A method, apparatus, and medium for airbag process monitoring for airbag pumps

Abstract

The application discloses a kind of wind bag process monitoring method, equipment and medium for wind bag pump, belong to wind bag pump technical field, to solve the production process monitoring of wind bag in existing wind bag pump mainly for artificial detection, quality control process is more difficult, it is not conducive to real-time quality monitoring and high-quality wind bag production technology problem.The method comprises the following steps: comparing and attenuating the current pressure operation data with the historical pressure operation data in the mould pressing equipment to obtain the mould pressing process data;Multi-dimensional scanning processing is carried out on the sintered wind bag product to obtain the sintering process data;The consistency parameter comparison of the wind bag machining product after machining is carried out based on the standard model to determine the machining data;The surface roughness of the wind bag machining product is detected inside and outside the pipeline to obtain the surface roughness data;The mould pressing process data, sintering process data, machining data and surface roughness data are calculated by power distribution scoring to obtain the finished product process evaluation score of wind bag.

Description

Technical Field

[0001] This application relates to the field of airbag pumps, and more particularly to a method, equipment, and medium for monitoring the airbag process in an airbag pump. Background Technology

[0002] The bellows pump used in semiconductor wet processing mainly consists of a bellows (also known as a plenum) and a one-way valve, powered by compressed air. The pump adjusts its volume by expanding and contracting the bellows to draw in and expel liquid. When the compressed air pressure on one side of the pump increases, it compresses the bellows, reducing its internal volume and increasing the internal pressure, thus expelling the liquid. Conversely, the bellows on the other side expand, increasing its internal volume and creating a negative pressure environment, drawing in liquid from the outside. The two bellows work alternately, allowing for continuous liquid discharge. Due to the pump's operating principle, the flow rate and pressure of the discharged liquid exhibit a certain pulsating characteristic.

[0003] The main flow-through components include the air bladder, check valve, and inlet / outlet ports. Among these, the air bladder (i.e., the bellows) is the core component of the air bladder pump. During operation, the air bladder undergoes continuous reciprocating motion, and stress concentration occurs during its elongation and contraction. Prolonged operation can lead to localized fatigue damage. When the air bladder deforms beyond its pressure resistance limit, excessive deformation or rupture occurs. Rupture of the air bladder can result in chemical leakage, causing safety accidents, semiconductor equipment shutdowns, significant economic losses, and even personal injury. Therefore, real-time monitoring of the air bladder production process is necessary to ensure the quality and pass rate of each air bladder and reduce the failure rate of the air bladder pump. Summary of the Invention

[0004] This application provides a method, equipment, and medium for monitoring the airbag process of an airbag pump, which addresses the following technical problem: In existing airbag pumps, the monitoring of the airbag production process mainly relies on manual inspection, making quality control difficult and hindering real-time quality monitoring and the production of high-quality airbags.

[0005] The embodiments of this application adopt the following technical solutions:

[0006] On one hand, embodiments of this application provide a method for monitoring the process of an airbag pump, comprising: comparing and attenuating current pressure operating data and historical pressure operating data in a molding equipment to obtain molding process data; based on the molding process data, performing multi-dimensional scanning processing on the sintered airbag product to obtain sintering process data; according to the sintering process data, comparing the consistency parameters of the machined airbag product based on a standard model to determine the machining data; based on the machining data, performing surface roughness detection on the inside and outside of the pipes of the machined airbag product to obtain surface roughness data; and performing weighted scoring calculation on the molding process data, the sintering process data, the machining data, and the surface roughness data to obtain a finished product process evaluation score for the airbag.

[0007] This application's embodiments, by comparing current and historical pressure operating data of the molding equipment, can analyze the stability and trends of the molding process, helping to identify process problems in a timely manner. It also provides more comprehensive and detailed sintering process data, which helps to more accurately assess the quality of the sintering process. This ensures that the machined airbag meets design requirements, improving product precision and consistency. Inspecting the surface roughness of the machined airbag ensures surface quality, reduces fluid resistance, and improves pump efficiency and lifespan. Simultaneously, weighted scoring calculations of data from molding, sintering, machining, and surface roughness provide a comprehensive finished product process evaluation score, helping manufacturers better understand the overall product quality. Furthermore, it allows for timely identification and resolution of problems, reducing downtime and improving production efficiency.

[0008] In one feasible implementation, the current pressure operating data in the molding equipment is compared and attenuated with historical pressure operating data to obtain molding process data. Specifically, this includes: real-time data acquisition of various pressure operating parameters in the molding equipment based on preset molding process parameters to obtain the current pressure operating data; wherein the current pressure operating data includes at least: equipment pressure data, pressure holding time data, and pressure holding feed data; based on the molding process parameters, historical process parameters of the airbag process system are queried to obtain historical pressure operating data collected in historical cycles and historical acquisition time nodes; based on the historical acquisition time nodes, the historical pressure operating data is arranged chronologically to obtain historical pressure operating cycle data; and the historical pressure operating cycle data is subjected to curve analysis to obtain equipment pressure... Pressure loss trend data; where the horizontal axis of the curve represents the historical data acquisition time point, and the vertical axis represents the historical pressure operation data; based on the pressure loss trend data, the current pressure operation data is predicted over a period of time to obtain predicted pressure operation data; the predicted pressure operation data is compared with standard pressure operation data; if the predicted pressure operation data conforms to the standard pressure operation data, the current pressure operation data is determined as the molding process data of the molding equipment in the current production cycle; if the predicted pressure operation data does not conform to the standard pressure operation data, the relevant pressure operation data of the molding equipment is recalibrated to ensure that the recalibrated predicted pressure operation data conforms to the standard pressure operation data, and the recalibrated current pressure operation data is determined as the molding process data.

[0009] In one feasible implementation, based on the molding process data, the sintered windbag product is subjected to multi-dimensional scanning processing to obtain sintering process data. Specifically, this includes: after determining the molding process data, starting a rotary PTFE sintering furnace; using the rotary PTFE sintering furnace to perform PTFE protective molding and sintering on the windbag to obtain the sintered windbag product; using a preset two-dimensional test projector to perform two-dimensional scanning projection on the front and top of the sintered windbag product to obtain a two-dimensional shadow contour map; comparing the two-dimensional shadow contour map with a standard windbag shadow contour map to obtain a two-dimensional shadow wheel. The two-dimensional shadow contour results include: contour consistency results and contour inconsistency results. If the two-dimensional shadow contour image is the contour inconsistency result, the sintered windbag product is marked as a defective sintered product and transported to the defective product collection box. If the two-dimensional shadow contour image is the contour consistency result, the sintered windbag product is marked as a qualified product, and the sintered windbag product is 3D scanned and projected using a preset 3D test projector to determine the 3D sintered product structure data. The 3D sintered product structure data is compared with the standard windbag structure data to determine the sintering process data.

[0010] In one feasible implementation, the sintering process data is determined by comparing the three-dimensional sintered product structure data with the standard windshield structure data. Specifically, this includes: performing three-dimensional structural overlap processing on the three-dimensional sintered product structure data and the standard windshield structure data to obtain overlapping three-dimensional structure data; marking the non-overlapping areas in the overlapping three-dimensional structure data to obtain non-overlapping structure areas; dividing the non-overlapping structure areas into structural regions based on the three-dimensional structural color differences between the three-dimensional sintered product structure data and the standard windshield structure data to obtain sintered product structure growth areas and standard windshield structure missing areas; and performing area volumetric analysis on the standard windshield structure missing areas. The volume data of the structurally missing region is calculated; the volume of the structurally proliferating region of the sintered product is calculated to obtain the volume data of the structurally proliferating region; a threshold judgment is made on the volume data of the structurally missing region and the volume data of the structurally proliferating region; if the value of the volume data of the structurally missing region is less than a first preset threshold and the value of the volume data of the structurally proliferating region is less than a second preset threshold, then the sintered product of the windbag is determined as a qualified sintered product; and based on the volume data of the structurally proliferating region, the sintering process data of the sintered product of the windbag is determined; otherwise, the sintered product of the windbag is determined as a non-qualified sintered product and is transported to the defective product collection box.

[0011] In one feasible implementation, based on the sintering process data, the machined airbag finished product is compared with consistency parameters under a standard model to determine the machining data. Specifically, this includes: after acquiring the sintering process data, using a preset tooling mold in a CNC servo system and based on preset part machining dimensions, the sintered airbag finished product is cut to obtain the machined airbag finished product; using a preset infrared rangefinder, the straightness continuity of the inner wall of the pipe in the machined airbag finished product is detected to obtain the inner wall straightness detection result; and the straightness continuity of the outer wall of the pipe in the machined airbag finished product is detected to obtain the outer wall straightness detection result; if both the inner wall straightness detection result and the outer wall straightness detection result are passing, then the dimensions of the machined airbag finished product are inspected; wherein, the dimension inspection includes: the inner wall diameter of the pipe and the outer wall diameter of the pipe. The machined airbag is processed into random segments to obtain random segmented regions. The outer diameter of the pipe and the corrugation spacing of the pipe are measured in the random segmented regions to obtain a first detection result. The first detection result also includes the specific outer diameter and corrugation spacing values ​​of the pipe. If the first detection result is a pass result after threshold judgment, the inner diameter and wall thickness of the pipe are measured at both ends of the machined airbag to obtain a second detection result. If the second detection result is a pass result, the machined airbag is determined to be a qualified machined product. The second detection result also includes the inner diameter and wall thickness values ​​of the pipe. Based on the first and second detection results, the machining data is generated.

[0012] In one feasible implementation, based on the machining data, the surface roughness of the machined windbag finished product is tested inside and outside the pipe to obtain surface roughness data. Specifically, this includes: after obtaining the machining data, the machined windbag finished product is soaked and circulatedly rinsed with foreign matter using a preset rinsing device to obtain the original windbag finished product; wherein, the cleaning fluid used in the rinsing device is ultrapure water; the foreign matter includes at least: burrs and attachments; the outer surface of the original windbag finished product is tested for reflected light using a preset small-aperture gloss meter to obtain outer surface roughness data; the inner surface of the original windbag finished product is quantitatively calculated for relevant micro-morphological parameters using a preset surface roughness meter to obtain inner surface roughness data; if both the outer surface roughness data and the inner surface roughness data meet the preset roughness data, the original windbag finished product is determined as a windbag finished product to be put into storage; the inner surface roughness data and the outer surface roughness data of the windbag finished product to be put into storage are integrated to obtain the surface roughness data; wherein, the surface roughness data includes outer surface roughness and inner surface roughness.

[0013] In one feasible implementation, a weighted scoring calculation is performed on the molding process data, the sintering process data, the machining data, and the surface roughness data to obtain the finished product process evaluation score of the windbag. Specifically, this includes: assigning weights to each production stage based on the complexity of each stage in the windbag production process to obtain the weight ratio of each stage; performing a quality standard evaluation calculation on the molding process data, the sintering process data, the machining data, and the surface roughness data under the production process to obtain the molding process score, sintering process score, machining score, and surface roughness score of the current windbag; and performing a weighted scoring calculation on the molding process score, the sintering process score, the machining score, and the surface roughness score according to the weight ratio of each production stage to obtain the finished product process evaluation score of the current windbag.

[0014] In one feasible implementation, after calculating the finished product process evaluation score of the airbag by weighted scoring of the molding process data, the sintering process data, the machining data, and the surface roughness data, the method further includes: comparing the finished product process evaluation score with a third preset threshold; if the finished product process evaluation score is greater than or equal to the third preset threshold, then the airbag corresponding to the finished product process evaluation score is determined as the finished airbag to be tested; a sealing and pressure holding test is performed on the finished airbag to be tested; if the sealing and pressure holding test is passed, then the finished airbag to be tested is determined as the final qualified airbag; the final qualified airbag is stored in a warehouse for use in the airbag pump assembly stage.

[0015] Secondly, embodiments of this application also provide a process monitoring device for a windbag pump, the device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to execute a process monitoring method for a windbag pump as described in any of the above embodiments.

[0016] Thirdly, embodiments of this application also provide a non-volatile computer storage medium, characterized in that the storage medium is a non-volatile computer-readable storage medium, the non-volatile computer-readable storage medium stores at least one program, each program including instructions, and when the instructions are executed by a terminal, the terminal executes a method for monitoring the process of a wind bag pump as described in any of the above embodiments.

[0017] This application provides a method, equipment, and medium for monitoring the process of a wind-bag pump. Compared with the prior art, the embodiments of this application have the following beneficial technical effects:

[0018] 1. By comparing the current pressure operating data of the molding equipment with the historical pressure operating data, the stability and trend of the molding process can be analyzed, which helps to identify process problems in a timely manner.

[0019] 2. By performing multi-dimensional scanning on the sintered wind bag, more comprehensive and detailed sintering process data can be obtained, which helps to more accurately assess the quality of the sintering process.

[0020] 3. By comparing the consistency parameters based on the standard model, it can be ensured that the machined windbags meet the design requirements, thereby improving the precision and consistency of the products.

[0021] 4. Inspecting the surface roughness of the finished products processed by the airbag machine can ensure the surface quality of the products, reduce fluid resistance, and improve the efficiency and lifespan of the pump.

[0022] 5. By weighting and scoring data from multiple aspects such as molding, sintering, machining, and surface roughness, a comprehensive finished product process evaluation score can be provided, helping manufacturers better understand the overall quality of their products.

[0023] 6. By monitoring and evaluating process data in real time, problems can be identified and resolved promptly, reducing downtime and improving production efficiency.

[0024] 7. By optimizing the process flow and improving product quality, rework and scrap rates can be reduced, thereby lowering production costs.

[0025] 8. By monitoring and evaluating key process parameters, the reliability and durability of products can be improved, meeting more stringent application requirements. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0027] Figure 1 A flowchart of a process monitoring method for an airbag pump provided in this application embodiment;

[0028] Figure 2 This is a schematic diagram of the structure of a wind bag process monitoring device for a wind bag pump, provided in an embodiment of this application. Detailed Implementation

[0029] To enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this application.

[0030] It should be noted that in the drive mechanism of the airbag pump, an air chamber is formed between components such as the airbag (bellows), cylinder liner, and side plates. Sealing rings are used between these components to ensure no compressed air leakage, thus providing sufficient pressure to the airbag pump. The airbag is connected to the connecting plate and pin shaft. The pin shaft is connected to the pull plate nut, and the pull plates on both sides are connected by pull rods, thereby achieving the linkage of compression on one side and extension on the other.

[0031] The main production processes of the airbag in the airbag pump involve molding, sintering, machining, inspection, cleaning, assembly, testing, and warehousing. During the assembly stage, the product is assembled according to the airbag pump's operating instructions. After assembly, the product undergoes another sealing and pressure test before being finally stored. All of the above ultra-clean cleaning, assembly, and testing are completed in a cleanroom. The tools and containers used during testing must meet ultra-cleanliness requirements.

[0032] This application provides a method for monitoring the airbag process in an airbag pump, such as... Figure 1 As shown, the method specifically includes steps S101-S105:

[0033] S101. Compare and attenuate the current pressure operating data and historical pressure operating data in the molding equipment to obtain molding process data.

[0034] Specifically, based on preset molding process parameters, data on various pressure operating parameters in the molding equipment are collected in real time to obtain current pressure operating data. This current pressure operating data includes at least: equipment pressure data, pressure holding time data, and pressure holding feed rate data.

[0035] Furthermore, based on the molding process parameters, the historical process parameters of the airbag process system are queried and processed to obtain the historical pressure operation data and historical acquisition time nodes collected in the historical cycle.

[0036] Furthermore, based on historical data acquisition time points, the historical pressure operation data is arranged chronologically to obtain historical pressure operation cycle data. Curve analysis of the historical pressure operation cycle data yields equipment pressure loss trend data. The horizontal axis of the curve represents the historical data acquisition time points, and the vertical axis represents the historical pressure operation data.

[0037] Furthermore, based on the equipment pressure loss trend data, the current pressure operating data is used to predict the trend over a period of time, resulting in predicted pressure operating data. This predicted pressure operating data is then compared with standard pressure operating data.

[0038] If the predicted pressure operating data matches the standard pressure operating data, the current pressure operating data is determined as the molding process data for the molding equipment in the current production cycle. If the predicted pressure operating data does not match the standard pressure operating data, the relevant pressure operating data for the molding equipment is recalibrated to ensure that the calibrated predicted pressure operating data matches the standard pressure operating data, and the calibrated current pressure operating data is determined as the molding process data.

[0039] As a feasible implementation method, utilizing equipment pressure loss trend data can determine that in actual production, due to the extended continuous use period, the pressure operating parameters actually controlled by the machine will have a certain error, i.e., there is actual pressure loss. By judging whether the predicted pressure operating data matches the standard pressure operating data, it can be determined whether the molding equipment has good performance in the current production cycle. If it does not meet the standard, timely adjustments are needed, while avoiding frequent adjustments and reduced production efficiency. Simultaneously, the molding process data corresponding to the current pressure operating data is recorded, which is beneficial for subsequent overall monitoring and scoring of the airbag production process in the airbag pump.

[0040] S102. Based on the molding process data, the sintered wind bag product is scanned in multiple dimensions to obtain sintering process data.

[0041] It should be noted that a rotary PTFE sintering furnace can be used in the sintering stage. It is mainly used for the protective molding and sintering of PTFE products. The inner liner and material tray of the oven are made of stainless steel. The temperature is controlled by an intelligent program instrument. The material and workpiece rotate smoothly, with high control accuracy, uniform sintering temperature, and high yield.

[0042] Specifically, after determining the molding process data, a rotary PTFE sintering furnace is started. The airbag is then sintered using the rotary PTFE sintering furnace to protect and mold the PTFE product, resulting in the finished sintered airbag.

[0043] Furthermore, using a pre-set two-dimensional test projector, a two-dimensional scanning projection of the front and top surfaces of the sintered windbag is performed to obtain a two-dimensional shadow contour image. This two-dimensional shadow contour image is then compared with a standard windbag shadow contour image to determine the final two-dimensional shadow contour result. This result includes both consistent and inconsistent contour results.

[0044] If the two-dimensional shadow contour diagram shows an inconsistent contour, the sintered windbag product is marked as a defective sintered product and sent to the defective product collection box. If the two-dimensional shadow contour diagram shows a consistent contour, the sintered windbag product is marked as a qualified product, and the sintered windbag product is 3D scanned and projected using a preset 3D testing projector to determine the 3D sintered product structural data.

[0045] As a feasible implementation method, the initial detection of the two-dimensional shadow contour of the sintered wind bag product can quickly identify the sintered product with large defects. At the same time, the system has a low computational load, which can greatly improve the recognition efficiency, thereby quickly completing the subsequent scanning and generation of three-dimensional sintered product structural data.

[0046] Furthermore, the 3D sintered product structural data and the standard wind bag structural data are subjected to 3D structural overlay processing to obtain overlapping 3D structural data. Non-overlapping areas in the overlapping 3D structural data are then labeled to obtain non-overlapping structural regions. Based on the 3D structural color differences between the 3D sintered product structural data and the standard wind bag structural data, the non-overlapping structural regions are divided into structural regions, resulting in sintered product structural overgrowth areas and standard wind bag structural missing areas.

[0047] Furthermore, the volume of the missing area in the standard wind bag structure is calculated to obtain the volume data of the missing area. The volume of the sintered product with structural proliferation is also calculated to obtain the volume data of the proliferating area. Then, threshold judgments need to be applied to both the volume data of the missing area and the volume data of the proliferating area.

[0048] If the volume data of the structurally missing region is less than a first preset threshold and the volume data of the structurally proliferating region is less than a second preset threshold, then the sintered windbag is determined to be a qualified sintered product. Based on the volume data of the structurally proliferating region, the sintering process data for the sintered windbag is determined. Otherwise, the sintered windbag is determined to be a defective sintered product and is sent to the defective product collection box.

[0049] As a feasible implementation method, the three-dimensional sintered product structure data and the standard wind bag structure data are first subjected to three-dimensional structural overlay processing to obtain overlapping three-dimensional structural data. The color difference between the non-overlapping structural regions can be used to complete the division of each non-overlapping structural region based on the original colors of the three-dimensional sintered product structure data and the standard wind bag structure data. Finally, the sintered product structure proliferation region (the region in the three-dimensional sintered product structure data that is higher than the standard wind bag structure data) and the standard wind bag structure missing region (the region in the three-dimensional sintered product structure data that is lower than the standard wind bag structure data) are identified. After using the threshold judgment of the volume data of the structure proliferation region and the volume data of the structure missing region, unqualified sintered products and qualified sintered products can be identified, thereby completing the good product monitoring of the sintering process and improving the overall wind bag yield.

[0050] In one embodiment, a first preset threshold (volume of structurally missing area) is used to determine whether there are unacceptable material defects (such as pores, depressions, etc.) in the sintered finished product. If the volume of the missing area exceeds the threshold, the function or strength may be impaired. A second preset threshold (volume of structurally proliferating area) is used to determine the proliferation of excess material (such as protrusions, burrs, etc.) in the sintered finished product. If the volume of the proliferating area exceeds the threshold, it may affect the assembly accuracy or appearance.

[0051] In one embodiment, 1. Regarding product design requirements and functional verification:

[0052] Design Tolerance: Based on the design drawings and functional requirements of the wind tank, determine the allowable deviation range of the geometric dimensions of key components. For example, by simulating the stress distribution of the wind tank under stress through finite element analysis (FEA), the maximum allowable volume of the missing / hyperplastic area can be derived. Functional Testing: Determine the threshold through destructive experiments (such as sealing tests and fatigue tests). For example, gradually increase the sample testing volume with missing volume until performance fails; this critical value is the first threshold.

[0053] 2. Regarding material properties and process stability:

[0054] PTFE shrinkage rate: PTFE undergoes volume changes during sintering due to thermal expansion and cooling contraction. A threshold needs to be set based on the material properties. For example, if the standard shrinkage rate is ±2%, the threshold must cover this fluctuation range. Process capability index (Cpk): This is determined by statistically analyzing the distribution of missing / increased volumes in historical production data. Based on the 6σ principle (±3σ), the natural fluctuation range of the process is determined, and the threshold is usually set within the process capability range (e.g., Cpk ≥ 1.33).

[0055] 3. Regarding industry standards and customer specifications:

[0056] Industry-standard practices: Refer to quality control standards for similar PTFE products (such as ASTM D4894 for dimensional tolerances of PTFE molded parts). Customer-specific requirements: If the airbag is used in high-precision applications (such as medical equipment), customers may require stricter volume tolerances.

[0057] 4. Regarding Measurement System Accuracy (MSA): Considering the measurement error of the 3D projector (e.g., ±0.1% volumetric accuracy), the threshold must be greater than the measurement error to avoid misjudgment. For example, if the measurement error is 0.5 mm³, the threshold should be set to at least 1 mm³.

[0058] In one embodiment, it is necessary to first clarify the functional requirements of the airbag (such as sealing performance and pressure resistance), assembly requirements (such as matching gaps with adjacent components), and customer quality standards. Then, a Design of Experiments (DOE) is performed to prepare samples with different missing / hyperplasia volumes, conduct functional tests, and record the failure threshold. A regression analysis is used to establish a model of the relationship between volume deviation and performance, determining the threshold boundary. Next, process capability assessment is conducted, statistically analyzing the distribution data of missing / hyperplasia volumes in mass production (such as mean and standard deviation) and calculating the Cpk value. If the current process capability is insufficient (Cpk < 1.0), the process needs to be optimized or the threshold relaxed. Finally, threshold verification and iteration are performed. The threshold is applied in trial production, tracking the pass rate and customer complaint rate, and dynamically adjusting the threshold. A safety factor (such as threshold = critical value × 0.8) is introduced to cope with uncontrollable fluctuations.

[0059] As a feasible implementation method, the first threshold (missing volume) is set to 1 mm³ if the minimum wall thickness of the wind bag is 2 mm and the missing area volume exceeds 1 mm³, which may result in a local wall thickness of <1.5 mm (the lower limit of the design requirement). The second threshold (growth volume) is set to 0.3 mm³ if the assembly gap between the wind bag and adjacent components is 0.5 mm and the growth volume exceeds 0.3 mm³, which may result in interference.

[0060] S103. Based on the sintering process data, the machined windbag finished product is compared with the consistency parameters under the standard model to determine the machining data.

[0061] It should be noted that a CNC servo system is used in the machining stage to precisely control the machining dimensions of the parts, and tooling molds are used to ensure the size and consistency of the products during the machining process.

[0062] Specifically, after obtaining the sintering process data, that is, after the previous step of inspection is passed, the tooling mold in the preset CNC servo system is used, and the sintered windbag is cut based on the preset part processing dimensions to obtain the machined windbag.

[0063] As a viable implementation method, tooling dies are pieces of equipment used in manufacturing; they are tools specifically designed for manufacturing industrial products. These tools are typically made of high-strength, durable materials to withstand the pressure and wear of repeated use and processing without damage. Tooling dies often incorporate multiple technologies, including mechanical, electronic, and hydraulic systems, and can be pre-designed, tested, and programmed to ensure efficient production capacity and product quality.

[0064] Furthermore, using a pre-set infrared rangefinder, the straightness continuity of the inner wall of the pipe processed by the airbag machine is detected, and the straightness detection result of the inner wall is obtained. Similarly, the straightness continuity of the outer wall of the pipe processed by the airbag machine is detected, and the straightness detection result of the outer wall is obtained.

[0065] If both the inner and outer wall straightness test results are satisfactory, then the finished product of the wind bag machine will undergo dimensional inspection. This dimensional inspection includes: the inner diameter of the pipe, the outer diameter of the pipe, the pipe wall thickness, and the pipe corrugation spacing.

[0066] Furthermore, the machined airbag is randomly segmented to obtain randomly segmented regions. The outer diameter of the pipe and the spacing of the pipe corrugations are then measured within these randomly segmented regions to obtain the first inspection result. This first inspection result also includes the values ​​for the outer diameter of the pipe and the spacing of the pipe corrugations.

[0067] If the first test result is a pass result after threshold judgment, then the inner diameter and wall thickness of the pipes at both ends of the machined airbag are measured to obtain a second test result. If the second test result is a pass result, the machined airbag is determined to be a qualified machined product. The second test result also includes the inner diameter and wall thickness of the pipes.

[0068] In one embodiment, an infrared rangefinder can be used to accurately detect the outer diameter of the pipe and the spacing of the pipe corrugations. This detection method is convenient and can quickly complete scanning and measurement, which is a prerequisite for subsequent internal inspection. Only after the first inspection result is passed can the inner diameter and wall thickness of the pipe be inspected at both ends of the machined airbag. Only after both the first and second inspection results are passed can the machined airbag be determined as a qualified machined product.

[0069] Furthermore, after integrating and storing the first and second test results, machining data is finally generated.

[0070] S104. Based on machining data, the surface roughness of the inside and outside of the pipe of the machined wind bag is detected to obtain surface roughness data.

[0071] Specifically, after obtaining the machining data, the machined airbag is soaked and circulated through a pre-set rinsing device to remove foreign matter, resulting in the original airbag product. The cleaning solution used in the rinsing device is ultrapure water. Foreign matter includes at least burrs and attached substances.

[0072] Furthermore, the outer surface of the original windbag product is tested for reflected light using a pre-set small-aperture gloss meter to obtain outer surface roughness data. The inner surface of the original windbag product is then quantitatively calculated using a pre-set surface roughness meter to obtain inner surface roughness data.

[0073] In one embodiment, the gloss of the outer surface of the plastic pipe is measured using tools such as a small-aperture gloss meter. Gloss is a major factor affecting the overall visual appearance, and it is measured by specular reflection using a gloss meter, typically employing gloss meters with angles such as 20 degrees, 60 degrees, and 85 degrees. Then, a surface roughness meter is used to assess the roughness of the inner surface of the pipe. A surface roughness meter can quantify the surface roughness by detecting parameters of the surface microstructure. This provides more accurate data and is suitable for applications requiring high-precision measurements, such as ensuring the roughness of the inner and outer surfaces of the airbag to improve product lifespan and reduce the probability of failure.

[0074] If both the outer and inner surface roughness data meet the preset roughness data, then the original finished airbag is determined as the finished airbag to be put into storage.

[0075] Furthermore, the inner and outer surface roughness data of the finished windbags to be stored are integrated to obtain surface roughness data. This surface roughness data includes both the outer and inner surface roughness.

[0076] As a feasible implementation method, it is also necessary to record the inner surface roughness data and outer surface roughness data of the finished windbags to be put into storage, which will be used for the scoring of subsequent overall process steps. That is, the surface roughness data is used as one of the scoring quantities of the cleaning step.

[0077] S105. Perform weighted scoring calculations on molding process data, sintering process data, machining data, and surface roughness data to obtain the finished product process evaluation score of the wind bag.

[0078] Specifically, based on the complexity of each production step in the wind bag manufacturing process, that is, the importance of each production step and the required process quality of each production step are different, a weight allocation is made for each production step to obtain the weight ratio of each production step.

[0079] Furthermore, the quality standard evaluation calculations under the production process were performed on the molding process data, sintering process data, machining data, and surface roughness data respectively, to obtain the current wind bag molding process score, sintering process score, machining score, and surface roughness score.

[0080] Furthermore, based on the weight ratio of each production stage, a weighted scoring calculation is performed on the molding process score, sintering process score, machining score, and surface roughness score to obtain the current finished product process evaluation score of the wind bag. The finished product process evaluation score is then compared with a third preset threshold for judgment.

[0081] In one embodiment, a scoring matrix is ​​used to calculate the weighted scores for each production stage, namely molding process score, sintering process score, machining score, and surface roughness score, based on the weight ratio of each production stage. Finally, the finished product process evaluation score of the current windbag is obtained. Only when the score of the entire production process meets the requirements can the corresponding finished windbag be considered a good product.

[0082] As a feasible implementation method, the basis for weight allocation mainly includes the following aspects:

[0083] (1) Complexity of the production process: Complexity refers to the technical difficulty of implementing a certain production process, including equipment requirements, operating skills, and process parameter control. The higher the complexity, the greater the weight, because the process has a greater impact on the quality of the final product. Molding processes may require precise control of temperature, pressure, and time, so they are highly complex and have a large weight.

[0084] (2) Importance of Production Processes: Importance refers to the degree of influence of a certain production process on the quality of the final product. The higher the importance, the greater the weight, because the process quality of that process directly determines the performance of the product. The sintering process has a decisive influence on the strength and durability of the wind bladder, so its importance is relatively high and its weight is relatively large.

[0085] (3) Process quality requirements: Process quality requirements refer to the quality standards that a certain production stage needs to meet. The higher the quality requirements, the greater the weight usually is, because the quality fluctuations in this stage have a greater impact on the final product. Surface roughness has a significant impact on the airtightness and appearance of the airbag, therefore its quality requirements are high and its weight is relatively large.

[0086] (4) Historical Data Analysis: By analyzing historical production data, the actual impact of each stage on the final product quality is determined. Historical data can reflect the impact of quality fluctuations at each stage on the finished product pass rate, thus providing a basis for weight allocation. If historical data shows that quality fluctuations at the machining stage have a significant impact on the finished product pass rate, its weight should be increased accordingly.

[0087] (5) Expert Experience: Based on the understanding and experience of process experts in the production process, the weight of each step is determined. Expert experience can compensate for insufficient data and provide a more reasonable weight allocation scheme. Process experts may believe that the sintering process has the greatest impact on the performance of the airbag, and therefore assign it a higher weight.

[0088] In one embodiment, the specific process of weight allocation typically includes the following steps:

[0089] (1) Determine the evaluation indicators: Determine the main indicators used to evaluate the weight of each link, such as complexity, importance, process quality requirements, etc.

[0090] (2) Data collection and analysis: Collect historical production data, process parameter data, quality inspection data, etc., and analyze the impact of each link on the final product quality.

[0091] (3) Expert evaluation: Invite process experts to evaluate the complexity, importance, and process quality requirements of each step. Evaluation can be conducted using the Analytic Hierarchy Process (AHP) or other multi-criteria decision-making methods.

[0092] (4) Weight Calculation: Based on expert scores and data analysis results, weight calculation methods (such as AHP, entropy weight method, principal component analysis, etc.) are used to calculate the weight of each stage. Analytic Hierarchy Process (AHP): The relative weight of each stage is calculated by constructing a judgment matrix. Entropy weight method: The objective weight of each stage is calculated based on the information entropy of the data. Principal component analysis: The main influencing factors are extracted and their weights are calculated through dimensionality reduction analysis.

[0093] (5) Weight allocation: The calculated weights are normalized to ensure that the sum of all weights is 1. Finally, the weight ratio of each link is obtained.

[0094] In one embodiment: the wind bag manufacturing process includes four stages: molding, sintering, machining, and surface roughening treatment. The specific process of weight allocation is as follows:

[0095] (1) Determine the evaluation indicators: complexity, importance, and process quality requirements.

[0096] (2) Data collection and analysis: Collect historical production data and analyze the impact of each link on the finished product qualification rate.

[0097] (3) Expert Scoring: Regarding molding, sintering, machining, and surface roughness, the scoring ratio can be based on the following: complexity: 8:9:7:6; importance: 9:10:8:7; and process quality requirements: 8:9:7:8.

[0098] (4) Weight Calculation: The Analytic Hierarchy Process (AHP) is used to calculate the weights: a judgment matrix is ​​constructed, the weight vector is calculated, and a consistency check is performed. Assume the final calculated weights are as follows: Molding process: 30%, Sintering process: 40%, Machining: 20%, Surface roughness: 10%.

[0099] (5) Weighting: Normalize the weights to ensure that the sum is 100%.

[0100] Then, a weighted scoring calculation is performed. After obtaining the weight of each step, a weighted scoring calculation is performed based on the process score of each step (such as molding process score, sintering process score, etc.) to finally obtain the finished product process evaluation score. The calculation formula is as follows: Finished product process evaluation score = ∑i=1n(weight of step i × score of step i) Finished product process evaluation score = i=1∑n(weight of step i × score of step i). For example: Molding process score: 85 points, weight 30%; Sintering process score: 90 points, weight 40%; Machining score: 80 points, weight 20%; Surface roughness score: 75 points, weight 10%, then the finished product process evaluation score is: 85×0.3+90×0.4+80×0.2+75×0.1=85.5

[0101] If the finished product process evaluation score is greater than or equal to the third preset threshold, then the windbag corresponding to the finished product process evaluation score is determined as the finished windbag to be tested. In other words, 85.5 of the finished product process evaluation score can be compared with the third preset threshold (which can be obtained by methods such as expert scoring).

[0102] Furthermore, a sealing and pressure holding test is conducted on the finished airbag to be tested. If the sealing and pressure holding test is passed, the finished airbag to be tested is determined to be the final qualified airbag. The final qualified airbag is then stored in the warehouse for use in the airbag pump assembly stage.

[0103] In addition, embodiments of this application also provide a process monitoring device for a wind bag pump, such as... Figure 2 As shown, the airbag process monitoring equipment 200 used for the airbag pump specifically includes:

[0104] At least one processor 201. And a memory 202 communicatively connected to the at least one processor 201. The memory 202 stores instructions executable by the at least one processor 201, enabling the at least one processor 201 to execute:

[0105] By comparing the current pressure operating data with the historical pressure operating data in the molding equipment to reduce the pressure, the molding process data is obtained.

[0106] Based on the molding process data, the sintered wind bag finished product is scanned in multiple dimensions to obtain sintering process data;

[0107] Based on the sintering process data, the consistency parameters of the machined windbag finished product are compared under the standard model to determine the machining data.

[0108] Based on machining data, the surface roughness of the inside and outside of the pipe of the machined wind bag is detected to obtain surface roughness data.

[0109] The molding process data, sintering process data, machining data, and surface roughness data are weighted and scored to obtain the finished product process evaluation score of the wind bag.

[0110] This application analyzes the stability and trends of the molding process by comparing current and historical pressure operating data of the molding equipment, which helps to identify process problems in a timely manner. It also provides more comprehensive and detailed sintering process data, which helps to more accurately assess the quality of the sintering process.

[0111] This ensures that the machined airbags meet design requirements, improving product precision and consistency. Inspecting the surface roughness of the machined airbags guarantees surface quality, reduces fluid resistance, and improves pump efficiency and lifespan. Furthermore, weighted scoring of data from molding, sintering, machining, and surface roughness provides a comprehensive finished product process evaluation score, helping manufacturers better understand the overall product quality. It also enables timely problem identification and resolution, reducing downtime and improving production efficiency.

[0112] The various embodiments in this application are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments for devices and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0113] The devices and media provided in this application are one-to-one with the methods. Therefore, the devices and media also have similar beneficial technical effects as 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 repeated here.

[0114] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied 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.

[0115] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0116] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0117] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, 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, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0118] The foregoing has described specific embodiments of this application. In some cases, the described actions or steps may be performed in a different order than those shown in the embodiments and the desired results may still be achieved. Furthermore, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0119] The above description is merely an embodiment of this application and is not intended to limit this application. For those skilled in the art, various modifications and variations can be made to the embodiments of this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the embodiments of this application should be included within the scope of this specification.

Claims

1. A bag process monitoring method for a bag pump, characterized by, The method comprises: comparing and attenuating the current pressure operation data in the molding equipment with the historical pressure operation data to obtain molding process data; based on the molding process data, the wind bag sintered product is subjected to multi-dimensional scanning processing to obtain sintering process data, specifically including: after determining the molding process data, starting the rotary PTFE sintering furnace; through the rotary PTFE sintering furnace, the wind bag is subjected to PTFE product protective forming sintering to obtain the wind bag sintered product; through the preset two-dimensional test projector, the wind bag sintered product is subjected to two-dimensional scanning projection related to the front and upper surface of the product to obtain a two-dimensional shadow contour map; the two-dimensional shadow contour map is compared and judged with a standard wind bag shadow contour map to obtain a two-dimensional shadow contour result; wherein the two-dimensional shadow contour result includes a contour consistent result and a contour inconsistent result; if the two-dimensional shadow contour map is the contour inconsistent result, the wind bag sintered product is marked as an unqualified sintered product and is transported into a defective product collection box; if the two-dimensional shadow contour map is the contour consistent result, the wind bag sintered product is marked as a qualified product, and through the preset three-dimensional test projector, the wind bag sintered product is subjected to three-dimensional scanning projection to determine three-dimensional sintered product structure data; the three-dimensional sintered product structure data is compared and judged with standard wind bag structure data to determine the sintering process data, specifically including: the three-dimensional sintered product structure data is subjected to three-dimensional structure overlapping processing with the standard wind bag structure data to obtain overlapping three-dimensional structure data; the non-overlapping area in the overlapping three-dimensional structure data is subjected to labeling processing to obtain a non-overlapping structure area; based on the three-dimensional structure color difference between the three-dimensional sintered product structure data and the standard wind bag structure data, the non-overlapping structure area is subjected to structure area division to obtain a sintered product structure hyperplasia area and a standard wind bag structure deficiency area; the standard wind bag structure deficiency area is subjected to area volume calculation to obtain structure deficiency area volume data; the sintered product structure hyperplasia area is subjected to area volume calculation to obtain structure hyperplasia area volume data; the structure deficiency area volume data and the structure hyperplasia area volume data are subjected to threshold value judgment; if the numerical value of the structure deficiency area volume data is less than a first preset threshold value and the numerical value of the structure hyperplasia area volume data is less than a second preset threshold value, the wind bag sintered product is determined as a qualified sintered product; and based on the structure hyperplasia area volume data and the structure hyperplasia area volume data, the sintering process data of the wind bag sintered product is determined; otherwise, the wind bag sintered product is determined as the unqualified sintered product and is transported into the defective product collection box; according to the sintering process data, the machined wind bag machined product is subjected to consistency parameter comparison based on a standard model to determine machining data; based on the machining data, the wind bag machined product is subjected to surface roughness detection inside and outside the pipeline to obtain surface roughness data; The mold pressing process data, the sintering process data, the machining data and the surface roughness data are subjected to a weighted score calculation to obtain a finished product process evaluation score of the air bag.

2. A process monitoring method for a bellows pump according to claim 1, characterized in that, The current pressure operation data in the mold pressing equipment is compared with the historical pressure operation data to obtain the mold pressing process data, which specifically includes: Based on the preset mold pressing process parameters, the current pressure operation data is obtained by real-time collection of a plurality of pressure operation parameters in the mold pressing equipment, wherein the current pressure operation data at least includes equipment pressure data, pressure holding time data and pressure holding feed amount data; According to the mold pressing process parameters, the historical process parameters of the air bag process system are queried and processed to obtain the historical pressure operation data collected in the historical period and the historical collection time node; Based on the historical collection time node, the historical pressure operation data is arranged in time sequence to obtain the historical pressure operation period data; The historical pressure operation period data is subjected to curve analysis to obtain equipment pressure loss trend data; wherein the horizontal coordinate of the curve is the historical collection time node, and the vertical coordinate of the curve is the historical pressure operation data; According to the equipment pressure loss trend data, the current pressure operation data is subjected to trend prediction within a period of time to obtain predicted pressure operation data; The predicted pressure operation data is compared with the standard pressure operation data; If the predicted pressure operation data conforms to the standard pressure operation data, the current pressure operation data is determined as the mold pressing process data of the mold pressing equipment in the current production period; If the predicted pressure operation data does not conform to the standard pressure operation data, the mold pressing equipment is subjected to re-calibration of the relevant pressure operation data so that the re-calibrated predicted pressure operation data conforms to the standard pressure operation data, and the re-calibrated current pressure operation data is determined as the mold pressing process data.

3. A process monitoring method for a bellows pump according to claim 1, characterized in that, According to the sintering process data, the machining data of the air bag machining finished product is determined based on the consistency parameter comparison of the standard model, which specifically includes: After obtaining the sintering process data, the air bag sintering finished product is subjected to cutting processing through a tooling mold in a preset numerical control servo system and based on a preset part machining size to obtain the air bag machining finished product; The inner wall of the pipeline of the air bag machining finished product is subjected to straight line continuity detection through a preset infrared range finder to obtain an inner wall straight line detection result; and the outer wall of the pipeline of the air bag machining finished product is subjected to straight line continuity detection to obtain an outer wall straight line detection result; If the inner wall straight line detection result and the outer wall straight line detection result are both detection pass results, the air bag machining finished product is subjected to size detection; wherein the size detection includes: pipeline inner wall diameter size, pipeline outer wall diameter size, pipeline wall thickness and pipeline corrugation pitch; The air bag machining finished product is subjected to random area segmentation processing to obtain a random segmented area; The random segment area is detected in relation to the pipe outer wall diameter size and the pipe corrugation pitch size, to obtain a first detection result; wherein the first detection result further includes a specific pipe outer wall diameter value and a specific pipe corrugation pitch value; If the first detection result is a detection pass result after threshold value judgment, the two ends of the air bag machining product are detected in relation to the pipe inner wall diameter size and the pipe wall thickness, to obtain a second detection result; and when the second detection result is a detection pass result, the air bag machining product is determined as a qualified machining product; wherein the second detection result further includes a pipe inner wall diameter value and a pipe wall thickness value; Based on the first detection result and the second detection result, the machining data is generated.

4. A process monitoring method for a bellows pump according to claim 1, characterized in that, Based on the machining data, the surface roughness of the air bag machining product is detected, to obtain surface roughness data, specifically including: After obtaining the machining data, the air bag machining product is subjected to immersion and circulating washing treatment of foreign matter by a preset washing equipment, to obtain an original air bag product; wherein the cleaning liquid used in the washing equipment is ultrapure water; the foreign matter at least includes burrs and attachments; The outer surface of the original air bag product is subjected to reflected light detection by a preset small aperture gloss meter, to obtain outer surface roughness data; The inner surface of the original air bag product is subjected to quantitative calculation of micro-morphology parameters by a preset surface roughness meter, to obtain inner surface roughness data; If the outer surface roughness data and the inner surface roughness data both meet the preset roughness data, the original air bag product is determined as a to-be-warehoused air bag product; The inner surface roughness data and the outer surface roughness data of the to-be-warehoused air bag product are integrated, to obtain the surface roughness data; wherein the surface roughness data includes outer surface roughness and inner surface roughness.

5. A process monitoring method for a bellows pump according to claim 1, characterized in that, The molding process data, the sintering process data, the machining data and the surface roughness data are subjected to weighted score calculation, to obtain a finished product process evaluation score of the air bag, specifically including: Based on the complexity of each production link in the air bag production process, the weight of each production link is allocated, to obtain the weight proportion of each production link; The molding process data, the sintering process data, the machining data and the surface roughness data are respectively subjected to quality standard degree evaluation calculation under the production process, to obtain a molding process score, a sintering process score, a machining score and a surface roughness score of the current air bag; According to the weight proportion of each production link, the molding process score, the sintering process score, the machining score and the surface roughness score are subjected to weighted score calculation, to obtain the finished product process evaluation score of the current air bag.

6. A process monitoring method for a bellows pump according to claim 1, characterized in that, After the molding process data, the sintering process data, the machining data and the surface roughness data are subjected to weighted score calculation, to obtain the finished product process evaluation score of the air bag, the method further includes: The product process evaluation score is compared with a third preset threshold value; If the product process evaluation score is greater than or equal to the third preset threshold value, the air bag corresponding to the product process evaluation score is determined as a to-be-tested air bag product; The to-be-tested air bag product is subjected to a sealing and pressure maintaining test, and if the sealing and pressure maintaining test is passed, the to-be-tested air bag product is determined as a final qualified air bag product; The final qualified air bag product is subjected to storage processing for calling and assembling in an air bag pump assembly stage.

7. A bellows process monitoring device for a bellows pump, characterized by The device comprises: at least one processor; and a memory connected to the at least one processor in communication; wherein The memory stores instructions executable by the at least one processor to enable the at least one processor to perform a kind of air bag process monitoring method for air bag pump according to any one of claims 1-6.

8. A non-transitory computer storage medium, comprising, The storage medium is a non-volatile computer readable storage medium, and the non-volatile computer readable storage medium stores at least one program, and each program includes instructions which make the terminal execute a kind of air bag process monitoring method for air bag pump according to any one of claims 1-6 when the terminal executes.

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