A production management method based on MES intelligent manufacturing

Abstract

The present invention relates to the field of MES manufacturing execution management technology, and specifically, to a production management method based on MES intelligent manufacturing, including a manufacturing execution system MES continuously acquiring the operating parameters of multiple key equipment in the production process of corrugated connecting pipes and the quality inspection parameters of the finished corrugated connecting pipes, and correcting or warning the operating parameters of key equipment based on the quality inspection parameters of the finished corrugated connecting pipes. The key equipment includes a cutting mechanism for cutting pipe blanks and a corrugation mechanism for making middle-section corrugations, and the quality inspection parameters include a spectral pattern for characterizing the shape parameters of the middle-section corrugations. The present invention integrates a vision-based artificial intelligence algorithm into the existing MES system to realize automatic recognition and consistency judgment of the middle-section corrugation shape on the corrugated connecting pipe, and sends a warning instruction in time when an abnormality occurs, which effectively improves the intelligence level of the MES system, reduces the manual participation in the production process, and effectively improves the consistency of the finished product.

Description

Technical Field

[0001] The present invention relates to the technical field of MES manufacturing execution management, and in particular to a production management method based on MES intelligent manufacturing. Background Art

[0002] MES, or Manufacturing Execution System, is a computerized system used to monitor, track and control the production process in real time. It is often used for quality control at each process stage of the corrugated connecting pipe production line. It can automatically collect quality data, conduct statistical analysis, and generate corresponding quality assessment reports or quality warning instructions to ensure that the products meet quality standards and customer requirements. However, the current MES system has a low level of intelligence and is unable to automatically detect finished corrugated connecting pipes. Quality control is achieved only through manual sampling and inputting quality inspection parameters into the MES system. However, with the popularization of big data and artificial intelligence algorithms, improving the intelligence of MES based on relevant algorithms has become a development trend of the MES system.

[0003] Secondly, the preparation process of the corrugated connecting pipe is mainly divided into embryonic tube cutting, middle section corrugation shaping and end hole expansion and grinding. The consistency of the middle section corrugation shaping is usually the main quality indicator for evaluating the corrugated connecting pipe. Therefore, how to realize the intelligent quality inspection of corrugated connecting pipe products by MES system based on artificial intelligence algorithm and big data, and then improve the consistency of products has become a problem to be solved urgently. Summary of the invention

[0004] The purpose of the present invention is to provide a production management method based on MES intelligent manufacturing to improve the above-mentioned problem of how to realize intelligent quality inspection of corrugated connecting pipe products by MES system based on artificial intelligence algorithm and big data and thus improve the consistency of product quality.

[0005] In order to achieve the above objectives, the present application provides the following technical solutions:

[0006] On the one hand, the embodiment of the present application provides a production management method based on MES intelligent manufacturing, the method comprising: the manufacturing execution system MES continuously obtains the operating parameters of multiple key equipment in the production process of the corrugated connecting pipe and the quality inspection parameters of the finished corrugated connecting pipe, and corrects or warns the operating parameters of the key equipment based on the quality inspection parameters of the finished corrugated connecting pipe to ensure the high consistency of the product and improve the product quality. The key equipment includes a cutting mechanism for cutting pipe blanks and a corrugation mechanism for making middle-section corrugations. The quality inspection parameters include a spectral pattern for characterizing the shape parameters of the middle-section corrugations, and the spectral pattern is obtained by a laser measuring instrument;

[0007] Among them, the operation parameters of key equipment are corrected or warned based on the quality inspection parameters of the finished product of the corrugated connecting pipe, including: obtaining the spectral pattern fed back by the laser measuring instrument during the period when the finished product of the corrugated connecting pipe rotates once in the quality inspection area, and identifying multiple raised portion detection areas in the spectral pattern based on the color-based image feature algorithm, wherein the raised portion detection area is used to characterize the corrugated area in the middle section of the corrugated connecting pipe; calculating the first sum of variances corresponding to the fluctuation curve of the RGB value of each pixel block in each corrugated area during the period when the corrugated connecting pipe rotates once; constructing a virtual peak straight line based on the distribution of the peak color area in each corrugated area, and recording the left and right fluctuation curves of the virtual peak straight line during the period when the corrugated connecting pipe rotates once, and when the standard deviation corresponding to the fluctuation curve is less than the first threshold, finding the corresponding variance correction parameter in the operation and maintenance parameter table based on the standard deviation corresponding to the fluctuation curve, and correcting the first sum of variances based on the variance correction parameter, thereby reducing the corrugated cross-section flatness evaluation error caused by the offset of the corrugated top, and correcting the first sum of variances. The first sum of variances after correction is marked as the second sum of variances, which is used to evaluate the shape consistency of a single corrugated protrusion of the corrugated connecting pipe when it circles around the axial section, and then evaluate the telescopic consistency of each telescopic petal in the circular telescopic component in the corrugating mechanism, and whether the model of the circular telescopic component is suitable for the processing of the corrugated connecting pipe with the current inner diameter; when the standard deviations corresponding to multiple corrugated protrusions on the corrugated connecting pipe are all less than the first threshold, calculate the average of multiple standard deviations and the average of multiple second variance sums, and then obtain the mean of the standard deviation and the mean of the second variance sum; calculate the consistency evaluation value of the corrugated section of the corrugated connecting pipe through a weighted algorithm based on the mean of the standard deviation and the mean of the second variance sum; retrieve the consistency evaluation values ​​corresponding to multiple corrugated connecting pipes within the production cycle, and send an abnormal warning of the corrugated mechanism to the production management platform when the consistency evaluation value continues to decrease, so that the technicians can recalibrate the telescopic parameters of the circular telescopic component in the corrugated mechanism or replace the abnormal circular telescopic component.

[0008] Optionally, the operating parameters of key equipment are corrected or warned based on the quality inspection parameters of the finished product of the corrugated connecting pipe, including:

[0009] Before being sent into the corrugating mechanism, the cut pipe blanks slide into the measuring groove in turn, and when the pipe blanks hit the pressure trigger at the bottom of the measuring groove, the current placement status of the pipe blanks in the measuring groove is obtained by photographing with a high-speed camera, and the length of the current pipe blank is automatically identified based on the scale arranged on one side of the measuring groove and the preset image algorithm, and when the length fluctuation of multiple pipe blanks within a first time period exceeds a second threshold, an abnormal warning of the cutting mechanism is sent to the production management platform, so that the technicians can recalibrate the operating parameters of the conveying component or the clamping component in the cutting mechanism.

[0010] The beneficial effects of the present invention are:

[0011] The present invention integrates the vision-based artificial intelligence algorithm into the existing MES system to realize the automatic recognition and consistency judgment of the middle corrugation shape on the corrugated connecting pipe, and sends early warning instructions in time when an abnormality occurs, thereby effectively improving the intelligence level of the MES system and reducing the manual participation in the production process. At the same time, since the specifications and dimensions of all finished products are traversed and detected, the consistency of the finished products can be effectively improved, thereby improving product quality.

[0012] Secondly, the automatic identification and consistency judgment of the middle corrugation shape on the corrugated connecting pipe is mainly carried out through the laser measuring instrument located in the quality inspection area at the end of the finished product output port and the rotating component matched with the laser measuring instrument. The rotating component is located in the quality inspection area and is used to drive the finished corrugated connecting pipe to rotate once. During this period, the cross-sectional shape of the finished corrugated connecting pipe along the axial direction is continuously detected by the laser measuring instrument.

[0013] Secondly, the consistency of the corrugation shape in the middle section is evaluated in two aspects. On the one hand, the flatness of the corrugation. The greater the left-right swing of the corrugation peak, the lower the flatness. For the detection of this, the present invention constructs a virtual wave crest straight line, that is, a virtual center axis of a square, and detects the average left-right fluctuation amount of multiple virtual center axes during one rotation of the finished product of the corrugated connecting pipe to evaluate the flatness of multiple corrugations. The detection parameter is used to detect the installation angle or running angle of the circular telescopic component in the corrugation mechanism. When an angle deviation occurs, it will cause the wave crests of multiple corrugations on the corrugated connecting pipe to swing greatly from left to right.

[0014] On the other hand, the consistency of the cross-sectional shape of each annular corrugation in the axial direction is evaluated by the second sum of variances, which is used to detect whether there are abnormal telescopic petals in the circular telescopic component, which leads to inconsistent cross-sectional shape. However, since the reference data is the sum of the first variances corresponding to the fluctuation curve of the RGB values ​​of each pixel block during one rotation, that is, each pixel block corresponds to a fixed annular position, the value will be affected by the flatness of the corrugation. Therefore, it needs to be corrected to avoid the influence of the flatness of the corrugation. The specific correction parameters are obtained through multiple preliminary experiments. Secondly, this correction is only applicable to the case where the installation angle deviation is small, that is, when the standard deviation corresponding to the fluctuation curve is less than the first threshold.

[0015] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or be understood by implementing the embodiments of the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 It is a flowchart of a production management method based on MES intelligent manufacturing described in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions 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 part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0019] It should be noted that similar reference numerals or letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance. Example

[0020] like Figure 1 As shown, this embodiment provides a production management method based on MES intelligent manufacturing, and the method includes step S100.

[0021] Step S100, the manufacturing execution system MES continuously obtains the operating parameters of multiple key equipment in the production process of the corrugated connecting pipe and the quality inspection parameters of the finished corrugated connecting pipe, and corrects or warns the operating parameters of the key equipment based on the quality inspection parameters of the finished corrugated connecting pipe to ensure the high consistency of the product and improve the product quality. The key equipment includes a cutting mechanism for cutting pipe blanks and a corrugation mechanism for making middle-section corrugations. The quality inspection parameters include a spectral pattern for characterizing the shape parameters of the middle-section corrugations, and the spectral pattern is obtained by a laser measuring instrument;

[0022] Before explaining the detection and adjustment principle of the corrugator, one of the key equipment, the structure of the corrugator needs to be explained. The corrugator is a commonly used equipment in the processing of corrugated pipes. The corrugated protrusion is mainly formed by the circular telescopic component in the corrugation mechanism. When the circular telescopic component extends outward, it will push up a convex ring on the outer wall of the embryo tube, and then the convex ring is further extruded to form the corrugations on the corrugated pipe. The circular telescopic component is composed of multiple small arc-shaped telescopic petals. During the long-term reciprocating motion, the consistency of multiple telescopic petals will gradually deteriorate or individual telescopic petals will not work, or the entire circular telescopic component will have axial deviation, etc. These structural abnormalities will lead to abnormal corrugation of the corrugated pipe. Therefore, the abnormality of the circular telescopic component can be timely warned by detecting the shape parameters of the corrugation. The specific method is as follows:

[0023] Among them, the operating parameters of key equipment are corrected or warned based on the quality inspection parameters of the corrugated connecting pipe, including:

[0024] Step S110, obtaining a spectral pattern fed back by a laser measuring instrument during one rotation of the finished corrugated connecting pipe in the quality inspection area, the spectral pattern is used to characterize the height of the axial cross section of the corrugated connecting pipe, and a plurality of raised portion detection areas are identified in the spectral pattern based on a color-based image feature algorithm, the raised portion detection areas are used to characterize the corrugated area in the middle section of the corrugated connecting pipe;

[0025] Step S120, calculating the first sum of variances corresponding to the fluctuation curve of the RGB values ​​of each pixel block in each corrugated area during one rotation of the corrugated connecting tube, wherein the first sum of variances is used to preliminarily characterize the shape fluctuation or consistency of the axial cross section of the corrugated connecting tube within one rotation;

[0026] Step S130, based on the distribution of the peak color area in each corrugated area, a virtual wave peak straight line is constructed, and the virtual wave peak straight line is used to characterize the central axis of the corrugated protrusion, and the left and right fluctuation curves of the virtual wave peak straight line during the period when the corrugated connecting pipe rotates one circle are recorded, and when the standard deviation corresponding to the fluctuation curve is less than the first threshold value, that is, when the installation error angle of the circular telescopic component is within the preset angle, the corresponding variance correction parameter is found in the operation and maintenance parameter table based on the standard deviation corresponding to the fluctuation curve, and the first variance sum is corrected based on the variance correction parameter, so as to reduce the corrugation cross-section flatness assessment error caused by the offset of the corrugation top, and the corrected first variance sum is marked as the second variance sum, which is used to evaluate the shape consistency of a single corrugated protrusion of the corrugated connecting pipe when it is around the axial cross section, and then evaluate the telescopic consistency of each telescopic petal in the circular telescopic component in the wave beating mechanism, and whether the model of the circular telescopic component is suitable for the processing of the corrugated connecting pipe with the current inner diameter;

[0027] The step S130 of constructing a virtual peak straight line based on the distribution of the peak color area in each ripple area includes:

[0028] Step S131, identify the RGB value corresponding to the highest point of the peak, and use this as a reference to select all pixel points within a preset color difference, and then construct a peak color area, and detect whether there is a color fault exceeding the threshold in the peak color area. This fault usually indicates that there are obvious cracks on the corrugated surface. If it exists, the current corrugated connecting pipe finished product is marked as a defective product. If it does not exist, a virtual central axis is constructed based on the shape of the peak color area, which is recorded as a virtual peak straight line.

[0029] Step S140: when the standard deviations corresponding to the plurality of corrugated protrusions on the corrugated connecting pipe are all less than the first threshold, calculating the average of the plurality of standard deviations and the average of the plurality of second variance sums, and then obtaining the mean of the standard deviations and the mean of the second variance sums;

[0030] Step S150, calculating the consistency evaluation value of the corrugated section of the corrugated connecting pipe through a weighted algorithm based on the standard deviation mean and the second variance sum mean;

[0031] Step S160, retrieve the consistency evaluation values ​​corresponding to multiple corrugated connecting pipes in the production cycle, and send an abnormal warning of the corrugated mechanism to the production management platform when the consistency evaluation value continues to decrease, so that the technicians can recalibrate the telescopic parameters of the circular telescopic parts in the corrugated mechanism or replace the abnormal circular telescopic parts.

[0032] Secondly, in step S100, the operating parameters of key equipment are corrected or warned based on the quality inspection parameters of the finished product of the corrugated connecting pipe, which also includes:

[0033] Step S170, before the cut pipe blanks are sent into the wave beating mechanism, they slide into the measuring groove in sequence, and when the pipe blanks hit the pressure trigger at the bottom of the measuring groove, the current placement status of the pipe blanks in the measuring groove is obtained by photographing with a high-speed camera, and the length of the current pipe blank is automatically identified based on a scale provided on one side of the measuring groove and a preset image algorithm, and when the length fluctuation of multiple pipe blanks within a first time period exceeds a second threshold, an abnormal warning of the cutting mechanism is sent to the production management platform, so that the technicians can recalibrate the operating parameters of the conveying component or the clamping component in the cutting mechanism.

[0034] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A production management method based on MES intelligent manufacturing, characterized in that: The method comprises: The manufacturing execution system MES continuously obtains the operating parameters of multiple key equipment in the production process of the corrugated connecting pipe and the quality inspection parameters of the finished corrugated connecting pipe, and corrects or warns the operating parameters of the key equipment based on the quality inspection parameters of the finished corrugated connecting pipe. The key equipment includes a cutting mechanism for cutting pipe blanks and a corrugation mechanism for making middle-section corrugations. The quality inspection parameters include a spectral pattern for characterizing the shape parameters of the middle-section corrugations, and the spectral pattern is obtained by a laser measuring instrument; Among them, the operating parameters of key equipment are corrected or warned based on the quality inspection parameters of the corrugated connecting pipe, including: Obtain the spectral pattern fed back by the laser measuring instrument during one rotation of the finished corrugated connecting pipe in the quality inspection area, and identify multiple raised portion detection areas in the spectral pattern based on the color-based image feature algorithm, wherein the raised portion detection area is used to characterize the corrugated area in the middle section of the corrugated connecting pipe; Calculate the sum of first variances corresponding to fluctuation curves of RGB values ​​of each pixel block in each corrugated area during one rotation of the corrugated connecting tube; A virtual crest straight line is constructed based on the distribution of the peak color area in each corrugation area, and the left and right fluctuation curves of the virtual crest straight line during one rotation of the corrugated connecting pipe are recorded, and when the standard deviation corresponding to the fluctuation curve is less than the first threshold value, the corresponding variance correction parameter is found in the operation and maintenance parameter table based on the standard deviation corresponding to the fluctuation curve, and the first variance sum is corrected based on the variance correction parameter, thereby reducing the corrugation cross-section flatness assessment error caused by the offset of the corrugation top, and the corrected first variance sum is marked as the second variance sum; Among them, a virtual peak straight line is constructed based on the distribution of the peak color area in each corrugated area, including: identifying the RGB value corresponding to the highest point of the peak, and selecting all pixel points within the preset color difference based on this value, and then constructing the peak color area, detecting whether there is a color fault exceeding the threshold in the peak color area, if so, marking the current corrugated connecting pipe finished product as a defective product, if not, constructing a virtual central axis based on the shape of the peak color area, recorded as a virtual peak straight line; When the standard deviations corresponding to the multiple corrugated protrusions on the corrugated connecting pipe are all smaller than the first threshold, the average values ​​of the multiple standard deviations and the average values ​​of the sums of the multiple second variances are calculated to obtain the mean value of the standard deviations and the mean value of the sums of the second variances; The consistency evaluation value of the corrugated section of the corrugated connecting pipe is calculated by a weighted algorithm based on the mean of the standard deviation and the mean of the sum of the second variances; The consistency evaluation values ​​corresponding to multiple corrugated connecting pipes during the production cycle are retrieved, and when the consistency evaluation values ​​continue to decrease, an abnormal warning of the corrugated mechanism is sent to the production management platform, so that the technicians can recalibrate the telescopic parameters of the circular telescopic parts in the corrugated mechanism or replace the abnormal circular telescopic parts.

2. The production management method based on MES intelligent manufacturing according to claim 1 is characterized in that: Based on the quality inspection parameters of the corrugated connecting pipe, the operating parameters of key equipment are corrected or warned, including: Before being sent into the corrugating mechanism, the cut pipe blanks slide into the measuring groove in turn, and when the pipe blanks hit the pressure trigger at the bottom of the measuring groove, the current placement status of the pipe blanks in the measuring groove is obtained by photographing with a high-speed camera, and the length of the current pipe blank is automatically identified based on the scale arranged on one side of the measuring groove and the preset image algorithm, and when the length fluctuation of multiple pipe blanks within a first time period exceeds a second threshold, an abnormal warning of the cutting mechanism is sent to the production management platform, so that the technicians can recalibrate the operating parameters of the conveying component or the clamping component in the cutting mechanism.

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