Zero-leakage bidirectional pressure-resistant anti-vibration butterfly valve production early warning method and system and storage medium

Abstract

This application relates to a production early warning method, system, and storage medium for zero-leakage bidirectional pressure-bearing anti-vibration butterfly valves, and pertains to the technical field of butterfly valves. The method includes: collecting the current processing step of the butterfly valve and the corresponding processing inspection deviation value; finding the design deviation range based on the current processing step within a preset process design deviation relationship; determining whether the processing inspection deviation value meets the requirements of the design deviation range; if not, issuing a warning based on a preset processing non-compliance warning; if yes, collecting the previous processing step and the corresponding previous processing deviation value based on the current processing step; correcting the processing inspection deviation value based on the previous processing step and the corresponding previous processing deviation value to generate the actual processing deviation value; analyzing the actual processing deviation value to determine the processing early warning index; and issuing a warning based on the processing early warning index. This application improves the accuracy of production early warning for zero-leakage bidirectional pressure-bearing anti-vibration butterfly valves.

Description

Technical Field

[0001] This application relates to the technical field of butterfly valves, and in particular to a method, system, and storage medium for early warning of the production of zero-leakage bidirectional pressure-bearing anti-vibration butterfly valves. Background Technology

[0002] As a high-end industrial valve, the zero-leakage bidirectional pressure-bearing and vibration-resistant butterfly valve requires the establishment of a full-process, multi-level, and intelligent early warning system during the production process. This system covers every key link from raw material warehousing to finished product delivery, focusing on monitoring three core indicators: sealing performance, bidirectional pressure-bearing capacity, and vibration-resistant reliability.

[0003] In related technologies, production early warning for zero-leakage bidirectional pressure-bearing anti-vibration butterfly valves is usually based on the detection and comparison of key parameters in critical links. For example, in the valve body processing link, measuring tools are used to detect parameters such as inner diameter tolerance, sealing surface taper, and roughness. If the deviation of the key parameters does not exceed the threshold range, the production of this link is considered qualified. If the deviation of the key parameters exceeds the threshold range, an early warning is immediately issued to remind the operators to modify the production parameters.

[0004] Regarding the aforementioned technologies, the key parameters of critical links in the butterfly valve production process are all tested independently. That is, if the deviation of a key parameter is within the threshold range, the link is considered qualified. However, the deviation of the key parameter in each link has a cumulative effect. Even if all links are qualified, the cumulative deviation of the key parameter in each link will cause the butterfly valve to fail in sealing, bidirectional pressure resistance, and vibration resistance. This leads to inaccurate early warning in the production of zero-leakage bidirectional pressure-bearing vibration-resistant butterfly valves, and there is still room for improvement. Summary of the Invention

[0005] To improve the accuracy of production early warning for zero-leakage bidirectional pressure-bearing anti-vibration butterfly valves, this application provides a method, system, and storage medium for production early warning of zero-leakage bidirectional pressure-bearing anti-vibration butterfly valves.

[0006] Firstly, this application provides a production early warning method for zero-leakage bidirectional pressure-bearing anti-vibration butterfly valves, employing the following technical solution: Early warning methods for the production of zero-leakage bidirectional pressure-bearing anti-vibration butterfly valves include: Collect the current processing step of the butterfly valve and the corresponding processing inspection deviation value; Based on the current processing procedure, find the design deviation range in the preset process design deviation relationship; Determine whether the processing and inspection deviation values ​​meet the requirements of the design deviation range; If it does not meet the requirements, a warning will be issued based on the preset processing failure warning. If the conditions are met, then the previous processing steps and their corresponding deviation values ​​are collected based on the current processing step. The machining inspection deviation value is corrected based on the previous machining process and the corresponding previous machining deviation value to generate the actual machining deviation value; Analyze the actual processing deviation values ​​to determine the processing early warning index; Early warnings are issued based on the processing warning index.

[0007] Optionally, the step of correcting the machining inspection deviation value based on the previous machining process and the corresponding previous machining deviation value to generate the actual machining deviation value includes: Analyze the previous processing steps, the deviation values ​​of the previous processing steps, and the current processing steps to determine the deviation values ​​transferred from the previous processing steps; Calculate the sum of the machining inspection deviation value and the previous machining transfer deviation value to generate the process cumulative deviation value; Analyze the current processing steps and processing inspection deviations to determine the deviation direction correction coefficient; Calculate the product of the deviation direction correction factor and the cumulative deviation value of the process to generate the actual processing deviation value.

[0008] Optionally, the step of analyzing the preceding machining process, the preceding machining deviation value, and the current machining process to determine the preceding machining transfer deviation value includes: The correlation degree of the processing steps is found in the preset process correlation relationship based on the previous processing steps and the current processing steps; Based on the previous processing steps, find the standard value of the previous processing deviation in the process design deviation relationship; Calculate the product of the quotient of the preceding processing deviation value and the standard value of the preceding processing deviation and the correlation degree of the processing operation to generate the preceding processing deviation transmission coefficient; Calculate the product of the preceding processing deviation transfer coefficient and the preceding processing deviation value to generate the preceding processing transfer deviation value.

[0009] Optionally, the step of analyzing the current processing procedure and processing inspection deviation values ​​to determine the deviation direction correction coefficient includes: Based on the current processing step, find the processing steps in the same link from the preset same link process relationships; Collect deviation values ​​for the same processing steps; The processing and inspection deviation values ​​and the same-link deviation values ​​are analyzed to determine the directional consistency coefficient; The correction direction coefficient is determined based on the processing and inspection deviation value; The directional consistency coefficient is corrected based on the correction directional coefficient to generate the deviation directional correction coefficient.

[0010] Optionally, the steps of analyzing the processing inspection deviation value and the same-link deviation value to determine the directional consistency coefficient include: Determine the direction of the processing deviation based on the processing inspection deviation value; Analyze the deviation values ​​and processing deviation directions of the same link to determine the number of identical deviation directions; Determine the number of processes in the same processing link based on the current processing step and the processing steps in the same processing link; Calculate the product of the quotient of the number of identical deviation directions and the number of processes in the same link with the preset directional influence coefficient to generate the directional consistency coefficient.

[0011] Optionally, the steps of analyzing actual processing deviation values ​​to determine the processing early warning index include: The actual processing deviation value is normalized according to the design deviation range to generate a normalized deviation value; Dynamic weighting of data collection processes; The normalized deviation values ​​are weighted and summed according to the dynamic weights of the processes to generate the production cumulative deviation index; Determine whether the cumulative production deviation index meets the preset requirements of the normal deviation index; If the conditions are met, the cumulative production deviation index will be determined as the processing early warning index; If it does not meet the requirements, the cumulative production deviation index will be analyzed to determine the processing early warning index.

[0012] Optionally, the steps for dynamic weighting of the data collection process include: The data acquisition process affects performance; Analyze the impact of each process on performance to generate basic process weights; Data collection process affects parameters; The process influence parameters are substituted into the preset parameter weight model for calculation to generate influence parameter correction coefficients; Calculate the product of the influence parameter correction coefficient and the basic process weight to generate the process dynamic weight.

[0013] Optionally, the steps of analyzing the cumulative production deviation index to determine the processing early warning index include: The cumulative production deviation index is substituted into a preset deviation performance model for calculation to generate deviation impact performance parameters; the deviation impact performance parameters include deviation impact leakage rate, deviation impact pressure bearing capacity, and deviation impact stability acceleration; Determine whether the deviation affects the performance parameters and whether they meet the requirements of the preset standard performance parameters; If the conditions are met, the deviations affecting the performance parameters will be eliminated. If it does not meet the requirements, the cumulative production deviation index and the deviation impact performance parameters are correlated to generate a processing early warning index.

[0014] Secondly, this application provides a zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning system, which adopts the following technical solution: A zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning system includes: The data acquisition module is used to collect the current processing step, processing inspection deviation value, previous processing step, and previous processing deviation value. A memory for storing the program of the zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method as described in any of the above items; The processor and the program in the memory can be loaded and executed by the processor to implement the zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method as described in any of the above.

[0015] Thirdly, this application provides a computer storage medium capable of storing corresponding programs, which facilitates improving the accuracy of early warning systems for zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production. The technical solution adopted is as follows: A computer-readable storage medium storing a computer program capable of being loaded by a processor and executing the zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method described in any of the preceding claims.

[0016] In summary, this application includes at least one of the following beneficial technical effects: 1. By correcting the processing inspection deviation value according to the previous processing procedure and the corresponding previous processing deviation value when the processing inspection deviation value meets the requirements of the design deviation range, the actual processing deviation value is generated. After analyzing the actual processing deviation value, the processing early warning index is obtained. In this way, the influence of deviation in each processing link of the butterfly valve is accumulated and analyzed to ensure the accuracy of the production early warning of the zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve. 2. By analyzing the previous processing steps, the previous processing deviation value, and the current processing step, the previous processing transfer deviation value is obtained. The processing inspection deviation value and the previous processing transfer deviation value are calculated to generate the cumulative deviation value of the process. Then, the deviation direction correction coefficient is obtained by analyzing the current processing step and the processing inspection deviation value. The actual processing deviation value is obtained by multiplying the deviation direction correction coefficient and the cumulative deviation value of the process. The deviation of the previous processing is superimposed on the deviation of the current processing according to the direction of the actual deviation, thereby improving the accuracy of the actual processing deviation value. 3. By using dynamic weights of the processes to weight and sum the normalized deviation values, the cumulative production deviation index is obtained. Then, the cumulative production deviation index is compared with the normal deviation index to determine the processing early warning index. By cumulatively analyzing the deviations of all processing environments, the accuracy of the processing early warning index is improved. Attached Figure Description

[0017] Figure 1 This is a flowchart of the zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method in the embodiments of this application.

[0018] Figure 2This is a flowchart of the steps in this application embodiment to correct the processing detection deviation value based on the preceding processing steps and the corresponding preceding processing deviation value in order to generate the actual processing deviation value.

[0019] Figure 3 This is a flowchart illustrating the steps in this application embodiment to analyze the preceding processing steps, the preceding processing deviation value, and the current processing step to determine the preceding processing transfer deviation value.

[0020] Figure 4 This is a flowchart of the steps in this application embodiment to analyze the current processing procedure and processing inspection deviation value to determine the deviation direction correction coefficient.

[0021] Figure 5 This is a flowchart of the steps in this application embodiment to analyze the processing detection deviation value and the same link deviation value to determine the directional consistency coefficient.

[0022] Figure 6 This is a flowchart illustrating the steps in this application embodiment to analyze actual processing deviation values ​​to determine a processing early warning index.

[0023] Figure 7 This is a flowchart of the steps for collecting dynamic weights in the process according to an embodiment of this application.

[0024] Figure 8 This is a flowchart illustrating the steps in this application embodiment to analyze the cumulative production deviation index to determine the processing early warning index. Detailed Implementation

[0025] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figures 1 to 8 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0026] Reference Figure 1 This application discloses a production early warning method for zero-leakage bidirectional pressure-bearing anti-vibration butterfly valves, including the following steps: Step S100: Collect the current processing procedure and corresponding processing inspection deviation value of the butterfly valve.

[0027] The current processing procedure refers to the processing procedure of the butterfly valve at the current moment, which is obtained by the operator by inputting it into the processing terminal, such as sealing surface processing, butterfly plate processing, valve seat assembly, etc.

[0028] The machining inspection deviation value refers to the difference between the parameters of the butterfly valve parts processed in the current machining process and the standard parameters. It is obtained by the operator using measuring tools to measure directly. For example, in the machining of the sealing surface, the standard flatness is designed to be 0 mm. After the operator uses measuring tools to measure the flatness, it is uploaded to the processing terminal. The processing terminal calculates the difference between the measured value and the design value to obtain the machining inspection deviation value. It should be understood that the machining inspection deviation value has a deviation direction. For example, in the machining of the sealing surface, a convexity is considered a positive value, and a concaveness is considered a negative value.

[0029] By determining the current processing step and the processing inspection deviation value, we can determine the basic deviation value of this processing step on the one hand, and provide data support for determining the cumulative deviation impact of the preceding processing on the current processing step on the other hand.

[0030] Step S101: Find the design deviation range in the preset process design deviation relationship according to the current processing process.

[0031] Among them, the process design deviation relationship refers to the correspondence between different processing processes and the allowable deviation range of the process. The operator organizes all the processing processes and forms a mapping table to correspond the processing process with the maximum allowable deviation of the process. For example, the maximum allowable deviation of the sealing surface processing is 0.03 mm, the maximum allowable deviation of the valve stem coaxiality assembly is 0.04 mm, and the maximum allowable deviation of the valve seat preload is 10 Newtons.

[0032] The design deviation range refers to the maximum allowable processing deviation value of the current processing step. It is obtained by the processing terminal by looking up the current processing step in the mapping table corresponding to the process design deviation relationship. By determining the design deviation range, data support is provided for determining whether the current processing step is qualified.

[0033] Step S102: Determine whether the machining inspection deviation value meets the requirements of the design deviation range.

[0034] The requirement for the design deviation range means that it does not exceed the design deviation range.

[0035] The processing terminal determines whether the value corresponding to the processing inspection deviation does not exceed the design deviation range, and determines whether the current processing procedure is qualified from the perspective of independent processing.

[0036] Step S1021: If it does not meet the requirements, a prompt will be issued according to the preset processing failure warning.

[0037] If the processing terminal determines that the value corresponding to the processing inspection deviation exceeds the design deviation range, it indicates that the current processing step is unqualified from the perspective of independent process processing. There is no need to analyze the cumulative impact of previous processing on the current processing. Therefore, a warning is issued based on the processing unqualified warning.

[0038] A processing defect warning is a warning message that directly indicates that the current processing step has failed to meet the required standards. It can be given in the form of sound, light, or text.

[0039] Step S1022: If the conditions are met, then collect the previous processing steps and the corresponding previous processing deviation values ​​based on the current processing step.

[0040] If the processing terminal determines that the value corresponding to the processing detection deviation does not exceed the design deviation range, it indicates that the current processing step is qualified from the perspective of processing of an independent process. Therefore, it is necessary to analyze the impact of the deviation of the previous processing on the current processing, and collect the previous processing steps and the deviation value of the previous processing based on the current processing step to provide data support for determining the cumulative impact of the previous processing.

[0041] The preceding processing step refers to the process that precedes the current processing step. The processing terminal finds the preceding processing step in the pre-set processing sequence based on the current processing step.

[0042] The preceding processing deviation value refers to the deviation value of the butterfly valve part processed in the preceding processing step. The detection method of the preceding processing deviation value is the same as the detection method of the processing inspection deviation value. After the data is collected, a mapping table is formed with each process. When in use, the processing terminal directly looks up and calls the value in the mapping table according to the preceding processing step.

[0043] Step S103: Correct the machining detection deviation value according to the previous machining process and the corresponding previous machining deviation value to generate the actual machining deviation value.

[0044] The actual processing deviation value refers to the actual cumulative deviation of the current processing step. It is obtained by the processing terminal after correcting the processing detection deviation value based on the previous processing steps and the corresponding previous processing deviation values. For specific methods, please refer to [reference needed]. Figure 2 The steps.

[0045] Step S104: Analyze the actual processing deviation values ​​to determine the processing early warning index.

[0046] Among them, the processing early warning index refers to the parameters for processing early warning, including the production cumulative deviation index, deviation impact leakage rate, deviation impact pressure bearing capacity, and deviation impact stability acceleration. The production cumulative deviation index is the quantitative value of the impact of deviations in all processing stages on performance. The deviation impact leakage rate is the leakage rate after the cumulative deviation impact. The deviation impact pressure bearing capacity is the bidirectional pressure bearing value after the cumulative deviation impact. The deviation impact stability acceleration is the quantitative value of vibration resistance after the cumulative deviation impact. It is obtained by the processing terminal analyzing the actual processing deviation value. The specific method is referred to [reference needed]. Figure 6 The steps.

[0047] Step S105: Issue an early warning based on the processing early warning index.

[0048] After determining the processing warning index, the processing terminal compares the cumulative production deviation index in the processing warning index with the preset index threshold. If the cumulative production deviation index does not exceed the index threshold, it indicates that the cumulative deviation does not affect the sealing, pressure bearing, and vibration resistance performance of the butterfly valve. Therefore, only the cumulative production deviation index is output for warning. However, if the cumulative production deviation index exceeds the index threshold, it indicates that the cumulative deviation will affect the sealing, pressure bearing, and vibration resistance performance of the butterfly valve. Therefore, the cumulative production deviation index, the deviation-affected leakage rate, the deviation-affected pressure bearing, and the deviation-affected stable acceleration are output simultaneously for warning.

[0049] Reference Figure 2 The steps for correcting the machining inspection deviation value based on the previous machining process and the corresponding previous machining deviation value to generate the actual machining deviation value include: Step S200: Analyze the previous processing steps, the previous processing deviation value, and the current processing step to determine the previous processing transfer deviation value.

[0050] Among them, the preceding processing deviation value refers to the value of the deviation of the preceding processing step on the deviation of the current processing step. It is obtained by the processing terminal after analyzing the preceding processing step, the preceding processing deviation value, and the current processing step. The specific method is described in [reference needed]. Figure 3 The steps.

[0051] Step S201: Calculate the sum of the machining inspection deviation value and the previous machining transfer deviation value to generate the process cumulative deviation value.

[0052] Among them, the cumulative deviation value of the process refers to the actual processing deviation value of the current processing process under the cumulative effect, which is obtained by the processing terminal calculating the processing detection deviation value and the previous processing transmission deviation value.

[0053] Step S202: Analyze the current processing procedure and processing inspection deviation value to determine the deviation direction correction coefficient.

[0054] The deviation direction correction coefficient refers to the influence coefficient of the deviation direction of the processing step on the cumulative deviation. Accumulated deviations in the same direction amplify the impact on the butterfly valve, in which case the deviation direction correction coefficient is greater than 1. Accumulated deviations in opposite directions cancel each other out, in which case the deviation direction correction coefficient is less than 1. It is obtained by the processing terminal after analyzing the current processing step and the processing detection deviation value. For specific methods, refer to [reference needed]. Figure 4 The steps.

[0055] Step S203: Calculate the product of the deviation direction correction coefficient and the cumulative deviation value of the process to generate the actual processing deviation value.

[0056] The actual processing deviation value in this step is consistent with the actual processing deviation value in step S103, and is obtained by the product of the deviation direction correction coefficient and the cumulative deviation value of the process calculated by the processing terminal.

[0057] Reference Figure 3 The steps for analyzing the preceding machining process, the preceding machining deviation value, and the current machining process to determine the preceding machining transfer deviation value include: Step S300: Find the degree of correlation between the processing operations based on the previous processing operation and the current processing operation in the preset process correlation relationship.

[0058] Among them, the process correlation degree refers to the correspondence between different processes and the process correlation degree. In the embodiments of this application, the correlation degree between processes is defined as strong correlation, medium correlation and weak correlation. The correlation degree of strong correlation is 1, the correlation degree of medium correlation is 0.5 and the correlation degree of weak correlation is 0.1. The operator forms a mapping table by mapping two processes to the actual correlation degree according to the actual correlation between the processes.

[0059] The correlation degree of a processing operation refers to the correlation between a previous processing operation and the current processing operation. It is obtained by the processing terminal by looking up the previous and current processing operations in the mapping table corresponding to the process correlation relationship. By determining the correlation degree of the processing operation, data support is provided for the subsequent calculation of the deviation transfer value of the processing deviation of the previous processing operation to the current processing operation.

[0060] Step S301: Find the standard value of the previous processing deviation in the process design deviation relationship based on the previous processing process.

[0061] Among them, the standard value of the preceding processing deviation refers to the maximum allowable deviation value of the preceding processing procedure. It is obtained by the processing terminal by looking up the corresponding mapping table of the process design deviation relationship based on the preceding processing procedure. By determining the standard value of the preceding processing deviation, data support is provided for determining the degree of deviation of the preceding processing.

[0062] Step S302: Calculate the product of the quotient of the preceding processing deviation value and the standard value of the preceding processing deviation and the correlation degree of the processing operation to generate the preceding processing deviation transmission coefficient.

[0063] The preceding processing deviation transmission coefficient refers to the proportion of deviation transmitted from the preceding processing to the current process. It is calculated by the processing terminal as the quotient of the preceding processing deviation value and the standard value of the preceding processing deviation, thereby quantifying the degree of deviation in the preceding processing. The larger the preceding processing deviation value, the greater the degree of deviation and the greater the proportion of deviation impact on the current process. The product of the quotient and the correlation degree of the processing process is then calculated to obtain the preceding processing deviation transmission coefficient. The greater the correlation degree, the greater the proportion of deviation impact.

[0064] Step S303: Calculate the product of the previous processing deviation transfer coefficient and the previous processing deviation value to generate the previous processing transfer deviation value.

[0065] In this step, the preceding processing transfer deviation value is consistent with the preceding processing transfer deviation value in step S200. It is obtained by the processing terminal by multiplying the preceding processing deviation transfer coefficient and the preceding processing deviation value. Thus, the preceding processing deviation value is used as the deviation benchmark. The deviation benchmark is corrected by taking into account the correlation between the preceding processing process and the current processing process, as well as the deviation degree of the preceding processing, so as to obtain the preceding processing transfer deviation value.

[0066] Reference Figure 4 The steps for analyzing the current processing steps and processing inspection deviations to determine the deviation direction correction coefficient include: Step S400: Based on the current processing step, find the processing step in the preset same-link process relationship.

[0067] Among them, the process relationship in the same link refers to the correspondence between different processes and processes in the same link. For example, the processing processes in the sealing performance link include sealing surface processing, butterfly plate processing, valve seat assembly, preload testing, etc.; the processing processes in the pressure bearing performance link include valve body casting, reinforcing rib processing, flange assembly, etc.; and the processing processes in the vibration resistance performance link include valve stem processing, bearing assembly, actuator connection, etc. The operators form a mapping table by matching different processes with processes in the same link one by one.

[0068] The processing procedure in the same link refers to the processing procedure that is in the same link as the current processing procedure. It is obtained by the processing terminal by looking up the corresponding mapping table of the processing procedure in the same link according to the current processing procedure.

[0069] Step S401: Collect the deviation value of the same link based on the same link processing procedure.

[0070] Among them, the same link deviation value refers to the deviation value of the same link processing procedure. It is the same as the detection method of the processing detection deviation value. After the data is collected, a mapping table is formed with each procedure. If the same link processing procedure is located after the current processing procedure, the same link processing procedure is removed. When in use, the processing terminal directly looks up and calls the value in the mapping table according to the same link processing procedure.

[0071] Step S402: Analyze the processing and inspection deviation values ​​and the same link deviation values ​​to determine the directional consistency coefficient.

[0072] The directional consistency coefficient refers to the degree of consistency between the deviation direction of the current processing step and the deviation direction of the processing steps in the same link. It is obtained by the processing terminal after analyzing the processing detection deviation value and the deviation value in the same link. The specific method is described in [reference needed]. Figure 5If the direction is highly consistent, the direction consistency coefficient will be large, and the superposition of deviations in the same direction will have a significant impact on the performance of the butterfly valve.

[0073] Step S403: Determine the correction direction coefficient based on the machining inspection deviation value.

[0074] Among them, the correction direction coefficient refers to the correction direction of the deviation value. It is determined by the processing terminal based on the sign of the processing and detection deviation value. If the processing and detection deviation value is positive, the correction direction coefficient is 1, which increases the deviation value in the positive direction. If the processing and detection deviation value is negative, the correction direction coefficient is -1, which decreases the deviation value in the reverse direction. This solves the problem of performance risk amplification due to the superposition of deviations in the same direction in the same process link, and mutual cancellation of deviations in the opposite direction.

[0075] Step S404: Correct the directional consistency coefficient according to the correction directional coefficient to generate the deviation directional correction coefficient.

[0076] In this step, the deviation direction correction coefficient is the same as that in step S202. The processing terminal calculates the product of the correction direction coefficient and the direction consistency coefficient to obtain the correction ratio of the deviation value. Then, the sum of 1 and the correction ratio is calculated to obtain the deviation direction correction coefficient.

[0077] Reference Figure 5 The steps for analyzing processing and inspection deviations and in-line deviations to determine the directional consistency coefficient include: Step S500: Determine the direction of the machining deviation based on the machining inspection deviation value.

[0078] Among them, the direction of machining deviation refers to the direction of the deviation of the current machining process, including positive and negative directions, which is determined by the sign of the machining detection deviation value. If the machining detection deviation value is positive, the direction of machining deviation is positive; if the machining detection deviation value is negative, the direction of machining deviation is negative.

[0079] Step S501: Analyze the deviation values ​​and processing deviation directions of the same link to determine the number of identical deviation directions.

[0080] The number of identical deviation directions refers to the number of processes in the same process link that have the same deviation direction as the current processing process. The processing terminal determines the deviation direction of the process in the same process link based on the sign of the deviation value in the same process link, and then identifies the number of deviation directions of the process in the same process link that are consistent with the processing deviation direction. This number of identical deviation directions provides data support for determining the directional consistency of the processes in the same process link.

[0081] Step S502: Determine the number of processes in the same processing link based on the current processing process and the processing processes in the same processing link.

[0082] The number of processes in the same link refers to the total number of processes within the same link. The number of processing processes in the same link is obtained by the processing terminal identifying the number of processing processes in the same link and adding it to the number corresponding to the current processing process. This provides data support for determining the directional consistency of processes in the same link.

[0083] Step S503: Calculate the product of the quotient of the number of identical deviation directions and the number of processes in the same link with the preset directional influence coefficient to generate the directional consistency coefficient.

[0084] In this step, the directional consistency coefficient is the same as that in step S402. The processing terminal calculates the quotient of the number of processes with the same deviation direction and the number of processes in the same link to obtain the consistency degree of the number of processes with the same direction. Then, the product of the consistency degree and the directional influence coefficient is calculated to obtain the directional consistency coefficient.

[0085] The directional influence coefficient refers to the amplification factor of the degree of directional consistency of different links. For example, the sealed link is 1, the pressure-bearing link is 0.8, and the vibration-resistant link is 0.7.

[0086] Reference Figure 6 The steps for analyzing actual processing deviations to determine the processing early warning index include: Step S600: Normalize the actual processing deviation value according to the design deviation range to generate a normalized deviation value.

[0087] The normalized deviation value refers to the normalized processing deviation value, which ranges from 0 to 1. The processing terminal calculates the absolute value of the difference between the actual processing deviation value and the minimum value of the design deviation range, and then calculates the quotient of the absolute value of the difference and the corresponding range value of the design deviation range to obtain the normalized deviation value. The actual processing deviation value is normalized to eliminate the dimensional differences of the deviations between different processes, which facilitates the subsequent unified analysis of the performance risks caused by the cumulative effects of different processes.

[0088] Step S601: Collect dynamic weights of the process.

[0089] Among them, the process dynamic weight refers to the influence weight of different processes on the butterfly valve performance. The specific method for obtaining it is described in [reference needed]. Figure 7 The steps.

[0090] Step S602: Weight the normalized deviation values ​​according to the dynamic weights of the process to generate the production cumulative deviation index.

[0091] In this step, the production cumulative deviation index is consistent with the production cumulative deviation index disclosed in step S104. It is obtained by the processing terminal by weighting and summing the normalized deviation values ​​according to the dynamic weight of the process, thereby determining the cumulative impact of deviations of different processes on the butterfly valve performance.

[0092] Step S603: Determine whether the cumulative production deviation index meets the requirements of the preset normal deviation index.

[0093] The normal deviation index refers to the maximum deviation index that has a relatively small impact on the performance of the butterfly valve. The specific value is determined by the operator based on the actual situation. The requirement for the normal deviation index is that it should not exceed the normal deviation index.

[0094] By processing the terminal to determine whether the cumulative deviation index of production is not greater than the normal deviation index, it is possible to determine whether the cumulative impact of deviations in different processes has caused a significant degradation in the performance of the butterfly valve.

[0095] Step S6031: If the conditions are met, the cumulative production deviation index is determined as the processing early warning index.

[0096] If the processing terminal determines that the cumulative production deviation index is not greater than the normal deviation index, it indicates that the cumulative impact of deviations in different processes will not cause a significant degradation in the performance of the butterfly valve. Therefore, the cumulative production deviation index can be determined as the processing early warning index.

[0097] Step S6032: If it does not meet the requirements, analyze the cumulative production deviation index to determine the processing early warning index.

[0098] If the processing terminal determines that the cumulative production deviation index is greater than the normal deviation index, it indicates that the cumulative impact of deviations in different processes will cause a significant degradation in the butterfly valve's performance. Therefore, the cumulative production deviation index is analyzed to determine the specific degradation value in the butterfly valve's performance, ultimately yielding the processing early warning index. The specific method is described in [reference needed]. Figure 8 The steps.

[0099] Reference Figure 7 The steps for collecting dynamic weights in the process include: Step S700: The data acquisition process affects performance.

[0100] Among them, the performance impact of process refers to the impact of different process processing deviations on the performance of the butterfly valve. For example, the leakage of the butterfly valve caused by the processing of the sealing link process, the pressure reduction of the butterfly valve caused by the processing of the pressure-bearing link process, and the reduction of the butterfly valve's vibration resistance caused by the processing of the vibration-resistant link process, which are obtained by the operator through actual measurement.

[0101] Step S701: Analyze the impact of the process on performance to generate basic process weights.

[0102] Among them, the basic process weight refers to the basic weight of different processing processes. The basic weight of a process is obtained by calculating the sum of the performance impact of the process at the processing terminal, and then calculating the quotient of the performance impact of the process and the sum.

[0103] Step S702: Collect process-affecting parameters.

[0104] Among them, process influence parameters refer to parameters that affect the weight of processing steps. These include raw material parameters, such as tensile strength and elastic modulus; equipment accuracy parameters, such as equipment maintenance interval days and equipment calibration level, with calibration levels including Level 1, Level 2, and Level 3, where Level 1 has the highest accuracy and Level 3 has the lowest accuracy; and environmental parameters, such as ambient temperature and humidity, which are detected by operators and relevant sensors and uploaded to the processing terminal. By detecting process influence parameters, data support is provided for subsequent analysis of the impact of objective factors on the weight of processes.

[0105] Step S703: Substitute the process influence parameters into the preset parameter weight model for calculation to generate influence parameter correction coefficients.

[0106] Among them, the parameter weighting model refers to the model that calculates the degree of influence of different influencing parameters on the weight. It includes a material model, which obtains the material correction coefficient by dividing the material parameter by the standard parameter; it also includes an equipment model, which obtains the equipment accuracy attenuation coefficient by multiplying the equipment maintenance interval days by the equipment maintenance coefficient, then obtains the equipment calibration attenuation coefficient by multiplying the equipment calibration level by the level coefficient, and finally obtains the equipment correction coefficient by calculating the sum of 1 and the equipment accuracy attenuation coefficient and the difference between the sum and the equipment calibration attenuation coefficient; it also includes an environmental model, which obtains the environmental correction coefficient by calculating the environmental parameters through Euclidean distance.

[0107] The influence parameter correction coefficient refers to the correction coefficient of objective factors on the weight. It is calculated by the processing terminal by substituting the process influence parameters into the parameter weight model.

[0108] Step S704: Calculate the product of the influence parameter correction coefficient and the basic process weight to generate the process dynamic weight.

[0109] In this step, the dynamic weight of the process is the same as that in step S601, and is obtained by multiplying the influence parameter correction coefficient and the basic process weight by the processing terminal.

[0110] Reference Figure 8 The steps for analyzing the cumulative production deviation index to determine the processing early warning index include: Step S800: Substitute the production cumulative deviation index into the preset deviation performance model for calculation to generate deviation impact performance parameters.

[0111] The deviation performance model refers to a model used to calculate the impact of deviations on butterfly valve performance. This includes a sealing model, which first calculates the product of the production cumulative deviation index and the leakage rate influence coefficient. The production cumulative deviation index reflects the degree of change in the leakage rate, while the leakage rate influence coefficient reflects the rate of change in the leakage rate; a larger leakage rate influence coefficient indicates a faster change in the leakage rate. The exponent of the product is then calculated to obtain the leakage influence coefficient. Finally, the product of the leakage influence coefficient and the standard leakage rate is calculated to obtain the deviation-affected leakage rate. The model also includes a pressure-bearing model, which first calculates the product of the pressure attenuation coefficient and the production cumulative deviation index. The production cumulative deviation index reflects the degree of pressure reduction, while the pressure reduction coefficient reflects the rate of pressure reduction. The difference between 1 and the product is used to obtain the pressure correction coefficient. Finally, the product of the pressure correction coefficient and the standard pressure is calculated to obtain the deviation-affected pressure. It also includes a vibration resistance model. First, the product of the vibration resistance reduction coefficient and the production cumulative deviation index is calculated. The production cumulative deviation index reflects the degree of vibration resistance performance degradation, while the vibration resistance reduction coefficient reflects the rate of vibration resistance degradation. The difference between 1 and the product is used to obtain the vibration resistance reduction coefficient. Finally, the product of the vibration resistance reduction coefficient and the standard vibration resistance acceleration is calculated to obtain the deviation-affected stable acceleration.

[0112] The deviation-affected performance parameters in this step include deviation-affected leakage rate, deviation-affected pressure bearing capacity, and deviation-affected stable acceleration, which are consistent with the deviation-affected leakage rate, deviation-affected pressure bearing capacity, and deviation-affected stable acceleration in step S104. These parameters are obtained by the processing terminal after substituting the production cumulative deviation index into the deviation performance model for calculation.

[0113] Step S801: Determine whether the performance parameters affected by the deviation meet the requirements of the preset standard performance parameters.

[0114] The standard performance parameters refer to the standard performance data of the butterfly valve, including standard leakage rate, standard pressure bearing capacity, and standard vibration resistance acceleration. The specific values ​​are determined by the operator based on the actual situation. The requirement for standard performance parameters is that they do not exceed the error range of the standard performance parameters.

[0115] By processing the terminal to determine whether the parameters corresponding to the deviation affecting the performance parameters do not exceed the error range of the standard performance parameters, it is possible to determine whether the cumulative deviation of the processing steps affects the performance of the butterfly valve.

[0116] Step S8011: If the condition is met, the performance parameters affected by the deviation will be removed.

[0117] If the processing terminal determines that the parameter corresponding to the deviation affecting the performance parameter does not exceed the error range of the standard performance parameter, it indicates that the cumulative deviation of the processing procedure has little impact on the performance of the butterfly valve, and therefore the deviation affecting the performance parameter is eliminated.

[0118] Step S8012: If not met, then correlate the production cumulative deviation index and the deviation impact performance parameter to generate a processing early warning index.

[0119] If the processing terminal determines that the parameter corresponding to the deviation-affected performance parameter exceeds the error range of the standard performance parameter, it indicates that the cumulative deviation of the processing procedure has a significant impact on the performance of the butterfly valve. Therefore, the cumulative production deviation index and the deviation-affected performance parameter are correlated to generate a processing early warning index.

[0120] Based on the same inventive concept, embodiments of this application provide a zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning system, including: The data acquisition module is used to collect data on the current processing step, processing inspection deviation value, previous processing step, previous processing deviation value, same-link deviation value, process dynamic weight, process impact performance, and process impact parameters. A memory for storing the program for a production early warning method for zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve; The processor and memory programs can be loaded and executed by the processor to achieve a zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method.

[0121] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0122] This application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as a zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method.

[0123] Computer storage media include, for example, USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media that can store program code.

[0124] Based on the same inventive concept, this application provides a smart terminal, including a memory and a processor. The memory stores a computer program that can be loaded and executed by the processor to provide an early warning method for the production of a zero-leakage bidirectional pressure-bearing and vibration-resistant butterfly valve.

[0125] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0126] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features.

Claims

1. A production early warning method for zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve, characterized in that, include: Collect the current processing step of the butterfly valve and the corresponding processing inspection deviation value; Based on the current processing procedure, find the design deviation range in the preset process design deviation relationship; Determine whether the processing and inspection deviation values ​​meet the requirements of the design deviation range; If it does not meet the requirements, a warning will be issued based on the preset processing failure warning. If the conditions are met, then the previous processing steps and their corresponding deviation values ​​are collected based on the current processing step. The machining inspection deviation value is corrected based on the previous machining process and the corresponding previous machining deviation value to generate the actual machining deviation value; Analyze the actual processing deviation values ​​to determine the processing early warning index; Early warnings are issued based on the processing warning index.

2. The zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method according to claim 1, characterized in that, The steps for correcting the machining inspection deviation value based on the previous machining process and the corresponding previous machining deviation value to generate the actual machining deviation value include: Analyze the previous processing steps, the deviation values ​​of the previous processing steps, and the current processing steps to determine the deviation values ​​transferred from the previous processing steps; Calculate the sum of the machining inspection deviation value and the previous machining transfer deviation value to generate the process cumulative deviation value; Analyze the current processing steps and processing inspection deviations to determine the deviation direction correction coefficient; Calculate the product of the deviation direction correction factor and the cumulative deviation value of the process to generate the actual processing deviation value.

3. The zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method according to claim 2, characterized in that, The steps for analyzing the preceding machining process, the preceding machining deviation value, and the current machining process to determine the preceding machining transfer deviation value include: The correlation degree of the processing steps is found in the preset process correlation relationship based on the previous processing steps and the current processing steps; Based on the previous processing steps, find the standard value of the previous processing deviation in the process design deviation relationship; Calculate the product of the quotient of the preceding processing deviation value and the standard value of the preceding processing deviation and the correlation degree of the processing operation to generate the preceding processing deviation transmission coefficient; Calculate the product of the preceding processing deviation transfer coefficient and the preceding processing deviation value to generate the preceding processing transfer deviation value.

4. The zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method according to claim 2, characterized in that, The steps for analyzing the current processing steps and processing inspection deviations to determine the deviation direction correction coefficient include: Based on the current processing step, find the processing steps in the same link from the preset same link process relationships; Collect deviation values ​​for the same processing steps; The processing and inspection deviation values ​​and the same-link deviation values ​​are analyzed to determine the directional consistency coefficient; The correction direction coefficient is determined based on the processing and inspection deviation value; The directional consistency coefficient is corrected based on the correction directional coefficient to generate the deviation directional correction coefficient.

5. The zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method according to claim 4, characterized in that, The steps for analyzing processing and inspection deviations and in-line deviations to determine the directional consistency coefficient include: Determine the direction of the processing deviation based on the processing inspection deviation value; Analyze the deviation values ​​and processing deviation directions of the same link to determine the number of identical deviation directions; Determine the number of processes in the same processing link based on the current processing step and the processing steps in the same processing link; Calculate the product of the quotient of the number of identical deviation directions and the number of processes in the same link with the preset directional influence coefficient to generate the directional consistency coefficient.

6. The zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method according to claim 1, characterized in that, The steps for analyzing actual processing deviations to determine the processing early warning index include: The actual processing deviation value is normalized according to the design deviation range to generate a normalized deviation value; Dynamic weighting of data collection processes; The normalized deviation values ​​are weighted and summed according to the dynamic weights of the processes to generate the production cumulative deviation index; Determine whether the cumulative production deviation index meets the preset requirements of the normal deviation index; If the conditions are met, the cumulative production deviation index will be determined as the processing early warning index; If it does not meet the requirements, the cumulative production deviation index will be analyzed to determine the processing early warning index.

7. The zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method according to claim 6, characterized in that, The steps for dynamic weighting of the data acquisition process include: The data acquisition process affects performance; Analyze the impact of each process on performance to generate basic process weights; Data collection process affects parameters; The process influence parameters are substituted into the preset parameter weight model for calculation to generate influence parameter correction coefficients; Calculate the product of the influence parameter correction coefficient and the basic process weight to generate the process dynamic weight.

8. The zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method according to claim 6, characterized in that, The steps for analyzing the cumulative production deviation index to determine the processing early warning index include: The cumulative production deviation index is substituted into a preset deviation performance model for calculation to generate deviation impact performance parameters; the deviation impact performance parameters include deviation impact leakage rate, deviation impact pressure bearing capacity, and deviation impact stability acceleration; Determine whether the deviation affects the performance parameters and whether they meet the requirements of the preset standard performance parameters; If the conditions are met, the deviations affecting the performance parameters will be eliminated. If it does not meet the requirements, the cumulative production deviation index and the deviation impact performance parameters are correlated to generate a processing early warning index.

9. A zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning system, characterized in that, include: The data acquisition module is used to collect the current processing step, processing inspection deviation value, previous processing step, and previous processing deviation value. A memory for storing the program of the zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method as described in any one of claims 1 to 8; The processor and the program in the memory can be loaded and executed by the processor to implement the zero-leakage bidirectional pressure-bearing anti-vibration butterfly valve production early warning method as described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The computer program is stored and can be loaded by a processor and executed as described in any one of claims 1 to 8.

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