Rapid calibration and data correction method for static sounding probe

Abstract

The invention discloses a static sounding probe rapid calibration and data deviation rectification method, and relates to the technical field of data deviation rectification, and the method comprises the following steps: carrying out a primary static sounding test, and recording initial calibration data of a probe; performing comparative analysis on initial calibration data obtained in the initial static sounding test and theoretical data of a set standard to obtain an error range and a deviation type of the probe; according to the error range and the deviation type of the probe, a sensor of the static sounding probe is adjusted and calibrated; in the actual test process, static sounding test data are collected in real time and compared with a preset error tolerance range, whether the current data exceed the error range or not is judged, and if the current data exceed the error range, a data deviation correction algorithm is started; and after data correction, further correcting and adjusting the probe through a feedback mechanism and verifying whether the data before and after correction meet a predetermined standard, and if not, continuing to adjust.

Description

Technical Field

[0001] The present invention relates to the field of dynamic calibration technology, and more specifically, to a method for rapid calibration and data correction of a static penetration probe. Background Art

[0002] The static penetration test mainly uses quasi-static force to press the probe (with a sensor inside) into the soil at a uniform speed to obtain the penetration resistance of the soil layer, thereby determining the physical and mechanical properties of the soil. This method is an important in-situ test method in engineering geological exploration and is mainly applicable to clay, silt and sandy soil layers. However, during use, the measurement data of the probe may deviate due to various reasons, so rapid calibration and data correction are required.

[0003] At present, the static penetration probe has undergone many technological innovations. From the initial mechanical type to the electrical type, electronic type and digital type, the accuracy and measurement range of the probe have been significantly improved. At the same time, the structure of the probe has also developed from a single type to a multifunctional type, which can measure a variety of parameters, such as cone tip penetration resistance, side wall friction resistance, lateral stress, thermal conductivity, ground temperature, inclination, seismic waves, resistivity, etc.

[0004] In terms of fast calibration, existing methods usually involve calibrating the probe using special calibration equipment to obtain the calibration coefficients of the probe. These calibration coefficients are used to convert the probe's measurement values ​​into actual physical quantities in subsequent data processing. However, the calibration process can be relatively cumbersome and needs to be performed regularly to ensure the measurement accuracy of the probe.

[0005] Data correction is mainly aimed at correcting depth errors and abnormal measurement data caused by various factors (such as probe angle, zero drift, etc.) during the test. Through methods such as depth linear correction and zero drift correction, the accuracy and reliability of the measurement data can be ensured.

[0006] In the above disclosed technical solution, there are at least the following technical problems: At present, in terms of static penetration probe calibration, the main application direction at home and abroad is still the static calibration of static penetration probe sensors. The general idea is: in order to establish the relationship between the cone penetration resistance and the instrument display value, before use or after a period of use, the probe must be placed on various indoor probe calibration equipment (pressing machine) to perform corresponding pressurized calibration tests. The calibration device generally uses a rough force-applying device to calibrate the probe, and the calibration method is generally based on static calibration. First, it is impossible to consider the measurement data errors caused by environmental factors such as temperature and humidity at the actual field operation site; second, there is a lack of inspection of the operating status of the probe after indoor static calibration. In view of the above problems, the present invention proposes a solution. Summary of the invention

[0007] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a method for rapid calibration and data correction of a static penetration probe, which solves the problems raised in the above-mentioned background technology by utilizing a portable digital push-pull dynamometer to rapidly and dynamically calibrate the static penetration probe at a field operation site.

[0008] To achieve the above object, the present invention provides the following technical solutions: A method for rapid calibration and data correction of a static penetration probe comprises the following steps: before a static penetration test, a preliminary static penetration test is carried out using a known standard soil sample and a calibrated standard probe device, and initial calibration data of the probe is recorded, including the probe's depth, soil resistance, and friction resistance parameters; the initial calibration data obtained in the preliminary static penetration test is compared and analyzed with theoretical data of a set standard to obtain the probe's error range and deviation type; according to the probe's error range and deviation type, a sensor of the static penetration probe is adjusted and calibrated; during the actual test, static penetration test data is collected in real time and compared with a preset error tolerance range to determine whether the current data exceeds the error range, and if so, a data correction algorithm is started; after the data correction, the probe is further corrected and adjusted through a feedback mechanism to verify whether the data before and after the correction meet a predetermined standard, and if not, the adjustment is continued.

[0009] In a preferred embodiment, a preliminary static penetration test is conducted, and the specific operation process is as follows: turn on the digital push-pull dynamometer to check whether the power supply is sufficient; install the S-type sensor pressure probe, place it on the base of the static penetration external unit, and keep the S-type sensor stable, so that the static penetration probe and the S-type test head remain vertical; connect the digital push-pull dynamometer and the S-type sensor test head with a data wire; select a suitable test mode, the test mode includes real-time load value / peak hold / peak hold automatic delay; in the no-load state of the S-type sensor test, press the "zero" key to zero the equipment; start the static penetration equipment, and slowly apply pressure to the cone head through the bearing and the rocker arm; simultaneously read the static penetration microcomputer cone head Qc value and the push-pull dynamometer data; each time the data is read, control the applied pressure and keep it stable; remove the push-pull dynamometer and its probe and put them back in the box.

[0010] In a preferred embodiment, before the static penetration test, a preliminary static penetration test is carried out using a known standard soil sample and a calibrated standard probe device, and the initial calibration data of the probe is recorded, including the probe's depth, soil resistance, and friction resistance parameters. Specifically, before the test begins, a standard soil sample with known geological properties and mechanical parameters is selected; a static penetration probe device that has been calibrated and adjusted in the laboratory is selected; when conducting the preliminary static penetration test, the probe should be vertically advanced at a predetermined speed and pressure, and various data of the probe at different depths are recorded, including soil resistance, friction resistance, and probe depth; a table of recorded depths and corresponding soil resistance and friction resistance data is used as initial calibration data in a one-to-one correspondence.

[0011] In a preferred embodiment, the initial calibration data obtained in the preliminary static penetration test is compared and analyzed with the theoretical data of the set standard to obtain the error range and deviation type of the probe, specifically: the deviation of the data is obtained by comparing the measured initial calibration data with the theoretical data; based on the deviation of the data, the possible sources of the error are analyzed, whether it is caused by the design of the probe, the sensitivity of the sensor, environmental factors or other operational errors; the error range of the probe is obtained by calculating the absolute error and the relative error; the deviation type of the probe is identified based on the distribution characteristics of the error value; the comparison data includes the deviations of the physical quantities of the probe's soil resistance and lateral friction resistance at different depths.

[0012] In a preferred embodiment, the sensor of the static penetration probe is adjusted and calibrated according to the error range and deviation type of the probe, specifically: the pressure sensor and the displacement sensor are compensated, and real-time data correction is performed using an external compensation device; the zero drift of the pressure sensor is checked, and the pressure sensor is recalibrated to eliminate the deviation; the signal is smoothed using a low-pass filter to remove noise; the response of the displacement sensor is adjusted by applying a known displacement, and then the zero point and sensitivity of the displacement sensor are adjusted; the measurement results are corrected according to the sensor data acquired in real time and the known geological conditions using data fusion and real-time correction algorithms; several sensors of the same or different types are used and cross-checked; a correction coefficient is set for each sensor based on historical data and error analysis results, and dynamically applied during the data acquisition process to correct the measurement results in real time.

[0013] In a preferred embodiment, during the actual test process, static penetration test data is collected in real time and compared with a preset error tolerance range to determine whether the current data exceeds the error range. If it exceeds the range, the data correction algorithm is started, specifically: the zero point and sensitivity of the sensor are calibrated before the test, and various test data are collected in real time based on the static penetration equipment, and updated at a fixed frequency; according to engineering requirements, the error tolerance range of the static penetration data is set, which usually includes the maximum and minimum allowable ranges of pressure value, displacement value, and probe depth data; the real-time collected test data is compared with the preset error tolerance range. If the test data exceeds the preset tolerance range, it is considered that the test data is abnormal; for the test data with abnormalities, the data correction algorithm is started to correct the data.

[0014] In a preferred embodiment, after the data is corrected, the probe is further calibrated and adjusted through a feedback mechanism and it is verified whether the data before and after the correction meet the predetermined standards. If not, the adjustment is continued, specifically: confirming that the data correction process has been completed and correcting the original data; designing a feedback mechanism to collect the measurement data of the probe in real time and compare it with the standard value; calibrating and adjusting the probe according to the measurement data provided by the feedback mechanism and the predetermined calibration standard; after the calibration and adjustment, using standard samples and known values ​​for comparison to verify whether the data before and after the calibration meet the predetermined standards; if the calibration effect is not ideal, continue to adjust the probe according to the feedback data and analysis results; repeat the above-mentioned calibration adjustment and data verification steps until the calibrated data meets the predetermined standards; the feedback mechanism includes a sensor network, a data acquisition system, and data analysis software.

[0015] The technical effects and advantages of the method for rapid calibration and data correction of a static penetration probe of the present invention are as follows: 1. The present invention can relatively quickly review and inspect the static penetration probe after indoor calibration at the field operation site, formulate a method and application principle for how to quickly correct the collected measurement data when there is a calibration error, and can strengthen the static penetration quality control and equipment maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The present invention is a schematic diagram of a method for rapid calibration and data correction of a static penetration probe.

[0017] Figure 2 This is the on-site installation diagram of the S-type sensor.

[0018] Figure 3 It is the linear fitting diagram of the static probe cone resistance. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Embodiment 1, Figure 1 The present invention provides a method for rapid calibration and data correction of a static penetration probe, comprising the following steps: S1, before the static penetration test, a preliminary static penetration test is carried out using a known standard soil sample and a calibrated standard probe device, and the initial calibration data of the probe is recorded, including the probe's depth, soil resistance, and friction resistance parameters; The standard probe equipment includes a portable digital push-pull dynamometer; Furthermore, the selected portable digital push-pull dynamometer needs to meet the following conditions: Accuracy level 0.5, minimum reading up to 0.001N; Peak hold function. Keep the peak value displayed until manually cleared; Peak value automatic release function, which keeps the peak value displayed for 1 to 9 seconds and then automatically releases it; N (Newton), kgf (kilogram), lbf (pound) three units are available for selection and conversion; Gravity acceleration setting function; Comparison function, upper and lower limit deviation values ​​can be freely set, red and green indicator lights and buzzer automatic sound and light alarm settings; You can set upper and lower limits and comparison values ​​for statistical analysis. If the comparison value is exceeded, a buzzer alarm will sound. The test data can be input into the computer through the data line to obtain the test curve graph, and can be exported for various detailed analysis.

[0021] The specific operation process of conducting a preliminary static penetration test is as follows: (1) Preparation before measurement 1) Press the "Power On" button to turn on the digital push-pull dynamometer and check whether the power supply is sufficient; 2) Install the S-type sensor pressure probe, place it on the base of the static probe external unit, and keep the S-type sensor stable so that the static probe probe and the S-type test head remain vertical ( Figure 2 ); 3) Connect the digital push-pull dynamometer and the S-type sensor test head with a data wire.

[0022] (2) Setting of digital push-pull dynamometer 1) When the digital push-pull dynamometer is turned on, the instrument will automatically complete self-test and enter normal working state; 2) Select the appropriate test mode (load real-time value / peak hold / peak hold automatic delay); since the on-site measurement of static probe cone resistance is from small to large, the "peak" mode is often selected during the measurement process; 3) Press the "Unit" button to switch the test force unit (kN, kg, and lb). Usually KN is selected, and the "Peak" mode is selected during the measurement process; 4) Press the "Set" button to set the upper and lower limits, minimum acquisition value, automatic shutdown time, peak automatic release time, etc. Usually, the instrument default settings are sufficient; 5) When the S-type sensor is tested in no-load state, press the "Zero" button to reset the device to zero.

[0023] (3) Static probe cone resistance test 1) Start the static probe equipment and slowly apply pressure to the cone head through the bearing (hydraulic static probe) or rocker arm (hand-cranked static probe); 2) Simultaneously read the Qc value of the static probe microcomputer cone head and the push-pull dynamometer data. Generally, a set of data is read for every 1kN, and the number of data sets is not less than 10 sets. The data between 0.5kN and 2.0KN is more critical and can be measured in encrypted form; 3) Each time you read the data, you should control the applied pressure and keep it stable to prevent the data from jumping too much and causing reading errors.

[0024] 4) Remove the dynamometer and its probe and put them back into the box.

[0025] (4) Precautions and maintenance 1) Before starting the static penetration test for each project, a quick calibration of the static penetration probe should be carried out on site; 2) Before measuring, check whether the static penetration probe and line wiring are correct, whether the static penetration computer readings are normal, the appearance of the static penetration probe probe should be flat and smooth, without damage and rust, and the probe rod should be straight and without bending; 3) During installation, keep the static probe coaxial with the S-type sensor; 4) When using a digital force gauge, do not apply a load that exceeds the maximum test range of the digital force gauge to avoid damage or malfunction; 5) The environmental conditions during use should meet the following requirements: (10~30)°C, relative humidity ≤80%. Avoid using it in rainy or snowy days to prevent the connector from getting damp and affecting the data reading. 6) During measurement, there should be no vibration, electromagnetic field or other interference that may affect the measurement.

[0026] Before the static penetration test, a preliminary static penetration test is conducted using a known standard soil sample and a calibrated standard probe device, and the initial calibration data of the probe is recorded, including the probe's depth, soil resistance, and friction resistance parameters, specifically: Before the test begins, a standard soil sample with known geological properties and mechanical parameters is selected; Choose a static penetration probe device that has been calibrated and adjusted in the laboratory; When conducting a preliminary static penetration test, the probe should be pushed vertically at a predetermined speed and pressure, and various data of the probe at different depths should be recorded, including soil resistance, friction resistance, and probe depth; The recorded depths are matched one by one with the corresponding soil resistance and friction resistance data in a table as initial calibration data.

[0027] Furthermore, the soil sample should meet the following conditions: the soil type is known, and its mechanical properties (such as density, elastic modulus, internal friction angle, cohesion, etc.) have been confirmed by experimental data or standard literature. The depth and distribution of the soil sample are uniform and can represent the physical properties of the soil layer within a certain range.

[0028] The laboratory calibrated and adjusted static penetration probe equipment should have known accurate measurement capabilities and be able to measure and record the following key parameters: Soil penetration resistance: The interaction force between the probe tip and the soil layer, that is, the force on the probe tip when entering the soil layer. Usually measured in MPa (megapascals).

[0029] Frictional resistance: The friction force of the friction surface (shell) around the probe reflects the lateral frictional resistance of the soil layer, usually measured in MPa (megapascals).

[0030] Probe depth: The vertical penetration depth of the probe, generally measured in meters (m).

[0031] When conducting a preliminary static penetration test, the probe should be pushed vertically at a predetermined speed and pressure, and the data of the probe at different depths should be recorded. The specific steps are as follows: Advance speed control: Keep the probe's advancement speed constant. The common advancement speed is 2 cm / s or adjust according to actual needs.

[0032] Depth control: According to the test requirements, the probe is advanced layer by layer and the depth is recorded. Data can be collected in increments of 10 cm or less to ensure data accuracy and integrity.

[0033] Data collection: At each depth point, record the corresponding soil resistance, friction resistance and probe depth, and ensure that the data recording time and depth are accurately synchronized.

[0034] During the static penetration test, the preliminary calibration data obtained needs to be analyzed: Standard comparison: Compare the recorded entry resistance and friction resistance data with standard soil layer data (such as literature values ​​or standard values ​​known in the laboratory) to evaluate their error range.

[0035] Error analysis: By comparing the friction and penetration resistance data at different depths, it is analyzed whether there is measurement error or unstable probe performance.

[0036] Correction suggestion: If the error is beyond the acceptable range, a preliminary calibration can be performed by adjusting the probe sensor or adjusting the test parameters (such as propulsion speed).

[0037] S2, compare and analyze the initial calibration data obtained in the preliminary static penetration test with the theoretical data of the set standard to obtain the error range and deviation type of the probe; The initial calibration data obtained in the preliminary static penetration test is compared and analyzed with the theoretical data of the set standard to obtain the error range and deviation type of the probe, specifically: By comparing the measured initial calibration data with the theoretical data, the deviation of the data is obtained; Based on the deviation of the data, analyze the possible sources of the error, whether it is caused by the design of the probe, the sensitivity of the sensor, environmental factors or other operational errors; By calculating the absolute error and relative error, the error range of the probe is obtained; According to the distribution characteristics of the error value, the deviation type of the probe is identified; The comparison data include deviations of the physical quantities of the probe's penetration resistance and lateral friction resistance at different depths.

[0038] S3, adjusting and calibrating the sensor of the static penetration probe according to the error range and deviation type of the probe; The sensor of the static penetration probe is adjusted and calibrated according to the error range and deviation type of the probe, specifically: Compensate pressure sensors and displacement sensors, or use external compensation devices for real-time data correction; Check the zero drift of the pressure sensor and recalibrate the pressure sensor to eliminate the deviation; Use a low-pass filter to smooth the signal and remove noise; The response of the displacement sensor is adjusted by applying a known displacement, thereby adjusting the zero point and sensitivity of the displacement sensor; Using data fusion and real-time correction algorithms (such as Kalman filtering, least squares method, etc.) to correct measurement results based on real-time sensor data and known geological conditions; The reliability of the measurement can be improved by using several sensors of the same or different types and cross-checking them. For example, the data of different sensors such as pressure sensors and strain gauges, displacement sensors and laser rangefinders can be compared and corrected.

[0039] Based on historical data and error analysis results, a correction factor is set for each sensor, which can be dynamically applied during data acquisition to correct the measurement results in real time.

[0040] S4, during the actual test process, static penetration test data is collected in real time and compared with the preset error tolerance range to determine whether the current data exceeds the error range. If it exceeds the range, the data correction algorithm is started.

[0041] In the actual test process, static penetration test data is collected in real time and compared with the preset error tolerance range to determine whether the current data exceeds the error range. If it exceeds the range, the data correction algorithm is started, specifically: Before the test, the zero point and sensitivity of the sensor are calibrated, and various test data are collected in real time based on the static penetration equipment and updated at a fixed frequency; According to the engineering requirements, the error tolerance range of the static penetration test data is set, which usually includes the maximum and minimum allowable ranges of the pressure value, displacement value, and probe depth data; Compare the test data collected in real time with the preset error tolerance range. If the test data exceeds the preset tolerance range, it is considered that the test data is abnormal; For test data with abnormalities, the data correction algorithm is activated to correct the data.

[0042] According to the test principle, the static probe penetration resistance and the S-type sensor pressure value are a pair of action and reaction forces. Considering the cross-sectional area of ​​the cone head, the cone head resistance and the dynamometer reading should have a univariate linear relationship. Therefore, the univariate linear regression variance of the cone head resistance and the dynamometer reading P can be established based on the measurement data, and the mathematical relationship between the probe "actual pressure value" and the "static probe display value" can be constructed, and the static probe cone head resistance displayed by the static probe can be calibrated to the actual static probe cone head resistance.

[0043] Univariate linear regression model: Let the cone resistance be the independent variable x and the dynamometer reading P be the dependent variable y, then the relationship between them can be expressed by a univariate linear regression model as follows:

[0044] Among them, a and b are coefficients that reveal the relationship between x and y, a is the regression constant, b is the regression coefficient, and e is the error term or regression residual.

[0045] For each set of observable variables x, y, and , satisfying the following relationship:

[0046] in, is the residual term, which is To estimate the dependent variable The error caused by the value of .

[0047] In actual prediction, It is impossible to predict. Regression prediction relies on the estimated value of the predicted object. By determining a and b, the relationship between variables y and x is revealed. The univariate linear regression model can be expressed as:

[0048] The regression coefficient can be obtained using the ordinary least squares method. The basic principle of the least squares method is to minimize the sum of squares of the deviations of the observed value from the estimated value for a given equation. The regression coefficient obtained is:

[0049]

[0050]

[0051]

[0052] in, and are the observed values ​​of the independent variable x and the dependent variable y, respectively. and are the averages of x and y respectively, and n is the number of samples For each value of the independent variable x, there are fitted values:

[0053] calculate The difference between the actual observed value and the residual value is obtained:

[0054] When using a regression model for prediction, it is necessary to test the regression coefficient and regression equation to determine the rationality and applicability of the prediction model. Test methods include variance analysis, correlation test, t test, etc. For univariate linear regression, these test effects are the same. In general, just choose one of the tests. Usually, variance analysis is used.

[0055] Defining the coefficient of determination

[0056]

[0057] The size of indicates the percentage of the variation in y that can be explained by x, so It is an indicator to evaluate the strength of the linear relationship between two variables.

[0058] S5, after the data is rectified, the probe is further calibrated and adjusted through the feedback mechanism to verify whether the data before and after the calibration meet the predetermined standards. If not, the adjustment is continued.

[0059] After the data is rectified, the probe is further calibrated and adjusted through the feedback mechanism to verify whether the data before and after the calibration meet the predetermined standard. If not, the adjustment is continued, specifically: Confirm that the data correction process has been completed and correct the original data; Design a feedback mechanism to collect the probe's measurement data in real time and compare it with the standard value; Calibrate and adjust the probe according to the measurement data provided by the feedback mechanism and the predetermined calibration standard; After calibration and adjustment, use standard samples and known values ​​for comparison to verify whether the data before and after calibration meet the predetermined standards; If the calibration effect is not satisfactory, continue to adjust the probe according to the feedback data and analysis results; Repeat the above calibration adjustment and data verification steps until the calibrated data meets the predetermined standard; The feedback mechanism includes a sensor network, a data acquisition system, and data analysis software.

[0060] Embodiment 2, an application example of this dynamic calibration method.

[0061]

[0062] Table 1 Field rapid calibration record table of static probe The model is used to fit and predict the measured data, and the linear regression equation of the cone head resistance Qc and the dynamometer reading P is obtained: R2 = 0.9996 Using the above formula and Figure 3 The model cone resistance can be easily determined It has a strong linear relationship with the dynamometer reading P. Theoretically, the cone resistance It should be strictly equal to the dynamometer reading P and value. Therefore, this formula can be used to realize the resistance of all cone heads in this project At the same time, when the error is large, it can prompt the drilling team to calibrate the static probe indoors in time.

[0063] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0064] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0065] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0066] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0067] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0068] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for rapid calibration and data correction of a static penetration probe, characterized in that: The following steps are involved: Before the static penetration test, a preliminary static penetration test is carried out using a known standard soil sample and a calibrated standard probe device, and the initial calibration data of the probe is recorded, including the probe's depth, soil resistance, and friction resistance parameters; The initial calibration data obtained in the preliminary static penetration test is compared and analyzed with the theoretical data of the set standard to obtain the error range and deviation type of the probe; Adjust and calibrate the sensor of the static penetration probe according to the error range and deviation type of the probe; During the actual test, the static penetration test data is collected in real time and compared with the preset error tolerance range to determine whether the current data exceeds the error range. If it exceeds the range, the data correction algorithm is activated; After the data is rectified, the probe is further calibrated and adjusted through the feedback mechanism to verify whether the data before and after the correction meets the predetermined standards. If not, further adjustments are made.

2. The method for rapid calibration and data correction of a static penetration probe according to claim 1 is characterized in that: The specific operation process of conducting a preliminary static penetration test is as follows: Turn on the digital push-pull dynamometer and check whether the power supply is sufficient; Install the S-type sensor pressure probe, place it on the base of the static probe external unit, and keep the S-type sensor stable so that the static probe probe and the S-type test head remain vertical; Connect the digital push-pull dynamometer and the S-type sensor test head with a data wire; Select a suitable test mode, which includes load real-time value / peak hold / peak hold automatic delay; In the no-load state of the S-type sensor test, press the "Zero" button to reset the device to zero; Start the static probe equipment and slowly apply pressure to the cone head through the bearing and rocker arm; Simultaneously read the Qc value of the static probe microcomputer cone head and the push-pull dynamometer data; Each time you take a reading, control the pressure and keep it steady; Remove the push-pull force gauge and its probe and put them back into the box.

3. The method for rapid calibration and data correction of a static penetration probe according to claim 2 is characterized in that: Before the static penetration test, a preliminary static penetration test is conducted using a known standard soil sample and a calibrated standard probe device, and the initial calibration data of the probe is recorded, including the probe's depth, soil resistance, and friction resistance parameters, specifically: Before the test begins, a standard soil sample with known geological properties and mechanical parameters is selected; Choose a static penetration probe device that has been calibrated and adjusted in the laboratory; When conducting a preliminary static penetration test, the probe should be pushed vertically at a predetermined speed and pressure, and various data of the probe at different depths should be recorded, including soil resistance, friction resistance, and probe depth; The recorded depths are matched one by one with the corresponding soil resistance and friction resistance data in a table as initial calibration data.

4. The method for rapid calibration and data correction of a static penetration probe according to claim 3 is characterized in that: The initial calibration data obtained in the preliminary static penetration test is compared and analyzed with the theoretical data of the set standard to obtain the error range and deviation type of the probe, specifically: By comparing the measured initial calibration data with the theoretical data, the deviation of the data is obtained; Based on the deviation of the data, analyze the possible sources of the error, whether it is caused by the design of the probe, the sensitivity of the sensor, environmental factors or other operational errors; By calculating the absolute error and relative error, the error range of the probe is obtained; According to the distribution characteristics of the error value, the deviation type of the probe is identified; The comparison data include deviations of the physical quantities of the probe's penetration resistance and lateral friction resistance at different depths.

5. The method for rapid calibration and data correction of a static penetration probe according to claim 4 is characterized in that: The sensor of the static penetration probe is adjusted and calibrated according to the error range and deviation type of the probe, specifically: Compensate the pressure sensor and displacement sensor, and use external compensation devices to perform real-time data correction; Check the zero drift of the pressure sensor and recalibrate the pressure sensor to eliminate the deviation; Use a low-pass filter to smooth the signal and remove noise; The response of the displacement sensor is adjusted by applying a known displacement, thereby adjusting the zero point and sensitivity of the displacement sensor; Using data fusion and real-time correction algorithms, the measurement results are corrected based on real-time sensor data and known geological conditions; By using several sensors of the same or different types and performing cross-checks; Based on historical data and error analysis results, a correction factor is set for each sensor and applied dynamically during data acquisition to correct the measurement results in real time.

6. A method for rapid calibration and data correction of a static penetration probe according to claim 5, characterized in that: In the actual test process, static penetration test data is collected in real time and compared with the preset error tolerance range to determine whether the current data exceeds the error range. If it exceeds the range, the data correction algorithm is started, specifically: Before the test, the zero point and sensitivity of the sensor are calibrated, and various test data are collected in real time based on the static penetration equipment and updated at a fixed frequency; According to the engineering requirements, the error tolerance range of the static penetration test data is set, which usually includes the maximum and minimum allowable ranges of the pressure value, displacement value, and probe depth data; Compare the test data collected in real time with the preset error tolerance range. If the test data exceeds the preset tolerance range, it is considered that the test data is abnormal; For test data with abnormalities, the data correction algorithm is activated to correct the data.

7. A method for rapid calibration and data correction of a static penetration probe according to claim 6, characterized in that: After the data is rectified, the probe is further calibrated and adjusted through the feedback mechanism to verify whether the data before and after the calibration meet the predetermined standard. If not, the adjustment is continued, specifically: Confirm that the data correction process has been completed and correct the original data; Design a feedback mechanism to collect the probe's measurement data in real time and compare it with the standard value; Calibrate and adjust the probe according to the measurement data provided by the feedback mechanism and the predetermined calibration standard; After calibration and adjustment, use standard samples and known values ​​for comparison to verify whether the data before and after calibration meet the predetermined standards; If the calibration effect is not satisfactory, continue to adjust the probe according to the feedback data and analysis results; Repeat the above calibration adjustment and data verification steps until the calibrated data meets the predetermined standard; The feedback mechanism includes a sensor network, a data acquisition system, and data analysis software.

8. A method for rapid calibration and data correction of a static penetration probe according to claim 7, characterized in that: The data correction algorithm is specifically: For each set of observable variables x, y, and , satisfying the following relationship: Where x is the cone resistance, y is the dynamometer reading P, a and b are coefficients that reveal the relationship between x and y, a is the regression constant, b is the regression coefficient, and e is the error term. is the residual term.

9. A method for rapid calibration and data correction of a static penetration probe according to claim 8, characterized in that: The specific calculation formula of the regression coefficient is: in, and are the observed values ​​of the independent variable x and the dependent variable y, respectively. and are the means of x and y respectively, and n is the number of samples.

10. A method for rapid calibration and data correction of a static penetration probe according to claim 9, characterized in that: The specific calculation formula of the coefficient of determination is: is the coefficient of determination, is the fitted value of the resistance of the ith cone head.

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