Motor shaft body machining process intelligent connection control method and system

Abstract

The application discloses a motor shaft body machining process intelligent connection control method and system, relates to the technical field of intelligent production lines, and obtains appearance detection data of a motor shaft body through a visual detection system; target motor shaft bodies are transferred to an unqualified product channel or a dynamic balance detection process of a connection mechanism is started based on the appearance detection data; the target motor shaft bodies are subjected to dynamic balance checking through a dynamic balance measurement system, initial unbalance amount data is obtained; the initial unbalance amount data is compared with a preset balance tolerance, and correction control parameters are generated; the target motor shaft bodies are subjected to correction operations of simulated material increase and decrease based on the correction control parameters, the corrected target motor shaft bodies are subjected to dynamic balance simulation analysis, and residual unbalance amount data is obtained; through integration of preliminary detection and dynamic balance analysis of the motor shaft bodies in the connection process of the machining process of the motor shaft bodies, the overall production rhythm of the motor shaft bodies is accelerated, and the production and machining efficiency of the motor shaft bodies can be effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent production lines, and in particular to a motor shaft body machining process intelligent connection control method and system. BACKGROUND

[0002] In the current motor shaft body machining process, the motor shaft body needs to be subjected to rough grinding, slotting, fine grinding and polishing processes. After the rough grinding and slotting processes are completed, the overall quality and structure of the motor shaft body change, and the motor shaft body needs to be subjected to dynamic balance detection to ensure that the dynamic balance data of the motor shaft body meet the machining requirements, thereby improving the reliability of the fine grinding and finishing processes. In the existing machining process design, the dynamic balance process is separately arranged in the overall process flow, and the connection and transfer between the processes are manually performed by a robot or an operator, which causes the motor shaft workpiece to be in a non-operating state during the connection and transfer process. Therefore, the machining efficiency of the overall machining process needs to be improved. SUMMARY

[0003] The present application aims to overcome the shortcomings of the prior art, and provides a motor shaft body machining process intelligent connection control method and system. The preliminary detection and dynamic balance analysis of the motor shaft body are integrated in the connection process of the motor shaft body machining process, which accelerates the overall production rhythm of the motor shaft body and effectively improves the production and machining efficiency of the motor shaft body.

[0004] The present application provides a motor shaft body machining process intelligent connection control method, which comprises:

[0005] A visual detection system is used to acquire multi-angle image data of the target motor shaft body of the connection mechanism, and the multi-angle image data is processed to generate appearance detection data containing defect determination results and defect information;

[0006] A sorting instruction is generated based on the appearance detection data, and a handling robot is controlled to transfer the target motor shaft body to an unqualified product channel according to the sorting instruction, or a dynamic balance detection process of the connection mechanism is started based on the appearance detection data;

[0007] A dynamic balance measurement system is used to perform dynamic balance verification on the target motor shaft body, and the unbalance mass and phase angle data of one or more correction planes on the target motor shaft body are acquired and sorted as initial unbalance data;

[0008] The initial unbalance data is compared with a preset balance tolerance to generate a balance determination result, and if the balance determination result indicates that correction is needed, correction control parameters are generated based on the initial unbalance data;

[0009] Perform a simulation material increase / decrease correction operation on the target motor shaft body based on the correction control parameter, and perform dynamic balance simulation analysis on the corrected target motor shaft body to obtain residual unbalance amount data;

[0010] After associating and binding the appearance detection data, the initial unbalance amount data, the correction control parameter, and the residual unbalance amount data, upload them to a manufacturing execution system.

[0011] Further, the multi-angle image data of the target motor shaft body is obtained through the visual detection system, the multi-angle image data is processed, and appearance detection data containing defect judgment results and defect information are generated.

[0012] Filter and denoise the multi-angle image data and enhance the contrast to obtain preprocessed image data;

[0013] Divide several detection areas in the preprocessed image data according to the surface features of the motor shaft body;

[0014] Analyze the linear scratch features of the detection areas through directional gradient filtering, and / or analyze the pit features of the detection areas through the Blob algorithm, and organize them into defect feature data;

[0015] Integrate the defect feature data of several detection areas to generate the appearance detection data of the target motor shaft body.

[0016] Further, the sorting instruction is generated based on the appearance detection data, and the handling robot is controlled to transfer the target motor shaft body to the unqualified product channel according to the sorting instruction, or the dynamic balance detection process of the linkage mechanism is started based on the appearance detection data, which includes:

[0017] Obtain the appearance defect level of the target motor shaft body according to the appearance detection data;

[0018] If the appearance defect level is a major defect, generate a sorting instruction pointing to the unqualified product channel, and drive the handling robot to transfer the target motor shaft body to the unqualified product channel based on the sorting instruction;

[0019] If the appearance defect level is no defect or minor defect, start the dynamic balance detection process of the linkage mechanism, and perform dynamic balance measurement on the target motor shaft body through the dynamic balance detection system.

[0020] Further, the initial unbalance amount data is obtained by performing dynamic balance verification on the target motor shaft body through the dynamic balance measurement system, and obtaining the unbalance mass and phase angle data of one or more correction planes on the target motor shaft body.

[0021] The target motor shaft body is positioned and clamped by the centering clamping assembly of the adapter mechanism, and the rotation motor is started to drive the target motor shaft body to rotate;

[0022] The detection probe of the dynamic balance measurement system detects the rotation phase angle data of the target motor shaft body corresponding to each correction plane;

[0023] The vibration amount of the target motor shaft body is measured by a sensor, and the unbalance mass data on each preset correction plane is calculated;

[0024] The unbalance mass and phase angle data of more than one correction plane on the target motor shaft body are combined to generate initial unbalance amount data.

[0025] Further, the initial unbalance amount data is compared with the preset balance tolerance to generate a balance determination result, and if the balance determination result is required to be corrected, a correction control parameter is generated according to the initial unbalance amount data, including:

[0026] The initial unbalance amount data is compared with the preset balance tolerance to calculate the material mass to be removed;

[0027] According to the material mass to be removed and the preset material density, the material volume to be removed is calculated;

[0028] According to the material volume to be removed and the preset machining parameters of the correction tool, the correction control parameter including three-dimensional coordinate position and machining depth is generated.

[0029] Further, the correction operation of simulating material increase and decrease is performed on the target motor shaft body based on the correction control parameter, and dynamic balance simulation analysis is performed on the corrected target motor shaft body to obtain residual unbalance amount data, including:

[0030] An initial analysis model of the target motor shaft body is constructed according to the dynamic balance detection data of the target motor shaft body;

[0031] A material increase and decrease simulation operation is performed on the initial analysis model based on the correction control parameter to obtain a correction model after the simulation operation;

[0032] Dynamic balance simulation analysis is performed on the correction model under the condition of setting the same measurement parameters to obtain residual unbalance amount data.

[0033] Further, the correction operation of simulating material increase and decrease is performed on the target motor shaft body based on the correction control parameter, and dynamic balance simulation analysis is performed on the corrected target motor shaft body to obtain residual unbalance amount data, including:

[0034] comparing the residual unbalance data with the preset balance tolerance again;

[0035] if the residual unbalance data is within the preset balance tolerance range, marking the correction control parameter as a "qualified" state;

[0036] if the residual unbalance data exceeds the preset balance tolerance range, detecting whether the correction control parameter reaches a preset threshold, if the correction control parameter does not reach the preset threshold, adjusting the correction control parameter according to the preset threshold;

[0037] if the correction control parameter reaches the preset threshold, marking the correction control parameter as a "failure" state, and marking the target motor shaft body as unqualified product.

[0038] Further, after the appearance detection data, the initial unbalance data, the correction control parameter and the residual unbalance data are associated and bound, they are uploaded to a manufacturing execution system, comprising:

[0039] By scanning or reading the unique identification code carried by the target motor shaft body, the appearance detection data, the initial unbalance data, the correction control parameter and the residual unbalance data are bound with the identification code, and the related data after the association and binding are uploaded to the manufacturing execution system.

[0040] Further, the intelligent connection control method further comprises:

[0041] statistically obtaining the initial unbalance data of a plurality of target motor shaft bodies on the connection mechanism, and generating a motor shaft body machining evaluation chart of the machining process;

[0042] According to the motor shaft body machining evaluation chart, the machining stability of the machining process is judged, if the machining stability of the machining process is abnormal, the process adjustment instruction is generated according to the evaluation data of the motor shaft body machining evaluation chart.

[0043] The application also provides a motor shaft body machining process intelligent connection control system, the control system comprises:

[0044] a detection module for acquiring multi-angle image data of a target motor shaft body of a connection mechanism through a visual detection system, processing the multi-angle image data, and generating appearance detection data containing defect judgment results and defect information;

[0045] a judgment module for generating a sorting instruction based on the appearance detection data, controlling a handling robot to transfer the target motor shaft body to an unqualified product channel according to the sorting instruction, or starting a dynamic balance detection process of the connection mechanism based on the appearance detection data.

[0046] A dynamic balance analysis module is configured to perform dynamic balance checking on the target motor shaft body by a dynamic balance measurement system, to obtain unbalance mass and phase angle data of one or more correction planes on the target motor shaft body, and to arrange the data into initial unbalance data;

[0047] A correction calculation module is configured to compare the initial unbalance data with a preset balance tolerance, to generate a balance determination result, and to generate correction control parameters according to the initial unbalance data if the balance determination result indicates that correction is needed.

[0048] An analog correction module is configured to perform analog material increase / decrease correction on the target motor shaft body based on the correction control parameters, and to perform dynamic balance simulation analysis on the corrected target motor shaft body to obtain residual unbalance data.

[0049] A data management module is configured to upload the appearance detection data, the initial unbalance data, the correction control parameters, and the residual unbalance data to a manufacturing execution system after associating and binding them.

[0050] The present application provides a motor shaft body machining process intelligent connection control method and system, which can perform preliminary visual detection on the motor shaft body after completing the previous machining process, and preliminarily screen out defective products. By performing dynamic balance detection and analog correction on the target motor shaft body during the connection transfer process, the target motor shaft body can be adjusted and corrected in the next machining process, thereby improving the production and machining yield of the motor shaft body. The connection transfer and detection analysis operations are combined, thereby improving the production and machining efficiency of the motor shaft body. BRIEF DESCRIPTION OF DRAWINGS

[0051] Figure 1 FIG. 1 is a flowchart of a motor shaft body machining process intelligent connection control method according to an embodiment of the present application;

[0052] Figure 2 FIG. 2 is a schematic structural diagram of a motor shaft body machining process connection mechanism according to an embodiment of the present application;

[0053] Figure 3 FIG. 3 is a schematic diagram of a motor shaft body machining process intelligent connection control system according to an embodiment of the present application. DETAILED DESCRIPTION

[0054] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0055] Embodiment one:

[0056] Figure 1 A flow chart of a motor shaft body machining process intelligent connection control method of an embodiment of the present application is shown, Figure 2 A structure schematic diagram of a motor shaft body machining process connection mechanism in an embodiment of the present application is shown. The connection mechanism comprises a conveying guide rail 1, a sliding table 2, a visual detection system 3 and a dynamic balance measurement system 4. The sliding table 2 is slidingly fitted on the conveying guide rail 1. The sliding table 2 is provided with a detection station for placing a target motor shaft body 5. The visual detection system 3 is arranged at a feeding position of the conveying guide rail 1 of the connection mechanism, so as to take a visual image of the target motor shaft body 5 after feeding.

[0057] Further, the dynamic balance measurement system 4 is arranged on the sliding table 2, so that the dynamic balance measurement system 4 can synchronously measure the dynamic balance of the target motor shaft body 5 when the sliding table 2 moves.

[0058] The control method comprises:

[0059] S11: acquiring multi-angle image data of the target motor shaft body 5 of the connection mechanism by the visual detection system 3, processing the multi-angle image data, and generating appearance detection data containing defect judgment results and defect information;

[0060] Specifically, the connection mechanism is arranged between a slotting process and a finish turning process, and is used to realize the connection and transfer of the motor shaft body processed by the slotting process to the finish turning process for static turning processing. The visual detection system 3 is an automatic device for non-contact detection of the surface of the motor shaft body by using optical imaging equipment and image processing technology. Its main function is to capture the image of the workpiece, and analyze the features in the image through an algorithm to identify and locate potential surface defects.

[0061] Further, the dynamic balance measurement system 4 is a special equipment for detecting the unbalance of the rotating part, which is arranged on the connecting mechanism, and can synchronously perform the dynamic balance measurement operation on the target motor shaft body 5 during the transferring process of the target motor shaft body 5 by the connecting mechanism. The vibration generated by the target motor shaft body 5 during high-speed rotation is measured, and the size of the unbalanced mass and the phase angle thereof on the correction plane are calculated, so as to provide accurate data for subsequent balance correction.

[0062] Specifically, the multi-angle image data of the target motor shaft body 5 is acquired by the visual detection system 3, the multi-angle image data is processed, and the appearance detection data containing the defect judgment result and the defect information is generated.

[0063] The multi-angle image data is filtered and denoised and contrast enhanced to obtain preprocessed image data. The target motor shaft body 5 is placed on the limiting position of the connecting mechanism, and the image of the target motor shaft body 5 at different angles of the connecting mechanism is acquired by the shooting assembly arranged on the feeding area of the connecting mechanism, so as to construct the multi-angle image data.

[0064] Further, the multi-angle image data is filtered and denoised and contrast enhanced, the filtering and denoising aims to eliminate the random noise existing in the image, and avoids interfering with the subsequent feature extraction and defect recognition. Specifically, the image is smoothed by using a Gaussian filter to reduce high-frequency noise; the contrast enhancement is used to expand the difference between different pixel values in the image, so that the image details are more clear and visible, which is crucial for identifying small or low-contrast defects, so as to realize the accurate recognition of the appearance defect features in the multi-angle image data.

[0065] Specifically, a plurality of detection regions are divided in the preprocessed image data according to the surface features of the motor shaft body, the detection region refers to a region corresponding to a specific surface feature position of the motor shaft body, such as the outer cylindrical surface, the end surface, the chamfer and the like, which is predefined or dynamically recognized in the image. By dividing the detection regions, the complex overall detection task is decomposed into sub-region detection tasks corresponding to the surface features of the target motor shaft body 5, so as to improve the efficiency and accuracy of defect recognition.

[0066] Further, the linear scratch features of the detection area are analyzed by directional gradient filtering, and the detection method is adjusted according to different surface feature characteristics, so that the detection method can adapt to the surface features of the target motor shaft body 5. Directional gradient filtering is a filtering method based on the rate of change of image pixel gray value, and is particularly suitable for detecting edges and linear structures in images. In the outer circular surface area, linear scratches usually appear as sharp changes in gray value in a certain direction in the image, and directional gradient filtering can effectively capture these changes to identify scratches and effectively identify the machining defect conditions of the outer circular surface of the target motor shaft body 5.

[0067] Further, in the present embodiment, the Blob algorithm can be used to analyze the pit features of the detection area to arrange defect feature data, and Blob analysis is a technique for detecting connected regions (i.e. "blobs" or "blobs") in images, which is often used to identify discrete objects that differ significantly from the background. In the end surface area, pits usually appear as connected regions with certain shapes and sizes that differ from the surrounding surface gray value, and Blob analysis can effectively identify and quantify the features of these regions. Its implementation can include but is not limited to: binarizing the image to separate the pit area from the background, and then using a connected component labeling algorithm to identify each Blob; and accurately detecting pits by setting color, area, circularity and other parameters.

[0068] The defect feature data of several detection areas is integrated to generate the appearance detection data of the target motor shaft body 5. The defect identification data obtained from each detection area of the target motor shaft body 5 is summarized to form a comprehensive judgment of the overall appearance quality of the shaft body. Defect information description corresponding to the surface defect conditions of the target motor shaft body 5 is generated according to image analysis and identification, including defect position coordinates, defect degree, etc., so as to systematically manage the appearance detection data of the target motor shaft body 5.

[0069] The received multi-angle image data is processed in detail and in different regions to overcome the shortcomings of traditional methods in defect identification accuracy and comprehensiveness. First, the received image is preprocessed by filtering and noise reduction to eliminate interference information in the image, and contrast enhancement technology is used to highlight potential defect details, laying a high-quality image foundation for subsequent accurate analysis. On this basis, the system intelligently divides multiple detection areas corresponding to different surface features of the motor shaft body, such as the outer circular surface area and the end surface area. This region division mechanism makes the subsequent defect identification more targeted, avoiding the recognition blind area or misjudgment of general algorithms on complex surfaces.

[0070] S12: generate a sorting instruction based on the appearance detection data, and control the transfer robot to transfer the target motor shaft body 5 to the unqualified product channel according to the sorting instruction, or start the dynamic balance detection process of the linkage mechanism based on the appearance detection data.

[0071] Specifically, the appearance detection data is analyzed to accurately sort the target motor shaft body 5 according to the appearance defect of the target motor shaft body 5, and the target motor shaft body 5 with appearance defects is sorted in advance to reduce the processing of defective products on the production line and improve the processing quality of the production line.

[0072] Specifically, the sorting instruction is generated based on the appearance detection data, and the transfer robot is controlled to transfer the target motor shaft body 5 to the unqualified product channel according to the sorting instruction, or the dynamic balance detection process of the linkage mechanism is started based on the appearance detection data, which includes:

[0073] According to the appearance detection data, the appearance defect level of the target motor shaft body 5 is obtained.

[0074] If the appearance defect level is a major defect, a sorting instruction pointing to the unqualified product channel is generated, and the transfer robot is driven to transfer the target motor shaft body 5 to the unqualified product channel based on the sorting instruction. This step is a preliminary quality judgment and sorting decision based on the analyzed defect level. When a defect that seriously affects the function or safety of the shaft body is detected, the shaft body should be immediately marked as unqualified, and the logistics system should be instructed to send it to the unqualified product channel to avoid wasting resources or potential risks in subsequent processes.

[0075] Further, the control system can preset and update the mapping relationship table of defect levels and sorting target channels in real time, and correspond the appearance defect of the target motor shaft body 5 to the sorting channel of the target motor shaft body 5. When the "major defect" level is received, the control system queries the mapping relationship table to obtain the corresponding "unqualified product channel" identifier, and generates a sorting instruction containing the identifier to drive the sorting robot to sort and discharge the target motor shaft body 5.

[0076] Further, if the appearance defect level is no defect or minor defect, the dynamic balance detection process of the linkage mechanism is started, and the dynamic balance detection system measures the dynamic balance of the target motor shaft body 5. When the defect level is no defect or minor defect, it means that the target motor shaft body 5 has no appearance defect, or the appearance defect of the target motor shaft body 5 can be corrected through subsequent processing. Therefore, a start instruction of the dynamic balance measurement system 4 of the linkage mechanism is generated, and the dynamic balance of the target motor shaft body 5 is measured during the transfer process of the linkage mechanism, so as to satisfy the cooperative operation of the detection and transfer of the target motor shaft body 5 and improve the processing efficiency.

[0077] Specifically, in the present embodiment, the control system first analyzes the defect information contained in the appearance detection data, and identifies the defect level of the motor shaft body. This analysis process is a key pre-step for sorting decision, which converts the original defect description into quantitative indicators that can be directly judged by the decision system. When the defect level of the target motor shaft body 5 is clear, the control system will judge the defect level of the target motor shaft body 5 according to the preset relationship mapping table. If the judgment result shows that the motor shaft body has a major defect, that is, its quality cannot meet the requirements of subsequent processing or use, the system will immediately generate a sorting instruction pointing to the unqualified product channel, so that the driving flow system removes the shaft body from the production line according to the sorting instruction, avoids it entering the subsequent process, thereby effectively prevents the unqualified product from continuing to circulate, and reduces the invalid investment and resource waste of subsequent processes.

[0078] When the defect level is determined to be acceptable or a slight defect, indicating that the basic function of the target motor shaft body 5 is not affected, it can be processed through subsequent dynamic balance correction and other processes, and the system will generate a start instruction pointing to the dynamic balance measurement system 4. Through the start instruction, the engagement mechanism can drive the dynamic balance measurement operation of the target motor shaft body 5 when transferring the target motor shaft body 5 to the next processing process.

[0079] S13: Perform dynamic balance verification on the target motor shaft body 5 by the dynamic balance measurement system 4, obtain the unbalance mass and phase angle data of one or more correction planes on the target motor shaft body 5, and arrange them into initial unbalance data.

[0080] Specifically, the unbalance mass and phase angle refer to the quantitative data obtained by the dynamic balance measurement system 4 about the unbalance state of the motor shaft body after measurement. The unbalance mass indicates the size of the mass that needs to be removed or added at a specific position to make the motor shaft body balanced, and the phase angle indicates the specific position of the unbalance mass in the circumferential direction of the motor shaft body. These data are the key basis for determining the correction operation amount and direction.

[0081] Specifically, the dynamic balance verification of the target motor shaft body 5 by the dynamic balance measurement system 4 obtains the unbalance mass and phase angle data of one or more correction planes on the target motor shaft body 5, and arranges them into initial unbalance data, including:

[0082] The target motor shaft body 5 is positioned and clamped by the centering clamping assembly of the connecting mechanism, the rotating motor and the centering clamping assembly are arranged on the placing station of the connecting mechanism, so that the target motor shaft body 5 can be positioned and clamped, and the rotating motor can drive the target motor shaft body 5 to rotate.

[0083] The detection probe of the dynamic balance measurement system 4 detects the rotation phase angle data of the target motor shaft body 5 corresponding to each correction plane. In the process of rotating the target motor shaft body 5, each point of the target motor shaft body 5 is detected by a non-contact sensor probe. The non-contact sensor probe can be an infrared probe. When the rotating motor drives the target motor shaft body 5 to rotate at a certain speed, the rotation phase angle of the target motor shaft body 5 can be obtained by cooperating with the non-contact detection of the infrared probe.

[0084] Further, according to the distance data obtained by the infrared probe, combined with the detection time, the time period corresponding to the position where the distance changes can be output, and the position point where the distance changes can be marked. Combined with the initial detection position of the infrared probe, the angle of the distance change position point relative to the initial position can be obtained, thereby converting the rotation phase angle of the target motor shaft body 5.

[0085] The vibration amount of the target motor shaft body 5 is measured by a sensor, and the unbalance mass data on each preset correction plane is calculated. A force sensor is arranged on the output shaft of the rotating motor, and the force sensor is used to detect the centrifugal force change of the target motor shaft body 5 in the rotating process, so as to obtain the vibration amount of the target motor shaft body 5. Combined with the unbalance mass and phase angle data of more than one correction plane on the target motor shaft body 5, the initial unbalance amount data is arranged.

[0086] S14: Compare the initial unbalance amount data with the preset balance tolerance to generate a balance determination result. If the balance determination result needs to be corrected, generate a correction control parameter according to the initial unbalance amount data.

[0087] The material mass to be removed calculated by the dynamic balance principle is based on the dynamic balance measurement result, the unbalance amount is decomposed to the correction plane based on the vector balance equation, and the influence of the weight removal radius is considered, so as to accurately quantify the required mass for correction. The preset material density is the inherent physical property of the material of the motor shaft body, which represents the mass of the material per unit volume. The density value can usually be obtained by consulting the material standard manual, or by physically measuring the actual material. Its function is to accurately convert the calculated material mass to be removed into the corresponding volume, and to provide a basis for subsequent determination of the machining depth.

[0088] Specifically, the initial unbalance amount data is compared with a preset balance tolerance to calculate a material mass to be removed; a material volume to be removed is calculated according to the material mass to be removed and a preset material density; and the correction control parameter including a three-dimensional coordinate position and a machining depth is generated according to the material volume to be removed and a preset machining parameter of a correction tool. When the dynamic balance measurement system 4 detects that the target motor shaft body 5 has an unbalance amount in a certain correction plane, for example, an unbalance mass M and a phase angle θ. The control system can preset a weight removal radius R, which is usually selected in an area on the motor shaft body that is easy to machine and does not affect the structural strength. Based on M, θ and R, the system can calculate the material mass m to be removed at the radius R by using a mathematical model of dynamic balance correction. The target motor shaft body 5 is made of steel, and the preset material density ρ thereof can be set to 7.85 g / cm³. The material volume V to be removed can be calculated by the formula V = m / ρ.

[0089] Further, the machine tool parameter involved in the material removal machining includes a tool diameter D, a maximum cutting depth and a cutting efficiency coefficient K. Combined with the material volume V to be removed of the target motor shaft body 5, the three-dimensional coordinate position and the specific machining depth h of the area to be milled on the surface of the motor shaft body are calculated, so as to realize the precise operation of the material removal correction machining of the target motor shaft body 5.

[0090] S15: Perform a correction operation of simulating material increase and decrease on the target motor shaft body 5 based on the correction control parameter, and perform dynamic balance simulation analysis on the corrected target motor shaft body 5 to obtain residual unbalance amount data.

[0091] Specifically, the step S15 includes:

[0092] An initial analysis model of the target motor shaft body 5 is constructed according to the dynamic balance detection data of the target motor shaft body 5; a material increase and decrease simulation operation on the initial analysis model is generated based on the correction control parameter to obtain a correction model after the simulation operation; and the correction control parameter is sent to the correction execution mechanism, which is simulated as a numerical control milling machine or a laser processing equipment, and can perform material increase and decrease operation on the initial analysis model after receiving the correction instruction.

[0093] Further, according to the actual machining setting requirement, the correction execution mechanism can be a preset device model corresponding to the actual execution mechanism, and the material increase and decrease simulation operation can be performed on the initial analysis model according to the correction control parameter.

[0094] Specifically, dynamic balance simulation analysis is performed on the correction model under the condition of setting the same measurement parameter to obtain residual unbalance amount data.

[0095] The residual unbalance amount data refers to the quantitative information reflecting the residual unbalance state of the shaft body after the material addition and reduction operation is performed on the target motor shaft body 5, and the residual unbalance amount data of the corrected model is evaluated after the system simulates the material addition and reduction operation, so as to achieve accurate identification and judgment of the target motor shaft body 5.

[0096] Specifically, the correction operation of simulating material addition and reduction on the target motor shaft body 5 based on the corrected control parameter, and the dynamic balance simulation analysis of the corrected target motor shaft body 5 to obtain the residual unbalance amount data further comprises:

[0097] The residual unbalance amount data is compared with the preset balance tolerance again; the residual unbalance amount data includes the unbalance mass and phase angle of at least one correction plane, which is used to accurately describe the unbalance degree of the shaft body during rotation, and the preset balance tolerance is the maximum limit of the unbalance amount allowed to exist in the motor shaft body, which is determined according to the design requirements, use conditions and industry standards of the motor shaft body.

[0098] The residual unbalance amount data obtained by retesting based on model analysis is logically judged with the preset balance tolerance to determine whether the shaft body has reached a qualified balance state. The unbalance mass in the residual unbalance amount data is compared with the upper limit of the tolerance, or the phase angle is interval judged with the tolerance range, so as to judge the feasibility of the correction processing of the target motor shaft body 5.

[0099] If the residual unbalance amount data is within the preset balance tolerance range, the corrected control parameter is marked as "qualified" state, so that the corrected control parameter can be arranged in the subsequent processing control instruction of the target motor shaft body 5, so as to accurately process and adjust the target motor shaft body 5.

[0100] Further, the corrected control parameter of the target motor shaft body 5 is updated to "qualified" state, and it is confirmed that the target motor shaft body 5 can meet the dynamic balance requirement after correction processing. According to the corrected control parameter, the target motor shaft body 5 is corrected in the subsequent processing process, so as to improve the convenience of processing control and management of the target motor shaft body 5, and improve the processing and production efficiency of the motor shaft body.

[0101] If the residual unbalance amount data exceeds the preset balance tolerance range, it is detected whether the corrected control parameter reaches the preset threshold value, and if the corrected control parameter does not reach the preset threshold value, the corrected control parameter is adjusted according to the preset threshold value.

[0102] Further, the preset threshold is a maximum allowed correction range set to prevent excessive correction operation on the mass increase or decrease of a single shaft body. The threshold is generally determined according to experience, material loss, processing cost, product quality requirements and other factors, so that it can be determined whether the correction operation can be realized.

[0103] If the correction control parameter reaches the preset threshold, the correction control parameter is marked as a "failure" state, and the target motor shaft body 5 is marked as a substandard product. That is, the motor shaft body product corrected according to the correction control parameter cannot meet the specification requirements of the production batch. Through system model simulation and parameter analysis evaluation, the processing defect condition of the target motor shaft body 5 can be identified in the front-end process of the correction or subsequent processing, so that the target motor shaft body 5 is identified as a "substandard" product in advance, so as to improve the sorting and processing efficiency of the target motor shaft body 5.

[0104] S16: After the appearance detection data, the initial unbalance amount data, the correction control parameter and the residual unbalance amount data are associated and bound, they are uploaded to the manufacturing execution system.

[0105] Specifically, the uploading of the appearance detection data, the initial unbalance amount data, the correction control parameter and the residual unbalance amount data to the manufacturing execution system after being associated and bound includes:

[0106] When the dynamic balance measurement operation of the target motor shaft body 5 is completed, the control system binds the appearance detection data, the initial unbalance amount data, the correction control parameter and the residual unbalance amount data with the unique identification code carried by the target motor shaft body 5 through scanning or reading, realizes the standardization processing of the measurement data of the target motor shaft body 5, and uploads the related data after the association and binding to the manufacturing execution system.

[0107] Specifically, the intelligent connection control method further includes:

[0108] The initial unbalance amount data of a plurality of target motor shaft bodies 5 on the connection mechanism is counted to generate a motor shaft body processing evaluation chart of the processing procedure; the initial unbalance amount data of a plurality of motor shaft bodies in continuous production is counted in real time, aiming to continuously collect and summarize the initial unbalance amount data from the dynamic balance measurement station to reflect the overall state and potential fluctuation of the production process.

[0109] Further, by setting a data collection cycle or a quantity threshold, the data statistics and aggregation are triggered automatically once in a certain number of shaft bodies or at fixed time intervals. On this basis, a statistical process control chart is generated, the purpose of which is to present the initial imbalance data in a graphical manner, thereby intuitively displaying the center tendency, dispersion degree and whether there is an abnormal point or trend in the production process.

[0110] According to the motor shaft body processing evaluation chart, the processing stability of the processing procedure is determined, and if the processing stability of the processing procedure is abnormal, a procedure adjustment instruction is generated according to the evaluation data of the motor shaft body processing evaluation chart.

[0111] By analyzing the distribution of data points on the processing evaluation chart, the processing state of the target motor shaft body 5 in the previous processing procedure is obtained, and according to the cases that the data points exceed the control limit, a plurality of consecutive points fall on the same side of the center line, a plurality of consecutive points show an upward or downward trend, etc., the processing error law of the previous procedure is automatically identified, and whether the processing error of the previous procedure is a stable inherent error is sorted out, if so, a procedure adjustment instruction is generated to adjust the procedure operation of the previous procedure.

[0112] The scheme of the present application in the intelligent control method of the motor shaft body production line effectively solves the problem of insufficient stability monitoring of the previous procedure by introducing a real-time monitoring mechanism for the continuous production process. By integrating the appearance detection and dynamic balance analysis of the target motor shaft body 5 in the linking mechanism, the subsequent processing can be adjusted, and the previous procedure can be evaluated and adjusted, thereby improving the processing efficiency and quality of the whole line.

[0113] Specifically, by real-time statistics of the initial imbalance data of a plurality of motor shaft bodies in continuous production and generation of a processing evaluation chart, the control system can intuitively and dynamically master the quality fluctuation of the production process. On this basis, based on the analysis of the processing evaluation chart, it can be judged whether there is an abnormal trend or out-of-control state in the previous processing procedure, and the process parameter adjustment warning is sent to the previous procedure. This makes the production line change from passive post-correction to active prevention, significantly improving the stability and controllability of the production process. The intelligent linking scheme proposed in the embodiment of the present application integrates the procedure operation of dynamic balance detection in the process of workpiece transfer, and adaptively adjusts the processing parameters of the subsequent processing procedure according to the current processing quality data of the target motor shaft body 5. By collecting and statistics the accurate measurement data of a plurality of target motor shaft bodies 5, the macroscopic monitoring of the whole production process is constructed, so that the potential production problems of the previous procedure can be found and corrected in time, the production of unqualified products is effectively reduced, the consistency of product quality is ensured, and the overall production efficiency is ultimately improved.

[0114] Embodiment two:

[0115] Figure 3 A schematic diagram of a motor shaft body processing procedure intelligent connection control system in an embodiment of the application is shown. The control system comprises:

[0116] The detection module 10 is configured to acquire multi-angle image data of the target motor shaft body of the connection mechanism through a visual detection system, process the multi-angle image data, and generate appearance detection data containing defect judgment results and defect information.

[0117] The multi-angle image data is filtered and denoised and contrast enhanced to obtain preprocessed image data. The target motor shaft body is placed on the limiting position of the connection mechanism, and an image of the target motor shaft body at different angles of the connection mechanism is acquired by a shooting assembly arranged in the feeding area of the connection mechanism, so as to construct the multi-angle image data.

[0118] Further, the multi-angle image data is filtered and denoised and contrast enhanced. The filtering and denoising aims to eliminate random noise in the image and avoid interference with subsequent feature extraction and defect recognition. Specifically, a Gaussian filter is used to smooth the image to reduce high-frequency noise; contrast enhancement is used to enlarge the difference between different pixel values in the image, making the image details clearer and more visible, which is crucial for identifying small or low-contrast defects, so as to accurately identify the appearance defect features in the multi-angle image data.

[0119] Specifically, a plurality of detection regions are divided in the preprocessed image data according to the surface features of the motor shaft body. The detection region refers to a region corresponding to a specific surface feature position of the motor shaft body, such as the outer cylindrical surface, the end surface, the chamfer, etc., which is predefined or dynamically identified in the image. By dividing the detection regions, the complex overall detection task is decomposed into sub-region detection tasks corresponding to the surface features of the target motor shaft body, thereby improving the efficiency and accuracy of defect recognition.

[0120] The judgment module 20 is configured to generate a sorting instruction based on the appearance detection data, control the transfer robot to transfer the target motor shaft body to the unqualified product channel according to the sorting instruction, or start the dynamic balance detection procedure of the connection mechanism based on the appearance detection data.

[0121] Specifically, the generation of the sorting instruction based on the appearance detection data, the control of the transfer robot to transfer the target motor shaft body to the unqualified product channel according to the sorting instruction, or the start of the dynamic balance detection procedure of the connection mechanism based on the appearance detection data comprises:

[0122] obtaining the appearance defect level of the target motor shaft body according to the appearance detection data;

[0123] If the appearance defect level is a major defect, a sorting instruction pointing to a defective product channel is generated, and based on the sorting instruction, a handling robot is driven to transfer the target motor shaft body to the defective product channel; this step is based on the analyzed defect level to make a preliminary quality judgment and sorting decision. When a defect that seriously affects the function or safety of the shaft body is detected, it should be immediately marked as a defective product, and the logistics system is instructed to send it to the defective product channel to avoid wasting resources or potential risks in subsequent processes.

[0124] Further, the control system can preset and update the mapping relationship table of defect levels and sorting target channels in real time, and correspond the appearance defect condition of the target motor shaft body to the sorting channel of the target motor shaft body. When the "major defect" level is received, the control system queries the mapping relationship table to obtain the corresponding "defective product channel" identifier, and generates a sorting instruction containing this identifier, so as to drive the sorting robot to sort and discharge the target motor shaft body.

[0125] Dynamic balance analysis module 30: used for dynamic balance verification of the target motor shaft body by a dynamic balance measurement system, to obtain unbalanced mass and phase angle data of one or more correction planes on the target motor shaft body, and to arrange the initial unbalance data.

[0126] The centering clamping assembly of the adapter mechanism is used for centering positioning and clamping of the target motor shaft body, and a rotary motor is used to drive the target motor shaft body to rotate. The rotary motor and the centering positioning clamping mechanism are arranged on the placement station of the adapter mechanism, so that the target motor shaft body can be centering positioned and clamped, and the rotary motor can drive the target motor shaft body to rotate.

[0127] The detection probe of the dynamic balance measurement system detects the rotation phase angle data of each correction plane of the target motor shaft body. In the process of rotating the target motor shaft body, a non-contact sensor probe is used to detect each point of the target motor shaft body. The non-contact sensor probe can be an infrared probe. When the rotary motor drives the target motor shaft body to rotate at a certain speed, the non-contact detection of the infrared probe can obtain the rotation phase angle of the target motor shaft body.

[0128] Further, according to the distance data obtained by the infrared probe, combined with the detection time, the time period corresponding to the position where the distance changes can be output, and the position where the distance changes can be marked. Combined with the initial detection position of the infrared probe, the angle of the distance change position point relative to the initial position can be obtained, thereby converting the rotation phase angle of the target motor shaft body.

[0129] The vibration amount of the target motor shaft body is measured by a sensor, and the unbalance mass data on each preset correction plane is calculated. A force sensor is arranged on the output shaft of the rotating motor, and the force sensor is used to detect the centrifugal force change of the target motor shaft body during rotation, so as to obtain the vibration amount of the target motor shaft body. The unbalance mass and phase angle data of more than one correction plane on the target motor shaft body are combined to sort the initial unbalance amount data.

[0130] The initial unbalance amount data is compared with a preset balance tolerance to generate a balance determination result. If the balance determination result indicates that correction is needed, the initial unbalance amount data is used to generate a correction control parameter.

[0131] The initial unbalance amount data is compared with a preset balance tolerance to calculate the material mass to be removed. According to the material mass to be removed and a preset material density, the material volume to be removed is calculated. According to the material volume to be removed and a preset machining parameter of the correction tool, the correction control parameter including three-dimensional coordinate position and machining depth is generated. The material mass to be removed calculated by the dynamic balance principle is based on the dynamic balance measurement result, decomposes the unbalance amount to the correction plane based on the vector balance equation, and considers the influence of the weight radius, so as to accurately quantify the required mass for correction. The preset material density is the inherent physical property of the material of the motor shaft body, which represents the mass of the material per unit volume. This density value can usually be obtained by consulting the material standard manual, or by physically measuring the actual material. Its function is to accurately convert the calculated material mass to be removed into the corresponding volume, and to provide a basis for subsequent determination of the machining depth.

[0132] The simulation correction module 50 is used to perform a simulation material increase / decrease correction operation on the target motor shaft body based on the correction control parameter, and perform a dynamic balance simulation analysis on the corrected target motor shaft body to obtain residual unbalance amount data.

[0133] An initial analysis model of the target motor shaft body is constructed according to the dynamic balance detection data of the target motor shaft body. A material increase / decrease simulation operation on the initial analysis model is generated based on the correction control parameter to obtain a correction model after the simulation operation. The correction control parameter is sent to the correction execution mechanism, and the correction execution mechanism is simulated as a numerical control milling machine or a laser processing device, which can perform a material increase / decrease operation on the initial analysis model after receiving the correction instruction.

[0134] Further, according to the actual processing setting requirement, the correction execution mechanism can be a preset device model corresponding to the actual execution mechanism, and the initial analysis model can be subjected to a material increase / decrease simulation operation according to the correction control parameter.

[0135] Specifically, the residual unbalance amount data is obtained by performing dynamic balance simulation analysis on the correction model under the condition of setting the same measurement parameters.

[0136] The residual unbalance amount data refers to quantitative information reflecting the residual unbalance state of the shaft body after the material increasing and decreasing operation is performed on the target motor shaft body, and the residual unbalance amount data of the corrected model is evaluated after the material increasing and decreasing operation is simulated by the system, so as to achieve accurate identification and judgment of the target motor shaft body.

[0137] The data management module 60 is used to upload the appearance detection data, the initial unbalance amount data, the correction control parameter and the residual unbalance amount data after association and binding.

[0138] When the dynamic balance measurement operation of the target motor shaft body is completed, the control system binds the appearance detection data, the initial unbalance amount data, the correction control parameter and the residual unbalance amount data with the unique identification code carried by the target motor shaft body by scanning or reading, realizes the standardized processing of the measurement data of the target motor shaft body, and uploads the related data after association and binding to the manufacturing execution system.

[0139] The embodiment of the present application provides an intelligent connection control system for motor shaft body machining process, which can perform preliminary visual detection on the motor shaft body after the previous machining process and perform preliminary screening on the defective products by setting an intelligent connection mechanism between the machining processes of the motor shaft body. Dynamic balance detection and simulation correction are performed on the target motor shaft body during the connection and transfer process, so as to correct and adjust the target motor shaft body in the next machining process, improve the production and machining yield of the motor shaft body, combine the connection and transfer with detection and analysis operation, and improve the production and machining efficiency of the motor shaft body.

[0140] Those skilled in the art can understand that all or part of the steps in the above-mentioned embodiments can be completed by programs instructing related hardware, and the programs can be stored in a computer readable storage medium, which can include read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, etc.

[0141] In addition, the above describes in detail the motor shaft body machining process intelligent connection control method and system provided by the embodiment of the application, the principle and implementation mode of the application are described by using specific examples in this paper, and the above embodiment description is only used to help understand the method and core idea of the application; at the same time, for those skilled in the art, according to the idea of the application, the specific implementation mode and application range will be changed, and the above description should not be understood as a limitation of the application.

Claims

1. A motor shaft body machining process intelligent connection control method, characterized in that, In the process of connecting the motor shaft body processing procedure, the visual inspection and dynamic balance analysis of the motor shaft body are integrated, and the control method comprises: Obtain multi-angle image data of the target motor shaft body of the connecting mechanism through the visual inspection system, process the multi-angle image data, and generate appearance inspection data containing defect judgment results and defect information; Generate sorting instructions based on the appearance inspection data, and control the handling manipulator to transfer the target motor shaft body to the unqualified product channel according to the sorting instructions, or start the dynamic balance detection process of the connecting mechanism based on the appearance inspection data; Perform dynamic balance verification on the target motor shaft body through the dynamic balance measurement system, obtain the unbalance mass and phase angle data of one or more correction planes on the target motor shaft body, and arrange the initial unbalance data, including: The centering clamping assembly of the connecting mechanism is used to center and clamp the target motor shaft body, and a rotating motor is used to drive the target motor shaft body to rotate; The detection probe of the dynamic balance measurement system detects the rotation phase angle data of each correction plane of the target motor shaft body; The vibration amount of the target motor shaft body is measured through a sensor, and the unbalance mass data on each preset correction plane is calculated; Combine the unbalance mass and phase angle data of one or more correction planes on the target motor shaft body to arrange the initial unbalance data; Compare the initial unbalance data with the preset balance tolerance to generate a balance judgment result, and if the balance judgment result is that correction is needed, generate correction control parameters according to the initial unbalance data; Based on the correction control parameters, perform a correction operation of simulating material increase and decrease on the target motor shaft body, and perform dynamic balance simulation analysis on the corrected target motor shaft body to obtain residual unbalance data, including: Construct an initial analysis model of the target motor shaft body according to the dynamic balance detection data of the target motor shaft body; Generate a material increase and decrease simulation operation on the initial analysis model based on the correction control parameters to obtain a corrected model after the simulation operation; Set the same measurement parameter conditions to perform dynamic balance simulation analysis on the corrected model to obtain residual unbalance data; After associating and binding the appearance inspection data, the initial unbalance data, the correction control parameters and the residual unbalance data, upload them to the manufacturing execution system.

2. The intelligent interfacing control method for motor shaft body machining process according to claim 1, characterized in that, The method of obtaining multi-angle image data of the target motor shaft body through the visual inspection system, processing the multi-angle image data, and generating appearance inspection data containing defect judgment results and defect information comprises: Filter and denoise the multi-angle image data and enhance the contrast to obtain preprocessed image data; Divide several detection areas according to the surface features of the motor shaft body in the preprocessed image data; Analyze the linear scratch features of the detection areas through directional gradient filtering, and / or analyze the pit features of the detection areas through the Blob algorithm to arrange defect feature data; Integrate the defect feature data of several detection areas to generate the appearance inspection data of the target motor shaft body.

3. The intelligent interfacing control method for motor shaft body machining process according to claim 1, characterized in that, The generating of the sorting instruction based on the appearance detection data, the control of the carrying manipulator to transfer the target motor shaft to the unqualified product channel according to the sorting instruction, or the starting of the dynamic balance detection process of the linkage mechanism based on the appearance detection data comprises: According to the appearance detection data, the appearance defect level of the target motor shaft is obtained; If the appearance defect level is a major defect, a sorting instruction pointing to the unqualified product channel is generated, and the carrying manipulator is driven to transfer the target motor shaft to the unqualified product channel based on the sorting instruction; If the appearance defect level is no defect or slight defect, the dynamic balance detection process of the linkage mechanism is started, and the dynamic balance measurement of the target motor shaft is performed by the dynamic balance detection system.

4. The intelligent interfacing control method for motor shaft body machining process according to claim 1, characterized in that, The comparison of the initial unbalance amount data with the preset balance tolerance to generate a balance determination result, and the generation of a correction control parameter according to the initial unbalance amount data if the balance determination result is required to be corrected comprises: The initial unbalance amount data is compared with the preset balance tolerance, and the material mass to be removed is calculated and obtained; According to the material mass to be removed and the preset material density, the material volume to be removed is calculated; According to the material volume to be removed and the preset machining parameters of the correction tool, the correction control parameter including three-dimensional coordinate position and machining depth is generated.

5. The intelligent interfacing control method for motor shaft body machining process according to claim 1, characterized in that, The execution of the simulated material increase / decrease correction operation on the target motor shaft based on the correction control parameter, and the dynamic balance simulation analysis of the corrected target motor shaft to obtain residual unbalance amount data further comprises: The residual unbalance amount data is compared with the preset balance tolerance again; If the residual unbalance amount data is within the preset balance tolerance range, the correction control parameter is marked as "qualified" state; If the residual unbalance amount data exceeds the preset balance tolerance range, it is detected whether the correction control parameter reaches the preset threshold value, and if the correction control parameter does not reach the preset threshold value, the correction control parameter is adjusted according to the preset threshold value; If the correction control parameter reaches the preset threshold value, the correction control parameter is marked as "failure" state, and the target motor shaft is marked as unqualified product.

6. The intelligent interfacing control method for motor shaft body machining process according to claim 1, characterized in that, After the association and binding of the appearance detection data, the initial unbalance amount data, the correction control parameter and the residual unbalance amount data, the related data is uploaded to the manufacturing execution system, which comprises: The appearance detection data, the initial unbalance amount data, the correction control parameter and the residual unbalance amount data are bound with the unique identification code carried by the target motor shaft by scanning or reading, and the related data after the association and binding is uploaded to the manufacturing execution system.

7. The intelligent interfacing control method for motor shaft body machining process according to claim 1, characterized in that, The intelligent linkage control method further comprises: The initial unbalance amount data of a plurality of target motor shafts on the linkage mechanism is counted to generate a motor shaft machining evaluation chart of the machining process; The machining stability of the machining process is judged according to the motor shaft machining evaluation chart, and if the machining stability of the machining process is abnormal, a process adjustment instruction is generated according to the evaluation data of the motor shaft machining evaluation chart.

8. A motor shaft body machining process intelligent connection control system, characterized in that, In the process of connecting the motor shaft body processing procedure, the visual inspection and dynamic balance analysis of the motor shaft body are integrated, and the control system comprises: A detection module: for acquiring multi-angle image data of the target motor shaft body of the connecting mechanism through a visual detection system, processing the multi-angle image data, and generating appearance detection data containing defect judgment results and defect information; A judgment module: for generating a sorting instruction based on the appearance detection data, and controlling a handling robot to transfer the target motor shaft body to an unqualified product channel according to the sorting instruction, or starting a dynamic balance detection process of the connecting mechanism based on the appearance detection data; A dynamic balance analysis module: for performing dynamic balance verification on the target motor shaft body through a dynamic balance measurement system, acquiring unbalance mass and phase angle data of one or more correction planes on the target motor shaft body, and arranging the initial unbalance data, including: The centering clamping assembly of the connecting mechanism is used to center and clamp the target motor shaft body, and a rotary motor is used to drive the target motor shaft body to rotate; The detection probe of the dynamic balance measurement system is used to detect the rotational phase angle data of each correction plane of the target motor shaft body; The vibration amount of the target motor shaft body is measured by a sensor, and the unbalance mass data on each preset correction plane is calculated; The unbalance mass and phase angle data of one or more correction planes on the target motor shaft body are combined to arrange the initial unbalance data; A correction calculation module: for comparing the initial unbalance data with a preset balance tolerance to generate a balance judgment result, and if the balance judgment result is that correction is needed, generating correction control parameters according to the initial unbalance data; An analog correction module: for performing a simulated material increase / decrease correction operation on the target motor shaft body based on the correction control parameters, and performing dynamic balance simulation analysis on the corrected target motor shaft body to obtain residual unbalance data, including: An initial analysis model of the target motor shaft body is constructed based on the dynamic balance detection data of the target motor shaft body; A material increase / decrease simulation operation on the initial analysis model is generated based on the correction control parameters to obtain a corrected model after the simulation operation; Dynamic balance simulation analysis is performed on the corrected model under the condition of setting the same measurement parameters to obtain residual unbalance data; A data management module: for associating and binding the appearance detection data, the initial unbalance data, the correction control parameters, and the residual unbalance data, and uploading them to a manufacturing execution system.

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