Quality control optimization method and system for quartz diffusion tube

Abstract

The invention relates to the technical field of general electric digital data processing, in particular to a quality control optimization method, device and system for a quartz diffusion tube, and the method comprises the steps: obtaining a historical production record related to the quartz diffusion tube with a preset quality requirement, and the historical production record comprises a sub-record of a process in a process chain of the quartz diffusion tube; performing quality control theme extraction operation on the historical production record to obtain a quality control theme corresponding to the historical production record, and performing process element extraction operation on each sub-record in the historical production record to obtain a plurality of process elements; based on the occurrence frequency of the process elements in the historical production record related to the quality control theme, a quality control element set containing the process elements related to the quality control theme is extracted from the process elements, and the process elements outside the quality control element set are not related to the quality control theme; and determining a quality control optimization strategy for the process chain based on the quality control element set.

Description

A method and system for quality control optimization of quartz diffuser tubes Technical Field

[0001] This application relates to the field of electronic digital data processing technology, and in particular to a method, apparatus and system for quality control optimization of quartz diffuser tubes. Background Technology

[0002] Quartz diffusion tubes (also known as oxide diffusion tubes) use high-purity quartz as the substrate. Due to their excellent high-temperature resistance and chemical stability, they have become a key carrier for diffusion processes in semiconductors, photovoltaics, and other fields. The production of quartz diffusion tubes is crucial to the precision of chip oxidation and has a vital impact on chip quality. In particular, the production technology of quartz diffusion tubes with particularly large usage (φ350mm large cavity, φ400mm extra-large cavity), and even double-layer large cavity quartz diffusion tubes, has become a key issue in the development of integrated circuit chip technology in my country.

[0003] The production process of quartz diffuser tubes is complex. The production of large-cavity quartz diffuser tubes involves quartz crystal cutting, heating, annealing, ultra-precision machining, and cleaning. These processes, including the testing and input of the quartz crystal raw materials, can all affect the quality and yield of the diffuser tubes. Currently, the very few Chinese companies capable of producing large-cavity quartz oxide diffuser tubes face technological bottlenecks such as low yield, poor batch consistency, and difficulty in maintaining product quality and production costs. Therefore, a better quality control optimization solution for quartz diffuser tubes is needed to overcome these difficulties. Summary of the Invention

[0004] This application provides a method, apparatus, and system for quality control optimization of quartz diffuser tubes, which can be used to achieve product quality control of quartz diffuser tubes.

[0005] In a first aspect, this application provides a quality control optimization method for quartz diffusion tubes. The method includes: acquiring historical production records related to quartz diffusion tubes with preset quality requirements, wherein the historical production records contain sub-records of processes in the process chain of the quartz diffusion tube; performing a quality control theme extraction operation on the historical production records to obtain a quality control theme corresponding to the historical production records; performing a process element extraction operation on each sub-record in the historical production records to obtain multiple process elements; based on the frequency of the process elements appearing in the historical production records related to the quality control theme, extracting a quality control element set containing process elements related to the quality control theme from the process elements, wherein process elements outside the quality control element set are unrelated to the quality control theme; and determining a quality control optimization strategy for the process chain based on the quality control element set.

[0006] Further, based on the frequency of occurrence of the process elements in the historical production records related to the quality control theme, a quality control element set including process elements related to the quality control theme is extracted from the process elements, including: determining the first quantity of historical production records with the quality control theme, and determining the second quantity of historical production records with the quality control theme and including one of the process elements; determining the frequency of occurrence of the process element in the historical production records related to the quality control theme according to the ratio of the first quantity to the second quantity; in the case where the frequency is greater than a preset value, taking the process element corresponding to the second quantity as a qualified process element; and extracting the quality control element set from the qualified process elements.

[0007] Further, the extracting the quality control element set from the qualified process elements includes: determining the third quantity of historical production records with the quality control theme and including two of the qualified process elements; in the case where the ratio of the third quantity to the first quantity is greater than a preset value, constructing an initial two-element set including two of the qualified process elements; adding at least one qualified process element outside the initial two-element set to the initial two-element set to obtain a candidate quality control element set; determining the fourth quantity of historical production records with the quality control theme and including the qualified process elements in the candidate quality control element set; and in the case where the ratio of the fourth quantity to the first quantity is greater than a preset value, taking the candidate quality control element set corresponding to the quality control theme and including the most qualified process elements as the quality control element set.

[0008] Further, the adding at least one qualified process element outside the initial two-element set to the initial two-element set to obtain a candidate quality control element set includes: numbering the qualified process elements corresponding to the quality control theme to determine the numbers of the qualified process elements corresponding to the quality control theme; for a candidate quality control element set including K elements, adding the qualified process elements after the qualified process element with the largest number in the candidate quality control element set to the initial two-element set in sequential order of numbers to obtain a candidate quality control element set including K + 1 elements, where K < N - 1 and K > 3, and N is the number of qualified process elements corresponding to the quality control theme.

[0009] Furthermore, determining the quality control optimization strategy for the process chain based on the quality control element set includes: obtaining the production target of the quartz diffuser and determining the target quality control theme corresponding to the production target, wherein the production target includes a first production target for good products and a second production target for defective products; when the production target is the first production target, determining the quality control optimization strategy according to each process element in the quality control element set corresponding to the target quality control theme; when the production target is the second production target, determining the quality control optimization strategy according to the matching operation between the quality control element set corresponding to the target quality control theme and the generated production records.

[0010] Furthermore, when the production target is the second production target, determining the quality control optimization strategy based on the matching operation between the quality control element set corresponding to the target quality control theme and the generated production records includes: when the production target is the second production target, extracting the target process element corresponding to the process element in the quality control element set from the generated production records; and when the target process element matches the process element in the quality control element set, determining the quality control optimization strategy based on process elements other than the target process element in the quality control element set.

[0011] Furthermore, when the target process element matches the process elements in the quality control element set, determining the quality control optimization strategy based on process elements other than the target process element in the quality control element set includes: obtaining a preset value range of process indicators in the target process element; determining a possible value range for the target process element that does not include the actual value based on the actual value of the process indicator in the generated production record; and determining the target value of the process indicator in the target process element based on the possible value range and the preset value range.

[0012] Furthermore, the process element extraction operation on each sub-record in the historical production record to obtain multiple process elements includes: determining the quality inspection process corresponding to the quality control theme from the process chain of the quartz diffuser; performing process element extraction operation on the sub-records corresponding to the processes before the quality inspection process in the process chain and the sub-records corresponding to the quality inspection process to obtain multiple process elements.

[0013] Secondly, this application provides a quality control optimization device for quartz diffusion tubes, comprising: a recording module, used to acquire historical production records related to quartz diffusion tubes with preset quality requirements, wherein the historical production records include sub-records of processes in the process chain of the quartz diffusion tube; an element module, used to perform a quality control theme extraction operation on the historical production records to obtain a quality control theme corresponding to the historical production records, and to perform a process element extraction operation on each sub-record in the historical production records to obtain multiple process elements; an element set module, used to extract a quality control element set containing process elements related to the quality control theme from the process elements based on the frequency of the process elements appearing in the historical production records related to the quality control theme, wherein process elements outside the quality control element set are unrelated to the quality control theme; and a strategy module, used to determine a quality control optimization strategy for the process chain based on the quality control element set.

[0014] Thirdly, this application provides a quality control optimization system for quartz diffuser tubes, including a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the computer program, when executed by the processor, implements the steps of the quality control optimization method for quartz diffuser tubes described in any of the above claims.

[0015] Fourthly, this application provides a computer-readable storage medium storing computer program instructions thereon, which, when executed by a processor, implement the above-mentioned quality control optimization method for quartz diffuser tubes.

[0016] In the embodiments of this specification, after obtaining the historical production records of the quartz diffuser, the quality control themes and process elements of each historical production record are extracted sequentially. Then, a quality control element set corresponding to each quality control theme is extracted from the process elements, and a quality control optimization strategy is determined based on the quality control element set. This process, by constructing a quality control element set, extracts process elements related to the quality control themes in the quartz diffuser's process chain, avoiding process elements that are numerically supportive but actually meaningless to the quality control themes. This achieves data-driven optimization of the quartz diffuser's process chain, thereby helping to improve the quality control optimization effect of the quartz diffuser.

[0017] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure.

[0018] Other features and aspects of this disclosure will become clear from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0019] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0020] Figure 1 illustrates a flowchart of a quality control optimization method for a quartz diffuser; Figure 2 illustrates a flowchart of a process for constructing a set of process elements; Figure 3 illustrates a flowchart of a quality control optimization device for a quartz diffuser.

[0021] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concepts of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0022] Various exemplary embodiments, features, and aspects of this disclosure will now be described in detail with reference to the accompanying drawings. The same reference numerals in the drawings denote elements that have the same or similar functions. Although various aspects of the embodiments are shown in the drawings, they are not necessarily drawn to scale unless specifically indicated otherwise.

[0023] The term “exemplary” as used herein means “serving as an example, embodiment, or illustration.” Any embodiment illustrated herein as “exemplary” is not necessarily to be construed as superior to or better than other embodiments.

[0024] In this document, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Furthermore, the term "at least one" in this document means any combination of at least two of any one or more elements. For example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0025] Furthermore, to better illustrate this disclosure, numerous specific details are set forth in the following detailed description. Those skilled in the art will understand that this disclosure can be practiced without certain specific details. In some instances, methods, means, components, and circuits well known to those skilled in the art have not been described in detail in order to highlight the main points of this disclosure.

[0026] Figure 1 shows a flowchart of a quality control optimization method for a quartz diffuser according to an embodiment of the present disclosure. This method can be applied to a quality control optimization device for a quartz diffuser, which can be a terminal device, a server, or other processing equipment. The terminal device can be a user equipment (UE), mobile device, user terminal, terminal, cellular phone, cordless phone, personal digital assistant (PDA), handheld device, computing device, in-vehicle device, wearable device, etc.

[0027] In some possible implementations, the quality control optimization method for this quartz diffuser can be implemented by the processor calling computer-readable instructions stored in memory.

[0028] As shown in Figure 1, the quality control optimization method for the quartz diffuser tube may include: step S11, obtaining historical production records related to the quartz diffuser tube with preset quality requirements.

[0029] The preset quality requirements can be one or more of the following: appearance requirements (e.g., no cracks, scratches, etc.), yield requirements (e.g., yield higher than 90%), and batch consistency requirements (color consistency, tube diameter consistency, etc.). Historical production records are the production records of different batches in the quartz diffuser production line. These historical production records can contain multiple sub-records, each corresponding to a process in the quartz diffuser's process chain. These historical production records can be records of good products (quartz diffusers that meet the requirements); records of defective products (quartz diffusers that do not meet the requirements); or records of both good and defective products.

[0030] After obtaining historical production records, these records can be preprocessed. In one example, for production records of the same type of defective products, to ensure consistency (e.g., the sub-records contained in different historical production records must be consistent) and accuracy (e.g., whether the data in the records is consistent with the changed data after data changes), the historical production records can be preprocessed.

[0031] Step S12: Perform a quality control theme extraction operation on the historical production records to obtain the quality control theme corresponding to the historical production records, and perform a process element extraction operation on each sub-record in the historical production records to obtain multiple process elements.

[0032] The quality control theme focuses on optimizing the quality of quartz diffusers. This theme can be determined based on the quality information of the quartz diffusers in historical production records. For example, a historical production record concerning defective products might contain information about poor color consistency in a batch of quartz diffusers. In this case, the quality control theme could be to prevent poor color consistency in quartz diffusers, thus targeting defective products. Conversely, a historical production record concerning good products might contain information about a batch of quartz diffusers achieving 95% color consistency. In this case, the quality control theme could be to maintain color consistency above 90%, targeting good products.

[0033] Process elements include the process indicators and values ​​for each process in the process chain. These indicators and values ​​can be determined by industry experts after evaluation. After identifying the quality control theme, process elements can also be extracted from historical production records. Generally, each process in the process chain has a corresponding sub-record in historical production records, and the corresponding process elements can be extracted from each sub-record. For example, process elements such as impurity content can be extracted from the sub-record corresponding to the raw material inspection process; process elements such as dimensional consistency can be extracted from the sub-record corresponding to the cutting process.

[0034] Step S13: Based on the frequency of the occurrence of the process elements in historical production records related to the quality control topic, extract a set of quality control elements containing process elements related to the quality control topic from the process elements.

[0035] The quality control element set is a collection of process elements related to the quality control theme. This set includes all process elements relevant to the quality control theme; process elements outside this set are irrelevant, meaning the quality control element set can be considered a maximally frequent itemset. Each quality control theme can have a corresponding quality control element set. In one example, the quality control element set can be extracted from the process elements corresponding to a historical production record based on the frequency of the process elements appearing in that record.

[0036] For example, if 1000 historical production records are received, and 324 of these records have a quality control theme of dimensional consistency less than 78%, the corresponding quality control elements are such as Al content in raw materials greater than A% and Fe content in raw materials less than B%. Calculations show that the frequency of the quality control element with Al content greater than A% in the 324 historical production records is a%, and the frequency of the quality control element with Fe content less than B% in the 324 historical production records is b%. In this case, a frequency threshold M can be preset. Based on the relationship between frequency and frequency threshold (i.e., the relationship between a%, b%, etc. and M), the process elements related to dimensional consistency less than 78% can be determined, and these process elements can be incorporated into the quality control element set.

[0037] This quality control element set can contain two or more process elements. Figure 2 shows a schematic diagram of the process of constructing a process element set. As shown in Figure 2, there are relationships between process elements (i.e., elements) in the same process element set. It can be seen that in the process of full-process chain quality control optimization, there can be 6 process element sets constructed. Among them, BF is an element set containing process elements from two processes, while A is an element set containing process elements from four processes.

[0038] Step S14: Based on the set of quality control elements, determine the quality control optimization strategy for the process chain.

[0039] Among them, the quality control optimization strategy is the strategy for determining the process indicators and their values ​​in the quality control elements. Specifically, the set of quality control elements can be applied to the production process of quartz diffuser tubes, and the values ​​of each process indicator in the process chain can be determined by using the values ​​of the process indicators in the set of quality control elements.

[0040] Since each process element in the quality control element set is related to the quality control theme, any subset of process elements in the quality control element set is also related to the quality control theme. In one example, multiple quality control element subsets can be generated based on the quality control element set according to requirements, and then a quality control optimization strategy can be generated based on the quality control element subsets.

[0041] In the embodiments of this specification, after obtaining the historical production records of the quartz diffuser, the quality control themes and process elements of each historical production record are extracted sequentially. Then, a quality control element set corresponding to each quality control theme is extracted from the process elements, and a quality control optimization strategy is determined based on the quality control element set. This process, by constructing a quality control element set, extracts process elements related to the quality control themes in the quartz diffuser's process chain, avoiding process elements that are numerically supportive but actually meaningless to the quality control themes. This achieves data-driven optimization of the quartz diffuser's process chain, thereby helping to improve the quality control optimization effect of the quartz diffuser.

[0042] In the above-mentioned quality control optimization scheme for quartz diffuser tubes, there is no need to consider the order of each process element, only the frequency of their common occurrence. Therefore, process elements related to a specific quality control theme can be directly extracted from the process elements of the entire process chain to form a quality control element set.

[0043] However, for some quality control topics, the corresponding process indicators are determined within a specific process. For example, regarding the quality control topic of dimensional consistency in quartz diffusers, it's clear that the dimensional consistency is determined during the cutting process and will not change in subsequent processes. In this case, extracting the set of quality control elements corresponding to the dimensional consistency topic from the entire process chain would increase the computational load. In one possible implementation, the process element extraction operation on each sub-record in the historical production record to obtain multiple process elements includes: determining the quality inspection process corresponding to the quality control topic from the quartz diffuser process chain; and performing process element extraction operations on the sub-records corresponding to the processes before and the sub-records corresponding to the quality inspection process in the process chain to obtain multiple process elements.

[0044] Among them, the quality inspection process refers to the process of inspecting the process indicators in the quality control subject. For example, for a quality control subject such as the dimensional consistency of quartz diffuser tubes, the quality inspection process is the dimensional inspection process after dimensional cutting.

[0045] After determining the quality inspection process corresponding to the quality control theme, process elements can be extracted only from the quality inspection process and the processes preceding the quality inspection process in the process chain. This can reduce the workload of determining the process elements related to the quality control theme, thereby increasing the speed of determining the process elements related to the quality control theme.

[0046] In the process of mining the quality control element set, it is obvious that process elements with very low occurrence frequency have a low relevance to the quality control theme. In one possible implementation, the step of extracting a quality control element set containing process elements related to the quality control theme from the process elements based on the frequency of occurrence of the process elements in historical production records related to the quality control theme includes: determining a first number of historical production records with the quality control theme; determining a second number of historical production records with the quality control theme and containing one of the process elements; determining the frequency of occurrence of the process element in the historical production records related to the quality control theme based on the ratio of the first number to the second number; if the frequency is greater than a preset value, taking the process element corresponding to the second number as a qualified process element; and extracting the quality control element set from the qualified process elements.

[0047] Among them, qualified process elements are process elements that can be used to determine the set of quality control elements.

[0048] Specifically, for each quality control theme, first determine the number of historical production records with that theme (i.e., the first quantity). Then, from these historical production records, sequentially determine the number of historical production records with any one type of process element (i.e., the second quantity). The ratio of the second quantity to the first quantity can then be used as the frequency corresponding to that process element. In this way, by comparing this frequency with a preset value, qualified process elements (those with a frequency greater than the preset value) can be determined. Furthermore, a quality control element set can be extracted solely from the qualified process elements.

[0049] In the above process, qualified process elements are identified from the process elements based on their corresponding frequencies, and then the set of quality control elements corresponding to the quality control theme is determined from the qualified process elements. This process removes process elements with low relevance to the quality control theme by using the frequencies of the process elements, thereby increasing the speed and reducing the complexity of determining the set of quality control elements.

[0050] Under normal circumstances, the quality control element set corresponding to a quality control theme will contain multiple process elements. That is, it is possible that multiple process elements jointly affect the value of the process index in the quality control theme. Therefore, after obtaining the frequency corresponding to a single process element, it is also necessary to consider the frequency of multiple process elements appearing in the same historical production record at the same time. In a possible implementation manner, the extracting the quality control element set from the qualified process elements includes: determining a third quantity of historical production records that have the quality control theme and contain two of the qualified process elements; in the case that the ratio of the third quantity to the first quantity is greater than a preset value, constructing an initial dual-element set; adding at least one qualified process element outside the initial dual-element set to the initial dual-element set to obtain a candidate quality control element set; determining a fourth quantity of historical production records that have the quality control theme and contain the qualified process elements in the candidate quality control element set; in the case that the ratio of the fourth quantity to the first quantity is greater than a preset value, taking the candidate quality control element set corresponding to the quality control theme that contains the most qualified process elements as the quality control element set.

[0051] The process of determining the quality control element set can be a process of gradually adding elements to the quality control element set based on the qualified process elements. That is, after determining the qualified process elements, the frequency of two qualified process elements appearing in the same historical production record can be determined first, and then the frequency of more than two qualified process elements appearing in the same historical production record can be determined.

[0052] Specifically, for any quality control theme, the frequency of any two qualified process elements appearing simultaneously in the historical production records corresponding to the quality control theme can be determined first (this frequency is the ratio of the third quantity to the first quantity, and the third quantity is the number of historical production records that have the quality control theme and contain two qualified process elements). In the case that this frequency is greater than the preset value, an initial dual-element set is constructed.

[0053] Furthermore, the qualified process elements can be added to the initial dual-element set in sequence to obtain a candidate quality control element set with K (K > 2) elements. In a possible implementation manner, the adding at least one qualified process element outside the initial dual-element set to the initial dual-element set to obtain a candidate quality control element set includes: numbering the qualified process elements corresponding to the quality control theme to determine the numbers of the qualified process elements corresponding to the quality control theme; for the candidate quality control element set containing K elements, adding the qualified process elements after the qualified process element with the largest number in the candidate quality control element set to the initial dual-element set in the order of numbers to obtain a candidate quality control element set containing K + 1 elements, where K < N - 1 and K > 3, and N is the number of qualified process elements corresponding to the quality control theme.

[0054] Since calling qualified process elements in sequence can avoid missing possible candidate quality control element sets, qualified process elements can be numbered first, and qualified process elements can be called one by one based on the number, and the qualified process element can be added to the initial dual-element set.

[0055] Specifically, for any initial two-element set, the number of each qualified process element in the initial two-element set can be determined first. Then, qualified process elements (number > M) following the qualified process element with the largest number (e.g., number M) can be added to the initial two-element set in order of their numbers to obtain at least one candidate quality control element set of K=3 elements.

[0056] The process of determining the candidate quality control element set with K>3 is the process of adding a qualified process element to the candidate quality control element set with K-1 elements. This process is similar to the process of determining the candidate quality control element set with K=3 elements, and will not be described in detail here.

[0057] Next, referring to the method for determining the frequency of occurrence of the two qualified process elements, the frequency at which K qualified process elements in the candidate quality control element set appear simultaneously in the same historical production record can be determined (this frequency is the ratio of the fourth quantity to the first quantity, where the fourth quantity is the number of historical production records with a quality control theme and containing qualified process elements in the candidate quality control element set). Based on this frequency, the quality control element set can be determined from the candidate quality control element set.

[0058] The above process, based on an initial two-element set with two qualified process elements, determines a multi-element quality control element set by adding qualified process elements. This process achieves the determination of a candidate quality control element set with an increasing number of elements, avoiding omissions in the candidate quality control element set, improving the accuracy of the quality control element set determined based on the candidate quality control element set, and thus improving the quality control optimization effect of quartz diffuser tubes.

[0059] After obtaining the quality control element set, the production process can be optimized for quality control based on the quality control element set. In one possible implementation, determining the quality control optimization strategy for the process chain based on the quality control element set includes: obtaining the production target of the quartz diffuser and determining the target quality control theme corresponding to the production target, wherein the production target includes a first production target for good products and a second production target for defective products; when the production target is the first production target, determining the quality control optimization strategy based on each process element in the quality control element set corresponding to the target quality control theme; when the production target is the second production target, determining the quality control optimization strategy based on the matching operation between the quality control element set corresponding to the target quality control theme and the generated production records.

[0060] The production objective is the goal of producing quartz diffusers, such as verifying a set of quality control elements, avoiding dimensional consistency below 78% (for defective products), and achieving dimensional consistency above 98% (for good products). The production objectives for different batches of quartz diffusers can be the same or different. Furthermore, the same batch of quartz diffusers can have multiple production objectives. When production objectives differ, the corresponding quality control themes for different batches of quartz diffusers are different, and consequently, the sets of quality control elements used are also different. The generated production records are sub-records corresponding to the processes completed during the production of quartz diffusers.

[0061] The methods for determining quality control optimization strategies for good products and for defective products differ. Specifically, the quality control optimization strategy for good products is determined before the production of quartz diffuser tubes, based on the set of quality control elements corresponding to the target quality control theme. The optimization strategy is obtained by using the values ​​of the process indicators of each process element in the set of quality control elements.

[0062] The quality control optimization strategy for defective products is determined as quartz diffuser tube production progresses, based on the matching operation between the generated production records and the quality control element set corresponding to the target quality control theme. This optimization strategy can be continuously adjusted as production proceeds. In one possible implementation, when the production target is the second production target, determining the quality control optimization strategy based on the matching operation between the quality control element set corresponding to the target quality control theme and the generated production records includes: when the production target is the second production target, extracting the target process element corresponding to the process element in the quality control element set from the generated production records; and, if the target process element matches the process element in the quality control element set, determining the quality control optimization strategy based on process elements other than the target process element in the quality control element set.

[0063] Among them, the target process elements are the process elements already involved in the production of quartz diffuser tubes.

[0064] Specifically, we can first extract the target process element corresponding to the process element in the quality control element set from the generated production records (i.e., the sub-records corresponding to local processes, since some processes have not yet been carried out and there are no corresponding sub-records), and then match the target process element with the process element in the quality control element set.

[0065] This matching process determines whether the values ​​of the corresponding process indicators are the same for both. If they are the same, it means that the target process element exists in both the quality control element set and the already produced production record. For example, if the quality control element set contains three process elements a, b, and c, and the generated production record includes the target process element a', and the process indicators of a and a' are the same, then the matching process determines whether the values ​​of the process indicators in a and a' are the same. If they match, then a = a'.

[0066] If there is a mismatch between the target process elements and the process elements in the quality control element set, it means that the production record of this batch of quartz diffusers fails to meet all the process elements in the quality control element set. The probability of the produced quartz diffusers being defective products corresponding to the target quality control theme is small. The quality control optimization strategy can be to produce according to the conventional process without performing any unnecessary operations.

[0067] If the target process elements match the process elements in the quality control element set, it means that the existing production records of this batch of quartz diffuser tubes fully meet the process elements in the quality control element set. If the target process elements generated in the subsequent production process also match the process elements in the quality control element set, the probability of the produced quartz diffuser tubes reaching the defective product corresponding to the target quality control theme is relatively high. At this time, it is necessary to determine the quality control optimization strategy based on the process elements other than the target process elements in the quality control element set.

[0068] Following the example above, when 'a' matches with 'a', a quality control optimization strategy needs to be determined based on process elements other than the target process element (i.e., 'b' and 'c'). Clearly, this quality control optimization strategy only needs to ensure that future target process elements 'b' and 'b' do not match and / or future target process elements 'c' and 'c' do not match. As production progresses, if the target process element 'b' corresponding to a newly generated production record matches 'b', and the previously established quality control optimization strategy only describes making 'b' and 'b' mismatch, then a new quality control optimization strategy needs to be formulated. This strategy should include making future target process elements 'c' and 'c' mismatch. In other words, the quality control optimization strategy can be updated as production progresses.

[0069] In one possible implementation, when the target process element matches the process elements in the quality control element set, determining the quality control optimization strategy based on process elements other than the target process element in the quality control element set includes: obtaining a preset value range of process indicators in the target process element; determining a possible value range corresponding to the target process element, excluding the actual value, based on the actual value of the process indicator of the target process element in the generated production record; determining a target value of the process indicator in the target process element based on the possible value range and the preset value range; and determining the quality control optimization strategy based on the target value.

[0070] The preset value range refers to the range of values ​​for each process indicator in the process chain, and this preset value range can be determined by experts in the field. The possible value range is the range of values ​​excluding the actual values ​​(the values ​​of the target process elements in the production record). The target value is the value of the process indicator in the quality control optimization strategy. The target value can be determined jointly based on the preset value range and the possible value range, while the quality control optimization strategy is determined based on the target value.

[0071] Taking process element c as an example, the target value of the process indicator in c' can be determined based on the values ​​of the process indicators in c and the preset value range of the target process element c' (depending on the specific process). Specifically, the possible value range of c' (excluding the actual values ​​of the process indicators in c) can be determined based on the values ​​of the process indicators in c. The intersection of this possible value range and the preset value range will yield the value of the process indicator in c'.

[0072] In the above embodiments, different quality control optimization strategies are determined based on different production objectives. This process improves the robustness of the quality control optimization process by refining the process of generating the quality control optimization strategy. Simultaneously, when determining the quality control optimization strategy corresponding to the second production objective, the matching of the target process elements with the process elements in the quality control element set enables real-time updates of the quality control optimization strategy, improving the adaptability of the quality control optimization process.

[0073] Figure 3 shows a block diagram of a quality control optimization device for a quartz diffuser according to an embodiment of the present disclosure. This quality control optimization device for the quartz diffuser can be a terminal device, a server, or other processing equipment. The terminal device can be a user equipment (UE), mobile device, user terminal, terminal, cellular phone, cordless phone, personal digital assistant (PDA), handheld device, computing device, in-vehicle device, wearable device, etc.

[0074] In some possible implementations, the quality control optimization device for the quartz diffuser can be implemented by the processor calling computer-readable instructions stored in memory.

[0075] As shown in Figure 3, the quality control optimization device 30 for the quartz diffusion tube may include: a recording module 31, used to acquire historical production records related to the quartz diffusion tube with preset quality requirements, wherein the historical production records include sub-records of the process in the process chain of the quartz diffusion tube; an element module 32, used to perform a quality control theme extraction operation on the historical production records to obtain the quality control theme corresponding to the historical production records, and to perform a process element extraction operation on each sub-record in the historical production records to obtain multiple process elements; an element set module 33, used to extract a quality control element set containing process elements related to the quality control theme from the process elements based on the frequency of the process elements appearing in the historical production records related to the quality control theme, wherein process elements outside the quality control element set are not related to the quality control theme; and a strategy module 34, used to determine a quality control optimization strategy for the process chain based on the quality control element set.

[0076] The present invention also provides a quality control optimization system for quartz diffuser tubes, including a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the computer program stored in the memory to implement the steps of the aforementioned quality control optimization method for quartz diffuser tubes.

[0077] This invention is now complete.

[0078] In summary, in the embodiments of this specification, after obtaining the historical production records of the quartz diffuser, the quality control themes and process elements of each historical production record are extracted sequentially. Then, a quality control element set corresponding to each quality control theme is extracted from the process elements, and a quality control optimization strategy is determined based on the quality control element set. This process, by constructing a quality control element set, extracts process elements related to the quality control themes in the quartz diffuser's process chain, avoiding process elements that are numerically supportive but actually meaningless to the quality control themes. This achieves data-driven optimization of the quartz diffuser's process chain, thereby helping to improve the quality control optimization effect of the quartz diffuser.

[0079] The optional embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above embodiments. Within the scope of the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical solutions of the embodiments of the present invention, and these simple modifications all fall within the protection scope of the embodiments of the present invention.

[0080] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not describe the various possible combinations separately.

[0081] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a microcontroller, chip, or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0082] Furthermore, various different implementations of the present invention can be combined arbitrarily, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed in the present invention.

Claims

1. A method for quality control optimization of a quartz diffuser tube, characterized in that, Comprising: Obtaining historical production records related to a quartz diffusion tube meeting preset quality requirements, where the historical production records contain sub-records of processes in the process chain of the quartz diffusion tube; performing a quality control theme extraction operation on the historical production records to obtain the quality control theme corresponding to the historical production records, and performing a process element extraction operation on each sub-record in the historical production records to obtain a plurality of process elements; Based on the frequency of occurrence of the process elements in the historical production records related to the quality control theme, extracting, from the process elements, a set of quality control elements including process elements related to the quality control theme, where process elements outside the set of quality control elements are not related to the quality control theme; determining a quality control optimization strategy for the process chain based on the set of quality control elements.

2. The method according to claim 1, characterized in that, The extracting, from the process elements, a set of quality control elements including process elements related to the quality control theme based on the frequency of occurrence of the process elements in the historical production records related to the quality control theme includes: determining a first quantity of historical production records having the quality control theme, and determining a second quantity of historical production records having the quality control theme and containing one of the process elements; determining the frequency of occurrence of the process element in the historical production records related to the quality control theme according to the ratio of the first quantity to the second quantity; in the case where the frequency is greater than a preset value, taking the process element corresponding to the second quantity as a qualified process element; and extracting the set of quality control elements from the qualified process elements.

3. The method according to claim 2, characterized in that, The extracting the set of quality control elements from the qualified process elements includes: determining a third quantity of historical production records having the quality control theme and containing two of the qualified process elements; in the case where the ratio of the third quantity to the first quantity is greater than a preset value, constructing an initial two-element set containing two of the qualified process elements; adding at least one qualified process element outside the initial two-element set to the initial two-element set to obtain a candidate set of quality control elements; determining a fourth quantity of historical production records having the quality control theme and containing the qualified process elements in the candidate set of quality control elements; in the case where the ratio of the fourth quantity to the first quantity is greater than a preset value, taking the candidate set of quality control elements corresponding to the quality control theme and containing the most qualified process elements as the set of quality control elements.

4. The method according to claim 3, characterized in that, The adding at least one qualified process element outside the initial two-element set to the initial two-element set to obtain a candidate set of quality control elements includes: performing numbering on the qualified process elements corresponding to the quality control theme to determine the numbers of the qualified process elements corresponding to the quality control theme; for a candidate set of quality control elements containing K elements, adding the qualified process elements after the qualified process element with the largest number in the candidate set of quality control elements to the initial two-element set in sequential order of numbers to obtain a candidate set of quality control elements containing K + 1 elements, where K < N - 1 and K > 3, and N is the number of qualified process elements corresponding to the quality control theme.

5. The method according to claim 1, characterized in that, The step of determining a quality control optimization strategy for the process chain based on the quality control element set includes: obtaining the production target of the quartz diffuser and determining the target quality control theme corresponding to the production target, wherein the production target includes a first production target for good products and a second production target for defective products; when the production target is the first production target, determining the quality control optimization strategy according to each process element in the quality control element set corresponding to the target quality control theme; when the production target is the second production target, determining the quality control optimization strategy according to the matching operation between the quality control element set corresponding to the target quality control theme and the generated production records.

6. The method according to claim 5, characterized in that, When the production target is the second production target, determining the quality control optimization strategy based on the matching operation between the quality control element set corresponding to the target quality control theme and the generated production records includes: when the production target is the second production target, extracting the target process element corresponding to the process element in the quality control element set from the generated production records; and when the target process element matches the process element in the quality control element set, determining the quality control optimization strategy based on process elements other than the target process element in the quality control element set.

7. The method according to claim 6, characterized in that, When the target process element matches the process elements in the quality control element set, the quality control optimization strategy is determined based on process elements other than the target process element in the quality control element set. This includes: obtaining a preset value range for the process indicators in the target process element; determining a possible value range for the target process element that does not include the actual value based on the actual value of the process indicator in the generated production record; and determining a target value for the process indicator in the target process element based on the possible value range and the preset value range.

8. The method according to claim 1, characterized in that, The process element extraction operation on each sub-record in the historical production record to obtain multiple process elements includes: determining the quality inspection process corresponding to the quality control theme from the process chain of the quartz diffuser; performing process element extraction operation on the sub-records corresponding to the processes before the quality inspection process in the process chain and the sub-records corresponding to the quality inspection process to obtain multiple process elements.

9. A quality control and optimization device for a quartz diffuser tube, characterized in that, include: The recording module is used to acquire historical production records related to quartz diffusion tubes with preset quality requirements. The historical production records include sub-records of the process in the process chain of the quartz diffusion tube. The element module is used to perform quality control theme extraction operations on the historical production records to obtain the quality control theme corresponding to the historical production records, and to perform process element extraction operations on each sub-record in the historical production records to obtain multiple process elements. The element set module is used to extract a quality control element set containing process elements related to the quality control theme from the process elements based on the frequency of the process elements appearing in historical production records related to the quality control theme. Process elements outside the quality control element set are not related to the quality control theme. The strategy module is used to determine the quality control optimization strategy for the process chain based on the set of quality control elements.

10. A quality control optimization system for a quartz diffuser tube, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the computer program is executed by the processor, it implements the steps of the quality control optimization method for a quartz diffuser as described in any one of claims 1-8.

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