CN101334330A - Method for Measuring the Sensitivity of Electronic Manometers - Google Patents

Abstract

The method for measuring the sensitivity of an electronic manometer according to the present invention belongs to the technical field of electronic measurement. The method is as follows: select the pressure value of the full scale of the measurement pressure as the calibration pressure, and carry out the calibrated electronic manometer under normal temperature, high temperature and low temperature environment respectively. Dynamic calibration, under the condition that the three sets of standard pressure measurement systems and the calibrated electronic pressure gauges are all calibrated and valid, use the average pressure curve measured by the three sets of standard pressure measurement systems and the rising edge of the calibrated electronic pressure gauge test curve The sensitivity of the calibrated electronic manometer is obtained by data measurement. This method is simple to operate. It only needs to be calibrated three times at normal temperature, low temperature and high temperature, and the sensitivity coefficient of the electronic manometer under three temperature environments can be obtained 9 times in total. , compared with the existing measurement methods, this method shortens the calibration cycle, improves work efficiency, reduces test costs, reduces project costs, and the results are accurate and reliable. It is the result of innovative thinking. This metering electronic pressure gauge The method of sensitivity is worth adopting and promoting in this industry.

Description

Method for Measuring the Sensitivity of Electronic Manometers

1. Technical field

The method for measuring the sensitivity of an electronic manometer disclosed by the invention belongs to the technical field of electronic measurement, and specifically relates to a method for measuring the sensitivity of an electronic manometer by using the rising edge data of a pressure curve.

2. Background technology

The electronic pressure gauge is suitable for automatically measuring the gun bore pressure curve during the firing process of medium and large caliber guns and ammunition, so as to obtain the internal ballistic parameters of the gun. It has the advantages of high precision and convenient use. In order to ensure the test accuracy of the electronic pressure gauge, it must undergo strict dynamic calibration before leaving the factory. The principle of dynamic calibration is to place the calibrated electronic pressure gauge in the dynamic calibration device before calibration. The dynamic calibration device is equipped with three standard pressure sensors that have been calibrated with traceability of dynamic characteristics. The standard sensor is the 6213BK standard 1000MPa of the Swiss Kistler company. Piezoelectric crystal high-voltage sensors, standard pressure sensors are adapted and amplified by charge amplifiers, and then recorded by the data acquisition and processing system. During calibration, gunpowder is used to generate a high temperature and high pressure environment equivalent to the gun bore pressure, and the generated transient high pressure signal acts on the standard pressure sensor and the calibrated electronic pressure gauge at the same time. The standard sensor and the electronic manometer collect signals at the same time. After the signal is recorded, the computer reads out the manometer data, and performs data processing with the data measured by the standard pressure sensor (as the true value of the calibration system) to obtain the calibrated electronic manometer. Sensitivity coefficient of the device. According to the gas state equation, when the pressure generated by the combustion of gunpowder is equal, its temperature is also equal. Therefore, the amplitude sensitivity, dynamic error, and waveform correlation coefficient obtained through comparison can more accurately reflect the high temperature and high pressure in the electronic pressure gauge. The dynamic characteristics of the environment. In this way, the electronic pressure gauge is equivalent to having been calibrated in the environment of the actual firing chamber of the artillery, which can ensure the accuracy of the tested chamber pressure curve. Before the electronic manometer is calibrated, it must be kept at low temperature (-40°C), high temperature (+55°C) and normal temperature (+20°C) for 48 hours according to the national military standard, and then calibrate its low temperature and high temperature in the dynamic calibration device And the system sensitivity at room temperature avoids the impact of ambient temperature changes on the performance of electronic pressure gauges. Before leaving the factory, the electronic manometer must go through dynamic calibration tests at least 12 times at low temperature, 12 times at high temperature, and 12 times at normal temperature. Under each temperature environment, 4 to 5 calibration pressure values are evenly selected within the measuring range of the manometer and carried out 3 times. Cyclic calibration, recording the arithmetic mean y _i of the peak pressure measured by the standard system in each calibration test, and the maximum bit value x _i measured by the manometer, and performing linear regression analysis on the test data at normal temperature, high temperature and low temperature respectively, and the model As y=bx+a (y is the standard system peak pressure arithmetic mean value: MPa, x is the bit value of the electronic manometer: bit), the sensitivity coefficients b and a of the electronic manometer under different temperature environments are calculated.

The current state of the art in this field is: each electronic manometer will be calibrated at least 36 times before leaving the factory. If the electronic manometer and data acquisition system reliability problems occur in the calibration process, the calibration data is invalid and needs to be recalibrated. Normal temperature, high temperature and low temperature may require additional calibration times. The dynamic calibration cycle of the electronic pressure gauge is very long, and it takes a lot of manpower, material resources and financial resources. In order to improve the above problems, we propose a method of measuring the sensitivity of the electronic manometer by using the rising edge data of the pressure curve. This method is simple to operate, saves time and effort, and the result is accurate and reliable. This technology has been applied to the dynamic calibration of electronic manometers in a certain base. The calibrated electronic manometers have been tested for multiple guns (bullets) in a shooting range and a shooting range of a base. The test data proves that using this technology to calibrate The reliability and test accuracy of the final electronic pressure gauge can meet the test requirements. Accurate and reliable test data provide an important basis for the development and production acceptance of conventional weapons.

3. Contents of the invention

The purpose of the present invention is to provide the society with the method of measuring the sensitivity of the electronic manometer using the rising edge data of the pressure curve. Since the calibration pressure value of this method is close to or reaches the full scale of the manometer, only normal temperature, low temperature and high temperature are required. Calibrate 3 times, a total of 9 times, and you can get the sensitivity coefficients of the electronic manometer under the three temperature environments. Practice has shown that this method is simple to operate, saves time and effort, and the results are accurate and reliable.

The technical scheme of the present invention is as follows: the method for measuring the sensitivity of the electronic manometer is characterized in that: the method described is a method for measuring the sensitivity of the electronic manometer by using the rising edge data of the pressure curve, and the method is: select The electronic manometer measures the pressure value of the full scale of the pressure as the calibration pressure. For example, the calibration pressure range selects a pressure value between 100% and 110% of the full scale of the pressure measured by the electronic manometer. The calibrated electronic manometers were dynamically calibrated at normal temperature, high temperature and low temperature respectively. When the three standard manometry systems and the calibrated electronic manometers were all calibrated and valid, the three standard manometry systems were used to The measured average pressure curve and the rising edge data of the calibrated electronic manometer test curve yield the sensitivity of the calibrated electronic manometer. Practice has shown that this method saves time and effort, and the results are accurate and reliable.

According to the method for measuring the sensitivity of the electronic manometer described above, the technical features are as follows: the data collected by the three sets of standard manometer systems are first digitally filtered with a 30kHz cut-off frequency, for example, the charge amplifier uses a 200kHz upper limit cut-off frequency to filter remove the effects of random noise. Then, the collected data of the three sets of standard pressure measurement systems are statically calibrated according to the linear regression equation:

y _i =a _i +b _i x

Among them: choose y as the voltage, the unit is mv, a _i and x are the pressure, the unit is MPa, and the constants a _i and b _i are the known quantities, and they are processed separately to obtain three sets of pressure measurement system pressure curves x ₁ , x ₂ , x ₃ and the corresponding peak pressures x _1max , x _2max , x _3max , measure the correlation coefficients ρ ₁₂ , ρ ₁₃ , and ρ ₂₃ among the three sets of standard pressure measurement systems, if the correlation coefficients between the three sets of test systems ρ _ij ≥ 0.9997, the calibration is valid and the calibration data is used. ρ _ij is the abbreviation of correlation coefficients ρ ₁₂ , ρ ₁₃ , and ρ ₂₃ .

According to the method for measuring the sensitivity of the electronic manometer described above, the technical features are: calculate the correlation coefficient ρ _ij between the three standard manometry systems, namely ρ ₁₂ , ρ ₁₃ , and ρ ₂₃ , according to the following formula:

${\mathrm{<span\; class="notranslate">\; \&rho;</span>}}_{\mathrm{<span\; class="notranslate">\; 12</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&tau;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\frac{{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}}{{<span\; class="notranslate">\; [</span>{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}<span\; class="notranslate">\; ]</span>}^{\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}}}}$

${\mathrm{<span\; class="notranslate">\; \&rho;</span>}}_{\mathrm{<span\; class="notranslate">\; 13</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&tau;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\frac{{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}}{{<span\; class="notranslate">\; [</span>{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}<span\; class="notranslate">\; ]</span>}^{\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}}}}$

${\mathrm{<span\; class="notranslate">\; \&rho;</span>}}_{\mathrm{<span\; class="notranslate">\; twenty\; three</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&tau;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\frac{{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}}{{<span\; class="notranslate">\; [</span>{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}<span\; class="notranslate">\; ]</span>}^{\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}}}}$

In the three formulas: t is time, and the integral is from +∞ to -∞; x ₁ (t) is the pressure curve of the first set of standard manometric system, x ₂ (t) is the pressure curve of the second set of standard manometric system, x ₃ (t) is the pressure curve of the third set of standard pressure measurement system.

，选取

作为标准系统平均值的误差，三套标准系统约定以 $2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}\&le;0.66\%\mathrm{FS}$ 作为标准系统的误差判定原则，如果 $2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}>0.66\%\mathrm{FS}$ ，则判定此次校准数据不符合作为校准系统的要求并予以剔除。所述的FS即FullScale。所述的算术平均值、残差、残差平方和、标准偏差估计值、算术平均值标准偏差估计值

等都是公知的数学规定，这里不作多述。According to the above-mentioned method for measuring the sensitivity of electronic manometers, the technical features also include: measuring the arithmetic mean value, residual error, residual square sum, standard deviation estimate, and arithmetic mean standard deviation estimate of the pressure values of the three sets of test systems value

, select

As the error of the mean value of the standard system, the three sets of standard systems agree to $2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}\&le;0.66\%\mathrm{FS}$ As the error judgment principle of the standard system, if $2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}>0.66\%\mathrm{FS}$ , it is determined that the calibration data does not meet the requirements of the calibration system and will be rejected. The FS mentioned is FullScale. Arithmetic mean, residual, residual sum of squares, standard deviation estimate, arithmetic mean standard deviation estimate

etc. are all well-known mathematical regulations, and will not be described here.

According to the above-mentioned method for measuring the sensitivity of the electronic manometer, the technical characteristics are as follows: the data collected by the calibrated electronic manometry test is firstly processed by digital filtering with a cut-off frequency of 30kHz, and then the calibrated electronic manometry The data collected by the instrument is processed to obtain the test curve yy _i , the standard system average pressure curve y _i does not move, and the test curve yy _i of the electronic manometer is translated, one data point is translated each time, and the average pressure curve of the standard manometer system is calibrated The correlation coefficient between the test curves of the electronic manometer is shifted by n data points (n is selected as a positive integer above Arabic numeral 1), so that the average pressure curve of the standard system matches the rising edge of the test curve of the electronic manometer best. The correlation coefficient sequence ρ _j is obtained, and then the maximum value ρ _jmax in ρ _j is obtained, and the maximum value ρ _jmax is used as the correlation coefficient between the average pressure curve of the standard pressure measurement system and the calibrated electronic pressure gauge test curve. If the correlation coefficient ρ _jmax ≥ 0.9997, then this calibration is valid and the calibration data is used.

According to the method for measuring the sensitivity of the electronic manometer described above, the technical characteristics also have: according to the following formula:

${\mathrm{\&rho;}}_j\left(\mathrm{\&tau;}\right)=\frac{{\&Integral;}_{-\&infin;}^{\&infin;}\mathrm{yy}(t+j)\stackrel{\&OverBar;}{\mathrm{the\; y}}\left(t\right)\mathrm{dt}}{{[{\&Integral;}_{-\&infin;}^{\&infin;}{\stackrel{\&OverBar;}{\mathrm{the\; y}}}^2\left(t\right)dt{\&Integral;}_{-\&infin;}^{\&infin;}{\mathrm{yy}}^2(t+j)\mathrm{dt}]}^{\frac{1}{2}}},$ In this formula: j=0～n (n selects Arabic numeral 1

The above positive integers), yy(t+j) is the test curve of the electronic manometer after shifting point j, y _i (t) is the average pressure curve of the standard manometry system, the average pressure curve y _i of the standard manometry system and the measured The correlation coefficient sequence ρ _j between the calibrated electronic manometer test curves yy _i , take the maximum value ρ _jmax in ρ _j as the correlation between the average pressure curve of the standard manometer system and the calibrated electronic manometer test curve coefficient, if the correlation coefficient between the average pressure curve _{y i of} the standard pressure measuring system and the calibrated electronic manometer test curve yy _i is the largest after the electronic manometer test curve yy i is translated by j points, then the pressure curve y _i is selected The rising edge and the rising edge data of the test curve yy _i+j measure the sensitivity of the electronic manometer.

According to the above-mentioned method for measuring the sensitivity of the electronic manometer, the technical features also include: under the premise that the three sets of standard manometer systems and the calibration of the calibrated manometer are valid, the average pressure curve y _i of the standard pressure test system According to the range of 15-100% of the peak pressure, n (choice: n > 200 positive integers of Arabic numerals) data points are selected to form a data sequence y(i), i=1-n; The rising edge of the test curve yy _i+j of the manometer takes n (selection: n > 200 positive integers of Arabic numerals) data points to form a data sequence x(i), i=1~n; for two sets of data Carry out linear fitting of x(i) and y(i). For example, the least square method is used for linear fitting to obtain the working straight line equation y _ik =a _ik +b _ik x, where: y _ik is pressure, unit: MPa , a _ik is the intercept, unit: MPa, b _ik is the sensitivity, unit: MPa/LSB, x is the LSB value, the LSB is the Least Significant Bit, i is the calibration temperature environment, k is each calibration temperature environment the number of trials.

According to the above-mentioned method for measuring the sensitivity of the electronic manometer, the technical characteristics also include: the electronic manometer is calibrated three times under the normal, high and low temperature environments, respectively, and the three values under each temperature environment are respectively obtained. A set of working straight line equations, a _ik and b _ik of the three sets of equations under the same temperature environment are averaged to obtain a _i and b _i , and then the working straight line equation y _i = a _i +b _i ·x, a _i and b _i are the sensitivity of the calibrated electronic pressure gauge under the temperature environment.

Advantages of the present invention have: 1. The method for measuring the sensitivity of the electronic manometer is to select the pressure value of the full-scale pressure measured by the electronic manometer as the calibration pressure, such as the selection of the calibration pressure range between the full-scale pressure measured by the electronic manometer For the pressure value between 100% and 110%, it only needs to be calibrated 3 times at normal temperature, low temperature and high temperature respectively, a total of 9 times, and the sensitivity coefficients of the electronic manometer under the three temperature environments can be obtained; 2. Compared with the existing technology Compared with the measurement method, this method reduces the calibration workload by 75%, greatly shortens the calibration cycle, improves work efficiency, reduces test costs, reduces project costs, and ensures the accuracy of the electronic pressure gauge; 3. In terms of testing technology, this method is a method of measuring the sensitivity of the electronic manometer by using the rising edge data of the pressure curve. It is easy to operate and the result is accurate and reliable. It is an innovative invention. The method for measuring the sensitivity of the electronic manometer of the present invention is worth adopting and popularizing.

4. Description of drawings

The accompanying drawings of the present invention have a total of 1:

Figure 1 is a flow block diagram of a method for measuring the sensitivity of an electronic manometer.

等； $8.2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}\&le;0.66\%\mathrm{FS}$ 吗？；9.电子测压器的数据进行数字滤波，再进行处理，得到电子测压器测试曲线yy_i；10.计量标准测压系统平均压力曲线y_i和被校准的电子测压器测试曲线yy_i之间的相关系数序列ρ_j，得到最大值ρ_jmax；若压力曲线y_i和被校准的测试曲线yy_i+j之间的相关系数最大，则选取压力曲线y_i的上升沿和测试曲线yy_i+j的上升沿数据计量电子测压器灵敏度；11.ρ_jmax≥0.9997吗？；12.在压力曲线y_i的上升沿按峰值压力的15～100％范围取n个(选择：n＞200以上的阿拉伯数字正整数)数据点，构成数据序列y(i)，i＝1～n；相对应的在电子测压器的测试曲线yy_i+j上升沿取n个(选择：n＞200以上的阿拉伯数字正整数)数据点，构成数据序列x(i)，i＝1～n；对两组数据x(i)、y(i)进行线性拟合，得出工作直线方程y_ik＝a_ik+b_ik·x，并得出电子测压器的灵敏度系数b和a；13.在三种温度环境下是否有三组灵敏度系数b和a？；14.求三种温度环境下的灵敏度系数平均值a_i和b_i；15结束。In Figure 1: 1. Start; 2. The electronic manometer is kept at constant, high, or low temperature for 48 hours; 3. The electronic manometer is calibrated in the calibration device according to the measured full-scale pressure value; 4. Three sets of standards The data of the pressure measurement system is digitally filtered, and then processed separately to obtain the pressure curve x _i and peak pressure x _imax ; 5. Measure the correlation coefficient ρ _ij among the three standard pressure measurement systems; 6. Is ρ _ij ≥ 0.9997? ; 7. Measure the arithmetic mean, residual, sum of squared residuals, estimated standard deviation, and estimated arithmetic mean standard deviation of the pressure values of the three sets of test systems

wait; $8.2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}\&le;0.66\%\mathrm{FS}$ ? ; 9. The data of the electronic manometer is digitally filtered, and then processed to obtain the test curve yy _i of the electronic manometer; 10. The average pressure curve y _i of the measurement standard manometer system and the calibrated test curve yy of the electronic manometer The correlation coefficient sequence ρ _j between _i can get the maximum value ρ _jmax ; if the correlation coefficient between the pressure curve y _i and the calibrated test curve yy _i+j is the largest, then select the rising edge of the pressure curve y _i and the test curve The rising edge data of yy _i+j measures the sensitivity of the electronic manometer; 11. Is ρ _jmax ≥ 0.9997? ; 12. On the rising edge of the pressure curve y _i , get n data points (selection: n > 200 or more positive integers of Arabic numerals) according to the range of 15 to 100% of the peak pressure, to form a data sequence y (i), i=1 ~n; Correspondingly, take n data points (selection: positive integers of Arabic numerals above n>200) on the rising edge of the test curve yy _i+j of the electronic manometer to form a data sequence x(i), i=1 ~n; Carry out linear fitting on the two sets of data x(i) and y(i), obtain the working straight line equation y _ik =a _ik +b _ik x, and obtain the sensitivity coefficients b and a of the electronic manometer ; 13. Are there three sets of sensitivity coefficients b and a in three temperature environments? ; 14. Calculate the average values of sensitivity coefficients a _i and b _i under the three temperature environments; 15 end.

V. Specific implementation plan

Non-limiting examples of the invention are as follows:

Embodiment 1. Method for Measuring the Sensitivity of an Electronic Manometer

The method for measuring the sensitivity of the electronic manometer described in this example is to use the rising edge data of the pressure curve to measure the sensitivity of the electronic manometer. In summary, the method is: select the pressure value of the full scale of the pressure measured by the electronic manometer as the calibration pressure, For example, select a pressure value between 100% and 110% of the full scale of the pressure measured by the electronic manometer for calibration of the pressure range. The calibrated electronic manometers were dynamically calibrated at normal temperature, high temperature and low temperature respectively. When the three standard manometry systems and the calibrated electronic manometers were all calibrated and valid, the three standard manometry systems were used to The measured average pressure curve and the rising edge data of the calibrated electronic manometer test curve yield the sensitivity of the calibrated electronic manometer. Practice has shown that this method saves time and effort, and the results are accurate and reliable. Fig. 1 shows the flow block diagram of this measurement electronic manometer sensitivity method: 1 is to start; 2 is to select to carry out dynamic calibration to the calibrated electronic manometer under normal temperature, or high temperature, or low temperature environment, select each in turn The electronic manometer is kept warm for 48 hours at different temperatures; 3 is that the electronic manometer is calibrated in the calibration device according to the measured full-scale pressure value; 4 is that the collected data of the three sets of standard manometer systems are first digitally filtered, and the Digital filtering is to first use 30kHz cut-off frequency to digitally filter the collected data of the three standard pressure measurement systems. For example, the charge amplifier uses a 200kHz upper limit cut-off frequency to filter out the influence of random noise. Then, the collected data of the three sets of standard pressure measurement systems are statically calibrated according to the linear regression equation:

y _i =a _i +b _i x

Among them: select y as the voltage, the unit is mv, a _i and x are the pressure, the unit is MPa, and the constants a _i and b _i are known quantities, and then they are processed separately to obtain three sets of pressure measurement system pressure curves x ₁ , x ₂ , x ₃ and the corresponding peak pressure x _1max , x _2max , x _3max , that is, the pressure curve x _i and the peak pressure x _imax are obtained; 5 is the correlation coefficient ρ _ij between the three sets of standard pressure measurement systems, that is, the measurement _The correlation coefficients ρ ₁₂ , ρ ₁₃ , and ρ ₂₃ among _the pressure _measurement systems _are calculated according to the following formula:

${\mathrm{<span\; class="notranslate">\; \&rho;</span>}}_{\mathrm{<span\; class="notranslate">\; 12</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&tau;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span><span\; class="notranslate">\; -</span>\frac{{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}}{{<span\; class="notranslate">\; [</span>{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}<span\; class="notranslate">\; ]</span>}^{\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}}}}$

${\mathrm{<span\; class="notranslate">\; \&rho;</span>}}_{\mathrm{<span\; class="notranslate">\; 13</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&tau;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\frac{{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}}{{<span\; class="notranslate">\; [</span>{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}<span\; class="notranslate">\; ]</span>}^{\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}}}}$

${\mathrm{<span\; class="notranslate">\; \&rho;</span>}}_{\mathrm{<span\; class="notranslate">\; twenty\; three</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&tau;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\frac{{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}}{{<span\; class="notranslate">\; [</span>{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}{<span\; class="notranslate">\; \&Integral;</span>}_{<span\; class="notranslate">\; -</span><span\; class="notranslate">\; \&infin;</span>}^{<span\; class="notranslate">\; \&infin;</span>}{{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; )</span>\mathrm{<span\; class="notranslate">\; dt</span>}<span\; class="notranslate">\; ]</span>}^{\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}}}}$

等，选取

作为标准系统平均值的误差，三套标准系统约定以 $2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}\&le;0.66\%\mathrm{FS}$ 作为标准系统的误差判定原则；8为判断 $2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{X}}\&le;0.66\%\mathrm{FS}$ 吗？所述的FS即Full Scale。如果 $2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}\&le;0.66\%\mathrm{FS},$ 继续进行9步骤。若 $2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}>0.66\%\mathrm{FS},$ 则判定此次校准数据不符合作为校准系统的要求并予以剔除，须重做2-8步骤；9为对电子测压器的采集数据首先采用30kHz截止频率进行数字滤波处理，然后再对被校准的电子测压器采集数据进行处理，得到电子测压器测试曲线yy_i；10为计量标准测压系统平均压力曲线y_i和被校准的电子测压器测试曲线yy_i之间的相关系数序列ρ_j：根据下述公式： ${\mathrm{\&rho;}}_j\left(\mathrm{\&tau;}\right)=\frac{{\&Integral;}_{-\&infin;}^{\&infin;}\mathrm{yy}(t+j)\stackrel{\&OverBar;}{y}\left(t\right)\mathrm{dt}}{{[{\&Integral;}_{-\&infin;}^{\&infin;}{\stackrel{\&OverBar;}{y}}^2\left(t\right)dt{\&Integral;}_{-\&infin;}^{\&infin;}{\mathrm{yy}}^2(t+j)\mathrm{dt}]}^{\frac{1}{2}}},$ 在该公式中：j＝0～n(n选择阿拉伯数字1以上正整数)，yy(t+j)为平移j点后的电子测压器测试曲线，y_i(t)为标准测压系统平均压力曲线，计量标准测压系统平均压力曲线y_i和被校准的电子测压器测试曲线yy_i之间的相关系数序列ρ_j，取ρ_j中的最大值ρ_jmax作为标准测压系统平均压力曲线和被校准的电子测压器测试曲线之间的相关系数，若电子测压器测试曲线yy_i平移j点后标准测压系统平均压力曲线y_i和被校准的电子测压器测试曲线yy_i之间的相关系数最大，则选取压力曲线y_i的上升沿和测试曲线yy_i+j的上升沿数据计量电子测压器灵敏度；三套标准系统平均压力曲线y_i不动，平移电子测压器曲线yy_i，每次平移一个数据点，计量标准测压系统平均压力曲线和被校准的电子测压器测试曲线之间的相关系数，平移n(n选择阿拉伯数字1以上正整数)个数据点，达到标准系统平均压力曲线与电子测压器测试曲线上升沿吻合程度最好，求出相关系数序列ρ_j，再求出ρ_j中的最大值ρ_jmax，以此最大值ρ_jmax作为标准测压系统平均压力曲线和被校准的电子测压器测试曲线之间的相关系数；11为判断：ρ_jmax≥0.9997吗？选取此相关系数ρ_jmax≥0.9997，则本次校准有效并采用本次校准数据，继续进行12步骤。否则重做2-11步骤；12步：若压力曲线y_i和被校准的测试曲线yy_i+j之间的相关系数最大，则选取压力曲线y_i的上升沿和测试曲线yy_i+j的上升沿数据计量电子测压器灵敏度。在压力曲线y_i的上升沿按峰值压力的15～100％范围取n个(选择n＝＝201)数据点，构成数据序列y(i)，i＝1～n；相对应的在电子测压器的测试曲线yy_i+j上升沿取n个(选择n＝＝201)数据点，构成数据序列x(i)，i＝1～n；对两组数据x(i)、y(i)进行线性拟合，如采用最小二乘法进行线性拟合，得出工作直线方程y_ik＝a_ik+b_ik·x，式中：y_ik为压力，单位：MPa，a_ik为截距，单位：MPa，b_ik为灵敏度，单位：MPa/LSB，x为LSB值，所述的LSB即Least Significant Bit，i为校准温度环境，k为每种校准温度环境下的试验次数，得出电子测压器的灵敏度系数b和a；13步：在三种温度环境下是否有三组灵敏度系数b和a？在常、高、低三种温度环境下分别对电子测压器校准三次，每种温度环境下分别得出三组工作直线方程，对同一温度环境下的三组方程的a_ik和b_ik分别取平均得到a_i和b_i，可得到被校准测压器的三种温度环境下的工作直线方程y_i＝a_i+b_i·x，a_i和b_i即为该温度环境下被校准的电子测压器的灵敏度；如果在每种温度环境下有三组灵敏度系数b和a，重复2-14步骤，完成三种温度环境下计量该电子测压器灵敏度；14步：求三种温度环境下的灵敏度系数(平均值)a_i和b_i；15步：结束。In the three formulas: t is time, and the integral is from +∞ to -∞; x ₁ (t) is the first set of standard pressure measurement system, x ₂ (t) is the pressure curve of the second set of standard pressure measurement system, x ₃ ( t) is the pressure curve of the third set of standard pressure measurement system; 6 is to judge whether ρ _ij ≥ 0.9997? If the correlation coefficient ρ _ij ≥ 0.9997 among the three test systems, the calibration is valid and the calibration data is used, and proceed to step 7. Otherwise, redo steps 2-6; 7 is the arithmetic mean, residual, sum of squared residuals, estimated standard deviation, and estimated arithmetic mean standard deviation of the pressure values of the three sets of test systems.

wait, select

As the error of the mean value of the standard system, the three sets of standard systems agree to $2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}\&le;0.66\%\mathrm{FS}$ As the error judgment principle of the standard system; 8 is judgment $2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}\&le;0.66\%\mathrm{FS}$ ? The FS mentioned above is Full Scale. if $2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}\&le;0.66\%\mathrm{FS},$ Proceed to step 9. like $2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}>0.66\%\mathrm{FS},$ If it is judged that the calibration data does not meet the requirements of the calibration system and be rejected, steps 2-8 must be repeated; 9 is to digitally filter the collected data of the electronic pressure gauge with a cut-off frequency of 30kHz first, and then perform digital filtering on the calibrated The data collected by the electronic manometer is processed to obtain the test curve yy _i of the electronic manometer; 10 is the correlation coefficient sequence between the average pressure curve y _i of the measurement standard manometer system and the calibrated test curve yy _i of the electronic manometer ρ _j : according to the following formula: ${\mathrm{\&rho;}}_j\left(\mathrm{\&tau;}\right)=\frac{{\&Integral;}_{-\&infin;}^{\&infin;}\mathrm{yy}(t+j)\stackrel{\&OverBar;}{\mathrm{the\; y}}\left(t\right)\mathrm{dt}}{{[{\&Integral;}_{-\&infin;}^{\&infin;}{\stackrel{\&OverBar;}{\mathrm{the\; y}}}^2\left(t\right)dt{\&Integral;}_{-\&infin;}^{\&infin;}{\mathrm{yy}}^2(t+j)\mathrm{dt}]}^{\frac{1}{2}}},$ In this formula: j=0~n (n is a positive integer above Arabic numeral 1), yy(t+j) is the test curve of the electronic manometer after shifting point j, and y _i (t) is the standard manometer system The average pressure curve is the correlation coefficient sequence ρ _j between the average pressure curve y _i of the standard pressure measurement system and the calibrated electronic pressure gauge test curve yy _i , and the maximum value ρ _jmax in ρ _j is taken as the average value of the standard pressure measurement system The correlation coefficient between the pressure curve and the calibrated electronic manometer test curve, if the electronic manometer test curve yy _i translates j points, the average pressure curve y _i of the standard manometer system and the calibrated electronic manometer test curve If the correlation coefficient between yy _i is the largest, the rising edge of the pressure curve y _i and the rising edge of the test curve yy _{i+j are} selected to measure the sensitivity of the electronic manometer; Manometer curve yy _i , one data point is shifted each time, and the correlation coefficient between the average pressure curve of the standard manometer system and the calibrated electronic manometer test curve is shifted by n (n selects a positive integer above Arabic numeral 1) data points, to achieve the best agreement between the standard system average pressure curve and the rising edge of the electronic pressure gauge test curve, calculate the correlation coefficient sequence ρ _j , and then calculate the maximum value ρ _jmax in ρ _j , and use this maximum value ρ _jmax As the correlation coefficient between the average pressure curve of the standard pressure measurement system and the calibrated electronic pressure gauge test curve; 11 is the judgment: Is ρ _jmax ≥ 0.9997? If the correlation coefficient ρ _jmax ≥ 0.9997 is selected, the calibration is valid and the calibration data is used, and the 12th step is continued. Otherwise, repeat steps 2-11; Step 12: If the correlation coefficient between the pressure curve y _i and the calibrated test curve yy _i+j is the largest, then select the rising edge of the pressure curve _{y i} and the test curve yy _i+j Rising edge data gauge electronic manometer sensitivity. On the rising edge of the pressure curve y _i , take n data points (select n==201) according to the range of 15-100% of the peak pressure to form a data sequence y(i), i=1-n; Take n (choose n==201) data points on the rising edge of the test curve yy _i+j of the voltage regulator to form a data sequence x(i), i=1～n; for two groups of data x(i), y(i ) to carry out linear fitting, such as adopting the method of least squares to carry out linear fitting, draw the working straight line equation y _ik =a _ik +b _ik x, in the formula: y _ik is pressure, unit: MPa, a _ik is the intercept, Unit: MPa, bi _ik is the sensitivity, unit: MPa/LSB, x is the LSB value, the LSB is the Least Significant Bit, i is the calibration temperature environment, k is the number of tests in each calibration temperature environment, and the electron Sensitivity coefficients b and a of the manometer; Step 13: Are there three sets of sensitivity coefficients b and a in three temperature environments? The electronic manometer was calibrated three times under normal, high and low temperature environments, and three sets of working straight line equations were obtained under each temperature environment. The _aik and _bik of the three sets of equations under the same temperature environment were respectively Taking the average to get a _i and b _i , the working straight line equation y _i = a _i + _bi x in the three temperature environments of the calibrated pressure gauge can be obtained, and a _i and b _i are calibrated under the temperature environment The sensitivity of the electronic manometer; if there are three sets of sensitivity coefficients b and a in each temperature environment, repeat steps 2-14 to complete the measurement of the sensitivity of the electronic manometer under the three temperature environments; step 14: Find the three temperatures Sensitivity coefficients (mean values) a _i and b _i under the environment; step 15: end.

Embodiment 2. Method for Measuring the Sensitivity of an Electronic Manometer

The method for measuring the sensitivity of the electronic manometer described in this example is to use the average pressure curve measured by three sets of standard manometer systems and the rising edge data of the calibrated manometer test curve to obtain the calibrated manometer sensitivity. The method specific steps of this example are the steps of the flow chart of the metering electronic manometer sensitivity method shown in Figure 1, and the method and embodiment one difference of this example metering electronic manometer sensitivity have: 1. in 12 steps: Get n data points in the range of 15-100% of the peak pressure on the rising edge of the pressure curve _yi (choose an odd number of 300>n>200, such as selecting n==203, 205, ..., 297, 299, etc.) data points, the same Take n data points (choose an odd number of 300>n>200, such as choosing n==203, 205, . . . , 297, 299, etc.) on the rising edge of the test curve yy _i+j . All the rest of the method for measuring the sensitivity of the electronic manometer in this example are the same as those described in Embodiment 1 and will not be repeated.

Embodiment three. The method for measuring the sensitivity of the electronic manometer

The method for measuring the sensitivity of the electronic manometer described in this example is to use the average pressure curve measured by three sets of standard manometer systems and the rising edge data of the calibrated manometer test curve to obtain the calibrated manometer sensitivity. The specific steps of the method of this example are the steps of the flow chart of the metering electronic manometer sensitivity method shown in Figure 1, and the method of this example metering electronic manometer sensitivity has different points from embodiment one and embodiment two: 1. In the 12th step: select n according to the range of 15-100% of the peak pressure on the rising edge of the pressure curve _yi (choose an even number of 300>n>200, such as selecting n==202, 204, ..., 296, 298, etc.) Data points, also take n data points (choose an even number of 300>n>200, such as choosing n==202, 204, ..., 296, 298, etc.) on the rising edge of the test curve yy _i+j . All the rest of the method for measuring the sensitivity of the electronic manometer in this example are the same as those described in Embodiment 1 and Embodiment 2, and will not be repeated.

Embodiment 4. The method for measuring the sensitivity of the electronic manometer

The method for measuring the sensitivity of the electronic manometer described in this example is to use the average pressure curve measured by three sets of standard manometer systems and the rising edge data of the calibrated manometer test curve to obtain the calibrated manometer sensitivity. The specific steps of the method of this example are the steps of the flow chart of the metering electronic manometer sensitivity method shown in Figure 1, and the method of this example's metering electronic manometer sensitivity has different points from embodiment one to embodiment three: 1. In step 12: select n data points according to the range of 15 to 100% of the peak pressure on the rising edge of the pressure curve _yi (choose an integer of n>300, such as choosing n==301, 302, ..., 998, 999, etc.) data points , also take n data points (select an integer of n>300, such as selecting n==301, 302, . . . , 998, 999, etc.) on the rising edge of the test curve yy _i+j . The rest of the method for measuring the sensitivity of the electronic manometer in this example is the same as that described in Embodiment 1 to Embodiment 3, and will not be repeated.

Claims (9)

1. the method for a metering sensitivity of electronic pressure detector, be characterised in that: described this method is to utilize the method for rising edge data metering sensitivity of electronic pressure detector, this method is: the force value of selecting electric voltage detector gaging pressure full scale is as base measuring pressure, respectively at normal temperature, under high temperature and the low temperature environment electric voltage detector that is calibrated is carried out dynamic calibration, all calibrate under the effective situation sensitivity that utilizes three cover standard pressure measuring systems mean pressure curve that records and the electric voltage detector test curve rising edge data metering that is calibrated to draw the electric voltage detector that is calibrated with the electric voltage detector that is calibrated at three cover standard pressure measuring systems.

2. the method for metering sensitivity of electronic pressure detector according to claim 1 is characterised in that: to the image data of the three cover standard pressure measuring systems equation of linear regression by static calibration:

y _i＝a _i+b _ix

Wherein: y selects mv for use, a _i, x selects MPa for use, constant a _i, b _iBe known quantity, handle respectively, obtain three cover pressure measuring system pressure curve x ₁, x ₂, x ₃Surge pressure x with correspondence _1max, x _2max, x _3max, metering three cover standard pressure measuring system related coefficient ρ each other ₁₂, ρ ₁₃, ρ ₂₃, if three cover test macro related coefficient ρ to each other _Ij〉=0.9997, then this calibrates effectively and adopts this calibration data.

3. the method for metering sensitivity of electronic pressure detector according to claim 2 is characterised in that: calculate three cover standard pressure measuring system related coefficient ρ each other according to following formula _IjBe ρ ₁₂, ρ ₁₃, ρ ₂₃:

${\mathrm{\&rho;}}_{12}\left(\mathrm{\&tau;}\right)=\frac{{\&Integral;}_{-\&infin;}^{\&infin;}{x}_1\left(t\right)x_2\left(t\right)\mathrm{dt}}{{\left[{\&Integral;}_{-\&infin;}^{\&infin;}{x_2}^2\left(t\right)\mathrm{dt}{\&Integral;}_{-\&infin;}^{\&infin;}{x_1}^2\left(t\right)\mathrm{dt}\right]}^{\frac{1}{2}}}$

${\mathrm{\&rho;}}_{13}\left(\mathrm{\&tau;}\right)=\frac{{\&Integral;}_{-\&infin;}^{\&infin;}{x}_1\left(t\right)x_3\left(t\right)\mathrm{dt}}{{\left[{\&Integral;}_{-\&infin;}^{\&infin;}{x_3}^2\left(t\right)\mathrm{dt}{\&Integral;}_{-\&infin;}^{\&infin;}{x_1}^2\left(t\right)\mathrm{dt}\right]}^{\frac{1}{2}}}$

${\mathrm{\&rho;}}_{23}\left(\mathrm{\&tau;}\right)=\frac{{\&Integral;}_{-\&infin;}^{\&infin;}{x}_2\left(t\right)x_3\left(t\right)\mathrm{dt}}{{\left[{\&Integral;}_{-\&infin;}^{\&infin;}{x_3}^2\left(t\right)\mathrm{dt}{\&Integral;}_{-\&infin;}^{\&infin;}{x_2}^2\left(t\right)\mathrm{dt}\right]}^{\frac{1}{2}}}$

In three formulas: t is the time, integration from+∞～-∞; x ₁(t) be the 1st cover standard pressure measuring system pressure curve, x ₂(t) be the 2nd cover standard pressure measuring system pressure curve, x ₃(t) be the 3rd cover standard pressure measuring system pressure curve.

4. the method for metering sensitivity of electronic pressure detector according to claim 2 is characterised in that: arithmetic mean, residual error, residual sum of squares (RSS), standard deviation estimated value, the arithmetic mean standard deviation estimated value of metering three cover System Testing Pressure values

Choose As the error of modular system mean value, three cover modular systems agreements with $2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}\&le;0.66\%\mathrm{FS}$ As the error decision principle of modular system, if $2{\widehat{\mathrm{\&sigma;}}}_{\stackrel{\&OverBar;}{x}}>0.66\%\mathrm{FS},$ Judge that then this calibration data does not meet as the requirement of calibration system and rejected.

5. the method for metering sensitivity of electronic pressure detector according to claim 1 is characterised in that: the electric voltage detector image data that is calibrated is handled, obtained test curve yy _i, modular system mean pressure curve y _iMotionless, translation electric voltage detector test curve yy _iEach data point of translation, related coefficient between measurement standard pressure measuring system mean pressure curve and the electric voltage detector test curve that is calibrated, a translation n data point, reach modular system mean pressure curve and electric voltage detector test curve rising edge degree of agreement is best, obtain related coefficient sequence ρ _j, obtain ρ again _jIn maximal value, as the related coefficient between standard pressure measuring system mean pressure curve and the electric voltage detector test curve that is calibrated, choose this related coefficient 〉=0.9997 with this maximal value, then this calibration effectively and adopt this calibration data.

6. the method for metering sensitivity of electronic pressure detector according to claim 5 is characterised in that: according to following formula:

${\mathrm{\&rho;}}_j\left(\mathrm{\&tau;}\right)=\frac{{\&Integral;}_{-\&infin;}^{\&infin;}\mathrm{yy}(t+j)\stackrel{\&OverBar;}{y}\left(t\right)\mathrm{dt}}{{\left[{\&Integral;}_{-\&infin;}^{\&infin;}{\stackrel{\&OverBar;}{y}}^2\left(t\right)\mathrm{dt}{\&Integral;}_{-\&infin;}^{\&infin;}{\mathrm{yy}}^2(t+j)\mathrm{dt}\right]}^{\frac{1}{2}}},$ In this formula: j=0～n, yy (t+j) the electric voltage detector test curve after for translation j point, y _i(t) be standard pressure measuring system mean pressure curve, measurement standard pressure measuring system mean pressure curve y _iWith the electric voltage detector test curve yy that is calibrated _iBetween related coefficient sequence ρ _j, get ρ _jIn maximal value as the related coefficient between standard pressure measuring system mean pressure curve and the electric voltage detector test curve that is calibrated, if electric voltage detector test curve yy _iTranslation j point back standard pressure measuring system mean pressure curve y _iWith the electric voltage detector test curve yy that is calibrated _iBetween the related coefficient maximum, then choose pressure curve y _iRising edge and test curve yy _I+jRising edge data metering sensitivity of electronic pressure detector.

7. according to the method for claim 2 or 5 described metering sensitivity of electronic pressure detector, be characterised in that:

A. the image data to three cover standard pressure measuring systems at first adopts the 30kHz cutoff frequency to carry out the digital filtering processing, and to filter the influence of random noise, the equation of linear regression by static calibration carries out data processing respectively more then;

B. at first adopt the 30kHz cutoff frequency to carry out digital filtering to the electric voltage detector image data that is calibrated and handle, and then continue calibration.

8. the method for metering sensitivity of electronic pressure detector according to claim 1 is characterised in that: calibrate under the effective prerequisite with the electric voltage detector that is calibrated at three cover standard pressure measuring systems, at normal pressure test macro mean pressure curve y _iRising edge get n data point by 15～100% scopes of surge pressure, composition data sequences y (i), i=1～n; Corresponding test curve yy at electric voltage detector _I+jRising edge get n data point, composition data sequence x (i), i=1～n; Two groups of data x (i), y (i) are carried out linear fit, draw work straight-line equation y _Ik=a _Ik+ b _IkX; In the formula: y _IkBe pressure, unit: MPa, a _IkBe intercept, unit: MPa, b _IkBe sensitivity, unit: MPa/LSB, x are the LSB value, and i is the base measuring temperature environment, and k is every kind of test number (TN) under the base measuring temperature environment.

9. the method for metering sensitivity of electronic pressure detector according to claim 1, be characterised in that: under normal, high and low three kinds of temperature environments, respectively electric voltage detector is calibrated three times, draw three groups of work straight-line equations under every kind of temperature environment respectively, to a of three set of equations under the same temperature environment _IkAnd b _IkBe averaged respectively and obtain a _iAnd a _i, just obtain being calibrated the work straight-line equation y under three kinds of temperature environments of manograph _i=a _i+ b _iX, a _iAnd b _iBe the sensitivity of the electric voltage detector that is calibrated under this temperature environment.

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