Integral extraction method for single-peak and double-peak waveform signals of roller type plate shape instrument

Abstract

The invention provides an integral extraction method for single-peak and double-peak waveform signals of a roller type plate shape instrument, and belongs to the technical field of metallurgical automation and industrial sensors. The method comprises the following specific steps: carrying out integral calibration on the roller shape gauge through an integral calibration coefficient; acquiring a detection digital signal curve by using the calibrated roller type plate shape instrument; intercepting and detecting an effective section of the digital signal curve; the integral value of the effective section of the digital signal curve is detected as the effective characteristic of the roller surface pressure signal; and calculating plate shape distribution by using the effective characteristics of the roll surface pressure signal. According to the method, the integral calibration coefficient is adopted to complete calibration of the roller type plate shape instrument, and the problems that in the prior art, the output waveform peak value of the plate shape instrument is manually intercepted for value calibration, and consequently the labor cost is high, and precision is insufficient are solved; and a digital signal curve integral value detected by a detection channel of the roller type plate shape instrument is used as an effective characteristic of a roller surface pressure signal, so that plate shape detection errors caused by large change of tension and a wrap angle in a rolling pass are reduced.

Description

Technical Field

[0001] The invention relates to the technical field of metallurgical automation and industrial sensors, in particular to an integral extraction method for single- and double-peak waveform signals of a roller shape meter. Background Art

[0002] Roller shape meters are widely used in the quality control process of metallurgical production. They are precision measuring instruments for measuring the surface shape parameters of plates and strips. Roller shape meters usually measure the shape of plates by physical contact between the outer shell of the force sensor or the detection roller body that closely matches the sensor and the surface of the plate and strip. These sensors are arranged along the width direction of the plate and strip to form a multi-point measurement system, that is, multiple detection channels. For roller shape meters, each detection channel needs to be calibrated before use; the calibrated roller shape meter is used to sample in real time during the rolling process to obtain the pressure data at the measured section of the plate and strip at each moment. The shape distribution is calculated based on the pressure data and transmitted to the rolling mill shape control system in the form of control quantity through a programmable controller to complete the real-time regulation of the strip shape and form a measurement-control closed loop. Therefore, how to extract the accurate effective features of the roller surface pressure signal for the calibration of the shape meter and the shape distribution calculation is crucial to the accuracy of the shape distribution calculation in the measurement-control closed loop.

[0003] In the prior art, the shape value of each detection channel of the roller shape meter is calibrated by taking the peak value of the digital signal curve output by the detection channel as the effective feature of the roller surface pressure signal; after the calibration, the shape distribution is calculated by taking the peak value of the digital signal curve output by the detection channel as the effective feature of the roller surface pressure signal; however, affected by mechanical vibration and noise interference, the digital signal curve of the detection channel always has a small oscillation in the local area, which has a great impact on the acquisition of the digital signal curve; and due to space limitations, the detection roller of the roller shape meter often takes into account the role of the guide roller, so that the wrapping angle of the strip to the detection roller (hereinafter referred to as "wrapping angle") changes in real time, and the detection roller, as a typical force sensor, is extremely sensitive to the two working parameters of strip tension and wrapping angle. As a result, during the strip rolling production process, there are always different relative elongation distributions along its width direction. Due to the tension on both sides of the strip, this uneven distribution is equivalent to the uneven distribution of strip tension. When the detection roller is in a detection environment with a variable wrapping angle, its pressure sensor will have a double peak digital signal. At this time, the peak value of the digital signal curve cannot be used as an effective feature of the roller surface pressure signal.

[0004] Therefore, an effective feature extraction method for the roller surface pressure signal of the single and double peak waveform signal of the roller shape meter is needed. Summary of the invention

[0005] In view of this, the present invention provides a method for integral extraction of single and double peak waveform signals of a roller shape meter, and uses the integral value of the effective segment of the digital signal curve as the effective feature of the roller surface pressure signal to complete the calibration of the roller shape meter and real-time shape detection.

[0006] To this end, the present invention provides the following technical solutions:

[0007] A method for integrally extracting single-peak and double-peak waveform signals of a roller shape meter, comprising:

[0008] Obtain the digital signal curve output by the internal sensor of the roller detector;

[0009] The integral value of the effective segment of the digital signal curve is obtained as the effective feature of the roller surface pressure signal.

[0010] Furthermore, the roller type detector includes: a roller type shape meter.

[0011] Furthermore, the digital signal curve includes:

[0012] Single-peak waveform digital signal curve and double-peak waveform digital signal curve.

[0013] Furthermore, the non-zero segment of the digital signal curve is a valid segment of the digital signal curve.

[0014] Furthermore, the effective characteristics of the roller surface pressure signal are used to perform integral calibration on the roller shape meter, including:

[0015] Obtain the digital signal curve output by each detection channel in the roller body after the roller body and the pressure wheel rotate towards each other for one cycle under the standard load;

[0016] intercepting a valid segment of the digital signal curve;

[0017] Taking the integral value of the effective section of the digital signal curve as the effective feature of the roller surface pressure signal;

[0018] Using the effective characteristics of the roller surface pressure signal as an integral calibration coefficient;

[0019] The integral calibration coefficient of any detection channel is used as the integral calibration coefficient reference value;

[0020] Calculate the ratio of the integral calibration coefficient of each detection channel in the roller body to the integral calibration coefficient reference value as the calibration scaling coefficient of each detection channel;

[0021] The output signal of each detection channel is numerically scaled based on the calibration scaling coefficient of each detection channel to complete the calibration.

[0022] Furthermore, the effective characteristics of the roller surface pressure signal are used to calculate the plate shape distribution.

[0023] Furthermore, the accuracy of the digital signal curve is adjusted by adjusting the sampling frequency of the roller shape meter.

[0024] A computer-readable storage medium, characterized in that a computer instruction set is stored in the computer-readable storage medium, and when the computer instruction set is executed by a processor, the integral extraction method of the single and double peak waveform signals of a roller shape meter as described in any one of claims 1 to 7 is implemented.

[0025] Advantages and positive effects of the present invention:

[0026] The method of the invention utilizes the integral value of the effective section of the digital signal curve as the effective feature of the roller surface pressure signal to complete the calibration of the roller shape meter and the real-time shape detection. It has been verified through analysis of the basic principles of elastic mechanics, reducing the impact of local small oscillations in the output signal caused by mechanical vibration and noise interference on the calibration progress; ensuring the accuracy of the integral value of the effective section of the digital signal curve as the effective feature of the roller surface pressure signal; and calibrating the roller shape meter using the integral value of the effective section of the digital signal curve as the effective feature of the roller surface pressure signal, solving the problem of high labor costs and insufficient precision in the prior art of manually intercepting the peak value of the output waveform of the shape meter for numerical calibration; and using the calibrated roller shape meter to perform shape detection, using the integral value of the digital signal curve detected by the roller shape meter detection channel as the effective feature of the roller surface pressure signal, to perform real-time shape detection, reducing the shape detection error caused by large changes in tension and wrap angle during rolling passes; reducing the influence of sensor sensitivity and installation accuracy on detection accuracy, eliminating external influences and improving the applicability of detection; solving the problem of the prior art inability to simultaneously process digital signal curves of different waveforms, and improving the accuracy of shape distribution calculation. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0028] Figure 1 Schematic diagram of load evolution and model discretization during belt-roller transmission in this embodiment;

[0029] Figure 2 Schematic diagram of the pressure wheel calibration device used in the roller shape meter in this embodiment;

[0030] Figure 3 This is a flow chart of integral calibration of the roller shape meter in this embodiment;

[0031] Figure 4 This is a flow chart of the roller shape meter detection in this embodiment;

[0032] Figure 5 It is the evolution curve of the sensor resultant force when the wrap angle is 4° to 60°;

[0033] Figure 6 The sensor force integral value curve and its linear correlation when the tension increases from 500N to 2500N at different wrap angles. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0035] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0036] The present invention provides an integral extraction method for single-peak and double-peak waveform signals of a roller shape meter, so as to detect the integral value of the effective section of a digital signal curve and use it as the effective feature of a roller surface pressure signal to calibrate an internal sensor of the roller shape meter; and use the roller shape meter after integral calibration to detect the integral value of the effective section of the digital signal curve and use it as the effective feature of the roller surface pressure signal; calculate the plate shape distribution and improve the accuracy of plate shape detection.

[0037] The method of the present invention comprises the following steps:

[0038] The integral value of the effective section of the digital signal curve is used as the effective feature of the roller surface pressure signal for calibration;

[0039] Calculate the flatness distribution using the digital signal output by the calibrated roller flatness detection;

[0040] The integral value of the effective segment of the detected digital signal curve is used as the effective feature of the roller surface pressure signal to calculate the plate shape distribution.

[0041] Combination Figure 3 , to detect the integral value of the effective section of the digital signal curve, as the effective feature of the roller surface pressure signal for calibration, including:

[0042] Obtain the load digital signal curve output by each detection channel in the roller body after the roller body and the pressure wheel rotate towards each other for one cycle under the standard load;

[0043] Intercept the effective section of the load digital signal curve;

[0044] The integral value of the effective section of the load digital signal curve is used as the integral calibration coefficient;

[0045] The integral calibration coefficient of any detection channel is used as the integral calibration coefficient reference value;

[0046] Calculate the ratio of the integral calibration coefficient of each detection channel in the roller body to the integral calibration coefficient reference value as the calibration scaling coefficient of each detection channel;

[0047] The output signal of each detection channel is numerically scaled based on the calibration scaling coefficient of each detection channel to complete the calibration.

[0048] Specifically, using Figure 2 The device shown performs integral calibration, including:

[0049] Bearing seat 1, calibration beam 2, calibration weight 3, calibration rod 4, plate shape meter detection roller 5, beam support 6, motor 7, frequency converter 8, pressure wheel 9 and calibration platform 10.

[0050] This device relies on the calibration rod to connect the calibration weight and the pressure wheel, forming a lever rolling support three-body structure on the surface of the plate shape meter detection roller. The beam support plays the role of connecting and fixing the calibration beam on the bearing seat. During calibration, it is necessary to move the three-body structure to each detection channel under the constraint of the calibration beam so that the pressure wheel is in close contact with the roller body. At this time, start the frequency converter, drive the roller body and the pressure wheel to rotate towards each other through the motor, and transfer the standard load of the calibration weight to the roller surface until it reaches the internal force sensor. At each detection channel, when the pressure wheel rotates and reaches the entrance of the effective force area of ​​the sensor, the sensor begins to output a non-zero analog signal. As it leaves the effective force area of ​​the sensor, the output value is reset to zero again, and the analog-to-digital conversion obtains the digital signal curve of each detection channel.

[0051] like Figure 1 As shown, by combining elastic mechanics analysis and considering the change of the wrap angle of the strip to the detection roller, the relationship between the effective characteristics of the roller surface pressure signal of the detection channel and the integral of the digital signal curve is obtained:

[0052] Evolution of the effective segment of the digital signal curve and the combined force on the sensor surface.

[0053] When the detection roller performs plate shape detection, its internal pressure sensor will continuously output a digital signal curve before the end of rolling. The interval of this digital signal curve greater than zero is defined as a digital signal, which is proportional to the evolution of the sensor resultant force (the evolution curve of the resultant force generated on the surface of the sensor pressure chip, referred to as the sensor resultant force), defined as q; the distribution range of the two is the same, defined as θ0.

[0054] The proportionality coefficient between the sensor force and the digital signal can be expressed as k trans ;Specific to different types of detection rollers, k trans It will vary according to factors such as the roller structure, sensor structure, measurement circuit layout and force-sensitive material properties, but it does not change the linear relationship between the electrical signal and the load. Therefore, the analysis of the sensor resultant force and the digital signal is equivalent.

[0055] Obtain the radial pressure distribution on the roller surface.

[0056] When the belt and roller are in contact, the radial pressure generated along the circumference of the roller body is not evenly distributed, but concentrated on both sides of the distribution area. This non-uniform pressure distribution on the roller surface is defined as the roller surface radial pressure distribution p (hereinafter referred to as roller surface pressure), and its distribution range is defined as θ r .

[0057] Effective force area of ​​the sensor. Under the action of tension, the strip and the roller form a certain wrap angle and transmission occurs (either active or passive). When and only when the roller surface pressure p reaches a certain roller circumferential range near the sensor, the sensor will generate a digital signal d; the roller circumferential range is defined as the effective force area of ​​the sensor, and it is quantified as an angle range θ around the roller circumference. s When the strip tension and wrap angle fluctuate greatly, the circumferential distribution range of the effective force-bearing area of ​​the sensors in each detection channel is basically constant.

[0058] Discretized sensor effective force area, roller surface pressure and sensor force.

[0059] The effective force area of ​​the sensor can be divided into m partitions by micro-sectors. The angle of the micro-sector in the circumferential direction of the roller body is Δθ = θ s The smaller the / m, that is, the finer the partition (or the smaller the step size), the higher the accuracy of this method; in practical applications, the higher the sampling frequency f of the plate shape meter, that is, the smaller the corresponding roller rotation angle between adjacent sampling points, the higher the accuracy of this method. Similarly, the roller surface pressure p and the sensor force q are also divided into n and (m+n-1) strips according to the same micro-sector angle Δθ, expressed as p and (m+n-1) strips, respectively. j (j=1~n) and q k(k = 1 to (m + n - 1)).

[0060] Coefficient distribution within the effective force - receiving area of the sensor.

[0061] For the m sectors within the effective force - receiving area of the sensor, the proportionality coefficient between the surface pressure and the resultant force of the sensor is defined as the coefficient distribution within the effective force - receiving area of the sensor, denoted as α i (i = 1 to m). This coefficient distribution is an inherent property after the detection roller is assembled and is a constant. The influence coefficient of the pressure in each circumferential partition within the effective force - receiving area of the sensor on the resultant force of the sensor is constant, but the influence coefficients of different circumferential partitions are different, and the coefficient distributions of different axial detection channels are also different.

[0062] Considering only one axial detection unit inside the roller body, when the strip approaches the roller surface near the sensor and the roller surface pressure enters the range of the effective force - receiving area of the sensor, the resultant force of the sensor changes, and the sensor starts to output a digital signal proportional to the resultant force of the sensor.

[0063] Normally, θ S > θ r , that is, m > n. At this time, the wrap angle of the strip relative to the roller body is small, and the distribution range of the roller surface pressure can completely enter the distribution range of the effective force - receiving area of the sensor. For the stage when the roller surface pressure enters the effective force - receiving area of the sensor but does not completely enter:[[]]

[0064]

[0065] For the stage when the roller surface pressure completely enters the effective force - receiving area of the sensor:[[]]

[0066]

[0067] For the stage when the roller surface pressure leaves the effective force - receiving area of the sensor but does not completely leave:[[]]

[0068]

[0069] For the case of θ s < θ r , that is, m < n, the wrap angle of the strip relative to the roller body is large, and at this time, the distribution range of the roller surface pressure can completely cover the distribution range of the effective force - receiving area of the sensor.

[0070] For the stage when the roller surface pressure enters the effective force - receiving area of the sensor but does not completely cover it:[[]]

[0071]

[0072] For the stage when the roller surface pressure completely covers the effective force - receiving area of the sensor:[[]]

[0073]

[0074]

[0075] For the stage where the roller surface pressure no longer completely covers the effective force area of ​​the sensor but has not completely left it:

[0076]

[0077] For the two cases where the roller surface pressure can completely enter the effective force-bearing area of ​​the sensor (small wrap angle) and can completely cover the effective force-bearing area of ​​the sensor (large wrap angle), the left and right sides of each (m+n-1) equation of equations (1) to (8) and equations (9) to (16) are summed and similar terms are combined to obtain:

[0078]

[0079] Where Q is the discrete value q of the sensor force curve k Points:

[0080]

[0081] A is the influence coefficient α in the effective force area of ​​the sensor i Points:

[0082]

[0083] P is the discrete value p of the roller surface pressure curve j Points:

[0084]

[0085] Due to α i (i=1~m) are all constants, A is also a constant, and P can be regarded as the projection of the resultant force of the strip on the roller surface in the radial direction of the roller body. The integral of the digital signal output by the sensor is defined as D, then:

[0086] D=k trans Q = k trans ·A·P(18)

[0087] From the above relationship, it can be seen that there is a linear relationship between the projection of the resultant force of the strip on the roller surface in the radial direction of the roller body and the integral of the digital signal. The integral of the digital signal can be directly used as an effective feature of the roller surface pressure signal. However, the detection roller must first be calibrated by integration. The product of the first two terms after the second equal sign in the above formula is expressed as K, which is the integral calibration coefficient of each detection channel. Expanding it can be specific to the circumferential partition of each Δθ in the effective force area of ​​the sensor:

[0088]

[0089] That is, the calibration coefficient of each circumferential partition Δθ:

[0090] K i =k trans α i (20)

[0091] According to equations (18) and (19), the integral calibration coefficient of each detection channel is:

[0092]

[0093] When the dynamic calibration device of the pressure wheel is used to dynamically calibrate the detection roller, the strip loading is simulated by the pressure wheel loading. Since the pressure wheel uses a standard load to load each detection channel, that is, P is equal in each detection channel and its distribution state is constant, equation (21) can be simplified to:

[0094] K=D(22)

[0095] At this point, the K value of a certain detection channel in the detection roller can be set as the reference value Kstandard, and the ratio of the reference value Kstandard to the K value of each channel can be set as the calibration scaling factor of the final digital signal.

[0096] K ud =K standard / K(23)

[0097] Combined with the above verification process, assuming that the detection roller contains n detection channels, the current calibration channel number is i, when the pressure wheel calibration device is used to dynamically calibrate the plate shape meter detection roller, the following steps should be followed:

[0098] 1) According to the calibration order, the digital signal curves output by each detection channel are obtained in turn. The curves must exceed their complete data cycle, that is, when sampling each channel, the roller body performs at least one rotation cycle.

[0099] 2) The digital signal sampling data output by all detection channels is intercepted to ensure that the intercepted sampling signal is a valid segment of the digital signal, that is, a non-zero segment.

[0100] 3) Integrate each discrete point in the effective segment of the digital signal intercepted by each detection channel to obtain D of each detection channel, which is used to represent the integral calibration coefficient K of each channel. i .

[0101] 4) Take the integral calibration coefficient value of a certain detection channel as the reference value, expressed as K standard In this implementation, the integral calibration coefficient of the first winning channel is set as the reference value, then K standard =K1.

[0102] 5) According to the order of detection channels, calculate the calibration scaling factor K of each channel in turn ud,i =K standard / K i .

[0103] 6) Calibrate the scaling factor K according to each detection channel ud,i , perform numerical scaling on the output signals of each channel within the software to complete the numerical calibration of the detection system.

[0104] For the 800mm cold-rolled copper strip shape meter detection roller with 19 detection channels, it is assumed that its built-in detection software has already calibrated the values ​​of each detection channel of the shape meter. After the rolling process begins, the channel sensors in the detection roller will continuously output 19 sets of digital signals discretized from the analog curve (i.e., the discrete value curve after A / D conversion). For the case where the sampling frequency f matches the belt speed, the maximum detection accuracy N (Number of measurement points permeter strip, the number of sampling points per meter of strip) is often used to describe f, and its value can often reach 320. The roller diameter of the commonly used industrial detection roller, 313.4mm, is substituted into the calculation to obtain the angle acquisition density of the roller body circumference, i.e., the step length:

[0105]

[0106] Assume that the digital signal d output by a detection channel sensor is o The corresponding angle range is θ o =42°, then the number of sampling points and the effective characteristics of the roller surface pressure signal in this interval are:

[0107]

[0108] like Figure 4 As shown, in this embodiment, by judging whether the sampling point belongs to the valid part of the digital signal curve and completing the summation, the above sampling point integral summation operation is repeated in real time for 19 detection channels to obtain the effective characteristic array of the roller surface pressure signal for calculating the real-time plate shape.

[0109] The flatness distribution is calculated using the effective feature array of the roller surface pressure signal:

[0110]

[0111] Among them, P i is the total radial pressure of the strip on the roller above the i-th detection channel, is the average radial pressure of each strip on the roller body, T is the total tension of the strip; W is the total width of the strip, t is the average thickness of the strip; ν and E are the Poisson's ratio and Young's modulus of the strip, respectively.

[0112] Taking full account of the wrap angle change and taking the integral of the digital signal as the effective feature of the roller surface pressure signal, the distribution of the belt-roller radial contact pressure P in each detection channel can be accurately obtained.

[0113] The effectiveness of the method of the present invention is further illustrated by the following simulation results:

[0114] Figure 5 The evolution curve of the sensor force when the wrap angle is changed from 4° to 60° for a fixed tension of 1000N. As the wrap angle increases, the sensor force gradually changes from a single-peak waveform to a double-peak waveform.

[0115] When the tension is fixed, the effective characteristics of the roller surface pressure signal should be as close as possible to There is a completely linear positive correlation. The Pearson correlation coefficient is used to reflect the linear relationship between the two sets of data:

[0116]

[0117] Among them, x i and i is the i-th data point in the two sets of data; and are the means of the two sets of data respectively; n is the number of data points. r≈1 indicates a high correlation, and deviations from 1 indicate a poor correlation.

[0118] by As reference data, we extracted Figure 5 The peak value and integral value of the curve are used to calculate the correlation coefficient. Figure 6 To change the wrap angle from 4° to 60°, The peak curve and its correlation coefficient are compared with the integral curve and its correlation coefficient. The correlation of the curves is significantly poorer, whereas the correlation of the integral curve is close to 1.

[0119] The three test group curves with wrap angles of 20°, 30° and 40° were integrated and the Pearson correlation coefficient of the integral value was calculated using the tension value as the reference data. The sensor force integral value curves and their linear correlations when the wrap angles were fixed at 20°, 30° and 40° and the tension increased from 500N to 2500N were obtained. Figure 6 As shown, no matter how the wrap angle changes, the output signal curve is a single-sealed waveform or a double-peak waveform. The integral of the digital signal as the effective feature of the roller surface pressure signal is completely linearly positively correlated with the tension, thereby providing more accurate data for calculating the plate shape distribution.

[0120] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for integral extraction of single and double peak waveform signals of a roller shape meter, characterized in that: include: Obtain the digital signal curve output by the internal sensor of the roller detector; The integral value of the effective segment of the digital signal curve is obtained as the effective feature of the roller surface pressure signal.

2. According to claim 1, a method for integral extraction of single and double peak waveform signals of a roller shape meter, characterized in that: The roller type detector comprises: a roller type flatness meter.

3. The method for integral extraction of single and double peak waveform signals of a roller shape meter according to claim 1, characterized in that: The digital signal curve comprises: Single-peak waveform digital signal curve and double-peak waveform digital signal curve.

4. The method for integral extraction of single and double peak waveform signals of a roller shape meter according to claim 1, characterized in that: The non-zero segment of the digital signal curve is a valid segment of the digital signal curve.

5. The method for integral extraction of single and double peak waveform signals of a roller shape meter according to claim 1, characterized in that: The roller shape meter is calibrated integrally using the effective characteristics of the roller surface pressure signal, including: Obtain the digital signal curve output by each detection channel in the roller body after the roller body and the pressure wheel rotate towards each other for one cycle under the standard load; intercepting a valid segment of the digital signal curve; Taking the integral value of the effective section of the digital signal curve as the effective feature of the roller surface pressure signal; Using the effective characteristics of the roller surface pressure signal as an integral calibration coefficient; The integral calibration coefficient of any detection channel is used as the integral calibration coefficient reference value; Calculate the ratio of the integral calibration coefficient of each detection channel in the roller body to the integral calibration coefficient reference value as the calibration scaling coefficient of each detection channel; The output signal of each detection channel is numerically scaled based on the calibration scaling coefficient of each detection channel to complete the calibration.

6. The method for integral extraction of single and double peak waveform signals of a roller shape meter according to claim 1, characterized in that: The effective characteristics of the roller surface pressure signal are used to calculate the plate shape distribution.

7. The method for integral extraction of single and double peak waveform signals of a roller shape meter according to claim 6, characterized in that: The accuracy of the digital signal curve is adjusted by adjusting the sampling frequency of the roller shape meter.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer instruction set, and when the computer instruction set is executed by a processor, the integral extraction method of the single-peak and double-peak waveform signals of the roller shape meter as described in any one of claims 1 to 7 is implemented.

Images