A process quality detection method, device and medium for bellows pump
By obtaining detailed information and real-time production data of each inspection process node, accurately matching the quality inspection strategy and adjusting the inspection rhythm, the problem of low quality inspection efficiency of wind bag pump process is solved, more accurate and efficient inspection results are achieved, and overall production efficiency is improved.
Patent Information
- Application Number
- CN202510152203.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-12
- Publication Date
- 2025-04-29
- Estimated Expiration
- 2045-02-12
AI Technical Summary
In the scenario where the same quality detection process of wind bag pumps with different functions is centrally processed, the function type of wind bag pumps and the upstream and downstream production nodes are limited, resulting in low process quality detection efficiency, affecting the production efficiency of the entire production line.
By obtaining the detailed information of each detection process node, including the node identification and component information of the components to be detected, the quality detection strategy corresponding to each detection process node is determined. The detection parameters are collected and uploaded in real time to the quality analysis node, and the quality detection results of each component to be detected are determined based on the quality reference information corresponding to the real-time component detection parameters and the detection indicators in the quality detection strategy. At the same time, obtain real-time production data of upstream production nodes and downstream production nodes, dynamically adjust the allocation and testing rhythm of detection equipment, and avoid the problem of backlog of test volume or idle tests.
It improves the testing efficiency, ensures the accuracy and reliability of the testing results, reduces waiting and delays in the production process, and improves the overall production efficiency.
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Figure CN119625859B_ABST
Abstract
Description
Technical Field
[0001] The present specification relates to the technical field of bellows pumps, and in particular to a process quality detection method, equipment and medium for bellows pumps. Background Art
[0002] The semiconductor manufacturing process involves complex processes and numerous procedures. The application scenarios of bellows pumps in the semiconductor industry are very extensive. The diversified application scenarios make bellows pumps play an irreplaceable role in the semiconductor manufacturing process. At the same time, there are higher requirements for the process quality in the bellows pump manufacturing process.
[0003] In the production process of the bellows pump, various types of quality inspections need to be carried out after different production processes. Generally, it usually includes design verification, blank physical property inspection, semi-finished workpiece size inspection, semi-finished workpiece metal inspection and post-assembly performance test. In the above-mentioned types of quality inspection processes, they need to be carried out in sequence according to the inspection order. The inspection results directly affect the start-up of the next production node. Therefore, the accuracy of the inspection results and the inspection efficiency of each quality inspection will affect the production efficiency of the complete production line. In the actual production line of the bellows pump, for the same quality inspection process, bellows pumps of different functional types may have centralized inspection scenarios. When the same quality inspection process is centralized, the bellows pumps in different application scenarios have different functions, and the corresponding quality inspection standards are different. If there is a problem with the matching of the inspection standards, it will affect the accuracy of the quality inspection results; similarly, if a relatively fixed test rhythm is adopted without considering the actual situation of the upstream and downstream production nodes, there may be problems of test volume backlog or test idleness, which will reduce the test efficiency.
[0004] To sum up, in the scenario where the same quality inspection process of bellows pumps with different functions is centrally processed, due to the limitations of the bellows pump function type and upstream and downstream production nodes, the process quality inspection process of the bellows pump has the problem of low inspection efficiency, which affects the production efficiency of the entire production line. Summary of the invention
[0005] One or more embodiments of the present specification provide a method, device and medium for process quality inspection of bellows pumps, which are used to solve the following technical problems: in the scenario where the same quality inspection process of bellows pumps with different functions is centrally processed, due to the limitations of the function type of the bellows pumps and the upstream and downstream production nodes, the process quality inspection process of the bellows pumps has the problem of low inspection efficiency, which affects the production efficiency of the entire production line.
[0006] One or more embodiments of this specification adopt the following technical solutions:
[0007] One or more embodiments of the present specification provide a process quality inspection method for a bellows pump, the method comprising: obtaining inspection process node information of each inspection process node in a target bellows pump production line, wherein the inspection process node information comprises a node identifier corresponding to each of the inspection process nodes and component information of at least one component to be inspected, and the inspection process nodes comprise a blank inspection node, a semi-finished workpiece inspection node, and a post-assembly performance test node; determining a quality inspection strategy corresponding to each of the inspection process nodes through a node identifier corresponding to each of the inspection process nodes and component information of at least one component to be inspected, wherein the quality inspection strategy comprises at least one inspection indicator and the component information of the at least one component to be inspected. The method comprises the following steps: obtaining quality reference information corresponding to the detection index, wherein the component information includes component production traceability information corresponding to the component to be detected; acquiring real-time production data of an upstream production node and a downstream production node of the detection process node, and matching at least one corresponding designated detection device based on the real-time production data and the detection index in the quality detection strategy; performing quality detection on the component to be detected through the designated detection device, collecting real-time component detection parameters, and uploading them to a quality analysis node; and determining the quality detection result of each component to be detected through the quality analysis node based on the real-time component detection parameters and the quality reference information corresponding to the detection index in the quality detection strategy.
[0008] One or more embodiments of this specification provide a process quality inspection device for a bellows pump, including:
[0009] at least one processor; and,
[0010] a memory communicatively connected to the at least one processor; wherein,
[0011] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the above method.
[0012] One or more embodiments of the present specification provide a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured to execute the above method.
[0013] At least one of the above technical solutions adopted in the embodiments of this specification can achieve the following beneficial effects: through the above technical solution, by obtaining detailed information of each detection process node (including node identification and component information of the component to be detected), the quality detection strategy is accurately matched, and the misjudgment caused by mismatch of detection standards is avoided, thereby improving the detection efficiency; real-time collection and uploading of detection parameters to the quality analysis node makes the feedback of detection results more timely, reduces the waiting time during the detection process, and further improves the detection efficiency; the quality detection strategy corresponding to each detection process node includes the detection indicators and quality reference information for the specific functional type of the wind bladder pump, ensuring the accuracy and pertinence of the detection standard, thereby This improves the accuracy of the test results. In addition, the component production traceability information contained in the component information helps to track and locate problems during the test process, further enhancing the reliability and traceability of the test results. By obtaining real-time production data from upstream and downstream production nodes, the allocation of testing equipment and the testing rhythm can be dynamically adjusted to avoid the problem of test volume backlog or test idleness, and optimize the production process. The introduction of real-time production data makes the quality inspection process more closely integrated with the production process. The improvement of quality inspection efficiency and the accuracy of test results enable each node on the production line to be connected more smoothly, reducing waiting and delays in the production process and improving overall production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] In order to more clearly illustrate the technical solutions in the embodiments of this specification or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art description. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. In the drawings:
[0015] Figure 1 A flow chart of a process quality inspection method for a bellows pump provided in an embodiment of this specification;
[0016] Figure 2 A schematic diagram of the structure of a process quality inspection device for a bellows pump provided in an embodiment of this specification. DETAILED DESCRIPTION
[0017] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.
[0018] The semiconductor manufacturing process involves complex processes and numerous procedures. The bellows pump has a wide range of application scenarios in the semiconductor industry, including vacuum extraction, gas delivery, gas leak detection, gas purification, etc. These diverse application scenarios make the bellows pump play an irreplaceable role in the semiconductor manufacturing process. At the same time, they also place higher requirements on the process quality of the bellows pump manufacturing process.
[0019] In the production process of the bellows pump, the structure is usually designed according to the functional requirements of the pump provided by the product demander, and the performance indicators are verified through fluid simulation; after the verification, the blank is processed through molding, sintering, cooling and other steps; after that, the physical properties of the blank are tested. After the physical properties test is passed, the blank is processed to obtain a semi-finished workpiece, and then the size of the semi-finished workpiece is inspected to determine whether it is consistent with the structure in the design stage. If the structural size is consistent, polishing, cleaning, and metal detection are performed. After the metal detection passes, the parts are assembled, and then the performance test is performed in combination with the simulation results. After passing the performance test, it is considered that the bellows pump has reached the factory standard. In other words, it is necessary to carry out various types of quality inspections after different production processes. Generally speaking, it usually includes multiple quality inspection processes such as design verification, blank physical property inspection, semi-finished workpiece size inspection, semi-finished workpiece metal inspection, and performance testing after assembly.
[0020] In the above-mentioned types of quality inspection processes, they need to be carried out in sequence according to the inspection order. The inspection results directly affect the start-up of the next production node. Therefore, the accuracy of the inspection results and the inspection efficiency of each quality inspection will have an impact on the production efficiency of the entire production line. In the actual production line of the bellows pump, for the same quality inspection process, bellows pumps of different functional types may have centralized inspection scenarios. When the same quality inspection process is centrally processed, the bellows pumps in different application scenarios have different functions, and the corresponding quality inspection standards are different. If there is a problem with the matching of the inspection standards, it will affect the accuracy of the quality inspection results; similarly, if a relatively fixed test rhythm is adopted without considering the actual situation of the upstream and downstream production nodes, there may be problems with test volume backlog or test idleness, reducing test efficiency.
[0021] To sum up, in the scenario where the same quality inspection process of bellows pumps with different functions is centrally processed, due to the limitations of the bellows pump function type and upstream and downstream production nodes, the process quality inspection process of the bellows pump has the problem of low inspection efficiency, which affects the production efficiency of the entire production line.
[0022] The embodiment of this specification provides a method for detecting the process quality of a bellows pump. It should be noted that the execution subject in the embodiment of this specification can be a server or any device with data processing capabilities. Figure 1 A flow chart of a process quality inspection method for a bellows pump provided in an embodiment of this specification is shown as follows: Figure 1 As shown, it mainly includes the following steps:
[0023] Step S101, obtaining detection process node information of each detection process node in the target bellows pump production line.
[0024] The detection process node information includes a node identifier corresponding to each detection process node and component information of at least one component to be detected, and the detection process node includes a blank detection node, a semi-finished workpiece detection node, and a post-assembly performance test node;
[0025] In one embodiment of the present specification, the target air bag pump production line includes a blank inspection node, a semi-finished workpiece inspection node and a post-assembly performance test node, and each inspection process node corresponds to a production node before and after. Before the blank inspection node, it needs to go through the production node corresponding to sintering and cooling. The blank inspection node uses a density meter or a strength tensile tester and other inspection equipment to inspect the physical properties of the blank. After the physical properties meet the requirements, it enters the processing center for the parts processing node. After this production node, it enters the semi-finished product processing inspection node to perform size, shape and other inspections and metal inspections. After meeting the requirements, it goes to the assembly production node. After the assembly is completed, it enters the post-assembly performance test node. If the performance requirements are met, vacuum packaging is performed to complete the delivery of the air bag pump product. In general, the production process of the enterprise in the process of producing air bag pumps is not much different, but there may be multiple production lines. Therefore, the production process information corresponding to each air bag pump production line can be written into the production line management system in advance. Through the production line management system, the inspection process node information of each inspection process node in the target air bag pump production line is obtained, and the inspection process node information includes the node identification corresponding to each inspection process node, and the component information of at least one component to be inspected corresponding to each inspection process node is collected through the pre-set Internet of Things device. It should be noted that the components to be tested here refer to the components that are at this detection process node in the current stage.
[0026] Step S102: determining a quality inspection strategy corresponding to each inspection process node through a node identifier corresponding to each inspection process node and component information of at least one component to be inspected.
[0027] The quality inspection strategy includes at least one inspection index and quality reference information corresponding to the inspection index, and the component information includes component production traceability information corresponding to the component to be inspected;
[0028] The quality inspection strategy corresponding to each inspection process node is determined by the node identifier corresponding to each inspection process node and the component information of the at least one component to be inspected, specifically including: determining the inspection type of the inspection process node by the node identifier corresponding to each inspection process node, wherein the inspection type includes any one or more of general inspection and targeted inspection; determining the function type of the wind bag pump corresponding to the component to be inspected in the component information of the at least one component to be inspected, wherein the function type of the wind bag pump includes any one of a vacuum extraction function, a gas delivery function, a gas leakage detection function and a gas purification function; determining the quality inspection strategy corresponding to each inspection process node according to the inspection type of the inspection process node and the function type of the wind bag pump corresponding to the component to be inspected.
[0029] In one embodiment of the present specification, the detection type of the detection process node is determined by the node identifier corresponding to each detection process node. It should be noted that the detection type includes any one or more of general detection and targeted detection. General detection means that the detection index corresponding to this detection process node is not limited by the functional type of the wind bag pump. No matter which functional type of wind bag pump is detected in this detection process node, the detection content is the same. For example, the blank detection node uses a density meter or a strength tensile tester and other detection equipment to test the physical properties of the blank. No matter which functional type of wind bag pump is used, the physical properties need to be tested.
[0030] Correspondingly, the detection indicators corresponding to the post-assembly performance test nodes are limited by the functional type of the bellows pump. The types of performance tests are different, and the reference standards for each test are quite different. For example, the bellows pump with vacuum extraction function needs to be tested for vacuum degree, and the vacuum degree of the pump under specific conditions is tested to ensure that it can meet the vacuum environment requirements required in the semiconductor manufacturing process. The pump also needs to be tested for gas leaks to ensure that it will not leak gas during operation, thereby affecting the stability of the vacuum environment. For bellows pumps with gas delivery function, for bellows pumps that need to deliver high-purity gas, the purity of the gas should be tested to ensure that no impurities or contaminants are introduced. The flow stability of the pump under long-term operation should also be tested to ensure that it can continuously and stably deliver gas. The bellows pump with gas leak detection function needs to test the sensitivity of the pump to gas leaks to ensure that it can detect and report leaks in a timely manner, and test the response time of the pump after detecting a gas leak to ensure that it can quickly take measures to prevent the leak from spreading. The bellows pump with gas purification function needs to test the gas purification efficiency of the pump to ensure that it can effectively remove impurities and contaminants in the gas, as well as test the processing volume of the pump under specific conditions to ensure that it can meet the needs of the semiconductor manufacturing process.
[0031] In the scenario where the same quality inspection process of wind bladder pumps with different functions is centrally processed, wind bladder pumps with multiple functions are collected in the inspection process node. Therefore, it is necessary to determine the function type of the wind bladder pump corresponding to the component to be inspected through the component information of at least one component to be inspected in the inspection process node. The wind bladder pump function type includes any one of the vacuum extraction function, gas delivery function, gas leakage detection function and gas purification function. In order to trace the production process of each wind bladder pump, a target wind bladder pump identification code can be set for each component in the production process for traceability. Assuming that the production of wind bladder pump 1 through the production line needs to go through multiple forms such as materials and parts, the materials, parts, etc. are all set with an identification of 1 for traceability, indicating that the production of a wind bladder pump 1 needs to be generated through material 1 and multiple parts 1. According to the inspection type of the inspection process node and the wind bladder pump function type corresponding to the component to be inspected, the quality inspection strategy corresponding to each inspection process node is determined.
[0032] According to the detection type of the detection process node and the wind bag pump function type corresponding to the component to be detected, the quality detection strategy corresponding to each detection process node is determined, specifically including: when the detection type corresponding to the detection process node is a universal detection, determining at least one universal detection indicator corresponding to each wind bag pump type in the detection process node, and obtaining the indicator standard parameters of the universal detection indicator corresponding to each wind bag pump type; according to the indicator standard parameters corresponding to each wind bag pump type, determining the quality reference information corresponding to each universal detection indicator, and based on the at least one universal detection indicator and the quality reference information, determining the quality detection strategy corresponding to the detection process node.
[0033] Generally speaking, the blank inspection node is a node for inspecting the physical properties of the blank. The blank inspection node is a general inspection. The semi-finished workpiece inspection node includes two inspections: semi-finished product size inspection and semi-finished product metal inspection. In the process of semi-finished product size inspection and semi-finished product metal inspection, it is not limited by the functional type of the bellows pump. Regardless of the functional type of the bellows pump, semi-finished product size inspection and semi-finished product metal inspection are required, and the requirements for size deviation and metal inspection are the same, that is, they all need to be the same as the semi-finished product size in the design drawings, and there is no problem of excessive metal ions. Therefore, the semi-finished workpiece inspection node is a general inspection. The post-assembly performance test node needs to be tested specifically for the functional type of the bellows pump, and the test evaluation standards for different functional types are different, so the corresponding inspection type is targeted inspection.
[0034] In one embodiment of the present specification, when the detection type corresponding to the detection process node is a universal detection, at least one universal detection index corresponding to each type of air bag pump in the detection process node is determined. The universal detection index here is used to indicate which type of detection is performed, such as size detection, metal detection, etc. The index standard parameters of the universal detection index corresponding to each type of air bag pump are obtained. Generally, the index standard parameters of the universal detection index corresponding to different types of air bag pumps are not much different. For example, the standard corresponding to the size detection is that the size must be the same as the semi-finished product size in the design drawing, and the size deviation is within the preset size error range, that is, the index standard parameter is that the size deviation is within the size error range.
[0035] According to the standard parameters of the indicator corresponding to each type of wind bladder pump, the quality reference information corresponding to each universal detection indicator is determined. In order to adapt to the scenario where the standard parameters of the indicators corresponding to multiple types of wind bladder pumps are different, the quality reference information corresponding to each universal detection indicator can be determined according to the optimal value of the standard parameters of the indicator corresponding to each type of wind bladder pump. Continuing to use the size deviation as an example, the smaller the size deviation, the better. If there are differences in the size error ranges corresponding to different types of wind bladder pumps, the minimum size error is selected as the quality reference information corresponding to the size detection indicator. Based on the at least one universal detection indicator and the quality reference information, the quality detection strategy corresponding to the detection process node is determined.
[0036] According to the detection type of the detection process node and the function type of the wind bag pump corresponding to the component to be detected, the quality detection strategy corresponding to each detection process node is determined, specifically including: when the detection type corresponding to the detection process node is targeted detection, according to the function type of the wind bag pump corresponding to the component to be detected, at least one targeted test indicator corresponding to the detection process node is determined; the production traceability information of at least one preceding production node corresponding to the component to be detected in the component information of the at least one component to be detected is obtained; according to the production traceability information, the design node information of the wind bag pump corresponding to the component to be detected is determined, so as to determine the quality reference information corresponding to each targeted test indicator based on the design node information of the wind bag pump; the quality detection strategy corresponding to the detection process node is determined through the at least one targeted test indicator and the quality reference information corresponding to each targeted test indicator.
[0037] In one embodiment of the present specification, when the detection type corresponding to the detection process node is a targeted detection, it is first necessary to determine the functional type of the air bag pump corresponding to the component to be detected. For example, if the component to be detected is a air bag pump component responsible for gas leakage detection, then the targeted test indicators may include leakage rate, response time, detection accuracy, etc. The selection of test indicators is directly related to the functional characteristics and performance requirements of the air bag pump. The production traceability information of all executed production nodes of the component to be detected in the production process is obtained. On the air bag pump production line, the production traceability information includes raw material procurement records, processing records of each production node, and quality inspection results of the previous detection process node. Based on the obtained production traceability information, the design node information of the air bag pump corresponding to the component to be detected can be further determined, which may include design documents, drawings, technical requirements, etc. According to the air bag pump design node information, the quality reference information corresponding to each targeted test indicator can be determined, which usually includes the standard value of the performance indicator. For example, for the leakage rate test indicator, the quality reference information may include the standard value of the leakage rate (such as a leakage rate less than 0.1%), the maximum leakage allowed, and the standard for judging whether it is qualified or not (such as three consecutive tests meet the standard value). Finally, formulate a quality inspection strategy based on the determined targeted test indicators and quality reference information.
[0038] Assume that at the post-assembly performance test node (node identifier ND03) of the bellows pump production line, a targeted test is performed on the bellows pump with gas leak detection function. Determine the targeted test indicators as leakage rate, response time, and detection accuracy. Obtain production traceability information from previous production nodes (such as blank inspection nodes, semi-finished workpiece inspection nodes, etc.), including raw material batch numbers, processing records, quality inspection results, etc. Find the design documents to understand the design requirements of the leak detection components, the layout and parameter settings of the gas handling system, etc. According to the design requirements, determine the standard value of the leak rate (such as less than 0.1%), the maximum allowable leakage, the response time requirements (such as less than 5 seconds), the detection accuracy requirements (such as an error of less than ±5%), etc.
[0039] In the scenario where different functional air bag pumps are centrally inspected during the same quality inspection process, there is a problem of inspection standard matching deviation caused by not considering the functional type of the air bag pump. Through the above technical solution, the different effects of the functional type of the air bag pump on the inspection indicators and inspection standards in different inspection process nodes are considered; general inspection indicators and targeted inspection indicators are distinguished, and by setting unified inspection indicators (such as size inspection, metal detection, etc.) for different types of air bag pumps, it can ensure that basic quality and consistency requirements are met, simplify the inspection process, reduce the inspection complexity caused by type differences, and improve inspection efficiency; in targeted inspection, the specific type of the air bag pump is used as the basis for inspection. Customizing inspection indicators based on the functional type of the product (such as gas leakage detection, pressure control, etc.) can more accurately evaluate whether its performance meets specific requirements; considering the impact of the functional type of the bellows pump on the inspection standard, in the same quality inspection process, when conducting centralized inspections on bellows pumps with different functions, if their functional type is not taken into consideration, it may lead to a mismatch between the inspection standard and the actual needs, thereby affecting the accuracy and effectiveness of the inspection results; by distinguishing between general inspections and targeted inspections, and formulating inspection indicators and quality reference information respectively, the functional characteristics and performance requirements of the bellows pump can be fully considered, ensuring that the inspection standard matches the actual function of the product, and reducing the problem of inspection standard matching deviation.
[0040] Step S103, obtaining real-time production data of upstream production nodes and downstream production nodes of the detection process node, and matching at least one corresponding designated detection device based on the real-time production data and the detection indicators in the quality detection strategy.
[0041] In one embodiment of the present specification, the real-time production data of the upstream production node and the downstream production node of the detection process node are obtained. It should be noted that the production situation of the upstream production node determines the detection task volume of the detection process node, and the detection efficiency of the detection process node also determines the input production task volume of the downstream production node. Therefore, it is necessary to comprehensively consider the production situation of the upstream production node and the downstream production node, set a suitable detection rhythm for the detection process node, avoid the task backlog of the downstream production node caused by too fast detection rhythm, and avoid the detection task backlog caused by too slow detection rhythm.
[0042] In one embodiment of the present specification, the upstream node production data and the downstream node production data in the real-time production data are obtained, the upstream node production data includes the upstream production speed, and the downstream node production data includes the downstream receiving speed. It should be noted that the upstream production speed of the upstream production node represents the production quantity or task quantity that the upstream production node can complete per unit time. The downstream receiving speed of the downstream production node represents the production quantity or task quantity that the downstream production node can receive and process per unit time. According to the formula , determine the upstream and downstream synchronization index corresponding to the detection process node, where P is the upstream and downstream synchronization index, V u is the upstream production speed, V d The upstream and downstream synchronization index is closer to 1, which means the upstream and downstream production rhythm is more synchronized.
[0043] Since the detection requirements of the detection process node are only related to the upstream production node, that is, the input of the detection process node is the output of the upstream production node, the upstream production speed is used to determine the detection requirement information corresponding to the detection process node. Based on the upstream and downstream synchronization index, the detection requirement information is corrected to determine the corrected detection requirement information corresponding to the detection process node.
[0044] Based on the upstream and downstream synchronization index, the detection requirement information is corrected to determine the corrected detection requirement information corresponding to the detection process node, specifically including: determining the corresponding correction operator according to the upstream production speed and the downstream receiving speed; when the upstream production speed is greater than the downstream receiving speed, the correction operator is determined according to the upstream and downstream synchronization index; when the upstream production speed is less than the downstream receiving speed, the correction operator is determined according to the upstream and downstream synchronization index according to a preset formula, wherein the preset formula is , where A is the correction operator; the correction detection requirement information corresponding to the detection process node is determined by multiplying the detection requirement information and the correction operator. It should be noted that Is ) can be derived.
[0045] When the upstream production speed is greater than the downstream receiving speed, it means that the detection speed between the two should not be too large, then the upstream and downstream synchronization index is determined as the correction operator. If the detection speed is too fast, it will generate too much detection output, resulting in a backlog of tasks at the downstream production node. If the detection speed is too slow, it cannot adapt to the production output of the upstream production node. Therefore, the product of the detection demand information and the correction operator is determined as the corrected detection demand information. When the upstream production speed is less than the downstream receiving speed, the correction operator is determined based on the upstream and downstream synchronization index P, and the corrected detection demand information corresponding to the detection process node is determined by the product of the detection demand information and the correction operator. For example, assuming Vu=40 pieces / hour, Vd=50 pieces / hour. According to the formula , P=(2×40) / (50+40)=0.89 is calculated, indicating that there is a certain degree of asynchrony between the upstream and downstream production rhythms. When Vu is less than Vd (in this case), the correction operator A=2-P=2-0.89=1.11 is determined based on the upstream and downstream synchronization index P. The corrected detection demand information is the product of the initial detection demand information and the correction operator, that is, the actual number of tests required per hour is 44.4 to match the downstream processing capacity.
[0046] By calculating the upstream and downstream synchronization index, we can clearly understand the synchronization status of the upstream and downstream nodes in the production process, which is helpful to timely discover the asynchronous problems of production rhythm and take corresponding adjustment measures; the revised detection demand information can ensure that the detection process is more coordinated with the rhythm of upstream and downstream production nodes, reduce waiting time and task backlogs in the production process, and thus improve overall production efficiency; when the upstream production speed is greater than the downstream receiving speed, limiting the detection speed can prevent excessive detection output and avoid inefficiency of downstream production nodes due to task backlogs. When the upstream production speed is less than the downstream receiving speed, by limiting the detection speed (but still within the reasonable range after correction), the processing capacity of the downstream nodes can be fully utilized to reduce resource waste.
[0047] In one embodiment of the present specification, the reference detection efficiency corresponding to the detection process node is determined according to the revised detection requirement information corresponding to the detection process node and the pre-acquired theoretical detection capability index corresponding to the detection process node, where the theoretical detection capability index corresponding to the detection process node is the theoretical maximum detection speed of the detection device, that is, the maximum number of detections per hour, and the reference detection efficiency corresponding to the detection process node is determined according to the ratio of the revised detection requirement information corresponding to the detection process node and the theoretical detection capability index corresponding to the detection process node. Based on the reference detection efficiency corresponding to the detection process node and the detection index in the quality detection strategy, at least one corresponding designated detection device is matched.
[0048] In one embodiment of the present specification, the detection device type corresponding to the detection process node is determined by the detection index in the quality detection strategy to determine the multiple detection devices to be matched corresponding to the detection device type. The historical detection parameters of each detection device to be matched are obtained to determine the device detection efficiency of each detection device to be matched through the historical detection parameters; based on the device detection efficiency of each detection device to be matched, the minimum detection efficiency corresponding to the detection process node is determined. According to the reference detection efficiency of the detection process node and the minimum detection efficiency corresponding to the detection process node, the number of detection devices corresponding to the detection process node is determined; assuming that the historical detection parameters of the three detection devices to be matched, the device detection efficiencies are calculated to be 80%, 75%, and 70% respectively, and the reference detection efficiency is 90%. The reference detection efficiency of 90% is much greater than the minimum detection efficiency of 70%, indicating that the detection efficiency cannot be met by using one detection device, so the number of matching devices is required. If the reference detection efficiency is 60%, the reference detection efficiency is greater than the minimum detection efficiency, indicating that any detection device can meet the requirements.
[0049] When determining the number of detection devices corresponding to the detection process node according to the reference detection efficiency of the detection process node and the minimum detection efficiency corresponding to the detection process node, the number of detection devices is obtained by rounding up the ratio of the reference detection efficiency to the minimum detection efficiency. According to the device detection efficiency of each detection device to be matched, the plurality of detection devices to be matched are sorted in order from large to small, so as to screen in turn among the plurality of detection devices to be matched based on the number of detection devices, and match at least one designated detection device corresponding to the detection index of the detection process node. It should be noted that the detection device in the embodiment of this specification can also be a test platform composed of multiple devices for testing the same indicator.
[0050] Through the above technical scheme, by calculating the reference detection efficiency, it is ensured that the detection capability of the detection process node matches the actual demand, avoiding the waste or shortage of detection resources. The number and type of matching equipment are based on the actual detection needs and quality detection strategies, which improves the accuracy and efficiency of detection; the number of required equipment is determined according to the minimum detection efficiency, which can ensure that the detection resources are maximized and the production cost is reduced while meeting the detection needs; by sorting and screening the detection equipment to be matched, it is possible to give priority to equipment with higher detection efficiency and more stable performance, further improving the efficiency of resource utilization; when the production demand or quality detection strategy changes, the configuration of the detection process node can be quickly adjusted to adapt to the new production demand; by matching the detection equipment that meets the requirements of the quality detection strategy, the accuracy and reliability of the detection results are ensured.
[0051] Step S104, through the designated testing equipment, quality testing is performed on the components to be tested, real-time component testing parameters are collected, and uploaded to the quality analysis node. Through the quality analysis node, the quality test results of each component to be tested are determined based on the real-time component testing parameters and the quality reference information corresponding to the testing indicators in the quality testing strategy.
[0052] In one embodiment of the present specification, by specifying the detection equipment information, the quality inspection is performed on the components to be inspected, and the real-time component detection parameters are collected and uploaded to the quality analysis node. It should be noted that the Internet of Things technology can be used when collecting real-time component detection parameters for quality inspection. In general, the data collection and judgment process of different detection process nodes is decentralized. In the embodiment of the present specification, since different detection process nodes are almost synchronously performed in the production line, decentralized collection is realized, and the method of uploading to the quality analysis node for centralized judgment avoids the judgment error caused by the limitation of data analysis capabilities, and effectively improves the detection efficiency.
[0053] During the upload process, since multiple detection process nodes are involved, and each detection process node has the situation of simultaneously detecting multiple types of wind bladder pumps, and each detection process node corresponds to multiple detection indicators, in the process of comparing and judging the real-time component detection parameters with the quality reference information to obtain quality detection, there may be a problem of mismatching between the measured parameters and the reference information. Therefore, when uploading to the quality analysis node, the current detection indicator corresponding to the real-time component detection parameter is determined, that is, which type of parameter the real-time component detection parameter is. Based on the current detection indicator, the corresponding current quality reference information is matched in the quality detection strategy. After determining the current detection indicator, the reference information is matched in the quality detection strategy of the corresponding detection process node to determine the corresponding current quality reference information. It should be noted that when collecting the real-time component detection parameter, the detection process node corresponding to the real-time component detection parameter is included. A first corresponding relationship between the real-time component detection parameter and the current quality reference information is established, and a corresponding relationship identifier is set for the first corresponding relationship according to the node identifier corresponding to the detection process node; the first corresponding relationship and the corresponding relationship identifier are uploaded to the quality analysis node. The quality analysis node receives the uploaded first correspondence and correspondence identifier, and makes a quality judgment on each component to be inspected based on the real-time component inspection parameters and the quality reference information in the quality inspection strategy. The judgment results may include qualified, unqualified, etc. The judgment results are recorded and subsequent operations are triggered, such as flowing into the next production node or re-processing or entering the unqualified product pool.
[0054] Through the above technical solution, by obtaining detailed information of each detection process node (including node identification and component information of the component to be detected), the quality detection strategy is accurately matched, which avoids misjudgment caused by mismatch of detection standards, thereby improving detection efficiency; real-time collection and uploading of detection parameters to the quality analysis node makes the feedback of detection results more timely, reduces the waiting time during the detection process, and further improves the detection efficiency; the quality detection strategy corresponding to each detection process node contains detection indicators and quality reference information for specific functional types of air bag pumps, ensuring the accuracy and pertinence of the detection standards, thereby improving the accuracy of the detection results. In addition, The component production traceability information contained in the component information helps to track and locate problems during the inspection process, further enhancing the reliability and traceability of the inspection results; by obtaining real-time production data from upstream and downstream production nodes, the allocation of inspection equipment and the testing rhythm can be dynamically adjusted to avoid the problem of test volume backlog or test idleness, optimize the production process, and introduce real-time production data to make the quality inspection process more closely integrated with the production process; the improvement of quality inspection efficiency and the accuracy of inspection results enable each node on the production line to be connected more smoothly, reducing waiting and delays in the production process and improving overall production efficiency.
[0055] The present specification also provides a process quality inspection device for a bellows pump, such as Figure 2 As shown, 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, and the instructions are executed by the at least one processor so that the at least one processor can execute the above method.
[0056] The embodiments of the present specification also provide a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured to execute the above method.
[0057] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.
[0058] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0059] The devices and media provided in the embodiments of this specification correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects as the 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.
[0060] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems, or computer program products. Therefore, this specification may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, this specification may 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.
[0061] This specification is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of this specification. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes 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 a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0062] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0063] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0064] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0065] Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
[0066] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. 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 technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.
[0067] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.
[0068] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.
Claims
1. A method for detecting the process quality of a bellows pump, characterized in that: The method comprises: Acquire detection process node information of each detection process node in the target bellows pump production line, wherein the detection process node information includes a node identifier corresponding to each detection process node and component information of at least one component to be detected, and the detection process nodes include a blank detection node, a semi-finished workpiece detection node, and a post-assembly performance test node; Determine the quality inspection strategy corresponding to each of the inspection process nodes by using the node identifier corresponding to each of the inspection process nodes and the component information of the at least one component to be inspected, wherein the quality inspection strategy includes at least one inspection indicator and quality reference information corresponding to the inspection indicator, and the component information includes component production traceability information corresponding to the component to be inspected; Acquire real-time production data of an upstream production node and a downstream production node of the detection process node, and match at least one corresponding designated detection device based on the real-time production data and the detection index in the quality detection strategy; The designated inspection equipment is used to perform quality inspection on the components to be inspected, and real-time component inspection parameters are collected and uploaded to a quality analysis node. The quality analysis node is used to determine the quality inspection result of each component to be inspected based on the real-time component inspection parameters and the quality reference information corresponding to the inspection indicators in the quality inspection strategy.
2. A process quality inspection method for a bellows pump according to claim 1, characterized in that: Determining the quality inspection strategy corresponding to each of the inspection process nodes by using the node identifier corresponding to each of the inspection process nodes and the component information of the at least one component to be inspected, specifically includes: Determine the detection type of the detection process node through the node identifier corresponding to each detection process node, wherein the detection type includes any one or more of a general detection and a targeted detection; Determine a function type of a wind bag pump corresponding to the component to be detected in the component information of the at least one component to be detected, wherein the function type of the wind bag pump includes any one of a vacuum extraction function, a gas delivery function, a gas leakage detection function and a gas purification function; According to the detection type of the detection process node and the air bag pump function type corresponding to the component to be detected, the quality detection strategy corresponding to each detection process node is determined.
3. A process quality inspection method for a bellows pump according to claim 2, characterized in that: According to the detection type of the detection process node and the air bag pump function type corresponding to the component to be detected, the quality detection strategy corresponding to each detection process node is determined, specifically including: When the detection type corresponding to the detection process node is a universal detection, determining at least one universal detection index corresponding to each type of wind bladder pump in the detection process node, and obtaining the index standard parameters of the universal detection index corresponding to each type of wind bladder pump; According to the indicator standard parameters corresponding to each type of air bag pump, the quality reference information corresponding to each of the universal detection indicators is determined, and based on the at least one universal detection indicator and the quality reference information, the quality detection strategy corresponding to the detection process node is determined.
4. A method for detecting process quality of a bellows pump according to claim 2, characterized in that: According to the detection type of the detection process node and the air bag pump function type corresponding to the component to be detected, the quality detection strategy corresponding to each detection process node is determined, specifically including: When the detection type corresponding to the detection process node is a targeted detection, determining at least one targeted test indicator corresponding to the detection process node according to the air bag pump function type corresponding to the component to be detected; Acquire production traceability information of at least one preceding production node corresponding to the at least one component to be detected in the component information of the at least one component to be detected; Determine the design node information of the bellows pump corresponding to the component to be tested according to the production traceability information, so as to determine the quality reference information corresponding to each of the targeted test indicators based on the bellows pump design node information; The quality detection strategy corresponding to the detection process node is determined by using the at least one targeted test indicator and the quality reference information corresponding to each targeted test indicator.
5. A process quality inspection method for a bellows pump according to claim 1, characterized in that: Based on the real-time production data and the detection index in the quality detection strategy, matching at least one corresponding designated detection device specifically includes: Acquire upstream node production data and downstream node production data in the real-time production data, wherein the upstream node production data includes an upstream production speed, and the downstream node production data includes a downstream receiving speed; By the upstream production speed and the downstream receiving speed, according to the formula , determine the upstream and downstream synchronization index corresponding to the detection process node, where P is the upstream and downstream synchronization index, V u is the upstream production speed, V d is the downstream receiving speed; Determine the detection requirement information corresponding to the detection process node by the upstream production speed, and modify the detection requirement information based on the upstream and downstream synchronization index to determine the modified detection requirement information corresponding to the detection process node; Determine the reference detection efficiency corresponding to the detection process node according to the modified detection requirement information corresponding to the detection process node and the pre-acquired theoretical detection capability index corresponding to the detection process node; Based on the reference detection efficiency corresponding to the detection process node and the detection index in the quality detection strategy, match at least one corresponding designated detection device.
6. A method for detecting process quality of a bellows pump according to claim 5, characterized in that: Matching at least one corresponding designated testing device based on the reference testing efficiency corresponding to the testing process node and the testing index in the quality testing strategy specifically includes: Determine the detection device type corresponding to the detection process node through the detection index in the quality detection strategy, so as to determine a plurality of detection devices to be matched corresponding to the detection device type; Acquire historical detection parameters of each of the detection devices to be matched, so as to determine the device detection efficiency of each of the detection devices to be matched through the historical detection parameters; Based on the device detection efficiency of each of the detection devices to be matched, determine the minimum detection efficiency corresponding to the detection process node, and determine the number of detection devices corresponding to the detection process node according to the reference detection efficiency of the detection process node and the minimum detection efficiency corresponding to the detection process node; According to the device detection efficiency of each of the detection devices to be matched, the multiple detection devices to be matched are sorted in descending order, so as to screen in sequence among the multiple detection devices to be matched based on the number of the detection devices, and match at least one designated detection device corresponding to the detection indicator of the detection process node.
7. A method for detecting process quality of a bellows pump according to claim 5, characterized in that: Based on the upstream and downstream synchronization index, the detection requirement information is modified to determine the modified detection requirement information corresponding to the detection process node, specifically including: Determining a corresponding correction operator according to the upstream production speed and the downstream receiving speed; When the upstream production speed is greater than the downstream receiving speed, the upstream and downstream synchronization index is used to determine the correction operator; When the upstream production speed is less than the downstream receiving speed, the correction operator is determined according to the upstream and downstream synchronization index according to a preset formula, wherein the preset formula is: , where A is the correction operator; The corrected detection requirement information corresponding to the detection process node is determined by multiplying the detection requirement information and the correction operator.
8. A process quality inspection method for a bellows pump according to claim 1, characterized in that: Upload to the quality analysis node, including: Determining a current detection index corresponding to the real-time component detection parameter, so as to match corresponding current quality reference information in the quality detection strategy based on the current detection index; Establishing a first correspondence between the real-time component detection parameter and the current quality reference information, and setting a correspondence identifier for the first correspondence according to a node identifier corresponding to the detection process node; The first corresponding relationship and the corresponding relationship identifier are uploaded to a quality analysis node.
9. A process quality inspection device for a bellows pump, 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, and the instructions are executed by the at least one processor so that the at least one processor can perform the method according to any one of claims 1 to 8.
10. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions are configured to execute the method according to any one of claims 1 to 8.
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