Self-correcting measurement method for quantum mutual inductance

Abstract

The application relates to the technical field of electromagnetic field measurement, and particularly relates to a quantum mutual inductor self-correcting measurement method. The method performs frequency sweeping excitation on a quantum mutual inductor probe, collects corresponding light response signals of the quantum mutual inductor probe, obtains resonance spectral line data, performs feature recognition on the resonance spectral line data, obtains spectral line splitting characteristic data, determines magnetic field projection data based on the spectral line splitting characteristic data, performs direction determination processing on the magnetic field projection data based on a preset disturbance magnetic field, obtains magnetic field projection data with a direction, performs attitude calculation based on the magnetic field projection data with the direction and a preset axial spatial relationship, obtains probe attitude deviation data, generates compensation control data based on the probe attitude deviation data, adjusts the quantum mutual inductor probe and / or a compensation magnetic field according to the compensation control data, and determines a measurement state based on adjusted resonance spectral line data.

Description

Technical Field

[0001] This application relates to the field of electromagnetic field measurement technology, and in particular to a self-correcting measurement method for quantum transformers. Background Technology

[0002] With the development of power systems, precision electronic equipment, and new energy equipment, higher requirements are placed on the accuracy, stability, and anti-interference capabilities of current and magnetic field measurements. Traditional electromagnetic transformers are easily affected by factors such as temperature drift, mechanical stress, installation errors, and external stray magnetic fields in complex electromagnetic environments, leading to measurement deviations during long-term operation and making it difficult to meet the application requirements of high-precision, continuous measurement scenarios. Quantum transformers utilize quantum magnetic sensitive units to respond to external magnetic fields and can obtain resonance spectral data through frequency sweep excitation and optical response signal acquisition, thereby reflecting the measured magnetic field information based on the changes in the resonance spectral lines. This type of measurement method has the characteristics of high sensitivity and miniaturization, and has application potential in the fields of current and magnetic field measurement. However, during actual installation, transportation, and operation, it is difficult to maintain the preset alignment between the quantum transformer probe and the measured magnetic field direction for a long time. The probe posture is prone to shift due to mechanical vibration, thermal drift, or structural stress release. When the probe posture shifts, the position and splitting state of the troughs in the resonance spectral lines will change accordingly, resulting in directional uncertainty or posture correlation errors in the magnetic field projection information obtained based on the spectral line data. Existing technologies typically rely on manual calibration, structural reinforcement, or single-frequency tracking to maintain the measurement state. This makes it difficult to determine the magnetic field projection direction in a timely manner based on spectral line splitting characteristics, and also hinders the calculation of probe attitude deviations by combining the spatial relationship of the sensitive axis. Consequently, the stability of quantum transformer measurements is poor. Therefore, improving the stability of quantum transformer measurements has become an urgent technical problem to be solved. Summary of the Invention

[0003] The main objective of this application is to provide a self-correcting measurement method for quantum transformers, which aims to solve the technical problem of how to improve the stability of quantum transformer measurements.

[0004] To achieve the above objectives, this application provides a self-correcting measurement method for quantum mutual inductors, the method comprising the following steps: The quantum transformer probe is subjected to frequency sweep excitation, and the corresponding optical response signal of the quantum transformer probe is collected to obtain resonance spectral line data; Feature identification is performed on the resonance spectral line data to obtain spectral line splitting characterization data, and magnetic field projection data is determined based on the spectral line splitting characterization data. The magnetic field projection data is processed to determine the direction based on a preset perturbation magnetic field, resulting in magnetic field projection data with direction. The attitude calculation is performed based on the directional magnetic field projection data and the preset axial spatial relationship to obtain the probe attitude deviation data. Compensation control data is generated based on the probe attitude deviation data, and the quantum transformer probe and / or compensation magnetic field are adjusted according to the compensation control data to determine the measurement state based on the adjusted resonance spectral data.

[0005] In one embodiment, the step of performing frequency sweep excitation on the quantum transformer probe and acquiring the corresponding optical response signal of the quantum transformer probe to obtain resonance spectral line data includes: Based on preset frequency sweep control parameters, the microwave excitation unit is controlled to perform frequency sweep excitation on the quantum magnetic sensitive unit in the quantum transformer probe, and the optical excitation unit is simultaneously controlled to perform optical excitation on the quantum magnetic sensitive unit. The photoresponse signal generated by the quantum magnetic sensitive unit under the combined action of the frequency sweep excitation and the optical excitation is collected, and the photoresponse signal is subjected to photoelectric conversion and signal acquisition processing to obtain frequency-correlated response data; Based on the frequency-correlation response data, the optical response change relationship corresponding to different excitation frequencies is determined, and the resonance spectral data corresponding to the quantum transformer probe is generated according to the optical response change relationship.

[0006] In one embodiment, the step of performing feature identification on the resonance spectral line data to obtain spectral line splitting characterization data, and determining magnetic field projection data based on the spectral line splitting characterization data, includes: The resonance spectral line data is subjected to valley retrieval and position calibration to obtain candidate valley data corresponding to the resonance spectral line data; Based on the preset sensitive axis correspondence, the candidate valley data are subjected to group matching and interval analysis to obtain spectral line splitting characterization data that characterizes the spectral line splitting state of each sensitive axis. Based on the spectral line splitting characterization data and the preset magnetic field projection conversion relationship, the projection components of the measured magnetic field on each sensitive axis are determined, and the magnetic field projection data is obtained.

[0007] In one embodiment, the step of performing direction determination processing on the magnetic field projection data based on a preset perturbed magnetic field to obtain directional magnetic field projection data includes: Based on preset perturbation control parameters, the compensation magnetic field generating unit is controlled to apply a preset perturbation magnetic field to the quantum transformer probe, and the corresponding perturbation-induced resonance spectral data is collected after the preset perturbation magnetic field is applied. Feature identification is performed on the perturbed resonance spectral data to obtain perturbed spectral line splitting characterization data, and the perturbed spectral line splitting characterization data is compared with the spectral line splitting characterization data before the application of the preset perturbed magnetic field to obtain splitting change characterization data. Based on the splitting change characterization data, the directional attributes corresponding to each projection component in the magnetic field projection data are determined, and the magnetic field projection data is marked according to the directional attributes to obtain directional magnetic field projection data.

[0008] In one embodiment, the step of calculating the probe attitude deviation data based on the directional magnetic field projection data and the preset axial spatial relationship includes: Based on the preset axial spatial relationship, each projection component in the directional magnetic field projection data is associated and matched with the corresponding sensitive axis to obtain axial projection constraint data. Based on the axial projection constraint data, vector reconstruction and orientation analysis are performed to obtain the current attitude characterization data corresponding to the quantum transformer probe. The deviation between the current attitude characterization data and the preset target attitude characterization data is analyzed to determine the deviation state of the quantum transformer probe relative to the target working attitude, and the probe attitude deviation data is obtained.

[0009] In one embodiment, the step of generating compensation control data based on the probe attitude deviation data, and adjusting the quantum transformer probe and / or compensation magnetic field according to the compensation control data to determine the measurement state based on the adjusted resonance spectral line data includes: Based on the probe attitude deviation data, the deviation type is analyzed to determine the compensation method corresponding to the probe attitude deviation data, and compensation control data is generated according to the compensation method. Based on the compensation control data, the mechanical attitude adjustment mechanism is controlled to adjust the attitude of the quantum transformer probe, and / or the compensation magnetic field generating unit is controlled to generate a compensation magnetic field to obtain the adjusted quantum transformer probe. The adjusted quantum transformer probe is subjected to frequency sweep verification to obtain the adjusted resonance spectral data, and the measurement state of the quantum transformer is determined based on the adjusted resonance spectral data.

[0010] Furthermore, to achieve the above objectives, this application also proposes a self-correcting measurement device for a quantum transformer, the self-correcting measurement device for a quantum transformer comprising: The frequency sweep excitation module is used to perform frequency sweep excitation on the quantum transformer probe and collect the corresponding optical response signal of the quantum transformer probe to obtain resonance spectral data. The feature recognition module is used to perform feature recognition on the resonance spectral line data to obtain spectral line splitting characterization data, and to determine magnetic field projection data based on the spectral line splitting characterization data. The direction determination module is used to perform direction determination processing on the magnetic field projection data based on a preset perturbed magnetic field to obtain magnetic field projection data with direction. The attitude calculation module is used to perform attitude calculation based on the directional magnetic field projection data and the preset axial spatial relationship to obtain probe attitude deviation data. The target module is used to generate compensation control data based on the probe attitude deviation data, and adjust the quantum transformer probe and / or compensation magnetic field according to the compensation control data, so as to determine the measurement state based on the adjusted resonance spectral line data.

[0011] Furthermore, to achieve the above objectives, this application also proposes a quantum transformer self-correction measurement device, the device comprising: a memory, a processor, and a quantum transformer self-correction measurement program stored in the memory and executable on the processor, the quantum transformer self-correction measurement program being configured to implement the steps of the quantum transformer self-correction measurement method as described above.

[0012] In addition, to achieve the above objectives, this application also proposes a storage medium storing a quantum transformer self-correction measurement program, which, when executed by a processor, implements the steps of the quantum transformer self-correction measurement method as described above.

[0013] In addition, to achieve the above objectives, this application also proposes a computer program product comprising a computer program that, when executed by a processor, implements the steps of the quantum mutual inductor self-correction measurement method as described above.

[0014] This application obtains resonance spectral line data by sweeping the frequency of a quantum transformer probe and acquiring the corresponding optical response signal. Feature identification is performed on the resonance spectral line data to obtain spectral line splitting characterization data, and magnetic field projection data is determined based on this data. The magnetic field projection data is then processed for direction determination based on a preset perturbation magnetic field to obtain directional magnetic field projection data. Attitude calculation is performed based on the directional magnetic field projection data and a preset axial spatial relationship to obtain probe attitude deviation data. Compensation control data is generated based on the probe attitude deviation data, and the quantum transformer probe and / or compensation magnetic field are adjusted according to this data to determine the measurement state based on the adjusted resonance spectral line data. This application obtains resonance spectral data reflecting the current response state of a quantum transformer probe by sweeping the frequency and collecting the optical response signal. Then, by performing feature recognition on the resonance spectral data, the spectral splitting state is converted into magnetic field projection data. Furthermore, a preset perturbation magnetic field is used to determine the direction of the magnetic field projection data, resulting in directional magnetic field projection data. This data is then combined with a preset axial spatial relationship to calculate the probe attitude deviation data, establishing a correlation between spectral changes, magnetic field projection, and probe attitude deviation. Based on this, compensation control data is generated according to the probe attitude deviation data, and the quantum transformer probe and / or compensation magnetic field are adjusted. Finally, the measurement state is determined based on the adjusted resonance spectral data, reducing the impact of probe attitude deviation on the measurement state and thus improving the stability of quantum transformer measurements. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating the first embodiment of the self-correcting measurement method for quantum mutual inductors in this application; Figure 2 This is a schematic diagram of a sub-process in the second embodiment of the self-correction measurement method for quantum mutual inductors of this application; Figure 3 This is a schematic diagram of a sub-process in the third embodiment of the self-correction measurement method for quantum mutual inductors of this application; Figure 4 This is a comparison diagram of the splitting and merging of NV color center full-frequency swept ODMR spectral lines in one embodiment of the self-correction measurement method for quantum mutual inductors in this application; Figure 5 This is a schematic diagram of the module structure of the self-correcting measurement device for quantum mutual inductors according to an embodiment of this application; Figure 6 This is a schematic diagram of the device structure of the hardware operating environment involved in the self-correction measurement method of the quantum mutual inductor in the embodiments of this application.

[0016] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0017] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of this application.

[0018] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0019] It should be noted that with the development of power systems, precision electronic equipment, and new energy equipment, higher requirements are placed on the accuracy, stability, and anti-interference capabilities of current and magnetic field measurements. Traditional electromagnetic transformers are easily affected by factors such as temperature drift, mechanical stress, installation errors, and external stray magnetic fields in complex electromagnetic environments, leading to measurement deviations during long-term operation and making it difficult to meet the application requirements of high-precision, continuous measurement scenarios. Quantum transformers utilize quantum magnetic sensitive units to respond to external magnetic fields and can obtain resonance spectral data through frequency sweep excitation and optical response signal acquisition, thereby reflecting the measured magnetic field information based on the changes in the resonance spectral lines. This type of measurement method has the characteristics of high sensitivity and miniaturization, and has application potential in the fields of current and magnetic field measurement. However, in actual installation, transportation, and operation, it is difficult to maintain the preset alignment between the quantum transformer probe and the measured magnetic field direction for a long time. The probe posture is prone to shift due to mechanical vibration, thermal drift, or structural stress release. When the probe posture shifts, the position and splitting state of the troughs in the resonance spectral lines will change accordingly, resulting in directional uncertainty or posture correlation errors in the magnetic field projection information obtained based on the spectral line data. Existing technologies typically rely on manual calibration, structural reinforcement, or single-frequency tracking to maintain the measurement state. This makes it difficult to determine the magnetic field projection direction in a timely manner based on spectral line splitting characteristics, and also hinders the calculation of probe attitude deviations by combining the spatial relationship of the sensitive axis. Consequently, the stability of quantum transformer measurements is poor. Therefore, improving the stability of quantum transformer measurements has become an urgent technical problem to be solved.

[0020] The main solution of this application is as follows: The quantum transformer probe is subjected to frequency sweep excitation, and the corresponding optical response signal of the quantum transformer probe is acquired to obtain resonance spectral line data; the resonance spectral line data is subjected to feature recognition to obtain spectral line splitting characterization data, and magnetic field projection data is determined based on the spectral line splitting characterization data; the magnetic field projection data is subjected to direction determination processing based on a preset perturbation magnetic field to obtain directional magnetic field projection data; the attitude is calculated based on the directional magnetic field projection data and a preset axial spatial relationship to obtain probe attitude deviation data; compensation control data is generated based on the probe attitude deviation data, and the quantum transformer probe and / or compensation magnetic field are adjusted according to the compensation control data to determine the measurement state based on the adjusted resonance spectral line data.

[0021] This application obtains resonance spectral data reflecting the current response state of a quantum transformer probe by sweeping the frequency and collecting the optical response signal. Then, by performing feature recognition on the resonance spectral data, the spectral splitting state is converted into magnetic field projection data. Furthermore, a preset perturbation magnetic field is used to determine the direction of the magnetic field projection data, resulting in directional magnetic field projection data. This data is then combined with a preset axial spatial relationship to calculate the probe attitude deviation data, establishing a correlation between spectral changes, magnetic field projection, and probe attitude deviation. Based on this, compensation control data is generated according to the probe attitude deviation data, and the quantum transformer probe and / or compensation magnetic field are adjusted. Finally, the measurement state is determined based on the adjusted resonance spectral data, reducing the impact of probe attitude deviation on the measurement state and thus improving the stability of quantum transformer measurements.

[0022] It should be noted that the execution subject of the method in this embodiment can be a computing service device with data processing, network communication, and program execution functions, or it can be the aforementioned quantum transformer self-calibration measurement device with the same or similar functions. This embodiment and the following embodiments will be described using a quantum transformer self-calibration measurement device as an example.

[0023] Based on this, a first embodiment of the self-correcting measurement method for quantum mutual inductors of this application is proposed. Please refer to [the relevant documentation]. Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the self-correcting measurement method for quantum mutual inductors in this application.

[0024] In this embodiment, the method includes the following steps: S1: Perform frequency sweep excitation on the quantum transformer probe and collect the corresponding optical response signal of the quantum transformer probe to obtain resonance spectral data; S2: Perform feature recognition on the resonance spectral line data to obtain spectral line splitting characterization data, and determine magnetic field projection data based on the spectral line splitting characterization data; S3: Based on a preset perturbation magnetic field, the magnetic field projection data is processed to determine the direction, thereby obtaining magnetic field projection data with direction. It should be noted that: a quantum mutual inductor probe refers to a measurement probe that uses a quantum magnetic sensitive unit to sense an external magnetic field and output an optical response; frequency sweep excitation refers to the process of applying an excitation signal to a quantum magnetic sensitive unit according to a set frequency range or frequency sequence; optical response signal refers to the fluorescence intensity or other detectable optical change signal generated by the quantum magnetic sensitive unit under excitation; resonance spectral line data refers to spectral line data formed by the change of optical response signal with excitation frequency; feature recognition refers to the processing of extracting features such as valley position, valley spacing, and splitting state from resonance spectral line data; spectral line splitting characterization data refers to data used to describe the degree of valley splitting and corresponding relationships in resonance spectral lines; magnetic field projection data refers to the projection information of the external magnetic field on different sensitive axes determined based on the spectral line splitting characterization data; preset perturbation magnetic field refers to a small additional magnetic field with a known direction applied to determine the direction of magnetic field projection; direction determination processing refers to the processing of determining the direction attribute of magnetic field projection based on the change of spectral line splitting before and after perturbation; and directional magnetic field projection data refers to magnetic field projection data that simultaneously includes projection size and direction attributes.

[0025] Specifically, firstly, the quantum transformer probe is controlled to enter the measurement and acquisition state. The quantum magnetic sensitive unit in the probe is excited by the microwave excitation unit according to a preset frequency sweep method, and in conjunction with the optical excitation unit, the quantum magnetic sensitive unit generates a light response related to the external magnetic field. Subsequently, the light response signal is acquired and processed by the photoelectric detection unit and signal acquisition unit, and the changes in light response at different excitation frequencies are correlated and recorded to form resonance spectral data that reflects the current magnetic field response state of the probe.

[0026] After obtaining the resonance spectral line data, the data undergoes valley retrieval, position calibration, and splitting state identification to determine the correspondence between valleys and the splitting changes, thus obtaining spectral line splitting characterization data. Then, based on the sensitive axis relationship corresponding to the quantum magnetic sensitive unit, the spectral line splitting characterization data is converted into magnetic field projection data of the external magnetic field on different sensitive axes. Since this magnetic field projection data may only characterize the projection size and not directly determine the direction, a preset perturbation magnetic field is further applied to the quantum transformer probe, and the spectral line changes after the perturbation are re-acquired. The spectral line splitting characterization data before and after the perturbation are compared, and the directional attributes of each magnetic field projection data are determined based on the changing trends of valley spacing or splitting state, thereby obtaining directional magnetic field projection data.

[0027] Resonance spectral line data is obtained through frequency sweep excitation and optical response acquisition, expanding the measurement basis of the quantum transformer from a single-point response to a global spectral line response. By identifying the features of the resonance spectral line data and determining the characterization data of spectral line splitting, the spectral line changes after the probe is subjected to a magnetic field can be converted into magnetic field projection data. Furthermore, the direction of the magnetic field projection data is determined by using a preset perturbation magnetic field, correcting the projection information that originally had directional uncertainty into directional magnetic field projection data. Thus, the above steps establish a correspondence between "resonance spectral line changes—spectral line splitting state—magnitude and direction of magnetic field projection," providing a more complete data foundation for subsequent attitude calculation and compensation adjustment, thereby helping to reduce the impact of spectral line splitting and projection direction uncertainty on the measurement stability of the quantum transformer.

[0028] S4: Based on the directional magnetic field projection data and the preset axial spatial relationship, the attitude is calculated to obtain the probe attitude deviation data; S5: Generate compensation control data based on the probe attitude deviation data, and adjust the quantum transformer probe and / or compensation magnetic field according to the compensation control data to determine the measurement state based on the adjusted resonance spectral data.

[0029] It should be noted that the preset axial spatial relationship refers to the pre-determined geometric correspondence of multiple sensitive axes in the quantum magnetic sensing unit in space, used to associate magnetic field projections in different directions with a unified spatial coordinate system; attitude calculation refers to the process of determining the current deflection state of the quantum transformer probe based on the directional magnetic field projection data and the preset axial spatial relationship; probe attitude deviation data refers to the data used to characterize the degree and direction of deviation of the current attitude of the quantum transformer probe relative to the target working attitude; compensation control data refers to the data generated based on the probe attitude deviation data to drive the adjustment mechanism or compensation magnetic field generating unit to perform corrections; compensation magnetic field refers to the additional magnetic field applied to correct the probe attitude deviation or magnetic field direction deviation; adjusted resonance spectral data refers to the resonance spectral data re-acquired after adjusting the quantum transformer probe and / or compensation magnetic field; measurement state refers to the state of the quantum transformer, determined based on the adjusted resonance spectral data, as to whether it meets the requirements for subsequent measurements.

[0030] Specifically, after obtaining the directional magnetic field projection data, the directional projection data on different sensitive axes are first matched according to the preset axial spatial relationship, so that each projection component can participate in unified spatial analysis according to its axial relationship. Subsequently, the directional projection components are comprehensively processed to determine the spatial representation of the current magnetic field direction or probe attitude, and this representation is compared with the preset target working attitude to determine the probe's current deviation from the target working attitude, thereby obtaining probe attitude deviation data.

[0031] After obtaining the probe attitude deviation data, compensation control data is generated based on the magnitude, direction, or type of the deviation, and then sent to the corresponding execution object. When the deviation needs to be corrected by the probe position or angle, the quantum transformer probe's attitude can be adjusted according to the compensation control data; when the deviation needs to be corrected by an external magnetic field, a compensation magnetic field can be generated according to the compensation control data to bring the probe's response state closer to the target operating state. After the adjustment is completed, the quantum transformer probe's spectrum is acquired again to obtain the adjusted resonance spectrum data, and the current measurement state of the quantum transformer is determined based on the adjusted resonance spectrum data.

[0032] By combining directional magnetic field projection data with a preset axial spatial relationship for attitude calculation, projection information dispersed along different sensitive axes can be converted into probe attitude deviation data, allowing the probe's deviation from the target working attitude to be quantitatively characterized. Furthermore, compensation control data is generated based on the probe attitude deviation data, and the quantum transformer probe and / or compensation magnetic field are adjusted accordingly, enabling the attitude deviation to directly participate in subsequent correction processes. Finally, the measurement state is determined based on the adjusted resonance spectral line data, establishing the measurement state on the basis of the compensated and adjusted spectral line response. This reduces the impact of probe attitude deviation on measurement state judgment, thereby improving the stability of quantum transformer measurements.

[0033] This embodiment obtains resonance spectral line data by performing frequency sweep excitation on the quantum transformer probe and acquiring the corresponding optical response signal of the quantum transformer probe; it then performs feature recognition on the resonance spectral line data to obtain spectral line splitting characterization data, and determines the magnetic field projection data based on the spectral line splitting characterization data; it performs direction determination processing on the magnetic field projection data based on a preset perturbation magnetic field to obtain directional magnetic field projection data; it performs attitude calculation based on the directional magnetic field projection data and a preset axial spatial relationship to obtain probe attitude deviation data; it generates compensation control data based on the probe attitude deviation data, and adjusts the quantum transformer probe and / or compensation magnetic field according to the compensation control data, so as to determine the measurement state based on the adjusted resonance spectral line data. This embodiment obtains resonance spectral data reflecting the current response state of the quantum transformer probe by sweeping the frequency and collecting the optical response signal. Then, by performing feature recognition on the resonance spectral data, the spectral splitting state is converted into magnetic field projection data. Furthermore, the direction of the magnetic field projection data is determined by using a preset perturbation magnetic field, resulting in directional magnetic field projection data. Combined with a preset axial spatial relationship, the probe attitude deviation data is calculated, establishing a correlation between spectral changes, magnetic field projection, and probe attitude deviation. Based on this, compensation control data is generated according to the probe attitude deviation data, and the quantum transformer probe and / or compensation magnetic field are adjusted. Finally, the measurement state is determined based on the adjusted resonance spectral data, reducing the impact of probe attitude deviation on the measurement state and thus improving the stability of quantum transformer measurements.

[0034] Based on the first embodiment described above, a second embodiment of the self-correcting measurement method for quantum mutual inductors of this application is proposed. Please refer to... Figure 2 , Figure 2 This is a schematic diagram of a sub-process in the second embodiment of the self-correction measurement method for quantum mutual inductors of this application.

[0035] like Figure 2 As shown, in this embodiment, step S1 includes: S11: Based on preset frequency sweep control parameters, control the microwave excitation unit to perform frequency sweep excitation on the quantum magnetic sensitive unit in the quantum transformer probe, and simultaneously control the optical excitation unit to perform optical excitation on the quantum magnetic sensitive unit; S12: Collect the photoresponse signal generated by the quantum magnetic sensitive unit under the combined action of the frequency sweep excitation and the optical excitation, and perform photoelectric conversion and signal acquisition processing on the photoresponse signal to obtain frequency-correlated response data; S13: Based on the frequency-correlation response data, determine the optical response change relationship corresponding to different excitation frequencies, and generate the resonance spectral data corresponding to the quantum transformer probe according to the optical response change relationship.

[0036] It should be noted that preset frequency sweep control parameters refer to the control conditions used to limit the frequency sweep excitation process, such as the frequency sweep range, frequency sweep step, frequency sweep sequence, or acquisition synchronization conditions; the microwave excitation unit refers to the functional unit used to apply microwave excitation signals to the quantum magnetic sensitive unit in the quantum transformer probe; the quantum magnetic sensitive unit refers to the core sensing unit in the quantum transformer probe that is sensitive to external magnetic fields and can generate a detectable optical response; the optical excitation unit refers to the functional unit used to provide optical excitation to the quantum magnetic sensitive unit, causing it to generate an optical response; photoelectric conversion refers to the process of converting the acquired optical signal into an electrical signal; signal acquisition and processing refers to the process of receiving, amplifying, synchronously sampling, or recording the converted electrical signal; frequency-correlated response data refers to the data formed by associating different microwave excitation frequencies with the corresponding optical response intensity or optical response change results; the optical response change relationship refers to the corresponding relationship formed by the optical response signal changing with the microwave excitation frequency.

[0037] Specifically, after the quantum transformer enters the measurement and acquisition phase, the control unit generates a frequency sweep control command based on preset frequency sweep control parameters and sends this command to the microwave excitation unit. This causes the microwave excitation unit to perform frequency sweep excitation on the quantum magnetic sensitive unit in the quantum transformer probe according to a set frequency variation pattern. Simultaneously, the control optical excitation unit provides optical excitation to the quantum magnetic sensitive unit, enabling the unit to generate a light response signal related to the current magnetic field state under the combined action of microwave and optical excitation. This provides the initial response basis for subsequent spectral line data acquisition.

[0038] Subsequently, the optical response signal output by the quantum magnetic sensitive unit is received by a photodetector or corresponding acquisition component, and the optical response signal is converted into an electrical signal that is easy to process through photoelectric conversion. Then, through signal acquisition and processing, the electrical signal is synchronously recorded with the corresponding microwave excitation frequency to obtain frequency-correlated response data. On this basis, the frequency-correlated response data is organized and analyzed to determine the changes in the optical response signal under different excitation frequencies, and the resonance spectral line data corresponding to the quantum mutual inductor probe is generated according to the correspondence between frequency and optical response.

[0039] By controlling the microwave excitation unit and the photoexcitation unit to work together through preset frequency sweep control parameters, the quantum magnetic sensitive unit can generate an acquireable optical response signal at continuously or segmentedly varying excitation frequencies. Through photoelectric conversion and signal acquisition processing, the optical response signal is converted into frequency-correlated response data corresponding to the excitation frequency, so that the optical response changes can be stably recorded. Furthermore, the optical response change relationship is determined based on the frequency-correlated response data, and resonance spectral line data is generated, so that subsequent steps can perform feature recognition and splitting analysis based on the complete spectral line response, thereby providing a reliable data foundation for magnetic field projection determination, direction determination, and subsequent self-correction measurements.

[0040] Based on the first embodiment described above, in this embodiment, step S2 includes: S21: Perform valley retrieval and position calibration on the resonance spectral line data to obtain candidate valley data corresponding to the resonance spectral line data; S22: Based on the preset sensitive axis correspondence, the candidate valley data are subjected to group matching and interval analysis to obtain spectral line splitting characterization data that characterizes the spectral line splitting state of each sensitive axis. S23: Based on the spectral line splitting characterization data and the preset magnetic field projection conversion relationship, determine the projection components of the measured magnetic field on each sensitive axis, and obtain the magnetic field projection data.

[0041] It should be noted that valley retrieval refers to the process of finding locations where the light response intensity decreases or local minima are formed in the resonance spectral data; position calibration refers to the process of determining the corresponding positions of each valley on the frequency axis and their relative relationships; candidate valley data refers to valley information obtained after valley retrieval and position calibration, which can be used for subsequent grouping and analysis; preset sensitive axis correspondence refers to the pre-established correspondence between different sensitive axes and spectral valleys in the quantum magnetic sensitive unit; group matching refers to the process of pairing or classifying candidate valleys belonging to the same sensitive axis or the same splitting response; interval analysis refers to the process of analyzing the frequency spacing or relative changes between grouped valleys; preset magnetic field projection conversion relationship refers to the correspondence rules used to convert the spectral line splitting state into magnetic field projection components on each sensitive axis; projection component refers to the component characterization of the measured magnetic field on a certain sensitive axis.

[0042] Specifically, after obtaining the resonance spectral line data, curve analysis is first performed on the resonance spectral line data to identify local response positions that satisfy the characteristics of troughs. The frequency position, response intensity, and adjacency relationship corresponding to each trough are then calibrated. Abnormal or interfering points that do not meet the identification criteria are eliminated, thus forming candidate trough data corresponding to the resonance spectral line data. This candidate trough data serves as the data basis for subsequent determinations of whether spectral lines have split, the degree of splitting, and the distribution of splitting positions.

[0043] Subsequently, based on the preset correspondence between sensitive axes, the valleys with corresponding relationships in the candidate valley data are grouped and matched. The interval, center position, and splitting changes between each group of valleys are analyzed to obtain spectral splitting characterization data that can represent the spectral splitting state of each sensitive axis. On this basis, according to the preset magnetic field projection transformation relationship, the spectral splitting characterization data are converted into the projection components of the measured magnetic field on each sensitive axis, and then summarized to form magnetic field projection data.

[0044] By retrieving and calibrating the valleys of the resonance spectral data, candidate valley data suitable for splitting analysis can be extracted from the overall spectral response. Through pre-defined sensitive axis correspondences, the candidate valley data are grouped and interval-analyzed, allowing the dispersed valley features to be organized into spectral splitting characterization data corresponding to each sensitive axis. Furthermore, based on pre-defined magnetic field projection transformation relationships, the projection components along each sensitive axis are determined, enabling the splitting variations in the resonance spectral lines to be converted into magnetic field projection data. This step provides a structured magnetic field projection basis for subsequent direction determination and attitude calculation, helping to reduce measurement instability caused by the inaccurate extraction of spectral splitting features.

[0045] This embodiment obtains resonance spectral line data by performing frequency sweep excitation on the quantum transformer probe and acquiring the corresponding optical response signal of the quantum transformer probe; it then performs feature recognition on the resonance spectral line data to obtain spectral line splitting characterization data, and determines the magnetic field projection data based on the spectral line splitting characterization data; it performs direction determination processing on the magnetic field projection data based on a preset perturbation magnetic field to obtain directional magnetic field projection data; it performs attitude calculation based on the directional magnetic field projection data and a preset axial spatial relationship to obtain probe attitude deviation data; it generates compensation control data based on the probe attitude deviation data, and adjusts the quantum transformer probe and / or compensation magnetic field according to the compensation control data, so as to determine the measurement state based on the adjusted resonance spectral line data. This embodiment obtains resonance spectral data reflecting the current response state of the quantum transformer probe by sweeping the frequency and collecting the optical response signal. Then, by performing feature recognition on the resonance spectral data, the spectral splitting state is converted into magnetic field projection data. Furthermore, the direction of the magnetic field projection data is determined by using a preset perturbation magnetic field, resulting in directional magnetic field projection data. Combined with a preset axial spatial relationship, the probe attitude deviation data is calculated, establishing a correlation between spectral changes, magnetic field projection, and probe attitude deviation. Based on this, compensation control data is generated according to the probe attitude deviation data, and the quantum transformer probe and / or compensation magnetic field are adjusted. Finally, the measurement state is determined based on the adjusted resonance spectral data, reducing the impact of probe attitude deviation on the measurement state and thus improving the stability of quantum transformer measurements.

[0046] Based on the second embodiment described above, a third embodiment of the self-correcting measurement method for quantum mutual inductors of this application is proposed. Please refer to... Figure 3 , Figure 3 This is a schematic diagram of a sub-process in the third embodiment of the self-correction measurement method for quantum mutual inductors of this application.

[0047] In this embodiment, step S3 includes: S31: Based on preset disturbance control parameters, control the compensation magnetic field generating unit to apply a preset disturbance magnetic field to the quantum transformer probe, and collect the corresponding disturbance-induced resonance spectral data after applying the preset disturbance magnetic field. S32: Perform feature recognition on the perturbed resonance spectral data to obtain perturbed spectral line splitting characterization data, and compare the perturbed spectral line splitting characterization data with the spectral line splitting characterization data before applying the preset perturbed magnetic field to obtain splitting change characterization data; S33: Based on the splitting change characterization data, determine the directional attributes corresponding to each projection component in the magnetic field projection data, and mark the magnetic field projection data according to the directional attributes to obtain directional magnetic field projection data.

[0048] It should be noted that the preset disturbance control parameters refer to the parameters used to control the application process of the disturbance magnetic field, including the application direction, timing, duration, or control intensity of the disturbance magnetic field; the compensation magnetic field generating unit refers to the functional unit used to generate a controllable additional magnetic field in the area where the quantum transformer probe is located; the resonant spectral data after disturbance refers to the resonant spectral data reacquired after the preset disturbance magnetic field is applied; the spectral line splitting characterization data after disturbance refers to the valley splitting state data identified based on the resonant spectral line data after disturbance; the change comparison refers to the process of comparing the spectral line splitting states before and after disturbance; the splitting change characterization data refers to the data used to represent the changes in valley interval, splitting degree, or splitting trend before and after disturbance; the directional attribute refers to the attribute used to characterize whether the projection component is positive or negative relative to the sensitive axis; and the marking process refers to the process of associating and recording the directional attribute with the corresponding projection component.

[0049] Specifically, after obtaining the magnetic field projection data and the spectral line splitting characterization data before the disturbance, the control unit generates a disturbance control command based on preset disturbance control parameters and controls the compensation magnetic field generating unit to apply a preset disturbance magnetic field to the region where the quantum transformer probe is located. This preset disturbance magnetic field has a known direction and is used to produce a identifiable change in the original magnetic field projection state. After applying the preset disturbance magnetic field, the quantum transformer probe is sampled again to obtain the resonance spectral line data after the disturbance, and the valleys and splitting states of the resonance spectral line data after the disturbance are identified and extracted to obtain the spectral line splitting characterization data after the disturbance.

[0050] Subsequently, the spectral line splitting characterization data after perturbation is compared with the spectral line splitting characterization data before the application of the preset perturbation magnetic field to determine the changing trend of the trough interval or splitting state corresponding to each sensitive axis before and after perturbation, thus obtaining splitting change characterization data. For example, when the splitting interval corresponding to a certain sensitive axis shows an increasing trend after perturbation, the relationship between the projection component and the preset perturbation magnetic field in the corresponding direction can be determined; when the splitting interval shows a decreasing trend, the corresponding opposite directional relationship can be determined. Based on this splitting change characterization data, the directional attributes corresponding to each projection component in the magnetic field projection data are determined, and the directional attributes are associated with the corresponding projection components to obtain directional magnetic field projection data.

[0051] By controlling the compensation magnetic field generator to apply a preset perturbation magnetic field through preset perturbation control parameters, and then re-acquiring resonance spectral data after the perturbation, the magnetic field projection data, which originally only represented the projection size, can generate spectral changes that can be used for direction determination. By comparing the changes in spectral line splitting characterization data before and after the perturbation, the trough splitting changes can be converted into splitting change characterization data, and the directional attributes of each projection component can be determined accordingly. Further, the directional attributes are marked into the magnetic field projection data, resulting in directional magnetic field projection data that includes both projection size and directional attributes. Thus, this step reduces the impact of magnetic field projection direction uncertainty on subsequent attitude calculations, providing a more accurate data basis for probe attitude deviation determination and compensation adjustment.

[0052] Based on the second embodiment described above, in this embodiment, step S4 includes: S41: Based on the preset axial spatial relationship, each projection component in the directional magnetic field projection data is associated and matched with the corresponding sensitive axis to obtain axial projection constraint data; S42: Based on the axial projection constraint data, perform vector reconstruction and orientation analysis to obtain the current attitude characterization data corresponding to the quantum transformer probe; S43: Perform deviation analysis between the current attitude characterization data and the preset target attitude characterization data to determine the deviation state of the quantum transformer probe relative to the target working attitude, and obtain the probe attitude deviation data.

[0053] It should be noted that: association matching refers to the process of binding each projection component according to its axial relationship; axial projection constraint data refers to the constraint data formed by the matching relationship between each projection component and its corresponding axis, which is used for subsequent spatial attitude calculation; vector reconstruction refers to the process of restoring the spatial magnetic field or probe response direction based on the projection information on multiple axes; direction analysis refers to the process of analyzing the spatial orientation, angle state, or direction distribution of the reconstruction result; current attitude characterization data refers to the data used to represent the current spatial attitude or current response direction of the quantum transformer probe; preset target attitude characterization data refers to the preset attitude reference data corresponding to the target working attitude; deviation analysis refers to the process of comparing the current attitude characterization data with the preset target attitude characterization data to determine the degree and direction of deviation; deviation state refers to the deflection or deviation of the quantum transformer probe relative to the target working attitude.

[0054] Specifically, after obtaining the directional magnetic field projection data, each projection component is first associated and matched with its corresponding sensitive axis according to a preset axial spatial relationship. This ensures that each projection component no longer exists as isolated data but is incorporated into a preset spatial axial framework. Through this process, the position and constraint relationship of each projection component in the spatial attitude calculation can be determined, forming axial projection constraint data for subsequent vector reconstruction.

[0055] Subsequently, based on the axial projection constraint data, the projection components in multiple axes are comprehensively processed to reconstruct the spatial vector state related to the current magnetic field direction or probe response direction. The spatial vector state is then analyzed for direction to obtain the current attitude characterization data corresponding to the quantum transformer probe. Next, the current attitude characterization data is compared with the preset target attitude characterization data to determine the degree and direction of deviation of the current attitude relative to the target working attitude. This deviation is then compiled into probe attitude deviation data.

[0056] By associating and matching the directional magnetic field projection data with the corresponding sensitive axis, each projection component can form axial projection constraint data that can be used for attitude calculation according to a preset axial spatial relationship. Further, through vector reconstruction and direction analysis, the dispersed projection information is transformed into current attitude characterization data that reflects the probe's current state. Then, by performing deviation analysis between the current attitude characterization data and the preset target attitude characterization data, the probe attitude deviation data relative to the target working attitude can be obtained. Thus, this step realizes the conversion from directional magnetic field projection to probe attitude deviation, providing a basis for subsequently generating compensation control data based on the attitude deviation, thereby helping to reduce the impact of probe attitude deviation on the measurement stability of the quantum transformer.

[0057] In this embodiment, step S5 includes: S51: Based on the probe attitude deviation data, analyze the deviation type, determine the compensation method corresponding to the probe attitude deviation data, and generate compensation control data according to the compensation method; S52: Based on the compensation control data, control the mechanical attitude adjustment mechanism to adjust the attitude of the quantum transformer probe, and / or control the compensation magnetic field generating unit to generate a compensation magnetic field, so as to obtain the adjusted quantum transformer probe. S53: Perform frequency sweep verification on the adjusted quantum transformer probe to obtain the adjusted resonance spectral data, and determine the measurement state of the quantum transformer based on the adjusted resonance spectral data.

[0058] It should be noted that deviation type analysis refers to the process of determining the magnitude, direction, or source of deviation based on probe attitude deviation data; compensation method refers to the correction method determined for different deviation types, including mechanical attitude correction of the quantum transformer probe and / or magnetic field compensation through an additional magnetic field; mechanical attitude adjustment mechanism refers to the actuator used to change the spatial attitude of the quantum transformer probe; attitude adjustment refers to the process of moving the quantum transformer probe closer to the target working attitude through mechanical execution; frequency sweep verification refers to the process of re-sweeping the frequency excitation and spectral acquisition of the quantum transformer probe after adjustment to confirm the adjustment results.

[0059] Specifically, after obtaining the probe attitude deviation data, the deviation type is first analyzed to determine whether the deviation is suitable for correction using mechanical attitude adjustment, compensating magnetic field adjustment, or a combination of both. For example, when the deviation manifests as a significant attitude deviation, mechanical attitude adjustment is prioritized; when the deviation manifests as a small magnetic field direction shift or residual drift, compensating magnetic field adjustment is selected. Subsequently, compensation control data is generated based on the determined compensation method, ensuring that the compensation control data corresponds to the specific execution object and correction direction.

[0060] After generating compensation control data, the mechanical attitude adjustment mechanism is controlled to adjust the attitude of the quantum transformer probe based on the compensation control data, and / or the compensation magnetic field generating unit is controlled to generate a compensation magnetic field, so that the response state of the quantum transformer probe approaches the target working state, thus obtaining the adjusted quantum transformer probe. After the adjustment is completed, the adjusted quantum transformer probe is re-scanned for frequency verification, and the adjusted resonance spectral line data is collected and generated. Then, the spectral line state is determined based on the adjusted resonance spectral line data to determine whether it meets the measurement requirements, thereby determining the measurement state of the quantum transformer.

[0061] By analyzing the probe attitude deviation data for different types, a matching relationship can be established between the attitude deviation and the corresponding compensation method. This allows the compensation control data to no longer rely solely on a fixed adjustment strategy, but to drive the mechanical attitude adjustment mechanism and / or the compensation magnetic field generating unit to make targeted adjustments based on the deviation. Furthermore, by performing frequency sweep verification on the adjusted quantum transformer probe and determining the measurement state based on the adjusted resonance spectral data, the compensation adjustment results can be confirmed through spectral response feedback. This reduces the possibility that the probe attitude deviation will continue to affect the measurement state, thereby improving the stability of quantum transformer measurements.

[0062] This embodiment obtains resonance spectral line data by performing frequency sweep excitation on the quantum transformer probe and acquiring the corresponding optical response signal of the quantum transformer probe; it then performs feature recognition on the resonance spectral line data to obtain spectral line splitting characterization data, and determines the magnetic field projection data based on the spectral line splitting characterization data; it performs direction determination processing on the magnetic field projection data based on a preset perturbation magnetic field to obtain directional magnetic field projection data; it performs attitude calculation based on the directional magnetic field projection data and a preset axial spatial relationship to obtain probe attitude deviation data; it generates compensation control data based on the probe attitude deviation data, and adjusts the quantum transformer probe and / or compensation magnetic field according to the compensation control data, so as to determine the measurement state based on the adjusted resonance spectral line data. This embodiment obtains resonance spectral data reflecting the current response state of the quantum transformer probe by sweeping the frequency and collecting the optical response signal. Then, by performing feature recognition on the resonance spectral data, the spectral splitting state is converted into magnetic field projection data. Furthermore, the direction of the magnetic field projection data is determined by using a preset perturbation magnetic field, resulting in directional magnetic field projection data. Combined with a preset axial spatial relationship, the probe attitude deviation data is calculated, establishing a correlation between spectral changes, magnetic field projection, and probe attitude deviation. Based on this, compensation control data is generated according to the probe attitude deviation data, and the quantum transformer probe and / or compensation magnetic field are adjusted. Finally, the measurement state is determined based on the adjusted resonance spectral data, reducing the impact of probe attitude deviation on the measurement state and thus improving the stability of quantum transformer measurements.

[0063] Please see Figure 4 , Figure 4 This is a comparison diagram of the splitting and merging of NV color center full-frequency swept ODMR spectral lines in one embodiment of the self-correction measurement method for quantum mutual inductors in this application.

[0064] In one embodiment, such as Figure 4 As shown, the self-correcting measurement method for quantum mutual inductors specifically includes the following steps: Step 1: Full-Frequency Domain Scanning and Valley Feature Extraction. When the transformer system starts up or detects an error alarm, the control unit commands the microwave source to perform a broadband full-frequency domain sweep in the NV center electron spin resonance band (e.g., 2.7 GHz - 3.0 GHz). The host computer receives the signal processed by the lock-in amplifier, performs further data analysis, acquires ODMR spectra, records the fluorescence intensity variation curve with microwave frequency, and extracts the ODMR splitting peak. Under attitude deflection conditions, eight valleys (four pairs) are extracted, and their center frequency differences are calculated. Based on the formula relating the energy level splitting of the NV color center to the external magnetic field $B$:

[0065] (in (where is the electron cyclotron ratio), and the absolute values ​​of the projections of the current total magnetic field onto the four crystal orientations of the NV color center are calculated precisely. .

[0066] Step 2: Perturbation-based sign recovery. Due to the symmetry of the ODMR spectral lines, the above steps only obtain the absolute values ​​of the projections. To calculate the attitude, the algebraic signs of each component need to be recovered. A known small positive test magnetic field is briefly applied in the X-axis direction to the three-dimensional coil. A second local frequency sweep was performed to observe the changes in the spacing between the four pairs of troughs: if the spacing between a pair of troughs widened, the original magnetic field component along that axis was determined to be positive; if it narrowed, it was determined to be negative. This converts the absolute value into a signed projected component. According to the laws of conservation of physics, the sum of these four components is always zero.

[0067] Step 3: Spatial coordinates and attitude calculation Establish a spatial rectangular coordinate system with the center of the regular tetrahedron as the origin. Calculate the rectangular components of the actual spatial magnetic field after the disturbance by projecting along the four axes. :

[0068]

[0069]

[0070] Calculate the total magnetic field modulus .

[0071] Then, the zenith angle of the current magnetic field vector is calculated using spherical coordinates. and azimuth :

[0072]

[0073] Step 4: Error Calculation and Active Feedback Correction The target angle corresponding to the ideal dual state (i.e., the two-wave trough state, such as the magnetic field parallel to the X-axis) with the highest system signal-to-noise ratio is defined as follows: .

[0074] Calculate the angular deviation:

[0075]

[0076] Deviation The signal is converted into a current control signal and input to the PID controller of the three-dimensional orthogonal compensation coil. The coil generates a corresponding reverse correction magnetic field, which is superimposed on the original magnetic field, forcing the total magnetic field vector to rotate back to the ideal high symmetry axis.

[0077] After the correction is completed, a microwave scan is performed again to confirm that the ODMR spectrum has perfectly collapsed and overlapped from 8 valleys to 2 large valleys. At this point, the system completes self-correction and enters the high-precision steady-state current measurement mode.

[0078] This application also provides a self-correcting measurement device for quantum mutual inductors. Please refer to... Figure 5 , Figure 5 This is a schematic diagram of the module structure of the quantum transformer self-correction measurement device according to an embodiment of this application. The quantum transformer self-correction measurement device includes: The frequency sweep excitation module 501 is used to perform frequency sweep excitation on the quantum transformer probe and collect the optical response signal corresponding to the quantum transformer probe to obtain resonance spectral data. The feature recognition module 502 is used to perform feature recognition on the resonance spectral line data to obtain spectral line splitting characterization data, and determine magnetic field projection data based on the spectral line splitting characterization data. The direction determination module 503 is used to perform direction determination processing on the magnetic field projection data based on a preset perturbed magnetic field to obtain magnetic field projection data with direction. The attitude calculation module 504 is used to perform attitude calculation based on the directional magnetic field projection data and the preset axial spatial relationship to obtain probe attitude deviation data. The target module 505 is used to generate compensation control data based on the probe attitude deviation data, and adjust the quantum transformer probe and / or compensation magnetic field according to the compensation control data, so as to determine the measurement state based on the adjusted resonance spectral data.

[0079] The quantum transformer self-correcting measurement device provided in this application, employing the quantum transformer self-correcting measurement method described in the above embodiments, can solve the technical problem of how to improve the stability of quantum transformer measurements. Compared with the prior art, the beneficial effects of the quantum transformer self-correcting measurement device provided in this application are the same as those of the quantum transformer self-correcting measurement method described in the above embodiments, and other technical features in the quantum transformer self-correcting measurement device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0080] This application provides a quantum transformer self-calibration measurement device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the quantum transformer self-calibration measurement method in the above embodiment.

[0081] The following is for reference. Figure 6 , Figure 6 This is a schematic diagram of the hardware operating environment involved in the self-correction measurement method of quantum transformers in the embodiments of this application. It shows a schematic diagram of the structure of the quantum transformer self-correction measurement device suitable for implementing the embodiments of this application. Figure 6 The quantum mutual inductor self-correction measurement device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0082] like Figure 6 As shown, the quantum transformer self-calibration measurement device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the quantum transformer self-calibration measurement device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the quantum transformer self-calibration measurement device to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows a quantum transformer self-calibration measurement device with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems can be implemented alternatively.

[0083] In particular, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. When the computer program is executed by the processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0084] The quantum transformer self-calibration measurement device provided in this application, employing the quantum transformer self-calibration measurement method described in the above embodiments, can solve the technical problem of how to improve the stability of quantum transformer measurements. Compared with the prior art, the beneficial effects of the quantum transformer self-calibration measurement device provided in this application are the same as those of the quantum transformer self-calibration measurement method provided in the above embodiments, and other technical features of this quantum transformer self-calibration measurement device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0085] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0086] 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 scope of the technology 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.

[0087] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the quantum transformer self-correction measurement method in the above embodiments.

[0088] The aforementioned computer-readable storage medium carries one or more programs. When these programs are executed by the quantum transformer self-correction measurement device, the quantum transformer self-correction measurement device performs the following: frequency sweep excitation on the quantum transformer probe and acquires the corresponding optical response signal of the quantum transformer probe to obtain resonance spectral line data; performs feature recognition on the resonance spectral line data to obtain spectral line splitting characterization data, and determines magnetic field projection data based on the spectral line splitting characterization data; performs direction determination processing on the magnetic field projection data based on a preset perturbation magnetic field to obtain directional magnetic field projection data; performs attitude calculation based on the directional magnetic field projection data and a preset axial spatial relationship to obtain probe attitude deviation data; generates compensation control data based on the probe attitude deviation data, and adjusts the quantum transformer probe and / or compensation magnetic field according to the compensation control data to determine the measurement state based on the adjusted resonance spectral line data. Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0089] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, 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 indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated 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 the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0090] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0091] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described quantum transformer self-correction measurement method, thereby solving the technical problem of how to improve the stability of quantum transformer measurements. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the quantum transformer self-correction measurement method provided in the above embodiments, and will not be repeated here.

[0092] This application provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the quantum mutual inductor self-correction measurement method described above.

[0093] The computer program product provided in this application can solve the technical problem of how to improve the stability of quantum transformer measurements. Compared with the prior art, the beneficial effects of the computer program product provided in the embodiments of this application are the same as the beneficial effects of the self-correcting measurement method for quantum transformers provided in the above embodiments, and will not be repeated here.

[0094] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent scope of this application.

Claims

1. A self-correcting measurement method for quantum mutual inductors, characterized in that, The method includes: The quantum transformer probe is subjected to frequency sweep excitation, and the corresponding optical response signal of the quantum transformer probe is collected to obtain resonance spectral line data; Feature identification is performed on the resonance spectral line data to obtain spectral line splitting characterization data, and magnetic field projection data is determined based on the spectral line splitting characterization data. The magnetic field projection data is processed to determine the direction based on a preset perturbation magnetic field, resulting in magnetic field projection data with direction. The attitude calculation is performed based on the directional magnetic field projection data and the preset axial spatial relationship to obtain the probe attitude deviation data. Compensation control data is generated based on the probe attitude deviation data, and the quantum transformer probe and / or compensation magnetic field are adjusted according to the compensation control data to determine the measurement state based on the adjusted resonance spectral data.

2. The method as described in claim 1, characterized in that, The steps of performing frequency sweep excitation on the quantum transformer probe and acquiring the corresponding optical response signal of the quantum transformer probe to obtain resonance spectral line data include: Based on preset frequency sweep control parameters, the microwave excitation unit is controlled to perform frequency sweep excitation on the quantum magnetic sensitive unit in the quantum transformer probe, and the optical excitation unit is simultaneously controlled to perform optical excitation on the quantum magnetic sensitive unit. The photoresponse signal generated by the quantum magnetic sensitive unit under the combined action of the frequency sweep excitation and the optical excitation is collected, and the photoresponse signal is subjected to photoelectric conversion and signal acquisition processing to obtain frequency-correlated response data; Based on the frequency-correlation response data, the optical response change relationship corresponding to different excitation frequencies is determined, and the resonance spectral data corresponding to the quantum transformer probe is generated according to the optical response change relationship.

3. The method as described in claim 1, characterized in that, The step of performing feature identification on the resonance spectral line data to obtain spectral line splitting characterization data, and determining magnetic field projection data based on the spectral line splitting characterization data, includes: The resonance spectral line data is subjected to valley retrieval and position calibration to obtain candidate valley data corresponding to the resonance spectral line data; Based on the preset sensitive axis correspondence, the candidate valley data are subjected to group matching and interval analysis to obtain spectral line splitting characterization data that characterizes the spectral line splitting state of each sensitive axis. Based on the spectral line splitting characterization data and the preset magnetic field projection conversion relationship, the projection components of the measured magnetic field on each sensitive axis are determined, and the magnetic field projection data is obtained.

4. The method as described in claim 1, characterized in that, The step of performing direction determination processing on the magnetic field projection data based on a preset perturbed magnetic field to obtain directional magnetic field projection data includes: Based on preset perturbation control parameters, the compensation magnetic field generating unit is controlled to apply a preset perturbation magnetic field to the quantum transformer probe, and the corresponding perturbation-induced resonance spectral data is collected after the preset perturbation magnetic field is applied. Feature identification is performed on the perturbed resonance spectral data to obtain perturbed spectral line splitting characterization data, and the perturbed spectral line splitting characterization data is compared with the spectral line splitting characterization data before the application of the preset perturbed magnetic field to obtain splitting change characterization data. Based on the splitting change characterization data, the directional attributes corresponding to each projection component in the magnetic field projection data are determined, and the magnetic field projection data is marked according to the directional attributes to obtain directional magnetic field projection data.

5. The method as described in claim 1, characterized in that, The step of calculating the probe attitude deviation data based on the directional magnetic field projection data and the preset axial spatial relationship includes: Based on the preset axial spatial relationship, each projection component in the directional magnetic field projection data is associated and matched with the corresponding sensitive axis to obtain axial projection constraint data. Based on the axial projection constraint data, vector reconstruction and orientation analysis are performed to obtain the current attitude characterization data corresponding to the quantum transformer probe. The deviation between the current attitude characterization data and the preset target attitude characterization data is analyzed to determine the deviation state of the quantum transformer probe relative to the target working attitude, and the probe attitude deviation data is obtained.

6. The method as described in claim 1, characterized in that, The step of generating compensation control data based on the probe attitude deviation data, and adjusting the quantum transformer probe and / or compensation magnetic field according to the compensation control data, to determine the measurement state based on the adjusted resonance spectral line data, includes: Based on the probe attitude deviation data, the deviation type is analyzed to determine the compensation method corresponding to the probe attitude deviation data, and compensation control data is generated according to the compensation method. Based on the compensation control data, the mechanical attitude adjustment mechanism is controlled to adjust the attitude of the quantum transformer probe, and / or the compensation magnetic field generating unit is controlled to generate a compensation magnetic field to obtain the adjusted quantum transformer probe. The adjusted quantum transformer probe is subjected to frequency sweep verification to obtain the adjusted resonance spectral data, and the measurement state of the quantum transformer is determined based on the adjusted resonance spectral data.

7. A self-correcting measurement device for a quantum mutual inductor, characterized in that, The device includes: The frequency sweep excitation module is used to perform frequency sweep excitation on the quantum transformer probe and collect the corresponding optical response signal of the quantum transformer probe to obtain resonance spectral data. The feature recognition module is used to perform feature recognition on the resonance spectral line data to obtain spectral line splitting characterization data, and to determine magnetic field projection data based on the spectral line splitting characterization data. The direction determination module is used to perform direction determination processing on the magnetic field projection data based on a preset perturbed magnetic field to obtain magnetic field projection data with direction. The attitude calculation module is used to perform attitude calculation based on the directional magnetic field projection data and the preset axial spatial relationship to obtain probe attitude deviation data. The target module is used to generate compensation control data based on the probe attitude deviation data, and adjust the quantum transformer probe and / or compensation magnetic field according to the compensation control data, so as to determine the measurement state based on the adjusted resonance spectral line data.

8. A computer device, characterized in that, The device includes: a memory, a processor, and a quantum transformer self-calibration measurement program stored in the memory and executable on the processor, the quantum transformer self-calibration measurement program being configured to implement the steps of the quantum transformer self-calibration measurement method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium stores a quantum transformer self-correction measurement program, which, when executed by a processor, implements the steps of the quantum transformer self-correction measurement method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the quantum mutual inductor self-correction measurement method as described in any one of claims 1 to 6.

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