectivity factors, differential reflectivity and correlation coefficients are extracted, and in combination with threshold analysis of solar radiation and rainfall scenes, the polarization balance degree and the polarization isolation degree are diagnosed, and the antenna lobe performance and the system detection sensitivity are monitored; and according to the monitoring result, when all diagnosis items are normal, determining that the radar is healthy, otherwise, triggering an abnormal alarm. The problems of observation pause or interruption and the like caused by monitoring of weather radar performance and health conditions by instruments and meters are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of radar health status monitoring, and in particular to a weather radar health status monitoring method based on observation characteristics and natural conditions. Background Art

[0002] Currently, the most common health monitoring method for weather radars relies on dedicated calibration hardware such as microwave delay lines, internal noise sources, phase shifters, and digitally controlled attenuators. External signal sources and spectrum analyzers are also used to monitor the performance of the radar.

[0003] When testing the dynamic range, the receiver input port is switched to the test signal output port with a digitally controlled attenuator via a microwave switch, and known signals of different amplitudes are fed into it to achieve the purpose of dynamic range testing.

[0004] When testing KD and RD, the receiver input port is switched to the test signal output port with a phase shifter or microwave delay line through a microwave switch. The transmission power and phase measurement accuracy are tested through transmission coupling and sample phase shifting.

[0005] The health status of the radar is monitored through the above work. However, in the above work, the radar works in test mode, which is different from the working mode, and there is inconsistency between the detection data and the test data.

[0006] Monitoring radar health with instrumentation requires stopping or interrupting observations, resulting in discontinuous data. Radar development and production require additional instrumentation, hardware, and physical RF channels, significantly increasing manufacturing costs, reducing system reliability, and increasing failure rates. Signal flow does not pass through the complete radar signal working channel, leaving unmonitored nodes and incomplete monitoring. Summary of the Invention

[0007] The present invention provides a weather radar health status monitoring method based on observation characteristics and natural conditions, which solves the problems of observation suspension or interruption caused by instrument-based monitoring of weather radar performance and health status.

[0008] To achieve the above object, the present invention adopts the following technical solutions: Weather radar health monitoring methods based on observation characteristics and natural conditions include: S1: Parse the status data packet through the radar control communication dedicated data interface, extract and analyze the status bits and numerical information in the BITE data, and realize real-time hardware status monitoring based on the preset threshold; S2: extracting the signal quality factor SQI and homogeneity parameter from the base data analyzed by the data interface, and evaluating the radar Doppler coherence and polarization performance through multi-dimensional threshold comparison; S3: Extract reflectivity factors, differential reflectivity, and correlation coefficients based on natural observational data, combine threshold analysis of solar radiation and stratiform cloud precipitation detection variables, diagnose polarization balance and polarization isolation, and monitor antenna lobe performance and system detection sensitivity. S4: Based on the monitoring results of S1-S3, the radar is judged to be healthy when all diagnostic items are normal, otherwise an abnormal alarm is triggered.

[0009] In this specification, the S1 extracts and analyzes the status bit in the BITE data to determine the hardware circuit status, and at the same time extracts the transmit power value, transmit reverse power value, transmit pulse duty cycle, transmit pulse width, transmit system temperature, and transmit port standing wave ratio and compares them with their corresponding dynamic thresholds A±δ in real time. If any parameter exceeds the range, it is determined that the transmit power is abnormal or the transmit system is abnormal, and δ is the allowable error.

[0010] In this specification, the threshold determination method of the signal quality factor SQI in S2 is: when SQI ≥ threshold A, the Doppler system coherence is determined to be normal; otherwise, a coherence degradation alarm is generated, where threshold A is dynamically configured according to the radar model.

[0011] In this specification, the polarization performance evaluation in S2 includes: extracting the Uniform Sum parameter in the base data, and when its value is lower than a preset threshold B, determining that the polarization variable is not significant enough and marking the antenna feed system as abnormal.

[0012] In this specification, the polarization balance diagnosis in S3 includes: comparing the differential reflectivity Zdr of the H / V channel in the solar radiation scene with a first threshold, and the Zdr in the stratiform cloud precipitation scene with a second threshold. If either scene exceeds the limit, polarization imbalance is determined.

[0013] In this specification, the antenna lobe performance monitoring method in S3 is: through the 3dB beam width analysis of the solar radiation reflectivity factor Z, when the measured width deviates from the theoretical lobe width by more than ±0.5° or a predetermined range, it is determined that the antenna is deformed and the performance is abnormal.

[0014] In this specification, the sensitivity monitoring in S3 includes: extracting the strong echo center reflectivity Zmax value, calculating the coverage area after its attenuation of 3dB, and determining that the receiving link gain has decreased when the area is abnormally reduced.

[0015] In this specification, the polarization isolation diagnosis in S3 includes: synchronously comparing the correlation coefficient CC of solar radiation and light rain echo, and performing dual-scenario verification with isolation thresholds B and D respectively. If CC exceeds the limit in any scenario, an isolation abnormality alarm is triggered.

[0016] In this specification, the weather radar health status monitoring method based on observation characteristics and natural conditions also includes a data storage step: storing the parsed BITE data, characteristic parameters and natural observation data in a configuration directory specified by the control terminal software according to timestamps.

[0017] In this specification, the comprehensive judgment of S4 adopts a hierarchical alarm mechanism: when S1 is abnormal, a level 1 hardware failure alarm is triggered; when S2 is abnormal, a level 2 performance degradation alarm is triggered; when S3 is abnormal, a level 3 urgent calibration alarm is triggered, and a diagnostic report containing an abnormal location code is generated.

[0018] In summary, the present invention has at least the following beneficial effects: This application adopts radar operation observation characteristics and continuous observation based on natural conditions to replace the conventional method of monitoring the radar health status with the help of dedicated calibration hardware equipment inside the machine and external instruments and meters. Traditional monitoring methods will suspend or interrupt observations, resulting in discontinuous observations. Therefore, the technical solution of this application has more significant technical effects in ensuring the reliability of observation data. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 Schematic diagram of the weather radar health status monitoring method based on observation characteristics and natural conditions involved in the present invention. DETAILED DESCRIPTION

[0021] Hereinafter, only certain exemplary embodiments are briefly described. As will be appreciated by those skilled in the art, the described embodiments may be modified in various ways without departing from the spirit or scope of the embodiments of the present invention. Therefore, the drawings and description are to be regarded as illustrative in nature and not restrictive.

[0022] The disclosure below provides many different embodiments or examples for implementing different structures of the embodiments of the present invention. In order to simplify the disclosure of the embodiments of the present invention, the components and configurations of specific examples are described below. Of course, these are merely examples and are not intended to limit the embodiments of the present invention. In addition, the embodiments of the present invention may repeat reference numerals and / or reference letters in different examples. Such repetition is for the purpose of simplicity and clarity and does not in itself indicate the relationship between the various embodiments and / or configurations discussed.

[0023] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0024] like Figure 1 As shown, this embodiment provides a method for monitoring the health status of a weather radar based on observation characteristics and natural conditions, including: S1 parses radar status packets (BITE data) from the radar control communication dedicated "data interface" data stream and diagnoses radar health from the BITE data. Information recognition and numerical judgment directly determine the radar hardware operating status. Status flags in the BITE data are parsed to determine the hardware circuit status. Transmit power, transmit reverse power, transmit pulse duty cycle, transmit pulse width, transmit system temperature, and transmit port standing wave ratio are extracted and compared in real time with their corresponding dynamic thresholds A±δ. If any parameter exceeds the range, the transmit power or transmit system is considered abnormal, where δ is the allowable error.

[0025] In step S11, the radar health monitor extracts the status bits related to the radar's health status from the radar's status data packet via the radar control communication dedicated "data interface," achieving "status bit extraction." The extracted and parsed information is also saved in a BITE file in the control terminal software's designated configuration directory, achieving "BITE information acquisition and storage" and providing data support for "BITE information analysis."

[0026] S12, read the status results of the hardware real-time circuit monitoring from the status flag bit in the BITE data, and diagnose the real-time health status of the radar hardware based on whether the status bit is normal or not, completing the "status bit identification" process.

[0027] In step S13, the radar health monitor extracts numerical information related to the radar's health status from the radar's status data packet via the radar control communication dedicated "data interface," achieving "numerical status extraction." The extracted and parsed information is simultaneously saved in a BITE file in the control terminal software's designated configuration directory, achieving "BITE information acquisition and storage" and providing data support for "BITE information analysis."

[0028] S14 reads the hardware monitoring data from the BITE data and compares it with a pre-set threshold value B (for example, if the normal monitoring power is A for the transmit sample power, then the threshold value B is A±δ). If A is outside the range of A±δ when transmission is enabled, the radar transmit output power is determined to be abnormal; otherwise, the radar transmit output power is determined to be normal. The diagnostic logic for other numerical values ​​is consistent with the diagnostic logic for determining whether the transmit output power is normal, completing the "numerical threshold comparison" process.

[0029] S15, through steps S11, S12, S13, and S14, the purpose of monitoring the radar health status through BITE information is achieved, and the "hardware real-time status monitoring" function is completed.

[0030] S2 parses the base data calculated by the signal processor in the radar control communication dedicated "data interface" data stream, extracts characteristic data from the observed base data, and diagnoses the radar's health based on the characteristic data. It obtains the system coherence of Doppler performance and radar polarization performance, and evaluates the significance or validity of polarization variables.

[0031] S21, the radar health status monitor extracts the signal quality factor (SQI) from the radar's base data packet via the radar control communication dedicated "data interface" based on the data stream frame header feature identifier "SSQI". At the same time, the extracted and analyzed feature value data is saved in the observation base data file in the specified configuration directory of the control terminal software, realizing "observation base data acquisition and storage" and providing data support for "SQI value threshold comparison".

[0032] S22, the signal quality factor SQI value is compared with the threshold A. When the SQI value is greater than or equal to the threshold A, the system coherence of the radar Doppler performance is diagnosed to be good. Otherwise, the coherence performance is diagnosed to be poor and the radar health status is abnormal.

[0033] In step S23, the radar health monitor extracts uniformity and uniform sum from the radar's base data packet via the radar control communication dedicated "data interface" based on the data stream frame header feature identifier "S US". The extracted and parsed feature value data is saved in the observation base data file in the specified configuration directory of the control terminal software, achieving "observation base data acquisition and storage" and providing data support for "US value threshold comparison."

[0034] S24: Compare the uniformity (Uniform Sum) with threshold B. If the Uniform Sum value is greater than or equal to threshold B, the significance or effectiveness of the polarization variable used to diagnose the radar's polarization performance is good. Otherwise, the significance or effectiveness of the polarization variable used to diagnose the radar's polarization performance is poor, indicating an abnormal radar health status.

[0035] S25, through steps S21, S22, S23, and S24, the observed operation characteristic value is compared with the threshold, that is, "characteristic data threshold comparison" to realize the radar health status monitoring function.

[0036] S3. Analyze the base data calculated by the signal processor in the radar control communication dedicated "data interface" data stream. Extract the natural observation reflectivity factor Z, differential reflectivity Zdr, correlation coefficient CC and other base data from the observation base data. Diagnose the radar health status based on the natural observation data. Diagnose polarization balance and polarization isolation, monitor antenna lobe performance, and obtain radar sensitivity.

[0037] S31: The radar health status monitor extracts the reflectivity factor Z, differential reflectivity factor Zdr, and correlation coefficient CC from the radar's base data packet via the radar control communication dedicated "data interface" based on the data stream frame header feature identifiers "S Zdr", "S Zh", and "S Rhv". At the same time, the extracted and analyzed natural observation base data is saved in the natural observation base data file in the specified configuration directory of the control terminal software, realizing "acquisition and storage based on natural observation data" and providing data support for "numerical threshold comparison".

[0038] S32 compares the differential reflectivity factor Zdr of the difference between the H and V channels of the received solar radiation with the threshold A, i.e., "Zdr numerical threshold comparison", to diagnose the polarization balance of the system. If Zdr is less than or equal to the threshold A, the polarization balance of the system is diagnosed to be good; otherwise, the radar polarization balance is diagnosed to be abnormal.

[0039] S33 compares the correlation coefficient CC of the received solar radiation with a threshold value B, i.e., "CC value threshold comparison", to diagnose the polarization isolation of the radar. If CC is less than or equal to the threshold value B, the polarization isolation of the system is diagnosed to be good; otherwise, the polarization isolation of the radar is diagnosed to be abnormal.

[0040] S34 receives the reflectivity factor Z of solar radiation, and the echo area corresponding to the strong center reflectivity factor Zmax minus 3dB is used to identify the echo beam width, namely "Zh numerical analysis", to monitor the antenna lobe performance. If the 3dB echo width is equivalent to the antenna lobe width, the antenna lobe performance is excellent; otherwise, the antenna lobe performance is abnormal. At the same time, the strongest echo power can be identified to monitor the radar sensitivity.

[0041] S35, the differential reflectivity factor Zdr of the observed light rain echo is compared with the threshold C, i.e., "Zdr numerical threshold comparison", which can diagnose the polarization balance of the system. If Zdr is less than or equal to the threshold C, the system polarization balance is diagnosed to be good; otherwise, the radar polarization balance is diagnosed to be abnormal.

[0042] S36, comparing the correlation coefficient CC of the observed light rain (stratus cloud precipitation) echo with the threshold D, i.e., "CC numerical threshold comparison", can diagnose the polarization isolation of the system. If the correlation coefficient CC is less than or equal to the threshold B, the system polarization isolation is diagnosed to be good; otherwise, the radar polarization isolation is diagnosed to be abnormal.

[0043] S37, through steps S31, S32, S33, S34, S35, and S36, the natural observation base data based on the sun and light rain are compared with the threshold, that is, the "natural numerical threshold comparison" is used to realize the function of monitoring the health status of the monitoring radar.

[0044] S4, combining the diagnostic results of steps S1, S2, and S3 to implement "radar real-time operating status diagnosis." Only if all of the results are normal can the radar be diagnosed as healthy. Otherwise, the radar's health status is abnormal. This innovative and advanced health monitoring method for weather radars yields radar health status monitoring results.

[0045] The present invention can replace the calibration source, phase shifter, noise source, and digitally controlled attenuator in a conventional weather radar system, and achieve the purpose of radar health status monitoring when working in a working channel.

[0046] It changes the traditional monitoring method based on instruments and provides a new means of weather radar data quality assessment, providing a convenient, credible and reliable method for monitoring radar performance and health status.

[0047] The above embodiments are intended to illustrate the present invention, not to limit the present invention. Therefore, changes in illustrative values ​​or substitutions of equivalent components should still fall within the scope of the present invention.

[0048] From the above detailed description, it will be clear to those skilled in the art that the present invention can indeed achieve the aforementioned objectives and is in compliance with the provisions of the Patent Law.

[0049] Although preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they become aware of the basic inventive concepts. Therefore, the appended claims are intended to be interpreted as covering the preferred embodiments and all changes and modifications that fall within the scope of the invention. The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. It should be noted that any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

[0050] It should be noted that the above description of the relevant processes is for illustration and purpose only and does not limit the scope of application of this specification. For those skilled in the art, various modifications and changes can be made to the processes under the guidance of this specification. However, such modifications and changes are still within the scope of this specification.

[0051] The basic concepts have been described above. It will be apparent to those skilled in the art after reading this application that the above disclosures are merely illustrative and do not constitute limitations on this application. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements, and amendments to this application. Such modifications, improvements, and amendments are suggested in this application and remain within the spirit and scope of the exemplary embodiments of this application.

[0052] At the same time, this application uses specific terms to describe the embodiments of this application. For example, "one embodiment," "an embodiment," and / or "some embodiments" refer to a certain feature, structure, or characteristic related to at least one embodiment of this application. Therefore, it should be emphasized and noted that "one embodiment," "an embodiment," or "an alternative embodiment" mentioned twice or more in different places in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of this application may be appropriately combined.

[0053] Furthermore, those skilled in the art will appreciate that various aspects of the present application may be illustrated and described in terms of a number of patentable categories or situations, including any new and useful process, machine, product, or combination of substances, or any new and useful improvement thereof. Thus, various aspects of the present application may be implemented entirely in hardware, entirely in software (including firmware, resident software, microcode, etc.), or in a combination of hardware and software. Each of the above hardware and software may be referred to as a "unit," "module," or "system." Furthermore, various aspects of the present application may take the form of a computer program product embodied in one or more computer-readable media, with computer-readable program code embodied therein.

[0054] The computer program code required for the operation of each part of this application can be written in any one or more programming languages, including object-oriented programming languages ​​such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB.NET, Python, etc., conventional procedural programming languages ​​such as C programming language, Visual Basic, Fortran2103, Perl, COBOL2102, PHP, ABAP, dynamic programming languages ​​such as Python, Ruby and Groovy, or other programming languages. The program code can be run entirely on the user's computer, or as a standalone software package on the user's computer, or partly on the user's computer and partly on a remote computer, or entirely on a remote computer or server. In the latter case, the remote computer can be connected to the user's computer via any network form, such as a local area network (LAN) or a wide area network (WAN), or connected to an external computer (e.g., via the Internet), or in a cloud computing environment, or used as a service such as software as a service (SaaS).

[0055] In addition, unless expressly stated in the claims, the order of the processing elements and sequences described in this application, the use of alphanumeric characters, or the use of other names are not intended to limit the order of the processes and methods of this application. Although the above disclosure discusses some embodiments of the invention that are currently considered useful through various examples, it should be understood that such details are only for illustrative purposes, and the attached claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that are consistent with the essence and scope of the embodiments of this application. For example, although the implementation of the various components described above can be embodied in a hardware device, it can also be implemented as a pure software solution, for example, installation on an existing server or mobile device.

[0056] Similarly, it should be noted that in order to simplify the presentation of this disclosure and thereby facilitate understanding of one or more of the invention's embodiments, the foregoing descriptions of the embodiments of this disclosure sometimes combine multiple features into a single embodiment, figure, or description thereof. However, this approach should not be interpreted as reflecting an intention that the claimed subject matter requires more features than expressly recited in each claim. Rather, the subject matter of the invention may possess fewer features than the single embodiment described above.

Claims

1. A weather radar health monitoring method based on observation characteristics and natural conditions, characterized in that: include: S1: Parse the status data packet through the radar control communication dedicated data interface, extract and analyze the status bits and numerical information in the BITE data, and realize real-time hardware status monitoring based on the preset threshold; S2: extracting the signal quality factor SQI and homogeneity parameter from the base data analyzed by the data interface, and evaluating the radar Doppler coherence and polarization performance through multi-dimensional threshold comparison; S3: Extract reflectivity factors, differential reflectivity, and correlation coefficients based on natural observational data, combine threshold analysis of solar radiation and stratiform cloud precipitation detection variables, diagnose polarization balance and polarization isolation, and monitor antenna lobe performance and system detection sensitivity. S4: Based on the monitoring results of S1-S3, the radar is judged to be healthy when all diagnostic items are normal, otherwise an abnormal alarm is triggered.

2. The weather radar health monitoring method based on observation characteristics and natural conditions according to claim 1 is characterized in that: In the S1, the status bits in the BITE data are extracted and analyzed to determine the status of the hardware circuit. At the same time, the transmit power value, transmit reverse power value, transmit pulse duty cycle, transmit pulse width, transmit system temperature, and transmit port standing wave ratio are extracted and compared with their corresponding dynamic thresholds A±δ in real time. If any parameter exceeds the range, it is determined that the transmit power is abnormal or the transmit system is abnormal, and δ is the allowable error.

3. The weather radar health monitoring method based on observation characteristics and natural conditions according to claim 1, characterized in that: The threshold determination method of the signal quality factor SQI in S2 is: when SQI ≥ threshold A, the Doppler system coherence is determined to be normal; otherwise, a coherence degradation alarm is generated, where threshold A is dynamically configured according to the radar model.

4. The weather radar health monitoring method based on observation characteristics and natural conditions according to claim 1 is characterized in that: The polarization performance evaluation in S2 includes: extracting the Uniform Sum parameter in the base data, and when its value is lower than a preset threshold B, determining that the polarization variable is not significant enough and marking the antenna feed system as abnormal.

5. The weather radar health monitoring method based on observation characteristics and natural conditions according to claim 1 is characterized in that: The polarization balance diagnosis in S3 includes comparing the differential reflectivity Zdr of the H / V channel in the solar radiation scene with a first threshold, and the Zdr in the stratiform cloud precipitation scene with a second threshold. If either scene exceeds the limit, polarization imbalance is determined.

6. The weather radar health monitoring method based on observation characteristics and natural conditions according to claim 1, characterized in that: The antenna lobe performance monitoring method in S3 is: through the 3dB beam width analysis of the solar radiation reflectivity factor Z, when the measured width deviates from the theoretical lobe width by more than ±0.5° or a predetermined range, it is determined that the antenna is deformed and the performance is abnormal.

7. The weather radar health monitoring method based on observation characteristics and natural conditions according to claim 1, characterized in that: The sensitivity monitoring in S3 includes: extracting the strong echo center reflectivity Zmax value, calculating the coverage area after its attenuation of 3dB, and determining that the receiving link gain has decreased when the area is abnormally reduced.

8. The weather radar health monitoring method based on observation characteristics and natural conditions according to claim 1, characterized in that: The polarization isolation diagnosis in S3 includes: synchronously comparing the correlation coefficient CC of solar radiation and light rain echo, and performing dual-scenario verification with isolation thresholds B and D respectively. If CC exceeds the limit in any scenario, an isolation abnormality alarm is triggered.

9. The weather radar health monitoring method based on observation characteristics and natural conditions according to claim 1, characterized in that: The step of data storage is also included: storing the parsed BITE data, characteristic parameters and natural observation data in a configuration directory specified by the control terminal software according to timestamps.

10. The weather radar health monitoring method based on observation characteristics and natural conditions according to claim 1, characterized in that: The comprehensive judgment of S4 adopts a hierarchical alarm mechanism: when S1 is abnormal, a level 1 hardware failure alarm is triggered; when S2 is abnormal, a level 2 performance degradation alarm is triggered; when S3 is abnormal, a level 3 urgent calibration alarm is triggered, and a diagnostic report containing an abnormality location code is generated.

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