Environmental evaluation method, device and equipment of Rydberg atomic electric field sensor and medium

Abstract

The invention discloses an environment evaluation method, device and equipment for a Rydberg atomic electric field sensor and a medium, and relates to the technical field of computers, and the method comprises the steps: preparing a target Rydberg state in an atomic gas chamber of the Rydberg atomic electric field sensor, so as to form an electromagnetic induction transparent readout chain; on the electromagnetic induction transparent readout chain, electric field intensity observation under different interferences is carried out in parallel based on a preset field intensity inversion formula, preset physical field interference experiment configuration information and a corresponding preset interference error analysis strategy so as to determine a temperature and humidity error value, an electric field intensity error value and a magnetic field intensity error value; and determining a target environment evaluation result based on the temperature and humidity error value, the electric field intensity error value, the magnetic field intensity error value, the task spectrum weight configuration information and the engineering grading information so as to complete the inspection operation of the Rydberg atomic electric field sensor by using the target environment evaluation result. The reliability, the accuracy, the stability and the repeatability of the evaluation result can be improved.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to environmental assessment methods, apparatus, equipment and media for Rydberg atomic electric field sensors. Background Technology

[0002] Despite the self-calibration advantage of Rydberg atomic electric field sensors, multi-physics interference in practical applications can significantly affect the EIT (Electromagnetically Induced Transparency) spectral morphology and reading stability, a problem particularly prominent in power system frequency electric field measurements. Temperature fluctuations intensify atomic thermal motion, triggering Doppler broadening and altering the atomic number density in the vapor pool; humidity changes cause baseline drift and full width at half maximum (FWHM) broadening of the EIT spectral lines; and external static magnetic fields (such as stray magnetic fields around power equipment) can cause multi-peak splitting in the EIT spectral lines, interfering with the field strength inversion process based on single-peak center localization.

[0003] To address the aforementioned issues, existing solutions attempt to propose targeted deviation correction measures. However, these solutions mostly discuss spectral line changes or uncertainty components under a specific physical factor, lacking an executable solution that incorporates temperature and humidity with magnetic field splitting and strong field avoidance into the same process. Consequently, they are unable to directly support the power industry's systematic needs for type evaluation, factory calibration, and in-service diagnostics of Rydberg atomic electric field sensors. Summary of the Invention

[0004] In view of this, the purpose of this invention is to provide an environmental assessment method, apparatus, equipment, and medium for Rydberg atomic electric field sensors. This method can quantify the influence boundaries of temperature, humidity, strong electric fields, and strong magnetic fields on electromagnetically induced transparency spectral shifts and readings under reproducible experimental and interference configurations, improving the reliability, accuracy, stability, and repeatability of the assessment results. This directly supports the systematic needs of the power industry for type evaluation, factory calibration, and in-service diagnostics of Rydberg atomic electric field sensors. The specific solution is as follows:

[0005] In a first aspect, this application provides an environmental assessment method for a Rydberg atom electric field sensor, wherein the Rydberg atom electric field sensor is an electric field quantum measurement sensor constructed using Rydberg atoms; the method includes:

[0006] Based on the backpropagation of the probe light and the coupling light, the target Rydberg state is prepared in the atomic gas chamber of the Rydberg atomic electric field sensor to form an electromagnetically induced transparent readout chain.

[0007] On the electromagnetically induced transparent readout chain, based on the preset field strength inversion formula, preset physical field interference experiment configuration information, and corresponding preset interference error analysis strategy, electric field strength observations under different interferences are performed in parallel to determine the temperature and humidity error values, electric field strength error values, and magnetic field strength error values. The preset physical field interference experiment configuration information includes preset temperature and humidity interference configuration information, preset strong electric field interference configuration information, and preset strong magnetic field interference configuration information. The preset interference error analysis strategy is used to analyze the environment under the corresponding physical field interference and the relative field strength error between it and the relevant nominal environment.

[0008] Based on the temperature and humidity error value, the electric field strength error value, the magnetic field strength error value, and the task spectrum weight configuration information corresponding to the preset physical field interference experiment configuration information, the environmental reliability score is determined;

[0009] Based on the environmental reliability score and engineering classification information, the target environmental assessment result is determined so that the Rydberg atomic electric field sensor inspection operation can be completed using the target environmental assessment result.

[0010] Optionally, on the electromagnetically induced transparent readout chain, based on a preset field strength inversion formula, preset physical field interference experimental configuration information, and corresponding preset interference error analysis strategy, the electric field strength observation under different interferences is performed in parallel, including:

[0011] Based on the electrode chamber and parallel plate standard field within the Rydberg atomic electric field sensor, cross-calibration is performed to obtain a fixed standard field strength; the electrode chamber is embedded with stainless steel parallel electrodes to introduce a low-frequency / DC field to be measured.

[0012] Calibration is performed based on the first preset nominal environmental information to determine the first equivalent polarization and the first zero-field bias.

[0013] Construct a temperature and humidity matrix; the temperature and humidity matrix includes temperature operating information and humidity operating information;

[0014] For any temperature and humidity operating point in the temperature and humidity matrix, on the electromagnetically induced transparent readout chain, based on the first equivalent polarizability, the first zero field bias, the preset field strength inversion formula, the preset baseline surface and temperature detuning compensation, several non-recalibrated inversions are performed to determine the first field strength observation results corresponding to each operating condition.

[0015] Based on the first field strength observation results and the fixed standard field strength, determine the relative error of the first field strength corresponding to each of the above working conditions;

[0016] A weighted average is performed based on the first field strength relative error and the task spectrum weights corresponding to the temperature and humidity matrix to determine the temperature and humidity error value.

[0017] Optionally, on the electromagnetically induced transparent readout chain, based on a preset field strength inversion formula, preset physical field interference experimental configuration information, and corresponding preset interference error analysis strategy, the electric field strength observation under different interferences is performed in parallel, including:

[0018] Automatic state selection is performed based on the target range to determine the available linear region;

[0019] Within the available linear region, grid sampling is performed to determine the reference standard field strength corresponding to multiple reference operating points;

[0020] Based on the second preset nominal environmental information, the zero field and two-level standard fields are calibrated to determine the second equivalent polarizability and the second zero field bias.

[0021] For each of the aforementioned reference operating points, on the electromagnetically induced transparent readout chain, based on the second equivalent polarizability, the second zero-field bias, and the preset field strength inversion formula, field strength is observed and inverted to determine the second field strength observation results corresponding to each of the aforementioned reference operating points.

[0022] Based on the second field strength observation results and the corresponding reference standard field strength, the relative error of the second field strength corresponding to each of the reference working points is determined;

[0023] The average value of the second field strength relative error is taken to determine the electric field strength error value.

[0024] Optionally, on the electromagnetically induced transparent readout chain, based on a preset field strength inversion formula, preset physical field interference experimental configuration information, and corresponding preset interference error analysis strategy, the electric field strength observation under different interferences is performed in parallel, including:

[0025] Based on the electrode gas chamber and parallel plate standard field in the Rydberg atomic electric field sensor, cross-calibration is performed to obtain a fixed standard field strength.

[0026] The fixed standard field strength is taken as the field strength value when the static magnetic field is zero;

[0027] Calibration is performed based on the third preset nominal environmental information to determine the third equivalent polarization and the third zero-field bias.

[0028] On the electromagnetically induced transparent readout chain, based on the magnetic field stepping index information, different static magnetic fields are applied step by step starting from zero, and two electric field intensity observations are performed on the spectral peak centroid and the multi-spectral peak joint fitting under prior constraints to determine the third field intensity observation result.

[0029] Based on the third field strength observation results, the fixed standard field strength, and the number of magnetic field step indexes, the magnetic field strength error value is determined.

[0030] Optionally, determining the environmental reliability score based on the temperature and humidity error value, the electric field strength error value, the magnetic field strength error value, and the task spectrum weight configuration information corresponding to the preset physical field interference experiment configuration information includes:

[0031] Obtain the task spectrum weight configuration information corresponding to the preset physical field interference experiment configuration information;

[0032] Based on the task spectrum weight configuration information, determine the weight values ​​corresponding to the temperature and humidity error value, the electric field strength error value, and the magnetic field strength error value, respectively;

[0033] An environmental reliability score is determined based on the temperature and humidity error value, the electric field strength error value, the magnetic field strength error value, and the weight value.

[0034] Optionally, determining the target environmental assessment result based on the environmental reliability score and engineering classification information, so as to use the target environmental assessment result to complete the testing operation of the Rydberg atomic electric field sensor, includes:

[0035] Obtain project classification information;

[0036] Based on the engineering classification information and the environmental reliability score, the target sensor level is determined;

[0037] Based on the target sensor level, sensor processing recommendations are determined; the sensor processing recommendations include release recommendations or re-inspection recommendations.

[0038] Based on the sensor processing recommendation information, the environmental reliability score, and the target sensor level, the target environmental assessment result is determined so that the Rydberg atomic electric field sensor inspection operation can be completed using the target environmental assessment result.

[0039] Optionally, after determining the temperature and humidity error values, electric field strength error values, and magnetic field strength error values, the method further includes:

[0040] Based on the temperature and humidity error values, a temperature and humidity error heatmap and a recommended working window are determined;

[0041] Based on the electric field strength error value, determine the linear segment coverage map and the fitting residual map;

[0042] Based on the magnetic field strength error value, the magnetic field tolerance curve and box plot are determined.

[0043] Secondly, this application provides an environmental assessment device for a Rydberg atom electric field sensor, wherein the Rydberg atom electric field sensor is an electric field quantum measurement sensor constructed using Rydberg atoms; the device includes:

[0044] A Rydberg state preparation module is used to prepare target Rydberg states in the atomic gas chamber of the Rydberg atomic electric field sensor based on backpropagation probe light and coupling light to form an electromagnetically induced transparent readout chain.

[0045] The parallel observation module for interference experiments is used to conduct parallel observations of electric field strength under different interferences on the electromagnetically induced transparent readout chain, based on a preset field strength inversion formula, preset physical field interference experiment configuration information, and a corresponding preset interference error analysis strategy, in order to determine the temperature and humidity error values, electric field strength error values, and magnetic field strength error values. The preset physical field interference experiment configuration information includes preset temperature and humidity interference configuration information, preset strong electric field interference configuration information, and preset strong magnetic field interference configuration information. The preset interference error analysis strategy is used to analyze the relative field strength error between the environment under the corresponding physical field interference and the relevant nominal environment.

[0046] The score determination module is used to determine the environmental reliability score based on the temperature and humidity error value, the electric field strength error value, the magnetic field strength error value, and the task spectrum weight configuration information corresponding to the preset physical field interference experiment configuration information.

[0047] The evaluation result determination module is used to determine the target environmental evaluation result based on the environmental reliability score and engineering classification information, so as to use the target environmental evaluation result to complete the testing operation of the Rydberg atomic electric field sensor.

[0048] Thirdly, this application provides an electronic device, comprising:

[0049] Memory, used to store computer programs;

[0050] A processor is used to execute the computer program to implement the steps of the aforementioned environmental assessment method for the Rydberg atomic electric field sensor.

[0051] Fourthly, this application provides a computer-readable storage medium for storing a computer program that, when executed by a processor, implements the steps of the aforementioned environmental assessment method using a Rydberg atomic electric field sensor.

[0052] Therefore, in this application, the Rydberg atom electric field sensor is an electric field quantum measurement sensor constructed using Rydberg atoms; the method includes: preparing a target Rydberg state in the atomic gas chamber of the Rydberg atom electric field sensor based on backpropagating probe light and coupling light to form an electromagnetically induced transparent readout chain; on the electromagnetically induced transparent readout chain, based on a preset field strength inversion formula, preset physical field interference experimental configuration information, and a corresponding preset interference error analysis strategy, parallel observations of electric field strength under different interferences are performed to determine the temperature and humidity error value, electric field strength error value, and magnetic field strength error value; wherein, the preset physical field interference experimental configuration information... This includes preset temperature and humidity interference configuration information, preset strong electric field interference configuration information, and preset strong magnetic field interference configuration information. The preset interference error analysis strategy is used to analyze the environment under the corresponding physical field interference and the relative field strength error between it and the relevant nominal environment. Based on the temperature and humidity error value, the electric field strength error value, the magnetic field strength error value, and the task spectrum weight configuration information corresponding to the preset physical field interference experimental configuration information, an environmental reliability score is determined. Based on the environmental reliability score and the engineering classification information, a target environmental evaluation result is determined so that the Rydberg atomic electric field sensor testing operation can be completed using the target environmental evaluation result. In other words, this application first prepares a target Rydberg state in the atomic gas chamber of the Rydberg atomic electric field sensor to form an electromagnetically induced transparent readout chain. Then, based on a preset field strength inversion formula, preset physical field interference experimental configuration information, and corresponding preset interference error analysis strategy, electric field strength observations under different interferences are performed in parallel on the electromagnetically induced transparent readout chain to determine the temperature and humidity error values, electric field strength error values, and magnetic field strength error values. Subsequently, combined with the task spectrum weight configuration information corresponding to the preset physical field interference experimental configuration information, an environmental reliability score is determined. Based on the environmental reliability score and engineering classification information, the target environmental evaluation result is determined to complete the Rydberg atomic electric field sensor inspection operation. In this way, under reproducible experiments and interference configurations, the influence boundaries of temperature, humidity, strong electric field, and strong magnetic field on electromagnetically induced transparent spectral shift and readings can be quantified, improving the reliability, accuracy, stability, and repeatability of the evaluation results. This directly supports the systematic needs of the power industry for type evaluation, factory calibration, and in-service diagnostics of Rydberg atomic electric field sensors. Attached Figure Description

[0053] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0054] Figure 1A flowchart of an environmental assessment method for a Rydberg atomic electric field sensor is provided in this application;

[0055] Figure 2 A flowchart of a specific environmental assessment method for a Rydberg atomic electric field sensor is provided in this application;

[0056] Figure 3 A schematic diagram of an environmental assessment device for a Rydberg atomic electric field sensor provided in this application;

[0057] Figure 4 This application provides a structural diagram of an electronic device. Detailed Implementation

[0058] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0059] Despite the self-calibration advantage of Rydberg atomic electric field sensors, multi-physics interference in practical applications significantly affects the EIT spectral morphology and reading stability, a problem particularly prominent in power system frequency electric field measurements. Temperature fluctuations intensify atomic thermal motion, triggering Doppler broadening and altering the atomic number density in the steam pool; humidity changes cause baseline drift and full width at half maximum (FWHM) broadening of the EIT spectral lines; and external static magnetic fields (such as stray magnetic fields around power equipment) can cause multi-peak splitting in the EIT spectral lines, interfering with field strength inversion processes based on single-peak center localization. Existing solutions attempt to address these issues with targeted deviation correction measures; however, these solutions primarily discuss spectral changes or uncertainty components under specific physical factors, lacking an executable approach that integrates temperature and humidity with magnetic field splitting and strong field crossover into a single process. Consequently, they struggle to directly support the systematic requirements of the power industry for type evaluation, factory calibration, and in-service diagnostics of Rydberg atomic electric field sensors.

[0060] To this end, this application provides an environmental assessment scheme for Rydberg atomic electric field sensors, which can quantify the influence boundaries of temperature, humidity, strong electric field, and strong magnetic field on electromagnetically induced transparency spectral shift and readings under reproducible experimental and interference configurations, improve the reliability, accuracy, stability and repeatability of the assessment results, and thus directly support the systematic needs of the power industry for type evaluation, factory calibration and in-service diagnosis of Rydberg atomic electric field sensors.

[0061] See Figure 1As shown in the figure, this invention discloses an environmental assessment method for a Rydberg atom electric field sensor, wherein the Rydberg atom electric field sensor is an electric field quantum measurement sensor constructed using Rydberg atoms; the method includes:

[0062] Step S11: Based on the backpropagation of the probe light and the coupling light, the target Rydberg state is prepared in the atomic gas chamber of the Rydberg atomic electric field sensor to form an electromagnetically induced transparent readout chain.

[0063] In this embodiment, the target Rydberg state is first prepared in an atomic gas chamber using a backpropagating probe light and a coupling light to form an EIT readout chain. The atomic gas chamber can be a cesium atomic gas chamber, the probe light can be 852 nm, and the coupling light can be 509 nm.

[0064] It's important to understand that the atomic gas chamber contains embedded stainless steel parallel electrodes to introduce a low-frequency / DC test field, avoiding glass shielding and ensuring direct interaction between atoms and the electric field. Furthermore, it is externally equipped with a physical field interference experimental configuration information loading component to control environmental disturbances and perform cross-calibration in conjunction with the parallel plate standard field device. The internal gas chamber of the parallel electrodes has a diameter of approximately 2cm, a length of approximately 5cm, a wall thickness of approximately 2mm, and an electrode spacing of approximately 0.7cm; the material matching ensures thermal stability and chemical compatibility.

[0065] Step S12: On the electromagnetically induced transparent readout chain, based on the preset field strength inversion formula, preset physical field interference experiment configuration information, and corresponding preset interference error analysis strategy, electric field strength observations under different interferences are performed in parallel to determine the temperature and humidity error value, electric field strength error value, and magnetic field strength error value; wherein, the preset physical field interference experiment configuration information includes preset temperature and humidity interference configuration information, preset strong electric field interference configuration information, and preset strong magnetic field interference configuration information, and the preset interference error analysis strategy is used to analyze the environment under the corresponding physical field interference and the relative field strength error between it and the relevant nominal environment.

[0066] In this embodiment, after determining the electromagnetically induced transparent readout chain, experiments were conducted in parallel under reproducible experimental setup and loading conditions for three environmental disturbance scenarios: temperature and humidity, strong electric field, and strong magnetic field. The errors under these three environmental disturbance scenarios were determined by comparing the errors between relevant nominal environments. Furthermore, during the above experiments, all errors were uniformly attributed to the reading caliber of "relative field strength error"; observation and inversion still adopted the Rydberg EIT. Model( Equivalent polarizability With zero field bias, For Stark frequency shift, (Electric field strength).

[0067] Specifically, regarding the error modeling and experimental process for temperature and humidity disturbances, this embodiment includes: cross-calibrating based on the electrode chamber and parallel plate standard field within the Rydberg atomic electric field sensor to obtain a fixed standard field strength; embedding stainless steel parallel electrodes in the electrode chamber to introduce a low-frequency / DC test field; calibrating based on a first preset nominal environmental information to determine a first equivalent polarizability and a first zero-field bias; constructing a temperature and humidity matrix; the temperature and humidity matrix includes temperature and humidity operating conditions information; and performing calibration for any temperature and humidity condition in the temperature and humidity matrix. At the specified point, on the electromagnetically induced transparent readout chain, based on the first equivalent polarizability, the first zero-field bias, the preset field strength inversion formula, the preset baseline surface, and temperature detuning compensation, several non-recalibrated inversions are performed to determine the first field strength observation results corresponding to each of the aforementioned operating conditions; based on the first field strength observation results and the fixed standard field strength, the first field strength relative error corresponding to each of the aforementioned operating conditions is determined; based on the first field strength relative error and the task spectrum weight corresponding to the temperature and humidity matrix, a weighted average is performed to determine the temperature and humidity error value.

[0068] It is important to understand that, due to temperature With relative humidity It will change the spectral line broadening and baseline, thereby causing The changes are transmitted to the field strength inversion. Therefore, this embodiment uses a fixed standard field strength. (This field strength was obtained through cross-calibration using a parallel plate standard field), in the temperature and humidity matrix. Repeated readings were taken under various operating conditions, using the nominal environmental standard. The first equivalent polarization obtained by subscripting First zero field bias Performing a "non-recalibration" inversion directly reflects the impact of temperature and humidity disturbances on field readings. The formula for characterizing temperature and humidity errors used in this experiment is defined as follows:

[0069] .

[0070] In the formula, , which represents any temperature and humidity point in the temperature and humidity matrix. Below are the electric field estimates obtained through EIT inversion, with subscripts indicating their values. and Network indexes representing temperature and relative humidity respectively; The reference field strength is set by the parallel plate standard field or the cross calibration device, and is a constant in this experiment; For corresponding temperature and humidity operating conditions The relative error of the field strength.

[0071] Then, the task spectrum weights are taken within the entire temperature and humidity matrix. The average error for this experimental dimension is obtained as follows:

[0072] .

[0073] In the formula, This is the relative error of the field strength obtained by weighted averaging under the temperature and humidity dimensions, i.e., the temperature and humidity error value. Temperature and humidity operating point The weights in the target task spectrum are non-negative and normalized for each temperature and humidity condition point.

[0074] Specifically, regarding the error modeling and experimental process for strong electric field disturbances, this embodiment includes: automatically selecting states based on the target range to determine the available linear region; performing grid sampling within the available linear region to determine the reference standard field strength corresponding to multiple reference operating points; calibrating the zero field and two-level standard fields based on the second preset nominal environmental information to determine the second equivalent polarizability and the second zero field bias; for each of the reference operating points, observing and inverting the field strength on the electromagnetically induced transparent readout chain based on the second equivalent polarizability, the second zero field bias, and the preset field strength inversion formula to determine the second field strength observation results corresponding to each of the reference operating points; determining the second field strength relative error corresponding to each of the reference operating points based on the second field strength observation results and the corresponding reference standard field strength; and taking the average of the second field strength relative errors to determine the electric field strength error value.

[0075] It is important to understand that, due to the proximity to "avoiding crossover" or high-range areas, right The quadratic relationship exhibits considerable nonlinearity. Therefore, this embodiment requires a nonlinearity avoidance and state selection algorithm under strong electric fields. First, the state is automatically selected based on the target range to ensure that the operating point is in the usable linear region. Then, multiple grid samples are taken within this region. By taking readings, inverting the results, and comparing them, the linearity retention capability under a strong electric field is obtained. The formula for characterizing the strong electric field error used in this experiment is defined as follows:

[0076] .

[0077] In the formula, The calibration results were obtained under the nominal environment of "zero field + two-level standard field" for this experiment. The second equivalent polarizability, For the second zero field bias; The number of reference field strengths sampled within the available linear region; For the first Standard field strength at each reference point (set according to parallel plate). For the first The electric field estimates observed and inverted at each reference point; For the first The relative error corresponding to each reference point; This represents the average relative error of the electric field strength, i.e., the error value of the electric field strength.

[0078] Specifically, regarding the error modeling and experimental process for strong magnetic field disturbances, this embodiment includes: cross-calibrating based on the electrode gas chamber and parallel plate standard field within the Rydberg atomic electric field sensor to obtain a fixed standard field strength; using the fixed standard field strength as the field strength value when the static magnetic field is zero; calibrating based on third preset nominal environmental information to determine the third equivalent polarizability and the third zero-field bias; on the electromagnetically induced transparent readout chain, based on magnetic field step index information, stepping loading of different static magnetic fields starting from zero, and performing two-way electric field strength observations of the spectral peak centroid and multi-peak joint fitting under prior constraints to determine the third field strength observation result; and determining the magnetic field strength error value based on the third field strength observation result, the fixed standard field strength, and the number of magnetic field step indices.

[0079] It is important to understand that, due to static magnetic fields It will cause Sublevel splitting and peak intensity ratio changes. Therefore, this embodiment adopts "intensity-weighted centroid / prior constraint joint fitting", that is, multi-peak joint fitting under spectral peak centroid / prior constraints, and the two-way reading recovery is equivalent. (This represents the equivalent spectral line shift (centroid shift) obtained using the intensity-weighted centroid method when magnetostriction is resolvable), under constant... Next step: Apply static magnetic field Comparison with The difference in readings over time is used to quantify the effect of magnetic coupling on field strength inversion. An error characterization formula for the strong magnetic field used in this experiment is defined as follows:

[0080] .

[0081] In the formula, The electric field estimate is obtained by fitting one of these two methods using the spectral peak centroid and multiple spectral peaks under prior constraints. and These are the baseline parameters under the relevant nominal environment of this experiment, representing the third equivalent polarizability and the third zero-field bias, respectively; For the first One magnetic field step index; for The corresponding reference field strength at that time; For the first The relative error of each point; This represents the average relative error under static magnetic field coupling conditions, i.e., the magnetic field strength error value.

[0082] Furthermore, the centroid of the spectral peaks during splitting can be distinguished:

[0083] .

[0084] In the formula, The centroid frequencies of the spectral peaks are obtained by intensity weighting. For the first The center frequency of each distinguishable sub-peak; For the first The peak intensity or integral intensity of each sub-peak; Index the sub-peaks.

[0085] Prior constraint fitting for indistinguishable splitting:

[0086] .

[0087] In the formula, For the first The prior center frequency model of each sub-peak (with static magnetic field) change); The center frequency when the magnetic field is zero; In order to be with the first The effective magnetic quantum number / transition selection rule corresponding to each sub-peak; For effective Factors (related to specific states and coupling selection rules); It is the Bohr magneton constant; is Planck's constant.

[0088] When the split is distinguishable, take the centroid; when it is indistinguishable, use... The factors and the priors of the selection rules are jointly fitted to ensure stable and consistent readings.

[0089] Step S13: Determine the environmental reliability score based on the temperature and humidity error value, the electric field strength error value, the magnetic field strength error value, and the task spectrum weight configuration information corresponding to the preset physical field interference experiment configuration information.

[0090] In this embodiment, after completing the above experiments and determining the errors corresponding to the three environmental disturbance scenarios of temperature and humidity, strong electric field, and strong magnetic field, a comprehensive reliability evaluation is performed using the obtained temperature and humidity error values, electric field strength error values, and magnetic field strength error values. Specifically: Task spectrum weight configuration information corresponding to the preset physical field interference experiment configuration information is obtained; based on the task spectrum weight configuration information, weight values ​​corresponding to the temperature and humidity error values, electric field strength error values, and magnetic field strength error values ​​are determined; based on the temperature and humidity error values, electric field strength error values, magnetic field strength error values, and weight values, an environmental reliability score is determined.

[0091] It is understood that, in this embodiment, the above three types of single-factor average errors are respectively denoted as... , , Weights are set based on the device's share of the task spectrum in the target scenario. Define a concise and interpretable comprehensive reliability index value, namely the environmental reliability value:

[0092] .

[0093] In the formula, The larger the calculated value, the higher the reliability of the Rydberg atomic electric field sensor.

[0094] Step S14: Based on the environmental reliability score and engineering classification information, determine the target environmental assessment result so as to use the target environmental assessment result to complete the testing operation of the Rydberg atomic electric field sensor.

[0095] In this embodiment, after determining the environmental reliability score, the Rydberg atomic electric field sensor's level is determined based on the corresponding engineering classification information to ascertain the target environmental assessment result. Specifically: engineering classification information is acquired; based on the engineering classification information and the environmental reliability score, the target sensor level is determined; based on the target sensor level, sensor processing recommendation information is determined; the sensor processing recommendation information includes release recommendation information or re-inspection recommendation information; based on the sensor processing recommendation information, the environmental reliability score, and the target sensor level, the target environmental assessment result is determined so that the Rydberg atomic electric field sensor inspection operation can be completed using the target environmental assessment result. In one specific implementation, the engineering classification can be: Grade A (Recommended); Grade B (restricted use); Grade C (Unqualified), release / re-inspection recommendation based on the grade.

[0096] In addition, after determining the temperature and humidity error values, electric field strength error values, and magnetic field strength error values ​​during the above three experiments, the process also includes: determining a temperature and humidity error heatmap and a recommended working window based on the temperature and humidity error values; determining a linear segment coverage map and a fitting residual map based on the electric field strength error values; and determining a magnetic field tolerance curve and a box plot based on the magnetic field strength error values.

[0097] In summary, the implementation process in this embodiment includes: 1) Calibration: Obtaining the nominal environment. and ,Establish Inversion caliber; 2) Temperature and humidity matrix: measured according to temperature and humidity operating conditions network. And seek 3) Strong field network: measured in the selective linear region And seek 4) Magnetic field stepping: calculated using centroid / joint fitting And seek 5) Synthesis and classification: Substituting into the above formula, we get And provide evaluation suggestions according to the level.

[0098] In this way, it is possible to:

[0099] (1) From "uncertainty budget" to "executable reliability closed loop". This embodiment takes... , , As the basic quantity, it is obtained by weighting the task spectrum. Based on this classification, a closed-loop process of "experimental sampling - error modeling - index synthesis - release / re-inspection" is formed, which solves the gap in the implementation of existing technologies that only provide errors but not engineering conclusions.

[0100] (2) The observation and correction model closely matches the actual working conditions, and the system bias converges significantly. (Introduction) Baseline plane and temperature detuning compensation suppress spectral line drift, centroid / joint fitting robustly addresses magnetostrictive splitting, and automatic state selection ensures operation within the usable linear region; under equivalent range, it reduces reading deviations caused by nonlinearity and splitting, making the evaluation results stable and repeatable.

[0101] (3) Enhanced engineering implementation and traceability. Built-in electrode gas chamber and parallel plate standard field cross-calibration, along with self-verification using "zero field + two-level standard field," ensure process control and result comparison; configurable weights... The indicators and engineering classification facilitate cross-scenario reuse and large-scale application, supporting the unified quantitative management of R&D, type testing and in-service inspection of Rydberg atomic electric field sensors.

[0102] Therefore, in this application, a target Rydberg state is first prepared in the atomic gas chamber of the Rydberg atomic electric field sensor to form an electromagnetically induced transparent readout chain. Then, based on a preset field strength inversion formula, preset physical field interference experimental configuration information, and corresponding preset interference error analysis strategy, electric field strength observations under different interferences are performed in parallel on the electromagnetically induced transparent readout chain to determine the temperature and humidity error values, electric field strength error values, and magnetic field strength error values. Subsequently, combined with the task spectrum weight configuration information corresponding to the preset physical field interference experimental configuration information, an environmental reliability score is determined. Based on the environmental reliability score and engineering classification information, the target environmental evaluation result is determined to complete the Rydberg atomic electric field sensor inspection operation. In this way, under reproducible experiments and interference configurations, the influence boundaries of temperature, humidity, strong electric field, and strong magnetic field on electromagnetically induced transparent spectral shift and readings can be quantified, improving the reliability, accuracy, stability, and repeatability of the evaluation results. This directly supports the systematic needs of the power industry for type evaluation, factory calibration, and in-service diagnostics of Rydberg atomic electric field sensors.

[0103] The following is combined with Figure 2 The schematic / timing diagrams disclosed herein provide a detailed description of the technical solutions of the embodiments of this application.

[0104] In this embodiment, before the experiment begins, the implementation device needs to be prepared / optical path checked. Then, the "zero field + two-level standard field" is calibrated, and the inversion model required for the experiment is constructed on the same EIT-Stark readout chain, using "field strength relative error" as a unified caliber, focusing on three typical interferences: "temperature and humidity - strong electric field - strong magnetic field". .

[0105] Then, parallel experimental error modeling begins. For the temperature and humidity experiment, the temperature and humidity matrix is ​​loaded first. Then, combined with a fixed standard field strength For each temperature and humidity condition in the temperature and humidity matrix, a "non-recalibration" inversion and ≥10 repeated readings are performed. The relative error of each condition point is calculated, and then... Perform a weighted average to obtain the temperature and humidity error. .according to Output error heatmap / recommendation window. For example, in one specific implementation, by building... , Operating conditions; various temperature and humidity operating points for the same Calculation after ≥10 consecutive measurements, frequency axis calibration, and baseline subtraction. and Outputs a temperature and humidity error heatmap and a recommended working window.

[0106] For experiments with strong electric fields, we first determine the usable linear region by performing free state analysis, and then sample the grid within the usable linear region. The strong field error is then characterized under the constraints of the fitted residual / linear segment coverage. .according to Output a linear segment coverage / residual map. That is, in one specific implementation, the usable linear region is determined through state selection. ( This represents the minimum electric field. (This represents the maximum value of the electric field); within this interval, take equal steps. ,calculate and , and attached The fitted residual plot and linear segment coverage are shown in the attached figure as supporting evidence.

[0107] For experiments with strong magnetic fields, a static magnetic field is first applied in a stepwise manner to determine the resolvability of the splitting. Then, under magnetostrictive splitting, two-way readings are obtained using a combination of intensity-weighted centroid and prior constraint fitting. .according to Output magnetic field tolerance curve. That is, in one specific implementation, in... ( The static magnetic field is applied in steps within the range of the maximum static magnetic field value. Two readings are used, one from the centroid and the other from a joint fitting method, to calculate the static magnetic field value. and It also outputs the magnetic field tolerance curve and box plot.

[0108] After completing all the above experiments, use the obtained... , , In conjunction with task spectrum weight configuration and comprehensive reliability indicators A comprehensive evaluation is conducted, and then, using the corresponding engineering classification, a decision recommendation for release / re-inspection is generated.

[0109] By integrating the software implementation of the above process parameterization and data structuring with the device, the evaluation results become traceable, verifiable, and scalable, making it suitable for integrated quantitative evaluation of R&D, type testing, and in-service inspection.

[0110] See Figure 3 As shown in the embodiments of this application, an environmental assessment device for a Rydberg atom electric field sensor is also disclosed. The Rydberg atom electric field sensor is an electric field quantum measurement sensor constructed using Rydberg atoms. The device includes:

[0111] Rydberg state preparation module 11 is used to prepare target Rydberg states in the atomic gas chamber of the Rydberg atomic electric field sensor based on back-propagating probe light and coupling light to form an electromagnetically induced transparent readout chain.

[0112] The interference experiment parallel observation module 12 is used to perform parallel electric field strength observations under different interferences on the electromagnetically induced transparent readout chain, based on a preset field strength inversion formula, preset physical field interference experiment configuration information, and a corresponding preset interference error analysis strategy, in order to determine the temperature and humidity error values, electric field strength error values, and magnetic field strength error values. The preset physical field interference experiment configuration information includes preset temperature and humidity interference configuration information, preset strong electric field interference configuration information, and preset strong magnetic field interference configuration information. The preset interference error analysis strategy is used to analyze the environment under the corresponding physical field interference and the relative field strength error between it and the relevant nominal environment.

[0113] The score determination module 13 is used to determine the environmental reliability score based on the temperature and humidity error value, the electric field strength error value, the magnetic field strength error value, and the task spectrum weight configuration information corresponding to the preset physical field interference experiment configuration information.

[0114] The evaluation result determination module 14 is used to determine the target environmental evaluation result based on the environmental reliability score and engineering classification information, so as to use the target environmental evaluation result to complete the Rydberg atomic electric field sensor inspection operation.

[0115] In some specific embodiments, the interference experiment parallel observation module 12 may specifically include:

[0116] The first cross-calibration unit is used to perform cross-calibration based on the electrode gas chamber and the parallel plate standard field in the Rydberg atomic electric field sensor to obtain a fixed standard field strength; the electrode gas chamber is embedded with stainless steel parallel electrodes to introduce a low-frequency / DC field to be measured.

[0117] The first parameter determination unit is used to perform calibration based on the first preset nominal environmental information to determine the first equivalent polarization and the first zero-field bias.

[0118] A matrix construction unit is used to construct a temperature and humidity matrix; the temperature and humidity matrix includes temperature operating condition information and humidity operating condition information.

[0119] The first observation unit is used to perform several non-recalibrated inversions on the electromagnetically induced transparent readout chain for any temperature and humidity operating point in the temperature and humidity matrix, based on the first equivalent polarizability, the first zero field bias, the preset field strength inversion formula, the preset baseline surface and temperature detuning compensation, so as to determine the first field strength observation results corresponding to each operating condition.

[0120] The first error determination unit is used to determine the first field strength relative error corresponding to each of the working conditions based on the first field strength observation results and the fixed standard field strength.

[0121] The temperature and humidity error determination unit is used to perform a weighted average based on the first field strength relative error and the task spectrum weight corresponding to the temperature and humidity matrix to determine the temperature and humidity error value.

[0122] In some specific embodiments, the interference experiment parallel observation module 12 may specifically include:

[0123] An automatic state selection unit is used to automatically select the state based on the target range to determine the available linear region;

[0124] Within the available linear region, grid sampling is performed to determine the reference standard field strength corresponding to multiple reference operating points;

[0125] The second parameter determination unit is used to calibrate the zero field and two-level standard fields based on the second preset nominal environmental information, so as to determine the second equivalent polarizability and the second zero field bias.

[0126] The second observation unit is used to observe and invert the field strength on the electromagnetically induced transparent readout chain for each of the reference operating points, based on the second equivalent polarizability, the second zero field bias, and the preset field strength inversion formula, so as to determine the second field strength observation results corresponding to each of the reference operating points.

[0127] The second error determination unit is used to determine the relative error of the second field strength corresponding to each of the reference working points based on the second field strength observation results and the corresponding reference standard field strength.

[0128] The electric field strength error determination unit is used to take the average value of the second field strength relative error to determine the electric field strength error value.

[0129] In some specific embodiments, the interference experiment parallel observation module 12 may specifically include:

[0130] The second cross-calibration unit is used to perform cross-calibration based on the electrode gas chamber and parallel plate standard field in the Rydberg atomic electric field sensor to obtain a fixed standard field strength.

[0131] The field strength configuration unit is used to take the fixed standard field strength as the field strength value when the static magnetic field is zero.

[0132] The third parameter determination unit is used to perform calibration based on the third preset nominal environmental information to determine the third equivalent polarization and the third zero-field bias.

[0133] The third observation unit is used to perform two-way electric field intensity observations on the electromagnetically induced transparent readout chain, based on the magnetic field stepping index information, starting from zero value and loading different static magnetic fields step by step, and performing spectral peak centroid and multi-spectral peak joint fitting under prior constraints, so as to determine the third field intensity observation results.

[0134] The magnetic field strength error determination unit is used to determine the magnetic field strength error value based on the third field strength observation result, the fixed standard field strength, and the number of magnetic field step indexes.

[0135] In some specific embodiments, the score determination module 13 may specifically include:

[0136] The weight configuration acquisition unit is used to acquire the task spectrum weight configuration information corresponding to the preset physical field interference experiment configuration information.

[0137] The weight value acquisition unit is used to determine the weight values ​​corresponding to the temperature and humidity error value, the electric field strength error value, and the magnetic field strength error value respectively, based on the task spectrum weight configuration information.

[0138] The score determination unit is used to determine the environmental reliability score based on the temperature and humidity error value, the electric field strength error value, the magnetic field strength error value, and the weight value.

[0139] In some specific embodiments, the evaluation result determination module 14 may specifically include:

[0140] The information acquisition unit is used to acquire engineering classification information;

[0141] The rating determination unit is used to determine the target sensor rating based on the engineering rating information and the environmental reliability score;

[0142] The suggestion information determination unit is used to determine sensor processing suggestion information based on the target sensor level; the sensor processing suggestion information includes release suggestion information or re-inspection suggestion information.

[0143] The evaluation result determination unit is used to determine the target environment evaluation result based on the sensor processing suggestion information, the environmental reliability score and the target sensor level, so as to use the target environment evaluation result to complete the Rydberg atomic electric field sensor inspection operation.

[0144] In some specific embodiments, the environmental assessment device for the Rydberg atomic electric field sensor may further include:

[0145] The temperature and humidity error processing unit is used to determine the temperature and humidity error heatmap and the recommended working window based on the temperature and humidity error value.

[0146] An electric field strength error processing unit is used to determine a linear segment coverage map and a fitting residual map based on the electric field strength error value.

[0147] The magnetic field strength error processing unit is used to determine the magnetic field tolerance curve and box plot based on the magnetic field strength error value.

[0148] Furthermore, embodiments of this application also disclose an electronic device, Figure 4 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content of the diagram should not be construed as limiting the scope of this application.

[0149] Figure 4 This is a schematic diagram of the structure of an electronic device 20 provided in an embodiment of this application. Specifically, the electronic device 20 may include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 stores a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the environmental assessment method of the Rydberg atomic electric field sensor disclosed in any of the foregoing embodiments. Alternatively, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0150] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0151] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or optical disk, etc. The resources stored thereon can include operating system 221, computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0152] The operating system 221 is used to manage and control the various hardware devices on the electronic device 20 and the computer program 222, which may be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program capable of performing the environmental assessment method of the Rydberg atomic electric field sensor executed by the electronic device 20 as disclosed in any of the foregoing embodiments, the computer program 222 may further include computer programs capable of performing other specific tasks.

[0153] Furthermore, this application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned environmental assessment method for the Rydberg atomic electric field sensor. Specific steps of this method can be found in the corresponding content disclosed in the foregoing embodiments, and will not be repeated here.

[0154] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0155] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0156] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0157] Finally, 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, 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 limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0158] The technical solutions provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method of environmental evaluation of a Rydberg atom electric field sensor, characterized by, The Rydberg atom electric field sensor is an electric field quantum measurement sensor constructed by using a Rydberg atom; the method comprises: Based on the back propagation of the probe light and the coupling light, a target Rydberg state is prepared in the atomic cell of the Rydberg atom electric field sensor to form an electromagnetically induced transparent readout chain; On the electromagnetically induced transparent readout chain, based on a preset field strength inversion formula, preset physical field interference experiment configuration information and corresponding preset interference error analysis strategies, electric field strength observations under different interferences are performed in parallel to determine temperature and humidity error values, electric field strength error values and magnetic field strength error values; wherein the preset physical field interference experiment configuration information includes preset temperature and humidity interference configuration information, preset strong electric field interference configuration information and preset strong magnetic field interference configuration information, and the preset interference error analysis strategies are used to analyze the relative error of the field strength between the corresponding physical field interference environment and the relevant nominal environment; Based on the temperature and humidity error values, the electric field strength error values, the magnetic field strength error values and the task spectrum weight configuration information corresponding to the preset physical field interference experiment configuration information, an environmental reliability score is determined; Based on the environmental reliability score and engineering classification information, a target environment evaluation result is determined, so as to complete the Rydberg atom electric field sensor inspection operation by using the target environment evaluation result.

2. The Rydberg atom electric field sensor environmental assessment method of claim 1, wherein, The electric field strength observations under different interferences on the electromagnetically induced transparent readout chain based on the preset field strength inversion formula, the preset physical field interference experiment configuration information and the corresponding preset interference error analysis strategies comprise: Based on the electrode cell and the parallel plate standard field in the Rydberg atom electric field sensor, cross calibration is performed to obtain a fixed standard field strength; the electrode cell is embedded with stainless steel parallel electrodes for introducing low-frequency / direct-current test fields; Based on the first preset nominal environment information, calibration is performed to determine a first equivalent polarizability and a first zero-field bias; A temperature and humidity matrix is constructed; the temperature and humidity matrix includes temperature working condition information and humidity working condition information; For any temperature and humidity working condition point in the temperature and humidity matrix, based on the first equivalent polarizability, the first zero-field bias, the preset field strength inversion formula, the preset baseline and temperature detuning compensation, a number of non-relabeling inversions are performed on the electromagnetically induced transparent readout chain to determine a first field strength observation result corresponding to each working condition; Based on the first field strength observation result and the fixed standard field strength, a first field strength relative error corresponding to each working condition is determined; Based on the first field strength relative error and the task spectrum weight corresponding to the temperature and humidity matrix, weighted average is performed to determine a temperature and humidity error value.

3. The Rydberg atom electric field sensor environmental assessment method of claim 1, wherein, The electric field strength observations under different interferences on the electromagnetically induced transparent readout chain based on the preset field strength inversion formula, the preset physical field interference experiment configuration information and the corresponding preset interference error analysis strategies comprise: Automatic state selection is performed based on a target range to determine an available linear region; In the available linear region, grid sampling is performed to determine reference standard field strengths corresponding to a plurality of reference working points; Based on the second preset nominal environment information, zero field and two-stage standard field calibration are performed to determine the second equivalent polarization rate and the second zero field bias; For each reference working point, based on the second equivalent polarization rate, the second zero field bias, and a preset field strength inversion formula, field strength observation and inversion are performed on the electromagnetic induced transparency readout chain to determine a second field strength observation result corresponding to each reference working point respectively; Based on the second field strength observation result and the corresponding reference standard field strength, a second field strength relative error corresponding to each reference working point is determined; The second field strength relative errors are averaged to determine an electric field intensity error value.

4. The Rydberg atom electric field sensor environmental assessment method of claim 1, wherein, The parallel electric field intensity observation under different interferences based on the preset field strength inversion formula, the preset physical field interference experiment configuration information, and the corresponding preset interference error analysis strategy on the electromagnetic induced transparency readout chain includes: Based on the electrode gas chamber in the Rydberg atomic electric field sensor and the parallel plate standard field, cross calibration is performed to obtain a fixed standard field strength; The fixed standard field strength is taken as the field strength value when the static magnetic field is zero; Based on the third preset nominal environment information, calibration is performed to determine the third equivalent polarization rate and the third zero field bias; Based on the magnetic field step index information, different static magnetic fields are loaded starting from zero value, and two-way electric field intensity observation is performed based on spectral peak centroid and multi-spectral peak joint fitting under prior constraints on the electromagnetic induced transparency readout chain to determine a third field strength observation result; Based on the third field strength observation result, the fixed standard field strength, and the number of magnetic field step indexes, a magnetic field intensity error value is determined.

5. The Rydberg atom electric field sensor environmental assessment method of claim 1, wherein, The determination of the environment reliability score based on the temperature and humidity error value, the electric field intensity error value, the magnetic field intensity error value, and the task spectrum weight configuration information corresponding to the preset physical field interference experiment configuration information includes: Obtain the task spectrum weight configuration information corresponding to the preset physical field interference experiment configuration information; Based on the task spectrum weight configuration information, determine the weight values corresponding to the temperature and humidity error value, the electric field intensity error value, and the magnetic field intensity error value respectively; Based on the temperature and humidity error value, the electric field intensity error value, the magnetic field intensity error value, and the weight values, determine the environment reliability score.

6. The Rydberg atom electric field sensor environmental assessment method of claim 1, wherein, The determination of the target environment evaluation result based on the environment reliability score and the engineering grading information, so as to complete the Rydberg atomic electric field sensor inspection operation by using the target environment evaluation result, includes: Obtain the engineering grading information; Based on the engineering grading information and the environment reliability score, determine the target sensor grade; Based on the target sensor grade, determine sensor processing suggestion information; the sensor processing suggestion information includes release suggestion information or re-inspection suggestion information; Based on the sensor processing suggestion information, the environment reliability score, and the target sensor grade, determine the target environment evaluation result, so as to complete the Rydberg atomic electric field sensor inspection operation by using the target environment evaluation result.

7. The Rydberg atom electric field sensor environmental assessment method of any one of claims 1 to 6, wherein, After determining the temperature and humidity error value, the electric field intensity error value, and the magnetic field intensity error value, the method further includes: determine a temperature and humidity error thermal map and a recommended working window based on the temperature and humidity error values; determine a linear segment coverage map and a fitting residual map based on the electric field intensity error values; determine a magnetic field tolerance curve and a box plot based on the magnetic field intensity error values.

8. An environmental evaluation device for a Rydberg atom electric field sensor, characterized by The Rydberg atom electric field sensor is an electric field quantum measurement sensor constructed by using Rydberg atoms; the device comprises: a Rydberg state preparation module configured to prepare a target Rydberg state in an atomic cell of the Rydberg atom electric field sensor based on a probe light and a coupling light in a backward propagation manner to form an electromagnetically induced transparency readout chain; an interference experiment parallel observation module configured to perform electric field intensity observation under different interferences in parallel on the electromagnetically induced transparency readout chain based on a preset field strength inversion formula, preset physical field interference experiment configuration information and corresponding preset interference error analysis strategies to determine temperature and humidity error values, electric field intensity error values and magnetic field intensity error values; wherein the preset physical field interference experiment configuration information comprises preset temperature and humidity interference configuration information, preset strong electric field interference configuration information and preset strong magnetic field interference configuration information, and the preset interference error analysis strategies are used to analyze the relative error of the field strength between the corresponding physical field interference environment and the nominal environment; a score determination module configured to determine an environment reliability score based on the temperature and humidity error values, the electric field intensity error values, the magnetic field intensity error values and task spectrum weight configuration information corresponding to the preset physical field interference experiment configuration information; an evaluation result determination module configured to determine a target environment evaluation result based on the environment reliability score and engineering grading information, so as to complete a Rydberg atom electric field sensor inspection operation by using the target environment evaluation result.

9. An electronic device, comprising: comprise: a memory configured to save a computer program; a processor configured to execute the computer program to implement the environment evaluation method of the Rydberg atom electric field sensor according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, a memory configured to save a computer program; the computer program is executed by a processor to implement the environment evaluation method of the Rydberg atom electric field sensor according to any one of claims 1 to 7.

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