Machining control system for mechanical parts

Abstract

The invention discloses a machining control system for mechanical parts, and belongs to the technical field of machining control. The method is used for solving the technical problems that in an existing scheme, the multi-dimensional supervision and analysis effect of quality detection of mechanical parts is poor, and the implementation effect of machining control is poor. Data analysis is carried out on target quality inspection data of different target parts, dynamic marking is carried out on the different target parts according to an analysis result, traceability analysis of abnormal quality influence is carried out on the marked unqualified parts, and targeted processing check adjustment is carried out on processing equipment to which the different unqualified parts belong. And standard operation and maintenance matching and adjustment influence analysis are carried out on the processing check adjustment data corresponding to different target processing devices, and targeted implementation control is carried out on subsequent operation and maintenance of target part processing in a self-adaptive manner according to an analysis result.

Description

Technical Field

[0001] The present invention relates to the technical field of machining control, and particularly relates to a machining control system for mechanical parts. Background Art

[0002] Machining control of mechanical parts refers to a series of measures and technical means taken during the manufacturing process to ensure that the dimensions, shapes, positions, surface qualities, etc. of mechanical parts meet the design requirements. It is an important link in the mechanical manufacturing process, and its main purpose is to ensure product quality, improve production efficiency, reduce costs, and achieve automation and intelligence in production.

[0003] After retrieval, a Chinese patent with the application number 2023115800066 and the name "A Component Dimension Quality Control System and Method" discloses that a detection module is used to perform real-time detection on the produced gears to obtain the detection data of each gear; a data analysis module is used to perform quality control analysis on the detection data of the gears, determine the corresponding detection results according to the detection data of each gear, and the detection results include whether the detection is qualified and the corresponding detailed result data; for unqualified detection, the detailed result data includes the unqualified position and the deviation value; for qualified detection, the detailed result data includes the error position and the error value; the gears are divided into several statistical parts, the detection results of each gear are obtained in real time, and the corresponding detection curve graphs of each statistical part are set according to the obtained detection results; based on each detection curve graph, it is judged whether gear production quality control is required.

[0004] However, when the existing machining control schemes for mechanical parts are implemented, most of them still stay at directly performing machining control based on the quality inspection data of the parts, without mining and analyzing abnormal quality inspection data from different dimensions, and implementing diversified machining control on different abnormal parts and machining equipment according to the analysis results. There are problems such as poor multi-dimensional supervision and analysis effects of the quality inspection of mechanical parts and poor implementation effects of machining control. Summary of the Invention

[0005] The purpose of the present invention is to provide a machining control system for mechanical parts, which is used to solve the technical problems of poor multi-dimensional supervision and analysis effects of the quality inspection of mechanical parts and poor implementation effects of machining control in the existing schemes.

[0006] The purpose of the present invention can be achieved by the following technical solutions: A machining control system for mechanical parts, including a machining quality inspection supervision control module, which is used to perform quality inspection on produced target parts, obtain quality inspection data corresponding to different target parts, perform data analysis on the quality inspection data, dynamically mark different target parts according to the analysis results, and perform traceability analysis on the impact of quality abnormalities on marked unqualified parts, and implement targeted machining verification and adjustment on the machining equipment to which different unqualified parts belong according to the analysis results; The processing quality inspection control and operation and maintenance management module is used to match the standard operation and maintenance of the processing verification and adjustment data corresponding to different target processing equipment and perform adjustment impact analysis, and adaptively implement targeted control on the subsequent operation and maintenance of target parts processing based on the analysis results; including the key implementation of operation and maintenance content, the upgrade and update of operation and maintenance content, and the supplement and improvement of operation and maintenance content.

[0007] Preferably, the quality inspection result in the quality inspection data corresponding to the target component is obtained and analyzed, and if the quality inspection result is qualified, the target component is marked as a qualified component; If the quality inspection result is unqualified, the target component is marked as an unqualified component, and the unqualified position and unqualified data in the quality inspection data corresponding to the unqualified component are obtained; When conducting a traceability analysis of the impact of quality anomalies on unqualified parts, the unqualified positions and unqualified data in the quality inspection data corresponding to the unqualified parts are analyzed through the quality inspection recognition model, and the quality anomaly coefficient ZX corresponding to the unqualified parts is output; Among them, the expression of the quality inspection recognition model is: ; In the formula, a and b are the unqualified position and unqualified data corresponding to the unqualified parts respectively; U1 and U2 are the verification position range set and the verification position abnormal data set respectively; The quality anomaly factor contains a value of 0 or 1.

[0008] Preferably, the mark of the unqualified component is updated to the first abnormal component according to the quality abnormality coefficient with a value of 0; According to the quality abnormality coefficient with a value of 1, the mark of the unqualified component is updated to the second abnormal component, the processing equipment to which it belongs is determined according to the unqualified position of the second abnormal component and the first target processing equipment is marked, and processing verification and adjustment are performed on all the first target processing equipment; And, counting all the unqualified positions and unqualified data corresponding to all the first abnormal parts, and sorting and combining all the unqualified data corresponding to the same unqualified position to obtain an unqualified data set corresponding to the unqualified position; All unqualified positions corresponding to all first abnormal parts and corresponding associated unqualified data sets are sorted and combined to obtain a corresponding unqualified combination set.

[0009] Preferably, when performing the processing and analysis of local quality anomalies on the unqualified combination set, the unqualified data sets corresponding to the unqualified positions are obtained in sequence, and through the formula the influence value WY of the abnormal position corresponding to the unqualified position is calculated; in the formula, α is the position influence coefficient corresponding to the unqualified position; N is the total number of quality anomalies corresponding to the unqualified position; N´ is the total number of target parts produced in the same batch.

[0010] Preferably, the processing equipment to which different unqualified positions belong is obtained, and through the formula the influence value JY of abnormal processing corresponding to all unqualified positions associated with the same processing equipment is calculated; in the formula, i is all unqualified positions associated with the same processing equipment, i = 1, 2, 3,..., n; n is a positive integer representing the total number of all unqualified positions; A and B are the required number of unqualified equipment and the influence value of the required unqualified equipment corresponding to the processing equipment respectively.

[0011] Preferably, the influence values of abnormal processing associated with different processing equipment are obtained and analyzed; When the influence value of abnormal processing is less than or equal to K, it is determined that the influence of abnormal processing on all unqualified positions corresponding to the processing equipment is low, and it is marked as an alternative processing equipment; K is a real number; When the influence value of abnormal processing is greater than K, it is determined that the influence of abnormal processing on all unqualified positions corresponding to the processing equipment is high, and it is marked as the second target processing equipment, and processing verification and adjustment are performed on all second target processing equipment.

[0012] Preferably, the processing verification and adjustment items corresponding to all first target processing equipment and second target processing equipment are counted and sorted and combined to obtain an active verification and adjustment set; The different processing verification and adjustment items in the active verification and adjustment set are traversed and matched with the standard operation and maintenance implementation item set in sequence; If the processing verification and adjustment item is in the standard operation and maintenance implementation item set, the processing verification and adjustment item to which it belongs is marked as the first verification and adjustment item; If the processing verification and adjustment item is not in the standard operation and maintenance implementation item set, the processing verification and adjustment item to which it belongs is marked as the second verification and adjustment item.

[0013] Preferably, the total number of processing verification and adjustments corresponding to different first verification and adjustment items is counted in sequence, and through the formula Calculate the adjustment influence value YTj corresponding to different first verification adjustment items; where j represents different first verification adjustment items, j = 1, 2, 3, ……, m; m is a positive integer representing the total number of all first verification adjustment items; NTj is the total number of processing verification adjustments corresponding to different first verification adjustment items; NZ is the value obtained by summing up the total number of processing verification adjustments corresponding to all first verification adjustment items; C is the adjustment influence limit value.

[0014] Preferably, if YTj ≤ M, it is determined that the implementation of the corresponding first verification adjustment item is slightly abnormal, and the first verification adjustment item to which it belongs is marked as the first operation and maintenance optimization item; M is a real number; If YTj > M, it is determined that the implementation of the corresponding first verification adjustment item is severely abnormal, and the first verification adjustment item to which it belongs is marked as the second operation and maintenance optimization item.

[0015] Preferably, focus on implementing the subsequent operation and maintenance of all first operation and maintenance optimization items, and upgrade and update the subsequent operation and maintenance of all second operation and maintenance optimization items. At the same time, add the corresponding second verification adjustment items to the subsequent operation and maintenance content.

[0016] Compared with the existing solution, the beneficial effects achieved by the present invention are: By analyzing the target quality inspection data of different target parts, dynamically marking different target parts according to the analysis results, tracing and analyzing the quality anomaly impacts of the marked unqualified parts, and implementing targeted processing verification adjustments on the processing equipment to which different unqualified parts belong, the present invention realizes multi-dimensional anomaly impact data analysis and control of abnormal processed parts, improves the multi-dimensional supervision and analysis effect of the quality inspection of mechanical parts and the implementation effect of processing control.

[0017] By matching and analyzing the adjustment influence of the processing verification adjustment data corresponding to different target processing equipment with standard operation and maintenance, and adaptively implementing targeted control on the subsequent operation and maintenance of target part processing according to the analysis results, the present invention realizes active prevention and optimization management of the processing quality of mechanical parts from the aspect of operation and maintenance, can further control the processing quality of mechanical parts, and improves the diversity and active prevention effect of mechanical part processing control. Brief Description of the Drawings

[0018] The following further describes the present invention with reference to the drawings.

[0019] Figure 1 It is a flow block diagram of the operation of a processing control system for a kind of mechanical parts of the present invention.

[0020] Figure 2 It is a flow block diagram for data analysis of the quality anomaly coefficient in the present invention.

[0021] Figure 3 This is a flowchart for data analysis of abnormal processing influence values in the present invention.

[0022] Figure 4 This is a flowchart for data analysis of adjustment influence values in the present invention. Detailed implementation manners

[0023] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0024] As Figure 1 shown, the present invention is a processing control system for mechanical parts, including a processing quality inspection supervision control module and a processing quality inspection control operation and maintenance management and control module; The processing quality inspection supervision control module is used to perform quality inspection on the produced target parts, obtain the quality inspection data corresponding to different target parts, perform data analysis on the quality inspection data, and dynamically mark different target parts according to the analysis results, and perform traceability analysis on the quality anomalies of the marked unqualified parts. According to the analysis results, targeted processing verification and adjustment are carried out on the processing equipment to which different unqualified parts belong; including: Obtain and analyze the quality inspection results in the quality inspection data corresponding to the target parts. If the quality inspection result is qualified, mark the target part to which it belongs as a qualified part; If the quality inspection result is unqualified, mark the target part to which it belongs as an unqualified part, and obtain the unqualified position and unqualified data in the quality inspection data corresponding to the unqualified part; Among them, the target part is a mechanical part, and the specific part can be determined according to the actual application requirements of the actual application scenario, and no limitation is made here; In addition, the quality inspection of the target parts is a conventional technical solution in the prior art, and the specific implementation steps are not described here; the unqualified position is the specific position where the quality inspection of the target part is abnormal, and the unqualified data includes specific quality inspection abnormal parameters; When performing traceability analysis on the quality anomalies of unqualified parts, the unqualified position and unqualified data in the quality inspection data corresponding to the unqualified parts are analyzed through a quality inspection recognition model, and the quality anomaly coefficient ZX corresponding to the unqualified parts is output; Among them, the expression of the quality inspection recognition model is ; In the formula, a and b are the unqualified position and unqualified data corresponding to the unqualified parts respectively; U1 and U2 are the verification position range set and the verification position abnormal data set respectively; the verification position range set and the verification position abnormal data set are determined according to the existing quality inspection abnormality requirement data of the target parts, and are used to analyze and determine the unqualified type range corresponding to the unqualified parts from different aspects; The quality anomaly coefficient contains a value of 0 or 1; It should be noted that the quality anomaly coefficient is used to process and calculate different non-conforming data corresponding to non-conforming parts to digitally represent the corresponding non-conforming types; like Figure 2 As shown, according to the quality abnormality coefficient with a value of 0, the mark of the unqualified component is updated to the first abnormal component; According to the quality abnormality coefficient with a value of 1, the mark of the unqualified component is updated to the second abnormal component, the processing equipment to which it belongs is determined according to the unqualified position of the second abnormal component and the first target processing equipment is marked, and processing verification and adjustment are performed on all the first target processing equipment; It should be noted that the first abnormal component can be understood as a conventional quality problem, which meets the existing quality unqualified error requirements, and can be further analyzed for quality impact data and subsequent processing control; the second abnormal component can be understood as a special quality problem, which does not meet the existing quality unqualified error requirements, and requires immediate processing verification and adjustment of the corresponding processing equipment; And, counting all the unqualified positions and unqualified data corresponding to all the first abnormal parts, and sorting and combining all the unqualified data corresponding to the same unqualified position to obtain an unqualified data set corresponding to the unqualified position; Sorting and combining all the unqualified positions corresponding to all the first abnormal parts and the corresponding associated unqualified data sets to obtain a corresponding unqualified combination set; When performing local quality anomaly processing and analysis on the unqualified combination set, the unqualified data sets corresponding to the unqualified positions are obtained in sequence, and the formula Calculate and obtain the abnormal position influence value WY corresponding to the unqualified position; where α is the position influence coefficient corresponding to the unqualified position. The specific value of the position influence coefficient can be determined according to the design requirement data corresponding to different unqualified positions, or according to the total number of abnormalities corresponding to different unqualified positions in history; N is the total number of quality abnormalities corresponding to the unqualified position; N´ is the total number of target parts produced in the same batch; It should be noted that the abnormal position impact value is used to process and calculate all quality abnormality data corresponding to the unqualified position to digitally represent the impact of the corresponding abnormal position; Moreover, obtain the processing equipment to which different unqualified positions belong, and through the formula calculate and obtain the abnormal processing influence value JY corresponding to all unqualified positions associated with the same processing equipment; in the formula, i is all unqualified positions associated with the same processing equipment, i = 1, 2, 3, ……, n; n is a positive integer representing the total number of all unqualified positions; A and B are respectively the unqualified equipment requirement quantity and the unqualified equipment requirement influence value corresponding to the processing equipment, both of which can be determined according to the operation design requirement data corresponding to the processing equipment, or can be determined according to the previous operation abnormal test data corresponding to the processing equipment; It should be noted that the abnormal processing influence value is used to process and calculate the quality abnormal data of all unqualified positions generated by the corresponding processing of the processing equipment, so as to digitally represent the corresponding abnormal processing influence; As Figure 3 shown, obtain and analyze the abnormal processing influence values associated with different processing equipment; When the abnormal processing influence value is less than or equal to K, it is judged that the abnormal processing influence of all unqualified positions corresponding to the processing equipment is low, and it is marked as an alternative processing equipment; K is a real number, specifically, it can take the value of 2, or can be adjusted according to the application requirements of the actual application scenario; When the abnormal processing influence value is greater than K, it is judged that the abnormal processing influence of all unqualified positions corresponding to the processing equipment is high, and it is marked as the second target processing equipment, and processing verification and adjustment are performed on all second target processing equipment; It should be noted that by expanding and mining the quality abnormal influence of all the first abnormal parts obtained through the previous processing, the data processing and analysis of the abnormal processing influence of different processing equipment corresponding to all the first abnormal parts are carried out, and targeted processing verification and adjustment are implemented on different processing equipment according to the analysis results, which improves the diversity and comprehensiveness of the quality control of the parts corresponding to the abnormal processing.

[0025] Different from the existing technical solution that directly processes the detected abnormal processing parts without carrying out in-depth multi-dimensional data expansion and mining analysis of the abnormal position influence and abnormal processing influence of the abnormal processing parts, resulting in a single processing control method and poor control effect for the abnormal processing parts; in the embodiment of the present invention, by analyzing the target quality inspection data of different target parts, dynamically marking different target parts according to the analysis results, tracing and analyzing the quality abnormal influence of the marked unqualified parts, and implementing targeted processing verification and adjustment on the processing equipment to which different unqualified parts belong, multi-dimensional abnormal influence data analysis and control of the abnormal processing parts are realized, and the multi-dimensional supervision and analysis effect of the quality inspection of mechanical parts and the implementation effect of the processing control are improved.

[0026] The processing quality inspection and control operation and maintenance management module is used to match and analyze the impact of the processing verification and adjustment data corresponding to different target processing equipment for standard operation and maintenance, and adaptively implement targeted control over the subsequent operation and maintenance of the target component processing according to the analysis results; including the key implementation of operation and maintenance content, the upgrade and update of operation and maintenance content, and the supplement and improvement of operation and maintenance content; including: Statistically sort and combine the processing verification and adjustment items corresponding to all first target processing equipment and second target processing equipment to obtain an active verification and adjustment set; Traverse and match different processing verification and adjustment items in the active verification and adjustment set with the standard operation and maintenance implementation item set in turn; Among them, the standard operation and maintenance implementation item set contains several sample operation and maintenance implementation items, and several sample operation and maintenance implementation items are determined based on the actual operation and maintenance content of the actual application scenario; If the processing verification and adjustment item is in the standard operation and maintenance implementation item set, mark the affiliated processing verification and adjustment item as the first verification and adjustment item; If the processing verification and adjustment item is not in the standard operation and maintenance implementation item set, mark the affiliated processing verification and adjustment item as the second verification and adjustment item; Statistically count the total number of processing verifications and adjustments corresponding to different first verification and adjustment items in turn, and use the formula Calculate the adjustment impact value YTj corresponding to different first verification and adjustment items; in the formula, j is different first verification and adjustment items, j = 1, 2, 3,..., m; m is a positive integer, representing the total number of all first verification and adjustment items; NTj is the total number of processing verifications and adjustments corresponding to different first verification and adjustment items; NZ is the sum of the total number of processing verifications and adjustments corresponding to all first verification and adjustment items; C is the adjustment impact limit value, which can be determined according to the operation and maintenance design requirement data corresponding to the processing equipment, or can be determined according to the previous operation and maintenance test data corresponding to the processing equipment; It should be explained that the adjustment impact value is used to process and calculate all the processing verification and adjustment data corresponding to the first verification and adjustment item to digitally represent its corresponding adjustment impact; As Figure 4 shown, if YTj ≤ M, it is judged that the implementation of the corresponding first verification and adjustment item is slightly abnormal, and mark the affiliated first verification and adjustment item as the first operation and maintenance optimization item; M is a real number, and the specific value can be 0, or can be adjusted according to the application requirements of the actual application scenario; If YTj > M, it is judged that the implementation of the corresponding first verification and adjustment item is severely abnormal, and mark the affiliated first verification and adjustment item as the second operation and maintenance optimization item; Key implement the subsequent operation and maintenance of all first operation and maintenance optimization items, and upgrade and update the subsequent operation and maintenance of all second operation and maintenance optimization items, and at the same time supplement and add the affiliated second verification and adjustment items to the subsequent operation and maintenance content; It should be noted that, different from the existing technical solutions which only process and check the mechanical parts with quality inspection abnormalities for adjustment, without further expanding the analysis of the operation and maintenance of the processing equipment, resulting in the subsequent operation and maintenance unable to implement targeted optimization management, and further resulting in poor active prevention effect on the processing quality of subsequent mechanical parts.

[0027] In the embodiments of the present invention, by matching and analyzing the influence of the processing check and adjustment data corresponding to different target processing equipment for standard operation and maintenance, and adaptively implementing targeted control on the subsequent operation and maintenance of the target part processing according to the analysis results, the active prevention and optimization management of the processing quality of mechanical parts from the aspect of operation and maintenance are realized, which can further control the processing quality of mechanical parts and improve the diversity and active prevention effect of the processing control of mechanical parts.

[0028] In several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are merely illustrative. For example, the division of modules is only a logical function division, and there can be other division methods in actual implementation.

[0029] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules. They can be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0030] In addition, in each embodiment of the present invention, the functional modules can be integrated in a processing module, or each module can exist physically alone, or two or more modules can be integrated in one module. The above integrated modules can be implemented in the form of hardware or in the form of a combination of hardware and software functional modules.

[0031] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and can be implemented in other specific forms without departing from the basic characteristics of the present invention.

[0032] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A machining control system for mechanical parts, characterized in that: It includes a processing quality inspection supervision and control module, which is used to perform quality inspection on the target parts produced, obtain quality inspection data corresponding to different target parts, analyze the quality inspection data, dynamically mark different target parts according to the analysis results, and conduct traceability analysis on the impact of quality abnormalities on the marked unqualified parts, and implement targeted processing verification and adjustment on the processing equipment to which the different unqualified parts belong according to the analysis results; The processing quality inspection control and operation and maintenance management module is used to match the standard operation and maintenance of the processing verification and adjustment data corresponding to different target processing equipment and perform adjustment impact analysis, and adaptively implement targeted control on the subsequent operation and maintenance of target parts processing based on the analysis results; including the key implementation of operation and maintenance content, the upgrade and update of operation and maintenance content, and the supplement and improvement of operation and maintenance content.

2. A machining control system for mechanical parts according to claim 1, characterized in that: Obtain and analyze the quality inspection results in the quality inspection data corresponding to the target component. If the quality inspection result is qualified, mark the target component as a qualified component. If the quality inspection result is unqualified, the target component is marked as an unqualified component, and the unqualified position and unqualified data in the quality inspection data corresponding to the unqualified component are obtained; When conducting a traceability analysis of the impact of quality anomalies on unqualified parts, the unqualified positions and unqualified data in the quality inspection data corresponding to the unqualified parts are analyzed through the quality inspection recognition model, and the quality anomaly coefficient ZX corresponding to the unqualified parts is output; Among them, the expression of the quality inspection recognition model is: ; In the formula, a and b are the unqualified position and unqualified data corresponding to the unqualified parts respectively; U1 and U2 are the verification position range set and the verification position abnormal data set respectively; The quality anomaly factor contains a value of 0 or 1.

3. A machining control system for mechanical parts according to claim 2, characterized in that: According to the quality abnormality coefficient with a value of 0, the mark of the unqualified component is updated to the first abnormal component; According to the quality abnormality coefficient with a value of 1, the mark of the unqualified component is updated to the second abnormal component, the processing equipment to which it belongs is determined according to the unqualified position of the second abnormal component and the first target processing equipment is marked, and processing verification and adjustment are performed on all the first target processing equipment; And, counting all the unqualified positions and unqualified data corresponding to all the first abnormal parts, and sorting and combining all the unqualified data corresponding to the same unqualified position to obtain an unqualified data set corresponding to the unqualified position; All unqualified positions corresponding to all first abnormal parts and corresponding associated unqualified data sets are sorted and combined to obtain a corresponding unqualified combination set.

4. A machining control system for mechanical parts according to claim 3, characterized in that: When performing local quality anomaly processing and analysis on the unqualified combination set, the unqualified data sets corresponding to the unqualified positions are obtained in sequence, and the formula Calculate and obtain the abnormal position influence value WY corresponding to the unqualified position; where α is the position influence coefficient corresponding to the unqualified position; N is the total number of quality anomalies corresponding to the unqualified position; and N´ is the total number of target parts produced in the same batch.

5. A machining control system for mechanical parts according to claim 4, characterized in that: Get the processing equipment to which different unqualified positions belong, and use the formula Calculate and obtain the abnormal processing impact value JY corresponding to all unqualified positions associated with the same processing equipment; where i is all unqualified positions associated with the same processing equipment, i=1, 2, 3, ..., n; n is a positive integer, representing the total number of all unqualified positions; A and B are the required number of unqualified equipment and the required impact value of unqualified equipment corresponding to the corresponding processing equipment, respectively.

6. A machining control system for mechanical parts according to claim 5, characterized in that: Obtain and analyze the abnormal processing impact values ​​associated with different processing equipment; When the abnormal processing impact value is less than or equal to K, it is judged that the abnormal processing impact of the corresponding processing equipment for all unqualified positions is low, and it is marked as an alternative processing equipment; K is a real number; When the abnormal processing impact value is greater than K, it is judged that the abnormal processing impact of all unqualified positions of the corresponding processing equipment is high, and it is marked as the second target processing equipment, and processing verification and adjustment are performed on all second target processing equipment.

7. A machining control system for mechanical parts according to claim 6, characterized in that: Counting and sorting the processing verification and adjustment items corresponding to all the first target processing equipment and the second target processing equipment to obtain an active verification and adjustment set; The different processing check and adjustment items in the active check and adjustment set are traversed and matched with the standard operation and maintenance implementation item set in turn; If the processing verification adjustment item is in the standard operation and maintenance implementation item set, the corresponding processing verification adjustment item is marked as the first verification adjustment item; If the processing verification and adjustment item is not in the standard operation and maintenance implementation item set, the corresponding processing verification and adjustment item will be marked as the second verification and adjustment item.

8. A machining control system for mechanical parts according to claim 7, characterized in that: The total number of machining check adjustments corresponding to different first check adjustment items is counted in turn, and the formula is used Calculate the adjustment impact value YTj corresponding to different first check adjustment items; Where, j is a different first check adjustment item, j=1, 2, 3, ..., m; m is a positive integer, representing the total number of all first calibration adjustment items; NTj is the total number of machining calibration adjustments corresponding to different first calibration adjustment items; NZ is the sum of the total number of machining calibration adjustments corresponding to all first calibration adjustment items; C is the adjustment impact limit value.

9. A machining control system for mechanical parts according to claim 8, characterized in that: If YTj≤M, the implementation of the corresponding first check and adjustment item is judged to be slightly abnormal, and the corresponding first check and adjustment item is marked as the first operation and maintenance optimization item; M is a real number; If YTj>M, the implementation of the corresponding first verification and adjustment item is judged to be severely abnormal, and the corresponding first verification and adjustment item is marked as the second operation and maintenance optimization item.

10. A machining control system for mechanical parts according to claim 9, characterized in that: Focus on implementing the subsequent operation and maintenance of all first operation and maintenance optimization items, and upgrade and update the subsequent operation and maintenance of all second operation and maintenance optimization items. At the same time, add the corresponding second verification and adjustment items to the subsequent operation and maintenance content.

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