Part production equipment quality monitoring feedback system and method

Abstract

The invention relates to the technical field of equipment monitoring management, and discloses a part production equipment quality monitoring feedback system and method, and the system comprises an acquisition module which comprises a part acquisition unit and an equipment acquisition unit; the part monitoring module is configured to preliminarily obtain a part qualification index according to the part defective rate and the part defective frequency and correct the part qualification index according to the average life of the part; the equipment monitoring module is configured to obtain an equipment health index according to the equipment fault frequency and the equipment working duration, and adjust the equipment health index according to the average fault interval duration; and the feedback module is configured to calculate a comprehensive evaluation value according to the part qualification index final value and the equipment health index final value, and shorten the equipment maintenance period according to the comprehensive evaluation value. Through data-driven decision making, the product quality consistency can be improved, the service life of equipment is prolonged, and the maintenance cost is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment monitoring and management, and in particular, to a quality monitoring and feedback system and method for part production equipment. Background Art

[0002] In modern manufacturing, the quality stability of part production equipment directly affects the product qualification rate and production efficiency. Traditional equipment monitoring methods usually rely on manual inspections or simple fault alarm systems, making it difficult to evaluate the equipment health status and part quality trends in real time and accurately. In addition, equipment maintenance usually adopts a fixed-cycle mode, which is prone to over-maintenance or under-maintenance, and lacks the dynamic adjustment ability based on real-time data.

[0003] Currently, some enterprises adopt independent part quality inspection systems or equipment status monitoring systems, but the two often operate separately and cannot establish an association analysis between part quality and equipment health. For example, an increase in the part defective rate may be an early sign of equipment performance deterioration, but traditional methods are difficult to identify such correlations in a timely manner, resulting in delayed problem handling and affecting production efficiency and product quality.

[0004] Therefore, it is necessary to provide a quality monitoring and feedback system and method for part production equipment to solve the problem that the part quality inspection and equipment status monitoring systems in current enterprises operate separately, making it difficult to timely discover the correlation between part quality and equipment health, and affecting production efficiency and product quality. Summary of the Invention

[0005] In view of this, the present invention proposes a quality monitoring and feedback system and method for part production equipment, aiming to solve the problem that the part quality inspection and equipment status monitoring systems in current enterprises operate separately, making it difficult to timely discover the correlation between part quality and equipment health, and affecting production efficiency and product quality.

[0006] On the one hand, the present invention proposes a quality monitoring and feedback system for part production equipment, including:

[0007] A collection module, including a part collection unit and an equipment collection unit; the part collection unit is used to collect part parameters, and the equipment collection unit is used to collect equipment parameters; wherein, the part parameters include part defective rate, part defect frequency, and part life; the equipment parameters include the number of equipment failures, equipment failure interval duration, and equipment working duration;

[0008] The part monitoring module is configured to initially obtain a part qualification index based on the part defective rate and part defect frequency, calculate the average part life according to the part life, determine whether to correct the part qualification index based on the average part life, and if it is determined that correction is needed, correct the part qualification index according to the average part life to obtain the final value of the part qualification index;

[0009] The equipment monitoring module is configured to obtain an equipment health index based on the number of equipment failures and the equipment working hours, calculate the average failure interval duration according to the equipment failure interval duration, and adjust the equipment health index according to the average failure interval duration to obtain the final value of the equipment health index;

[0010] The feedback module is configured to determine whether to shorten the equipment maintenance cycle based on the final value of the part qualification index and the final value of the equipment health index. If it is determined that the equipment maintenance cycle needs to be shortened, calculate a comprehensive evaluation value based on the final value of the part qualification index and the final value of the equipment health index, and shorten the equipment maintenance cycle according to the comprehensive evaluation value.

[0011] Further, when the part monitoring module is configured to initially obtain a part qualification index based on the part defective rate and part defect frequency, it includes:

[0012] Set a maximum defective rate and a maximum defect frequency. If the part defective rate is less than the maximum defective rate and the part defect frequency is less than the maximum defect frequency, the part qualification index is the first part index;

[0013] If the part defective rate is less than the maximum defective rate and the part defect frequency is greater than or equal to the maximum defect frequency, the part qualification index is the second part index;

[0014] If the part defective rate is greater than or equal to the maximum defective rate and the part defect frequency is less than the maximum defect frequency, the part qualification index is the second part index;

[0015] If the part defective rate is greater than or equal to the maximum defective rate and the part defect frequency is greater than or equal to the maximum defect frequency, the part qualification index is the third part index;

[0016] Wherein, the first part index is greater than the second part index, and the second part index is greater than the third part index.

[0017] Further, when the part monitoring module is configured to determine whether to correct the part qualification index based on the average part life, it includes:

[0018] Obtain the number of parts with a lifespan lower than the average lifespan of the parts, denoted as the first part number, and determine whether to correct the part qualification index based on the ratio of the first part number to the total number of parts;

[0019] Set a ratio threshold. If the ratio is less than or equal to the ratio threshold, it is determined that no correction is required for the part qualification index; if the ratio is greater than the ratio threshold, it is determined that correction is required for the part qualification index.

[0020] Furthermore, when the part monitoring module is configured to correct the part qualification index based on the average lifespan of the parts to obtain the final value of the part qualification index, it includes:

[0021] Set a lifespan range. If the average lifespan is greater than the maximum value of the lifespan range, correct the part qualification index by the first correction factor;

[0022] If the average lifespan is within the lifespan range, correct the part qualification index by the second correction factor;

[0023] If the average lifespan is less than the minimum value of the lifespan range, correct the part qualification index by the third correction factor;

[0024] Among them, the value range of the correction factor is: 1 > the first correction factor > the second correction factor > the third correction factor > 0, and the final value of the part qualification index is the product value of the part qualification index and the correction factor.

[0025] Furthermore, when the equipment monitoring module is configured to obtain the equipment health index based on the number of equipment failures and the equipment working hours, it includes:

[0026] Set the maximum number of failures and the maximum working hours. If the number of equipment failures is less than the maximum number of failures and the equipment working hours are less than the maximum working hours, the equipment qualification index is the first equipment index;

[0027] If the number of equipment failures is less than the maximum number of failures and the equipment working hours are greater than or equal to the maximum working hours, the equipment qualification index is the second equipment index;

[0028] If the number of equipment failures is greater than or equal to the maximum number of failures and the equipment working hours are less than the maximum working hours, the equipment qualification index is the second equipment index;

[0029] If the number of equipment failures is greater than or equal to the maximum number of failures and the equipment working hours are greater than or equal to the maximum working hours, the equipment qualification index is the third equipment index;

[0030] Among them, the first device index is greater than the second device index, and the second device index is greater than the third device index.

[0031] Furthermore, when the device monitoring module is configured to adjust the device health index according to the mean time between failures to obtain the final value of the device health index, it includes:

[0032] Set a first interval and a second interval, where the first interval is greater than the second interval;

[0033] If the mean time between failures is greater than the first interval, the device health index is not adjusted;

[0034] If the mean time between failures is less than or equal to the first interval and greater than or equal to the second interval, the device health index is adjusted by a first adjustment coefficient;

[0035] If the mean time between failures is less than the second interval, the device health index is adjusted by a second adjustment coefficient;

[0036] Among them, the value range of the adjustment coefficient is 1 > the first adjustment coefficient > the second adjustment coefficient > 0, and the final value of the device health index is the product value of the device health index and the adjustment coefficient.

[0037] Furthermore, when the feedback module is configured to determine whether to shorten the device maintenance cycle according to the final value of the part qualification index and the final value of the device health index, it includes:

[0038] Set a minimum value of the part qualification index and a minimum value of the device health index;

[0039] If the final value of the part qualification index is greater than or equal to the minimum value of the part qualification index, and the final value of the device health index is greater than or equal to the final value of the device health index, it is determined not to shorten the device maintenance cycle;

[0040] Otherwise, it is determined to shorten the device maintenance cycle.

[0041] Furthermore, when the feedback module is configured to calculate a comprehensive evaluation value according to the final value of the part qualification index and the final value of the device health index, it includes:

[0042] The comprehensive evaluation value is the sum value of the weighted sum of the final value of the part qualification index and the final value of the device health index.

[0043] Furthermore, when the feedback module is configured to shorten the device maintenance cycle according to the comprehensive evaluation value, it includes:

[0044] Set a first evaluation value and a second evaluation value, where the first evaluation value is less than the second evaluation value;

[0045] If the comprehensive evaluation value is less than or equal to the first evaluation value, shorten the equipment maintenance cycle by a first shortening coefficient;

[0046] If the comprehensive evaluation value is greater than the first evaluation value and less than or equal to the second evaluation value, shorten the equipment maintenance cycle by the second shortening coefficient;

[0047] If the comprehensive evaluation value is greater than the second evaluation value, shorten the equipment maintenance cycle by a third shortening coefficient;

[0048] Among them, the value range of the shortening coefficient is 1 > the third shortening coefficient > the second shortening coefficient > the first shortening coefficient > 0, and the shortened equipment maintenance cycle is the product value of the equipment maintenance cycle before shortening and the shortening coefficient.

[0049] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention can effectively improve the intelligent level and efficiency of production management. First of all, through the integrated data acquisition module, the system can obtain part parameters and equipment parameters in real time, forming a comprehensive data basis, and solving the problems of low efficiency and large errors in traditional manual detection. Secondly, the part monitoring module realizes the accurate evaluation of part quality by dynamically calculating the part qualification index and correcting it in combination with life data, which helps to timely discover raw material or process defects and reduce batch quality risks. The equipment monitoring module objectively reflects the health status of the equipment through the comprehensive analysis of the health index and the mean time between failures, avoiding production interruptions caused by sudden failures. More importantly, the feedback module intelligently judges the need for maintenance cycle adjustment by integrating part and equipment data, quantifies the decision-making basis with the comprehensive evaluation value, and upgrades the maintenance strategy from "regular maintenance" to "predictive maintenance", which not only avoids the waste of resources caused by over-maintenance, but also prevents production accidents caused by insufficient maintenance. Generally speaking, the system can improve the consistency of product quality, extend the service life of equipment and optimize the maintenance cost through data-driven decision-making.

[0050] On the other hand, the present application also provides a method for monitoring and feedback on the quality of part production equipment, including:

[0051] Collect part parameters and equipment parameters; among them, the part parameters include part defective rate, part defect frequency and part life; the equipment parameters include the number of equipment failures, the mean time between equipment failures and the equipment working hours;

[0052] Based on the defective rate and defective frequency of the parts, the part qualification index is initially obtained. The average life of the parts is calculated according to the part life. It is judged whether to correct the part qualification index according to the average life of the parts. If it is judged that correction is needed, the part qualification index is corrected according to the average life of the parts to obtain the final value of the part qualification index;

[0053] Based on the number of equipment failures and the equipment working hours, the equipment health index is obtained. The average failure interval is calculated according to the equipment failure interval. The equipment health index is adjusted according to the average failure interval to obtain the final value of the equipment health index;

[0054] It is judged whether to shorten the equipment maintenance cycle according to the final value of the part qualification index and the final value of the equipment health index. If it is judged that the equipment maintenance cycle needs to be shortened, the comprehensive evaluation value is calculated according to the final value of the part qualification index and the final value of the equipment health index, and the equipment maintenance cycle is shortened according to the comprehensive evaluation value.

[0055] It can be understood that the part production equipment quality monitoring and feedback system and method provided in this application have the same beneficial effects and will not be elaborated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered as a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0057] Figure 1 is a functional block diagram of the part production equipment quality monitoring and feedback system provided by an embodiment of the present invention;

[0058] Figure 2 is a flowchart of the part production equipment quality monitoring and feedback method provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0059] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be fully conveyed to those skilled in the art. It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the drawings and in combination with the embodiments.

[0060] In some embodiments of the present application, refer to Figure 1As shown in the figure, this embodiment provides a quality monitoring and feedback system for a parts production device, including:

[0061] A collection module, including a parts collection unit and a device collection unit; the parts collection unit is used to collect parts parameters, and the device collection unit is used to collect device parameters; wherein, the parts parameters include the parts defective rate, the parts defective frequency, and the parts lifespan; the device parameters include the number of device failures, the device failure interval duration, and the device working duration;

[0062] A parts monitoring module, configured to initially obtain a parts qualification index based on the parts defective rate and the parts defective frequency, calculate the average parts lifespan based on the parts lifespan, determine whether to correct the parts qualification index according to the average parts lifespan, and if it is determined that correction is required, correct the parts qualification index according to the average parts lifespan to obtain the final value of the parts qualification index;

[0063] A device monitoring module, configured to obtain a device health index based on the number of device failures and the device working duration, calculate the average failure interval duration based on the device failure interval duration, and adjust the device health index according to the average failure interval duration to obtain the final value of the device health index;

[0064] A feedback module, configured to determine whether to shorten the device maintenance cycle according to the final value of the parts qualification index and the final value of the device health index. If it is determined that the device maintenance cycle needs to be shortened, calculate a comprehensive evaluation value according to the final value of the parts qualification index and the final value of the device health index, and shorten the device maintenance cycle according to the comprehensive evaluation value.

[0065] It can be understood that the present invention can effectively improve the intelligent level and efficiency of production management. First of all, through the integrated data collection module, the system can obtain parts parameters and device parameters in real time, forming a comprehensive data basis, solving the problems of low efficiency and large errors in traditional manual detection. Secondly, the parts monitoring module realizes the accurate evaluation of parts quality by dynamically calculating the parts qualification index and combining lifespan data, which helps to timely discover raw material or process defects and reduce batch quality risks. The device monitoring module objectively reflects the device health status through the comprehensive analysis of the health index and the failure interval duration, avoiding production interruptions caused by sudden failures. More importantly, the feedback module intelligently judges the need for maintenance cycle adjustment by integrating parts and device data, quantifies the decision-making basis with the comprehensive evaluation value, and upgrades the maintenance strategy from "regular maintenance" to "predictive maintenance", which not only avoids the waste of resources caused by over-maintenance but also prevents production accidents caused by insufficient maintenance. Generally speaking, this system can improve the product quality consistency, extend the device service life, and optimize the maintenance cost through data-driven decision-making.

[0066] In some embodiments of the present application, when the part monitoring module is configured to initially obtain a part qualification index based on the part defective rate and the part defect frequency, it includes:

[0067] Set a maximum defective rate and a maximum defect frequency. If the part defective rate is less than the maximum defective rate and the part defect frequency is less than the maximum defect frequency, the part qualification index is the first part index;

[0068] If the part defective rate is less than the maximum defective rate and the part defect frequency is greater than or equal to the maximum defect frequency, the part qualification index is the second part index;

[0069] If the part defective rate is greater than or equal to the maximum defective rate and the part defect frequency is less than the maximum defect frequency, the part qualification index is the second part index;

[0070] If the part defective rate is greater than or equal to the maximum defective rate and the part defect frequency is greater than or equal to the maximum defect frequency, the part qualification index is the third part index;

[0071] Wherein, the first part index is greater than the second part index, and the second part index is greater than the third part index.

[0072] It can be understood that by setting the dual criteria of the maximum defective rate and the maximum defect frequency, the system of the present invention can more comprehensively evaluate the part quality status and avoid misjudgment that may be caused by a single index. When both the defective rate and the defect frequency are lower than the threshold (the first part index), it indicates that the production quality is stable; if any index exceeds the standard, it is downgraded to the second part index, and if both indexes exceed the standard, it is determined as the third part index. This grading logic meets the requirements of risk level division in actual production. Secondly, the quantification method of using three-level indexes (the first part index > the second part index > the third part index) makes the quality evaluation result more intuitive, facilitating subsequent correction judgment and maintenance decision-making. More importantly, this determination mechanism can quickly identify abnormal production states: if the defective rate is low but the defect frequency is high (the second index), it may imply intermittent faults in the equipment; if the defective rate is high but the frequency is low (the second index), it may reflect problems with specific batches of materials; if both indexes are high (the third index), it strongly warns of systematic risks. Compared with the traditional single pass rate statistics, the sensitivity and operability of quality monitoring are significantly improved through dynamic grading, providing accurate data support for subsequent life correction and feedback control.

[0073] In some embodiments of the present application, when the part monitoring module is configured to determine whether to correct the part qualification index based on the average life of the part, it includes:

[0074] Obtain the number of parts with a lifespan lower than the average lifespan of the parts, denoted as the first part number, and determine whether to correct the part qualification index according to the ratio of the first part number to the total number of parts;

[0075] Set a ratio threshold. If the ratio is less than or equal to the ratio threshold, it is determined that there is no need to correct the part qualification index; if the ratio is greater than the ratio threshold, it is determined that the part qualification index needs to be corrected.

[0076] In some embodiments of the present application, when the part monitoring module is configured to correct the part qualification index according to the average lifespan of the parts to obtain the final value of the part qualification index, it includes:

[0077] Set a lifespan range. If the average lifespan is greater than the maximum value of the lifespan range, correct the part qualification index by a first correction factor;

[0078] If the average lifespan is within the lifespan range, correct the part qualification index by a second correction factor;

[0079] If the average lifespan is less than the minimum value of the lifespan range, correct the part qualification index by a third correction factor;

[0080] Among them, the value range of the correction factor is: 1 > the first correction factor > the second correction factor > the third correction factor > 0, and the final value of the part qualification index is the product value of the part qualification index and the correction factor.

[0081] It is understandable that the accuracy and reliability of quality assessment are significantly improved through multi-dimensional intelligent analysis. The system first uses the "proportion of short-life parts" as the correction trigger condition. When the number of parts with a lifespan lower than the average lifespan exceeds the set threshold, the correction is initiated, effectively avoiding the interference of accidental lifespan fluctuations on the assessment results and ensuring that the correction decision has statistical significance. In the correction execution stage, the system introduces a lifespan range grading strategy: when the average lifespan exceeds the upper limit, a higher correction coefficient is adopted, indicating that the lifespan performance is excellent and part of the original qualified index can be retained; when the lifespan is within the normal range, a medium correction coefficient is adopted for moderate adjustment; when the lifespan is lower than the lower limit, a large correction coefficient is adopted to promptly reflect the quality deterioration trend. This stepped correction scheme (1 > the first correction coefficient > the second correction coefficient > the third correction coefficient > 0) not only retains the reference value of the original qualified index but also makes the final value closer to the actual quality status through the dynamic calibration of lifespan data. In particular, the calculation method of multiplying the correction coefficient by the qualified index not only realizes the smooth adjustment of quality indicators but also maintains the consistency of the assessment system. Through double verification (proportion trigger + range grading) and progressive correction, the present invention effectively solves the problem of the disconnection between lifespan data and real-time qualified indicators in traditional quality assessment, providing a more scientific decision-making basis for predictive maintenance.

[0082] In some embodiments of the present application, when the device monitoring module is configured to obtain a device health index based on the number of device failures and the device working duration, it includes:

[0083] Set a maximum number of failures and a maximum working duration. If the number of device failures of the device is less than the maximum number of failures and the device working duration is less than the maximum working duration, the device qualified index is the first device index;

[0084] If the number of device failures of the device is less than the maximum number of failures and the device working duration is greater than or equal to the maximum working duration, the device qualified index is the second device index;

[0085] If the number of device failures of the device is greater than or equal to the maximum number of failures and the device working duration is less than the maximum working duration, the device qualified index is the second device index;

[0086] If the number of device failures of the device is greater than or equal to the maximum number of failures and the device working duration is greater than or equal to the maximum working duration, the device qualified index is the third device index;

[0087] Wherein, the first device index is greater than the second device index, and the second device index is greater than the third device index.

[0088] It is understandable that the system constructs a three - level equipment health index system (the first equipment index > the second equipment index > the third equipment index) by setting double criteria of the maximum number of faults and the maximum working duration, achieving a precise hierarchical assessment of the equipment status. First, the dual - parameter cross - verification mechanism significantly improves the assessment reliability. When the equipment simultaneously meets the conditions of low faults and reasonable working duration (the first equipment index), it indicates the best status; if any parameter exceeds the standard, it is downgraded to the second equipment index, which can timely warn of potential risks; when both parameters exceed the standard (the third equipment index), it clearly indicates that the equipment is severely deteriorated. Second, the present invention particularly considers the influence of equipment usage intensity. When the working duration exceeds the threshold, even if the number of faults does not exceed the standard, it will be downgraded, effectively avoiding the evaluation distortion caused by over - use. Compared with the traditional single - fault alarm system, this solution, by introducing the working - duration parameter and the three - level evaluation mechanism, not only avoids the waste of resources caused by "over - maintenance" but also prevents the sudden faults caused by "insufficient maintenance", achieving the precision of equipment health management.

[0089] In some embodiments of the present application, when the equipment monitoring module is configured to adjust the equipment health index according to the mean time between failures to obtain the final value of the equipment health index, it includes:

[0090] Set a first interval and a second interval, where the first interval is greater than the second interval;

[0091] If the mean time between failures is greater than the first interval, the equipment health index is not adjusted;

[0092] If the mean time between failures is less than or equal to the first interval and greater than or equal to the second interval, the equipment health index is adjusted by a first adjustment coefficient;

[0093] If the mean time between failures is less than the second interval, the equipment health index is adjusted by a second adjustment coefficient;

[0094] Among them, the value range of the adjustment coefficient is 1 > the first adjustment coefficient > the second adjustment coefficient > 0, and the final value of the equipment health index is the product value of the equipment health index and the adjustment coefficient.

[0095] It is understandable that the device monitoring module realizes the dynamic optimization of the device health index through the hierarchical adjustment mechanism of the mean time between failures. The system sets double thresholds of a first interval and a second interval (the first interval > the second interval), and constructs a three-level adjustment strategy: when the failure interval exceeds the first interval, no adjustment is made and the original health index is retained; when the interval is in the middle range, it is moderately decreased using a first adjustment coefficient; when the interval is lower than the second interval, it is greatly corrected using a second adjustment coefficient. This progressive adjustment scheme (1 > the first adjustment coefficient > the second adjustment coefficient > 0) not only takes into account the characteristics of the device reliability fluctuating over time, but also maintains the continuity of the evaluation system through the product of the coefficients, and can identify the hidden deterioration trend of the device. Even if the current number of failures does not exceed the standard, the shortening of the failure interval often indicates that the device is about to enter a high-failure period. By dynamically associating the interval duration data with the health index, the system can discover potential risks earlier than traditional methods and gain a valuable time window for preventive maintenance. At the same time, the hierarchical adjustment strategy avoids drastic fluctuations in the evaluation results, ensures that the maintenance decision is both timely and robust, and effectively balances the device safety and maintenance economy.

[0096] In some embodiments of the present application, when the feedback module is configured to determine whether to shorten the device maintenance cycle according to the final value of the part qualification index and the final value of the device health index, it includes:

[0097] Set a minimum value of the part qualification index and a minimum value of the device health index;

[0098] If the final value of the part qualification index is greater than or equal to the minimum value of the part qualification index, and the final value of the device health index is greater than or equal to the final value of the device health index, it is determined not to shorten the device maintenance cycle;

[0099] Otherwise, it is determined to shorten the device maintenance cycle.

[0100] In some embodiments of the present application, when the feedback module is configured to calculate a comprehensive evaluation value according to the final value of the part qualification index and the final value of the device health index, it includes:

[0101] The comprehensive evaluation value is the sum value of the weighted sum of the final value of the part qualification index and the final value of the device health index.

[0102] In some embodiments of the present application, when the feedback module is configured to shorten the device maintenance cycle according to the comprehensive evaluation value, it includes:

[0103] Set a first evaluation value and a second evaluation value, where the first evaluation value is less than the second evaluation value;

[0104] If the comprehensive evaluation value is less than or equal to the first evaluation value, the device maintenance cycle is shortened by a first shortening coefficient;

[0105] If the comprehensive evaluation value is greater than the first evaluation value and less than or equal to the second evaluation value, the equipment maintenance cycle is shortened by the second shortening coefficient;

[0106] If the comprehensive evaluation value is greater than the second evaluation value, the equipment maintenance cycle is shortened by the third shortening coefficient;

[0107] Among them, the value range of the shortening coefficient is 1 > the third shortening coefficient > the second shortening coefficient > the first shortening coefficient > 0, and the shortened equipment maintenance cycle is the product value of the equipment maintenance cycle before shortening and the shortening coefficient.

[0108] It can be understood that the system first sets the double-threshold standard of the part qualification index and the equipment health index. When any index is lower than the minimum value, the maintenance cycle is shortened to ensure timely response to quality or equipment deterioration signals; in specific adjustments, the comprehensive evaluation value is calculated by the weighted summation method, which not only retains the independent influence of the double indicators, but also reflects the focus of different production scenarios through weight configuration; finally, the gradient adjustment of the maintenance cycle is realized through the three-level evaluation value interval (the first evaluation value < the second evaluation value) and the corresponding shortening coefficient (1 > the third shortening coefficient > the second shortening coefficient > the first shortening coefficient > 0). This progressive shortening strategy can not only avoid production risks caused by insufficient maintenance, but also prevent waste of resources caused by over-maintenance. In particular, the calculation method of multiplying the shortening coefficient by the original cycle not only maintains the continuity of the maintenance plan, but also realizes the accurate adjustment range through the coefficient difference, which can reduce the maintenance cost compared with the traditional fixed-cycle maintenance mode, and at the same time reduce the equipment failure rate. Through the closed-loop logic of "double-threshold trigger - weighted comprehensive evaluation - gradient adjustment", the present invention realizes the intelligent conversion from quality / equipment data to maintenance decision-making.

[0109] On the other hand, referring to Figure 2 As shown, the present application also provides a method for monitoring and feedback of part production equipment quality, which is applied to the above-mentioned part production equipment quality monitoring and feedback system, and includes the following steps:

[0110] S100. Collect part parameters and equipment parameters; among them, the part parameters include part defective rate, part defect frequency, and part life; the equipment parameters include the number of equipment failures, equipment failure interval duration, and equipment working duration;

[0111] S200. Initially obtain the part qualification index according to the part defective rate and part defect frequency, calculate the average part life according to the part life, judge whether to correct the part qualification index according to the average part life, and if it is judged that correction is required, correct the part qualification index according to the average part life to obtain the final value of the part qualification index;

[0112] S300. Obtain the equipment health index based on the number of equipment failures and the equipment working duration, calculate the mean time between failures according to the equipment failure interval duration, and adjust the equipment health index based on the mean time between failures to obtain the final value of the equipment health index;

[0113] S400. Determine whether to shorten the equipment maintenance cycle based on the final value of the part qualification index and the final value of the equipment health index. If it is determined that the equipment maintenance cycle needs to be shortened, calculate the comprehensive evaluation value based on the final value of the part qualification index and the final value of the equipment health index, and shorten the equipment maintenance cycle according to the comprehensive evaluation value.

[0114] It can be understood that the quality monitoring and feedback method for the part production equipment provided by the present invention realizes the collaborative optimization of production quality and equipment health status through a data-driven closed-loop management mechanism. This method constructs a four-stage processing flow of "data collection - quality assessment - health analysis - intelligent decision-making": First, in S100, quality parameters such as the defective rate and lifespan of parts and operation parameters such as the number of equipment failures and working duration are comprehensively collected to establish a multi-dimensional data foundation; Subsequently, in S200, a dynamic correction mechanism is adopted to perform secondary calibration based on the initial assessment of the defective rate and frequency in combination with lifespan data, so that the final value of the part qualification index can more accurately reflect the actual quality status; In the S300 stage, by cross-analyzing the equipment failure characteristics and working intensity and introducing the dynamic adjustment of the failure interval duration, it is ensured that the equipment health assessment not only focuses on the current state but also predicts future trends; Finally, in S400, based on the intelligent decision-making of dual-index fusion, the precise control of the maintenance cycle is achieved through the weighted comprehensive evaluation value and the three-level shortening coefficient. Compared with the traditional method, the present invention realizes the closed-loop feedback from quality fluctuations to equipment maintenance, and identifies potential risks in advance; through the dynamic correction and gradient adjustment mechanism, the error of the evaluation result is reduced; The intelligent shortening strategy of the maintenance cycle can reduce unnecessary downtime and improve the comprehensive efficiency of the equipment while ensuring production quality.

[0115] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0116] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems) and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of flows and / or blocks in the flowchart and / or block diagram can also be implemented. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in one or more flows Figure 1 one or more flows and / or blocks Figure 1 or in one or more blocks.

[0117] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in one or more flows Figure 1 one or more flows and / or blocks Figure 1 or in one or more blocks.

[0118] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more flows Figure 1 one or more flows and / or blocks Figure 1 or in one or more blocks.

[0119] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: the specific implementation manners of the present invention can still be modified or equivalently replaced, and any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the protection scope of the claims of the present invention.

Claims

1. A parts production equipment quality monitoring feedback system, characterized in that: include: Collection module, including parts collection unit and equipment collection unit; The part collection unit is used to collect part parameters, and the equipment collection unit is used to collect equipment parameters; wherein the part parameters include the defective part rate, the defective part frequency and the part life; the equipment parameters include the number of equipment failures, the equipment failure interval duration and the equipment working time; A parts monitoring module is configured to preliminarily obtain a parts qualified index according to the parts defective rate and the parts defective frequency, calculate the parts average life according to the parts life, determine whether to correct the parts qualified index according to the parts average life, and if it is determined that correction is needed, correct the parts qualified index according to the parts average life to obtain a final value of the parts qualified index; The equipment monitoring module is configured to obtain an equipment health index according to the number of equipment failures and the equipment working time, calculate an average failure interval duration according to the equipment failure interval duration, and adjust the equipment health index according to the average failure interval duration to obtain a final value of the equipment health index; The feedback module is configured to determine whether to shorten the equipment maintenance cycle based on the final value of the parts qualification index and the final value of the equipment health index. If it is determined that the equipment maintenance cycle needs to be shortened, a comprehensive evaluation value is calculated based on the final value of the parts qualification index and the final value of the equipment health index, and the equipment maintenance cycle is shortened based on the comprehensive evaluation value.

2. The parts production equipment quality monitoring feedback system according to claim 1 is characterized in that: When the part monitoring module is configured to preliminarily obtain a part qualification index according to the part defective rate and the part defective frequency, it includes: The maximum defective rate and the maximum defective frequency are set. If the defective rate of the part is less than the maximum defective rate, and the defective frequency of the part is less than the maximum defective frequency, the part qualified index is the first part index; If the defective rate of the part is less than the maximum defective rate, and the defective frequency of the part is greater than or equal to the maximum defective frequency, the part qualification index is the second part index; If the defective rate of the part is greater than or equal to the maximum defective rate, and the defective frequency of the part is less than the maximum defective frequency, the part qualification index is the second part index; If the defective rate of the part is greater than or equal to the maximum defective rate, and the defective frequency of the part is greater than or equal to the maximum defective frequency, the part qualification index is the third part index; Among them, the first part index is greater than the second part index, and the second part index is greater than the third part index.

3. The parts production equipment quality monitoring feedback system according to claim 2 is characterized in that: When the part monitoring module is configured to determine whether to modify the part qualification index according to the average life of the part, it includes: Obtaining the number of parts whose life span is lower than the average life span of the parts in the total number of parts, recording it as the first number of parts, and judging whether to correct the part qualification index according to the ratio of the first number of parts to the total number of parts; A ratio threshold is set. If the ratio is less than or equal to the ratio threshold, it is determined that the part qualification index does not need to be corrected; if the ratio is greater than the ratio threshold, it is determined that the part qualification index needs to be corrected.

4. The parts production equipment quality monitoring feedback system according to claim 3 is characterized in that: The part monitoring module is configured to correct the part qualification index according to the average life of the part, and obtain the final value of the part qualification index, including: Setting a life range, if the average life is greater than a maximum value of the life range, correcting the part qualification index by a first correction coefficient; If the average life is within the life range, the part qualification index is corrected by a second correction coefficient; If the average life span is less than the minimum value of the life span range, the part qualification index is corrected by a third correction coefficient; The value range of the correction coefficient is: 1> first correction coefficient> second correction coefficient> third correction coefficient> 0, and the final value of the part qualification index is the product of the part qualification index and the correction coefficient.

5. The parts production equipment quality monitoring feedback system according to claim 4 is characterized in that: When the equipment monitoring module is configured to obtain the equipment health index according to the number of equipment failures and the equipment working time, it includes: The maximum number of failures and the maximum working time are set. If the number of failures of the device is less than the maximum number of failures and the working time of the device is less than the maximum working time, the device qualification index is the first device index; If the number of equipment failures is less than the maximum number of failures, and the equipment working time is greater than or equal to the maximum working time, the equipment qualification index is the second equipment index; If the number of equipment failures is greater than or equal to the maximum number of failures, and the equipment working time is less than the maximum working time, the equipment qualification index is the second equipment index; If the number of equipment failures is greater than or equal to the maximum number of failures, and the equipment working time is greater than or equal to the maximum working time, the equipment qualification index is the third equipment index; The first device index is greater than the second device index, and the second device index is greater than the third device index.

6. The parts production equipment quality monitoring feedback system according to claim 5, characterized in that: The device monitoring module is configured to adjust the device health index according to the mean time between failures to obtain a final value of the device health index, including: Setting a first interval and a second interval, wherein the first interval is larger than the second interval; If the average fault interval duration is greater than the first interval, the device health index is not adjusted; If the mean fault interval duration is less than or equal to the first interval and greater than or equal to the second interval, adjusting the device health index by a first adjustment coefficient; If the mean fault interval duration is less than the second interval, adjusting the device health index by a second adjustment coefficient; The value range of the adjustment coefficient is 1>first adjustment coefficient>second adjustment coefficient>0, and the final value of the equipment health index is the product of the equipment health index and the adjustment coefficient.

7. The parts production equipment quality monitoring feedback system according to claim 6, characterized in that: The feedback module is configured to determine whether to shorten the equipment maintenance cycle according to the final value of the part qualification index and the final value of the equipment health index, including: Set the minimum value of the part qualification index and the minimum value of the equipment health index; If the final value of the part qualification index is greater than or equal to the minimum value of the part qualification index, and the final value of the equipment health index is greater than or equal to the final value of the equipment health index, it is determined that the equipment maintenance period is not shortened; Otherwise, it is determined that the equipment maintenance cycle is shortened.

8. The parts production equipment quality monitoring feedback system according to claim 7, characterized in that: When the feedback module is configured to calculate the comprehensive evaluation value according to the final value of the part qualification index and the final value of the equipment health index, it includes: The comprehensive evaluation value is the weighted sum of the final value of the part qualification index and the final value of the equipment health index.

9. The parts production equipment quality monitoring feedback system according to claim 8, characterized in that: When the feedback module is configured to shorten the equipment maintenance period according to the comprehensive evaluation value, it includes: Setting a first evaluation value and a second evaluation value, wherein the first evaluation value is smaller than the second evaluation value; If the comprehensive evaluation value is less than or equal to the first evaluation value, shortening the equipment maintenance period by a first shortening factor; If the comprehensive evaluation value is greater than the first evaluation value and less than or equal to the second evaluation value, shortening the equipment maintenance period by the second shortening factor; If the comprehensive evaluation value is greater than the second evaluation value, shortening the equipment maintenance period by a third shortening factor; The value range of the shortening coefficient is 1> the third shortening coefficient> the second shortening coefficient> the first shortening coefficient> 0, and the shortened equipment maintenance period is the product of the equipment maintenance period before shortening and the shortening coefficient.

10. A method for monitoring and feedback of the quality of parts production equipment, applied to the system for monitoring and feedback of the quality of parts production equipment as claimed in any one of claims 1 to 9, characterized in that: include: Collecting part parameters and equipment parameters; wherein the part parameters include part defective rate, part defective frequency and part life; the equipment parameters include number of equipment failures, equipment failure interval duration and equipment working time; Preliminarily obtain a part qualification index based on the part defective rate and the part defective frequency, calculate the part average life based on the part life, determine whether to modify the part qualification index based on the part average life, and if it is determined that modification is required, modify the part qualification index based on the part average life to obtain a final value of the part qualification index; Obtaining a device health index according to the number of device failures and the device working time, calculating an average failure interval duration according to the device failure interval duration, and adjusting the device health index according to the average failure interval duration to obtain a final value of the device health index; Whether to shorten the equipment maintenance cycle is determined based on the final value of the parts qualification index and the final value of the equipment health index. If it is determined that the equipment maintenance cycle needs to be shortened, a comprehensive evaluation value is calculated based on the final value of the parts qualification index and the final value of the equipment health index, and the equipment maintenance cycle is shortened based on the comprehensive evaluation value.

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