Quality inspection methods, systems, equipment and media for the ceramic industry

Abstract

The present invention relates to the field of ceramic production technology, and specifically to a quality inspection method, system, equipment and medium for the ceramic industry, wherein the quality inspection method comprises obtaining and determining the product status based on the product and the corresponding product inspection rules; obtaining and determining the product scene status based on the scene corresponding to the product and the scene spot check rules corresponding to the scene, wherein the product scene status comprises at least one state of the product in the product warehousing scene, the product incoming scene and the product process scene; the current product state and the current scene state are interactively verified and updated according to a preset time period to generate a product quality status. The present invention solves the problems of traditional quality inspection methods such as information lag, slow process, difficulty in querying and analyzing product problems, inability to provide reference for quality analysis, and difficulty in tracing problems.

Description

Technical Field

[0001] The invention belongs to the technical field of ceramic production, and in particular relates to a quality inspection method, system, equipment and medium used in the ceramic industry. Background Art

[0002] In order to ensure product quality during the production process of ceramic products, quality inspection must be carried out on raw materials, semi-finished products, and finished products in the production process. Strict control is required to prevent unqualified raw materials from being put into production, unqualified semi-finished products from being transferred, and unqualified products from leaving the factory. Traditional quality inspection methods have lagging information, slow processes, and are difficult to query and analyze product problems. They cannot provide reference for quality analysis and are difficult to trace back problems. Summary of the invention

[0003] The present invention provides a quality inspection method, system, equipment and medium for the ceramic industry, which can solve at least one technical problem in the above-mentioned background technology.

[0004] A first aspect of the present invention provides a quality inspection method for the ceramic industry, comprising:

[0005] Obtain and determine product status based on the product and corresponding product inspection rules;

[0006] Obtain and determine the product scenario status based on the scenario corresponding to the product and the scenario spot check rule corresponding to the scenario, wherein the product scenario status includes at least one status of the product in the product warehousing scenario, the product incoming material scenario, and the product process scenario;

[0007] The product status and the product scenario status are interactively verified and updated according to a preset time period to generate a product quality status.

[0008] As an optional implementation, the obtaining and determining the product status based on the product and the corresponding product inspection rule includes:

[0009] Acquire first product information and first execution information of the product, where the first execution information is derived from input information of the quality inspection end;

[0010] At least one preset product inspection rule is associated based on the first product information, and a product status is generated according to the preset product inspection rule and the first execution information.

[0011] As an optional implementation, the scenario corresponding to the product includes a warehouse quality inspection scenario, and the scenario spot check rule includes a preset spot check rule and a preset missed inspection rule;

[0012] The obtaining and determining the product scenario status based on the scenario corresponding to the product and the scenario spot check rule corresponding to the scenario includes:

[0013] Acquire second product information and second execution information of the product in the warehouse quality inspection scenario, where the second execution information is derived from operation information on the warehouse side;

[0014] The products to be missed in inspection are obtained based on the second product information and the preset sampling rules, and the product missed inspection rate is determined and / or product public information is provided based on the products to be missed in inspection, the second execution information and the preset missed inspection rules.

[0015] As an optional implementation manner, the interactive verification and updating of the product status and the product scenario status according to a preset time period to generate a product quality status includes:

[0016] The product status and product missed inspection rate are indexed to generate a real-time quality inspection status of the finished product;

[0017] The product defect situation and corresponding product defect parameters are obtained based on the product status and updated according to a preset time period.

[0018] As an optional implementation manner, the scenario corresponding to the product includes a process quality inspection scenario, and the scenario spot check rule also includes a preset process rule, and the preset process rule corresponds to the process quality inspection scenario;

[0019] The obtaining and determining the product scenario status based on the scenario corresponding to the product and the scenario spot check rule corresponding to the scenario includes:

[0020] Acquire third product information of the product in the process quality inspection scenario, wherein the third product information is associated with at least one preset process quality inspection rule;

[0021] The product process status is determined based on the third product information and the preset process quality inspection rules.

[0022] As an optional implementation, the process quality inspection scenario includes a firing quality inspection scenario; the third product information includes product firing information, and the product firing information includes water absorption, destructive strength and fracture strength, thermal stability, press powder particle grading and moisture detection, cutting performance and / or size in the firing process scenario.

[0023] As an optional implementation manner, determining the product process status based on the third product information and the preset process quality inspection rule includes:

[0024] Associating at least one preset firing quality inspection rule based on the product firing information;

[0025] Obtain samples based on third-party product information and preset sampling rules;

[0026] Based on the samples and preset firing quality inspection rules, the parameters included in the firing information of each product are judged for their eligibility to generate the product firing process status.

[0027] As an optional implementation manner, the interactive verification and updating of the product status and the product scenario status according to a preset time period to generate a product quality status includes:

[0028] Set the first product association rule corresponding to the product warehousing status;

[0029] Set the second product association display rule corresponding to the product incoming status;

[0030] The product warehousing status is marked with corresponding scene inspection information according to the first product association rule, and / or the product incoming material status is marked with corresponding scene inspection information according to the second product association rule, and updated according to a preset time period.

[0031] A second aspect of the present invention provides a quality inspection system for the ceramic industry, comprising:

[0032] A first acquisition module, at least for acquiring and determining a product status based on the product and a corresponding product inspection rule;

[0033] A second acquisition module is at least used to acquire and determine a product scenario state based on a scenario corresponding to the product and a scenario sampling rule corresponding to the scenario, wherein the product scenario state includes at least one state of the product in a product warehousing scenario, a product incoming material scenario, and a product process scenario;

[0034] The quality inspection module is at least used to interactively verify and update the product status and the product scenario status according to a preset time period to generate a product quality status.

[0035] The third aspect of the present invention provides an electronic device, comprising: at least one processor; and at least one memory communicatively connected to the processor, wherein: the memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the method described in the first aspect of the present application.

[0036] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a computer, the method described in the first aspect of the present application is executed.

[0037] The present invention processes and presents the complete status of ceramic products in a regular manner, including the raw materials, i.e. the corresponding product incoming material stage, the semi-finished products, i.e. the corresponding product production stage, and the finished products, i.e. the corresponding product warehousing stage, to help users quickly grasp the key points of the data, make more accurate analysis and decisions, and improve production quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A schematic flow chart of a quality inspection method for the ceramic industry in one embodiment of the present invention is shown.

[0039] Figure 2 A block diagram of a quality inspection system for the ceramic industry in one embodiment of the present invention is shown.

[0040] Figure 3 FIG. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0042] It should also be understood that the terms used in this disclosure are only for the purpose of describing specific embodiments and are not intended to limit the disclosure. As used in this disclosure and claims, the singular forms of "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise. It should also be further understood that the term "and / or" used in this disclosure and claims refers to any combination of one or more of the associated listed items and all possible combinations, including these combinations.

[0043] In the production process of ceramic products, it is necessary to ensure the quality of each link, such as the quality of raw materials, semi-finished products and finished products. Whether it is to inspect the incoming material status, warehousing status or the quality of any process status in the middle of ceramic product production, the methods in the existing technology are relatively scattered and dispersed, and cannot achieve full-process response or display, which will also affect the overall production efficiency and production quality of ceramic products.

[0044] like Figure 1 As shown, the first aspect of the present invention provides a quality inspection method for the ceramic industry, comprising the following steps.

[0045] Step S100: Acquire and determine the product status based on the product and the corresponding product inspection rules; specifically, taking ceramic products as an example, the ceramic products in the present invention can be divided into raw material status, semi-finished product status and finished product status based on different product statuses.

[0046] Step S200: Obtain and determine the product scenario status based on the scenario corresponding to the product and the scenario sampling rule corresponding to the scenario, wherein the product scenario status includes at least one status of the product in the product warehousing scenario, the product incoming material scenario and the product process scenario.

[0047] Specifically, the scenarios corresponding to the products cover all stages of ceramic products. For example, the ceramic material incoming stage is the material preparation stage before the ceramic production process, the ceramic warehousing stage is the finished product storage stage after the ceramic production process, and the product process stage is the pressing, glazing, firing, inkjet and other stages in the ceramic production process, thus having different product scenario states and products in the product scenario states.

[0048] Step S300: The product status and the product scenario status are interactively verified and updated according to a preset time period to generate a product quality status. The present invention implements quality inspection of ceramic products based on the product quality status.

[0049] Specifically, interactive verification reflects the status of ceramic products at each stage from raw materials, semi-finished products to finished products, and raw materials, semi-finished products and finished products correspond to different historical information in turn. Within a reasonable storage range, it is possible to accumulate historical information of any product at any time, trace back all records of the product from raw materials to finished products, and perform interactive verification in turn. In addition, the interactive verification and update of product status and product scene status within a preset time can improve the real-time and interactivity of the product. Users can obtain the quality information of ceramic products and the corresponding quality status of ceramic products through the product status and the corresponding scene status.

[0050] In step S100, the obtaining and determining the product status based on the product and the corresponding product inspection rule includes:

[0051] Acquire first product information and first execution information of the product, where the first execution information is derived from input information of the quality inspection end;

[0052] At least one preset product inspection rule is associated based on the first product information, and a product status is generated according to the preset product inspection rule and the first execution information.

[0053] Specifically, the first product information includes first product identity information and first product attribute information; when the finished product is obtained, the first product information and the first execution information are indexed accordingly, and based on the product identity information and product attribute information in the first product information, the preset product inspection rules are associated, wherein the first product identity information includes the product code and the product name, and the first product attribute information includes the product color number, side length, thickness, deformation, squareness, side straightness, surface quality, color difference, etc.

[0054] Among them, the first execution information can be the input information of the executor at the quality inspection end, or it can be the input information automatically generated by existing technology or mature models. The present invention can calculate or obtain the product inspection information of side length, thickness, edge straightness, center curvature, edge curvature, warping, diagonal deviation, straightness, water absorption, rupture modulus, breaking strength, and gloss through preset product inspection rules. By receiving the judgment conclusion of the first execution information, it can be obtained whether the product status is qualified or unqualified.

[0055] Here, the product status can be obtained in this way, thereby providing a reference for quality inspection for the staff.

[0056] In step S200, the scenario corresponding to the product includes a warehouse quality inspection scenario, the scenario sampling rule includes a preset sampling rule and a preset missed inspection rule, and the scenario is a product warehousing scenario.

[0057] The obtaining and determining the product scenario status based on the scenario corresponding to the product and the scenario spot check rule corresponding to the scenario includes:

[0058] Obtaining second product information and second execution information of the product in the warehouse quality inspection scenario, where the second execution information is derived from operation information on the warehouse side; illustratively, the operation information on the warehouse side may be input information of an executor on the warehouse side, or may be input information automatically generated by existing technology or with the aid of an LLM model;

[0059] The products to be missed in inspection are obtained based on the second product information and the preset sampling rules, and the product missed inspection rate is determined and / or product public information is provided based on the products to be missed in inspection, the second execution information and the preset missed inspection rules.

[0060] Specifically, the product scenario status represents another dimension of product status presented by the product in the corresponding scenario, such as the product missed detection rate or product disclosure information in the product warehousing scenario, to assist users in realizing quick information processing. Similarly, in the product process scenario, the product scenario status includes the status corresponding to different production processes, such as the status presented for the firing information of various products under the firing process described below, such as whether the water absorption rate is qualified, whether the thermal stability is qualified; or in the product incoming material scenario, the status of the product when it is in the raw material state, such as transportation time, transportation license plate, etc.

[0061] Specifically, the second product information includes second product identity information, second product attribute information, product combination identity information and product combination attribute information. The form of the product combination can be a box. Some information in the second product information and the first product identity information is reused, such as product code, etc. When the product exists in the warehouse, the product warehousing status is determined based on the second product information and the second execution information to obtain the product warehousing status and the corresponding product warehousing status. Among them, the second product identity information includes the product code and the product name, and the second product attribute information includes the thickness of the product, the length and width specifications of the product, and the quantity of the product. Correspondingly, the product combination identity information and the product attribute identity information include the box code, the box name, and the product identity information and product attribute information associated with the box code and the box name.

[0062] In the field of ceramic tiles, product grade is an important attribute of the product. The number of non-superior ceramic products can be obtained through the second execution information. The inputter, judger, operator, executor or execution end corresponding to the second execution information will rate the ceramic tile products in the production process, that is, determine the product grade: when the product has color difference, bending deformation, scratches on the surface of the tile and other quality problems that do not meet the standards, it will be rated as superior, good, defective and other grades according to the degree of non-compliance. If the quality meets the standards, it will be rated as superior by default. Thus, the number of non-superior ceramic products can be obtained.

[0063] Specifically, the product missed inspection rate is the percentage of undiscovered unqualified products in the total number of batches inspected at that time. The unqualified products in the present invention refer to ceramic products other than superior products, that is, non-superior ceramic products.

[0064] The implementation process of obtaining the number of products to be missed based on the second product information and the preset sampling rule is: the number of samples (i.e., the number of products to be missed) = the number of products * X%, where X% is a preset percentage that can be set according to actual conditions, such as 3%, 5%, etc. Specifically, the implementation process of determining the product missed detection rate based on the number of products to be missed, the second execution information, and the preset missed detection rule is: product missed detection rate = the number of ceramic products that are missed and whose product grade is not superior / (the number of sampled boxes * the number of sampled samples).

[0065] Furthermore, in one embodiment of the present invention, one form of the public information is: second product information, such as product code, product thickness, product length and width specifications, product box number, number of pieces per box, etc.; second execution information, such as product grade, user information of the operator of the second execution information, etc., wherein the user information of the operator of the second execution information may include operator ID, operation time, remarks information supplemented by the operator, etc.; and number of pieces sampled and number of pieces missed. The content of the public information shown in the present invention can be obtained through existing knowledge and is not limited to the content listed in the present invention.

[0066] In step S300, the product status and the product scenario status are interactively verified and updated according to a preset time period to generate a product quality status, including:

[0067] Based on the product status and product missed inspection rate, index and generate the real-time quality inspection status of the finished product;

[0068] When the product missed detection rate meets the preset product missed detection rate, the product defect situation and the corresponding product defect parameters are obtained based on the product status and updated according to the preset time period.

[0069] Specifically, this method can be used to obtain the one-to-one correspondence between product status and product defects, as well as the type of each product defect parameter. It can also be displayed in a visual way, the distribution of product defects in a certain period of time, and improve the work efficiency and work experience of the staff. For example, a line graph with time as the horizontal axis and the percentage as the vertical axis is set, mainly showing: 1. A line graph of the percentage of defects such as dirt, brick slag, and exposed bottom, 2. A line graph of the percentage of defects such as missing corners, holes on the brick surface, and pinholes, 3. A line graph of the percentage of defects such as deformation, rod prints, and diagonals, 4. A line graph of the percentage of defects such as glaze pits, glaze impurities, and color differences. The present invention can conduct targeted inspections and accountability through the above-mentioned defect situations. For example, when the defect is color difference and meets the color difference reminder index under certain conditions, the producer of the glazing process can be prompted accordingly, and the corresponding accountability can be investigated.

[0070] In step S200, the scenarios corresponding to the product include process quality inspection scenarios, and the process quality inspection scenarios include various process scenarios such as firing quality inspection scenarios. The scenario sampling rules also include preset process rules, and the preset process rules correspond to the process quality inspection scenarios. In other words, different process quality inspection scenarios correspond to different process rules. For example, the firing process quality inspection scenario corresponds to the firing process rule, and the inkjet process quality inspection scenario corresponds to the inkjet process rule.

[0071] The obtaining and determining the product scenario status based on the scenario corresponding to the product and the scenario spot check rule corresponding to the scenario includes:

[0072] Acquire third product information of the product in the process quality inspection scenario, wherein the third product information is associated with at least one preset process quality inspection rule;

[0073] The product process status is determined based on the third product information and the preset process quality inspection rules.

[0074] Specifically, taking the firing quality inspection scenario as an example, the third product information includes product firing information, and the product firing information includes water absorption, destructive strength and fracture strength, thermal stability, press powder particle grading, moisture detection, cutting performance, size, etc. in the firing process scenario. At least one preset firing quality inspection rule is associated based on the product firing information; samples are obtained based on the third product information and the preset sampling rules; and the parameters contained in each product firing information are judged for their eligibility based on the samples and the preset firing quality inspection rules to generate the product firing process status. For example, by making an overall judgment on the eligibility corresponding to ① water absorption, ② destructive strength and fracture modulus, ③ thermal stability, ④ press powder particle grading and moisture detection, ⑤ cutting performance, and ⑥ size, when the above six types of product firing information are all qualified, the product firing process status is a qualified state.

[0075] At least one preset firing quality inspection rule is associated with the product firing information. Specifically, through the preset firing quality inspection rule, a complete judgment or evaluation can be made on each information in the product firing information, wherein the preset firing quality inspection rule can be independently divided according to the product firing information, that is, different product firing information corresponds to different preset firing quality inspection rules.

[0076] Taking the firing quality inspection scenario as an example, the firing quality inspection items can generally be divided into ① water absorption rate, ② destructive strength and rupture modulus, ③ thermal stability performance, ④ press powder particle grading and moisture detection, ⑤ cutting performance, and ⑥ size. Specifically, the following uses the water absorption rate, destructive strength and rupture strength, thermal stability performance, press powder particle grading and moisture detection, cutting performance, and size in the ceramic tile firing scenario as examples to illustrate the process rule setting and application of the present invention in process quality inspection.

[0077] Optionally, the present invention assumes that in the subsequent firing quality inspection embodiment, the corresponding detection index pass rate has been set to A, and the mean pass rate has been set to B. The sample can specifically be a sample obtained through preset sampling rules in the firing process, and the product firing process status is generated based on the sample and the preset firing quality inspection rules.

[0078] Optionally, the present invention performs firing quality inspection of water absorption according to the following preset firing quality inspection rules.

[0079] Let the middle wet weight be m, the middle dry weight be g, the edge wet weight be a, and the edge dry weight be b; the sample water absorption rate formula t1 is: (m - g) / g * 100%; the average water absorption rate formula t2 is: , where x represents the variable value corresponding to a certain sample, such as g x represents the variable value corresponding to the middle dry weight sample; the natural number n represents the number of samples; it should be noted that the above formula is only one of the feasible calculation formulas, and the final formula used is adjusted according to the actual scenario requirements.

[0080] The specific implementation method includes the following steps.

[0081] Water absorption rate detection steps: Select a detection instrument that can detect the water absorption rate, add samples by responding to the detection instrument reading, read the m value, g value, a value, and b value of the detection instrument reading, and calculate and display the sample water absorption rate result A2 according to the formula t1; when A2 < A, determine that the sample is unqualified and modify the status to unqualified.

[0082] Repeat the above water absorption rate detection steps, and record the data of the previous sample as the detection group during each sample addition process, calculate and obtain the average water absorption rate B2 of the detection group according to the formula t2; when there is no sample addition and B2 < B, determine that the detection group is unqualified and modify the status to unqualified.

[0083] Optionally, the present invention performs the firing quality inspection of the breaking strength and modulus of rupture according to the following preset firing quality inspection rules.

[0084] Let the breaking strength be YF, the modulus of rupture be TF, the span be F, the maximum load be K, the width be d, and the minimum width of the fracture section be dmin. There is a breaking strength formula t3: YF = F * K / d, and there is a modulus of rupture formula t4: TF = TF / (dmin * dmin), and the two share a summation average formula t5: , where y is the abstract expression of the breaking strength YF or modulus of rupture TF of the corresponding sample. When calculating the average value of the breaking strength YF, y is the breaking strength YF, and when calculating the average value of the modulus of rupture, y is the modulus of rupture TF; x represents the variable value corresponding to a certain sample, and the natural number n represents the number of samples; it should be noted that the above formula is only one of the feasible calculation formulas, and the final formula used is adjusted according to the actual scenario requirements.

[0085] The specific implementation method includes the following steps.

[0086] Destruction strength, modulus of rupture, and water absorption detection steps: Select a detection instrument capable of detecting destruction strength, modulus of rupture, and water absorption. Add samples by responding to the readings of the detection instrument. The span of the reading of the detection instrument is F, the maximum load is K, the width is d, and the minimum width of the fracture surface is dmin. Calculate the destruction strength YF and the modulus of rupture TF according to formulas t3 and t4 respectively. When YF < A or TF < A, determine that the sample fails and modify the status to failed.

[0087] Repeat the above destruction strength, modulus of rupture, and water absorption detection steps. During the process of adding samples each time, record the data of the previous samples as a detection group. Each time when adding, calculate YF and TF according to formula t5, and display the average destruction strength B2 and the average modulus of rupture B3 of the detection group. When no sample is added and B2 < B or B3 < B, determine that the detection group fails and modify the status to failed.

[0088] Optionally, the present invention conducts firing quality inspection of thermal stability according to the following preset firing quality inspection rules:

[0089] Let the thermal stability determination values of the sample in three different intervals be r1, r2, and r3 respectively, where r1, r2, r3 ∈ [0, 1] and r1, r2, r3 ∈ N*. In particular, when the deformation of the sampling area is read by a thermal stability instrument某次, the r value is taken as 0, otherwise 1. There is an average value operation formula t6: R = r1 & r2 & r3. Formula t5 can also be used as the average value operation formula. It should be noted that r1, r2, and r3 participate in the computer logic AND operation in the above formula. When two binary numbers with a value range of [0, 1] participate in the logic AND operation, the operation result is 1 when both values are 1, and the calculation result is 0 when they are different. It should be noted that the above formula is only one of the formulas that can be calculated, and the final formula is adjusted according to the actual scenario requirements.

[0090] The specific implementation method includes the following steps.

[0091] Thermal stability detection steps: Select a detection instrument capable of detecting thermal stability. Add samples by responding to the readings of the detection instrument. Read the three determination values r1, r2, and r3 of the detection instrument readings, and calculate the average thermal stability R of the sample according to formula t6. When R = 0, determine that the sample fails and modify the status to failed.

[0092] Repeat the thermal stability detection steps. During the process of adding samples each time, record the data of the previous samples as a detection group. Each time when adding, calculate R according to formula t5 and display the qualified average thermal stability R of the detection group. When no sample is added and the average thermal stability R < B, determine that the detection group fails and modify the status to failed.

[0093] Optionally, the present invention performs firing quality inspection of press powder particle grading and moisture detection according to the following preset firing quality inspection rules.

[0094] Assume that the mesh number is T, the particle size distribution under the mesh number is D(T), the mass of the mesh number is M(T), the water mass under the mesh number is MS(T), the total water mass is MS(total), and the total mass is M(total); the particle grading formula of powder particles under the mesh number is t7: D(T)=M(T) / M(total)*100%; the formula for the moisture content of powder under the mesh number is t8: W=MS(T) / M(T)*100%; it should be noted that the above formula is only one of the feasible formulas for calculation, and the final formula should be adjusted according to the actual scenario needs.

[0095] The specific implementation method includes the following steps:

[0096] Steps for testing the particle gradation and moisture content of press powder: Select a testing instrument that can detect the particle gradation and moisture content of press powder, and add a sample by responding to the reading of the testing instrument. Read the T of the testing instrument reading, the mass of the mesh is M(T), the water mass under the mesh is MS(T), the total water mass is MS(total), and the total mass is M(total). Calculate the particle gradation D(T) of the sample powder particles according to formula t7. According to the process control of the particle gradation of traditional tile powder, it can be obtained that when T<20, if D(T)>0.2%, the sample is judged as unqualified and the status is modified to unqualified. When T>=20 and T<=60, if D(T)<70% or D(T)>75%, the sample is judged as unqualified and the status is modified to unqualified. When T>60 and T<=100, if D(T)<22% or D(T)>27%, the sample is judged as unqualified and the status is modified to unqualified. When T>100, if D(T)>3%, the sample is judged as unqualified and the status is modified to unqualified. The moisture content W of the powder is calculated according to formula t8. According to the traditional tile powder moisture control, if W is not within the range of 7.4%-7.9%, the sample is judged as unqualified and the status is modified to unqualified.

[0097] Optionally, the present invention performs firing quality inspection of cutting performance according to the following preset firing quality inspection rules.

[0098] Assume that the sample interval boundary is set X, Y, and the judgment results of cutting performance are j(x, y), where j(x, y)∈[0,1] and j∈N*, x∈X, y∈Y. In particular, when the sample cutting is abnormal (such as breakage, etc.), the value of j(x, y) is 0, otherwise it is 1. Cutting performance calculation formula t9: ; Similarly, formula t5 can also be used as the mean operation formula; it should be noted that the above formulas are only one of the feasible calculation formulas, and the final formula used is adjusted according to the actual scenario requirements.

[0099] The specific implementation method includes the following steps.

[0100] Cutting detection step: Select a detection instrument related to the cutting performance that can be detected, add samples through the response detection instrument, and add a sampling area to the response detection instrument reading. Read the cutting performance readings j(x, y) in different areas of the detection instrument, and calculate the cutting performance J of the sample according to formula t9. When no sampling area is added to the sample and J = 0 appears, determine that the sample fails and modify the status to failed.

[0101] Repeat the cutting detection step, and record the data of the previous sample as the detection group during each sample addition process. Each time when adding, calculate the mean cutting performance J of the detection group by calculating J according to formula t5; when no sample is added and J < B appears, determine that the detection group fails and modify the status to failed.

[0102] Optionally, the present invention performs firing quality inspection of dimensions according to the following preset firing quality inspection rules, and the dimensions at least include length dimension, width dimension and thickness dimension.

[0103] Let the length of the sample be l, the width be h, the thickness be d, the corresponding standard length of the sample be l0, the width be h0, the thickness be d0, and the error percentage be z%. The length dimension calculation formula t10: L = (l - l0) / l0 * 100%; the width dimension calculation formula t11: H = (h - h0) / h0 * 100%; the thickness dimension calculation formula t12: D = (d - d0) / d0 * 100%; it should be noted that the above formulas are only one of the feasible calculation formulas, and the final formula used is adjusted according to the actual scenario requirements.

[0104] The specific implementation method includes the following steps.

[0105] Dimension detection step: Select a detection instrument related to the dimensions that can be detected, add samples through the response detection instrument reading, read the detection instrument reading, obtain the length l, the width h, and the thickness d, and query the database to obtain the corresponding product standard length l0, width h0, and thickness d0. Calculate the three - dimension comparisons L, H, and D according to formulas t10, t11, and t12. If the error among L, H, and D is outside ±z%, determine that the sample fails and modify the status to failed.

[0106] Here, the product firing process status is generated according to the third product information and the preset firing quality inspection rules, and by judging the specific firing process parameters such as water absorption, destructive strength, thermal stability, etc., the qualified or unqualified status corresponding to various product firing information in the product firing process scene can be obtained in real time.

[0107] In step S300, the product status and the product scenario status are interactively verified and updated according to a preset time period to generate a product quality status, including:

[0108] Set the first product association rule corresponding to the product warehousing status;

[0109] Set the second product association display rule corresponding to the product incoming status;

[0110] The product warehousing status is marked with corresponding scene inspection information according to the first product association rule, and / or the product incoming material status is marked with corresponding scene inspection information according to the second product association rule, and updated according to a preset time period.

[0111] Specifically, the first product association rule includes various parameters corresponding to the warehouse status of the finished product, as well as various historical data before the product is finished, such as the product incoming material stage and the product production process stage. By tracing the historical data, the product can be traced in time and space.

[0112] Specifically, historical data includes the following categories: number of pieces and square meters received, number of work orders received, rate of excellent products received, and other data.

[0113] Specifically, the number of pieces entering the warehouse is the number of finished products entering the warehouse, in pieces. The number of square meters entering the warehouse is the number of square meters of finished products entering the warehouse calculated according to the product square calculation formula, that is, the number of finished products entering the warehouse * product length * product width / 10000.

[0114] Specifically, the number of warehousing work orders is the number of finished product warehousing work orders entered by the quality inspection operator.

[0115] Specifically, the warehouse entry excellence rate is a value obtained by the formula: the number of products with excellent grade among the finished products entering the warehouse / the total number of finished products entering the warehouse.

[0116] Specifically, when the quality inspection operator completes the entry of the work order, based on the number of finished products entering the warehouse recorded in the work order and the number of finished products entering the warehouse with excellent product grade, the database is updated with data such as the number of pieces and square meters entering the warehouse, the number of work orders entering the warehouse, and the excellent rate of entering the warehouse.

[0117] Optionally, the above historical data is displayed through multimedia means (taking a large data screen as an example in the present invention) to display real-time historical data and guide production activities.

[0118] Specifically, the second product association rule associates and displays the serial number, delivery license plate, time, transport material, and weight, that is, when the vehicle delivers goods, it is weighed, the quality inspection is carried out on site, the full vehicle is weighed, the goods are received and unloaded after passing the quality inspection, the empty vehicle is weighed, the weight and material of the scale are obtained, and the raw material incoming inspection report is issued, and finally the data is dynamically updated and displayed on the large screen.

[0119] The present invention processes and presents the complete process of ceramic products such as incoming materials, production, and warehousing in a regular manner, helping users to quickly grasp the key points of the data, helping users to make more accurate analysis and decisions, and improving production quality. The present invention uses system rules to guide on-site quality process inspections, process mobile equipment input, and automatic import of product basic information. It has powerful data processing capabilities, and inspection points can be quickly input to obtain inspection results, which improves work efficiency; it is more flexible and efficient to update and modify information through the network; the inspection documents are managed in an electronic and standardized manner, and the process inspection is permanently traceable, which improves the efficiency of process quality inspections and the transferability of information; finally, the generated inspection results are visualized on a large screen, and real-time data is updated to help users quickly grasp the key points of the data, help users make more accurate analysis and decisions, and improve production quality.

[0120] like Figure 2 As shown, the second aspect of the present invention provides a quality inspection system for the ceramic industry, comprising:

[0121] A first acquisition module, at least for acquiring and determining a product status based on the product and a corresponding product inspection rule;

[0122] A second acquisition module is at least used to acquire and determine the product scene state based on the scene corresponding to the product and the scene sampling rule corresponding to the scene, wherein the scene state includes at least one of the product warehousing scene, the product incoming material scene and the product process scene;

[0123] The quality inspection module is at least used to interactively verify and update the product status and the product scenario status according to a preset time period to generate a product quality status.

[0124] Here, through this method, the present invention performs regular processing and complete presentation of the complete process of ceramic products such as incoming materials, production, and warehousing, helping users to quickly grasp the key points of the data, helping users to make more accurate analysis and decisions, and improving production quality.

[0125] Based on the same idea as the method in the above-mentioned embodiment, the quality inspection system for the ceramic industry provided by the present application can implement the method in the above-mentioned embodiment. For the convenience of explanation, the structural schematic diagram of the system embodiment only shows the parts related to the embodiment of the present application. Those skilled in the art can understand that the illustrated structure does not constitute a limitation on the system, and may include more or fewer modules than shown in the figure, or a combination of certain modules, or different module arrangements.

[0126] like Figure 3 As shown, the third aspect of the present application provides an electronic device, comprising: at least one processor; and at least one memory communicatively connected to the processor, wherein: the memory stores program instructions executable by the processor, and the processor calls the program instructions to execute a method as described in any of the above embodiments.

[0127] In a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a computer, the method described in any of the above embodiments is executed.

[0128] It can be understood that computer-readable storage media may include: any entity or device capable of carrying a computer program, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), and a software distribution medium, etc. A computer program includes a computer program code. The computer program code may be in source code form, object code form, an executable file, or some intermediate form, etc. A computer-readable storage medium may include: any entity or device capable of carrying a computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), and a software distribution medium, etc.

[0129] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present invention belong.

[0130] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0131] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A quality inspection method for the ceramic industry, characterized in that: include: Obtain and determine product status based on the product and corresponding product inspection rules; Obtain and determine the product scenario status based on the scenario corresponding to the product and the scenario spot check rule corresponding to the scenario, wherein the product scenario status includes at least one status of the product in the product warehousing scenario, the product incoming material scenario, and the product process scenario; The product status and the product scenario status are interactively verified and updated according to a preset time period to generate a product quality status, wherein: The obtaining and determining the product status based on the product and the corresponding product inspection rule includes: Acquire first product information and first execution information of the product, where the first execution information is derived from input information of the quality inspection end; Associating at least one preset product inspection rule based on the first product information, and generating a product status according to the preset product inspection rule and the first execution information; The scenario corresponding to the product also includes a warehouse quality inspection scenario, and the scenario spot check rule includes a preset spot check rule and a preset missed inspection rule; the obtaining and determining the product scenario status based on the scenario corresponding to the product and the scenario spot check rule corresponding to the scenario also includes: Acquire second product information and second execution information of the product in the warehouse quality inspection scenario, where the second execution information is derived from operation information on the warehouse side; Acquire the product to be missed inspection based on the second product information and the preset sampling rule, and determine the product missed inspection rate and / or provide product public information based on the product to be missed inspection, the second execution information and the preset missed inspection rule; The scenario corresponding to the product also includes a process quality inspection scenario, and the scenario spot check rule also includes a preset process rule, and the preset process rule corresponds to the process quality inspection scenario; the obtaining and determining the product scenario status based on the scenario corresponding to the product and the scenario spot check rule corresponding to the scenario also includes: Acquire third product information of the product in the process quality inspection scenario, wherein the third product information is associated with at least one preset process quality inspection rule; Determine the product process status based on the third product information and the preset process quality inspection rules; The interactive verification and updating of the product status and the product scenario status according to a preset time period to generate a product quality status includes: Set the first product association rule corresponding to the product warehousing status; Set the second product association display rule corresponding to the product incoming status; The product warehousing status is marked with corresponding scene inspection information according to the first product association rule, and / or the product incoming material status is marked with corresponding scene inspection information according to the second product association display rule, and updated according to a preset time period.

2. The quality inspection method for the ceramic industry according to claim 1, characterized in that: The interactive verification and updating of the product status and the product scenario status according to a preset time period to generate a product quality status includes: The product status and product missed inspection rate are indexed to generate a real-time quality inspection status of the finished product; The product defect situation and corresponding product defect parameters are obtained based on the product status and updated according to a preset time period.

3. The quality inspection method for the ceramic industry according to claim 1, characterized in that: The process quality inspection scenario includes a firing quality inspection scenario; the third product information includes product firing information, and the product firing information includes water absorption, destructive strength and fracture strength, thermal stability, press powder particle grading and moisture detection, cutting performance and / or size in the firing process scenario.

4. The quality inspection method for the ceramic industry according to claim 3, characterized in that: The determining of the product process status based on the third product information and the preset process quality inspection rule includes: Associating at least one preset firing quality inspection rule based on the product firing information; Obtain samples based on third-party product information and preset sampling rules; Based on the samples and preset firing quality inspection rules, the parameters contained in the firing information of each product are judged for their eligibility to generate the firing process status of the product.

5. A quality inspection system for the ceramic industry, characterized in that: include: A first acquisition module, at least for acquiring and determining a product status based on the product and a corresponding product inspection rule; A second acquisition module is at least used to acquire and determine a product scenario state based on a scenario corresponding to the product and a scenario sampling rule corresponding to the scenario, wherein the product scenario state includes at least one state of the product in a product warehousing scenario, a product incoming material scenario, and a product process scenario; The quality inspection module is at least used to interactively verify and update the product status and the product scenario status according to a preset time period to generate a product quality status; wherein: The obtaining and determining the product status based on the product and the corresponding product inspection rule includes: Acquire first product information and first execution information of the product, where the first execution information is derived from input information of the quality inspection end; Associating at least one preset product inspection rule based on the first product information, and generating a product status according to the preset product inspection rule and the first execution information; The scenario corresponding to the product also includes a warehouse quality inspection scenario, and the scenario spot check rule includes a preset spot check rule and a preset missed inspection rule; the obtaining and determining the product scenario status based on the scenario corresponding to the product and the scenario spot check rule corresponding to the scenario also includes: Acquire second product information and second execution information of the product in the warehouse quality inspection scenario, where the second execution information is derived from operation information on the warehouse side; Acquire the product to be missed inspection based on the second product information and the preset sampling rule, and determine the product missed inspection rate and / or provide product public information based on the product to be missed inspection, the second execution information and the preset missed inspection rule; The scenario corresponding to the product also includes a process quality inspection scenario, and the scenario spot check rule also includes a preset process rule, and the preset process rule corresponds to the process quality inspection scenario; the obtaining and determining the product scenario status based on the scenario corresponding to the product and the scenario spot check rule corresponding to the scenario also includes: Acquire third product information of the product in the process quality inspection scenario, wherein the third product information is associated with at least one preset process quality inspection rule; The obtaining and determining the product scenario status based on the scenario corresponding to the product and the scenario spot check rule corresponding to the scenario includes: Acquire third product information of the product in the process quality inspection scenario, wherein the third product information is associated with at least one preset process quality inspection rule; Determine the product process status based on the third product information and the preset process quality inspection rules; The interactive verification and updating of the product status and the product scenario status according to a preset time period to generate a product quality status includes: Set the first product association rule corresponding to the product warehousing status; Set the second product association display rule corresponding to the product incoming status; The product warehousing status is marked with corresponding scene inspection information according to the first product association rule, and / or the product incoming material status is marked with corresponding scene inspection information according to the second product association display rule, and updated according to a preset time period.

6. An electronic device, characterized in that: include: at least one processor; And at least one memory communicatively connected to the processor, wherein: the memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the quality inspection method for the ceramic industry as described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is run by a computer, the quality inspection method for the ceramic industry as claimed in any one of claims 1 to 4 is executed.

Images