Molecular gas chamber leak rate detection method, electronic device, and detection system

Abstract

The application provides a molecular gas chamber leakage rate detection method, an electronic device and a detection system. The method can include: testing spectrum data of a to-be-detected molecular gas chamber; calculating a half-height width of the spectrum data according to the spectrum data; and determining a leakage rate of the to-be-detected molecular gas chamber based on the half-height widths obtained at multiple times. In the method, the leakage rate detection accuracy of the molecular gas chamber can be better ensured without affecting the purity in the molecular gas chamber.

Description

Technical Field

[0001] This application relates to the field of clock detection technology, and more specifically, to a method, electronic device and detection system for detecting the leakage rate of a molecular gas cell. Background Technology

[0002] Sealing performance testing technology plays an important role in the vacuum field, as some vacuum components or devices can only be used normally under a certain vacuum level.

[0003] In the field of molecular clocks, the sealing of the molecular cell and the filling of the polar gas are carried out simultaneously. Currently, the back pressure method is commonly used to test the leak rate of the cell in the molecular clock. However, the back pressure method has the following drawbacks: residual helium in the molecular cell affects the purity of the gas in the cell, thus affecting the performance of the molecular clock. Summary of the Invention

[0004] The purpose of this application is to provide a method, electronic device and detection system for detecting the leakage rate of a molecular gas cell, which can better ensure the detection accuracy of the molecular gas cell without affecting the purity of the molecular gas cell.

[0005] In a first aspect, embodiments of this application provide a method for detecting the leakage rate of a molecular gas cell, comprising: testing the spectral data of a molecular gas cell to be tested; calculating the half-width at half maximum (WHM) of the spectral data based on the spectral data; and determining the leakage rate of the molecular gas cell to be tested based on the WHM obtained at multiple times.

[0006] The above-described implementation method allows for the detection of the molecular gas chamber's airtightness without filling it with other gases, thus better ensuring the purity of the molecular gas chamber. Furthermore, since no additional equipment beyond that required for molecular clock operation is needed to determine the leakage rate, the difficulty of determining the molecular gas chamber for the molecular clock is also reduced.

[0007] In an optional implementation, determining the leakage rate of the molecular gas cell to be tested based on the full width at half maximum (FWHM) obtained over multiple time periods includes: constructing a first variation law of the FWHM over time based on the FWHM obtained over multiple time periods; determining the leakage rate of the molecular gas cell to be tested based on the first variation law and a preset variation relationship; wherein the preset variation relationship represents the relationship between the rate of change of the FWHM and the leakage rate of the molecular gas cell to be tested, and the preset variation relationship is a pre-calibrated value.

[0008] In an optional implementation, the method for determining the preset change relationship includes: constructing a first change relationship of the gas pressure of the molecular gas cell to be tested changing with time; constructing a second change relationship of the half-width at half-maximum (WHM) of the molecular gas cell to be tested changing with time; and determining the preset change relationship based on the first change relationship and the second change relationship.

[0009] In an optional implementation, the preset variation relationship is expressed as the following formula:

[0010] ;

[0011] in, This indicates the leakage rate after the molecular gas cell to be tested is encapsulated; This indicates the volume of the molecular gas chamber to be tested; Represents the speed of light; Indicates standard atmospheric pressure; Indicates OCS gas in The half-width and half-height of the Lorentz wavenumber of the impurity air during nearby absorption; This represents the rate of change of half-width over time.

[0012] In the above implementation, the relationship between the leakage rate after molecular gas chamber encapsulation and the rate of change of half width at half maximum (FWHM) over time is transformed into the relatively simple formula mentioned above. This makes it easier to determine the leakage rate based on the rate of change of FWHM over time and also reduces the amount of computation required to determine the leakage rate.

[0013] In an optional implementation, the spectral data includes a spectral variation trend; the spectral data of the molecular gas cell to be tested includes: the power of the molecular gas cell to be tested determined at multiple different frequencies; and curve fitting is performed based on the power at the multiple different frequencies to obtain the spectral variation trend of the molecular gas cell to be tested.

[0014] In the above implementation method, curve fitting can provide a more coherent and complete understanding of the spectral variation trend, thereby making the determination of the half-width at half-maximum (WHM) based on the spectral variation trend simpler and more intuitive.

[0015] In an optional implementation, calculating the half-width at half-maximum (WHM) of the spectral data based on the spectral data includes: determining a first position and a second position at the half-peak in the spectral variation trend; and obtaining the WHM of the spectral data based on the first position and the second position.

[0016] In an optional implementation, the testing of the spectral data of the molecular gas cell to be tested includes: testing the spectral data of the molecular gas cell to be tested according to a set time pattern, wherein the set time pattern includes any one of a specified time node, every equal time interval, and every set time gradient.

[0017] In the above implementation method, spectral data can also be tested based on a set time pattern. Furthermore, the set time pattern can be combined with a variety of adjustable methods, such as: specifying time nodes, every equal time interval, and every set time gradient, thereby improving the flexibility of the spectral data determination method or determination logic, better adapting to the testing needs of spectral data under different conditions, and thus better finding the variation pattern of the half-width at half-maximum under various conditions.

[0018] In an optional implementation, the method further includes: determining the pressure change within the molecular gas chamber based on the leakage rate of the molecular gas chamber; and obtaining the lifetime of the molecular gas chamber based on the pressure change.

[0019] In the above implementation method, the lifespan of the molecular gas chamber can also be determined based on the leakage rate of the molecular gas chamber. Based on the determination of this lifespan, the service life of the product can be better predicted.

[0020] Secondly, embodiments of this application provide an electronic device, including: a processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the machine-readable instructions are executed by the processor to perform the steps of the above-described method.

[0021] Thirdly, embodiments of this application provide a detection system, including: a transmitter, a receiver, a spectrum analyzer, and a processing unit; the transmitter is used to transmit a signal to a molecular gas cell to be tested; the receiver is used to receive the signal output by the molecular gas cell to be tested; the spectrum analyzer is used to construct spectral data of the molecular gas cell to be tested based on the signal output by the receiver; the processing unit is used to perform the steps of the above method to determine the leakage rate of the molecular gas cell to be tested.

[0022] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the method described above.

[0023] Fifthly, embodiments of this application provide a computer program product, including a computer-readable storage medium storing program code, wherein the instructions included in the program code can be used to execute the steps of the molecular gas chamber leak rate detection method described in the above method embodiments. Attached Figure Description

[0024] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a schematic diagram of the operating environment of the detection system provided in the embodiments of this application;

[0026] Figure 2 A block diagram illustrating an electronic device provided in an embodiment of this application;

[0027] Figure 3 A flowchart of the molecular gas cell leak rate detection method provided in the embodiments of this application;

[0028] Figure 4 This is a partial flowchart of the molecular gas chamber leak rate detection method provided in the embodiments of this application. Detailed Implementation

[0029] The technical solutions in the embodiments of this application will now be described with reference to the accompanying drawings.

[0030] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0031] Some vacuum devices require a certain vacuum level to function properly. If a vacuum device fails to meet the required vacuum level after a certain period of time due to a certain leakage rate, it may fail. Therefore, leak detection technology is an indispensable step in the production of vacuum devices before they are put into use.

[0032] Some common vacuum leak detection techniques include the bubble method and ionization method. These methods can qualitatively determine whether a device is leaking and can locate the leak point. However, these methods are only applicable when the leak rate is relatively high, and have significant limitations. Later, with the development of vacuum leak detection technology, helium mass spectrometry leak detectors were applied in leak detection methods. After a long period of development, helium mass spectrometry leak detectors can typically achieve high performance. The detection sensitivity has been improved, and the detection sensitivity has even been developed to a level where... The device.

[0033] Inside a helium mass spectrometer leak detector, gas is ionized into ions. Under the influence of an internal electric field, these ions enter the magnetic analyzer at a certain velocity. Under the influence of a uniform magnetic field, the Lorentz force causes the ions to follow a circular trajectory. The deflection radius is related to the mass of the ions. A device is placed at the end of the path through which the helium particles can pass to detect the amount of helium. This allows the amount of helium entering the helium mass spectrometer leak detector from the sample to be measured, thus calculating the sample leak rate. Common methods used for leak rate detection in helium mass spectrometers include direct helium injection, helium hooding, and backpressure methods.

[0034] During the commercialization of molecular clocks, a certain amount of polar molecular clock gas needs to be filled into the molecular gas chamber to ensure absorption of terahertz microwaves, thereby achieving clock locking. Therefore, maintaining stable pressure within the molecular gas chamber is extremely important during this process. This stable pressure is related to the gas tightness. Assuming the volume of the molecular gas chamber is... Molecular gas cell leakage rate air pressure rises This means it is considered to have failed. Therefore, its lifespan is: With a lifespan of 11.6 days, this is too short for molecular clock products, limiting its application in the field of molecular clocks.

[0035] In the field of molecular clocks, the sealing of the molecular gas chamber and the filling of the polar gas are carried out simultaneously. Therefore, currently only the back pressure method can be used to measure the leak rate. However, the back pressure method has the following drawbacks: 1) The back pressure method can leave some helium gas in the molecular gas chamber, affecting the purity of the gas and thus the performance of the molecular clock. 2) The measurement accuracy of the back pressure method is usually only [insert accuracy here]. The pressure is on the order of magnitude (it cannot be inflated to one atmosphere), while molecular clocks are small-sized devices with long lifespan requirements, thus failing to meet testing and production needs. 3) When using the back pressure method to measure the leak rate of ultra-small devices, even if the device leak rate is large, the measured leak rate will drop rapidly during the longest waiting period. The device will still be considered as sealed and enter the next production stage, resulting in lower reliability of the test results.

[0036] Based on the above research and analysis, the embodiments of this application can provide a molecular gas cell leak rate detection method, electronic device, and detection system, which can improve the detection accuracy and reliability of molecular gas cells. The following examples illustrate the molecular gas cell leak rate detection method provided by this application.

[0037] To facilitate understanding of this embodiment, the operating environment for implementing the molecular gas chamber leak rate detection method disclosed in this application embodiment will first be introduced.

[0038] like Figure 1The diagram shown is an interactive schematic of the detection system provided in an embodiment of this application. The detection system may include: a transmitter 120, a receiver 130, a spectrum analyzer 140, and a processing unit 110.

[0039] Transmitter 120 is used to transmit signals to the molecular gas chamber 200 under test, and receiver 130 is used to receive signals output from the molecular gas chamber under test. Both transmitter 120 and receiver 130 may include microwave sources, which may be modules or signal sources.

[0040] Optionally, the transmitter 120 can be used to transmit terahertz microwaves required by the molecular gas chamber 200. The transmitter 120 can be a terahertz transmitter 120, and the receiver 130 can be a terahertz receiver 130. The receiver 130 may also include a frequency conversion module. The frequency conversion module can be a down-conversion module, converting the unprocessable high-frequency terahertz to a processable low-frequency.

[0041] The spectrum analyzer 140 is used to construct the spectral data of the molecular gas cell 200 under test based on the signal received by the receiver 130. Exemplarily, the spectrum analyzer 140 can be a device capable of detecting power in a specific frequency band, and may include a detector and a voltage detection device. For example, after the receiver 130 converts the microwave signal to a frequency, the power can be converted into a voltage signal by the detector of the spectrum analyzer 140, and then the voltage signal can be detected using a voltage detection device such as an analog-to-digital converter (ADC) or a digital multimeter.

[0042] The processing unit 110 is used to perform various steps in the molecular gas cell 200 detection method to determine the leak rate of the molecular gas cell 200 to be tested. For example, the processing unit 110 can be used to process and calculate the spectral data obtained by the spectrum analyzer 140 to determine the leak rate of the molecular gas cell 200 to be tested.

[0043] The processing unit 110 can be connected to a set of transmitters 120 and receivers 130. The processing unit 110 can also be connected to multiple sets of transmitters 120 and receivers 130. Each set of transmitters 120 and receivers 130 can be used to perform measurements on a molecular gas chamber 200.

[0044] The processing unit 110 can be used to control the transmitter 120 to transmit signals to the molecular gas chamber 200. The processing unit 110 can determine the timing for controlling the transmitter 120 to transmit signals to the molecular gas chamber 200 based on pre-set test rules. These test rules may include test time, data selection for the test, etc. For example, the test time may include selecting the test time interval and test time nodes. For example, the data selection for the test may include the method of obtaining spectral data. The method of obtaining spectral data may include determining the spectral curve based on power at multiple frequencies.

[0045] The processing unit 110 can be Figure 2 The illustrated electronic device has computing capabilities. The processing unit 110 can be a personal computer (PC), tablet computer, smartphone, personal digital assistant (PDA), etc. The processing unit 110 can also be a chip with processing capabilities. It can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor, etc.

[0046] like Figure 2 The diagram shown is a block illustration of an electronic device. The electronic device 300 may include a memory 311 and a processor 313. Those skilled in the art will understand that... Figure 2 The structure shown is for illustrative purposes only and does not limit the structure of the electronic device 300. For example, the electronic device 300 may also include components that are more... Figure 2 The more or fewer components shown, or having the same Figure 2 The different configurations shown.

[0047] The memory 311 and processor 313 described above are electrically connected to each other directly or indirectly to achieve data transmission or interaction. For example, these components can be electrically connected to each other through one or more communication buses or signal lines. The processor 313 described above is used to execute executable modules stored in the memory.

[0048] The memory 311 can be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), etc. The memory 311 stores programs, and the processor 313 executes these programs upon receiving execution instructions. The methods executed by the electronic device 300 as defined in any embodiment of this application can be applied to the processor 313, or implemented by the processor 313.

[0049] The aforementioned processor 313 may be an integrated circuit chip with signal processing capabilities. The processor 313 may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it may also be a digital signal processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor may be a microprocessor or any conventional processor.

[0050] Depending on the specific application scenario, the electronic device 300 may include more components. In one scenario, during molecular gas cell detection, it is necessary to view the relevant data obtained in real time, such as displaying the spectrum and changes in the full width at half maximum (FWHM). In this case, the electronic device 300 may also include a display unit to display the relevant data obtained during the molecular gas cell detection process. In another scenario, multiple molecular gas cells at different locations need to be detected. To facilitate understanding the source location of each set of data, the electronic device 300 may also include a positioning unit for positioning the electronic device 300.

[0051] in Figure 1 The electronic equipment in the detection system shown may include Figure 2 The components of the electronic device shown.

[0052] The electronic device 300 in this embodiment can be used to execute various steps in the various methods provided in the embodiments of this application. The implementation process of the molecular gas chamber leakage rate detection method is described in detail below through several embodiments.

[0053] Please see Figure 3 This is a flowchart of the molecular gas chamber leak rate detection method provided in the embodiments of this application. The molecular gas chamber leak rate detection method provided in the embodiments of this application can be applied to electronic devices, through which the electronic devices execute the steps in the molecular gas chamber leak rate detection method. The following will describe... Figure 3 The specific process shown will be explained in detail.

[0054] Step 410: Test the spectral data of the molecular gas cell to be tested.

[0055] Optionally, if spectral data needs to be tested, control commands can be sent to the transmitter via electronic equipment to control the transmitter to emit signals to the molecular gas cell; the receiver can then receive these signals. Optionally, the transmitter can also automatically send signals to the molecular gas cell, and the receiver can receive the signals output by the molecular gas cell.

[0056] In some applications, measurements can also be taken of the gas chamber of an atomic clock. This step allows for the testing of the spectral data of the atomic gas chamber.

[0057] For each test spectral data, multiple powers can be measured based on signals at multiple different frequencies. Based on the powers obtained at multiple different frequencies, the spectral data obtained from a single test can be obtained. For example, curve fitting can be performed based on the powers obtained at multiple different frequencies to represent the spectral data in the form of a curve.

[0058] For example, the frequency of the signal output by the transmitter can be controlled by an electronic device. The selection of multiple different frequencies can be based on the actual required number and magnitude of the different frequencies; this application embodiment is not limited to the selection of different frequencies.

[0059] Step 420: Calculate the full width at half maximum (FWHM) of the spectral data based on the spectral data.

[0060] Taking the obtained spectral data as a spectral curve as an example, we can first determine the value of the peak. Based on this peak value, we can determine the half-height (HHH) value. Then, we can find the position of the HHH value on the curve and determine the HHH width based on its position. For example, we can determine two points with HHH values ​​on both sides of the peak value, and the distance between these two points can be determined as the HHH width.

[0061] Optionally, the half-height in the half-width at half-maximum (HWHM) can represent the height of half the power peak in the spectral data. Two points at the HWHM can be determined on either side of the peak value, and the distance between these two HWHM points can be defined as the HWHM.

[0062] Step 430: Based on the full width at half maximum (FWHM) obtained at multiple times, determine the leakage rate of the molecular gas cell to be tested.

[0063] By obtaining the full width at half maximum (FWHM) over multiple time periods, the pattern of FWHM over time was determined. Research revealed that the leakage rate of the molecular gas cell affects the pattern of FWHM over time; therefore, the leakage rate of the molecular gas cell can be determined based on this pattern of FWHM over time.

[0064] Optionally, multiple sets of correlation data between the changes in half-width at half-maximum (HWHM) over time and the leakage rate of the molecular gas cell can be pre-calibrated. The leakage rate of the winning molecular gas cell can be determined by analyzing the determined HWHM changes over time.

[0065] By following the steps described above, the leakage rate of the molecular gas chamber can be tested without filling it with other gases, thus minimizing the impact on the molecular gas chamber.

[0066] In one embodiment, step 430 described above may include steps 431 to 432.

[0067] Step 431: Based on the half-width and height (WHM) obtained at multiple times, construct the first variation law of WHM over time.

[0068] Multiple time intervals can be determined based on the temporal patterns used when testing spectral data. For example, if the spectral data is tested every 10 hours, then the full width at half maximum (FWHM) obtained from multiple time intervals can include the FWHMs of multiple measured time intervals of 10 hours.

[0069] This first law of change can be linear or nonlinear.

[0070] Optionally, the full width at half maximum (FWHM) obtained at multiple time points can also be the FWHM of two time points. The first variation pattern can also be the difference between the FWHMs obtained at two time points, or the change in the FWHMs obtained at two time points. This change may be due to pressure changes within the molecular gas chamber, which are caused by a certain leakage rate within the molecular gas chamber.

[0071] Step 432: Based on the first variation law and the preset variation relationship, determine the leakage rate of the molecular gas cell to be tested.

[0072] The preset variation relationship represents the relationship between the rate of change of the half-width at half-maximum and the leakage rate of the molecular gas cell to be tested. The preset variation relationship is the value of the pre-calibrated value.

[0073] The preset variation relationship can be determined by analyzing the method of determining the half-width at half-maximum (WHM) of the molecular gas chamber, the relationship between the WHM of the molecular gas chamber and the pressure inside the molecular gas chamber, and the relationship between the pressure inside the molecular gas chamber and the leakage rate of the molecular gas chamber.

[0074] The following describes the process of determining the preset variation relationship using the frequency domain half-width at full maximum (FHW) with Lorentz as an example. The FHW of the molecular clock spectrum is related to the gas pressure of the molecular cell under certain conditions. and the volume mixing ratio of molecular gas cells Based on this relationship, a preset change relationship can be constructed. Optionally, such as... Figure 4 As shown, the method for determining the preset change relationship includes the following steps 510 to 530.

[0075] Step 510: Construct the first relationship between the gas pressure of the molecular gas cell to be tested and time.

[0076] When a certain leakage rate exists during a single encapsulation process, the gas pressure in the molecular gas chamber... It will increase over time, volume mixing ratio The relationship between air pressure decreasing over time and the change in air pressure over time can be expressed as:

[0077] ;

[0078] in, Indicates the standard atmospheric leakage rate of a single package; This indicates the volume of the gas cell containing the molecule being measured. It represents standard atmospheric pressure.

[0079] When the gas pressure in the molecular chamber is relatively low (e.g., (within), that is, much less than the standard atmosphere. air pressure The first relationship can be expressed as follows: (The text appears to be incomplete and contains several grammatical errors. A more accurate translation would require the full context.)

[0080] .

[0081] Volumetric mixing ratio It changes inversely with time, which can be expressed as:

[0082] .

[0083] Step 520: Construct a second relationship between the half-width at half-maximum (WHM) of the molecular cell to be tested and time.

[0084] In a molecular clock, the full width at half maximum (FWHM) of the spectrum can be determined by the following two equations:

[0085] ;

[0086] ;

[0087] in, The full width at half maximum (FWHM) represents the wavenumber in the Lorentz spectral line of the molecular clock. and The full width at half maximum (FWHM) represents the Lorentz wavenumbers of air impurities and carbonyl sulfide molecules, respectively. This represents the full width at half maximum (FWHM) in the frequency domain. The wavenumber unit here is... .

[0088] The half-width at half-maximum (FWHM) of the frequency domain is equal to the wavenumber FWHM and the speed of light. The product of . To unify to the International System of Units (SI), in the example above, the formula for calculating the full width at half maximum (FWHM) in the frequency domain is multiplied by 100.

[0089] At this point, the full width at half maximum (FWHM) of the Lorentz in the frequency domain is expressed as a function of time, and the second variation relationship is as follows:

[0090] .

[0091] Step 530: Based on the first change relationship and the second change relationship, determine the preset change relationship.

[0092] The rate of change of the Lorentz's full width at half maximum (FWHM) in the frequency domain with time, which is the aforementioned pre-defined relationship, can be expressed as:

[0093] ;

[0094] in, This indicates the leakage rate after the molecular gas cell to be tested is encapsulated; This indicates the volume of the molecular gas chamber to be tested; Represents the speed of light; Indicates standard atmospheric pressure; Indicates OCS gas in The half-width and half-height of the Lorentz wavenumber of the impurity air during nearby absorption; This represents the rate of change of half-width over time.

[0095] As can be seen from the above formula, the rate of change of the full width at half maximum (FWHM) in the frequency domain over time is a constant related to the leakage rate of the molecular gas cell. Based on this, the leakage rate of the encapsulated molecular gas cell can be calculated based on the change of the FWHM over time in the frequency domain of the molecular clock spectrum obtained from testing.

[0096] In this embodiment, for the detection requirements of the same molecular gas chamber, the preset change relationship can be determined by using the above-mentioned steps 510 to 530 before performing the detection in steps 410 to 430. After the preset change relationship is determined, the preset change relationship can be used for the detection of the molecular gas chamber, and it is not necessary to repeat the above steps to determine the preset change relationship every time the molecular gas chamber is tested.

[0097] In this embodiment, the spectral data may include spectral variation trends. Step 410 described above may include steps 411 and 412.

[0098] Step 411: Test the molecular gas cell under test and determine the power at multiple different frequencies.

[0099] These multiple frequencies can also be pre-set frequencies. Based on different user habits or the needs of actual scenarios, these different frequencies can be set as needed.

[0100] Step 412: Based on the power at multiple different frequencies, perform curve fitting to obtain the spectral variation trend of the molecular gas cell to be tested.

[0101] The trend of this spectral change can be represented by a continuous curve.

[0102] For example, step 420 described above may include steps 421 and 422.

[0103] Step 421: Determine the first and second positions at the half-peak in the spectral variation trend.

[0104] The first position and the second position are located on both sides of the wave crest.

[0105] The spectral trend curve represents the relationship between frequency and power, where the horizontal axis represents frequency and the vertical axis represents power. The first and second positions can be locations on the curve where the power is half of the peak value, but at different frequencies.

[0106] Step 422: Based on the first and second positions, obtain the full width at half maximum (FWHM) of the spectral data.

[0107] For example, the half-width at half-maximum (WHM) of the spectral data can be determined based on the distance between the first and second positions on the horizontal axis.

[0108] To determine the variation of the full width at half maximum (FWHM) over time, multiple sets of spectral data can be obtained. Each set of spectral data can be used to determine the FWHM at a given time, and multiple sets of spectral data can yield the FWHM at multiple times.

[0109] Step 410 above may include: testing the spectral data of the molecular gas cell to be tested according to a set time pattern.

[0110] The set time pattern includes any one of the following: a specified time node, every equal time interval, or every set time gradient.

[0111] The specified time nodes, time intervals, and time gradients can all be set based on actual needs. For example, if a denser number of half-widths and heights are required, the selected time nodes can be more densely packed, or the time intervals can be shorter, or the time intervals determined in the time gradient can also be shorter.

[0112] Optionally, the aforementioned time setting pattern can be configured on the electronic device. After configuration, the electronic device can control the transmitter's transmission according to the configured time setting pattern. Optionally, the electronic device can also be configured with a default time setting pattern before entering the detection phase. Optionally, the time setting pattern can also be adjustable. When it is necessary to adjust the time setting pattern, the electronic device can display an adjustment window to receive the user's input of the desired time setting pattern.

[0113] The following example uses data to determine the leakage rate and lifetime of a molecular clock. In this example, if the volume of the molecular gas chamber of the molecular clock is... Atmospheric pressure speed of light When the temperature control system is operating at room temperature, the initial half-width ratio is... , The height and width of the second half increased to The leakage rate of the current encapsulation of the molecular gas cell can then be calculated based on the above formula. Furthermore, if the pressure increase of the molecular gas chamber is preset... If the molecular gas cell fails, its lifespan can be determined as follows: ,Right now This can represent the effective time of the molecular cell of the molecular clock, that is, the lifetime of the molecular cell of the molecular clock, i.e., the lifetime of the molecular cell in the above example is 133 days.

[0114] In the method provided in this application embodiment, since it is not necessary to fill the molecular gas chamber with other gases, such as helium, there is no residual test gas in the molecular gas chamber, which better protects the purity of the gas in the molecular gas chamber. Therefore, the detection of the molecular gas chamber leak rate will not affect the performance of the molecular clock. Furthermore, the leak rate detection achieved by the detection method provided in this application embodiment achieves higher measurement accuracy. Further, this application studies and analyzes the correlation between the half-width at half maximum (HWHM), the pressure of the molecular gas chamber, and their changes over time. It is understood that the change in HWHM over time is related to the gas pressure, i.e., the volume mixing ratio. The change in volume mixing ratio and gas pressure is related to the leak rate of the encapsulated molecular gas chamber. Based on comprehensive analysis, it is understood that the relationship between the measured HWHM change and time can be used to calculate the leak rate of the encapsulated molecular gas chamber.

[0115] Furthermore, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the molecular gas chamber leak rate detection method described in the above method embodiments.

[0116] The computer program product of the molecular gas cell leak rate detection method provided in this application includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the steps of the molecular gas cell leak rate detection method described in the above method embodiments. For details, please refer to the above method embodiments, which will not be repeated here.

[0117] In the several embodiments provided in this application, it should be understood that the disclosed methods can also be implemented in other ways. The method embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of methods and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0118] In addition, the method steps in the various embodiments of this application can be integrated together to form an independent part for execution, or each method step can be executed by a separate module, or two or more steps can be formed into an independent part for execution.

[0119] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks. It should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0120] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application. It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0121] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for detecting the leakage rate of a molecular gas cell, characterized in that, include: A signal is transmitted to the molecular gas cell under test by a transmitter, and the signal output by the molecular gas cell under test is received by a receiver. Based on the signal output from the molecular gas cell, the spectral data of the molecular gas cell under test are tested. Calculate the half-width at half-maximum (WHM) of the spectral data based on the spectral data; Based on the half-width at half-maximum (WHM) obtained at multiple times, a first variation law of the WHM over time is constructed. Based on the first variation pattern and the preset variation relationship, the leakage rate of the molecular gas cell to be tested is determined; Based on the leakage rate of the molecular gas chamber, the pressure change inside the molecular gas chamber to be tested is determined; The lifetime of the molecular gas chamber is obtained based on the pressure change. The method for determining the preset change relationship includes: constructing a first change relationship of the gas pressure of the molecular gas cell to be tested changing with time; constructing a second change relationship of the half-width at half-maximum (WHM) of the molecular gas cell to be tested changing with time; and determining the preset change relationship based on the first change relationship and the second change relationship. The preset change relationship is expressed by the following formula: ； in, This indicates the leakage rate after the molecular gas cell to be tested is encapsulated; This indicates the volume of the molecular gas chamber to be tested; Represents the speed of light; Indicates standard atmospheric pressure; Indicates OCS gas in The half-width and half-height of the Lorentz wavenumber of the impurity air during nearby absorption; This represents the rate of change of half-width over time.

2. The method according to claim 1, characterized in that, The spectral data includes spectral variation trends; The spectral data of the molecular gas cell to be tested include: The power of the molecular gas cell under test was determined at multiple different frequencies. Based on the power at multiple different frequencies, curve fitting is performed to obtain the spectral variation trend of the molecular gas cell under test.

3. The method according to claim 2, characterized in that, The step of calculating the full width at half maximum (FWHM) of the spectral data based on the spectral data includes: The first and second positions at the half-peak were determined in the spectral variation trend; Based on the first position and the second position, the full width at half maximum (FWHM) of the spectral data is obtained.

4. The method according to claim 1, characterized in that, The spectral data of the molecular gas cell to be tested include: The spectral data of the molecular gas cell to be tested are tested according to a set time pattern, wherein the set time pattern includes any one of the following: a specified time node, every equal time interval, and every set time gradient.

5. An electronic device, characterized in that, include: The processor and memory, wherein the memory stores machine-readable instructions executable by the processor, wherein when the electronic device is running, the machine-readable instructions are executed by the processor to perform the steps of the method as described in any one of claims 1 to 4.

6. A detection system, characterized in that, include: Transmitter, receiver, spectrum analyzer, and processing unit; The transmitter is used to send a signal to the molecular gas cell to be tested; The receiver is used to receive the signal output by the molecular gas cell to be tested; The spectrum analyzer is used to construct the spectral data of the molecular gas cell under test based on the signal output by the receiver; The processing unit is used to perform the steps of the method as described in any one of claims 1 to 4 to determine the leakage rate of the molecular gas cell to be tested.

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