Electromagnetic spectrum monitoring system and method

Abstract

The invention discloses an electromagnetic spectrum monitoring system and method, and relates to the technical field of electromagnetic spectrum monitoring. An electromagnetic spectrum monitoring system performs a primary acquisition and outputs a primary acquisition result. A characteristic data primary analysis module is used for comparison and outputs a primary comparison result. The primary comparison result is analyzed and output as a primary fault confirmation result. A characteristic data secondary acquisition module is used for secondary acquisition and outputs a secondary acquisition result. A characteristic data secondary analysis module is used for analyzing the secondary acquisition result and the primary fault confirmation result and outputs a secondary fault confirmation result. An alarm is issued according to the secondary fault confirmation result. Through double acquisition comparison, spectrum characteristics are fully monitored, abnormal signals are accurately identified, monitoring accuracy is improved, faults are intelligently located, processing efficiency is improved, misjudgment is reduced, double analysis enhances recognition accuracy, and a timely alarm mechanism shortens processing time, reduces fault impact, and enhances system stability and reliability.

Description

Technical Field

[0001] The present invention relates to the technical field of electromagnetic spectrum monitoring, and in particular to an electromagnetic spectrum monitoring system and method. Background Art

[0002] As an important technical tool, the role of electromagnetic spectrum monitoring system in modern society is becoming increasingly prominent. With the rapid development of information technology, especially the popularization of wireless communication technologies such as 4G and 5G, the design and application of electromagnetic spectrum monitoring system has become particularly important.

[0003] At present, the Chinese invention patent with application number CN202211303362.9 discloses an electromagnetic spectrum monitoring system and monitoring method, including a business module, an algorithm module, a device driver module, a data management module and a self-test module; the business module is used to complete spectrum monitoring, signal monitoring, signal parameter measurement, signal demodulation and data acquisition; the algorithm module is used to complete signal analysis, signal identification and parameter measurement; the device driver module is used to drive the monitoring receiving device; the data management module is used to complete data storage and generate a database. This invention also discloses a monitoring method for an electromagnetic spectrum monitoring system.

[0004] This invention cannot perform step-by-step monitoring according to the characteristics of the electromagnetic spectrum, confirm the cause of the fault and issue an alarm, which affects the efficiency of electromagnetic spectrum monitoring, the rationality of monitoring resource allocation and the accuracy of alarm prompts. Summary of the invention

[0005] The technical problem solved by the present invention is: in the related technology, although it supports monitoring of the electromagnetic spectrum, it is impossible to perform step-by-step monitoring according to the characteristics of the electromagnetic spectrum, confirm the cause of the fault and issue an alarm, which affects the efficiency of electromagnetic spectrum monitoring, the rationality of monitoring resource allocation and the accuracy of alarm prompts.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] An electromagnetic spectrum monitoring system includes a characteristic data primary acquisition module, a characteristic data primary analysis module, a characteristic data secondary acquisition module, a characteristic data secondary analysis module and a fault problem alarm prompt module:

[0008] The characteristic data primary acquisition module is used to collect the spectrum characteristics, spatial characteristics, time characteristics and polarization characteristics of the electromagnetic spectrum and output the primary acquisition result;

[0009] The characteristic data primary analysis module is used to compare the primary acquisition result with the preset standard characteristic data, output a primary comparison result, analyze the primary comparison result, and output it as a primary fault confirmation result;

[0010] The characteristic data secondary acquisition module is used to perform secondary acquisition of the spectrum characteristics, spatial characteristics, time characteristics and polarization characteristics of the electromagnetic spectrum according to the primary fault confirmation result, and output the secondary acquisition result;

[0011] The characteristic data secondary analysis module is used to analyze the secondary acquisition result and the primary fault confirmation result, and output the secondary fault confirmation result;

[0012] The fault problem alarm prompt module is used to issue an alarm according to the secondary fault confirmation result;

[0013] The characteristic data primary analysis module includes a primary acquisition result comparison unit and a primary comparison result analysis unit:

[0014] The primary acquisition result comparison unit is used to compare the primary acquisition result with the preset standard characteristic data, and output a primary comparison result, wherein the primary comparison result includes a signal bandwidth abnormal signal, an electric field distribution intensity abnormal signal, a signal pulse width abnormal signal, and a polarization direction abnormal signal;

[0015] The primary comparison result analysis unit is used to input the primary comparison result into a preset characteristic-fault correspondence table, find the fault type corresponding to the primary comparison result, and output the found fault type as a primary fault confirmation result;

[0016] The characteristic data secondary acquisition module includes a secondary characteristic data confirmation unit and a secondary characteristic data acquisition unit:

[0017] The secondary characteristic data confirmation unit is used to input the primary fault confirmation result into the characteristic-fault correspondence table, find the secondary characteristic data type corresponding to the primary fault confirmation result, set the acquisition instruction signal according to the found secondary characteristic data type, and output it as a secondary characteristic data acquisition signal;

[0018] The secondary characteristic data acquisition unit is used to perform secondary acquisition of the electromagnetic spectrum according to the secondary characteristic data acquisition signal and output it as a secondary acquisition result, wherein the secondary characteristic data acquisition signal includes a spectrum purity acquisition signal and a time domain waveform acquisition signal, and the secondary acquisition result includes spectrum purity data and time domain waveform data;

[0019] The characteristic data secondary analysis module includes a secondary collection result comparison unit and a secondary comparison result analysis unit:

[0020] The secondary acquisition result comparison unit is used to compare the secondary acquisition result with the preset standard characteristic data, and output the secondary comparison result, wherein the secondary comparison result includes a spectrum purity abnormal signal and a time domain waveform abnormal signal;

[0021] The secondary comparison result analysis unit is used to input the secondary comparison result into the characteristic-fault correspondence table, find the fault type corresponding to the secondary comparison result, and output the found fault type as the secondary fault confirmation result;

[0022] The comparison process in the primary collection result comparison unit and the secondary collection result comparison unit includes data comparison and graphic comparison:

[0023] The data comparison is used to compare the signal bandwidth data, electric field strength distribution data and signal pulse width data of the primary acquisition result and the standard characteristic data, as well as the spectrum purity data, amplitude value and phase value of the secondary acquisition result and the standard characteristic data, to determine whether the data has changed and output a signal bandwidth abnormal signal, an electric field distribution strength abnormal signal, a signal pulse width abnormal signal, a spectrum purity abnormal signal and a time domain waveform abnormal signal.

[0024] Preferably, the characteristic data primary collection module includes a primary characteristic data confirmation unit and a primary characteristic data collection unit:

[0025] The primary characteristic data confirmation unit is used to search the primary characteristic data types corresponding to the spectrum characteristics, spatial characteristics, time characteristics and polarization characteristics in the characteristic-fault correspondence table, set the acquisition instruction signal according to the searched primary characteristic data type, and output it as a primary characteristic data acquisition signal;

[0026] The primary characteristic data acquisition unit is used to collect the electromagnetic spectrum once according to the primary characteristic data acquisition signal and output it as a primary acquisition result. The primary characteristic data acquisition signal includes a signal bandwidth acquisition signal, an electric field strength distribution acquisition signal, a signal pulse width acquisition signal and a polarization direction acquisition signal. The primary acquisition result includes signal bandwidth data, electric field strength distribution data, signal pulse width data and polarization direction data.

[0027] Preferably, the fault problem alarm prompt module includes a fault signal conversion unit and a fault result alarm unit:

[0028] The fault signal conversion unit is used to set and output an alarm command signal according to the secondary fault confirmation result;

[0029] The fault result alarm unit is used to input the alarm command signal into the alarm mechanism and issue an alarm.

[0030] Preferably, the graphical comparison of the comparison process in the primary acquisition result comparison unit and the secondary acquisition result comparison unit is used to compare the polarization direction data of the primary acquisition result and the standard characteristic data, and the time domain waveform diagram of the secondary acquisition result and the standard characteristic data, and the Pearson correlation coefficient is calculated respectively and the polarization direction abnormal signal and the time domain waveform abnormal signal are output according to the Pearson correlation coefficient.

[0031] An electromagnetic spectrum monitoring method, which is applied to an electromagnetic spectrum monitoring system as described above, comprises the following steps:

[0032] Step S1, collect the electromagnetic spectrum once, output a collection result, compare the collection result with the standard characteristic data, output a comparison result, analyze the comparison result, and output it as a fault confirmation result;

[0033] Step S2, inputting the primary fault confirmation result into the collection device and performing secondary collection of the electromagnetic spectrum, outputting the secondary collection result, analyzing the secondary collection result and the primary fault confirmation result, and outputting the secondary fault confirmation result;

[0034] Step S3, setting and outputting an alarm command signal according to the secondary fault confirmation result, inputting the alarm command signal into the alarm mechanism and giving an alarm.

[0035] Preferably, the collection in step S1 includes:

[0036] The signal bandwidth data acquisition includes: inputting the electromagnetic spectrum into the spectrum analyzer and obtaining the power spectrum density diagram, finding the peak power point and the corresponding peak power value of the power spectrum density diagram, starting from the peak power point, looking for power points on both sides where the power drops to half of the peak power value, calculating the difference in frequency corresponding to the power point, and outputting it as signal bandwidth data;

[0037] The electric field intensity distribution data acquisition includes: inputting the electromagnetic spectrum into the spectrum analyzer and recording the electric field intensity data, wherein the electric field intensity data includes the frequency points sorted by size and the electric field intensity values ​​corresponding to the frequency points, drawing the electric field intensity distribution diagram according to the electric field intensity data, and calculating the change rate of the electric field intensity values ​​between adjacent frequency points. The mathematical expression is:

[0038] ;

[0039] in, is the rate of change of the electric field strength, is the difference in electric field strength between adjacent frequency points, is the distance between adjacent frequency points;

[0040] Record the change rates of all electric field intensities in the order of frequency points and output them as change rate data; calculate the maximum, minimum and average values ​​of the electric field intensity values ​​and output them as special value data; combine the electric field intensity data and change rate data and output them as electric field intensity distribution data;

[0041] The signal pulse width data acquisition includes: inputting the electromagnetic spectrum into the spectrum analyzer and calculating the time from when the rising edge amplitude of the pulse signal reaches 50% of the maximum amplitude to when the falling edge amplitude drops to the same specific level, and outputting the signal pulse width data;

[0042] Polarization direction data acquisition includes: inputting the electromagnetic spectrum into the polarization analyzer, obtaining the polarization direction and drawing the polarization curve, and outputting the polarization direction data;

[0043] The secondary collection in step S2 includes:

[0044] Spectral purity data acquisition includes: inputting the electromagnetic spectrum into a spectrum analyzer and obtaining noise power ratio, harmonic frequency intensity outside the main signal frequency, spurious signals, phase noise and out-of-band radiation, and outputting the spectrum purity data;

[0045] The time domain waveform data acquisition includes: inputting the electromagnetic spectrum into a high-speed oscilloscope and obtaining a time domain waveform diagram, recording the amplitude value and phase value of the time domain waveform diagram, and merging the time domain waveform diagram, the amplitude value and the phase value to output as time domain waveform data.

[0046] The beneficial effects of the present invention are as follows: through double collection and comparison, the spectrum characteristics are comprehensively monitored, abnormal signals are accurately identified, the monitoring accuracy is improved, the fault is intelligently located, the processing efficiency is improved, the misjudgment is reduced, the double analysis enhances the recognition accuracy, the timely alarm mechanism shortens the processing time, reduces the impact of faults, and enhances the system stability and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A flowchart of the steps of an electromagnetic spectrum monitoring system provided by one embodiment of the present invention;

[0048] Figure 2 A schematic diagram of a basic flow chart of an electromagnetic spectrum monitoring method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0050] Embodiment 1, refer to Figure 1 , provides an electromagnetic spectrum monitoring system, including a characteristic data primary acquisition module, a characteristic data primary analysis module, a characteristic data secondary acquisition module, a characteristic data secondary analysis module and a fault problem alarm prompt module:

[0051] The characteristic data one-time acquisition module is used to collect the spectrum characteristics, spatial characteristics, time characteristics and polarization characteristics of the electromagnetic spectrum once, and output the one-time acquisition results.

[0052] The characteristic data primary analysis module is used to compare a primary acquisition result with preset standard characteristic data, output a primary comparison result, analyze the primary comparison result, and output a primary fault confirmation result.

[0053] The characteristic data secondary acquisition module is used to perform secondary acquisition on the spectrum characteristics, spatial characteristics, temporal characteristics and polarization characteristics of the electromagnetic spectrum according to the primary fault confirmation result, and output the secondary acquisition result.

[0054] The characteristic data secondary analysis module is used to analyze the secondary acquisition results and the primary fault confirmation results, and output the secondary fault confirmation results.

[0055] The fault problem alarm prompt module is used to issue an alarm based on the secondary fault confirmation result.

[0056] The characteristic data primary collection module includes a primary characteristic data confirmation unit and a primary characteristic data collection unit:

[0057] The primary characteristic data confirmation unit is used to search for the primary characteristic data type corresponding to the spectral characteristic, spatial characteristic, time characteristic and polarization characteristic in the preset characteristic-fault correspondence table, set the acquisition instruction signal according to the searched primary characteristic data type, and output it as a primary characteristic data acquisition signal.

[0058] The primary characteristic data confirmation unit can intelligently match the primary characteristic data type corresponding to the spectral characteristics, spatial characteristics, time characteristics and polarization characteristics according to the preset characteristic-fault correspondence table. This intelligent matching mechanism greatly improves the pertinence and accuracy of data acquisition. According to the matched primary characteristic data type, the corresponding acquisition instruction signal can be flexibly set, which provides clear guidance for subsequent data acquisition work. By determining the acquisition data type and setting the acquisition instruction signal in advance, the acquisition process is optimized, unnecessary acquisition steps and redundant data processing processes are reduced, and the overall efficiency of data acquisition is improved.

[0059] The primary characteristic data acquisition unit is used to perform a primary acquisition of the electromagnetic spectrum according to a primary characteristic data acquisition signal and output it as a primary acquisition result. The primary characteristic data acquisition signal includes a signal bandwidth acquisition signal, an electric field strength distribution acquisition signal, a signal pulse width acquisition signal and a polarization direction acquisition signal. The primary acquisition result includes signal bandwidth data, electric field strength distribution data, signal pulse width data and polarization direction data.

[0060] The primary characteristic data acquisition unit can accurately receive and execute the acquisition instruction signal from the primary characteristic data confirmation unit. During the acquisition process, it strictly operates according to the instruction requirements to ensure the accuracy and consistency of the acquired data, and comprehensively acquires the key data of the spectral characteristics, spatial characteristics, temporal characteristics and polarization characteristics of the electromagnetic spectrum, including signal bandwidth, electric field strength distribution, signal pulse width and polarization direction. These data are of great significance for analyzing the characteristics of the electromagnetic spectrum and identifying potential problems. After the acquisition is completed, the acquisition results are output as primary acquisition results in real time. These results are presented in the form of data, which is convenient for subsequent analysis modules to perform further processing and analysis, and provides reliable data support for subsequent analysis work.

[0061] The characteristic data one-time acquisition module can comprehensively and systematically collect the spectrum characteristics, spatial characteristics, temporal characteristics and polarization characteristics of the electromagnetic spectrum to ensure the integrity and accuracy of the data, which is the basis for subsequent analysis work and provides a rich data source for subsequent fault identification and problem location. Through the one-time characteristic data confirmation unit, the characteristic data type to be collected is intelligently determined according to the preset characteristic-fault correspondence table, and the acquisition instruction signal is set accordingly. It has a high degree of automation, reduces human intervention, and improves the acquisition efficiency. The one-time characteristic data acquisition unit accurately collects the electromagnetic spectrum according to the received acquisition instruction signal, and the output includes signal bandwidth, electric field strength distribution, signal pulse width and polarization direction. These data are of great significance for analyzing the characteristics of the electromagnetic spectrum and identifying potential problems. The quality of the one-time acquisition results directly affects the accuracy and reliability of subsequent analysis work. The characteristic data one-time acquisition module ensures the accuracy and reliability of the one-time acquisition results through strict acquisition process and precise acquisition technology, providing a solid data foundation for the subsequent characteristic data one-time analysis module.

[0062] The characteristic data primary analysis module includes a primary acquisition result comparison unit and a primary comparison result analysis unit:

[0063] The primary acquisition result comparison unit is used to compare the primary acquisition result with the preset standard characteristic data, and output a primary comparison result, wherein the primary comparison result includes a signal bandwidth abnormal signal, an electric field distribution intensity abnormal signal, a signal pulse width abnormal signal and a polarization direction abnormal signal;

[0064] The primary comparison result analysis unit is used to input the primary comparison result into the characteristic-fault correspondence table, find the fault type corresponding to the primary comparison result, and output the found fault type as a primary fault confirmation result.

[0065] The characteristic data secondary collection module includes a secondary characteristic data confirmation unit and a secondary characteristic data collection unit:

[0066] The secondary characteristic data confirmation unit is used to input the primary fault confirmation result into the characteristic-fault correspondence table, find the secondary characteristic data type corresponding to the primary fault confirmation result, set the collection instruction signal according to the found secondary characteristic data type, and output it as a secondary characteristic data collection signal.

[0067] The secondary characteristic data confirmation unit can accurately compare the primary acquisition results with the preset standard characteristic data to ensure the accuracy and reliability of the comparison results. Through a refined data comparison algorithm, it can identify slight differences and abnormal signals. After completing the data comparison, it quickly outputs the comparison results, including signal bandwidth abnormal signals, electric field distribution intensity abnormal signals, signal pulse width abnormal signals and polarization direction abnormal signals. This fast output capability provides timely data support for subsequent fault identification work.

[0068] The secondary characteristic data acquisition unit is used to perform secondary acquisition of the electromagnetic spectrum according to the secondary characteristic data acquisition signal and output it as a secondary acquisition result. The secondary characteristic data acquisition signal includes a spectrum purity acquisition signal and a time domain waveform acquisition signal. The secondary acquisition result includes spectrum purity data and time domain waveform data.

[0069] The secondary characteristic data acquisition unit uses the characteristic-fault correspondence table to intelligently associate the abnormal signal in the primary comparison result with the known fault type. Through complex matching algorithms and logical judgments, it accurately finds the fault type corresponding to the abnormal signal. After finding the corresponding fault type, it outputs it as a primary fault confirmation result. These results are clear and provide clear guidance for subsequent analysis. At the same time, the fault confirmation results are passed to the next module to achieve collaborative work within the system.

[0070] The characteristic data secondary acquisition module quickly compares the actually collected electromagnetic spectrum characteristic data with the preset standard data through the primary acquisition result comparison unit, and accurately identifies abnormal signals in signal bandwidth, electric field distribution intensity, signal pulse width and polarization direction. The primary comparison result analysis unit uses the characteristic-fault correspondence table to associate the identified abnormal signals with known fault types, thereby accurately locating possible fault types. This positioning capability provides a clear guiding direction for subsequent analysis, and significantly improves the efficiency of electromagnetic spectrum monitoring through automated and intelligent analysis processes. Compared with manual analysis, this module can complete data comparison and fault identification more quickly and accurately, reducing manual burden and shortening response time.

[0071] The characteristic data secondary analysis module includes a secondary acquisition result comparison unit and a secondary comparison result analysis unit:

[0072] The secondary acquisition result comparison unit is used to compare the secondary acquisition result with the preset standard characteristic data, and output the secondary comparison result, which includes a spectrum purity abnormal signal and a time domain waveform abnormal signal.

[0073] The secondary acquisition result comparison unit performs a more refined comparison of the secondary acquisition results, not only considering the basic characteristics of the spectrum, but also deeply analyzing the purity of the spectrum and the changes in the time domain waveform. This refined comparison helps to discover subtle anomalies that may be missed in the primary analysis. After completing the comparison, the unit can accurately output the results as secondary comparison results, including spectrum purity abnormal signals and time domain waveform abnormal signals. These results provide key data support for subsequent analysis and fault location.

[0074] The secondary comparison result analysis unit is used to input the secondary comparison result into the characteristic-fault correspondence table, find the fault type corresponding to the secondary comparison result, and output the found fault type as the secondary fault confirmation result.

[0075] The secondary comparison result analysis unit uses the characteristic-fault correspondence table to intelligently map the abnormal signals in the secondary comparison results to specific fault types. Through complex matching algorithms and logical judgments, it accurately identifies the fault type and outputs it as a secondary fault confirmation result.

[0076] Based on the primary analysis module of characteristic data, the secondary analysis module of characteristic data can more deeply identify subtle anomalies in spectrum characteristics, such as spectrum purity anomalies and time domain waveform anomalies, through secondary collection and comparison. These abnormal signals often indicate more complex fault conditions. Using the characteristic-fault correspondence table, the secondary comparison result analysis unit can accurately map the abnormal signals in the secondary comparison results to specific fault types, thereby achieving precise fault positioning, which not only helps to quickly solve the problem, but also improves the efficiency and accuracy of maintenance work. Through in-depth analysis and precise positioning, potential electromagnetic spectrum interference and fault problems can be discovered in a timely manner, thereby effectively avoiding the expansion and deterioration of the problem and enhancing the stability and reliability of the entire electromagnetic spectrum monitoring system.

[0077] The fault problem alarm prompt module includes a fault signal conversion unit and a fault result alarm unit:

[0078] The fault signal conversion unit is used to set and output an alarm command signal according to the secondary fault confirmation result.

[0079] The fault signal conversion unit accurately converts the fault information into an alarm command signal based on the secondary fault confirmation result. This precise conversion ensures the accuracy and pertinence of the alarm command and avoids false alarms or missed alarms due to signal conversion errors. Different alarm command signals are set according to different types of faults to meet the needs of different scenarios. This flexibility enables the module to adapt to various complex fault situations and respond accordingly.

[0080] The fault result alarm unit is used to input the alarm command signal into the alarm mechanism and issue an alarm.

[0081] After receiving the alarm command signal, it is immediately input into the alarm mechanism and triggers the alarm action. This instant alarm mechanism ensures that the fault problem can be discovered and handled in time, reducing the potential impact of the fault on the system operation.

[0082] The fault problem alarm prompt module can quickly convert it into an alarm command signal after receiving the secondary fault confirmation result, and trigger the alarm mechanism to alarm. This rapid response mechanism helps to reduce the impact of the fault on the system operation and improve the stability and reliability of the system. The fault signal conversion unit accurately sets the alarm command signal according to the secondary fault confirmation result to avoid false alarms and missed alarms. At the same time, the fault result alarm module accurately inputs the alarm command signal to the alarm mechanism to ensure the accuracy and effectiveness of the alarm action. Through timely alarm prompts, system administrators can quickly understand the fault situation and take corresponding handling measures, which helps to shorten the fault handling time, reduce fault losses, and improve the overall fault handling capabilities of the system. For users who rely on electromagnetic spectrum monitoring systems, the existence of the fault problem alarm prompt module undoubtedly improves their user experience. They can know the system status in time through alarm prompts, so as to make corresponding decisions and arrangements.

[0083] The alarm command signals include signal source abnormal signal, modulator abnormal signal, power amplifier abnormal signal, filter abnormal signal, receiving system abnormal signal, antenna system abnormal signal, transmitter abnormal signal, transmission line abnormal signal, environment abnormal signal, signal processing abnormal signal and clock abnormal signal.

[0084] The comparison process in the primary collection result comparison unit and the secondary collection result comparison unit includes data comparison and graphic comparison:

[0085] Data comparison is used to compare the signal bandwidth data, electric field strength distribution data and signal pulse width data of the primary acquisition results and the standard characteristic data, as well as the spectrum purity data, amplitude value and phase value of the secondary acquisition results and the standard characteristic data, to determine whether the data has changed and output signal bandwidth abnormality signal, electric field distribution strength abnormality signal, signal pulse width abnormality signal, spectrum purity abnormality signal and time domain waveform abnormality signal.

[0086] Data comparison can accurately determine whether the data has changed by directly comparing key data items. This direct and quantitative comparison method reduces errors in human judgment and improves the accuracy of analysis. By comparing data in multiple dimensions, it can comprehensively evaluate the health status of the collection results and help discover various types of abnormal signals. Once data abnormalities are found, the data comparison process can immediately output the corresponding abnormal signals, providing timely and accurate information support for subsequent troubleshooting.

[0087] The graphic comparison of the comparison process in the primary acquisition result comparison unit and the secondary acquisition result comparison unit is used to compare the polarization direction data of the primary acquisition result and the standard characteristic data, as well as the time domain waveform diagram of the secondary acquisition result and the standard characteristic data, calculate the Pearson correlation coefficient respectively, and output the polarization direction abnormal signal and the time domain waveform abnormal signal according to the Pearson correlation coefficient.

[0088] Graphic comparison shows the difference between the acquisition results and the standard characteristic data in an intuitive way by comparing the polarization direction data and the time domain waveform, making the analysis results easier to understand and accept, and improving the analysis efficiency. Graphic comparison can play an important role in some problems that are difficult to find through simple data comparison. By calculating the Pearson correlation coefficient, graphic comparison can quantify the differences between graphics, thereby discovering potential abnormal signals. The results of graphic comparison serve as a supplement and verification of the data comparison results, further improving the accuracy and reliability of fault judgment.

[0089] The electromagnetic spectrum monitoring system realizes comprehensive monitoring of electromagnetic spectrum characteristics through the coordinated work of the primary acquisition result comparison unit and the secondary acquisition result comparison unit. It not only compares the basic signal parameters, but also deeply analyzes the spectrum purity and time domain waveform. This comprehensive monitoring ensures that the electromagnetic spectrum monitoring system can capture various subtle abnormal signals and improve the accuracy and reliability of monitoring. By using the characteristic-fault correspondence table, the abnormal signals in the comparison results are mapped to the specific fault type, realizing the accurate identification and positioning of the fault. This intelligent fault identification mechanism not only improves the efficiency of fault handling, but also reduces the risk of misjudgment and missed judgment. At the same time, through the in-depth analysis and confirmation of the secondary analysis module, the accuracy and reliability of fault identification are further enhanced. Once the fault problem is identified, the fault problem alarm prompt module will immediately set and output the alarm command signal, triggering the alarm mechanism to alarm. This timely alarm mechanism enables the system administrator to quickly understand the fault situation and take corresponding treatment measures. This not only shortens the fault handling time, but also reduces the impact of the fault on the system operation, and improves the stability and reliability of the system.

[0090] Example 2, refer to Figure 2 , provides an electromagnetic spectrum monitoring method, comprising the following steps:

[0091] Step S1, collect the electromagnetic spectrum once, output a collection result, compare the collection result with the standard characteristic data, output a comparison result, analyze the comparison result, and output it as a fault confirmation result.

[0092] Step S2, inputting the primary fault confirmation result into the collection device and performing secondary collection on the electromagnetic spectrum, outputting the secondary collection result, analyzing the secondary collection result and the primary fault confirmation result, and outputting the secondary fault confirmation result.

[0093] Step S3, setting and outputting an alarm command signal according to the secondary fault confirmation result, inputting the alarm command signal into the alarm mechanism and giving an alarm.

[0094] The collection of step S1 includes:

[0095] Signal bandwidth data acquisition includes: inputting the electromagnetic spectrum into the spectrum analyzer and obtaining the power spectrum density diagram, finding the peak power point and the corresponding peak power value of the power spectrum density diagram, starting from the peak power point, looking for power points on both sides where the power drops to half of the peak power value, calculating the difference in frequencies corresponding to the power points, and outputting it as signal bandwidth data.

[0096] The electric field intensity distribution data acquisition includes: inputting the electromagnetic spectrum into the spectrum analyzer and recording the electric field intensity data, wherein the electric field intensity data includes the frequency points sorted by size and the electric field intensity values ​​corresponding to the frequency points, drawing the electric field intensity distribution diagram according to the electric field intensity data, and calculating the change rate of the electric field intensity values ​​between adjacent frequency points. The mathematical expression is:

[0097] ;

[0098] in, is the rate of change of the electric field strength, is the difference in electric field strength between adjacent frequency points, is the distance between adjacent frequency points.

[0099] The change rates of all electric field intensities are recorded in the order of frequency points and output as change rate data. The maximum, minimum and average values ​​of the electric field intensity values ​​are calculated and output as special value data. The electric field intensity data and change rate data are combined and output as electric field intensity distribution data.

[0100] The signal pulse width data acquisition includes: inputting the electromagnetic spectrum into the spectrum analyzer and calculating the time from the rising edge amplitude of the pulse signal reaching 50% of the maximum amplitude to the falling edge amplitude dropping to the same specific level, and the output is the signal pulse width data.

[0101] Polarization direction data acquisition includes: inputting the electromagnetic spectrum into the polarization analyzer, obtaining the polarization direction and drawing the polarization curve, and outputting the polarization direction data.

[0102] The secondary collection in step S2 includes:

[0103] Spectral purity data acquisition includes: inputting the electromagnetic spectrum into the spectrum analyzer and obtaining the noise power ratio, harmonic frequency intensity outside the main signal frequency, spurious signals, phase noise and out-of-band radiation, and outputting the spectrum purity data.

[0104] The time domain waveform data acquisition includes: inputting the electromagnetic spectrum into a high-speed oscilloscope and obtaining a time domain waveform diagram, recording the amplitude value and phase value of the time domain waveform diagram, and merging the time domain waveform diagram, the amplitude value and the phase value to output as time domain waveform data.

[0105] Through primary and secondary collection, combined with a variety of data collection methods, comprehensive monitoring of electromagnetic spectrum characteristics is achieved, the accuracy and comprehensiveness of monitoring are improved, and the collection results are carefully analyzed, including primary analysis and secondary fault confirmation, which can accurately identify abnormal signals and potential faults in the electromagnetic spectrum, reducing the risk of misjudgment and missed judgment. According to the secondary fault confirmation results, the alarm command signal is intelligently set and output, and the alarm mechanism is triggered in time to alarm, so that the administrator can respond and handle the fault quickly, shorten the fault handling time, and improve stability and reliability. Through data analysis, the data processing efficiency and accuracy are improved, which provides strong support for subsequent fault analysis and processing. The steps are clear and the operation is simple. It is easy to implement and maintain in electromagnetic spectrum monitoring, reducing operating costs.

[0106] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0107] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An electromagnetic spectrum monitoring system, characterized in that: It includes characteristic data primary collection module, characteristic data primary analysis module, characteristic data secondary collection module, characteristic data secondary analysis module and fault problem alarm prompt module: The characteristic data primary acquisition module is used to collect the spectrum characteristics, spatial characteristics, time characteristics and polarization characteristics of the electromagnetic spectrum and output the primary acquisition result; The characteristic data primary analysis module is used to compare the primary acquisition result with the preset standard characteristic data, output a primary comparison result, analyze the primary comparison result, and output it as a primary fault confirmation result; The characteristic data secondary acquisition module is used to perform secondary acquisition of the spectrum characteristics, spatial characteristics, time characteristics and polarization characteristics of the electromagnetic spectrum according to the primary fault confirmation result, and output the secondary acquisition result; The characteristic data secondary analysis module is used to analyze the secondary acquisition result and the primary fault confirmation result, and output the secondary fault confirmation result; The fault problem alarm prompt module is used to issue an alarm according to the secondary fault confirmation result; The characteristic data primary analysis module includes a primary acquisition result comparison unit and a primary comparison result analysis unit: The primary acquisition result comparison unit is used to compare the primary acquisition result with the preset standard characteristic data, and output a primary comparison result, wherein the primary comparison result includes a signal bandwidth abnormal signal, an electric field distribution intensity abnormal signal, a signal pulse width abnormal signal, and a polarization direction abnormal signal; The primary comparison result analysis unit is used to input the primary comparison result into a preset characteristic-fault correspondence table, find the fault type corresponding to the primary comparison result, and output the found fault type as a primary fault confirmation result; The characteristic data secondary acquisition module includes a secondary characteristic data confirmation unit and a secondary characteristic data acquisition unit: The secondary characteristic data confirmation unit is used to input the primary fault confirmation result into the characteristic-fault correspondence table, find the secondary characteristic data type corresponding to the primary fault confirmation result, set the acquisition instruction signal according to the found secondary characteristic data type, and output it as a secondary characteristic data acquisition signal; The secondary characteristic data acquisition unit is used to perform secondary acquisition of the electromagnetic spectrum according to the secondary characteristic data acquisition signal and output it as a secondary acquisition result, wherein the secondary characteristic data acquisition signal includes a spectrum purity acquisition signal and a time domain waveform acquisition signal, and the secondary acquisition result includes spectrum purity data and time domain waveform data; The characteristic data secondary analysis module includes a secondary collection result comparison unit and a secondary comparison result analysis unit: The secondary acquisition result comparison unit is used to compare the secondary acquisition result with the preset standard characteristic data, and output the secondary comparison result, wherein the secondary comparison result includes a spectrum purity abnormal signal and a time domain waveform abnormal signal; The secondary comparison result analysis unit is used to input the secondary comparison result into the characteristic-fault correspondence table, find the fault type corresponding to the secondary comparison result, and output the found fault type as the secondary fault confirmation result; The comparison process in the primary collection result comparison unit and the secondary collection result comparison unit includes data comparison and graphic comparison: The data comparison is used to compare the signal bandwidth data, electric field strength distribution data and signal pulse width data of the primary acquisition result and the standard characteristic data, as well as the spectrum purity data, amplitude value and phase value of the secondary acquisition result and the standard characteristic data, to determine whether the data has changed and output a signal bandwidth abnormal signal, an electric field distribution strength abnormal signal, a signal pulse width abnormal signal, a spectrum purity abnormal signal and a time domain waveform abnormal signal.

2. An electromagnetic spectrum monitoring system as claimed in claim 1, characterized in that: The characteristic data primary acquisition module includes a primary characteristic data confirmation unit and a primary characteristic data acquisition unit: The primary characteristic data confirmation unit is used to search the primary characteristic data types corresponding to the spectrum characteristics, spatial characteristics, time characteristics and polarization characteristics in the characteristic-fault correspondence table, set the acquisition instruction signal according to the searched primary characteristic data type, and output it as a primary characteristic data acquisition signal; The primary characteristic data acquisition unit is used to collect the electromagnetic spectrum once according to the primary characteristic data acquisition signal and output it as a primary acquisition result. The primary characteristic data acquisition signal includes a signal bandwidth acquisition signal, an electric field strength distribution acquisition signal, a signal pulse width acquisition signal and a polarization direction acquisition signal. The primary acquisition result includes signal bandwidth data, electric field strength distribution data, signal pulse width data and polarization direction data.

3. An electromagnetic spectrum monitoring system as claimed in claim 2, characterized in that: The fault problem alarm prompt module includes a fault signal conversion unit and a fault result alarm unit: The fault signal conversion unit is used to set and output an alarm command signal according to the secondary fault confirmation result; The fault result alarm unit is used to input the alarm command signal into the alarm mechanism and issue an alarm.

4. An electromagnetic spectrum monitoring system as claimed in claim 3, characterized in that: The graphic comparison of the comparison process in the primary acquisition result comparison unit and the secondary acquisition result comparison unit is used to compare the polarization direction data of the primary acquisition result and the standard characteristic data, and the time domain waveform diagram of the secondary acquisition result and the standard characteristic data, respectively calculate the Pearson correlation coefficient and output the polarization direction abnormal signal and the time domain waveform abnormal signal according to the Pearson correlation coefficient.

5. An electromagnetic spectrum monitoring method, applied to an electromagnetic spectrum monitoring system as claimed in any one of claims 1 to 4, characterized in that: The following steps are involved: Step S1, collect the electromagnetic spectrum once, output a collection result, compare the collection result with the standard characteristic data, output a comparison result, analyze the comparison result, and output it as a fault confirmation result; Step S2, inputting the primary fault confirmation result into the collection device and performing secondary collection of the electromagnetic spectrum, outputting the secondary collection result, analyzing the secondary collection result and the primary fault confirmation result, and outputting the secondary fault confirmation result; Step S3, setting and outputting an alarm command signal according to the secondary fault confirmation result, inputting the alarm command signal into the alarm mechanism and giving an alarm.

6. The electromagnetic spectrum monitoring method according to claim 5, characterized in that: The acquisition in step S1 includes: The signal bandwidth data acquisition includes: inputting the electromagnetic spectrum into the spectrum analyzer and obtaining the power spectrum density diagram, finding the peak power point and the corresponding peak power value of the power spectrum density diagram, starting from the peak power point, looking for power points on both sides where the power drops to half of the peak power value, calculating the difference in frequency corresponding to the power point, and outputting it as signal bandwidth data; The electric field intensity distribution data acquisition includes: inputting the electromagnetic spectrum into the spectrum analyzer and recording the electric field intensity data, wherein the electric field intensity data includes the frequency points sorted by size and the electric field intensity values ​​corresponding to the frequency points, drawing the electric field intensity distribution diagram according to the electric field intensity data, and calculating the change rate of the electric field intensity values ​​between adjacent frequency points. The mathematical expression is: ； in, is the rate of change of the electric field intensity, is the difference in electric field strength between adjacent frequency points, is the distance between adjacent frequency points; Record the change rates of all electric field intensities in the order of frequency points and output them as change rate data; calculate the maximum, minimum and average values ​​of the electric field intensity values ​​and output them as special value data; combine the electric field intensity data and change rate data and output them as electric field intensity distribution data; The signal pulse width data acquisition includes: inputting the electromagnetic spectrum into the spectrum analyzer and calculating the time from when the rising edge amplitude of the pulse signal reaches 50% of the maximum amplitude to when the falling edge amplitude drops to the same specific level, and outputting the signal pulse width data; Polarization direction data acquisition includes: inputting the electromagnetic spectrum into the polarization analyzer, obtaining the polarization direction and drawing the polarization curve, and outputting the polarization direction data; The secondary collection in step S2 includes: Spectral purity data acquisition includes: inputting the electromagnetic spectrum into a spectrum analyzer and obtaining noise power ratio, harmonic frequency intensity outside the main signal frequency, spurious signals, phase noise and out-of-band radiation, and outputting the spectrum purity data; The time domain waveform data acquisition includes: inputting the electromagnetic spectrum into a high-speed oscilloscope and obtaining a time domain waveform diagram, recording the amplitude value and phase value of the time domain waveform diagram, and merging the time domain waveform diagram, the amplitude value and the phase value to output as time domain waveform data.

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