Crankshaft deformation measurement method, system and device

Abstract

The present invention relates to the technical field of crankshaft dimension measurement, and in particular to a method, system, and device for measuring crankshaft deformation. The method plots the readings obtained from the dimension measurement into a dimension curve, and screens out abnormal reading curves based on the degree of fluctuation significance of the dimension curve. Targeted smoothing is performed on the abnormal peak segment on the abnormal reading curve. In the dimension curve of a detection area of a section, there is a non-abnormal reading curve that can be used for reference. By using this as a comparison, the smoothing result of the abnormal peak segment can be obtained, and a corrected reading curve can be obtained. The deformation degree of the crankshaft is obtained based on the corrected reading curve and the non-abnormal reading curve. The present invention eliminates the influence of impurities on the crankshaft surface on the measurement readings, and obtains the accurate deformation degree of the crankshaft.

Description

Technical Field

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

[0002] The crankshaft is a critical component in mechanical devices such as engines. It is subject to the combined effects of centrifugal force from the rotating mass, periodically changing gas inertia, and reciprocating inertia, which in turn subject the crankshaft to bending and torsional loads. Therefore, regularly measuring and evaluating engine crankshaft deformation can ensure smooth and safe engine operation, reduce maintenance costs, and extend engine life.

[0003] In the actual process of dimensional inspection of the crankshaft, because the crankshaft to be inspected is not a newly produced crankshaft, there will be impurities covering the surface of the crankshaft. During the inspection process, the side head of the micrometer will cause local deviation in the reading at the position of the impurities, resulting in errors in the inspection. Summary of the Invention

[0004] In order to solve the technical problem in the prior art of measuring crankshaft dimensions, which is caused by environmental factors such as surface impurities, resulting in measurement data errors, the present invention aims to provide a crankshaft deformation measurement method, system and device. The technical solutions adopted are as follows:

[0005] The present invention provides a method for measuring crankshaft deformation, the method comprising:

[0006] Multiple dimensional measurements are performed on each inspection area of the crankshaft. Each dimensional measurement obtains a dimensional curve of the crankshaft cross section. The lateral measurement positions of different dimensional measurements are different.

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

[0008] 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 within 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;

[0009] 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.

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

[0011] For each size curve, the peak data segments on the size curve are 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.

[0012] Furthermore, the method for screening abnormal reading curves includes:

[0013] 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 significance of the fluctuation of the dimension curve;

[0014] If the abnormality degree is greater than a preset abnormality threshold, the size curve is used as an abnormal reading curve.

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

[0016] The difference distance is the DTW distance, and the accumulated difference distance between the dimension curve and all other dimension curves is obtained;

[0017] The maximum value of the fluctuation significance of all dimension curves is used 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 cumulative value of the difference distance.

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

[0019] 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.

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

[0021] For each data point to be corrected in 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; and a correction amount is obtained based on the reading difference and the time distance between the abnormal peak segment and the comparison curve segment.

[0022] 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;

[0023] 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;

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

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

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

[0027] 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.

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

[0029] 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.

[0030] The present invention also proposes a crankshaft deformation measurement system, comprising 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 system implements the steps of any one of the crankshaft deformation measurement methods.

[0031] The present invention also provides a crankshaft deformation measuring device, comprising:

[0032] 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.

[0033] An abnormal reading curve screening module is used to obtain the fluctuation significance of each dimension curve according to the degree of peak protrusion on each dimension curve for multiple dimension curves in each detection area; and screen out abnormal reading curves according to the fluctuation significance and the difference between the dimension curves;

[0034] An abnormal reading correction module is configured to screen out an abnormal peak segment on the abnormal reading curve, obtain a comparison curve segment at the same position as the abnormal peak segment on a non-abnormal reading curve within the same detection area, and smooth the abnormal peak segment based on the difference between the comparison curve segment and the abnormal peak segment to obtain a corrected reading curve;

[0035] The deformation detection module is used to determine the deformation of the crankshaft based on the correction reading curve on each detection area on the crankshaft and the reading information on the non-abnormal reading curve.

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

[0037] The embodiment of the present invention takes into account that the impurities on the crankshaft surface may be equivalent to the protrusions on the surface, and therefore the readings obtained from the dimensional measurement are plotted into a dimensional curve. Then, the protrusion position will form a peak on the dimensional curve, and therefore the abnormal reading curve is further screened out according to the significance of the fluctuation of the dimensional curve. Targeted smoothing can be performed on the abnormal peak segment on the abnormal reading curve, because measurement processes at different lateral positions are set in a detection area of a section on the crankshaft, and abnormalities such as impurities on the crankshaft surface will not exist over a large area. Therefore, there is a non-abnormal reading curve that can be used for reference in the dimensional curve of a detection area of a section. By using 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 crankshaft surface on the measurement reading can be eliminated, and the accurate deformation degree of the crankshaft can be obtained. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0039] Figure 1 A flow chart of a crankshaft deformation measurement method provided by one embodiment of the present invention;

[0040] Figure 2 A schematic diagram of a crankshaft deformation measurement scenario provided by an embodiment of the present invention;

[0041] Figure 3 A schematic diagram showing the comparison between an abnormal peak segment and a comparison curve segment in the same detection area provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0042] To further illustrate the technical means and effectiveness of the present invention in achieving its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail a crankshaft deformation measurement method, system, and device according to the present invention, including its specific implementation, structure, features, and effectiveness. In the following description, references to different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0043] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0044] The specific scheme of the crankshaft deformation measurement method, system and device provided by the present invention is described in detail below with reference to the accompanying drawings.

[0045] See also Figure 1 , which shows a flow chart of a crankshaft deformation measurement method provided by one embodiment of the present invention, the method comprising:

[0046] Step S1: Perform multiple dimensional measurements on each inspection area of the crankshaft, and obtain a dimensional curve of the crankshaft cross section for each dimensional measurement. The lateral measurement positions of different dimensional measurements are different.

[0047] The crankshaft is composed of multiple staggered shaft sections, so each shaft section needs to be deformed. Therefore, the embodiment of the present invention regards each shaft section as a detection area. Because the detection area has a significant width, and the contact surface of the micrometer side head used in the measurement process is much smaller than the area of the detection area, the present invention is set to perform multiple dimensional measurements on each detection area in real time. Figure 2 As shown, it shows a schematic diagram of a crankshaft deformation measurement scenario provided by an embodiment of the present invention, such as Figure 2 As shown, crankshaft 1 is supported by support assembly 2. A micrometer head 3 is used to rotate the crankshaft once, and a reading is obtained at each position along the entire rotation. Therefore, each dimensional measurement produces a dimensional curve for each rotation of the crankshaft cross section. The horizontal axis of the dimensional curve represents time, and the vertical axis represents the reading.

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

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

[0050] Factors such as impurities and attachments on the crankshaft surface can cause measurement errors. However, since the dimensional curve of the embodiment of the present invention is a curve on a time series range around the crankshaft, if there are impurities in a certain part, obvious fluctuations will be shown on the dimensional curve. Crankshaft deformation may also cause fluctuations, but crankshaft deformation 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 the time series; and the position and size of impurities are irregular, so the curve will show short and high-frequency fluctuations. Therefore, for the dimensional curve under each detection area, the fluctuation significance of each dimensional curve can be obtained according to the degree of peak protrusion on each dimensional curve. The greater the fluctuation significance, the more likely the dimensional curve is affected by impurities on the crankshaft surface during dimensional measurement. Therefore, abnormal reading curves can be screened out according to the fluctuation significance.

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

[0052] For each size curve, peak data segments are obtained, and the average time segment length of all peak data segments is calculated. The shorter the average time segment length, the more transient the peaks on that size curve are. Therefore, the ratio of the number of peak data segments to the average time segment length is used as the fluctuation significance. A greater number of peak data segments indicates a greater frequency of peak data segments, and thus a greater fluctuation significance. A shorter average time segment length indicates a greater likelihood of transient fluctuations caused by impurities, and thus a greater fluctuation significance.

[0053] It should be noted that since crankshafts typically do not experience significant deformation, the dimensional curve of a normal crankshaft should be a slowly changing curve that approximates a straight line. The peaks caused by errors can be viewed as sudden changes on a gentle curve. Therefore, the readings on the dimensional curve can be adaptively clustered to obtain normal reading categories, with consecutive abnormal readings representing peak data segments. The specific clustering algorithm is well known to those skilled in the art and will not be described in detail here.

[0054] Abnormal reading curves caused by impurities on the crankshaft surface can cause significant differences from normal dimensional curves due to fluctuations in the curve. Therefore, abnormal reading curves can be further identified by comparing the differences between dimensional curves. In other words, if a dimensional curve has a significant fluctuation and a large dimensional difference from other dimensional curves, it is an abnormal reading curve; otherwise, it is a normal reading curve.

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

[0056] For each dimension curve, the degree of anomaly is determined based on the difference between the dimension curve and other dimension curves, as well as the significance of the fluctuation in the dimension curve. If the degree of anomaly exceeds a preset anomaly threshold, the dimension curve is considered an abnormal reading curve. In this embodiment of the present invention, the obtained anomaly degree is normalized using range standardization, and the anomaly threshold is set to 0.85.

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

[0058] In an embodiment of the present invention, a method for obtaining the degree of abnormal fluctuation includes performing negative correlation mapping on the difference between the reference value and the fluctuation significance of the dimension curve to obtain the degree of abnormal fluctuation. The negative correlation mapping method uses a reciprocal form, and to prevent the denominator from being zero, the reciprocal of the difference plus the positive integer 1 is used as the degree of abnormal fluctuation.

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

[0060] Step S3: Filter out the 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.

[0061] Multiple dimensional measurements are performed on a detection area, and each dimensional measurement differs only in the horizontal measurement position. Therefore, for the abnormal reading curve, the non-abnormal reading curve in the same detection area has a strong reference value. The peak data segment on the abnormal reading curve is the object that needs to be smoothed. Therefore, the embodiment of the present invention first determines the abnormal peak on the abnormal reading curve. On the nearest non-abnormal reading curve in the same detection area, 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 horizontal measurement position. Because the multiple measurements in one embodiment of the present invention are performed with a fixed step size and are therefore the closest in measurement order.

[0062] With 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 abnormal peak segments, the corrected reading segment can be obtained. Figure 3 , which shows a schematic diagram of the comparison between the abnormal peak segment and the comparison curve segment in the same detection area provided by an embodiment of the present invention, wherein the peak segment selected in the box is the abnormal peak segment, and the data segment of the non-abnormal reading curve in the same sequence range of the abnormal peak segment is the comparison data segment.

[0063] Preferably, in an 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 peak data segment's prominence is determined based on its time interval and reading interval. Specifically, the shorter the time interval and the longer the reading interval, the more abnormal the peak data segment. If the prominence exceeds a preset prominence threshold, the peak data segment is considered abnormal.

[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 the protrusion degree is normalized, the protrusion threshold is set to 0.8.

[0066] Preferably, in an 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 correction data point is obtained; the correction amount is obtained based on the reading difference and the time distance between the abnormal peak segment and the comparison curve segment.

[0068] If the reading difference is positive, it means that the data to be corrected needs to be compensated. The reading of the data point to be corrected is added to the correction amount to obtain the corrected reading. If the reading difference is negative, it means that the data to be corrected needs to be weakened. The reading of the data point to be corrected is subtracted from the correction amount to obtain the corrected reading. If the reading difference is 0, no correction is performed.

[0069] It should be noted that, in the implementation of the embodiment of the present invention, the correction of the abnormal peak segment is usually a data weakening process, and the other two situations are less likely.

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

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

[0072] 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. It should be noted that in the embodiment of the present invention, the negative correlation mapping and normalization method is: the inverse of the time distance is used as the power of an exponential function with a natural constant as the base, and the function mapping result is the time weight. That is, the closer the distance between the abnormal peak segment and the comparison curve segment, the greater the reference, and the larger the correction amount should be based on the comparison curve segment. Therefore, the accurate correction amount can be obtained by weighting the time weight and the absolute value of the reading difference.

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

[0074] Since the dimension curve of the crankshaft should be a gentle curve that is approximately a straight line under normal circumstances, the deformation of the crankshaft can be determined based on the correction reading curve on each detection area on the crankshaft and the reading information on the non-abnormal reading curve.

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

[0076] In summary, the embodiments of the present invention plot the readings obtained from dimensional measurement into a dimensional curve, and screen out abnormal reading curves based on the significance of the fluctuations in the dimensional curve. Targeted smoothing is performed on the abnormal peak segments on the abnormal reading curve. A non-abnormal reading curve that can be used as a reference is present in the dimensional curve of a detection area. This is used as a comparison to obtain the smoothed result of the abnormal peak segment, thereby obtaining a corrected reading curve. The deformation degree of the crankshaft is obtained based on the corrected reading curve and the non-abnormal reading curve. The present invention eliminates the influence of impurities on the crankshaft surface on the measured readings, thereby obtaining an accurate deformation degree of the crankshaft.

[0077] Based on the same inventive concept, the present invention also proposes a crankshaft deformation measurement system, including a memory, a processor, and a computer program stored in the memory and runnable 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 proposes a crankshaft deformation measuring device, which includes:

[0079] 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.

[0080] The abnormal reading curve screening module is used to obtain the fluctuation significance of each dimension curve based on the degree of peak protrusion on each dimension curve for multiple dimension curves within each detection area. Abnormal reading curves are screened out based on the fluctuation significance and the differences between dimension curves.

[0081] The abnormal reading correction module is used to filter 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 within the same detection area. The abnormal peak segment is smoothed based on the difference between the comparison curve segment and the abnormal peak segment to obtain a corrected reading curve.

[0082] The deformation detection module is used to determine the deformation of the crankshaft based on the correction reading curve on each detection area on the crankshaft and the reading information on the non-abnormal reading curve.

[0083] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0084] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A method for measuring crankshaft deformation, characterized in that: The method comprises: Multiple dimensional measurements are performed on each inspection area of the crankshaft. Each dimensional measurement obtains a dimensional curve of the crankshaft cross section. The lateral measurement positions of different dimensional measurements are different. For the multiple dimension curves under each detection area, the fluctuation significance of each dimension curve is obtained according to the degree of peak protrusion on each dimension curve; and abnormal reading curves are screened out according to the fluctuation significance and the differences 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 within 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 size curve, the peak data segments on the size curve are 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. The crankshaft deformation measurement method according to claim 1, characterized in that: The screening method for the abnormal reading curve includes: 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 significance of the fluctuation of the dimension curve; If the abnormality degree is greater than a preset abnormality threshold, the size 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 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 used 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 cumulative value of the difference distance.

5. The 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. The crankshaft deformation measurement method according to claim 1, characterized in that: The method for obtaining the corrected reading curve includes: For each data point to be corrected in 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; and a correction amount is obtained based on the reading difference and the 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. The 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, wherein: When the processor executes the computer program, the steps of the crankshaft deformation measurement method according to 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. An abnormal reading curve screening module is used to obtain the fluctuation significance of each dimension curve according to the degree of peak protrusion on each dimension curve for multiple dimension curves in each detection area; and screen out abnormal reading curves according to the fluctuation significance and the difference between the dimension curves; An abnormal reading correction module is configured to screen out an abnormal peak segment on the abnormal reading curve, obtain a comparison curve segment at the same position as the abnormal peak segment on a non-abnormal reading curve within the same detection area, and smooth the abnormal peak segment based on 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 based on 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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