Quality improvement method and device based on process stability and electronic equipment

Abstract

The invention provides a quality improvement method and device based on process stability and electronic equipment. The method comprises the following steps: acquiring process information of a plurality of processes of a target object, respectively acquiring quality detection data of each process in a first preset time period at intervals of the first preset time period, and acquiring quality standard data of each process according to the quality standard data and the quality detection data of each process; working procedure evaluation data of each working procedure in each workshop associated with each working procedure are calculated, and quality improvement measures of each workshop associated with each working procedure are determined according to the working procedure evaluation data of each working procedure in each workshop associated with each working procedure. According to the method, the quality detection data of the working procedures in each workshop are automatically collected, the working procedure evaluation data of each working procedure in each workshop are calculated, and the accuracy of the evaluation data and the calculation efficiency are improved. And targeted quality improvement measures are provided for each workshop, and the process stability of each workshop is improved, so that the quality and the production stability of the target object are improved.

Description

Technical Field

[0001] The present application relates to the field of quality inspection technology, and in particular to a quality improvement method, device and electronic equipment based on process stability. Background Art

[0002] In the field of product production, product quality is of vital importance. The quality of a product is usually determined by the quality of the semi-finished products generated by each processing step in the production process, and the quality of the semi-finished products generated by each processing step can be determined by the process stability. In other words, the higher the process stability, the higher the quality of the semi-finished products generated by the process, which makes the product quality higher.

[0003] The relevant method for evaluating product quality is mainly to collect quality inspection data of the processing procedure through users. Users calculate the process stability of the processing procedure based on the quality inspection data and determine the quality of the product.

[0004] The above-mentioned method for evaluating product quality requires a large amount of manpower, the calculation process is time-consuming and the stability of the calculation results is low. The product production quality cannot be accurately evaluated based on the calculation results, making the product production quality unstable. Summary of the invention

[0005] The present application provides a quality improvement method, device and electronic equipment based on process stability, which are used to solve the problem that related product quality detection methods consume a lot of manpower and have low evaluation efficiency and stability of evaluation results, resulting in unstable product production quality.

[0006] In a first aspect, the present application provides a quality improvement method based on process stability, comprising:

[0007] Acquire process information of multiple processes of a target object; wherein the process information includes quality standard data;

[0008] At intervals of a first preset time period, respectively collect quality inspection data of each process within the first preset time period; wherein the quality inspection data of the process includes multiple groups of process quality inspection data of each workshop in at least one workshop associated with the process;

[0009] Calculate and obtain process evaluation data of each process in each workshop associated with each process according to the quality standard data and the quality inspection data of each process;

[0010] According to the process evaluation data of each of the processes in each of the workshops associated with each of the processes, quality improvement measures for each of the workshops associated with each of the processes are determined respectively.

[0011] In some embodiments, the process information further includes a workshop identification, and the process evaluation data of each process in each workshop associated with each process is calculated based on the quality standard data of each process and the quality inspection data, including:

[0012] Traversing each of the processes as a target process;

[0013] According to the workshop identifier of the target process, at least one workshop associated with the target process is determined, and each of the at least one workshop associated with the target process is traversed as an associated workshop;

[0014] Process evaluation data of the target process in the associated workshop is obtained by calculation according to a plurality of groups of process quality detection data of the target process in the associated workshop and the quality standard data of the target process.

[0015] In some embodiments, determining the quality improvement measures of each workshop associated with each process according to the process evaluation data of each process in each workshop associated with each process includes:

[0016] When there is process evaluation data not less than a first threshold value in the process evaluation data in each workshop associated with each of the processes, the process corresponding to the process evaluation data is determined to be the first process, and the workshop corresponding to the process evaluation data is determined to be the first target workshop;

[0017] At intervals of a second preset time period, multiple groups of process quality inspection data of the first process in the first target workshop within the second preset time period are collected; wherein the interval length of the second preset time period is greater than the interval length of the first preset time period;

[0018] Execute the steps of calculating and obtaining the process evaluation data of each process in each workshop associated with each process based on the quality standard data and the quality inspection data of each process.

[0019] In some embodiments, the quality standard data includes a quality standard upper limit value and a quality standard lower limit value;

[0020] Before collecting multiple sets of process quality inspection data of the first process in the first target workshop within the second preset time period at each interval of the second preset time period, the method further includes:

[0021] When the process evaluation data of the first process in the first target workshop is not less than a second threshold, determining the upper limit value and the lower limit value of the quality standard of the first process; wherein the second threshold value is greater than the first threshold value;

[0022] Update the upper limit value of the quality standard of the first process to the first standard upper limit value, and update the lower limit value of the quality standard of the first process to the first standard lower limit value; wherein, the first standard upper limit value is smaller than the upper limit value of the quality standard of the first process before updating, and the first standard lower limit value is larger than the lower limit value of the quality standard of the first process before updating.

[0023] In some embodiments, the step of determining the quality improvement measures for each workshop associated with each process according to the process evaluation data of each process in each workshop associated with each process further includes:

[0024] When there is process evaluation data in each workshop associated with each process that is less than the first threshold value and not less than the third threshold value, determining the workshop corresponding to the process evaluation data as the second process, and determining the workshop corresponding to the process evaluation data as the second target workshop;

[0025] At intervals of a third preset time period, multiple groups of process quality inspection data of the second process in the second target workshop within the third preset time period are collected, wherein the third threshold value is less than the first threshold value, and the interval length of the third preset time period is less than the interval length of the first preset time period;

[0026] Generate a first prompt message and send it to the production equipment of the second target workshop; wherein the first prompt message is used to prompt the user to perform quality inspection on the production equipment of the second target workshop;

[0027] Execute the steps of calculating and obtaining the process evaluation data of each process in each workshop associated with each process based on the quality standard data and the quality inspection data of each process.

[0028] In some embodiments, the process evaluation data includes a process performance evaluation value;

[0029] Correspondingly, after collecting multiple sets of process quality inspection data of the second process in the second target workshop within the third preset time period at intervals of the third preset time period, the method further includes:

[0030] The process capability evaluation value of the second process in the second target workshop is calculated based on the multiple sets of process quality inspection data of the second process in the second target workshop and the quality standard data of the second process in each fourth preset time period; wherein the interval length of the fourth preset time period is greater than the length of the first preset time period;

[0031] When the process capability evaluation value of the second process in the second target workshop reaches the first threshold, collecting multiple sets of process quality inspection data of the second process in the second target workshop within the first preset time period at intervals of the first preset time period;

[0032] Execute the steps of calculating and obtaining the process evaluation data of each process in each workshop associated with each process based on the quality standard data and the quality inspection data of each process.

[0033] In some embodiments, the step of determining the quality improvement measures for each workshop associated with each process according to the process evaluation data of each process in each workshop associated with each process further includes:

[0034] When there is process evaluation data less than a third threshold value in the process evaluation data in each workshop associated with each of the processes, determining the process corresponding to the process evaluation data as a third process, and determining the workshop corresponding to the process evaluation data as a third target workshop;

[0035] A pause instruction is generated and sent to the production equipment in the third target workshop; wherein the pause instruction is used to control the production equipment in the third target workshop to stop executing the third process.

[0036] In some embodiments, the process evaluation data includes a process capability evaluation value;

[0037] Correspondingly, the process evaluation data of the target process in the associated workshop is calculated based on the multiple groups of process quality detection data of the target process in the associated workshop and the quality standard data of the target process, including:

[0038] According to multiple groups of process quality inspection data of the target process in the associated workshop, the quality inspection mean value of the target process in the associated workshop is calculated;

[0039] Calculate the first standard deviation of the target process in the associated workshop according to the quality inspection mean of the target process in the associated workshop and the quality inspection data of the target process;

[0040] A process capability evaluation value of the target process in the associated workshop is calculated based on the quality inspection mean value of the target process in the associated workshop, the first standard deviation, and the quality standard data of the target process.

[0041] In some embodiments, the process evaluation data includes a process performance evaluation value;

[0042] The process evaluation data of the target process in the associated workshop is calculated based on the multiple sets of process quality detection data of the target process in the associated workshop and the quality standard data of the target process, including:

[0043] According to multiple groups of process quality inspection data of the target process in the associated workshop, a second standard deviation of the target process in the associated workshop is calculated;

[0044] A process performance evaluation value of the target process in the associated workshop is calculated based on the second standard deviation of the target process in the associated workshop and the quality standard data of the target process.

[0045] In some embodiments, after calculating the process evaluation data of each process in each workshop associated with each process according to the quality standard data and the quality inspection data of each process, the method further includes:

[0046] A process stability analysis diagram corresponding to each of the processes is generated according to the process evaluation data of each of the at least one workshop associated with each of the processes.

[0047] In a second aspect, the present application provides a quality improvement device based on process stability, comprising:

[0048] An acquisition module, used to acquire process information of multiple processes of a target object; wherein the process information includes quality standard data;

[0049] A data collection module, used for collecting quality inspection data of each process within the first preset time period at intervals of the first preset time period; wherein the quality inspection data of the process includes multiple groups of process quality inspection data of each workshop in at least one workshop associated with the process;

[0050] A calculation module, used for calculating, based on the quality standard data of each process and the quality inspection data, process evaluation data of each process in each workshop associated with each process;

[0051] The determination module is used to determine the quality improvement measures of each workshop associated with each process according to the process evaluation data of each process in each workshop associated with each process.

[0052] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor and a memory communicatively connected to the processor; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory, so that the processor executes the quality improvement method based on process stability as described in the first aspect above.

[0053] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer execution instructions are stored. When a processor executes the computer execution instructions, the quality improvement method based on process stability as described in the first aspect above is implemented.

[0054] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the quality improvement method based on process stability as described in the first aspect above.

[0055] The present application provides a quality improvement method, device and electronic device based on process stability, which obtains process information of multiple processes of a target object, collects multiple sets of process quality detection data of each workshop in at least one workshop associated with each process within the first preset time period at intervals, and calculates process evaluation data of each process in each associated workshop according to the quality standard data of each process and the multiple sets of process quality detection data of each workshop associated with each process. According to the process evaluation data of each process in each associated workshop, the quality improvement measures of each workshop associated with each process are determined respectively. In this way, the process evaluation data of each process in each associated workshop can be calculated according to the multiple sets of process quality detection data and the corresponding quality standard data of each process in each associated workshop, so as to determine the quality improvement measures corresponding to each workshop, improve the accuracy and calculation efficiency of the evaluation data, and propose targeted quality improvement measures for different workshops to improve the process stability of each workshop, thereby improving the quality and production stability of the target object. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0057] Figure 1 A schematic diagram of the quality improvement system architecture based on process stability provided in an embodiment of the present application;

[0058] Figure 2 Schematic diagram of the process of the quality improvement method based on process stability provided in the embodiment of the present application Figure 1 ;

[0059] Figure 3 Schematic diagram of the process of the quality improvement method based on process stability provided in the embodiment of the present application Figure 2 ;

[0060] Figure 4 Schematic diagram of the process of the quality improvement method based on process stability provided in the embodiment of the present application Figure 3 ;

[0061] Figure 5 Schematic diagram of the process of the quality improvement method based on process stability provided in the embodiment of the present application Figure 4 ;

[0062] Figure 6 Schematic diagram of the process of the quality improvement method based on process stability provided in the embodiment of the present application Figure 5 ;

[0063] Figure 7 Schematic diagram of the process of the quality improvement method based on process stability provided in the embodiment of the present application Figure 6 ;

[0064] Figure 8 Schematic diagram of the process of the quality improvement method based on process stability provided in the embodiment of the present application Figure 7 ;

[0065] Fig. 9 A schematic diagram of the structure of a quality improvement device based on process stability provided in an embodiment of the present application;

[0066] Fig.10 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0067] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0068] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0069] First, the terms involved in this application are explained:

[0070] Process ID is used to indicate the unique identity of the process.

[0071] Quality standard data refers to the production standard of a process, which is used to measure the quality of semi-finished products produced by the process. Semi-finished products refer to target objects that have not completed all processing steps.

[0072] Quality inspection data refers to one or more quality inspection data of semi-finished products produced when the process is completed.

[0073] Workshop ID is used to indicate the unique identity of a workshop. Each workshop is used to perform one or more processes.

[0074] Process evaluation data is used to indicate the degree to which the process capability of the process executed in the workshop meets the product quality standard requirements (specification range, etc.). Process evaluation data can be used to determine the degree of process stability and the trend of process stability changes over a period of time.

[0075] The process evaluation data includes the process capability evaluation value and the process performance evaluation value. The process capability evaluation value is used to indicate the ability of the product to meet the standards and specifications during the process, and the process performance evaluation value is used to indicate the ability of the product to meet the standards and specifications after the process is completed.

[0076] The process capability assessment value can also be called the process capability index, which refers to the actual processing capability of the process performed by the production equipment in the workshop under a controlled state (stable state) for a certain period of time.

[0077] The process refers to the comprehensive effect of five basic quality factors, namely, the operator, workshop production equipment, processing raw materials, processing methods, and workshop production environment, that is, the production process of the product.

[0078] The existing method of evaluating product quality usually involves users collecting quality inspection data of the processing procedures, and the users calculating the process stability of the processing procedures based on the quality inspection data to determine the quality of the product.

[0079] The above method is too dependent on manual labor and requires a large amount of manpower, which makes the calculation process time-consuming and the stability of the calculation results is low. The product production quality cannot be accurately assessed based on the calculation results, making the product production quality unstable.

[0080] In view of the above problems, the embodiment of the present application proposes a quality improvement method, device and electronic device based on process stability. The method includes: obtaining process information of multiple processes of a target object, collecting multiple sets of process quality detection data of each workshop in at least one workshop associated with each process in the first preset time period at intervals of a first preset time period, and calculating the process evaluation data of each process in each associated workshop according to the quality standard data of each process and the multiple sets of process quality detection data of each workshop associated with each process. According to the process evaluation data of each process in each associated workshop, the quality improvement measures of each workshop associated with each process are determined respectively. In this way, the process evaluation data of each process in each associated workshop can be calculated according to the process quality detection data and the corresponding quality standard data of each process in each associated workshop, so as to determine the quality improvement measures corresponding to each workshop, improve the accuracy and calculation efficiency of the evaluation data, and propose targeted quality improvement measures for different workshops to improve the process stability of each workshop, thereby improving the quality and production stability of the target object.

[0081] The quality improvement method based on process stability provided in this application can be applied to Figure 1 The schematic diagram of the quality improvement system architecture based on process stability is shown in Figure 1. Figure 1 As shown, the quality improvement system based on process stability includes: electronic equipment and production equipment in multiple workshops ( Figure 1 Only two are shown, namely, production equipment 1 in workshop 1 and production equipment 2 in workshop 2). The electronic equipment is respectively connected to each production equipment for communication.

[0082] Among them, the production equipment in the workshop is used to execute one or more processes of the target object. The electronic device can collect multiple groups of process quality inspection data of each workshop in at least one workshop associated with each process within the first preset time period at intervals of the first preset time period, and calculate the process evaluation data of each process in each workshop associated with each process according to the quality standard data and quality inspection data of each process. According to the process evaluation data of each process in each workshop associated with each process, the quality improvement measures of each workshop associated with each process are determined respectively. And corresponding instructions or information are sent to the production equipment of each workshop based on the quality improvement measures.

[0083] The above-mentioned electronic devices may include mobile phones, PCs, tablet computers and other devices, which are not specifically limited here.

[0084] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0085] Figure 2 This is a flow chart of a quality improvement method based on process stability provided in an embodiment of the present application. Figure 2 , the quality improvement method based on process stability includes the following steps:

[0086] S101. Acquire process information of multiple processes of a target object; wherein the process information includes quality standard data.

[0087] Specifically, the target object refers to a product including multiple processing steps, for example, the target object is a mechanical device, or the target object is a daily chemical product.

[0088] Specifically, the process information of each process in the multiple processes of the target object is obtained, wherein the process information includes but is not limited to quality standard data, and the quality standard data is used to measure the quality of the target object corresponding to the process.

[0089] For example, the daily chemical product is paper towels, and the first process of paper towels is to remove moisture. The corresponding quality standard data is: the moisture content range of the paper towels after dehydration = [0.5%, 2%].

[0090] S102. At intervals of a first preset time period, respectively collect quality inspection data of each process within the first preset time period; wherein the quality inspection data of the process includes multiple groups of process quality inspection data of each workshop in at least one workshop associated with the process.

[0091] Specifically, during the production process of the target object, a quality inspection cycle (hereinafter referred to as the first preset time period) can be pre-set to achieve periodic evaluation of the process stability of each process. The first preset time period can be specifically set according to actual conditions. Exemplarily, the first preset time period is the processing time with the largest value among the processing times of multiple processes. Another exemplary method is that the first preset time period is b times the average duration of multiple processes, where b is an integer greater than 1.

[0092] Specifically, at intervals of a first preset time period, multiple groups of process quality inspection data of each workshop in at least one workshop associated with each process within the first preset time period are collected respectively as the quality inspection data of each process within the first time period. The processing time of each process is less than the first preset time period, and correspondingly, the process quality inspection data collected in each workshop within the first time period includes multiple groups.

[0093] It is understandable that the production equipment of each workshop can be used to perform one or more processes, and each process can be completed by the production equipment of one or more workshops. Therefore, the quality inspection data of the same process includes multiple sets of process quality inspection data of each workshop in at least one workshop associated with the process.

[0094] Still taking the target object as paper towels and the process as dehydration as an example, the corresponding process quality detection data is the moisture content. At least one workshop associated with the dehydration process is CJ001, CJ002, and CJ003, and the quality detection data of dehydration includes the moisture content of paper towels in workshop CJ001, the moisture content of paper towels in workshop CJ002, and the moisture content of paper towels in workshop CJ003.

[0095] S103, calculating and obtaining process evaluation data of each process in each workshop associated with each process according to the quality standard data and the quality inspection data of each process.

[0096] Specifically, based on the quality standard data of each process and the periodically collected process quality inspection data of each workshop in at least one workshop associated with each process, the process evaluation data of each process in each workshop associated with each process within each cycle is periodically calculated.

[0097] It can be understood that when the cycle of each workshop is the first preset time period, the process evaluation data of each process in each workshop associated with it within the first preset time period can be calculated based on the quality inspection data of each process collected within the first preset time period.

[0098] It can be understood that when the cycles of each process are different, the process evaluation data of each process in each cycle in each workshop associated with it can be calculated based on the quality inspection data of each process collected in the cycle corresponding to each process.

[0099] Still taking the target object as paper towels and the process as moisture removal as an example, based on the quality inspection data of the moisture removal process within the first preset time period: the moisture content of paper towels in CJ001, the moisture content of paper towels in CJ002, and the moisture content of paper towels in CJ003, and the quality standard data of the moisture removal process: the moisture content range [0.5%, 5%], the process evaluation data of the moisture removal process in the CJ001 workshop, the process evaluation data in the CJ002 workshop, and the process evaluation data in the CJ003 workshop within the first preset time period are calculated respectively.

[0100] S104. Determine quality improvement measures for each workshop associated with each process according to process evaluation data of each process in each workshop associated with each process.

[0101] Specifically, according to the comparison result of the process evaluation data of each process in each workshop associated with each process and the preset threshold, the quality improvement measures corresponding to each workshop associated with each process are determined respectively to improve the process stability of each workshop. The preset threshold includes a first threshold, a second threshold, a third threshold and / or a fourth threshold.

[0102] Figure 3 This is a flow chart of step S103 of the quality improvement method based on process stability provided in the embodiment of the present application. Figure 3 , step S103 of the method comprises the following steps:

[0103] S1031, traversing each of the processes as a target process;

[0104] S1032, determining at least one workshop associated with the target process according to the workshop identifier of the target process, and traversing the at least one workshop associated with the target process to identify each workshop as an associated workshop;

[0105] Specifically, the process information also includes a workshop identification. Each process of the target object is traversed as a target process. According to the workshop identification of the target process, at least one workshop associated with the target process is matched among all workshops associated with the target object, and each workshop in the at least one workshop associated with the target process is traversed as an associated workshop.

[0106] S1033. Calculate process evaluation data of the target process in the associated workshop according to the multiple groups of process quality inspection data of the target process in the associated workshop and the quality standard data of the target process.

[0107] Specifically, based on multiple groups of process quality inspection data of the target process in the associated workshop and the quality standard data of the target process, the process evaluation data of the target process in the associated workshop associated with the target process is calculated, thereby obtaining the process evaluation data of each process in each workshop associated with each process.

[0108] In some embodiments, the process evaluation data includes a process capability evaluation value C pk ;

[0109] Correspondingly, the process evaluation data of the target process in the associated workshop is calculated based on the multiple groups of process quality detection data of the target process in the associated workshop and the quality standard data of the target process, including:

[0110] According to multiple groups of process quality inspection data of the target process in the associated workshop, the quality inspection mean value of the target process in the associated workshop is calculated;

[0111] Calculate the first standard deviation of the target process in the associated workshop according to the quality inspection mean of the target process in the associated workshop and the quality inspection data of the target process;

[0112] A process capability evaluation value of the target process in the associated workshop is calculated based on the quality inspection mean value of the target process in the associated workshop, the first standard deviation, and the quality standard data of the target process.

[0113] Specifically, the process capability evaluation value can be used to evaluate the process stability of the workshop under long-term working conditions, and the corresponding first preset time period can be set to a longer time interval. For example, the first preset time period is 100 hours, or the first preset time period is 200 hours.

[0114] Specifically, after the quality inspection data of each process is collected periodically, the process capability evaluation value of each process in each workshop is calculated based on the quality inspection data of each process collected during the period. The data collection and calculation period of each process is described as the first preset time period. Based on multiple groups of process quality inspection data of the target process in the associated workshop associated with the target process during the first preset time period, the quality inspection mean value of the target process in the associated workshop during each first preset time period is calculated. For details, see formula (1):

[0115]

[0116] Wherein, N represents the number of groups of process quality inspection data of the target process in the associated workshop within the first preset time period, x i Represents the i-th group of process quality inspection data of the target process in the associated workshop within the first preset time period.

[0117] Specifically, according to the quality inspection mean of the target process in the associated workshop in each first preset time period and the quality inspection data of the target process, the first standard deviation of the target process in the associated workshop in each first preset time period is calculated, specifically referring to formula (2):

[0118]

[0119] Specifically, according to the upper limit value and lower limit value of the quality standard of the target process, the quality standard data tolerance of the target process is calculated: see formula (3):

[0120] T=|T u -TL |, where T u Indicates the upper limit of the quality standard, T L Indicates the lower limit of quality standard.

[0121] Specifically, according to the quality inspection mean, the first standard deviation and the quality standard data tolerance of the target process in the associated workshop in each first time period, the process capability evaluation value of the target process in the associated workshop in each first time period is calculated, see formula (4):

[0122]

[0123] in, M represents the median value of the quality standard data of the target process.

[0124] In some embodiments, the process evaluation data includes a process performance evaluation value (P pk );

[0125] The process evaluation data of the target process in the associated workshop is calculated based on the multiple sets of process quality detection data of the target process in the associated workshop and the quality standard data of the target process, including:

[0126] According to multiple groups of process quality inspection data of the target process in the associated workshop, a second standard deviation of the target process in the associated workshop is calculated;

[0127] A process performance evaluation value of the target process in the associated workshop is calculated based on the second standard deviation of the target process in the associated workshop and the quality standard data of the target process.

[0128] Specifically, according to multiple groups of process quality inspection data of the target process in the associated workshop within the first preset time period, the second standard deviation of the target process in the associated workshop is calculated, see formula (5):

[0129]

[0130] Specifically, after the quality inspection data of each process is periodically collected, the process performance evaluation value of each process in each workshop is calculated according to the quality measurement data of each process collected during the period. The data collection and calculation cycle of each process is described as the first preset time period, and the quality standard tolerance of the target process is calculated according to the upper limit value and the lower limit value of the quality standard of the target process (see formula 3). According to multiple groups of process quality inspection data of the target process in the associated workshop associated with the target process in the first preset time period, the quality inspection mean of the target process in the associated workshop in the first preset time period is calculated. According to the second standard deviation of the target process in the associated workshop in the first preset time period, the median value of the quality standard data of the target process, the tolerance of the quality standard data of the target process and the mean value of the quality inspection, the process performance evaluation value of the target process in the associated workshop is calculated (see formula 4). The process performance evaluation value can be used to evaluate the process stability of the workshop under a shorter working state, and the corresponding first preset time period can be set to a shorter time interval. Exemplarily, the first preset time period is 10h, or the first preset time period is 20h.

[0131] By collecting the quality inspection data of each process in the first preset time period at intervals of the first preset time period, when the process evaluation data is the process performance evaluation value, the first preset time period with a shorter interval is used as a cycle, and the evaluation data of each process in the first preset time period in each associated workshop is periodically calculated, so as to determine the process stability of each workshop in a short time. When the process evaluation data is the process capability evaluation value, the first preset time period with a longer interval is used as a cycle, and the evaluation data of each process in the first preset time period in each associated workshop is periodically calculated, so as to determine the process stability of each workshop in a long time, so that the process stability of each workshop in different time periods and different production conditions can be determined based on different process evaluation data and different inspection cycles, and the changing trend of process stability can be determined, so as to facilitate timely discovery of production problems and improve the production quality of the target object.

[0132] Figure 4 This is a flow chart of step S104 of the quality improvement method based on process stability provided in the embodiment of the present application. Figure 4 , step S104 of the method comprises the following steps:

[0133] S1041. When there is process evaluation data not less than a first threshold value in the process evaluation data in each workshop associated with each of the processes, the process corresponding to the process evaluation data is determined to be the first process, and the workshop corresponding to the process evaluation data is determined to be the first target workshop.

[0134] Specifically, when there is process evaluation data not less than a first threshold value in the process evaluation data in each workshop associated with each process of the target object, the workshop corresponding to the process evaluation data not less than the first threshold value is determined to be the first target workshop, and the process corresponding to the process evaluation data not less than the first threshold value is determined to be the first process, and the process stability of the first process in the first target workshop is determined to be higher.

[0135] S1042, collecting multiple sets of process quality inspection data of the first process in the first target workshop within a second preset time period at intervals of a second preset time period; wherein the interval length of the second preset time period is greater than the interval length of the first preset time period;

[0136] S1043, executing the steps of calculating the process evaluation data of each process in each workshop associated with each process based on the quality standard data and the quality inspection data of each process and the subsequent steps.

[0137] Specifically, the quality inspection period of the first process in the first target workshop (initially the first preset time period) is increased to the second preset time period, and the time interval length of the second preset time period is greater than the interval length of the first preset time period. Correspondingly, at intervals of the second preset time period, multiple groups of process quality inspection data in the first target workshop within the second preset time period are collected, and step S103 and subsequent steps are executed, that is, the second preset time period is used as the quality inspection period, and the number of quality inspections of the first process in the first target workshop is reduced.

[0138] Still taking the target object as paper towels and the process as dehumidification as an example, the processing time for dehumidification is 5 minutes, and the first preset time period is 10 hours. Correspondingly, the moisture content of multiple groups of dehumidified paper towels in workshop A associated with the dehumidification process is obtained every 10 hours. When the evaluation data calculated based on the moisture content of the multiple groups of paper towels within the above 10 hours is not less than the first threshold, the moisture content of multiple groups of dehumidified paper towels in workshop A associated with the dehumidification process is obtained every 24 hours, and the process evaluation data of the dehumidification process in workshop A is calculated based on the moisture content of the multiple groups of paper towels within the above 24 hours.

[0139] In some embodiments, the quality detection data includes an upper quality limit value and a lower quality limit value.

[0140] Before step S1042, step S104 further includes:

[0141] When the process evaluation data of the first process in the first target workshop is not less than a second threshold, determining the upper limit value and the lower limit value of the quality standard of the first process; wherein the second threshold value is greater than the first threshold value;

[0142] Specifically, when the second threshold is greater than the first threshold, and the process evaluation data corresponding to the first target workshop is not less than the second threshold, it is determined that the process stability of the first target workshop is high, and the production quality of the target object can be improved by adjusting the quality inspection standard. The quality inspection standard of the first process associated with the first target workshop is determined, and the quality inspection standard includes the upper limit value of the quality standard and the lower limit value of the quality standard. Among them, the first threshold and the second threshold can be specifically set according to the actual situation. For example, the first threshold is set to 1.33 and the second threshold is set to 1.67.

[0143] Update the upper limit value of the quality standard of the first process to the first standard upper limit value, and update the lower limit value of the quality standard of the first process to the first standard lower limit value; wherein, the first standard upper limit value is smaller than the upper limit value of the quality standard of the first process before updating, and the first standard lower limit value is larger than the lower limit value of the quality standard of the first process before updating.

[0144] Specifically, the upper limit value of the quality standard of the first process is reduced, and the lower limit value of the quality standard of the first process is increased, so as to obtain the updated quality standard data of the process associated with the first target workshop as [lower limit value of the first standard, upper limit value of the first standard]. The upper limit value of the first standard is less than the upper limit value of the quality standard of the first process before the update, and the lower limit value of the first standard is greater than the lower limit value of the quality standard of the first process before the update.

[0145] Still taking the target object as paper towels, and the first process as removing moisture as an example, the corresponding quality standard data is the moisture content interval of the paper towels after removing moisture = [0.5%, 2%). The updated quality standard data is the moisture content interval of the paper towels after removing moisture = [0.8%, 1.5%).

[0146] Figure 5 This is a flow chart of step S104 of the quality improvement method based on process stability provided in the embodiment of the present application. Figure 5 The method step S104 further includes the following steps:

[0147] S1044. When there is process evaluation data that is less than the first threshold and not less than the third threshold in the process evaluation data in each workshop associated with each of the processes, the workshop corresponding to the process evaluation data is determined to be the second process, and the workshop corresponding to the process evaluation data is determined to be the second target workshop.

[0148] Specifically, when there is process evaluation data less than the first threshold and not less than the third threshold in the process evaluation data in each workshop associated with each process, the workshop corresponding to the process evaluation data less than the first threshold and not less than the third threshold is determined as the second target workshop, and the process corresponding to the process evaluation data less than the first threshold and not less than the third threshold is determined as the second process. The third threshold is less than the first threshold. Exemplarily, the first threshold is 1.33 and the third threshold is 1.0.

[0149] S1045. Collect multiple sets of process quality inspection data of the second process in the second target workshop within the third preset time period at intervals of a third preset time period, wherein the third threshold value is less than the first threshold value, and the interval length of the third preset time period is less than the interval length of the first preset time period;

[0150] S1046. Generate a first prompt message and send it to the production equipment of the second target workshop; wherein the first prompt message is used to prompt the user to perform a quality inspection on the production equipment of the second target workshop.

[0151] Specifically, the quality inspection period of the second process in the second target workshop (initially the first preset time period) is reduced to a third preset time period to increase the number of quality inspections. The interval length of the third preset time period is less than the interval length of the first preset time period. For example, the interval length of the first preset time period is 10 hours, and the length of the third preset time period is 3 hours.

[0152] Specifically, the process evaluation data being lower than the third threshold value indicates that the process stability of the second process in the second target workshop is low, and the process stability should be improved to improve the production quality of the target object. Correspondingly, a first prompt message is generated to prompt the user to perform a quality inspection on the production equipment in the second target workshop through the first prompt message, improve the quality of the production equipment, and thus improve the process stability in the workshop.

[0153] S1047, executing the steps of calculating the process evaluation data of each process in each workshop associated with each process based on the quality standard data and the quality inspection data of each process and the subsequent steps.

[0154] Specifically, at intervals of a third preset time period, multiple groups of process quality inspection data of the second process in the second target workshop within the third preset time period are collected, and the above-mentioned step S103 and subsequent steps are executed. The process quality inspection data of the second target workshop is periodically collected with the third preset time period as a cycle, and the process evaluation data of the second process in the second target workshop is calculated to determine the process stability of the second process in the second target workshop.

[0155] In some embodiments, the process evaluation data includes a process performance evaluation value.

[0156] Figure 6 This is a flow chart of step S104 of the quality improvement method based on process stability provided in the embodiment of the present application. Figure 6 After step S1046, the method further includes the following steps:

[0157] S1048. Calculate the process capability assessment value of the second process in the second target workshop based on multiple sets of process quality inspection data of the second process in the second target workshop and the quality standard data of the second process within each fourth preset time period; wherein the interval length of the fourth preset time period is greater than the length of the first preset time period.

[0158] Specifically, the process evaluation data includes a process performance evaluation value. The process capability evaluation value can be used to indicate the process performance evaluation in the workshop at the current moment based on the collected data, and can be used to indicate short-time, small-batch production capacity.

[0159] Based on this, when the process evaluation data is a process performance evaluation value, and the process performance evaluation value is less than the first threshold and not less than the third threshold, it is adjusted to collect multiple groups of process quality inspection data of the second process in the second target workshop within the third preset time period every third preset time period, and then the process capability evaluation value of the second process in the second target workshop within each fourth preset time period can be calculated based on the multiple groups of process quality inspection data of the second process in the second target workshop within each fourth preset time period and the quality standard data of the above-mentioned second process, so as to determine the process stability of the second process in the second target workshop under long-term and continuous production conditions.

[0160] The fourth preset time period has a greater length than the first preset time period, for example, the first preset time period is 20 hours, the fourth preset time period is 240 hours, or the fourth preset time period is 300 days.

[0161] S1049, when the process capability evaluation value of the second process in the second target workshop reaches the first threshold, collecting multiple sets of process quality inspection data of the second process in the second target workshop within the first preset time period at intervals of the first preset time period;

[0162] S10410, executing the steps of calculating the process evaluation data of each process in each workshop associated with each process based on the quality standard data and the quality inspection data of each process and the subsequent steps.

[0163] Specifically, when the process capability evaluation value of the second target workshop reaches the first threshold value within the fourth preset time period, it indicates that the process stability of the second target workshop is relatively high, and the quality inspection cycle can be reduced to the first preset time period. Correspondingly, the process quality inspection data of the second target workshop is collected at intervals of the first preset time period, and the above step S103 and subsequent steps are performed to periodically collect multiple groups of process quality inspection data of the second process in the second target workshop according to the first preset time period as a cycle, and determine the process stability of the second target workshop.

[0164] It is understandable that in the initial process stability assessment and quality improvement process, the processes of each workshop cannot be completely in a stable state. Directly calculating the process capability assessment value of each workshop to determine the quality improvement measures may not match the actual state of the process in the workshop. The process performance assessment value can be determined based on the upper limit value or the lower limit value of the quality standard in the quality annotation data. That is to say, when the process in the workshop is not in a stable state (corresponding to continuous or intermittent sampling), a process performance assessment value with higher accuracy can be calculated. Alternatively, when less quality inspection data is collected, a process performance assessment value with higher accuracy can also be calculated.

[0165] By calculating the process performance evaluation value in a smaller cycle (such as the first preset time period), the state of the process in the workshop in the shorter cycle is determined, and the quality improvement measures corresponding to each workshop are determined (such as reducing the quality inspection cycle to the third preset time period). Then, under the state of continuous production, the process capability evaluation value is calculated in a longer cycle (such as the fourth preset time period), and the processing capacity of the workshop in a stable state after the quality improvement measures can be determined, and then the quality of the target object after the quality improvement measures can be evaluated.

[0166] In some embodiments, after S1045, the method further includes:

[0167] When the process evaluation data of the second process in the second target workshop is less than the fourth threshold value and not less than the process evaluation data of the third threshold value, collecting production inspection data of the target object associated with the second target workshop that completes the multiple processes;

[0168] The production quality of the target object corresponding to the second target workshop is determined according to the product inspection data and the production standard data of the target object.

[0169] Specifically, the fourth threshold is less than the first threshold and greater than the third threshold, for example, the first threshold is 1.33, the third threshold is 0.67, and the fourth threshold is 1.0. When the process evaluation data of the second process in the second target workshop is less than the fourth threshold and greater than the third threshold, it is determined that the process capability of the second process in the second target workshop is insufficient and the process stability is low, and quality inspection should be performed on all processed target objects processed in the second target workshop. The production inspection data of the target objects associated with the second target workshop that have completed the above-mentioned multiple processes are collected, wherein the production inspection data includes quality inspection data corresponding to each process. The production standard data is used to indicate the quality standard data of the target object when production is completed.

[0170] Still taking the target object as paper towel as an example, the production test data is not limited to moisture content, flexibility, thickness, etc. The production standard data includes but is not limited to moisture content range, flexibility range and thickness range.

[0171] Specifically, the production inspection data of the target object that has completed the above-mentioned multiple processes and the production standard data of the target object associated with the second target workshop determine the production quality of the target object corresponding to the second target workshop.

[0172] Figure 7 This is a flow chart of step S104 of the quality improvement method based on process stability provided in the embodiment of the present application. Figure 7 The method step S104 further includes the following steps:

[0173] S10410. When there is process evaluation data less than a third threshold value in the process evaluation data in each workshop associated with each of the processes, the process corresponding to the process evaluation data is determined to be the third process, and the workshop corresponding to the process evaluation data is determined to be the third target workshop.

[0174] Specifically, when there is process evaluation data less than the third threshold value in the process evaluation data of each workshop associated with multiple processes of the target object, the process corresponding to the process evaluation data less than the third threshold value is determined to be the third process, and the workshop corresponding to the process evaluation data less than the third threshold value is determined to be the third target workshop. The process evaluation data less than the third threshold value indicates that the process stability of the third target workshop is low, so that the production equipment of the third target workshop continues to execute the third process, which may cause the quality of the target object to be low.

[0175] S10411. Generate a pause instruction and send it to the production equipment in the third target workshop; wherein the pause instruction is used to control the production equipment in the third target workshop to stop executing the third process.

[0176] Specifically, a pause instruction is generated and sent to the production equipment of the third target workshop, wherein the pause instruction is used to control the production equipment of the third target workshop to stop executing the third process corresponding to the process evaluation data less than the third threshold.

[0177] It can be understood that when the production equipment in the third target workshop stops executing the third process, the operation of collecting process quality inspection data of the third process in the third target workshop can be stopped to reduce the workload of data collection and data calculation and improve calculation efficiency.

[0178] In some embodiments, after generating and sending the pause instruction to the production equipment of the third target workshop, the production inspection data of the target objects associated with the third target workshop and having completed the multiple processes may be collected; the production quality of the target objects in the third target workshop may be determined based on the product inspection data and the production standard data of the target objects, thereby achieving quality inspection of all the processed target objects processed in the third target workshop.

[0179] Table 1 exemplarily shows a quality improvement measure table.

[0180] Table 1 Quality improvement measures

[0181]

[0182]

[0183] By setting different thresholds, the quality inspection data of the processes in each workshop is automatically collected, and the evaluation data is automatically calculated and compared based on different thresholds, so as to determine the quality improvement measures corresponding to the workshops whose evaluation data reaches different thresholds, reduce manpower consumption, improve the efficiency of data collection and calculation, and improve the accuracy and stability of the evaluation results. In addition, the process stability ability of workshops with poor process stability can be improved in a targeted manner, thereby improving the quality of the target object. At the same time, the change trend of the same process in different workshops can be determined.

[0184] Figure 8 Another flow chart of the quality improvement method based on process stability provided in the embodiment of the present application. Figure 8 After step S104, the method further comprises the following steps:

[0185] S105. Generate a process stability analysis diagram corresponding to each process according to the process evaluation data of each workshop in the at least one workshop associated with each process.

[0186] Specifically, according to the process evaluation data of each workshop in at least one workshop associated with the same process, process stability analysis diagrams of each workshop associated with the same process are generated respectively, and process stability analysis diagrams of each workshop associated with each process are obtained to determine the process stability of the same process in different workshops and obtain the trend change of process stability. The process stability analysis diagram includes but is not limited to a bar chart, a sector chart, etc.

[0187] Fig. 9 This is a schematic diagram of the structure of a quality improvement device based on process stability provided in an embodiment of the present application. Fig. 9 As shown, the quality improvement device 900 based on process stability includes:

[0188] The acquisition module 901 is used to acquire process information of multiple processes of a target object; wherein the process information includes quality standard data;

[0189] The data collection module 902 is used to collect the quality inspection data of each process in the first preset time period at intervals of the first preset time period; wherein the quality inspection data of the process includes multiple groups of process quality inspection data of each workshop in at least one workshop associated with the process;

[0190] A calculation module 903, configured to calculate, based on the quality standard data of each process and the quality inspection data, process evaluation data of each process in each workshop associated with each process;

[0191] The determination module 904 is used to determine the quality improvement measures of each workshop associated with each process according to the process evaluation data of each process in each workshop associated with each process.

[0192] In some embodiments, the computing module comprises:

[0193] A first traversal unit, used for traversing each of the processes as a target process;

[0194] A second traversal unit is used to determine at least one workshop associated with the target process according to the workshop identifier of the target process, and traverse the at least one workshop associated with the target process to determine each workshop as an associated workshop;

[0195] The calculation unit is used to calculate the process evaluation data of the target process in the associated workshop according to the multiple groups of process quality detection data of the target process in the associated workshop and the quality standard data of the target process.

[0196] In some embodiments, the determining module includes:

[0197] a first determining unit, configured to determine, when there is process evaluation data not less than a first threshold value in the process evaluation data in each workshop associated with each process, that the process corresponding to the process evaluation data is the first process, and to determine that the workshop corresponding to the process evaluation data is the first target workshop;

[0198] A first collection unit is used to collect multiple sets of process quality inspection data of the first process in the first target workshop within a second preset time period at intervals of the second preset time period; wherein the interval length of the second preset time period is greater than the interval length of the first preset time period;

[0199] The first circulation unit is used to execute the steps of calculating the process evaluation data of each process in each workshop associated with each process based on the quality standard data and the quality inspection data of each process and the subsequent steps.

[0200] In some embodiments, the quality standard data includes a quality standard upper limit value and a quality standard lower limit value;

[0201] The determining module further includes:

[0202] A second determining unit, configured to determine an upper limit value and a lower limit value of a quality standard for the first process when process evaluation data of the first process in the first target workshop is not less than a second threshold value; wherein the second threshold value is greater than the first threshold value;

[0203] An updating unit is used to update the upper limit value of the quality standard of the first process to a first standard upper limit value, and to update the lower limit value of the quality standard of the first process to a first standard lower limit value; wherein, the upper limit value of the first standard is less than the upper limit value of the quality standard of the first process before updating, and the lower limit value of the first standard is greater than the lower limit value of the quality standard of the first process before updating.

[0204] In some embodiments, the determining module further includes:

[0205] A third determining unit is used to determine that the workshop corresponding to the process evaluation data is the second process, and determine that the workshop corresponding to the process evaluation data is the second target workshop when there is process evaluation data less than the first threshold value and not less than the third threshold value in the process evaluation data of each workshop associated with each process;

[0206] A second collection unit is used to collect multiple sets of process quality inspection data of the second process in the second target workshop within a third preset time period at intervals of a third preset time period, wherein the third threshold is less than the first threshold, and the interval length of the third preset time period is less than the interval length of the first preset time period;

[0207] A first production unit is used to generate a first prompt message and send it to the production equipment of the second target workshop; wherein the first prompt message is used to prompt the user to perform a quality inspection on the production equipment of the second target workshop;

[0208] The second circulation unit is used to execute the steps of calculating the process evaluation data of each process in each workshop associated with each process based on the quality standard data and the quality inspection data of each process and the subsequent steps.

[0209] In some embodiments, the process evaluation data includes a process performance evaluation value;

[0210] Correspondingly, the determining module further includes:

[0211] a fourth determining unit, configured to calculate a process capability evaluation value of the second process in the second target workshop according to a plurality of sets of process quality detection data of the second process in the second target workshop and quality standard data of the second process in each fourth preset time period; wherein the interval length of the fourth preset time period is greater than the length of the first preset time period;

[0212] a third collection unit, configured to collect, when the process capability evaluation value of the second process in the second target workshop reaches the first threshold value, a plurality of sets of process quality inspection data of the second process in the second target workshop within the first preset time period at intervals of the first preset time period;

[0213] The fourth loop unit is used to execute the steps of calculating the process evaluation data of each process in each workshop associated with each process based on the quality standard data and the quality inspection data of each process and the subsequent steps.

[0214] In some embodiments, the determining module further includes:

[0215] a fifth determining unit, configured to determine, when there is process evaluation data less than a third threshold value in the process evaluation data in each workshop associated with each of the processes, that the process corresponding to the process evaluation data is a third process, and to determine that the workshop corresponding to the process evaluation data is a third target workshop;

[0216] The second production unit is used to generate a pause instruction and send it to the production equipment in the third target workshop; wherein the pause instruction is used to control the production equipment in the third target workshop to stop executing the third process.

[0217] In some embodiments, the process evaluation data includes a process capability evaluation value;

[0218] Correspondingly, the calculation module includes:

[0219] A first calculation unit is used to calculate the quality inspection mean value of the target process in the associated workshop according to multiple groups of process quality inspection data of the target process in the associated workshop;

[0220] A second calculation unit is used to calculate a first standard deviation of the target process in the associated workshop according to a quality inspection mean of the target process in the associated workshop and the quality inspection data of the target process;

[0221] The third calculation unit is used to calculate the process capability evaluation value of the target process in the associated workshop according to the quality inspection mean value of the target process in the associated workshop, the first standard deviation and the quality standard data of the target process.

[0222] In some embodiments, the process evaluation data includes a process performance evaluation value;

[0223] The computing module comprises:

[0224] A fourth calculation unit, configured to calculate a second standard deviation of the target process in the associated workshop according to a plurality of sets of process quality detection data of the target process in the associated workshop;

[0225] A fifth calculation unit is used to calculate a process performance evaluation value of the target process in the associated workshop according to a second standard deviation of the target process in the associated workshop and quality standard data of the target process.

[0226] In some embodiments, the device further comprises:

[0227] The analysis chart generating module is used to generate a process stability analysis chart corresponding to each of the processes according to the process evaluation data of each workshop in the at least one workshop associated with each of the processes.

[0228] The quality improvement device based on process stability provided in the embodiment of the present application can be used to implement the technical solution of the quality improvement method based on process stability in the above-mentioned embodiment. Its implementation principle and technical effect are similar and will not be repeated here.

[0229] It should be noted that it should be understood that the division of the various modules of the above device is only a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or physically separated. Moreover, these modules can be all implemented in the form of software calling through processing elements; they can also be all implemented in the form of hardware; some modules can also be implemented in the form of software calling through processing elements, and some modules can be implemented in the form of hardware.

[0230] In addition, all or part of these modules can be integrated together or implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each of the above modules can be completed by an integrated logic circuit of hardware in the processor element or an instruction in the form of software.

[0231] Fig.10 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Fig.10 As shown, the electronic device may include: a transceiver 1001 , a processor 1002 , and a memory 1003 .

[0232] The processor 1002 executes the computer execution instructions stored in the memory, so that the processor 1002 executes the scheme in the above embodiment. The processor 1002 can be a general-purpose processor, including a central processing unit CPU, a network processor (network processor, NP), etc.; it can also be a digital signal processor DSP, an application-specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0233] The memory 1003 is connected to the processor 1002 via a system bus and completes communication between them. The memory 1003 is used to store computer program instructions.

[0234] The transceiver 1001 can be used to obtain process information, quality inspection data, etc.

[0235] The system bus can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The system bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus. The transceiver is used to realize the communication between the database access device and other computers (such as clients, read-write libraries, and read-only libraries). The memory may include random access memory (RAM) and may also include non-volatile memory.

[0236] An embodiment of the present application also provides a computer-readable storage medium, in which computer instructions are stored. When the computer instructions are executed on a computer, the computer executes the technical solution of the quality improvement method based on process stability in the above embodiment.

[0237] An embodiment of the present application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. At least one processor can read the computer program from the computer-readable storage medium. When at least one processor executes the computer program, it can implement the technical solution of the quality improvement method based on process stability in the above embodiment.

[0238] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.

[0239] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to implement the solution of this embodiment.

[0240] In addition, each functional module in each embodiment of the present application can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The above-mentioned module-composed unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

[0241] The above-mentioned integrated module implemented in the form of a software function module can be stored in a computer-readable storage medium. The above-mentioned software function module is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform some steps of the methods of various embodiments of the present application.

[0242] It should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the invention may be directly implemented as being executed by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor.

[0243] The memory may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk memory, and may also be a USB flash drive, a mobile hard disk, a read-only memory, a magnetic disk or an optical disk, etc.

[0244] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0245] The above storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The storage medium can be any available medium that can be accessed by a general or special purpose computer.

[0246] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0247] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A quality improvement method based on process stability, characterized in that: include: Acquire process information of multiple processes of a target object; wherein the process information includes quality standard data; At intervals of a first preset time period, respectively collect quality inspection data of each process within the first preset time period; wherein the quality inspection data of the process includes multiple groups of process quality inspection data of each workshop in at least one workshop associated with the process; Calculate and obtain process evaluation data of each process in each workshop associated with each process according to the quality standard data and the quality inspection data of each process; According to the process evaluation data of each of the processes in each of the workshops associated with each of the processes, quality improvement measures for each of the workshops associated with each of the processes are determined respectively.

2. The method according to claim 1, characterized in that The process information also includes a workshop identification, and the process evaluation data of each process in each workshop associated with each process is calculated based on the quality standard data and the quality inspection data of each process, including: Traversing each of the processes as a target process; According to the workshop identifier of the target process, at least one workshop associated with the target process is determined, and each of the at least one workshop associated with the target process is traversed as an associated workshop; Process evaluation data of the target process in the associated workshop is obtained by calculation according to a plurality of groups of process quality detection data of the target process in the associated workshop and the quality standard data of the target process.

3. The method according to claim 1 or 2, characterized in that: The step of determining the quality improvement measures of each workshop associated with each process according to the process evaluation data of each process in each workshop associated with each process comprises: When there is process evaluation data not less than a first threshold value in the process evaluation data in each workshop associated with each of the processes, the process corresponding to the process evaluation data is determined to be the first process, and the workshop corresponding to the process evaluation data is determined to be the first target workshop; At intervals of a second preset time period, multiple groups of process quality inspection data of the first process in the first target workshop within the second preset time period are collected; wherein the interval length of the second preset time period is greater than the interval length of the first preset time period; Execute the steps of calculating and obtaining the process evaluation data of each process in each workshop associated with each process based on the quality standard data and the quality inspection data of each process.

4. The method according to claim 3, characterized in that The quality standard data includes the quality standard upper limit value and the quality standard lower limit value; Before collecting multiple sets of process quality inspection data of the first process in the first target workshop within the second preset time period at each interval of the second preset time period, the method further includes: When the process evaluation data of the first process in the first target workshop is not less than a second threshold, determining the upper limit value and the lower limit value of the quality standard of the first process; wherein the second threshold value is greater than the first threshold value; Update the upper limit value of the quality standard of the first process to the first standard upper limit value, and update the lower limit value of the quality standard of the first process to the first standard lower limit value; wherein, the first standard upper limit value is smaller than the upper limit value of the quality standard of the first process before updating, and the first standard lower limit value is larger than the lower limit value of the quality standard of the first process before updating.

5. The method according to claim 1 or 2, characterized in that: The method of determining the quality improvement measures of each workshop associated with each process according to the process evaluation data of each process in each workshop associated with each process also includes: When there is process evaluation data in each workshop associated with each process that is less than the first threshold value and not less than the third threshold value, determining the workshop corresponding to the process evaluation data as the second process, and determining the workshop corresponding to the process evaluation data as the second target workshop; At intervals of a third preset time period, multiple groups of process quality inspection data of the second process in the second target workshop within the third preset time period are collected, wherein the third threshold value is less than the first threshold value, and the interval length of the third preset time period is less than the interval length of the first preset time period; Generate a first prompt message and send it to the production equipment of the second target workshop; wherein the first prompt message is used to prompt the user to perform quality inspection on the production equipment of the second target workshop; Execute the steps of calculating and obtaining the process evaluation data of each process in each workshop associated with each process based on the quality standard data and the quality inspection data of each process.

6. The method according to claim 5, characterized in that The process evaluation data includes a process performance evaluation value; Correspondingly, after collecting multiple sets of process quality inspection data of the second process in the second target workshop within the third preset time period at intervals of the third preset time period, the method further includes: The process capability evaluation value of the second process in the second target workshop is calculated based on the multiple sets of process quality inspection data of the second process in the second target workshop and the quality standard data of the second process in each fourth preset time period; wherein the interval length of the fourth preset time period is greater than the length of the first preset time period; When the process capability evaluation value of the second process in the second target workshop reaches the first threshold, collecting multiple sets of process quality inspection data of the second process in the second target workshop within the first preset time period at intervals of the first preset time period; Execute the steps of calculating and obtaining the process evaluation data of each process in each workshop associated with each process based on the quality standard data and the quality inspection data of each process.

7. The method according to claim 1 or 2, characterized in that: The method of determining the quality improvement measures of each workshop associated with each process according to the process evaluation data of each process in each workshop associated with each process also includes: When there is process evaluation data less than a third threshold value in the process evaluation data in each workshop associated with each of the processes, determining the process corresponding to the process evaluation data as a third process, and determining the workshop corresponding to the process evaluation data as a third target workshop; A pause instruction is generated and sent to the production equipment in the third target workshop; wherein the pause instruction is used to control the production equipment in the third target workshop to stop executing the third process.

8. The method according to claim 2, characterized in that: The process evaluation data includes a process capability evaluation value; Correspondingly, the process evaluation data of the target process in the associated workshop is calculated based on the multiple groups of process quality detection data of the target process in the associated workshop and the quality standard data of the target process, including: According to multiple groups of process quality inspection data of the target process in the associated workshop, the quality inspection mean value of the target process in the associated workshop is calculated; Calculate the first standard deviation of the target process in the associated workshop according to the quality inspection mean of the target process in the associated workshop and the quality inspection data of the target process; A process capability evaluation value of the target process in the associated workshop is calculated based on the quality inspection mean value of the target process in the associated workshop, the first standard deviation, and the quality standard data of the target process.

9. The method according to claim 2, characterized in that: The process evaluation data includes a process performance evaluation value; The process evaluation data of the target process in the associated workshop is calculated based on the multiple sets of process quality detection data of the target process in the associated workshop and the quality standard data of the target process, including: According to multiple groups of process quality detection data of the target process in the associated workshop, a second standard deviation of the target process in the associated workshop is calculated; A process performance evaluation value of the target process in the associated workshop is calculated based on the second standard deviation of the target process in the associated workshop and the quality standard data of the target process.

10. A quality improvement device based on process stability, characterized in that: include: An acquisition module, used to acquire process information of multiple processes of a target object; wherein the process information includes quality standard data; A data collection module, used for collecting quality inspection data of each process within the first preset time period at intervals of the first preset time period; wherein the quality inspection data of the process includes multiple groups of process quality inspection data of each workshop in at least one workshop associated with the process; A calculation module, used for calculating, based on the quality standard data of each process and the quality inspection data, process evaluation data of each process in each workshop associated with each process; The determination module is used to determine the quality improvement measures of each workshop associated with each process according to the process evaluation data of each process in each workshop associated with each process.

11. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 9 when executed by a processor.

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