Metering detection calibration method and system

Abstract

According to the metering detection calibration method and system, the dynamic waiting time is determined on the basis of the characteristic relaxation time of the instrument to be calibrated, and data is recorded after output is stable, so that the problems that the traditional fixed waiting time cannot adapt to the relaxation characteristic of the instrument, and data instability or low efficiency is easily caused are solved; the instrument is ensured to be fully stable so as to improve data reliability, and waiting time redundancy is avoided; and meanwhile, the equivalent effective times are calculated by combining the actual retention time after the output value is stabilized and the characteristic relaxation time of the instrument to be calibrated, and a final calibration result is obtained by adopting a statistical method for dynamically quantifying the data contribution degree, so that the problems that the existing equal weighting or manual weighting mode is strong in subjectivity and is difficult to reflect the real reliability of the data are solved. And the accuracy and objectivity of the calibration result are improved.

Description

Technical Field

[0001] This invention relates to the field of metrology and testing technology, and in particular to a metrology and testing calibration method and system. Background Technology

[0002] In metrological calibration practice, for scenarios requiring testing at multiple measurement ranges (such as 0%, 25%, 50%, 75%, and 100% of a pressure gauge's range), operators often use a fixed and habitual sequence for pressurization and depressurization measurements. The most typical method is the "up then down" sequence: 0% → 25% → 50% → 75% → 100% → 75% → 50% → 25% → 0%. The measurement is completed along a specific path; this type of measurement method is prone to introducing implicit systematic errors. However, this problem does not exist in all calibration scenarios. It is more common in instruments with slight mechanical hysteresis, friction, or thermal effects. For high-precision or fully electronic equipment, because these devices are less affected by mechanical structures, the error problem is often not obvious, which is why it has not been widely discussed and solved in the industry. From the essence of the problem, its cause is relatively simple: due to the characteristics of the instrument's internal mechanical structure, the measurement reading when returning from the "high-pressure point to the low-pressure point" and the measurement reading when rising from the "low-pressure point to the high-pressure point" will have slight differences due to mechanical hysteresis. The traditional sequential method will make this hysteresis error present a fixed pattern in the measurement data, and this error is easily buried in comprehensive evaluation indicators such as repeatability and hysteresis error, making it difficult to identify and isolate it separately. The traditional processing solution can only record all measurement data and then calculate hysteresis error and repeatability, which is a "post-hoc" overall evaluation method and cannot accurately distinguish the error composition of specific range points. In other words, it is impossible to determine how much of the error at this point is due to the influence of moving up from a low range point and how much is due to the influence of moving down from a high range point. This kind of hidden error related to the measurement path will interfere with the uncertainty assessment of the calibration results and may even lead to misjudgment in critical calibration scenarios. Summary of the Invention

[0003] Based on the technical problems existing in the background art described above, the present invention proposes a metrological testing and calibration method and system, and the technical solution adopted is as follows:

[0004] A metrological testing and calibration method, the method comprising:

[0005] S1: Determine multiple calibration points for the instrument to be calibrated;

[0006] S2: Generate a measurement sequence in a random order, the measurement sequence containing instructions to perform multiple cyclic measurements on the plurality of calibration points;

[0007] S3: Control the calibration source to output to the instrument to be calibrated sequentially according to the measurement sequence;

[0008] S4: At each calibration point in the measurement sequence, after the output stabilizes, record the output value of the instrument to be calibrated;

[0009] S5: For each calibration point, perform statistical analysis on the output values ​​recorded at each calibration point in all cycles to obtain the final calibration result for each calibration point.

[0010] Preferably, S1 specifically includes:

[0011] Based on the rated measurement range of the instrument to be calibrated, calibration points are evenly divided along the range. The number of calibration points is not less than the minimum calibration point threshold and covers the start, middle and end points of the range of the instrument to be calibrated. All calibration points are integrated to form a complete calibration point group for the instrument to be calibrated.

[0012] Preferably, S2 specifically includes:

[0013] Each calibration point in the complete calibration point group is assigned a unique identification code. All identification codes are rearranged using a pseudo-random algorithm, and the rearranged codes satisfy the following conditions: each calibration point in the complete calibration point group appears only once in a single measurement subsequence, and the sorting positions of any two calibration points have no fixed correlation.

[0014] Preferably, the measurement sequence in S2 includes instructions for performing multiple cyclic measurements on the plurality of calibration points, including the steps of setting the number of cyclic measurements and constructing a complete measurement sequence, specifically including:

[0015] The stability parameters of the instrument to be calibrated are obtained, and the stability level of the instrument is classified according to the stability parameters. The smaller the stability parameter value, the higher the stability level, and the larger the stability parameter value, the lower the stability level. For different stability levels, the corresponding number of cyclic measurements is set. The single measurement subsequence is repeated according to the set number of cyclic measurements, so that the number of times each calibration point in the complete calibration point group appears in the complete measurement sequence is consistent with the number of cyclic measurements, thus forming a complete measurement sequence.

[0016] Preferably, the S3 control calibration source sequentially outputs to the instrument to be calibrated according to the measurement sequence, including a step of synchronizing the calibration source and the measurement sequence, specifically including:

[0017] Before starting the measurement sequence, an instruction communication link is established between the calibration source and the measurement sequence. When the measurement sequence outputs the output instruction for the current calibration point, the calibration source receives the instruction and sends back a confirmation signal. After the measurement sequence receives the confirmation signal, the calibration source then executes the output operation for the corresponding calibration point.

[0018] Preferably, the S3 control calibration source sequentially outputs to the instrument to be calibrated according to the measurement sequence, including a parameter pre-verification step before the calibration source outputs, specifically including:

[0019] For each calibration point in the measurement sequence, before controlling the output of the calibration source, the set value of the calibration point is retrieved and compared with the rated output range of the calibration source. If the set value of the calibration point is within the rated output range of the calibration source, the output operation is executed; if the set value of the calibration point exceeds the rated output range of the calibration source, the set value of the calibration point is adjusted, and then the output command of the measurement sequence is executed.

[0020] Preferably, step S4, after the output stabilizes, includes a step of determining the dynamic waiting time based on the relaxation characteristics of the instrument to be calibrated, specifically including:

[0021] The characteristic relaxation time τ of the instrument to be calibrated is obtained in advance. For each calibration point, after the calibration source completes the output switching, a dynamic waiting time is preset. The dynamic waiting time is determined based on the characteristic relaxation time τ. When the duration of the calibration source output reaches the dynamic waiting time, it is determined that the output of the instrument to be calibrated is stable.

[0022] Preferably, the step S4 of recording the output value of the instrument to be calibrated includes the steps of output value acquisition and validity verification, specifically including:

[0023] After determining that the output is stable by the dynamic waiting time, the output value of the instrument to be calibrated is collected; it is confirmed whether the fluctuation range of the output value within the preset time interval exceeds the output stability judgment standard. If the fluctuation range does not exceed the output stability judgment standard, the output value is recorded directly; if the fluctuation range exceeds the requirement, the dynamic waiting time is readjusted based on the characteristic relaxation time τ, and the output value is recorded after the fluctuation range of the output value meets the stability judgment standard.

[0024] Preferably, step S5 performs statistical analysis on the output values ​​recorded at each calibration point in all cycles, specifically including:

[0025] For each measurement, the weighting coefficient of each output value is calculated based on the ratio of the actual holding time after the output value at the calibration point stabilizes to the characteristic relaxation time.

[0026] The final calibration result of the calibration point is obtained by calculating each output value using the weighting coefficients.

[0027] A metrology and calibration system, the system comprising:

[0028] Intelligent calibration point planning module: determines multiple calibration points for the instrument to be calibrated;

[0029] Measurement sequence dynamic generation module: Generates a measurement sequence in a random order, the measurement sequence containing instructions to perform multiple cyclic measurements on the multiple calibration points;

[0030] Calibration source output control module: controls the calibration source to output to the instrument to be calibrated sequentially according to the measurement sequence;

[0031] Intelligent output value acquisition and recording module: At each calibration point in the measurement sequence, after the output stabilizes, the output value of the instrument to be calibrated is recorded;

[0032] Calibration data statistical analysis module: For each calibration point, statistical analysis is performed on the output values ​​recorded at each calibration point in all cycles to obtain the final calibration result for each calibration point.

[0033] The beneficial effects of this invention are as follows: This invention determines the dynamic waiting time based on the characteristic relaxation time of the instrument to be calibrated, and records the data after the output stabilizes. This solves the problem that traditional fixed waiting times cannot adapt to the relaxation characteristics of instruments and are prone to data instability or low efficiency. It ensures that the instrument is sufficiently stable to improve data reliability and avoids redundant waiting time. At the same time, by combining the actual holding time after the output value stabilizes with the characteristic relaxation time of the instrument to be calibrated to calculate the equivalent effective number of times, the final calibration result is obtained by using a statistical method of dynamically quantifying the data contribution. This solves the problem that existing equal weighting or manual weighting methods are highly subjective and difficult to reflect the true reliability of the data, thus improving the accuracy and objectivity of the calibration results. Attached Figure Description

[0034] Figure 1 This invention provides a metrological testing and calibration method. Detailed Implementation

[0035] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0036] One embodiment of the present invention provides a metrological testing and calibration method, the method comprising:

[0037] S1: Determine multiple calibration points for the instrument to be calibrated;

[0038] S2: Generate a measurement sequence in a random order, the measurement sequence containing instructions to perform multiple cyclic measurements on the plurality of calibration points;

[0039] S3: Control the calibration source to output to the instrument to be calibrated sequentially according to the measurement sequence;

[0040] S4: At each calibration point in the measurement sequence, after the output stabilizes, record the output value of the instrument to be calibrated;

[0041] S5: For each calibration point, perform statistical analysis on the output values ​​recorded at each calibration point in all cycles to obtain the final calibration result for each calibration point.

[0042] The working principle and effect of the above technical solution are as follows: S1 determines multiple calibration points covering key nodes of the instrument's measurement range and forms a complete calibration point group; S2 uses a pseudo-random algorithm to rearrange the calibration points in no particular order, and combines the instrument stability parameters to set the number of cyclic measurements, generating a random sequence of multiple cyclic measurements to eliminate the implicit errors introduced by the traditional fixed measurement sequence; S3 controls the calibration source to output accurately according to the measurement sequence, and ensures the reliability of the input signal through instruction synchronization and parameter pre-verification; S4 determines the dynamic waiting time based on the instrument's characteristic relaxation time, and records the data after the output stabilizes, balancing stability and efficiency; S5 combines the stable holding time and relaxation characteristics of each measurement value, and calculates the final calibration result reflecting the true performance of the instrument through a statistical method of dynamically quantifying the contribution of data, achieving high-precision and high-efficiency metrological calibration.

[0043] This invention solves the problem that traditional fixed waiting times cannot adapt to the relaxation characteristics of instruments, easily leading to unstable data or low efficiency, by determining a dynamic waiting time based on the characteristic relaxation time of the instrument to be calibrated and recording data after the output stabilizes. This ensures that the instrument is sufficiently stable to improve data reliability and avoids redundant waiting time. At the same time, by combining the actual holding time after the output value stabilizes with the characteristic relaxation time of the instrument to be calibrated to calculate the equivalent effective number of times, the final calibration result is obtained by using a statistical method of dynamically quantifying the data contribution. This solves the problem that existing equal weighting or manual weighting methods are highly subjective and difficult to reflect the true reliability of the data, thus improving the accuracy and objectivity of the calibration results.

[0044] In one embodiment of the present invention, S1 specifically includes:

[0045] Based on the rated measurement range of the instrument to be calibrated, calibration points are evenly divided along the range. The number of calibration points is not less than the minimum calibration point threshold and covers the start, middle and end points of the range of the instrument to be calibrated. All calibration points are integrated to form a complete calibration point group for the instrument to be calibrated.

[0046] The working principle and effect of the above technical solution are as follows: Based on the rated measurement range of the instrument to be calibrated, the minimum set of calibration points covering the start, middle and end points of the range is first determined. Then, according to the accuracy requirements of the instrument, the total number of calibration points is determined to be no less than the minimum threshold (3). Finally, all calibration points are evenly distributed in the range by linear interpolation to form a complete set of calibration points to ensure full coverage of the range.

[0047] This method addresses the issues of uneven distribution of calibration points, omissions of key nodes, or insufficient number of calibration points in existing calibration methods, which result in poor calibration coverage and insufficient representativeness of results. It ensures that calibration points are evenly distributed within the measurement range to comprehensively reflect the instrument's performance in different measurement intervals. Furthermore, by covering key nodes such as the start, midpoint, and end points, it captures the instrument's characteristics at extreme and typical values. Simultaneously, it meets the data volume requirements of different calibration models, thus improving the comprehensiveness and accuracy of the calibration.

[0048] In one embodiment of the present invention, S2 specifically includes:

[0049] Each calibration point in the complete calibration point group is assigned a unique identification code. All identification codes are rearranged using a pseudo-random algorithm, and the rearranged codes satisfy the following conditions: each calibration point in the complete calibration point group appears only once in a single measurement subsequence, and the sorting positions of any two calibration points have no fixed correlation.

[0050] The working principle and effect of the above technical solution are as follows: First, a unique identification code is assigned to each calibration point in the complete calibration point group, so that each calibration point can be accurately identified by the unique code. Then, a pseudo-random algorithm is introduced to rearrange all the identification codes in a disordered manner. During the rearrangement process, two rules are strictly followed: ensure that each calibration point in the complete calibration point group appears only once in the generated single measurement subsequence, and that the sorting positions of any two calibration points in the subsequence do not have a fixed correlation. Finally, a single measurement subsequence containing all calibration points in a random order is obtained.

[0051] It solves the path dependency error problem that is easily introduced by the existing fixed measurement sequence, avoids the calibration results from deviating from the true value due to the regularity of the measurement sequence, and eliminates the systematic error caused by the implicit correlation between calibration points in the traditional fixed sequence by randomizing the sorting. It makes the starting point and transition point of each measurement randomly distributed, ensuring that the measurement conditions of different calibration points are more balanced, and improving the independence and objectivity of calibration data.

[0052] In one embodiment of the present invention, the measurement sequence in S2 includes instructions for performing multiple cyclic measurements on the plurality of calibration points, including the steps of setting the number of cyclic measurements and constructing a complete measurement sequence, specifically including:

[0053] The stability parameters of the instrument to be calibrated are obtained, and the stability level of the instrument is classified according to the stability parameters. The smaller the stability parameter value, the higher the stability level, and the larger the stability parameter value, the lower the stability level. For different stability levels, the corresponding number of cyclic measurements is set. The single measurement subsequence is repeated according to the set number of cyclic measurements, so that the number of times each calibration point in the complete calibration point group appears in the complete measurement sequence is consistent with the number of cyclic measurements, thus forming a complete measurement sequence.

[0054] The working principle and effect of the above technical solution are as follows: First, the stability parameters of the instrument to be calibrated are obtained through pre-experiments or the instrument's factory technical documentation. The stability parameters are quantitative indicators, specifically obtained by continuously recording the instrument's output values ​​and calculating its short-term fluctuation range under constant input conditions. Then, the stability parameters are classified into levels, and specific thresholds are set: stability parameter ≤ 0.5% FS (full scale) is Level 1 (high stability), 0.5% FS < stability parameter ≤ 2% FS is Level 2 (medium stability), and stability parameter > 2% FS is Level 3 (low stability). The smaller the stability parameter value, the higher the corresponding level, and the more stable the instrument output. Next, the number of cyclic measurements is set for different levels. Level 1 (high stability) instruments have small output fluctuations, so 3 cycles are set; Level 2 (medium stability) instruments have 5 cycles; and Level 3 (low stability) instruments have large output fluctuations and require more data to offset errors, so 8 cycles are set. Finally, the single random measurement subsequence is repeated according to the set number of cycles, so that the number of times each calibration point appears in the complete measurement sequence in the complete calibration point group is consistent with the number of cycles, forming a complete measurement sequence containing multiple random cyclic measurement instructions.

[0055] This invention solves the problem of "redundancy in measurement for high-stability instruments and insufficient data for low-stability instruments" caused by the fixed number of cycles in existing technologies. It increases the number of cycles for low-stability instruments to accumulate more data to offset the errors caused by output fluctuations and improve data representativeness, while reducing the number of cycles for high-stability instruments to avoid unnecessary repeated measurements and improve calibration efficiency.

[0056] In one embodiment of the present invention, the S3 control calibration source sequentially outputs to the instrument to be calibrated according to the measurement sequence, including a parameter pre-verification step before the calibration source outputs, specifically including:

[0057] For each calibration point in the measurement sequence, before controlling the output of the calibration source, the set value of the calibration point is retrieved and compared with the rated output range of the calibration source. If the set value of the calibration point is within the rated output range of the calibration source, the output operation is executed; if the set value of the calibration point exceeds the rated output range of the calibration source, the set value of the calibration point is adjusted, and then the output command of the measurement sequence is executed.

[0058] The working principle and effect of the above technical solution are as follows: Before the calibration source outputs according to the measurement sequence, for each calibration point in the sequence, the system automatically retrieves the set value of that calibration point and obtains the rated output range of the calibration source itself. By comparing the values, it is determined whether the set value of the calibration point falls within the rated output range of the calibration source. If the set value is within the range, the calibration source is directly controlled to execute the output operation of the set value. If the set value exceeds the range, the set value is adjusted to the range boundary value according to the maximum output capability of the calibration source, and the adjustment information is recorded. Then, the calibration source is controlled to output the adjusted value to ensure that the subsequent measurement sequence continues to be executed according to the adjusted parameters, avoiding output failure or data distortion due to the set value exceeding the capability of the calibration source.

[0059] This invention solves the problems of output failure, data distortion, or instrument overload damage caused by calibration point settings exceeding the output capacity of the calibration source in existing calibration processes. If the set value is within the range, the output is executed directly; if it is outside the range, it is adjusted before outputting. This avoids interrupting the calibration process due to parameter mismatch, ensuring the continuity and stability of the measurement sequence, and ensuring that the calibration source always outputs standard values ​​within its rated capacity, thus improving the accuracy and reliability of the output signal. At the same time, by actively adjusting parameters, it avoids overloading the calibration source and extends its service life.

[0060] In one embodiment of the present invention, step S4, after the output stabilizes, includes a step of determining the dynamic waiting time based on the relaxation characteristics of the instrument to be calibrated, specifically including:

[0061] The characteristic relaxation time τ of the instrument to be calibrated is obtained in advance. For each calibration point, after the calibration source completes the output switching, a dynamic waiting time is preset. The dynamic waiting time is determined based on the characteristic relaxation time τ. When the duration of the calibration source output reaches the dynamic waiting time, it is determined that the output of the instrument to be calibrated is stable. The dynamic waiting time T is obtained in the following way:

[0062]

[0063] in, This represents the absolute value of the difference between the current calibration point setting and the previous calibration point setting. This indicates the rated measurement range of the instrument to be calibrated.

[0064] The working principle and effect of the above technical solution are as follows: τ is an inherent property of the instrument to be calibrated, reflecting the basic time scale of the transition of the internal state from an unstable state to a stable state when the input signal changes slightly. It directly reflects the absolute amplitude of the input signal change. By comparing the absolute value of the difference between the current calibration point setpoint and the previous calibration point setpoint with the rated measurement range of the instrument being calibrated, it indicates the drastic nature of the input signal change. The more drastic the change, the greater the amplitude of the instrument's internal state adjustment, and the longer the additional time required to reach stability. In existing technologies, there are two main methods for determining the dynamic waiting time:

[0065] Fixed-time method: Regardless of instrument type or input variation, a fixed waiting time is set uniformly, without considering the inherent characteristics of the instrument and the impact of input variations;

[0066] The single-parameter method relies solely on the instrument's inherent relaxation time τ, neglecting the impact of input variation on the settling time. However, this approach has the following drawbacks:

[0067] Too short a fixed time: When the input changes significantly, the instrument records data before it is fully stable, leading to measurement errors;

[0068] A fixed waiting time that is too long results in redundant waiting time when the input changes are small, reducing calibration efficiency. This formula, however, dynamically adjusts the waiting time to ensure that when the input changes significantly, the waiting time increases synchronously with the adjustment range, guaranteeing that data is recorded only after the instrument has truly stabilized, thus improving accuracy. When the input changes are small, the waiting time is close to τ, avoiding unnecessary time waste and improving efficiency.

[0069] In one embodiment of the present invention, the step of recording the output value of the instrument to be calibrated in S4 includes the steps of output value acquisition and validity verification, specifically including:

[0070] After determining that the output is stable by the dynamic waiting time, the output value of the instrument to be calibrated is collected; it is confirmed whether the fluctuation range of the output value within the preset time interval exceeds the output stability judgment standard. If the fluctuation range does not exceed the output stability judgment standard, the output value is recorded directly; if the fluctuation range exceeds the requirement, the dynamic waiting time is readjusted based on the characteristic relaxation time τ, and the output value is recorded after the fluctuation range of the output value meets the stability judgment standard.

[0071] The working principle and effect of the above technical solution are as follows: After initially determining that the output of the instrument to be calibrated is stable through the dynamic waiting time, the acquisition of its output value is started; then the system automatically monitors and calculates the fluctuation range of the output value within a preset time interval (10 seconds) and compares it with the preset output stability judgment standard. If the fluctuation range does not exceed the standard, the output value is directly recorded; if the fluctuation range exceeds the standard, it indicates that the instrument has not yet reached a truly stable state. At this time, the dynamic waiting time is readjusted based on the characteristic relaxation time τ. The specific adjustment method is to extend the current dynamic waiting time by an integer multiple of τ to form a new dynamic waiting time. Then, the system continues to wait until the new dynamic waiting time ends, and monitors the fluctuation range of the output value again until it meets the stability judgment standard, and then records the output value.

[0072] This invention addresses the problem of data distortion caused by relying solely on a fixed waiting time to determine stability in existing technologies. It ensures that the recorded output values ​​accurately reflect the instrument's stable state through secondary verification of fluctuation amplitude, avoiding measurement errors introduced by premature stability determination. Furthermore, it reduces time redundancy and improves calibration efficiency by employing a targeted extension strategy based on τ, while maintaining data validity.

[0073] In one embodiment of the present invention, step S5 involves statistical analysis of the output values ​​recorded at each calibration point in all cycles, specifically including:

[0074] For each measurement, the weighting coefficient of each output value is calculated based on the ratio of the actual holding time after the output value at the calibration point stabilizes to the characteristic relaxation time.

[0075] The final calibration result of the calibration point is obtained by calculating each output value using the weighting coefficients, and the final calibration result is obtained using the following formula:

[0076]

[0077] in, This represents a single measurement value recorded after the output value stabilizes at a calibration point during the i-th cycle of measurement; This represents the equivalent number of valid measurements corresponding to the i-th measurement, and the... Obtain it using the following formula:

[0078]

[0079] Where t represents the actual time that the output value remains stable after reaching a steady state.

[0080] The working principle and effect of the above technical solution are as follows: when t=0, =1 means that this data only meets the minimum reliability standard when t=τ. =1=2 indicates that the data has undergone a complete relaxation period verification, doubling its reliability. When t>τ, The value increases linearly with increasing t, reflecting the physical law that the longer the stabilization time, the higher the data reliability; while the final calibration result calculation formula is essentially a "weighted average", but the weights are determined by the stability characteristics of the data itself: the measurement value with a longer stabilization time ( Larger values ​​account for a higher proportion of the total and have a greater impact on the final result; measurements with shorter stability periods ( The proportion of small particles is even lower, reducing the interference of potential instantaneous errors on the results.

[0081] Existing calibration techniques have significant limitations in how they process measured values ​​after stabilization:

[0082] Simple arithmetic mean method: Treat all stabilized measurements as equally reliable (equivalent to...) The traditional method completely ignores the physical property that the longer the stability period, the more reliable the data, resulting in the same impact of instantaneous fluctuations and long-term stable data on the results. This formula, however, improves upon the traditional method by dynamically quantifying data reliability.

[0083] Improve calibration accuracy: Automatically assign higher contribution to data with longer stable holding time, filter out unreliable information caused by instantaneous fluctuations, and make the final result closer to the instrument's true output characteristics;

[0084] No manual weight setting is required. The calculation relies solely on the instrument's inherent parameter τ and the measured stable holding time t, thus avoiding errors caused by subjective human factors.

[0085] According to one embodiment of the present invention, a metrological testing and calibration system includes:

[0086] Intelligent calibration point planning module: determines multiple calibration points for the instrument to be calibrated;

[0087] Measurement sequence dynamic generation module: Generates a measurement sequence in a random order, the measurement sequence containing instructions to perform multiple cyclic measurements on the multiple calibration points;

[0088] Calibration source output control module: controls the calibration source to output to the instrument to be calibrated sequentially according to the measurement sequence;

[0089] Intelligent output value acquisition and recording module: At each calibration point in the measurement sequence, after the output stabilizes, the output value of the instrument to be calibrated is recorded;

[0090] Calibration data statistical analysis module: For each calibration point, statistical analysis is performed on the output values ​​recorded at each calibration point in all cycles to obtain the final calibration result for each calibration point.

[0091] The working principle and effect of the above technical solution are as follows: The intelligent calibration point planning module determines multiple calibration points covering key nodes of the instrument's measurement range and forms a complete calibration point group; the dynamic measurement sequence generation module uses a pseudo-random algorithm to rearrange the calibration points in a disordered manner, and combines the instrument stability parameters to set the number of cyclic measurements, generating a random sequence of multiple cyclic measurements to eliminate the implicit errors introduced by the traditional fixed measurement sequence; the calibration source output control module controls the calibration source to output accurately according to the measurement sequence, and ensures the reliability of the input signal through instruction synchronization and parameter pre-verification; the intelligent output value acquisition and recording module determines the dynamic waiting time based on the instrument's characteristic relaxation time, and records the data after the output stabilizes, balancing stability and efficiency; the calibration data statistical analysis module combines the stable holding time and relaxation characteristics of each measurement value, and calculates the final calibration result reflecting the true performance of the instrument through a statistical method of dynamically quantifying the contribution of data, achieving high-precision and high-efficiency metrological calibration.

[0092] This invention solves the problem that traditional fixed waiting times cannot adapt to the relaxation characteristics of instruments, easily leading to unstable data or low efficiency, by determining a dynamic waiting time based on the characteristic relaxation time of the instrument to be calibrated and recording data after the output stabilizes. This ensures that the instrument is sufficiently stable to improve data reliability and avoids redundant waiting time. At the same time, by combining the actual holding time after the output value stabilizes with the characteristic relaxation time of the instrument to be calibrated to calculate the equivalent effective number of times, the final calibration result is obtained by using a statistical method of dynamically quantifying the data contribution. This solves the problem that existing equal weighting or manual weighting methods are highly subjective and difficult to reflect the true reliability of the data, thus improving the accuracy and objectivity of the calibration results.

[0093] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A metrological testing and calibration method, characterized in that, The method includes: S1: Determine multiple calibration points for the instrument to be calibrated; S2: Generate a measurement sequence in a random order, the measurement sequence containing instructions to perform multiple cyclic measurements on the plurality of calibration points; S3: Control the calibration source to output to the instrument to be calibrated sequentially according to the measurement sequence; S4: At each calibration point in the measurement sequence, after the output stabilizes, record the output value of the instrument to be calibrated; S5: For each calibration point, perform statistical analysis on the output values ​​recorded at each calibration point in all cycles to obtain the final calibration result for each calibration point.

2. The metrological testing and calibration method according to claim 1, characterized in that, S1 specifically includes: Based on the rated measurement range of the instrument to be calibrated, calibration points are evenly divided along the range. The number of calibration points is not less than the minimum calibration point threshold and covers the start, middle and end points of the range of the instrument to be calibrated. All calibration points are integrated to form a complete calibration point group for the instrument to be calibrated.

3. The metrological testing and calibration method according to claim 1, characterized in that, S2 specifically includes: Each calibration point in the complete calibration point group is assigned a unique identification code. All identification codes are rearranged using a pseudo-random algorithm, and the rearranged codes satisfy the following conditions: each calibration point in the complete calibration point group appears only once in a single measurement subsequence, and the sorting positions of any two calibration points have no fixed correlation.

4. The metrological testing and calibration method according to claim 1, characterized in that, The measurement sequence in S2 includes instructions for performing multiple cyclic measurements on the plurality of calibration points, including the steps of setting the number of cyclic measurements and constructing a complete measurement sequence, specifically including: Obtain the stability parameters of the instrument to be calibrated, and classify the instrument's stability level according to the stability parameters. The smaller the stability parameter value, the higher the stability level, and the larger the stability parameter value, the lower the stability level. For different stability levels, set the corresponding number of cyclic measurements. Repeat the single measurement subsequence according to the set number of cyclic measurements, so that the number of times each calibration point in the complete calibration point group appears in the complete measurement sequence is consistent with the number of cyclic measurements, thus forming a complete measurement sequence.

5. The metrological testing and calibration method according to claim 1, characterized in that, The S3 control calibration source sequentially outputs the measurement sequence to the instrument to be calibrated, including a synchronization step between the calibration source and the measurement sequence, specifically including: Before starting the measurement sequence, an instruction communication link is established between the calibration source and the measurement sequence. When the measurement sequence outputs the output instruction for the current calibration point, the calibration source receives the instruction and sends back a confirmation signal. After the measurement sequence receives the confirmation signal, the calibration source then executes the output operation for the corresponding calibration point.

6. The metrological testing and calibration method according to claim 1, characterized in that, The S3 control calibration source outputs the measurement sequence sequentially to the instrument to be calibrated, including a parameter pre-verification step before the calibration source outputs the parameters. Specifically, this includes: For each calibration point in the measurement sequence, before controlling the output of the calibration source, the set value of the calibration point is retrieved and compared with the rated output range of the calibration source. If the set value of the calibration point is within the rated output range of the calibration source, the output operation is executed; if the set value of the calibration point exceeds the rated output range of the calibration source, the set value of the calibration point is adjusted, and then the output command of the measurement sequence is executed.

7. The metrological testing and calibration method according to claim 1, characterized in that, The step S4, after the output stabilizes, includes determining the dynamic waiting time based on the relaxation characteristics of the instrument to be calibrated, specifically including: The characteristic relaxation time τ of the instrument to be calibrated is obtained in advance. For each calibration point, after the calibration source completes the output switching, a dynamic waiting time is preset. The dynamic waiting time is determined based on the characteristic relaxation time τ. When the duration of the calibration source output reaches the dynamic waiting time, it is determined that the output of the instrument to be calibrated is stable.

8. The metrological testing and calibration method according to claim 1, characterized in that, The step S4, recording the output value of the instrument to be calibrated, includes the steps of output value acquisition and validity verification, specifically including: After determining that the output is stable by the dynamic waiting time, the output value of the instrument to be calibrated is collected; it is confirmed whether the fluctuation range of the output value within the preset time interval exceeds the output stability judgment standard. If the fluctuation range does not exceed the output stability judgment standard, the output value is recorded directly; if the fluctuation range exceeds the requirement, the dynamic waiting time is readjusted based on the characteristic relaxation time τ, and the output value is recorded after the fluctuation range of the output value meets the stability judgment standard.

9. The metrological testing and calibration method according to claim 1, characterized in that, S5 performs statistical analysis on the output values ​​recorded at each calibration point in all cycles, specifically including: For each measurement, the weighting coefficient of each output value is calculated based on the ratio of the actual holding time after the output value at the calibration point stabilizes to the characteristic relaxation time. The final calibration result of the calibration point is obtained by calculating each output value using the weighting coefficients.

10. A metrological testing and calibration system, characterized in that, The system includes: Intelligent calibration point planning module: determines multiple calibration points for the instrument to be calibrated; Measurement sequence dynamic generation module: generates a measurement sequence in a random order, the measurement sequence containing instructions to perform multiple cyclic measurements on the multiple calibration points; Calibration source output control module: controls the calibration source to output to the instrument to be calibrated sequentially according to the measurement sequence; Intelligent output value acquisition and recording module: At each calibration point in the measurement sequence, after the output stabilizes, the output value of the instrument to be calibrated is recorded; Calibration data statistical analysis module: For each calibration point, statistical analysis is performed on the output values ​​recorded at each calibration point in all cycles to obtain the final calibration result for each calibration point.

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