Production optimization method and equipment for air bag pump and medium

Abstract

The invention discloses a production optimization method and equipment of an air bag pump and a medium, and belongs to the technical field of data processing methods specially suitable for the management purpose. The method comprises the steps that an air bag pump production line corresponding to production demand information is determined, and an air bag pump is pre-produced; determining a component reference indicator for each production component based on the set of production parameters; determining to-be-optimized defects and corresponding defect types in the airbag pump body image, calculating corresponding defect values, and determining to-be-optimized production parts corresponding to the defect types; analyzing the real-time operation parameters and the corresponding historical operation parameters of the to-be-optimized production parts based on the performance indexes of the to-be-optimized production parts so as to determine specified production parts forming to-be-optimized defects in combination with the corresponding part reference indexes; and generating a production optimization strategy corresponding to the airbag pump based on the equipment parameter information corresponding to the specified production part and the transfer equipment so as to realize production optimization of the airbag pump.

Description

Technical Field

[0001] The present application relates to the technical field of data processing methods specifically applicable to management purposes, and particularly to a production optimization method, device, and medium for a bladder pump. Background Art

[0002] Currently, in today's highly integrated semiconductor manufacturing industry, the wet process, as a crucial link, poses extremely stringent requirements on the accuracy, efficiency, and reliability of equipment. Especially during the transmission of chemical liquid medicines, any minor deviation may lead to the failure of an entire production batch, thereby affecting the performance and yield of products. The bladder pump, as one of the core devices in the semiconductor wet process, has demonstrated significant advantages in transporting high-purity and shear-sensitive special liquids due to its contactless, low-pollution, and easy-to-control characteristics.

[0003] However, in the production of bladder pumps in the semiconductor wet process, traditional methods have the following defects: there is a lack of dynamic correlation analysis of cross-process parameters such as the molding stage (temperature fluctuation), sintering process (pressure deviation), and machining accuracy (dimensional tolerance), resulting in insufficient defect traceability accuracy and a relatively high proportion of production line downtime for debugging; the lack of closed-loop control for defects makes it difficult for manual inspection to identify smaller microcracks and uneven bellows wall thickness, with a relatively high error rate in mapping defect types to production components, uneven finished product quality, increased rework costs for defective products, and high maintenance costs. Summary of the Invention

[0004] Embodiments of the present application provide a production optimization method, device, and medium for a bladder pump to solve the above technical problems.

[0005] On the one hand, embodiments of the present application provide a production optimization method for a bladder pump, including:

[0006] Obtain the production requirement information of the bladder pump, determine the corresponding bladder pump production line according to the production requirement information, and pre-produce the bladder pump through multiple production components in the bladder pump production line; the production components at least include a molding component, a sintering component, and a machining component;

[0007] Obtain the production parameter set corresponding to each production component of the pre-produced bladder pump, and based on the production parameter set, determine the component reference index corresponding to each production component; the component reference index includes the defect types caused by the production component and the maximum allowable defect degree for each defect type;

[0008] Obtain the pump body image of the bladder pump, determine the defects to be optimized in the pump body image and the defect types corresponding to the defects to be optimized, calculate the defect values corresponding to the defects to be optimized, and determine at least one production component to be optimized in the bladder pump production line corresponding to the defect type;

[0009] Determine the performance indicators corresponding to the production components to be optimized, and based on the performance indicators, analyze the real-time operating parameters and corresponding historical operating parameters of the production components to be optimized, so as to combine with the component reference indicators corresponding to the production components to be optimized, and determine the specified production components that form the defects to be optimized in the production components to be optimized;

[0010] Determine the transfer equipment corresponding to the specified production components in the air bladder pump production line and the equipment parameter information corresponding to the specified production components and the transfer equipment, and generate the production optimization strategy corresponding to the air bladder pump based on the equipment parameter information corresponding to the specified production components and the transfer equipment, so as to realize the production optimization of the air bladder pump.

[0011] In an implementation manner of the present application, obtain the production demand information of the air bladder pump, determine the corresponding air bladder pump production line according to the production demand information, and pre-produce the air bladder pump through multiple production components in the air bladder pump production line, specifically including:

[0012] Obtain the production demand information of the air bladder pump through multiple data sources; the multiple data sources include market trend analysis reports and customer feedback information, and the production demand information includes the performance indicators, usage environment, and product information of the air bladder pump;

[0013] Determine the air bladder pump model, production quantity, and production cycle in the product information, so as to determine the air bladder pump production line that matches the production demand information from the preset production line database;

[0014] Determine multiple production components in the air bladder pump production line, and obtain the production component configuration information corresponding to the air bladder pump production line; the production component configuration information includes the component model of the molding component, the component specifications of the sintering component, and the precision level of the machining component.

[0015] In an implementation manner of the present application, after determining multiple production components in the air bladder pump production line and obtaining the production component configuration information corresponding to the air bladder pump production line, the method further includes:

[0016] Put the raw materials into the molding component through the transfer equipment in the air bladder pump production line to die-cast the raw materials into shape, and transfer the die-cast blank to the sintering component through the transfer equipment to sinter the blank through the sintering component;

[0017] Cool the sintered blank, and transfer the sintered and cooled blank to the machining component to process the sintered and cooled blank into parts of the air bladder pump to obtain a pre-produced air bladder pump.

[0018] In an implementation manner of the present application, a set of production parameters corresponding to each production component of a pre-produced air bag pump is obtained, and based on the set of production parameters, a component reference index corresponding to each production component is determined. Specifically, it includes:

[0019] Through monitoring devices preset at each production component in the air bag pump production line, production parameters corresponding to each production component during the production process of the air bag pump are obtained, and multiple production parameters are integrated to form a set of production parameters corresponding to the air bag pump production line; the production parameters at least include: temperature, pressure, time, speed, and material consumption;

[0020] For the molding component, historical molding data of the molding component is obtained to determine the defect type corresponding to the molding component, and combined with the component model of the molding component and the production parameters corresponding to the molding component, the maximum allowable defect degree of the defect type of the molding component is determined;

[0021] For the sintering component, historical sintering data of the sintering component is obtained to determine the defect type caused by the sintering component according to the historical sintering data, and combined with the component specifications of the sintering component and the production parameters corresponding to the sintering component, the maximum allowable defect degree of the defect type of the sintering component is determined;

[0022] For the machining component, historical machining data of the machining component is obtained to determine the defect type caused by the machining component, and combined with the precision grade of the machining component and the production parameters corresponding to the machining component, the maximum allowable defect degree of the defect type of the machining component is determined;

[0023] Among them, the defect types include dimensional deviation, surface flaw, and material property degradation.

[0024] In an implementation manner of the present application, an image of the pump body of the air bag pump is obtained, and the defects to be optimized in the pump body image and the corresponding defect types are determined. Specifically, it includes:

[0025] A pump body defect recognition model corresponding to the air bag pump is constructed, and the pump body defect recognition model is iterated according to the production parameters corresponding to each production component in the set of production parameters, the association relationship between the production component and other production components, and the component reference indexes corresponding to other production components with defect risks, so as to obtain a trained pump body defect recognition model;

[0026] By means of monitoring devices preset at each production component in the airbag pump production line, pump body images corresponding to each production component during the airbag pump production process are obtained, and the pump body images are input into a trained pump body defect recognition model to determine at least one defect area in the pump body images;

[0027] Perform aggregation analysis on the defect areas, and determine the defect types corresponding to the defect areas according to the aggregation results.

[0028] In an implementation manner of the present application, calculating the defect values corresponding to the defects to be optimized, and determining at least one production component to be optimized corresponding to the defect type in the airbag pump production line specifically includes:

[0029] Fit the defect areas to obtain corresponding defect fitting contours, and in response to the selection operation of the target measurement points, determine the target measurement points in the defect fitting contours;

[0030] Based on the target measurement points, calculate the defect values corresponding to the defect areas;

[0031] Match the defect types with a preset mapping relationship table between defect types and production components to determine at least one production component to be optimized corresponding to the defect type among multiple production components in the airbag pump production line.

[0032] In an implementation manner of the present application, determining the performance indicators corresponding to the production components to be optimized, and based on the performance indicators, analyzing the real-time operation parameters and corresponding historical operation parameters of the production components to be optimized, so as to combine the component reference indicators corresponding to the production components to be optimized to determine the specified production component that forms the defect to be optimized in the production components to be optimized specifically includes:

[0033] According to the production requirement information, determine the performance indicators corresponding to the production components to be optimized; the performance indicators include efficiency indicators, stability indicators, and durability indicators;

[0034] For each parameter dimension of each production component to be optimized, compare and analyze the real-time operation parameters and historical operation parameters corresponding to the production component to be optimized according to the time series, and according to the analysis results, determine the performance indicator deviation corresponding to the parameter dimension; the performance indicator deviation is used to quantify the degree of performance change of the production component;

[0035] Combine the defect types caused by the production components to be optimized and the maximum defect degree allowed for each defect type to determine the specified production component whose defect value caused by the performance indicator deviation exceeds the maximum defect degree of the corresponding defect type.

[0036] In one implementation of the present application, based on the device parameter information corresponding to the specified production component and the transfer device, a production optimization strategy for the air bladder pump is generated to achieve the production optimization of the air bladder pump, specifically including:

[0037] Determine the device parameter information corresponding to the specified production component and the information acquisition time node corresponding to each device parameter information, and display the device parameter information as a curve according to the time sequence;

[0038] Based on the curve, compare the device parameter information with the component reference index corresponding to the specified production component to obtain the deviation trend of the production parameters of the specified production component based on the time sequence, and issue a warning message corresponding to the specified production component when the device parameter information deviates from the component reference index;

[0039] According to the deviation trend, determine the demand difference corresponding to the specified production component, and optimize the production parameters corresponding to the specified production component according to the demand difference to obtain the target production parameters corresponding to the specified production component.

[0040] On the other hand, an embodiment of the present application also provides a production optimization device for an air bladder pump, and the device includes:

[0041] At least one processor;

[0042] And a memory communicatively connected to the at least one processor;

[0043] Wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a production optimization method for an air bladder pump as described above.

[0044] On the other hand, an embodiment of the present application also provides a non-volatile computer storage medium storing computer-executable instructions, and when the computer-executable instructions are executed, a production optimization method for an air bladder pump as described above is implemented.

[0045] An embodiment of the present application provides a production optimization method, device and medium for an air bladder pump, which at least include the following beneficial effects:

[0046] Determining the corresponding air bladder pump production line based on the production demand information of the air bladder pump can quickly respond to market changes, flexibly adjust the production plan, reduce unnecessary inventory backlogs, and improve production efficiency and resource utilization rate; during the pre-production process, determining the component reference indicators based on the set of production parameters of each production component can more precisely control the production process, reduce defects caused by inappropriate production parameters, help improve the product quality and stability of the air bladder pump, enhance customer satisfaction and market competitiveness; by obtaining the pump body image of the air bladder pump and using image recognition technology to determine the defects to be optimized and their types in the pump body image, it is possible to achieve precise identification and positioning of product defects, which helps to promptly discover problems in the production process; by analyzing the defect values corresponding to the defects to be optimized and determining the production components to be optimized corresponding to the defect types, it is possible to targetedly adjust and optimize the production components and their technological processes, which helps to reduce waste in the production process, improve production efficiency and product quality; by determining the performance indicators corresponding to the production components to be optimized and analyzing the real-time operating parameters and historical operating parameters based on these indicators, it is possible to promptly discover performance deviations of the production components and take corresponding early warning measures, which helps to prevent potential production failures and ensure the stability and safety of the production process; by generating the production optimization strategy corresponding to the air bladder pump, it is possible to achieve continuous optimization and innovation of the production process, which helps to reduce production costs and improve production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The drawings described herein are used to provide a further understanding of the present application and form a part of the present application. The schematic embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation of the present application. In the drawings:

[0048] Figure 1 is a schematic flow chart of a production optimization method for an air bladder pump provided by an embodiment of the present application;

[0049] Figure 2 is a schematic internal structure diagram of a production optimization device for an air bladder pump provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0050] To make the objectives, technical solutions, and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below in conjunction with the specific embodiments of the present application and the corresponding drawings. Apparently, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0051] The following will, with reference to the drawings, elaborate on the technical solutions provided by each embodiment of the present application in detail.

[0052] Figure 1 A schematic flow chart of a method for optimizing the production of a bellows pump provided in an embodiment of the present application.

[0053] The analysis method involved in the embodiments of the present application can be implemented by a terminal device or a server, and the present application does not impose any special restrictions on this. For the convenience of understanding and description, the following embodiments are described in detail by taking a server as an example.

[0054] It should be noted that the server may be a single device or a system consisting of multiple devices, that is, a distributed server, and this application does not make any specific limitation on this.

[0055] like Figure 1 As shown, a method for optimizing the production of a bellows pump provided in an embodiment of the present application includes:

[0056] 101. Obtain production demand information of the bellows pump, determine the corresponding bellows pump production line according to the production demand information, and pre-produce the bellows pump through multiple production components in the bellows pump production line.

[0057] It should be noted that the production parts in the embodiments of the present application at least include molded parts, sintered parts and machined parts. The present application obtains the market trend analysis report of the wind bladder pump through crawler technology, and obtains customer feedback information of the wind bladder pump through feedback channels of dealers and sellers at all levels. The production demand information in the present application is also obtained through multiple data sources such as market trend analysis reports and customer feedback information, and the wind bladder pumps that are more popular and have better sales in the market and the corresponding product specifications of the wind bladder pumps. For example: which flow, pressure and durability of the wind bladder pump users are more inclined to buy, which temperature, humidity and corrosiveness correspond to more usage scenarios of the wind bladder pump users, and which model of wind bladder pump has higher sales. The present application determines the specifications and performance of the wind bladder pumps that need to be produced based on these actual market trends and user feedback information.

[0058] According to the specification information, performance information and parameter information required for each production component of the bellows pump to be produced in the determined production demand information, the present application can query multiple bellows pump production lines in the preset production line database to determine the target bellows pump production line that matches the query information. It should be noted that the target bellows pump production line determined in the embodiment of the present application is determined from multiple bellows pump production lines based on the actual parameters such as the flow rate, pressure, durability, temperature, humidity, corrosiveness and product model of the bellows pump to be produced.

[0059] Specifically, in an embodiment of the present application, production demand information of the air bladder pump is obtained. According to the production demand information, the corresponding air bladder pump production line is determined, and the air bladder pump is pre-produced by multiple production components in the air bladder pump production line, which specifically includes:

[0060] Obtain the production demand information of the air bladder pump through multiple data sources; the multiple data sources include market trend analysis reports and customer feedback information, and the production demand information includes the performance indicators, usage environment, and product information of the air bladder pump;

[0061] Determine the air bladder pump model, production quantity, and production cycle in the product information, so as to determine the air bladder pump production line that matches the production demand information from the preset production line database;

[0062] Determine multiple production components in the air bladder pump production line, and obtain the production component configuration information corresponding to the air bladder pump production line; the production component configuration information includes the component model of the molding component, the component specification of the sintering component, and the accuracy level of the machining component.

[0063] In one embodiment, in order to more effectively meet market demand, improve production efficiency and product quality, an air bladder pump production enterprise adopts a production demand information acquisition and production line matching system based on multiple data sources. First, obtain the production demand information of the air bladder pump from multiple data sources. These data sources mainly include market trend analysis reports and customer feedback information. The market trend analysis report provides the changing trends of the market demand for air bladder pumps, including which models of air bladder pumps are more popular and the expectations of customers for the performance indicators of air bladder pumps. The customer feedback information directly comes from customers who have purchased and used air bladder pumps, and provides information about the product usage environment, performance performance, and improvement suggestions.

[0064] By integrating and analyzing these data sources, detailed production demand information can be obtained, including performance indicators such as the flow rate, pressure, and durability of the air bladder pump, usage environments such as temperature, humidity, and corrosive media, and specific product information such as model, size, and material. Furthermore, based on this information, the air bladder pump model, production quantity, and production cycle in the product information are determined.

[0065] Then, from the preset production line database, the most suitable air bladder pump production line is matched according to the production demand information. This database contains detailed information about multiple production lines, including the production capacity, equipment configuration, and process characteristics of each production line. Through matching, a production line that can meet the current production demand can be found, ensuring the efficiency and stability of production.

[0066] After determining the air bladder pump production line, multiple production components in the production line were further determined, and the configuration information of these production components was obtained. This information includes the component model of the molding component, the component specifications of the sintering component, and the accuracy level of the machining component. For example, for the molding component, a molding press with a specific model and mold was selected to ensure that the air bladder pump housing meeting the design requirements can be produced. For the sintering component, appropriate sintering materials and specifications were selected according to the usage environment and performance requirements of the air bladder pump. For the machining component, high-precision machine tools and cutting tools were focused on being selected to ensure the accuracy and fit of each component of the air bladder pump.

[0067] In an embodiment of the present application, after determining multiple production components in the air bladder pump production line and obtaining the production component configuration information corresponding to the air bladder pump production line, it includes:

[0068] Through the transfer equipment in the air bladder pump production line, raw materials are put into the molding component to die-cast the raw materials into a formed shape, and the formed blank after die-casting is transferred to the sintering component through the transfer equipment to sinter the blank through the sintering component;

[0069] The sintered blank is cooled, and the sintered and cooled blank is transferred to the machining component to process the sintered and cooled blank into parts of the air bladder pump to obtain a pre-produced air bladder pump.

[0070] In an embodiment, an enterprise producing air bladder pumps adopted an automated air bladder pump production line to improve production efficiency and product quality. This production line includes a molding component, a sintering component, and a machining component, as well as transfer equipment responsible for transferring raw materials between the components.

[0071] First, raw materials such as metal powders and plastic particles are placed on the transfer equipment, and the transfer equipment automatically feeds them into the molding component. In the molding component, the raw materials go through the die-casting forming process and are die-cast into blanks with preliminary shapes and dimensions. In this process, the molding component will ensure that the shape and dimensional accuracy of the blanks meet the design requirements according to the preset mold and die-casting parameters.

[0072] After the die-casting forming is completed, the transfer equipment comes into play again, takes out the die-cast blank from the molding component, and transfers it to the sintering component. In the sintering component, the blank will go through high-temperature sintering treatment to make the particles inside it tightly combine to form a more solid and stable structure. During the sintering process, the sintering component will precisely control the temperature and time according to the material of the blank and the sintering process requirements to ensure the best sintering effect.

[0073] After sintering is completed, the blank needs to be cooled to reduce its temperature and make its structure more stable. The cooled blank is then transported by transfer equipment to the machining components again. In the machining components, the sintered and cooled blank will go through a series of precise machining processes, such as cutting, drilling, grinding, etc., to machine it into the components of the air bladder pump. These components include the pump body, pump cover, impeller, etc., which together constitute the core part of the air bladder pump. Finally, the components machined by the machining components are assembled together to form a pre-produced air bladder pump. These air bladder pumps will undergo strict quality inspections and performance tests to ensure that their performance and quality meet the design requirements and market demands.

[0074] 102. Obtain the production parameter set corresponding to each production component of the pre-produced air bladder pump, and based on the production parameter set, determine the component reference index corresponding to each production component; the component reference index includes the type of defect caused by the production component and the maximum allowable defect degree for each type of defect.

[0075] It should be noted that the key production parameters in the embodiments of this application are obtained in real time through the monitoring devices set on the air bladder pump production line.

[0076] Specifically, the real-time temperature obtained by the monitoring device is read in real time through the temperature sensor in the monitoring device, and the pressure data obtained is also read in real time through the pressure sensor in the monitoring device. The time is obtained through the time stamp corresponding to the temperature, pressure and other data obtained by the monitoring device. The speed during the production process is determined based on the start time stamp of the air bladder pump production and the time stamp corresponding to the finally produced air bladder pump to obtain the total production duration, and the number of finally produced air bladder pumps, and the production speed is calculated. For the material consumption in the key production parameters, it is calculated by determining the difference between the total initial material input at the start of the air bladder pump production and the real-time remaining material amount obtained at each time stamp to determine the material consumption corresponding to each time stamp.

[0077] Specifically, in an embodiment of this application, obtaining the production parameter set corresponding to each production component of the pre-produced air bladder pump, and based on the production parameter set, determining the component reference index corresponding to each production component specifically includes:

[0078] Through the monitoring devices preset at each production component in the air bladder pump production line, obtain the production parameters corresponding to each production component during the production process of the air bladder pump, and integrate multiple production parameters to form the production parameter set corresponding to the air bladder pump production line; the production parameters at least include: temperature, pressure, time, speed and material consumption;

[0079] For a molded part, obtain the historical molding data of the molded part to determine the type of defect corresponding to the molded part, and combine the part model of the molded part and the production parameters corresponding to the molded part to determine the maximum allowable degree of defect for the type of defect of the molded part;

[0080] For a sintered part, obtain the historical sintering data of the sintered part to determine the type of defect caused by the sintered part according to the historical sintering data, and combine the part specifications of the sintered part and the production parameters corresponding to the sintered part to determine the maximum allowable degree of defect for the type of defect of the sintered part;

[0081] For a machined part, obtain the historical machining data of the machined part to determine the type of defect caused by the machined part, and combine the accuracy grade of the machined part and the production parameters corresponding to the machined part to determine the maximum allowable degree of defect for the type of defect of the machined part;

[0082] Among them, the types of defects include dimensional deviation, surface flaw, and material property degradation.

[0083] In one embodiment, in order to improve product quality and production efficiency, an airbag pump manufacturing enterprise decides to introduce a comprehensive monitoring system on its airbag pump production line. The system obtains key production parameters during the production process in real time through monitoring devices preset at each production part, and determines the possible types of defects and their maximum allowable degrees of defect for each production part based on these parameters and historical data. First, high-precision monitoring devices are installed at the molded parts, sintered parts, and machined parts on the airbag pump production line respectively. These devices can obtain key production parameters such as temperature, pressure, time, speed, and material consumption during the production process in real time.

[0084] For the molded part, the enterprise obtains the historical molding data of the molded part, including the types of defects and their causes that occurred during past production processes. By analyzing these data, the enterprise determines the possible types of defects that the molded part may cause, such as dimensional deviation, surface flaw, etc. Then, by combining the part model of the molded part and the current production parameters such as temperature and pressure, the enterprise formulates the maximum allowable degree of defect for the type of defect of the molded part, which helps to detect and correct potential defects in a timely manner during the production process and ensure that the quality of the molded part meets the design requirements.

[0085] For the sintered part, the historical sintering data is also obtained, and based on this, the possible types of defects that the sintered part may cause are determined, such as material property degradation, internal cracks, etc. Then, by combining the part specifications of the sintered part and the current production parameters such as sintering temperature and time, the enterprise determines the maximum allowable degree of defect for the type of defect of the sintered part, which helps to precisely control the process parameters during the sintering process and avoid the generation of defects.

[0086] In terms of machined parts, historical machining data was obtained, and the types of defects that may occur during the machining process were analyzed, such as insufficient dimensional accuracy, excessive surface roughness, etc. Combining the accuracy level of the machined parts and the current production parameters such as cutting speed and feed rate, the maximum allowable defect degree for the types of defects of the machined parts was formulated, which helps to timely detect and adjust the process parameters during the machining process to ensure that the quality of the machined parts meets the design requirements.

[0087] 103. Obtain the pump body image of the air bladder pump, determine the defects to be optimized in the pump body image and the corresponding defect types of the defects to be optimized, calculate the defect values corresponding to the defects to be optimized, and determine at least one production part to be optimized in the air bladder pump production line corresponding to the defect type.

[0088] Specifically, in an embodiment of the present application, obtaining the pump body image of the air bladder pump and determining the defects to be optimized in the pump body image and the corresponding defect types of the defects to be optimized specifically include:

[0089] Construct a pump body defect recognition model corresponding to the air bladder pump, and iterate the pump body defect recognition model according to the production parameters corresponding to each production part in the production parameter set, the association relationship between the production part and other production parts, and the part reference indicators corresponding to other production parts with defect risks, so as to obtain a trained pump body defect recognition model;

[0090] Through the monitoring devices preset at each production part in the air bladder pump production line, obtain the pump body images corresponding to each production part during the production process of the air bladder pump, and input the pump body images into the trained pump body defect recognition model to determine at least one defect area in the pump body image;

[0091] Conduct aggregation analysis on the defect areas, and determine the defect types corresponding to the defect areas according to the aggregation results.

[0092] In an embodiment, an enterprise producing air bladder pumps decides to introduce a pump body defect recognition technology based on machine learning in order to improve product quality and production efficiency. This technology realizes the automatic recognition and analysis of pump body defects by constructing a pump body defect recognition model and training and iterating the model using real-time monitoring data on the production line. First, a large amount of air bladder pump production data was collected, including the production parameters corresponding to each production part, the association relationship between parts, and the part reference indicators of parts with defects in history, etc., providing rich samples and feature information for constructing the pump body defect recognition model.

[0093] Based on this data, a preliminary pump body defect recognition model was constructed. This model uses deep learning algorithms and can automatically learn and extract features in the pump body images, and then identify potential defect areas. To improve the accuracy and generalization ability of the model, the model was also iteratively trained multiple times according to the production parameters corresponding to each production component in the production parameter set, the association relationships between components, and the component reference indicators corresponding to other production components with defect risks. During the training process, the model parameters and optimization algorithms were continuously adjusted to enable the model to more accurately identify pump body defects.

[0094] After completing the model training, high-resolution monitoring devices were installed at each production component of the air bladder pump production line, so as to be able to obtain pump body images during the production process in real time and transmit the image data to the trained pump body defect recognition model. After receiving the image data, the model will automatically perform defect recognition analysis and output the position information of the defect areas in the pump body image.

[0095] To more intuitively understand the defect situation, an aggregation analysis was also performed on the defect areas. By analyzing the characteristics such as the shape, size, and distribution of the defect areas, the defect types corresponding to the defect areas can be determined, such as cracks, depressions, air bubbles, etc., which helps enterprises to timely discover quality problems in the production process and take corresponding corrective measures.

[0096] In an embodiment of the present application, calculating the defect value corresponding to the defect to be optimized and determining at least one production component to be optimized in the air bladder pump production line corresponding to the defect type specifically includes:

[0097] Fitting the defect area to obtain a corresponding defect fitting contour, and in response to the selection operation of the target measurement point, determining the target measurement point in the defect fitting contour;

[0098] Based on the target measurement point, calculating the defect value corresponding to the defect area;

[0099] Matching the defect type with the preset mapping relationship table between the defect type and the production components to determine at least one production component to be optimized corresponding to the defect type among multiple production components in the air bladder pump production line.

[0100] In one embodiment, an air bladder pump manufacturing enterprise found that the pump body would occasionally have some defects during the production process. Although these defects do not affect the basic functions of the pump, they will reduce the service life and performance of the pump. To more accurately quantify these defects and find their root causes in order to optimize the production line, a defect detection method based on image processing and data analysis was adopted.

[0101] First, high-definition cameras pre-installed at various production components of the air bladder pump production line are used to capture images of the pump body in real time during the production process. These images are then fed into a trained pump body defect recognition model, enabling automatic identification of defect areas in the images.

[0102] Once the defect areas are identified, the system fits these areas to generate corresponding defect fitting contours. This fitting process uses advanced image processing algorithms to ensure the accuracy and precision of the fitting contours. After fitting, the user can select target measurement points on the defect fitting contours through simple click operations. Based on these target measurement points, the system can calculate specific defect values of the defect areas, such as the depth, width, area, etc. of the defect. These defect values are crucial for evaluating the severity of the defect and determining its possible impact on the pump body performance.

[0103] Next, the system matches the identified defect types with a pre-set mapping relationship table between defect types and production components. This mapping relationship table is established based on historical production data and experience, and it records which production components various defect types usually appear on. Through the matching, the system can quickly determine at least one production component to be optimized corresponding to the defect type. For example, if a defect type of "crack" is found and according to the mapping relationship table, such defects are usually related to the molding component, then the system will mark the molding component as the production component to be optimized, and then adjust the production process, material selection, or equipment parameters of the molding component accordingly to reduce or eliminate the generation of cracks.

[0104] 104. Determine the performance indicators corresponding to the production component to be optimized, and based on the performance indicators, analyze the real-time operating parameters and corresponding historical operating parameters of the production component to be optimized, so as to combine with the component reference indicators corresponding to the production component to be optimized and determine the specified production component that forms the defect to be optimized in the production component to be optimized.

[0105] Specifically, in an embodiment of the present application, determining the performance indicators corresponding to the production component to be optimized, and based on the performance indicators, analyzing the real-time operating parameters and corresponding historical operating parameters of the production component to be optimized, so as to combine with the component reference indicators corresponding to the production component to be optimized and determine the specified production component that forms the defect to be optimized in the production component to be optimized specifically includes:

[0106] Determine the performance indicators corresponding to the production component to be optimized according to the production requirement information; the performance indicators include efficiency indicators, stability indicators, and durability indicators;

[0107] For each parameter dimension of each production component to be optimized, the real-time operating parameters corresponding to the production component to be optimized are compared and analyzed with the historical operating parameters according to the time series, and based on the analysis results, the performance index deviation corresponding to the parameter dimension is determined; the performance index deviation is used to quantify the degree of performance change of the production component.

[0108] Combined with the defect types caused by the production component to be optimized and the maximum defect degree allowed for each defect type, the specified production components whose defect values caused by the performance index deviation exceed the maximum defect degree of the corresponding defect type are determined.

[0109] In one embodiment, to solve the problems existing in the service life and stability of the air bladder pump and improve the overall performance of the production line, a performance optimization method based on data analysis is adopted. First, according to the production requirement information, the pump body and impeller of the air bladder pump, which are the production components to be optimized, are clarified, and the corresponding performance indexes are determined, including the efficiency index (such as the working efficiency of the pump body), the stability index (such as the vibration condition of the pump body during operation), and the durability index (such as the service life of the pump body).

[0110] Next, for each parameter dimension of the pump body and impeller, such as the material hardness of the pump body and the rotation speed of the impeller, the real-time operating parameters are compared and analyzed with the historical operating parameters according to the time series. Advanced statistical analysis methods are used in the analysis process to accurately identify the performance index deviation in the parameter dimension. For example, through comparison, it is found that the material hardness of the recently produced pump body has decreased, resulting in an increase in the durability index deviation of the pump body.

[0111] Then, combined with the defect types caused by the production component to be optimized, such as pump body cracks and impeller wear, and the maximum defect degree allowed for each defect type, the performance index deviation is further analyzed to determine which production components' performance index deviations have exceeded the maximum defect degree of the corresponding defect type. For example, through analysis, it is found that the decrease in the material hardness of the pump body has caused the durability index deviation of the pump body to exceed the maximum defect degree of pump body cracks, which means there are problems with the material selection or processing technology of the pump body.

[0112] Finally, the specified production component - the pump body, whose defect value caused by the performance index deviation exceeds the maximum defect degree of the corresponding defect type, is determined, and the production material and production process of the pump body are immediately adjusted. At the same time, the quality inspection of the pump body and impeller is strengthened to ensure that all air bladder pumps leaving the factory meet the requirements of customers.

[0113] 105. Determine the transfer equipment corresponding to the specified production components in the air bladder pump production line, and the equipment parameter information corresponding to the specified production components and the transfer equipment. Based on the equipment parameter information corresponding to the specified production components and the transfer equipment, generate a production optimization strategy for the air bladder pump to achieve the production optimization of the air bladder pump.

[0114] Specifically, in an embodiment of the present application, generating a production optimization strategy for the air bladder pump based on the equipment parameter information corresponding to the specified production components and the transfer equipment to achieve the production optimization of the air bladder pump specifically includes:

[0115] Determine the equipment parameter information corresponding to the specified production components and the information collection time node corresponding to each equipment parameter information, and display the equipment parameter information in a curve according to the time sequence.

[0116] Based on the curve, compare the equipment parameter information with the component reference index corresponding to the specified production components to obtain the deviation trend of the production parameters of the specified production components based on the time sequence, and issue a warning message corresponding to the specified production components when the equipment parameter information deviates from the component reference index.

[0117] According to the deviation trend, determine the demand difference corresponding to the specified production components, and optimize the production parameters corresponding to the specified production components according to the demand difference to obtain the target production parameters corresponding to the specified production components.

[0118] In an embodiment, a production enterprise of air bladder pumps recently found that the pump body (specified production component) of a certain model of air bladder pump frequently malfunctioned, resulting in an increase in the product return rate. In order to find out the cause of the failure and optimize production, a device parameter monitoring and optimization method based on data analysis was adopted. First, the device parameter information corresponding to the pump body was determined. These parameters include, but are not limited to, the hardness of the pump body material, injection molding temperature, injection molding pressure, cooling time, etc., and the information collection time node corresponding to each parameter was recorded. Subsequently, using time series analysis technology, these device parameter information were displayed in a curve according to the time sequence for intuitive observation of the parameter change trend.

[0119] Next, based on these curves, the device parameter information was compared with the component reference index corresponding to the pump body. These component reference indexes were formulated based on historical production data and experience, representing the parameter range of the pump body under normal production conditions. Through comparison, it was found that the material hardness of the pump body had an obvious downward trend recently and had deviated from the component reference index, indicating that the change in material hardness might be one of the reasons for the pump body failure.

[0120] Based on this discovery, a warning message corresponding to the pump body was issued, reminding the production department to pay attention to the change in the hardness of the pump body material and take corresponding measures for investigation and adjustment. At the same time, according to the deviation trend, the demand difference corresponding to the pump body was calculated, that is, the gap between the current production parameters and the ideal production parameters. To optimize production, the production parameters corresponding to the pump body were adjusted according to the demand difference. For example, in response to the problem of decreasing material hardness, the injection temperature and injection pressure were adjusted to ensure that the pump body could obtain sufficient hardness and strength during the injection process. In addition, the cooling time was optimized to reduce the deformation and cracks that might occur during the cooling process of the pump body.

[0121] The above is the method embodiment proposed in this application. Based on the same inventive concept, the embodiments of this application also provide a production optimization device for a windbag pump, the structure of which is as Figure 2 shown.

[0122] Figure 2 It is a schematic internal structure diagram of a production optimization device for a windbag pump provided by an embodiment of this application. As Figure 2 shown, the device includes:

[0123] At least one processor;

[0124] And a memory communicatively connected to at least one processor;

[0125] Wherein, the memory stores instructions executable by at least one processor, and the instructions are executed by at least one processor so that at least one processor can:

[0126] Obtain the production demand information of the windbag pump, determine the corresponding windbag pump production line according to the production demand information, and pre-produce the windbag pump through multiple production components in the windbag pump production line; the production components at least include a molding component, a sintering component, and a machining component;

[0127] Obtain the set of production parameters corresponding to each production component of the pre-produced windbag pump, so as to determine the component reference index corresponding to each production component based on the set of production parameters; the component reference index includes the type of defect caused by the production component and the maximum allowable defect degree of each type of defect;

[0128] Obtain the pump body image of the windbag pump, determine the defect to be optimized in the pump body image and the defect type corresponding to the defect to be optimized, calculate the defect value corresponding to the defect to be optimized, and determine at least one production component to be optimized in the windbag pump production line corresponding to the defect type;

[0129] Determine the performance indicators corresponding to the production components to be optimized, and based on the performance indicators, analyze the real-time operating parameters and the corresponding historical operating parameters of the production components to be optimized, so as to combine the component reference indicators corresponding to the production components to be optimized and determine the specified production components that form the defects to be optimized in the production components to be optimized;

[0130] Determine the transfer equipment corresponding to the specified production components in the air bladder pump production line and the equipment parameter information corresponding to the specified production components and the transfer equipment, and generate a production optimization strategy for the air bladder pump based on the equipment parameter information corresponding to the specified production components and the transfer equipment, so as to realize the production optimization of the air bladder pump.

[0131] The embodiment of the present application also provides a non-volatile computer storage medium, storing computer-executable instructions, which can be executed by a computer to:

[0132] Obtain the production demand information of the air bladder pump, determine the corresponding air bladder pump production line according to the production demand information, and pre-produce the air bladder pump through multiple production components in the air bladder pump production line; the production components at least include a molding component, a sintering component, and a machining component;

[0133] Obtain the production parameter set corresponding to each production component of the pre-produced air bladder pump, so as to determine the component reference indicators corresponding to each production component based on the production parameter set; the component reference indicators include the defect types caused by the production components and the maximum allowable defect degree for each defect type;

[0134] Obtain the pump body image of the air bladder pump, determine the defects to be optimized in the pump body image and the defect types corresponding to the defects to be optimized, calculate the defect values corresponding to the defects to be optimized, and determine at least one production component to be optimized in the air bladder pump production line corresponding to the defect type;

[0135] Determine the performance indicators corresponding to the production components to be optimized, and based on the performance indicators, analyze the real-time operating parameters and the corresponding historical operating parameters of the production components to be optimized, so as to combine the component reference indicators corresponding to the production components to be optimized and determine the specified production components that form the defects to be optimized in the production components to be optimized;

[0136] Determine the transfer equipment corresponding to the specified production components in the air bladder pump production line and the equipment parameter information corresponding to the specified production components and the transfer equipment, and generate a production optimization strategy for the air bladder pump based on the equipment parameter information corresponding to the specified production components and the transfer equipment, so as to realize the production optimization of the air bladder pump.

[0137] Each embodiment in the present application is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and for the relevant parts, reference can be made to the partial description of the method embodiments.

[0138] The above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve the desired results. Additionally, the processes depicted in the figures do not necessarily require the particular order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0139] The devices and media provided in the embodiments of the present application correspond one-to-one with the methods. Therefore, the devices and media also have beneficial technical effects similar to those of their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be elaborated here.

[0140] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take 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.

[0141] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. 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, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0142] 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, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one or more of the processes Figure 1 one or more of the processes and / or blocks Figure 1 specified in one or more of the blocks or blocks.

[0143] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operational steps are performed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more of the processes Figure 1 one or more of the processes and / or blocks Figure 1 specified in one or more of the blocks or blocks.

[0144] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0145] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM) and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

[0146] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can store information by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape disk storage or other magnetic storage devices, or any other non-transitory media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media such as modulated data signals and carrier waves.

[0147] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, commodity or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent in such process, method, commodity or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, commodity or device comprising the said element.

[0148] The above are only the embodiments of the present application and are not intended to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A method for optimizing the production of a bellows pump, characterized in that: The method comprises: Acquire production demand information of the bellows pump, determine a corresponding bellows pump production line according to the production demand information, and pre-produce the bellows pump through a plurality of production components in the bellows pump production line; the production components at least include molded components, sintered components, and machined components; Obtaining a set of production parameters corresponding to each production component of the pre-produced bellows pump, and determining a component reference index corresponding to each production component based on the set of production parameters; the component reference index includes a defect type caused by the production component and a maximum defect degree allowed for each defect type; Acquire a pump body image of the bellows pump, determine a defect to be optimized in the pump body image and a defect type corresponding to the defect to be optimized, calculate a defect value corresponding to the defect to be optimized, and determine that the defect type corresponds to at least one production component to be optimized in the bellows pump production line; Determine the performance index corresponding to the production component to be optimized, and analyze the real-time operating parameters and corresponding historical operating parameters of the production component to be optimized based on the performance index, so as to determine the designated production component that forms the defect to be optimized in the production component to be optimized in combination with the component reference index corresponding to the production component to be optimized; Determine the transfer equipment corresponding to the designated production component in the bellows pump production line and the equipment parameter information corresponding to the designated production component and the transfer equipment, and based on the equipment parameter information corresponding to the designated production component and the transfer equipment, generate a production optimization strategy corresponding to the bellows pump to achieve production optimization of the bellows pump.

2. The method for optimizing the production of a bellows pump according to claim 1, characterized in that: Acquiring production demand information of a bellows pump, determining a corresponding bellows pump production line according to the production demand information, and pre-producing the bellows pump through a plurality of production components in the bellows pump production line, specifically including: Acquire production demand information of bellows pumps through multiple data sources; the multiple data sources include market trend analysis reports and customer feedback information, and the production demand information includes performance indicators, use environment, and product information of bellows pumps; Determine the bellows pump model, production quantity and production cycle in the product information, so as to determine the bellows pump production line that matches the production demand information from a preset production line database; Determine multiple production parts in the bellows pump production line, and obtain production part configuration information corresponding to the bellows pump production line; the production part configuration information includes part models of molded parts, part specifications of sintered parts, and accuracy levels of machined parts.

3. The method for optimizing the production of a bellows pump according to claim 2, characterized in that: After determining a plurality of production components in the bellows pump production line and obtaining configuration information of the production components corresponding to the bellows pump production line, the method further includes: The raw materials are placed into a molded part by a transfer device in the bellows pump production line to die-cast the raw materials, and the die-cast blanks are transferred to a sintering part by the transfer device to sinter the blanks by the sintering part; The sintered blank is cooled, and the sintered and cooled blank is transferred to a machining component, so that the sintered and cooled blank is processed into parts of a bellows pump by the machining component, so as to obtain a pre-produced bellows pump.

4. The method for optimizing the production of a bellows pump according to claim 1, characterized in that: Obtaining a production parameter set corresponding to each production component of the pre-produced bellows pump, and determining a component reference index corresponding to each production component based on the production parameter set, specifically including: By means of a monitoring device preset at each production component in the bellows pump production line, the production parameters corresponding to each production component in the bellows pump production process are obtained, and multiple production parameters are integrated to form a set of production parameters corresponding to the bellows pump production line; the production parameters at least include: temperature, pressure, time, speed and material consumption; For a molded component, historical molding data of the molded component is obtained to determine a defect type corresponding to the molded component, and a maximum defect degree allowed for the defect type of the molded component is determined in combination with a component model of the molded component and production parameters corresponding to the molded component; For a sintered component, historical sintering data of the sintered component is obtained to determine the defect type caused by the sintered component according to the historical sintering data, and the maximum defect degree allowed by the defect type of the sintered component is determined in combination with the component specification of the sintered component and the production parameters corresponding to the sintered component; For a machined component, historical machining data of the machined component is obtained to determine the defect type caused by the machined component, and the maximum defect degree allowed for the defect type of the machined component is determined in combination with the accuracy grade of the machined component and the production parameters corresponding to the machined component; Among them, the defect types include dimensional deviation, surface flaws and material performance degradation.

5. The method for optimizing the production of a bellows pump according to claim 1, characterized in that: Acquiring a pump body image of the bellows pump, and determining a defect to be optimized in the pump body image and a defect type corresponding to the defect to be optimized, specifically includes: Constructing a pump body defect recognition model corresponding to the bellows pump, and iterating the pump body defect recognition model according to the production parameters corresponding to each production component in the production parameter set, the association relationship between the production component and other production components, and the component reference indicators corresponding to other production components with defect risks, so as to obtain a trained pump body defect recognition model; By using a monitoring device preset at each production component in the bellows pump production line, a pump body image corresponding to each production component in the bellows pump production process is obtained, and the pump body image is input into a trained pump body defect recognition model to determine at least one defective area in the pump body image; An aggregation analysis is performed on the defect area, and a defect type corresponding to the defect area is determined according to the aggregation result.

6. The method for optimizing the production of a bellows pump according to claim 5, characterized in that: Calculating the defect value corresponding to the defect to be optimized, and determining that the defect type corresponds to at least one production component to be optimized in the bellows pump production line, specifically includes: Fitting the defect area to obtain a corresponding defect fitting contour, and determining a target measurement point in the defect fitting contour in response to a selection operation of a target measurement point; Based on the target measurement point, calculating the defect value corresponding to the defect area; The defect type is matched with a preset mapping relationship table between defect types and production parts to determine at least one production part to be optimized corresponding to the defect type among multiple production parts of the bellows pump production line.

7. The method for optimizing the production of a bellows pump according to claim 1, characterized in that: Determining the performance index corresponding to the production component to be optimized, and analyzing the real-time operating parameters and the corresponding historical operating parameters of the production component to be optimized based on the performance index, so as to determine the designated production component that forms the defect to be optimized in the production component to be optimized in combination with the component reference index corresponding to the production component to be optimized, specifically including: Determine, according to the production demand information, the performance index corresponding to the production component to be optimized; the performance index includes an efficiency index, a stability index and a durability index; For each parameter dimension of each production component to be optimized, a comparison analysis is performed on the real-time operating parameters and historical operating parameters corresponding to the production component to be optimized according to the time series, and a performance indicator deviation corresponding to the parameter dimension is determined according to the analysis result; the performance indicator deviation is used to quantify the degree of performance change of the production component; In combination with the defect types caused by the production component to be optimized and the maximum defect degree allowed for each defect type, a designated production component is determined whose defect value caused by the performance indicator deviation exceeds the maximum defect degree of the corresponding defect type.

8. The method for optimizing the production of a bellows pump according to claim 1, characterized in that: Based on the equipment parameter information corresponding to the designated production component and the transfer equipment, a production optimization strategy corresponding to the air bag pump is generated to achieve production optimization of the air bag pump, specifically including: Determine the equipment parameter information corresponding to the specified production component and the information collection time node corresponding to each equipment parameter information, and display the equipment parameter information in a curve according to the time sequence; Based on the curve, the equipment parameter information is compared with the component reference index corresponding to the designated production component to obtain the deviation trend of the production parameter of the designated production component based on the time series, and when the equipment parameter information deviates from the component reference index, an early warning information corresponding to the designated production component is issued; According to the deviation trend, the demand difference corresponding to the designated production component is determined, and the production parameters corresponding to the designated production component are optimized according to the demand difference to obtain the target production parameters corresponding to the designated production component.

9. A production optimization device for a bellows pump, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; Wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the production optimization method of a bellows pump as described in any one of claims 1-8.

10. A non-volatile computer storage medium storing computer executable instructions, characterized in that: When the computer executable instructions are executed, a method for optimizing the production of a bellows pump as described in any one of claims 1 to 8 is implemented.

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