Air bag process monitoring method and equipment for air bag pump and medium

Abstract

The invention discloses an air bag process monitoring method and equipment for an air bag pump and a medium, belongs to the technical field of air bag pumps, and is used for solving the technical problems that production process monitoring of air bags in an existing air bag pump is mainly manual detection, the quality control process is relatively difficult, and real-time quality monitoring and high-quality air bag production are not facilitated. The method comprises the following steps: comparing and attenuating current pressure operation data and historical pressure operation data in mold pressing equipment to obtain mold pressing process data; performing multi-dimensional scanning processing on the air bag sintering finished product to obtain sintering process data; consistency parameter comparison based on a standard model is carried out on the machined finished product of the air bag after machining, and machining data are determined; detecting the surface roughness inside and outside the pipeline of the machined finished product of the air bag to obtain surface roughness data; and performing decentralization 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 of the air bag.

Description

Technical Field

[0001] This application relates to the field of bladder pumps, and particularly to a bladder process monitoring method, device and medium for a bladder pump. Background Art

[0002] The main components of the bladder pump used in semiconductor wet processes are the bladder (also known as the bellows) and the check valve, and compressed air is used as the driving force of the bladder pump. The bladder pump adjusts the volume by the expansion and contraction of the internal bladder, realizing the suction and discharge of liquid. When the compressed air pressure on one side of the bladder pump rises and squeezes the bladder, the internal volume of the bladder decreases, the pressure inside the bladder increases, and thus the liquid is squeezed out. The bladder on the other side is stretched, the internal volume of the bladder increases, the pressure in the cavity drops, presenting a negative pressure state, and liquid is sucked in from the outside. The two bladders of the bladder pump work alternately, and the liquid can be continuously discharged. Due to the principle of the bladder pump, the flow rate and pressure of the liquid discharged by the bladder show certain pulsation characteristics.

[0003] The flow-through components mainly include the bladder, the check valve and the inlet and outlet interfaces. Among them, the bladder (i.e., the bellows) is the core component of the bladder pump. The bladder continuously reciprocates during the whole working process, and stress concentration occurs during the process of elongation and shortening. Long-term operation will cause local fatigue damage. When the deformation of the bladder exceeds the limit of its pressure resistance, excessive deformation or damage will occur. The damage of the bladder will cause the leakage of chemical media, trigger safety accidents, cause the semiconductor machine to stop, cause huge economic losses, and even personal injuries. Therefore, the production process of the bladder needs to be monitored in real time to ensure the quality and qualification rate of each bladder and reduce the failure rate of the bladder pump. Summary of the Invention

[0004] Embodiments of this application provide a bladder process monitoring method, device and medium for a bladder pump, which are used to solve the following technical problems: The production process monitoring of the bladder in the existing bladder pump is mainly manual inspection, and the quality control process is relatively difficult, which is not conducive to real-time quality monitoring and the production of high-quality bladders.

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

[0006] On the one hand, an embodiment of the present application provides a method for monitoring the bladder process of a bladder pump, including: comparing and attenuating the current pressure operation data and the historical pressure operation data in the molding equipment to obtain molding process data; based on the molding process data, performing multi-dimensional scanning processing on the sintered bladder finished product to obtain sintering process data; according to the sintering process data, comparing the consistency parameters of the machined bladder machined finished product based on a standard model to determine machining data; based on the machining data, detecting the surface roughness inside and outside the pipeline of the machined bladder machined finished product to obtain surface roughness data; performing decentralized scoring calculation 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 bladder.

[0007] By comparing the current pressure operation data and the historical pressure operation data of the molding equipment in the embodiment of the present application, the stability and change trend of the molding process can be analyzed, which helps to timely discover process problems. More comprehensive and detailed sintering process data can also be obtained, which helps to more accurately evaluate the quality of the sintering process. It can ensure that the machined bladder machined finished product meets the design requirements, improving the accuracy and consistency of the product. Detecting the surface roughness of the machined bladder machined finished product can ensure the surface quality of the product, reduce fluid resistance, and improve the efficiency and lifespan of the pump. At the same time, performing decentralized scoring calculation on data in multiple aspects such as molding, sintering, machining, and surface roughness can provide a comprehensive finished product process evaluation score, helping manufacturers better understand the overall quality of the product. And it can also timely discover and solve problems, reduce downtime, and improve production efficiency.

[0008] In a feasible implementation manner, the current pressure operation data and the historical pressure operation data in the molding equipment are compared and attenuated to obtain the molding process data, which specifically includes: based on the preset molding process parameters, real-time collection of data on various pressure operation parameters in the molding equipment to obtain the current pressure operation data; 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 molding process parameters, query processing of historical process parameters of the airbag process system is performed to obtain the historical pressure operation data collected in the historical period and the historical collection time nodes; based on the historical collection time nodes, the historical pressure operation data is arranged in time sequence to obtain historical pressure operation cycle data; the historical pressure operation cycle data is subjected to curve analysis to obtain equipment pressure loss trend data; wherein, the abscissa of the curve is the historical collection time node, and the ordinate of the curve is the historical pressure operation data; according to the equipment pressure loss trend data, trend prediction of the current pressure operation data within the cycle time is performed 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 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 molding equipment is re-calibrated for the relevant pressure operation data so that the calibrated predicted pressure operation data conforms to the standard pressure operation data, and the calibrated current pressure operation data is determined as the molding process data.

[0009] In a feasible implementation manner, based on the molding process data, the sintered airbag finished product is subjected to multi-dimensional scanning processing to obtain the sintering process data, specifically including: after determining the molding process data, starting a rotary PTFE sintering furnace; through the rotary PTFE sintering furnace, performing protective molding sintering on the airbag to obtain the sintered airbag finished product; through a preset two-dimensional test projector, performing two-dimensional scanning projection on the sintered airbag finished product regarding the front and top of the finished product to obtain a two-dimensional shadow contour map; comparing and judging the contour of the two-dimensional shadow contour map with the standard airbag 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, marking the sintered airbag finished product as a non-conforming sintered product and transporting it to a defective product collection box; if the two-dimensional shadow contour map is the contour consistent result, marking the sintered airbag finished product as a qualified product, and through a preset three-dimensional test projector, performing three-dimensional scanning projection on the sintered airbag finished product to determine the three-dimensional sintered product structure data; comparing the three-dimensional sintered product structure data with the standard airbag structure data to determine the sintering process data.

[0010] In a feasible implementation manner, comparing the three-dimensional sintered product structure data with the standard airbag structure data to determine the sintering process data, specifically including: performing three-dimensional structure overlapping processing on the three-dimensional sintered product structure data and the standard airbag structure data to obtain overlapping three-dimensional structure data; performing marking processing on the non-overlapping regions in the overlapping three-dimensional structure data to obtain non-overlapping structure regions; based on the three-dimensional structure color difference between the three-dimensional sintered product structure data and the standard airbag structure data, dividing the non-overlapping structure regions to obtain a sintered product structure proliferation region and a standard airbag structure missing region; calculating the volume of the standard airbag structure missing region to obtain structure missing region volume data; calculating the volume of the sintered product structure proliferation region to obtain structure proliferation region volume data; performing threshold judgment on the structure missing region volume data and the structure proliferation region volume data; if the value of the structure missing region volume data is less than a first preset threshold and the value of the structure proliferation region volume data is less than a second preset threshold, determining the sintered airbag finished product as a qualified sintered finished product; and based on the structure proliferation region volume data and the structure proliferation region volume data, determining the sintering process data of the sintered airbag finished product; otherwise, determining the sintered airbag finished product as the non-conforming sintered product and transporting it to a defective product collection box.

[0011] In a feasible implementation manner, according to the sintering process data, the machined finished product of the airbag is subjected to a consistency parameter comparison under a standard model to determine the machining data, which specifically includes: after obtaining the sintering process data, through a tooling die in a preset numerical control servo system and based on a preset part machining size, the sintered finished product of the airbag is subjected to cutting treatment to obtain the machined finished product of the airbag; through a preset infrared rangefinder, a linear continuity detection is performed on the inner wall of the pipeline of the machined finished product of the airbag to obtain an inner wall linearity detection result; and a linear continuity detection is performed on the outer wall of the pipeline of the machined finished product of the airbag to obtain an outer wall linearity detection result; if both the inner wall linearity detection result and the outer wall linearity detection result are detection passed results, then a dimension detection is performed on the machined finished product of the airbag; wherein, the dimension detection includes: the inner diameter dimension of the pipeline, the outer diameter dimension of the pipeline, the pipeline wall thickness, and the pipeline corrugation spacing; the machined finished product of the airbag is subjected to random area segmentation to obtain random segmentation areas; a dimension detection of the random segmentation areas is performed on the outer diameter dimension of the pipeline and the pipeline corrugation spacing to obtain a first detection result; wherein, the first detection result further includes specific outer diameter values of the pipeline and specific pipeline corrugation spacing values; if the first detection result is a detection passed result after threshold judgment, then a dimension detection of the two ends of the machined finished product of the airbag is performed on the inner diameter dimension of the pipeline and the pipeline wall thickness to obtain a second detection result; and when the second detection result is a detection passed result, the machined finished product of the airbag is determined to be a qualified machined finished product; wherein, the second detection result further includes the inner diameter value of the pipeline and the pipeline wall thickness value; based on the first detection result and the second detection result, the machining data is generated.

[0012] In a feasible implementation, based on the machining data, the surface roughness of the inner and outer surfaces of the finished product of the air bag machine is detected to obtain surface roughness data, which specifically includes: after obtaining the machining data, the finished product of the air bag machine is soaked and circulatedly rinsed with foreign matter through a preset flushing device to obtain an original air bag product; wherein the cleaning liquid used in the flushing device is ultrapure water; the foreign matter includes at least burrs and attachments; through a preset small-aperture gloss meter, the outer surface of the original air bag product is detected by reflected light to obtain outer surface roughness data; through a preset surface roughness meter, the inner surface of the original air bag product is quantitatively calculated 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 the air bag product to be stored; the inner surface roughness data and the outer surface roughness data of the air bag product to be stored are integrated to obtain the surface roughness data; wherein the surface roughness data includes outer surface roughness and inner surface roughness.

[0013] In a feasible implementation manner, 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 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, a weight is assigned to each of the production links to obtain a weight ratio of each of the production links; the molding process data, the sintering process data, the machining data and the surface roughness data are evaluated and calculated under the production process for the quality standard to obtain the molding process score, sintering process score, machining score and surface roughness score of the current air bag; according to the weight ratio of each of the production links, a weighted scoring calculation is performed on the molding process score, the sintering process score, the machining score and the surface roughness score to obtain the finished product process evaluation score of the current air bag.

[0014] In a feasible implementation, after performing weighted scoring calculation 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 air bag, the method further includes: comparing and judging 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, determining the air bag corresponding to the finished product process evaluation score as the finished air bag product to be tested; performing a sealing and pressure holding test on the finished air bag product to be tested, and if the sealing and pressure holding test passes, determining the finished air bag product to be tested as the final qualified air bag product; and storing the final qualified air bag product in a warehouse for call and assembly in the air bag pump assembly stage.

[0015] Second aspect, an embodiment of the present application further provides a balloon process monitoring device for a balloon pump. The device includes: 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, so that the at least one processor can execute a balloon process monitoring method for a balloon pump according to any one of the above embodiments.

[0016] Third aspect, an embodiment of the present application further provides a non-volatile computer storage medium, characterized in that 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, and when the instructions are executed by a terminal, the terminal executes a balloon process monitoring method for a balloon pump according to any one of the above embodiments.

[0017] The present application provides a balloon process monitoring method, device and medium for a balloon pump. Compared with the prior art, the embodiments of the present application have the following beneficial technical effects:

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

[0019] 2. By performing multi-dimensional scanning processing on the sintered finished product of the balloon, more comprehensive and detailed sintering process data can be obtained, which helps to more accurately evaluate 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 finished product of the balloon meets the design requirements, improving the accuracy and consistency of the product.

[0021] 4. Detecting the surface roughness of the machined finished product of the balloon can ensure the surface quality of the product, reduce fluid resistance, and improve the efficiency and lifespan of the pump.

[0022] 5. By performing decentralized scoring calculations on data in multiple aspects such as molding, sintering, machining, and surface roughness, a comprehensive finished product process evaluation score can be provided to help manufacturers better understand the overall quality of the product.

[0023] 6. By real-time monitoring and evaluating process data, problems can be discovered and solved in a timely manner, 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 reducing production costs.

[0025] 8. By monitoring and evaluating key process parameters, the reliability and durability of the product can be improved to meet more stringent application requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments recorded in the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings. In the drawings:

[0027] Figure 1 is a flowchart of a method for monitoring the bellows process of a bellows pump provided by an embodiment of the present application;

[0028] Figure 2 is a schematic structural diagram of a bellows process monitoring device for a bellows pump provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0029] In order to enable those skilled in the art to better understand the technical solutions in the present application, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments of this specification, 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.

[0030] It should be noted that in the drive mechanism of the bellows pump, air cavities are formed among components such as the bellows (bellows pipe), cylinder liner, and side plate. Sealing rings are used to seal between each component to ensure that compressed air does not leak, which can provide sufficient pressure for the bellows pump. The bellows is connected to the connecting plate and the pin shaft, the pin shaft is connected to the pull plate nut, and the two-sided pull plates are connected by a pull rod, so as to realize the linkage of one side of the bellows being compressed and the other side being stretched.

[0031] The main production process of the bellows in the bellows pump involves molding, sintering, machining, inspection, cleaning, assembly, testing, and warehousing, etc. In the assembly stage, the product is assembled according to the operation instruction manual of the bellows pump. After assembly, the product is subjected to a seal pressure test again, and finally the qualified product is warehoused. All the above ultra-clean cleaning, assembly, and testing are completed in a clean workshop. The tools and containers used in the testing process must meet the requirements of ultra-cleanliness.

[0032] An embodiment of the present application provides a method for monitoring the bellows process of a bellows pump, as Figure 1 shown, the method specifically includes steps S101 - S105:

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

[0034] Specifically, based on the preset molding process parameters, perform real-time data acquisition on various pressure operation parameters in the molding equipment to obtain the current pressure operation data. Among them, the current pressure operation data at least includes: equipment pressure data, pressure holding time data, and pressure holding feed amount data.

[0035] Furthermore, according to the molding process parameters, query the historical process parameters of the airbag process system to obtain the historical pressure operation data collected in the historical cycle and the historical acquisition time nodes.

[0036] Furthermore, based on the historical acquisition time nodes, arrange the historical pressure operation data in time sequence to obtain the historical pressure operation cycle data. Analyze the historical pressure operation cycle data by curve to obtain the equipment pressure loss trend data. Among them, the abscissa of the curve is the historical acquisition time node, and the ordinate of the curve is the historical pressure operation data.

[0037] Furthermore, according to the equipment pressure loss trend data, perform trend prediction on the current pressure operation data within the cycle time to obtain the predicted pressure operation data. Compare the predicted pressure operation data with the standard pressure operation data.

[0038] If the predicted pressure operation data conforms to the standard pressure operation data, then determine the current pressure operation data 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, then recheck the pressure operation data related to the molding equipment so that the predicted pressure operation data after rechecking conforms to the standard pressure operation data, and determine the current pressure operation data after rechecking as the molding process data.

[0039] As a feasible implementation method, by using the equipment pressure loss trend data, it can be judged that in actual production, due to the increase in the continuous use time cycle, there will be a certain error in the pressure operation parameters actually controlled by the machine, that is, there is an actual pressure loss. By judging whether the predicted pressure operation data conforms to the standard pressure operation data, it can be obtained whether the molding equipment has good performance in the current production cycle. If it does not meet the standard, it needs to be adjusted in time. At the same time, it also avoids frequent adjustments and problems such as reducing production efficiency. At the same time, the molding process data corresponding to the current pressure operation data will also be recorded, which is beneficial to the overall monitoring and scoring of the airbag production process in the airbag pump later.

[0040] S102. Based on the molding process data, perform multi-dimensional scanning on the sintered airbag finished products to obtain the sintering process data.

[0041] It should be noted that in the sintering stage, a rotary PTFE sintering furnace can be used, which is mainly used for the protective forming sintering of PTFE products. The inner liner and material tray of the oven are made of stainless steel, with intelligent program instrument temperature control. The material workpieces rotate smoothly, with high control precision, uniform sintering temperature, and high finished product rate.

[0042] Specifically, after determining the die pressing process data, start the rotary PTFE sintering furnace. Through the rotary PTFE sintering furnace, carry out the protective forming sintering of the airbag as a PTFE product to obtain the sintered finished product of the airbag.

[0043] Furthermore, through a preset two-dimensional test projector, perform two-dimensional scanning projection on the sintered finished product of the airbag regarding the front and top of the finished product to obtain a two-dimensional shadow contour map. Compare and judge the contour of the two-dimensional shadow contour map with the standard airbag shadow contour map to obtain the two-dimensional shadow contour result. Among them, the two-dimensional shadow contour result includes: a contour consistent result and a contour inconsistent result.

[0044] If the two-dimensional shadow contour map is a contour inconsistent result, mark the sintered finished product of the airbag as a non-conforming sintered product and transport it to the defective product collection box. If the two-dimensional shadow contour map is a contour consistent result, mark the sintered finished product of the airbag as a qualified product, and through a preset three-dimensional test projector, perform three-dimensional scanning projection on the sintered finished product of the airbag to determine the three-dimensional sintered product structure data.

[0045] As a feasible implementation method, first perform the first detection of the two-dimensional shadow contour of the sintered finished product of the airbag, which can quickly identify the sintered finished products with large defects. At the same time, the system calculation amount is low, which can greatly improve the identification efficiency, so as to quickly complete the subsequent scanning and generation of the three-dimensional sintered product structure data.

[0046] Furthermore, perform three-dimensional structure overlapping processing on the three-dimensional sintered product structure data and the standard airbag structure data to obtain the overlapping three-dimensional structure data. Perform marking processing on the non-overlapping regions in the overlapping three-dimensional structure data to obtain the non-overlapping structure regions. Based on the three-dimensional structure color difference between the three-dimensional sintered product structure data and the standard airbag structure data, divide the non-overlapping structure regions to obtain the sintered product structure proliferation region and the standard airbag structure missing region.

[0047] Furthermore, calculate the regional volume of the standard airbag structure missing region to obtain the structure missing region volume data. Calculate the regional volume of the sintered product structure proliferation region to obtain the structure proliferation region volume data. Then, it is necessary to perform threshold judgment on the structure missing region volume data and the structure proliferation region volume data.

[0048] If the numerical value of the volume data of the structural missing area is less than the first preset threshold and the numerical value of the volume data of the structural hyperplasia area is less than the second preset threshold, the sintered airbag product is determined to be a qualified sintered product. And based on the volume data of the structural hyperplasia area and the volume data of the structural hyperplasia area, the sintering process data of the sintered airbag product is determined. Otherwise, the sintered airbag product is determined to be an unqualified sintered product and conveyed to the defective product collection box.

[0049] As a feasible implementation, first perform three-dimensional structure overlapping processing on the three-dimensional sintered product structure data and the standard airbag structure data to obtain the overlapping three-dimensional structure data. It is possible to utilize the color difference between non-overlapping structural areas to complete each non-overlapping structural area. Thus, according to the respective original colors of the three-dimensional sintered product structure data and the standard airbag structure data, it is possible to very significantly divide the structural areas of non-overlapping structural areas. Finally, the structural hyperplasia area of the sintered product (the area in the three-dimensional sintered product structure data that is higher than the standard airbag structure data) and the standard airbag structural missing area (the area in the three-dimensional sintered product structure data that is lower than the standard airbag structure data). After using the threshold judgment of the volume data of the structural hyperplasia area and the volume data of the structural missing area, it is possible to judge unqualified sintered products and qualified sintered products, thereby completing the quality monitoring of the sintering process and further improving the overall airbag qualification rate.

[0050] In one embodiment, the first preset threshold (structural missing area volume): is used to determine whether there is unacceptable material loss (such as pores, depressions, etc.) in the sintered product. If the missing volume exceeds the threshold, the function or strength may be impaired. The second preset threshold (structural hyperplasia area volume): is used to determine the excessive material hyperplasia (such as protrusions, burrs, etc.) of the sintered product. If the hyperplasia volume exceeds the threshold, it may affect the assembly accuracy or appearance.

[0051] In one embodiment, 1. For product design requirements and function verification:

[0052] Design tolerance: According to the design drawings and functional requirements of the airbag, determine the allowable deviation range of geometric dimensions of key parts. For example, through finite element analysis (FEA) to simulate the stress distribution of the airbag under the stress state, and deduce the maximum allowable volume of the missing / hyperplasia area. Functional test: Determine the threshold through destructive experiments (such as sealing test, fatigue test). For example, gradually increase the sample test with the missing volume until the performance is unqualified, and this critical value is the first threshold.

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

[0054] PTFE shrinkage rate: During the sintering process of PTFE, volume changes occur due to thermal expansion and cooling shrinkage. Thresholds need to be set in combination with the material properties. For example, if the standard shrinkage rate of the material is ±2%, the threshold should cover this fluctuation range. Process capability index (Cpk): Statistically analyze the distribution of missing / growth volumes in historical production data, and determine the natural process fluctuation range based on the 6σ principle (±3σ). 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 general standards: Refer to the quality control standards for similar PTFE products (such as the dimensional tolerance requirements for PTFE molded parts in ASTM D4894). Customer specific requirements: If the airbag is used in high-precision scenarios (such as medical devices), customers may put forward more stringent volume tolerance requirements.

[0057] 4. Regarding measurement system error (MSA): Considering the measurement error of the 3D projector (such as ±0.1% volume accuracy), the threshold needs to 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, pressure-bearing capacity), assembly requirements (such as the matching clearance with adjacent components), and customer quality standards. Then, design of experiments (DOE) is carried out to prepare samples with different missing / growth volumes, conduct functional tests, and record the failure critical values. A relationship model between volume deviation and performance is established through regression analysis to determine the threshold boundaries. Next, process capability assessment is performed, and the distribution data of missing / growth volumes in mass production (such as mean value, standard deviation) is statistically analyzed to calculate the Cpk value. If the current process capability is insufficient (Cpk < 1.0), the process needs to be optimized or the threshold needs to be relaxed. Finally, threshold verification and iteration: Apply the threshold in trial production, track the qualified rate and customer complaint rate, and dynamically adjust the threshold. Introduce a safety factor (such as threshold = critical value × 0.8) to cope with uncontrollable fluctuations.

[0059] As a feasible implementation method, the first threshold (missing volume): If the minimum wall thickness of the airbag is 2 mm, and a missing area volume exceeding 1 mm3 may cause the local wall thickness to be < 1.5 mm (the lower limit of the design requirement), then the first threshold is set to 1 mm3. The second threshold (growth volume): If the assembly clearance between the airbag and adjacent components is 0.5 mm, and a growth volume exceeding 0.3 mm3 may cause interference, then the second threshold is set to 0.3 mm3.

[0060] S103. According to the sintering process data, compare the consistency parameters of the machined airbag finished product with the standard model to determine the machining data.

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

[0062] Specifically, after obtaining the sintering process data, that is, after the inspection in the previous link passes, the sintered finished product of the airbag is machined using the tooling and molds in the preset numerical control servo system and based on the preset part machining dimensions to obtain the machined finished product of the airbag.

[0063] As a feasible implementation method, the tooling and molds are a kind of equipment used in the manufacturing industry. It is a tool specifically designed for manufacturing industrial products. This kind of tool is usually made of high-strength and durable materials to withstand the pressure and wear of repeated use and machining without being damaged. The tooling and molds usually consist of multiple technologies such as machinery, electronics, and hydraulics, and can be pre-designed, tested, and programmed to ensure efficient production capacity and product quality.

[0064] Furthermore, through a preset infrared rangefinder, a linear continuity detection is performed on the inner wall of the pipeline of the machined finished product of the airbag to obtain the inner wall linearity detection result. And a linear continuity detection is performed on the outer wall of the pipeline of the machined finished product of the airbag to obtain the outer wall linearity detection result.

[0065] If both the inner wall linearity detection result and the outer wall linearity detection result are passed inspection results, then a dimensional inspection is performed on the machined finished product of the airbag. Among them, the dimensional inspection includes: the inner wall diameter dimension of the pipeline, the outer wall diameter dimension of the pipeline, the pipeline wall thickness, and the pipeline corrugation spacing.

[0066] Furthermore, the machined finished product of the airbag is randomly segmented into regions to obtain random segmented regions. A dimensional inspection regarding the outer wall diameter dimension of the pipeline and the pipeline corrugation spacing is performed on the random segmented regions to obtain a first inspection result. Among them, the first inspection result also includes the outer wall diameter value of the pipeline and the pipeline corrugation spacing value.

[0067] If the first inspection result is a passed inspection result after threshold judgment, then a dimensional inspection regarding the inner wall diameter dimension of the pipeline and the pipeline wall thickness is performed on both ends of the machined finished product of the airbag to obtain a second inspection result. And when the second inspection result is a passed inspection result, the machined finished product of the airbag is determined to be a qualified machined finished product. Among them, the second inspection result also includes the inner wall diameter value of the pipeline and the pipeline wall thickness value.

[0068] In one embodiment, an infrared rangefinder is used to accurately detect the outer diameter value of the pipeline wall and the pipeline corrugation spacing value first. Since the detection method for this part is relatively convenient and can quickly complete scanning and measurement, it is also a prerequisite for subsequent internal detection. Only when the first detection result passes can the detection of the inner diameter size of the pipeline and the wall thickness of the pipeline wall at both ends of the machined product of the air bag machine be started. Only when both the first detection result and the second detection result pass can the machined product of the air bag machine be determined as a qualified machined product.

[0069] Further, after integrating and storing the first detection result and the second detection result, machining data is finally generated.

[0070] S104. Based on the machining data, perform surface roughness detection on the inner and outer surfaces of the machined product of the air bag machine to obtain surface roughness data.

[0071] Specifically, after obtaining the machining data, the machined product of the air bag machine is subjected to soaking and circulating flushing treatment for foreign matters through a preset flushing device to obtain the original air bag product. Among them, the cleaning liquid used in the flushing device is ultrapure water. The foreign matters at least include burrs and attachments.

[0072] Further, through a preset small-aperture glossmeter, perform reflected light detection on the outer surface of the original air bag product to obtain outer surface roughness data. Through a preset surface roughness meter, perform quantitative calculation on the inner surface of the original air bag product for micro-topography parameters to obtain inner surface roughness data.

[0073] In one embodiment, tools such as a small-aperture glossmeter are used to measure the gloss of the outer surface of a plastic pipeline. Gloss is a main factor affecting the overall visual appearance and is completed by measuring specular reflection through a glossmeter. Usually, glossmeters at different angles such as 20 degrees, 60 degrees, and 85 degrees are used. Then, using a surface roughness meter: evaluate the roughness by measuring the roughness of the inner surface of the pipeline. A surface roughness meter can be used to quantify the roughness of the surface by detecting the parameters of the surface micro-topography. It can provide more accurate data and is suitable for occasions that require high-precision measurement, that is, it is necessary to ensure the roughness of the inner and outer surfaces of the air bag with high quality, thereby improving the service life of the product and reducing the probability of failure.

[0074] If both the outer surface roughness data and the inner surface roughness data meet the preset roughness data, the original air bag product is determined as the air bag product to be warehoused.

[0075] Further, integrate the inner surface roughness data and the outer surface roughness data of the air bag product to be warehoused to obtain surface roughness data. Among them, the surface roughness data includes outer surface roughness and inner surface roughness.

[0076] As a feasible implementation, it is also necessary to record the inner surface roughness data and the outer surface roughness data of the windbag finished products to be warehoused for the scoring of subsequent overall process links, that is, the surface roughness data is one of the scoring quantities for the cleaning link.

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

[0078] Specifically, based on the complexity of each production link in the windbag production process, that is, the importance of each production link and the required process quality of each production link are different, weight distribution is performed on each production link to obtain the weight ratio of each production link.

[0079] Furthermore, perform quality standard evaluation calculations on the molding process data, sintering process data, machining data, and 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.

[0080] Furthermore, according to the weight ratio of each production link, perform decentralized scoring calculations on the molding process score, sintering process score, machining score, and surface roughness score to obtain the finished product process evaluation score of the current windbag. Compare and judge the finished product process evaluation score with the third preset threshold.

[0081] In one embodiment, using a scoring matrix, based on the weight ratio of each production link, perform decentralized scoring calculations on the scores corresponding to each production link, that is, the molding process score, sintering process score, machining score, and surface roughness score, and finally obtain the finished product process evaluation score of the current windbag. Only when the scores of the entire production process meet the requirements, the corresponding windbag finished products are qualified products.

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

[0083] (1) Complexity of the production link: The complexity refers to the difficulty of a certain production link in technical implementation, including equipment requirements, operation skills, process parameter control, etc. The higher the complexity, the usually greater the weight, because this link has a greater impact on the quality of the final product. The molding process may require precise control of temperature, pressure, and time, so its complexity is relatively high and the weight is relatively large.

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

[0085] (3) Process quality requirements: The process quality requirements refer to the quality standards that a certain production link needs to achieve. The higher the quality requirements, the usually greater the weight, because the quality fluctuations of this link have a greater impact on the final product. The surface roughness has an important influence on the airtightness and appearance of the airbag, so its quality requirements are relatively high and the weight is relatively large.

[0086] (4) Historical data analysis: By analyzing historical production data, determine the actual influence of each link on the quality of the final product. Historical data can reflect the influence of quality fluctuations of each link on the qualified rate of finished products, so as to provide a basis for weight allocation. If historical data shows that the quality fluctuations of the machining link have a greater impact on the qualified rate of finished products, then its weight should be increased accordingly.

[0087] (5) Expert experience: Based on the understanding and experience of process experts on production links, determine the weights of each link. Expert experience can make up for the deficiencies of data and provide a more reasonable weight allocation scheme. Process experts may think that the sintering process has the greatest impact on the performance of the airbag, so a relatively high weight is assigned to it.

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

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

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

[0091] (3) Expert scoring: Invite process experts to score the complexity, importance degree, process quality requirements, etc. of each link. The scoring can adopt the Analytic Hierarchy Process (AHP) or other multi-criteria decision-making methods.

[0092] (4) Calculate weights: Based on expert scoring and data analysis results, adopt weight calculation methods (such as AHP method, entropy weight method, principal component analysis method, etc.) to calculate the weights of each link. Analytic Hierarchy Process (AHP): By constructing a judgment matrix, calculate the relative weights of each link. Entropy weight method: Based on the information entropy of data, calculate the objective weights of each link. Principal component analysis method: Through dimensionality reduction analysis, extract the main influencing factors and calculate the weights.

[0093] (5) Weight allocation: Normalize the calculated weights to ensure that the sum of all weights is 1. Finally, obtain the weight ratios for each link.

[0094] In one embodiment: The airbag production process includes four links: molding, sintering, machining, and surface roughness treatment. The specific process of weight allocation is as follows:

[0095] (1) Determine 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 ratios can be based on complexity: 8:9:7:6; importance scoring ratio: 9:10:8:7; process quality requirement scoring: 8:9:7:8

[0098] (4) Calculate weights: Use the Analytic Hierarchy Process (AHP) to calculate weights: Construct a judgment matrix, calculate the weight vector, and conduct a consistency test. Assume that the finally calculated weights are as follows: Molding process: 30%, sintering process: 40%, machining: 20%, surface roughness: 10%.

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

[0100] Then, perform the decentralized scoring calculation. After obtaining the weights of each link, the decentralized scoring calculation can be carried out according to the process scores of each link (such as molding process score, sintering process score, etc.). Finally, obtain the finished product process evaluation score. The calculation formula is as follows: Finished product process evaluation score = ∑i = 1n (weight of link i × score of link i) Finished product process evaluation score = i = 1∑n (weight of link i × score of link 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 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 determine the airbag corresponding to the finished product process evaluation score as the airbag finished product to be tested. That is to say, the 85.5 of the finished product process evaluation score can be numerically compared with the third preset threshold (which can be obtained by methods such as expert scoring).

[0102] Further, perform a sealed pressure-holding test on the finished airbag to be tested. If the sealed pressure-holding test passes, determine the finished airbag to be tested as the final qualified finished airbag. Store the final qualified finished airbag in the warehouse for use and assembly during the airbag pump assembly stage.

[0103] In addition, the embodiment of the present application also provides an airbag process monitoring device for an airbag pump, as Figure 2 shown. The airbag process monitoring device 200 for an airbag pump specifically includes:

[0104] At least one processor 201. And a memory 202 communicatively connected to the at least one processor 201. Among them, the memory 202 stores instructions that can be executed by the at least one processor 201, so that the at least one processor 201 can execute:

[0105] Compare and attenuate the current pressure operation data and historical pressure operation data in the molding equipment to obtain molding process data;

[0106] Based on the molding process data, perform multi-dimensional scanning processing on the sintered airbag finished product to obtain sintering process data;

[0107] According to the sintering process data, compare the consistency parameters of the machined airbag machined finished product based on the standard model to determine the machining data;

[0108] Based on the machining data, perform surface roughness detection on the inner and outer surfaces of the pipeline of the airbag machined finished product to obtain surface roughness data;

[0109] Perform decentralized scoring calculation on the molding process data, sintering process data, machining data, and surface roughness data to obtain the finished product process evaluation score of the airbag.

[0110] By comparing the current pressure operation data and historical pressure operation data of the molding equipment in the present application, the stability and change trend of the molding process can be analyzed, which helps to discover process problems in a timely manner. More comprehensive and detailed sintering process data can also be obtained, which helps to more accurately evaluate the quality of the sintering process.

[0111] It can ensure that the machined airbag machined finished product meets the design requirements, improve the accuracy and consistency of the product. Detecting the surface roughness of the airbag machined finished product can ensure the surface quality of the product, reduce fluid resistance, and improve the efficiency and lifespan of the pump. At the same time, performing decentralized scoring calculation on data in multiple aspects such as molding, sintering, machining, and surface roughness can provide a comprehensive finished product process evaluation score to help manufacturers better understand the overall quality of the product. And it can also discover and solve problems in a timely manner, reduce downtime, and improve production efficiency.

[0112] 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 embodiments of the device and the non-volatile computer storage medium, 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.

[0113] The device and the medium provided by the embodiments of the present application correspond one by one to the method. Therefore, the device and the medium also have beneficial technical effects similar to those of the corresponding method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the device and the medium will not be elaborated here.

[0114] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can 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.

[0115] 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, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the functions specified in Figure 1 one or more flows or multiple flows and / or blocks Figure 1 one or more blocks or multiple blocks.

[0116] The memory may include non-permanent memory in the computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.

[0117] Computer-readable media include both permanent and non-permanent, removable and non-removable media implemented by any method or technology for information storage. 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 discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transitory medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transitory media such as modulated data signals and carrier waves.

[0118] The above describes specific embodiments of the present application. In some cases, the recited actions or steps 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 shown or sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0119] The above are only 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 embodiments of the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the embodiments of the present application should be included within the scope of the specification of the present application.

Claims

1. A method for monitoring the air bag process of an air bag pump, characterized in that: The method comprises: Compare and attenuate the current pressure operation data and the historical pressure operation data in the molding equipment to obtain the molding process data; Based on the molding process data, the finished sintered air bag is subjected to multi-dimensional scanning to obtain sintering process data; According to the sintering process data, the machined air bag machined product is compared with the consistency parameters based on the standard model to determine the machining data; Based on the machining data, the surface roughness of the inner and outer surfaces of the finished product of the air bag machining is tested to obtain surface roughness data; The molding process data, the sintering process data, the machining data and the surface roughness data are weightedly scored to obtain a finished product process evaluation score of the air bag.

2. A bellows process monitoring method for bellows pump according to claim 1, characterized in that: The current pressure operation data in the molding equipment is compared with the historical pressure operation data to obtain the molding process data, including: Based on the preset molding process parameters, real-time data collection is performed on various pressure operation parameters in the molding equipment to obtain the current pressure operation data; wherein the current pressure operation data at least includes: equipment pressure data, holding time data and holding feed amount data; According to the molding process parameters, query and process the historical process parameters of the air bag process system to obtain the historical pressure operation data collected in the historical period and the historical collection time node; Based on the historical collection time nodes, the historical pressure operation data are arranged in time series to obtain historical pressure operation cycle data; Performing curve analysis on the historical pressure operation cycle data to obtain equipment pressure loss trend data; wherein the abscissa of the curve is the historical acquisition time node, and the ordinate of the curve is the historical pressure operation data; According to the equipment pressure loss trend data, a trend forecast is performed on the current pressure operation data within a period of time to obtain forecast pressure operation data; Comparing the predicted pressure operation data with the standard pressure operation data; If the predicted pressure operation data is consistent with 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 so that the calibrated predicted pressure operation data conforms to the standard pressure operation data, and the calibrated current pressure operation data is determined as the molding process data.

3. The method for monitoring the air bag process of an air bag pump according to claim 1, characterized in that: Based on the molding process data, the finished sintered air bag is subjected to multi-dimensional scanning to obtain sintering process data, which specifically includes: After the molding process data is determined, the rotary polytetrafluoroethylene sintering furnace is started; The PTFE product protection molding sintering is performed on the air bag by the rotary PTFE sintering furnace to obtain the sintered air bag product; Through a preset two-dimensional test projector, two-dimensional scanning and projection of the front and top of the finished air bag sintered product are performed to obtain a two-dimensional shadow contour map; Performing contour comparison and judgment on the two-dimensional shadow contour image and the standard wind bag shadow contour image to obtain a two-dimensional shadow contour result; wherein the two-dimensional shadow contour result includes: a contour consistency result and a contour inconsistency result; If the two-dimensional shadow contour image shows that the contour is inconsistent, the finished air bag sintering product is marked as an unqualified sintering product and transported to a defective product collection box; If the two-dimensional shadow contour image is the result of the contour consistency, the finished wind bag sintering product is marked as a qualified product, and the three-dimensional scanning and projection of the finished wind bag sintering product is performed through a preset three-dimensional test projector to determine the three-dimensional sintering product structure data; The three-dimensional sintered product structure data is compared with the standard air bag structure data to determine the sintering process data.

4. The method for monitoring the air bag process of an air bag pump according to claim 3, characterized in that: Comparing the three-dimensional sintered product structure data with the standard air bag structure data to determine the sintering process data specifically includes: Performing three-dimensional structural overlap processing on the three-dimensional sintered product structure data and the standard air bag structure data to obtain overlapped three-dimensional structure data; Performing labeling processing on non-overlapping areas in the overlapping three-dimensional structure data to obtain non-overlapping structure areas; Based on the three-dimensional structural color difference between the three-dimensional sintered product structure data and the standard wind bag structure data, the non-overlapping structure area is divided into structural areas to obtain a sintered product structure proliferation area and a standard wind bag structure missing area; Calculating the volume of the area where the standard wind bag structure is missing to obtain volume data of the area where the structure is missing; Calculating the volume of the structural proliferation region of the sintered product to obtain volume data of the structural proliferation region; Performing threshold determination on the volume data of the structure-missing region and the volume data of the structure-proliferating region; If the value of the volume data of the structure missing area is less than a first preset threshold and the value of the volume data of the structure proliferation area is less than a second preset threshold, the wind bag sintered product is determined as a qualified sintered product; and based on the volume data of the structure proliferation area and the volume data of the structure proliferation area, the sintering process data of the wind bag sintered product is determined; Otherwise, the finished air bag sintered product is determined as the unqualified sintered product and is transported to a defective product collection box.

5. The method for monitoring the air bag process of an air bag pump according to claim 1, characterized in that: According to the sintering process data, the machined air bag machined product is compared with the consistency parameters based on the standard model to determine the machining data, including: After the sintering process data is acquired, the sintered air bag product is cut through a preset tooling die in a numerical control servo system and based on a preset part processing size to obtain the air bag machine-processed product; By using a preset infrared rangefinder, a straight line continuity test is performed on the inner wall of the pipe processed by the air bag machine to obtain the inner wall straight line test result; and a straight line continuity test is performed on the outer wall of the pipe processed by the air bag machine to obtain the outer wall straight line test result; If the inner wall linearity test result and the outer wall linearity test result are both pass results, the size test is performed on the finished product processed by the air bag machine; wherein the size test includes: the diameter size of the inner wall of the pipe, the diameter size of the outer wall of the pipe, the thickness of the pipe wall and the spacing of the pipe corrugations; The finished product processed by the air bag machine is subjected to random area segmentation processing to obtain random segmented areas; Performing a size detection on the random segmented area regarding the diameter size of the pipeline outer wall and the pipeline corrugation spacing to obtain a first detection result; wherein the first detection result also includes a specific pipeline outer wall diameter value and a specific pipeline corrugation spacing value; If the first detection result is a detection passing result after threshold judgment, the two ends of the air bag machine-processed product are subjected to dimensional detection of the pipe inner wall diameter and the pipe wall thickness to obtain a second detection result; and when the second detection result is a detection passing result, the air bag machine-processed product is determined as a qualified machined product; wherein the second detection result also includes the pipe inner wall diameter value and the pipe wall thickness value; The machining data is generated based on the first detection result and the second detection result.

6. The method for monitoring the air bag process of an air bag pump according to claim 1, characterized in that: Based on the machining data, the surface roughness of the inner and outer surfaces of the pipe of the finished product machined by the air bag machine is detected to obtain the surface roughness data, which specifically includes: After obtaining the machining data, the air bag machined product is soaked and circulated to wash away the foreign matter through a preset washing device, so as to obtain an original air bag product; wherein the washing liquid used in the washing device is ultrapure water; the foreign matter includes at least burrs and attachments; Using a preset small-aperture gloss meter, the outer surface of the original air bag finished product is tested for reflected light to obtain outer surface roughness data; Through a preset surface roughness meter, quantitative calculation of microscopic morphological parameters of the inner surface of the original air bag finished product is performed 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 wind bag finished product is determined as the wind bag finished product to be stored; The inner surface roughness data and the outer surface roughness data of the finished wind bag product to be stored are integrated to obtain the surface roughness data; wherein the surface roughness data includes the outer surface roughness and the inner surface roughness.

7. The method for monitoring the air bag process of an air bag 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 weighted and scored to obtain the finished product process evaluation score of the air bag, which specifically includes: Based on the complexity of each production link in the air bag production process, weight is allocated to each production link to obtain the weight ratio of each production link; The molding process data, the sintering process data, the machining data and the surface roughness data are evaluated and calculated for the quality standard under the production process to obtain the molding process score, the sintering process score, the machining score and the surface roughness score of the current air bag; According to the weight ratio of each production link, the molding process score, the sintering process score, the machining score and the surface roughness score are weighted and calculated to obtain the finished product process evaluation score of the current air bag.

8. The method for monitoring the air bag process of an air bag pump according to claim 1, characterized in that: After weighted scoring is performed 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 of the air bag, the method further includes: Compare and judge 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, the wind bag corresponding to the finished product process evaluation score is determined as the wind bag finished product to be tested; Performing a sealing and pressure-maintaining test on the finished air bag product to be tested, and if the sealing and pressure-maintaining test passes, determining the finished air bag product to be tested as a final qualified finished air bag product; The final qualified bellows product is put into storage for storage so as to be called and assembled in the bellows pump assembly stage.

9. A bellows process monitoring device for bellows pumps, characterized in that: The device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, so that the at least one processor can execute the bellows process monitoring method for a bellows pump according to any one of claims 1-8.

10. A non-volatile computer storage medium, characterized in that: The storage medium is a non-volatile computer-readable storage medium, and the non-volatile computer-readable storage medium stores at least one program, each of which includes instructions, and when the instructions are executed by the terminal, the terminal executes a bellows process monitoring method for a bellows pump according to any one of claims 1-8.

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