Crankshaft deformation measuring method, system and device

Abstract

The invention relates to the technical field of crankshaft size measurement, in particular to a crankshaft deformation measurement method, system and device. According to the method, readings obtained through size measurement are drawn into a size curve, and an abnormal reading curve is screened out according to the fluctuation significance degree of the size curve. And performing targeted smoothing on an abnormal wave crest section on the abnormal reading curve, and obtaining a smoothing result of the abnormal wave crest section by comparing a non-abnormal reading curve which can be used for reference in a size curve of a section of detection area, so as to obtain a corrected reading curve. And obtaining the deformation degree of the crankshaft based on the corrected reading curve and the non-abnormal reading curve. The influence of impurities on the surface of the crankshaft on measurement reading is eliminated, and the accurate deformation degree of the crankshaft is obtained.

Description

Technical Field

[0001] The present invention relates to the technical field of crankshaft dimension measurement, and particularly relates to a method, system and device for measuring crankshaft deformation. Background Art

[0002] The crankshaft is an important component in mechanical devices such as engines. The crankshaft is subjected to the combined action of the centrifugal force of the rotating mass, the gas inertia force that changes periodically, and the reciprocating inertia force, so that the crankshaft bears the action of bending moment and torsional load. Therefore, regularly measuring and evaluating the deformation of the engine crankshaft can ensure the smoothness and safety of the engine operation, reduce the maintenance cost, and extend the service life of the engine.

[0003] In the actual process of detecting the dimensions of the crankshaft, since the crankshaft to be detected is not a newly produced crankshaft, there will be impurities covering the surface of the crankshaft. During the detection process, the probe of the micrometer will cause local deviation of the reading at the impurity position, resulting in detection errors. Summary of the Invention

[0004] In order to solve the technical problem that in the prior art, when measuring the dimensions of the crankshaft, the measurement data is in error due to environmental factors such as surface impurities, the purpose of the present invention is to provide a method, system and device for measuring crankshaft deformation, and the specific technical solutions adopted are as follows:

[0005] The present invention proposes a method for measuring crankshaft deformation, and the method includes:

[0006] Performing multiple dimension measurements on each detection area of the crankshaft. Each dimension measurement obtains a dimension curve for one week of the crankshaft cross-section, and the transverse measurement positions of different dimension measurements are different;

[0007] For multiple dimension curves under each detection area, the fluctuation significance of each dimension curve is obtained according to the degree of protrusion of the wave peaks on each dimension curve; and the abnormal reading curves are screened out according to the fluctuation significance and the differences between the dimension curves;

[0008] Screening out abnormal wave peak segments on the abnormal reading curves, and obtaining a comparison curve segment at the same position as the abnormal wave peak segment on the nearest non-abnormal reading curve under the same detection area; smoothing the abnormal wave peak segment according to the difference between the comparison curve segment and the abnormal wave peak segment to obtain a corrected reading curve;

[0009] Determining the deformation degree of the crankshaft according to the reading information on the corrected reading curves and non-abnormal reading curves on each detection area of the crankshaft.

[0010] Further, the method for obtaining the fluctuation significance includes:

[0011] For each dimension curve, obtain the peak data segments on the dimension curve, obtain the average time period length of all the peak data segments, and use the ratio of the number of peak data segments to the average time period length as the fluctuation significance degree.

[0012] Further, the screening method for the abnormal reading curve includes:

[0013] For each dimension curve, obtain the degree of abnormality according to the difference distance between the dimension curve and other dimension curves, and the magnitude of the fluctuation significance degree of the dimension curve.

[0014] If the degree of abnormality is greater than the preset abnormal threshold, then regard the dimension curve as an abnormal reading curve.

[0015] Further, the obtaining method for the degree of abnormality includes:

[0016] The difference distance is the DTW distance, and obtain the cumulative value of the difference distances between the dimension curve and all other dimension curves.

[0017] Take the maximum value of the fluctuation significance degrees of all dimension curves as the reference value. For each dimension curve, obtain the abnormal fluctuation degree of each dimension curve according to the difference between the fluctuation significance degree of the dimension curve and the reference value, and obtain the degree of abnormality according to the abnormal fluctuation degree and the cumulative value of the difference distances.

[0018] Further, the obtaining method for the abnormal peak segment includes:

[0019] For each peak data segment on each abnormal reading curve, obtain the protrusion degree of the peak data segment according to the time interval and reading interval of the peak data segment; if the protrusion degree is greater than the preset protrusion threshold, then regard the peak data segment as an abnormal peak segment.

[0020] Further, the obtaining method for the corrected reading curve includes:

[0021] For each data point to be corrected in the abnormal peak segment, obtain the reading difference between the data point at the same position on the comparison curve segment and the corrected data point; according to the reading difference and the time distance between the abnormal peak segment and the comparison curve segment, obtain the correction amount.

[0022] If the reading difference is positive, then add the reading of the data point to be corrected and the correction amount to obtain the corrected reading.

[0023] If the reading difference is negative, then subtract the correction amount from the reading of the data point to be corrected to obtain the corrected reading.

[0024] If the reading difference is 0, no correction is performed.

[0025] Correct all the data points to be corrected in all abnormal peak segments to obtain the corrected reading curve.

[0026] Furthermore, the method for obtaining the correction amount includes:

[0027] Perform a negative correlation mapping and normalization processing on the time distance between the abnormal peak segment and the comparison curve segment to obtain a time weight, and use the product of the time weight and the absolute value of the reading difference as the correction amount.

[0028] Furthermore, the method for obtaining the deformation degree includes:

[0029] Use the corrected reading curve and the non-abnormal reading curve as the curves to be analyzed, obtain the curve difference between the curves to be analyzed and the preset standard reading curve, and use the average curve difference of all the curves to be analyzed as the deformation degree.

[0030] The present invention also provides a crankshaft deformation measurement system, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of any one of the crankshaft deformation measurement methods are implemented.

[0031] The present invention also provides a crankshaft deformation measurement device, and the device includes:

[0032] A crankshaft size detection module, configured to perform multiple size measurements on each detection area of the crankshaft. Each size measurement obtains a size curve for one week of the crankshaft cross-section, and the lateral measurement positions for different size measurements are different;

[0033] An abnormal reading curve screening module, configured to, for multiple size curves under each detection area, obtain the fluctuation significance of each size curve according to the degree of peak protrusion on each size curve; screen out abnormal reading curves according to the fluctuation significance and the differences between the size curves;

[0034] An abnormal reading correction module, configured to screen out abnormal peak segments on the abnormal reading curve, and obtain a comparison curve segment at the same position as the abnormal peak segment on the non-abnormal reading curve under the same detection area; perform smoothing processing on the abnormal peak segment according to the difference between the comparison curve segment and the abnormal peak segment to obtain a corrected reading curve;

[0035] A deformation degree detection module, configured to determine the deformation degree of the crankshaft according to the reading information on the corrected reading curve and the non-abnormal reading curve for each detection area on the crankshaft.

[0036] The present invention has the following beneficial effects:

[0037] In the embodiments of the present invention, considering that impurities on the surface of the crankshaft can be equivalent to protrusions on the surface, when the readings obtained from the size measurement are plotted into a size curve, a peak will be formed at the position of the protrusion on the size curve. Therefore, abnormal reading curves are further screened according to the degree of fluctuation of the size curve. Targeted smoothing can be performed on the abnormal peak segments on the abnormal reading curves. Since measurement processes at different lateral positions are set in a detection area of a section of the crankshaft, and impurities and other abnormalities on the surface of the crankshaft do not exist in a large area, there are non-abnormal reading curves available for reference in the size curves of a section of the detection area. Taking this as a comparison, the smoothing result of the abnormal peak segment can be obtained, and a corrected reading curve can be obtained. Based on the corrected reading curve and the non-abnormal reading curve, the influence of impurities on the surface of the crankshaft on the measurement reading can be eliminated, and the accurate deformation degree of the crankshaft can be obtained. Description of the Drawings

[0038] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for describing the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0039] Figure 1 It is a flowchart of a method for measuring the deformation of a crankshaft provided by an embodiment of the present invention;

[0040] Figure 2 It is a schematic diagram of a scenario for measuring the deformation of a crankshaft provided by an embodiment of the present invention;

[0041] Figure 3 It is a comparison schematic diagram of an abnormal peak segment and a comparison curve segment in the same detection area provided by an embodiment of the present invention. Detailed Embodiments

[0042] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following, in combination with the drawings and preferred embodiments, details the specific embodiments, structures, features, and effects of a method, system, and device for measuring the deformation of a crankshaft proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0043] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0044] The following specifically describes the specific solutions of a crankshaft deformation measurement method, system, and device provided by the present invention in conjunction with the accompanying drawings.

[0045] Please refer to Figure 1 , which shows a flowchart of a crankshaft deformation measurement method provided by an embodiment of the present invention. The method includes:

[0046] Step S1: Perform multiple size measurements on each detection area of the crankshaft. Each size measurement obtains a size curve for one week of the crankshaft cross-section, and the lateral measurement positions are different for different size measurements.

[0047] The crankshaft is composed of multiple staggered shaft bodies. Therefore, deformation measurement needs to be performed on each shaft body. In the embodiment of the present invention, each shaft body is regarded as a detection area. Since the detection area has an obvious width, and the contact surface of the dial indicator tip used in the measurement process is much smaller than the area of the detection area, the present invention performs multiple size measurements on each detection area in real time. As Figure 2 shown, which shows a schematic diagram of a crankshaft deformation measurement scenario provided by an embodiment of the present invention. As Figure 2 shown, the crankshaft 1 is supported by the support assembly 2. The dial indicator tip 3 rotates one week on the crankshaft, and the readings at each position on this week are obtained. Therefore, each size measurement can obtain a size curve for one week of the crankshaft cross-section. The abscissa of the size curve is time, and the ordinate is the reading.

[0048] In the embodiment of the present invention, five detection points are evenly set in the lateral direction of a detection area, that is, five size measurements are performed on each detection area. During each size measurement, the reading sampling interval is set to 0.5 seconds within the time sequence range of one rotation of the crankshaft.

[0049] Step S2: For multiple size curves under each detection area, obtain the fluctuation significance of each size curve according to the protrusion degree of the wave peaks on each size curve; screen out abnormal reading curves according to the fluctuation significance and the differences between the size curves.

[0050] Impurities, attachments, and other factors on the surface of the crankshaft can cause measurement errors. However, since the dimensional curve in the embodiment of the present invention is a curve in the time series range where the probe head goes around the crankshaft for one week, if there are impurities in a certain part, obvious fluctuations will appear on the dimensional curve. The deformation of the crankshaft may also cause fluctuations, but the deformation of the crankshaft comes from the geometric shape deviation of the crankshaft itself, so its fluctuation period is longer and the fluctuation has a larger time span in time series; the positions and sizes of the impurities are irregular, so short and high-frequency fluctuation changes will appear on the curve. Therefore, for the dimensional curve in each detection area, the fluctuation significance of each dimensional curve can be obtained according to the protrusion degree of the wave peaks on each dimensional curve. The greater the fluctuation significance, the more likely it is that the dimensional curve is affected by the impurities on the surface of the crankshaft during dimensional measurement. Therefore, the abnormal reading curves can be screened out according to the fluctuation significance.

[0051] Preferably, in an embodiment of the present invention, the method for obtaining the fluctuation significance includes:

[0052] For each dimensional curve, obtain the wave peak data segments on the dimensional curve, and obtain the average time period length of all wave peak data segments. That is, the shorter the average time length, the more it indicates that the wave peaks on the dimensional curve are all short wave peaks. Therefore, the ratio of the number of wave peak data segments to the average time period length is used as the fluctuation significance. That is, the more the number, the greater the frequency of the wave peak data segments, and the greater the fluctuation significance; the shorter the average time period length, the more likely it is that the short fluctuations are caused by impurities, and the greater the fluctuation significance.

[0053] It should be noted that since the crankshaft usually does not produce obvious deformation, the dimensional curve of a normal crankshaft should be a curve with slow changes and approximately a straight line. And the wave peaks caused by errors can be regarded as sudden changes on a smooth curve. Therefore, by using the method of adaptive clustering for the readings on the dimensional curve, the normal reading categories can be obtained, and the continuous abnormal readings are the wave peak data segments. The specific clustering algorithm is a well-known technical means for those skilled in the art and will not be elaborated here.

[0054] The abnormal reading curve caused by the impurities on the surface of the crankshaft will have an obvious difference from the normal dimensional curve due to the fluctuations on the curve. Therefore, the abnormal reading curve can be further determined by comparing the differences between the dimensional curves. That is, if the fluctuation significance of a dimensional curve is large and there is a large dimensional difference from other dimensional curves, it indicates that the dimensional curve is an abnormal reading curve, otherwise it is a non-abnormal reading curve.

[0055] Preferably, in an embodiment of the present invention, the method for screening the abnormal reading curves includes:

[0056] For each dimension curve, an abnormality degree is obtained according to the difference distance between the dimension curve and other dimension curves, as well as the fluctuation significance degree of the dimension curve; if the abnormality degree is greater than a preset abnormality threshold, the dimension curve is used as an abnormal reading curve. In the embodiment of the present invention, after obtaining the abnormality degree, it is normalized by range normalization, and the abnormality threshold is set to 0.85.

[0057] Further, in the embodiment of the present invention, the difference distance is the DTW distance, and the DTW distance can be obtained by using the dynamic time warping algorithm, which is a well-known technical means for those skilled in the art and will not be elaborated here. For a dimension curve, the cumulative value of the difference distances between the dimension curve and all other dimension curves is obtained, that is, the larger the cumulative value of the difference distances, the more likely the dimension curve is an abnormal reading curve. Further, the maximum value of the fluctuation significance degrees among all dimension curves is used as a reference value. For each dimension curve, the closer its fluctuation significance degree is to the reference value, the more likely the dimension curve is an abnormal reading curve caused by surface impurities. Therefore, the abnormal fluctuation degree of each dimension curve is obtained according to the difference between the fluctuation significance degree and the reference value. The abnormality degree can be obtained according to the abnormal fluctuation degree and the cumulative value of the difference distances.

[0058] In the embodiment of the present invention, the method for obtaining the abnormal fluctuation degree includes: performing a negative correlation mapping on the difference between the reference value and the fluctuation significance degree of the dimension curve to obtain the abnormal fluctuation degree. The negative correlation mapping method adopts the reciprocal form. At the same time, in order to prevent the denominator from being 0, the reciprocal of the sum of the difference and a positive integer 1 is used as the abnormal fluctuation degree.

[0059] In the embodiment of the present invention, since both the abnormal fluctuation degree and the cumulative value of the difference distances are positively correlated with the abnormality degree, the product of the two is used as the abnormality degree.

[0060] Step S3: Screen out abnormal peak segments on the abnormal reading curve, and obtain a comparison curve segment at the same position as the abnormal peak segment on the non-abnormal reading curve in the same detection area; smooth the abnormal peak segment according to the difference between the comparison curve segment and the abnormal peak segment to obtain a corrected reading curve.

[0061] Multiple dimensional measurements are performed on a detection area, and each dimensional measurement only has a different lateral measurement position. Therefore, for an abnormal reading curve, the non-abnormal reading curve in the same detection area has strong reference significance, and the peak data segment on the abnormal reading curve is the object to be smoothed. Therefore, in the embodiment of the present invention, the abnormal peak tons on the abnormal reading curve are first determined, and on the nearest non-abnormal reading curve in the same detection area segment, a comparison curve segment at the same position as the abnormal peak segment is obtained as a reference. The nearest non-abnormal reading curve is the one with the closest lateral measurement position. Since the multiple measurements in an embodiment of the present invention are performed by moving laterally at a fixed step size, it is also the one with the closest measurement order.

[0062] Taking the comparison curve segment as a reference, the abnormal peak segment can be smoothed according to the difference between the comparison curve segment and the abnormal peak segment. After smoothing all the abnormal peak segments, a corrected reading segment can be obtained. Please refer to Figure 3 , which shows a comparison schematic diagram of the abnormal peak segment and the comparison curve segment in the same detection area provided by an embodiment of the present invention. The boxed peak segment is the abnormal peak segment, and the data segment of the non-abnormal reading curve in the same time sequence range as the abnormal peak segment is the comparison data segment.

[0063] Preferably, in the embodiment of the present invention, the method for obtaining the abnormal peak segment includes:

[0064] For each peak data segment on each abnormal reading curve, the protrusion degree of the peak data segment is obtained according to the time interval and reading interval of the peak data segment. That is, the shorter the time interval and the longer the reading interval, the more abnormal the peak data segment is. If the protrusion degree is greater than the preset protrusion threshold, the peak data segment is taken as the abnormal peak segment.

[0065] In the embodiment of the present invention, the length ratio between the reading interval and the time interval is used as the protrusion degree. After normalizing the protrusion degree, the protrusion threshold is set to 0.8.

[0066] Preferably, in the embodiment of the present invention, the method for obtaining the corrected reading curve includes:

[0067] For each data point to be corrected in the abnormal peak segment, the reading difference between the data point at the same position on the comparison curve segment and the corrected data point is obtained; according to the reading difference and the time distance between the abnormal peak segment and the comparison curve segment, the correction amount is obtained.

[0068] If the reading difference is positive, it indicates that data compensation needs to be performed on the data to be corrected at this time. Add the reading of the data point to be corrected and the correction amount to obtain the corrected reading. If the reading difference is negative, it indicates that data weakening needs to be performed on the data to be corrected at this time. Subtract the correction amount from the reading of the data point to be corrected to obtain the corrected reading. If the reading difference is 0, no correction is performed.

[0069] It should be noted that, under the implementation circumstances of the embodiments of the present invention, the correction of the abnormal wave peak segment is usually a data weakening process, and the probabilities of the other two cases are relatively small.

[0070] Correct all the data points to be corrected in all abnormal wave peak segments to obtain a corrected reading curve.

[0071] Further, the method for obtaining the correction amount includes:

[0072] Perform a negative correlation mapping and normalization processing on the time distance between the abnormal wave peak segment and the comparison curve segment to obtain a time weight, and take the product of the time weight and the absolute value of the reading difference as the correction amount. It should be noted that in the embodiments of the present invention, the negative correlation mapping and normalization method is: take the opposite number of the time distance as the power of the exponential function with the natural constant as the base, and the function mapping result is the time weight. That is, the closer the distance between the abnormal wave peak segment and the comparison curve segment is, the greater the referenceability is, and the greater the correction amount should be based on the comparison curve segment. Therefore, an accurate correction amount can be obtained by weighting the time weight and the absolute value of the reading difference.

[0073] Step S4: Determine the deformation degree of the crankshaft according to the reading information on the corrected reading curve and the non-abnormal reading curve for each detection area on the crankshaft.

[0074] Since the size curve of the crankshaft should be a smooth curve approximately parallel to a straight line under normal circumstances, the deformation degree of the crankshaft can be determined based on the reading information on the corrected reading curve and the non-abnormal reading curve for each detection area on the crankshaft.

[0075] Preferably, in the embodiments of the present invention, the corrected reading curve and the non-abnormal reading curve are used as the curves to be analyzed, the curve difference between the curves to be analyzed and the preset standard reading curve is obtained, and the average curve difference of all the curves to be analyzed is used as the deformation degree. That is, the greater the curve difference, the greater the deformation degree of the crankshaft. It should be noted that in the embodiments of the present invention, the standard reading curve is set as a straight line parallel to the abscissa, and the specific intercept setting can be set according to the crankshaft size, which is not limited and elaborated here.

[0076] In summary, in the embodiment of the present invention, the readings obtained from the dimensional measurement are plotted into a dimensional curve, and the abnormal reading curves are screened out according to the fluctuation significance degree of the dimensional curve. For the abnormal peak segments on the abnormal reading curves, targeted smoothing is performed. There are non-abnormal reading curves available for reference in the dimensional curves of a certain detection area. By using these as a comparison, the smoothing result of the abnormal peak segments can be obtained, and the corrected reading curve can be obtained. Based on the corrected reading curve and the non-abnormal reading curve, the deformation degree of the crankshaft is obtained. The present invention eliminates the influence of impurities on the surface of the crankshaft on the measurement readings and obtains the accurate deformation degree of the crankshaft.

[0077] Based on the same inventive concept, the present invention also provides a crankshaft deformation measurement system, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of any one of the crankshaft deformation measurement methods are implemented.

[0078] The present invention also provides a crankshaft deformation measurement device, which includes:

[0079] A crankshaft dimension detection module, configured to perform multiple dimension measurements on each detection area of the crankshaft. Each dimension measurement obtains a dimensional curve of one week of the crankshaft cross-section, and the lateral measurement positions of different dimension measurements are different.

[0080] An abnormal reading curve screening module, configured to, for multiple dimensional curves in each detection area, obtain the fluctuation significance degree of each dimensional curve according to the peak protrusion degree of each dimensional curve. According to the fluctuation significance degree and the difference between the dimensional curves, the abnormal reading curves are screened out.

[0081] An abnormal reading correction module, configured to screen out the abnormal peak segments on the abnormal reading curves, and obtain a comparison curve segment at the same position as the abnormal peak segment on the non-abnormal reading curves in the same detection area. According to the difference between the comparison curve segment and the abnormal peak segment, the abnormal peak segment is smoothed to obtain a corrected reading curve.

[0082] A deformation degree detection module, configured to determine the deformation degree of the crankshaft according to the reading information on the corrected reading curves and the non-abnormal reading curves on each detection area of the crankshaft.

[0083] It should be noted that: the above sequence of the embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0084] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other, and the key point of each embodiment is to illustrate the differences from other embodiments.

Claims

1. A method for measuring crankshaft deformation, characterized in that: The method comprises: Multiple dimension measurements are performed on each inspection area of ​​the crankshaft, and a dimension curve of one circumference of the crankshaft section is obtained for each dimension measurement. The lateral measurement positions of different dimension measurements are different. For multiple dimension curves under each detection area, the fluctuation significance of each dimension curve is obtained according to the protrusion degree of the wave peak on each dimension curve; and the abnormal reading curve is screened out according to the fluctuation significance and the difference between the dimension curves; An abnormal peak segment is screened out on the abnormal reading curve, and a comparison curve segment at the same position as the abnormal peak segment is obtained on the nearest non-abnormal reading curve under the same detection area; the abnormal peak segment is smoothed according to the difference between the comparison curve segment and the abnormal peak segment to obtain a corrected reading curve; The deformation degree of the crankshaft is determined based on the correction reading curve on each detection area on the crankshaft and the reading information on the non-abnormal reading curve.

2. A crankshaft deformation measurement method according to claim 1, characterized in that: The method for obtaining the fluctuation significance includes: For each dimension curve, the peak data segment on the dimension curve is obtained, the average time period length of all the peak data segments is obtained, and the ratio of the number of peak data segments to the average time period length is used as the fluctuation significance.

3. A crankshaft deformation measurement method according to claim 1, characterized in that: The screening method of the abnormal reading curve comprises: For each dimension curve, the degree of abnormality is obtained according to the difference distance between the dimension curve and other dimension curves and the magnitude of the fluctuation significance of the dimension curve; If the abnormality degree is greater than a preset abnormality threshold, the dimension curve is used as an abnormal reading curve.

4. A crankshaft deformation measurement method according to claim 3, characterized in that: The method for obtaining the abnormality degree includes: The difference distance is the DTW distance, and the accumulated value of the difference distance between the dimension curve and all other dimension curves is obtained; The maximum value of the fluctuation significance of all dimension curves is taken as a reference value. For each dimension curve, the abnormal fluctuation degree of each dimension curve is obtained according to the difference between the fluctuation significance of the dimension curve and the reference value, and the abnormal degree is obtained according to the abnormal fluctuation degree and the accumulated value of the difference distance.

5. A crankshaft deformation measurement method according to claim 1, characterized in that: The method for obtaining the abnormal peak segment includes: For each peak data segment on each abnormal reading curve, the protrusion degree of the peak data segment is obtained according to the time interval and reading interval of the peak data segment; if the protrusion degree is greater than the preset protrusion threshold, the peak data segment is regarded as an abnormal peak segment.

6. A crankshaft deformation measurement method according to claim 1, characterized in that: The method for obtaining the modified reading curve comprises: For each to-be-corrected data point of the abnormal peak segment, a reading difference between a data point at the same position on the comparison curve segment and the correction data point is obtained; a correction amount is obtained according to the reading difference and a time distance between the abnormal peak segment and the comparison curve segment; If the reading difference is a positive number, the reading of the data point to be corrected is added to the correction amount to obtain a corrected reading; If the reading difference is a negative number, subtract the reading of the data point to be corrected from the correction amount to obtain a corrected reading; If the reading difference is 0, no correction is performed; All the data points to be corrected in all the abnormal peak segments are corrected to obtain the corrected reading curve.

7. A crankshaft deformation measurement method according to claim 6, characterized in that: The method for obtaining the correction amount includes: The time distance between the abnormal peak segment and the comparison curve segment is negatively correlated and normalized to obtain a time weight, and the product of the time weight and the absolute value of the reading difference is used as the correction amount.

8. A crankshaft deformation measurement method according to claim 1, characterized in that: The method for obtaining the deformation degree includes: The corrected reading curve and the non-abnormal reading curve are used as the curves to be analyzed, the curve difference between the curve to be analyzed and the preset standard reading curve is obtained, and the average curve difference of all the curves to be analyzed is used as the deformation degree.

9. A crankshaft deformation measurement system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of a crankshaft deformation measurement method as described in any one of claims 1 to 8 are implemented.

10. A crankshaft deformation measuring device, characterized in that: The device comprises: The crankshaft dimension detection module is used to perform multiple dimension measurements on each detection area of ​​the crankshaft. Each dimension measurement obtains a dimension curve of the crankshaft cross section. The lateral measurement positions of different dimension measurements are different. The abnormal reading curve screening module is used to obtain the fluctuation significance of each dimension curve according to the peak protrusion degree of each dimension curve for multiple dimension curves under each detection area; and screen out the abnormal reading curve according to the fluctuation significance and the difference between the dimension curves; An abnormal reading correction module is used to screen out an abnormal peak segment on the abnormal reading curve, and obtain a comparison curve segment at the same position as the abnormal peak segment on the non-abnormal reading curve under the same detection area; smooth the abnormal peak segment according to the difference between the comparison curve segment and the abnormal peak segment to obtain a corrected reading curve; The deformation detection module is used to determine the deformation of the crankshaft according to the correction reading curve on each detection area on the crankshaft and the reading information on the non-abnormal reading curve.

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