Electronic mechanical microwave frequency detection system

Abstract

The invention, which relates to the technical field of frequency detection, discloses an electronic mechanical microwave frequency detection system comprising a thermal noise monitoring end, a false frequency monitoring end and an input microwave power correction end. The thermal noise monitoring end is used for detecting whether thermal noise is generated or not during electronic mechanical microwave frequency detection in real time; the false frequency monitoring end is used for analyzing whether false frequency signals caused by signal artifacts appear or not in real time by collecting environmental parameters during electronic mechanical microwave frequency detection in real time and combining the environmental parameters; and the input microwave power correction end is used for judging whether the input microwave power is abnormal or not in real time by combining the false frequency signal, and detecting a plurality of discrete frequencies in real time through multi-frequency signal processing. The electronic mechanical microwave frequency detection system can predict whether thermal noise abnormity occurs in real time in combination with electronic mechanical microwave frequency parameters, distinguish and screen false frequency signals caused by signal artifacts in real time, and distinguish and screen false frequency signals caused by signal artifacts in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of frequency detection, and in particular to an electronic mechanical microwave frequency detection system. Background Art

[0002] Electromechanical microwave frequency detection is a technology that combines electronic technology with mechanical systems, such as MEMS micro-electromechanical systems, to accurately measure the frequency parameters of microwave signals, typically in the 300MHz to 300GHz frequency band. Its core is to sense changes in microwave frequency through the resonant characteristics or dynamic response of mechanical structures, combining the high speed of electronic detection with the ultra-high precision of mechanical systems.

[0003] At present, there are some shortcomings in electronic mechanical microwave frequency detection: 1. Brownian motion, that is, thermal noise, is often generated during electronic mechanical microwave frequency detection. The generation of thermal noise may cause random jitter of the resonant frequency, and it is impossible to timely determine whether thermal noise occurs and correct it in time before the thermal noise occurs, affecting the stability of the frequency at room temperature; 2. During electronic mechanical microwave frequency detection, external mechanical vibration may be caused by environmental influences, which may couple to the resonator under external mechanical vibration, generating false frequency signals. These false frequency signals cannot be distinguished and extracted in time, resulting in low accuracy of electronic mechanical microwave frequency detection; 3. Since the linear vibration range of the mechanical resonator is small, generally only nanometer-level displacement, it is impossible to judge in real time whether the input microwave power is abnormal, which makes it easy to cause saturation and harmonic distortion when the input microwave power is too high. At the same time, the multi-frequency signal processing capability is weak, and it is difficult to detect multiple discrete frequencies at the same time, resulting in limitations in electronic mechanical microwave frequency detection.

[0004] Therefore, an electromechanical microwave frequency detection system is proposed to solve the above problems. Summary of the Invention

[0005] The main object of the present invention is to provide an electromechanical microwave frequency detection system to solve the problems raised in the above background.

[0006] To achieve the above object, the technical solution adopted by the present invention is as follows: an electronic mechanical microwave frequency detection system includes a thermal noise monitoring terminal, a false frequency monitoring terminal and an input microwave power correction terminal; The thermal noise monitoring terminal is used to detect in real time whether thermal noise occurs during the electronic mechanical microwave frequency detection, and to monitor in real time whether the resonance frequency is abnormal based on the thermal noise, and to predict in real time whether thermal noise occurs in combination with the electronic mechanical microwave frequency parameters, thereby achieving early warning of thermal noise; The false frequency monitoring terminal is used to collect environmental parameters during the electronic mechanical microwave frequency detection in real time, analyze in real time whether there is a false frequency signal caused by signal artifacts in combination with the environmental parameters, and distinguish and filter the false frequency signals in real time to ensure the accuracy of the electronic mechanical microwave frequency detection; The input microwave power deviation correction terminal is used to determine in real time whether the input microwave power is abnormal by combining a false frequency signal, and to determine in real time whether the input microwave power is deviated, thereby preventing the input microwave power from deviating and causing saturation and harmonic distortion. At the same time, multiple discrete frequencies are detected in real time through multi-frequency signal processing, thereby reducing the limitations of electronic mechanical microwave frequency detection.

[0007] The thermal noise monitoring end includes a detection decision unit, a thermal noise judgment unit and a resonance frequency prediction unit; The detection decision unit is used to collect basic parameters of electronic mechanical microwave frequency detection in real time through a data acquisition instrument. The basic parameters include the actual values of center frequency, frequency deviation, bandwidth, standing wave ratio and power flatness, and set an electronic mechanical microwave frequency detection decision plan. The decision plan depends on the standard parameter values of center frequency, frequency deviation, bandwidth, standing wave ratio and power flatness.

[0008] The thermal noise judgment unit is used to judge in real time whether thermal noise occurs during the electronic mechanical microwave frequency detection based on the basic parameters. The judgment method is as follows: Step 1: Calculate the power spectral density of thermal noise , the calculation formula is as follows: ; in, represents the Boltzmann constant, represents absolute temperature, represents the equivalent loss resistance of the mechanical resonator; Step 2: Calculate the resonant frequency fluctuation caused by thermal noise , the calculation formula is as follows: ; in, represents the natural frequency of the resonator, represents the effective mass of the resonator, represents the mechanical quality factor, Indicates the vibration amplitude; Step 3: Set the stable threshold of the electromechanical microwave frequency. If it is less than the stability threshold, it means that thermal noise is abnormal. If not, it means that the thermal noise is normal and can be ignored.

[0009] The resonant frequency prediction unit is used to monitor whether the resonant frequency is abnormal in real time based on the thermal noise and calculate the instantaneous deviation of the resonant frequency. , the calculation formula is as follows: ; in, represents the resonator nominal frequency, represents the Boltzmann constant, Indicates the real-time temperature, collected by the temperature sensor. It represents real-time vibration energy and sets the instantaneous deviation standard value. If the instantaneous deviation standard value is greater than the instantaneous deviation of the resonant frequency, it indicates that a resonant frequency abnormality has occurred. If not, it indicates that no resonant frequency abnormality has occurred. Ten minutes is recorded as a cycle, and the average value of three cycles is calculated. If the average values of the three cycles are all greater than the instantaneous deviation of the resonant frequency, it is predicted that a thermal noise abnormality has occurred. If not, it is predicted that no thermal noise abnormality has occurred.

[0010] The false frequency monitoring terminal includes an environment acquisition unit, a signal artifact monitoring unit and a false frequency screening unit; The environmental acquisition unit is used to collect the environmental parameters of electronic mechanical microwave frequency detection at the current moment in real time through environmental monitoring equipment. The environmental monitoring equipment includes a temperature sensor, a humidity sensor, a vibration sensor, an electromagnetic sensor, a spectrum monitor and an air pressure detector. The environmental parameters include temperature, humidity, electric field strength, air pressure and spectrum purity.

[0011] The signal artifact monitoring unit is used to analyze in real time whether a false frequency signal caused by signal artifacts occurs during the electronic mechanical microwave frequency detection, specifically as follows: Calculate the signal artifact of the electronic mechanical microwave frequency at the current moment. The current environmental parameters are one of the considerations for whether signal artifacts appear. Signal artifacts appear differently under different environmental parameters. Here, they are one of the main considerations for capturing signal artifacts. The calculation formula is as follows: ; in, Represents the entropy value of the signal artifact of the electronic mechanical microwave frequency at the current moment, The total number of pixels representing the signal artifact data at the electromechanical microwave frequency, Indicates the The gray value of the signal artifact data, if If it is equal to 0, it means that there is no false frequency signal caused by signal artifacts during the electronic mechanical microwave frequency detection. If it is not equal to 0, it means that a false frequency signal caused by signal artifacts occurs during electronic mechanical microwave frequency detection, and the reporting system issues a warning reminder of signal artifacts.

[0012] The false frequency screening unit is used to distinguish and screen false frequency signals caused by signal artifacts in real time through the AI acceleration security chip.

[0013] The input microwave power deviation correction end includes an input microwave frequency judgment unit, an input microwave frequency threshold unit and a multi-frequency signal processing and detection unit; The input microwave frequency judgment unit is used to calculate the input microwave power deviation value in real time to determine whether the input microwave power at the current moment is abnormal. The calculation formula is as follows: ; in, Indicates the input microwave power deviation value, represents the number of sampling points of input microwave power, Represents the power value of each sampling point, Represents the average value of the input microwave power at the sampling point.

[0014] The input microwave frequency threshold unit is used to set the input microwave power deviation value safety threshold. If the value is greater than the safety threshold of the input microwave power deviation value, it indicates that the input microwave power at the current moment is abnormal. If not, it indicates that the input microwave power at the current moment is normal.

[0015] The multi-frequency signal processing detection unit is used to detect multiple discrete frequencies in real time through a multi-frequency signal processor, and calculate the frequency power E[f[ i ,t], the calculation formula is as follows: E[f i ,t]=αE[f i ,t-1]+(1-α)|X[f i ]∣ 2 ; Among them, α represents the forgetting factor, which is used to balance real-time and stability, 1-α represents the weight coefficient of the current observation value, E[f i ,t-1] represents the same frequency f at the previous moment (t-1) i The power estimate of .

[0016] The present invention has the following beneficial effects: 1. In the present invention, by setting a thermal noise monitoring terminal, whether thermal noise occurs during the electronic mechanical microwave frequency detection is determined in real time, and whether a resonant frequency abnormality occurs is monitored in real time based on the thermal noise. This enables the system to predict in real time whether a thermal noise abnormality occurs in combination with the electronic mechanical microwave frequency parameters, thereby achieving early warning of thermal noise and timely correction before the thermal noise occurs, thereby improving the stability of electronic mechanical microwave frequency detection at room temperature.

[0017] 2. In the present invention, by setting a false frequency monitoring terminal, when performing electronic mechanical microwave frequency detection, whether false frequency signals caused by signal artifacts appear during the electronic mechanical microwave frequency detection are analyzed in real time, and false frequency signals caused by signal artifacts are distinguished and screened in real time, so that the system can avoid the occurrence of false frequency signals during electronic mechanical microwave frequency detection, and can distinguish and extract false frequency signals in time when they appear, thereby further improving the accuracy of electronic mechanical microwave frequency detection.

[0018] 3. In the present invention, by setting an input microwave power correction end, when performing electronic mechanical microwave frequency detection, it is possible to judge in real time whether the input microwave power deviates, and perform microwave frequency correction calculation in real time when the electronic mechanical microwave frequency deviates, so that the system can prevent the input microwave power from deviating and causing saturation and harmonic distortion. At the same time, through multi-frequency signal processing, multiple discrete frequencies can be detected in real time, which can reduce the limitations of electronic mechanical microwave frequency detection, solve the problem that the system cannot judge in real time whether the input microwave power is abnormal, and further reduce the limitations of electronic mechanical microwave frequency detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 Schematic diagram of the overall system architecture of the electromechanical microwave frequency detection system of the present invention; Figure 2 Schematic diagram of the thermal noise monitoring end of the electronic mechanical microwave frequency detection system of the present invention; Figure 3 Schematic diagram of the structure of the false frequency monitoring terminal of the electronic mechanical microwave frequency detection system of the present invention; Figure 4 This is a schematic diagram of the structure of the input microwave power deviation correction end of the electronic mechanical microwave frequency detection system of the present invention. DETAILED DESCRIPTION

[0020] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0021] Example 1, please refer to Figures 1 to 2 Figure 1: An electronic mechanical microwave frequency detection system, including a thermal noise monitoring terminal, a false frequency monitoring terminal, and an input microwave power correction terminal. The thermal noise monitoring terminal is used to detect in real time whether thermal noise occurs during the electronic mechanical microwave frequency detection, and to monitor in real time whether the resonant frequency is abnormal based on the thermal noise. It also predicts in real time whether thermal noise occurs in combination with the electronic mechanical microwave frequency parameters, thus achieving early warning of thermal noise. The false frequency monitoring terminal is used to collect environmental parameters during electronic mechanical microwave frequency detection in real time, and analyze whether there are false frequency signals caused by signal artifacts in real time based on the environmental parameters. It also distinguishes and filters false frequency signals in real time to ensure the accuracy of electronic mechanical microwave frequency detection. The input microwave power correction terminal is used to determine in real time whether the input microwave power is abnormal by combining false frequency signals, and to determine in real time whether the input microwave power is deviated, to prevent saturation and harmonic distortion caused by input microwave power deviation. At the same time, multiple discrete frequencies are detected in real time through multi-frequency signal processing, reducing the limitations of electronic mechanical microwave frequency detection.

[0022] The thermal noise monitoring end includes a detection decision unit, a thermal noise judgment unit and a resonance frequency prediction unit; The detection decision unit is used to collect the basic parameters of the electronic mechanical microwave frequency detection in real time through a data acquisition instrument. The basic parameters include the actual values of the center frequency, frequency deviation, bandwidth, standing wave ratio and power flatness, and set the electronic mechanical microwave frequency detection decision plan. The decision plan depends on the standard parameter values of the center frequency, frequency deviation, bandwidth, standing wave ratio and power flatness.

[0023] The thermal noise judgment unit is used to judge in real time whether thermal noise occurs during the electronic mechanical microwave frequency detection based on basic parameters. The judgment method is as follows: Step 1: Calculate the power spectral density of thermal noise , the calculation formula is as follows: ; in, represents the Boltzmann constant, represents absolute temperature, represents the equivalent loss resistance of the mechanical resonator; Step 2: Calculate the resonant frequency fluctuation caused by thermal noise , the calculation formula is as follows: ; in, represents the natural frequency of the resonator, represents the effective mass of the resonator, represents the mechanical quality factor, Indicates the vibration amplitude; Step 3: Set the stable threshold of the electromechanical microwave frequency. If it is less than the stability threshold, it means that thermal noise is abnormal. If not, it means that the thermal noise is normal and can be ignored.

[0024] The resonant frequency prediction unit is used to monitor whether the resonant frequency is abnormal in real time based on the thermal noise and calculate the instantaneous deviation of the resonant frequency. , the calculation formula is as follows: ; in, represents the resonator nominal frequency, represents the Boltzmann constant, Indicates the real-time temperature, collected by the temperature sensor. It represents real-time vibration energy and sets the instantaneous deviation standard value. If the instantaneous deviation standard value is greater than the instantaneous deviation of the resonant frequency, it indicates that a resonant frequency abnormality has occurred. If not, it indicates that no resonant frequency abnormality has occurred. Ten minutes is recorded as a cycle, and the average value of three cycles is calculated. If the average values of the three cycles are all greater than the instantaneous deviation of the resonant frequency, it is predicted that a thermal noise abnormality has occurred. If not, it is predicted that no thermal noise abnormality has occurred. Whether a resonant frequency abnormality occurs is monitored in real time based on the thermal noise, so that the system can combine the electronic mechanical microwave frequency parameters to predict whether a thermal noise abnormality occurs in real time, realize early warning of thermal noise, and correct it in time before the thermal noise occurs, thereby improving the stability of electronic mechanical microwave frequency detection at room temperature.

[0025] Example 2, please refer to Figure 3 As shown: Based on the first embodiment, the false frequency monitoring terminal includes an environment acquisition unit, a signal artifact monitoring unit and a false frequency screening unit; The environmental acquisition unit is used to collect the environmental parameters of electronic mechanical microwave frequency detection at the current moment in real time through environmental monitoring equipment. The environmental monitoring equipment includes temperature sensors, humidity sensors, vibration sensors, electromagnetic sensors, spectrum monitors and air pressure detectors. The environmental parameters include temperature, humidity, electric field strength, air pressure and spectrum purity.

[0026] The signal artifact monitoring unit is used to analyze in real time whether there is a false frequency signal caused by signal artifacts during the electronic mechanical microwave frequency detection. The details are as follows: Calculate the signal artifact of the electromechanical microwave frequency at the current moment using the following formula: ; in, Represents the entropy value of the signal artifact of the electronic mechanical microwave frequency at the current moment, The total number of pixels representing the signal artifact data at the electromechanical microwave frequency, Indicates the The gray value of the signal artifact data, if If it is equal to 0, it means that there is no false frequency signal caused by signal artifacts during the electronic mechanical microwave frequency detection. If it is not equal to 0, it means that a false frequency signal caused by signal artifacts occurs during electronic mechanical microwave frequency detection, and the reporting system issues an early warning reminder of signal artifacts (here, environmental parameters are used as one of the considerations for determining whether signal artifacts occur).

[0027] The false frequency screening unit is used to use the AI acceleration security chip to distinguish and screen the false frequency signals caused by signal artifacts in real time. By distinguishing and screening the false frequency signals caused by signal artifacts in real time, the accuracy of electronic mechanical microwave frequency detection is improved, so that the system can avoid external mechanical vibration caused by environmental influences when performing electronic mechanical microwave frequency detection, avoid the occurrence of false frequency signals during electronic mechanical microwave frequency detection, and can promptly distinguish and extract false frequency signals when they occur, thereby further improving the accuracy of electronic mechanical microwave frequency detection.

[0028] Example 3, please refer to Figure 4 As shown: Based on the first embodiment, the input microwave power deviation correction end includes an input microwave frequency judgment unit, an input microwave frequency threshold unit and a multi-frequency signal processing and detection unit; The input microwave frequency judgment unit is used to calculate the input microwave power deviation value in real time and judge whether the input microwave power at the current moment is abnormal. The calculation formula is as follows: ; in, Indicates the input microwave power deviation value, represents the number of sampling points of input microwave power, Represents the power value of each sampling point, Represents the average value of the input microwave power at the sampling point.

[0029] The input microwave frequency threshold unit is used to set the input microwave power deviation value safety threshold. If the value is greater than the safety threshold of the input microwave power deviation value, it indicates that the input microwave power at the current moment is abnormal. If not, it indicates that the input microwave power at the current moment is normal.

[0030] The multi-frequency signal processing detection unit is used to detect multiple discrete frequencies in real time through the multi-frequency signal processor and calculate the frequency power E[f i ,t], the calculation formula is as follows: E[f i ,t]=αE[f i ,t-1]+(1-α)|X[f i ]∣ 2 ; Among them, α represents the forgetting factor, which is used to balance real-time and stability, 1-α represents the weight coefficient of the current observation value, E[f i ,t-1] represents the same frequency f at the previous moment (t-1) iThe power estimation value is obtained by performing microwave frequency correction calculation in real time when the electronic mechanical microwave frequency deviates, so that the system can prevent the input microwave power deviation from saturation and harmonic distortion. At the same time, multi-frequency signal processing can detect multiple discrete frequencies in real time, which can reduce the limitations of electronic mechanical microwave frequency detection and solve the problem that the system cannot judge whether the input microwave power is abnormal in real time. At the same time, multi-frequency signal processing increases the signal processing capability and can detect multiple discrete frequencies of electronic mechanical microwave frequency at the same time, further reducing the limitations of electronic mechanical microwave frequency detection.

[0031] In the present invention, the electronic mechanical microwave frequency detection system, when the system is in operation, first enters the thermal noise monitoring end, detects the basic parameters of the electronic mechanical microwave frequency in real time, and judges in real time whether thermal noise occurs when the electronic mechanical microwave frequency detection is performed based on the basic parameters, and monitors in real time whether a resonant frequency abnormality occurs based on the thermal noise, so that the system can predict in real time whether a thermal noise abnormality occurs based on the electronic mechanical microwave frequency parameters, and can achieve early warning of thermal noise, and correct it in time before the thermal noise occurs, thereby improving the stability of electronic mechanical microwave frequency detection at room temperature; enters the false frequency monitoring end, and when performing electronic mechanical microwave frequency detection, collects in real time the environmental parameters during the electronic mechanical microwave frequency detection, and analyzes in real time whether a false frequency signal caused by signal artifacts occurs during the electronic mechanical microwave frequency detection based on the current environmental parameters, and distinguishes and filters in real time the false frequency signals caused by signal artifacts, thereby improving the accuracy of electronic mechanical microwave frequency detection, so that the system can detect the false frequency signal caused by signal artifacts in real time. During measurement, external mechanical vibration caused by environmental influences is avoided, false frequency signals are avoided during electronic mechanical microwave frequency detection, and false frequency signals can be timely identified and extracted when they appear, thereby further improving the accuracy of electronic mechanical microwave frequency detection; entering the input microwave power correction end, when performing electronic mechanical microwave frequency detection, whether the input microwave power is abnormal is judged in real time by combining the false frequency signal, whether the input microwave power deviates in real time, and microwave frequency correction calculation is performed in real time when the electronic mechanical microwave frequency deviates, so that the system can prevent saturation and harmonic distortion caused by input microwave power deviation, and at the same time, multiple discrete frequencies can be detected in real time through multi-frequency signal processing, which can reduce the limitations of electronic mechanical microwave frequency detection and solve the problem that the system cannot judge whether the input microwave power is abnormal in real time. At the same time, the signal processing capability is increased through multi-frequency signal processing, and multiple discrete frequencies of electronic mechanical microwave frequency can be detected at the same time, further reducing the limitations of electronic mechanical microwave frequency detection.

[0032] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. An electromechanical microwave frequency detection system, characterized in that: The visual real-time monitoring system for atlantoaxial dislocation intraoperative reduction comprises a thermal noise monitoring terminal, a false frequency monitoring terminal and an input microwave power correction terminal; The thermal noise monitoring terminal is used to detect in real time whether thermal noise occurs during the electronic mechanical microwave frequency detection, and to monitor in real time whether the resonance frequency is abnormal based on the thermal noise, and to predict in real time whether thermal noise occurs in combination with the electronic mechanical microwave frequency parameters, thereby achieving early warning of thermal noise; The false frequency monitoring terminal is used to collect environmental parameters during the electronic mechanical microwave frequency detection in real time, analyze in real time whether there is a false frequency signal caused by signal artifacts in combination with the environmental parameters, and distinguish and filter the false frequency signals in real time to ensure the accuracy of the electronic mechanical microwave frequency detection; The input microwave power deviation correction terminal is used to determine in real time whether the input microwave power is abnormal by combining a false frequency signal, and to determine in real time whether the input microwave power is deviated, thereby preventing the input microwave power from deviating and causing saturation and harmonic distortion. At the same time, multiple discrete frequencies are detected in real time through multi-frequency signal processing, thereby reducing the limitations of electronic mechanical microwave frequency detection.

2. The system according to claim 1, wherein: The thermal noise monitoring end includes a detection decision unit, a thermal noise judgment unit and a resonance frequency prediction unit; The detection decision unit is used to collect basic parameters of electronic mechanical microwave frequency detection in real time through a data acquisition instrument. The basic parameters include the actual values of center frequency, frequency deviation, bandwidth, standing wave ratio and power flatness, and set an electronic mechanical microwave frequency detection decision plan. The decision plan depends on the standard parameter values of center frequency, frequency deviation, bandwidth, standing wave ratio and power flatness.

3. The system according to claim 2, characterized in that The thermal noise judgment unit is used to judge in real time whether thermal noise occurs during the electronic mechanical microwave frequency detection based on the basic parameters. The judgment method is as follows: Step 1: Calculate the power spectral density of thermal noise , the calculation formula is as follows: ； in, represents the Boltzmann constant, represents absolute temperature, represents the equivalent loss resistance of the mechanical resonator; Step 2: Calculate the resonant frequency fluctuation caused by thermal noise , the calculation formula is as follows: ； in, represents the natural frequency of the resonator, represents the effective mass of the resonator, represents the mechanical quality factor, Indicates the vibration amplitude; Step 3: Set the stable threshold of the electromechanical microwave frequency. If it is less than the stability threshold, it means that thermal noise is abnormal. If not, it means that the thermal noise is normal and can be ignored.

4. The system according to claim 3, characterized in that The resonant frequency prediction unit is used to monitor whether the resonant frequency is abnormal in real time based on the thermal noise and calculate the instantaneous deviation of the resonant frequency. , the calculation formula is as follows: ； in, represents the resonator nominal frequency, represents the Boltzmann constant, Indicates the real-time temperature, collected by the temperature sensor. It represents real-time vibration energy and sets the instantaneous deviation standard value. If the instantaneous deviation standard value is greater than the instantaneous deviation of the resonant frequency, it indicates that a resonant frequency abnormality has occurred. If not, it indicates that no resonant frequency abnormality has occurred. Ten minutes is recorded as a cycle, and the average value of three cycles is calculated. If the average values of the three cycles are all greater than the instantaneous deviation of the resonant frequency, it is predicted that a thermal noise abnormality has occurred. If not, it is predicted that no thermal noise abnormality has occurred.

5. The system according to claim 1, wherein: The false frequency monitoring terminal includes an environment acquisition unit, a signal artifact monitoring unit and a false frequency screening unit; The environmental acquisition unit is used to collect the environmental parameters of electronic mechanical microwave frequency detection at the current moment in real time through environmental monitoring equipment. The environmental monitoring equipment includes a temperature sensor, a humidity sensor, a vibration sensor, an electromagnetic sensor, a spectrum monitor and an air pressure detector. The environmental parameters include temperature, humidity, electric field strength, air pressure and spectrum purity.

6. The system according to claim 5, characterized in that The signal artifact monitoring unit is used to analyze in real time whether a false frequency signal caused by signal artifacts occurs during the electronic mechanical microwave frequency detection, specifically as follows: Calculate the signal artifact of the electromechanical microwave frequency at the current moment using the following formula: ； in, Represents the entropy value of the signal artifact of the electronic mechanical microwave frequency at the current moment, The total number of pixels representing the signal artifact data at the electromechanical microwave frequency, Indicates the The gray value of the signal artifact data, if If it is equal to 0, it means that there is no false frequency signal caused by signal artifacts during the electronic mechanical microwave frequency detection. If it is not equal to 0, it means that a false frequency signal caused by signal artifacts occurs during electronic mechanical microwave frequency detection, and the reporting system issues a warning reminder of signal artifacts.

7. The system according to claim 6, characterized in that The false frequency screening unit is used to distinguish and screen false frequency signals caused by signal artifacts in real time through the AI acceleration security chip.

8. The system according to claim 1, wherein: The input microwave power deviation correction end includes an input microwave frequency judgment unit, an input microwave frequency threshold unit and a multi-frequency signal processing and detection unit; The input microwave frequency judgment unit is used to calculate the input microwave power deviation value in real time to determine whether the input microwave power at the current moment is abnormal. The calculation formula is as follows: ； in, Indicates the input microwave power deviation value, represents the number of sampling points of input microwave power, Represents the power value of each sampling point, Represents the average value of the input microwave power at the sampling point.

9. The system according to claim 8, characterized in that The input microwave frequency threshold unit is used to set the input microwave power deviation value safety threshold. If the value is greater than the safety threshold of the input microwave power deviation value, it indicates that the input microwave power at the current moment is abnormal. If not, it indicates that the input microwave power at the current moment is normal.

10. The system according to claim 9, characterized in that The multi-frequency signal processing detection unit is used to detect multiple discrete frequencies in real time through a multi-frequency signal processor, and calculate the frequency power E[f[ i ,t], the calculation formula is as follows: ； Among them, α represents the forgetting factor, which is used to balance real-time and stability, 1-α represents the weight coefficient of the current observation value, E[f i ,t-1] represents the same frequency f at the previous moment (t-1) i The power estimate of .

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