CN117787776A - Quality inspection system of material - Google Patents
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- 238000007689 inspection Methods 0.000 title claims abstract description 240
- 239000000463 material Substances 0.000 title claims abstract description 169
- 230000000007 visual effect Effects 0.000 claims abstract description 85
- 238000004458 analytical method Methods 0.000 claims abstract description 10
- 238000012360 testing method Methods 0.000 claims description 33
- 238000003860 storage Methods 0.000 claims description 10
- 230000004044 response Effects 0.000 claims description 6
- 239000013077 target material Substances 0.000 claims description 6
- 238000012552 review Methods 0.000 claims description 4
- 238000003908 quality control method Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 description 9
- 238000004519 manufacturing process Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
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- 238000005859 coupling reaction Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000012946 outsourcing Methods 0.000 description 2
- 239000003973 paint Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000002411 adverse Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 238000011282 treatment Methods 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The application provides a quality inspection system of materials, which comprises a task creation module, a quality inspection module and a quality inspection module, wherein the task creation module is used for generating quality inspection tasks corresponding to the types of the materials according to the acquired label information of the materials, and the quality inspection tasks are used for indicating inspection items of the materials needing quality inspection; the analysis module is used for determining whether the material needs to be manually rechecked according to the visual quality inspection information, if so, generating a rechecking task and sending the rechecking task to a second quality inspector terminal, so that a quality inspector can manually recheck the material, and updating the value of a corresponding inspection item according to the rechecking result of the material uploaded by the quality inspector terminal; and the judging module is used for determining the quality inspection result of the material according to the visual quality inspection information and/or the non-visual quality inspection information of the material so as to improve the speed and accuracy of the quality inspection of the material.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a quality inspection system for materials.
Background
With the rapid development of industrial manufacturing industry, product quality problems are increasingly prominent. In order to improve the product quality, enterprises need to carry out strict quality inspection on each link in the production process. However, the conventional quality inspection method often has the problems of low efficiency, poor accuracy and the like, and cannot meet the requirements of modern industrial production. Thus, there is a need for a more efficient, accurate quality inspection system.
Disclosure of Invention
Accordingly, an object of the present application is to provide a quality inspection system for materials, so as to improve the speed and accuracy of quality inspection of the materials.
In a first aspect, the present application provides a quality inspection system for a material, the system comprising:
the task creation module is used for generating quality inspection tasks corresponding to the types of the materials according to the acquired label information of the materials, wherein the quality inspection tasks are used for indicating inspection items of the materials which need quality inspection;
the visual quality inspection module is used for acquiring an acquired image of the material according to the received quality inspection task, and inputting a visual quality inspection model corresponding to each inspection item to the material so as to acquire visual quality inspection information of the material;
the non-visual quality inspection module is used for sending the received quality inspection task to the corresponding first quality inspector terminal, so that the quality inspector can manually inspect the material and acquire the non-visual quality inspection information of the material uploaded by the quality inspector terminal;
the analysis module is used for determining whether the material needs to be manually rechecked according to the visual quality inspection information, if so, generating a rechecking task and sending the rechecking task to a second quality inspector terminal, so that a quality inspector can manually recheck the material, and updating the value of a corresponding inspection item according to the rechecking result of the material uploaded by the quality inspector terminal;
and the judging module is used for determining the quality inspection result of the material according to the visual quality inspection information and/or the non-visual quality inspection information of the material.
Preferably, the system further comprises an acquisition module for scanning a label preset on the material before the material is put in storage, so as to acquire label information of the material and send the label information to the task creation module.
Preferably, the system further comprises a display module for generating and displaying a quality inspection chart according to quality inspection results of all materials in the same batch.
Preferably, the quality inspection task is further for indicating an inspection tool corresponding to the inspection item, and the system further comprises a base configuration module for determining the inspection item and inspection tool configured for the material to generate a label for the material.
Preferably, the system further comprises a marking module, which is used for obtaining visual quality inspection information before and after the material re-inspection and marking the material re-inspection; and the optimizing module is used for adjusting the parameters of the corresponding visual quality inspection model based on the updated inspection items in the marked visual quality inspection information so as to optimize the visual quality inspection model.
Preferably, the system further comprises a storage module for storing quality inspection results of the materials and sending material information qualified in the quality inspection results to the warehouse management system.
Preferably, the base configuration module determines the inspection items configured for the material by: in response to a selection operation of the test item class received at the test item configuration interface, displaying all test item entries under the selected test item class in the test item configuration interface; and responding to the selection operation received by the target test item entry, and determining the test item as the test item corresponding to the target material.
Preferably, the label further includes a visual quality inspection supporting option, in the inspection item configuration interface, a visual quality inspection supporting item corresponding to each inspection item is further displayed, and the basic configuration module is further configured to: in response to receiving the selection operation of the support visual quality inspection item, determining that the value of the support visual quality inspection option of the corresponding inspection item in the label of the target material is yes.
Preferably, the task creation module generates a quality inspection task for the material by: determining whether all inspection items indicated by the quality inspection task of the material have inspection items with values supporting the visual quality inspection options of no; if the visual quality inspection task exists, generating a non-visual quality inspection task and a visual quality inspection task of the material; if not, generating a visual quality inspection task of the material.
Preferably, the analysis module determines whether the material requires a manual review by: determining whether a value of a test item in visual quality inspection information of the material indicates a bad phenomenon; if the material exists, determining that the material needs to be manually rechecked; if the material does not exist, the material is determined to not need manual rechecking.
The quality inspection system for the materials comprises a task creation module, a visual quality inspection module, a non-visual quality inspection module, an analysis module and a judgment module, wherein the task creation module is used for generating quality inspection tasks corresponding to the types of the materials according to the acquired label information of the materials, and the quality inspection tasks are used for indicating inspection items of the materials needing quality inspection; the visual quality inspection module is used for acquiring an acquired image of the material according to the received quality inspection task, and inputting a visual quality inspection model corresponding to each inspection item to the material so as to acquire visual quality inspection information of the material; the non-visual quality inspection module is used for sending the received quality inspection task to the corresponding first quality inspector terminal, so that a quality inspector can manually inspect the material, and non-visual quality inspection information of the material uploaded by the quality inspector terminal can be obtained; the analysis module is used for determining whether the material needs to be manually rechecked according to the visual quality inspection information, if so, generating a rechecking task and sending the rechecking task to a second quality inspector terminal, so that a quality inspector can manually recheck the material, and updating the value of a corresponding inspection item according to the rechecking result of the material uploaded by the quality inspector terminal; the judging module is used for determining the quality inspection result of the material according to the visual quality inspection information and/or the non-visual quality inspection information of the material. By establishing a full-flow and automatic quality inspection system, the burden of manual quality inspection is reduced, and meanwhile, the accuracy and efficiency of quality inspection are ensured.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a quality inspection system for materials according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of another material quality inspection system according to an embodiment of the present disclosure.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. Based on the embodiments of the present application, every other embodiment that a person skilled in the art would obtain without making any inventive effort is within the scope of protection of the present application.
First, application scenarios applicable to the present application will be described. The method and the device can be applied to quality detection of materials in industrial enterprises.
Based on this, the embodiment of the application provides a quality control system of material.
Example 1
Referring to fig. 1 and fig. 2, fig. 1 is a schematic structural diagram of a quality inspection system for a material according to an embodiment of the present application, and fig. 2 is a schematic structural diagram of a quality inspection system for another material according to an embodiment of the present application. As shown in fig. 1 and 2, a quality inspection system for materials provided in an embodiment of the present application includes a task creation module 10, a visual quality inspection module 20, a non-visual quality inspection module 30, an analysis module 40, and a decision module 50.
The task creation module 10 is configured to generate a quality inspection task corresponding to a category of a material according to the obtained tag information of the material, where the quality inspection task is used to indicate an inspection item for which quality inspection is required for the material.
The label information may be preset in the warehouse receiving process, and in the receiving process, the quality inspection system receives the material data sent by the warehouse management system, where the material data includes information such as a material number, manufacturer information, a material production type, a material name, a buyer name, a work order number, and the like. For example, the materials can be "press-fit carrier", "finished product", the production information is "XX factory", "XX technology Co., ltd", the purchasing member is "Zhang XX", and the material number is "PC231122000472".
The source of the materials can be various sources such as purchasing, outsourcing, on-site processing, finished products and the like.
For different materials, warehouse personnel can configure corresponding quality inspection items and quality inspection tools to wait for detection information based on received material data. In general, the same lot of goods may be configured with the same information to be detected.
The quality inspection task is also used to indicate inspection tools corresponding to the inspection items, and the system further includes a base configuration module 70 for determining the inspection items and inspection tools to which the material is configured to generate a label for the material.
Specifically, the base configuration module 70 may determine the inspection items configured by the materials by:
in response to a selection operation of the test item class received at the test item configuration interface, all test item entries under the selected test item class are presented in the test item configuration interface. And responding to the selection operation received by the target test item entry, and determining the test item as the test item corresponding to the target material.
The label also comprises a visual quality inspection supporting option, in the inspection item configuration interface, a visual quality inspection supporting item corresponding to each inspection item is also displayed, and the basic configuration module is also used for:
in response to receiving the selection operation of the support visual quality inspection item, determining that the value of the support visual quality inspection option of the corresponding inspection item in the label of the target material is yes.
The task creation module 10 may generate quality inspection tasks for materials by:
it is determined whether a test item with a value of no supporting the visual quality inspection option exists among all test items indicated by the quality inspection task of the material. If so, generating a non-visual quality inspection task and a visual quality inspection task of the material. If not, generating a visual quality inspection task of the material.
Warehouse personnel can log in the quality inspection system through the mobile terminal or the non-mobile terminal, and the quality inspection system can provide an inspection item configuration interface for configuring information to be detected for single or batch materials so as to generate corresponding two-dimensional codes. Whether the visual quality inspection option is supported can also be configured, and for materials which can be automatically detected through the visual quality inspection model, the visual quality inspection model can be directly adopted for quality inspection, and then the value of the visual quality inspection support option is set to be yes. For some inspection projects requiring manual intervention, the quality inspection projects can be distributed to corresponding quality inspection personnel for quality inspection and parameter input after the visual quality inspection is finished. For example, the "dimensional tolerance" and "fit" test items require manual measurements to ensure accuracy.
The inspection items of the material may include a plurality of inspection item categories such as IQC material, color, appearance, structure, size, function, fit, and the like. Each test item broad category may include a plurality of test items such as paint baking color differences, surface pits, burrs, finishes, knifing, lettering, tolerance dimensions, hole accuracy, and the like.
Specifically, the label information may be obtained by scanning a label configured by the material, and may be that one material corresponds to one label, or that one batch of materials corresponds to one label. The label information comprises inspection items, inspection tools and the like of materials to be inspected, and can also comprise a material number, which is part of the information to be inspected.
For example, the label preset on the material may be scanned by the collection module 60 before the material is put in storage to obtain label information of the material and send the label information to the task creation module. The acquisition module 60 may be an electronic device such as a handheld PAD.
The vision quality inspection module 20 is used for acquiring an acquired image of the material according to the received quality inspection task, and inputting a vision quality inspection model corresponding to each inspection item to the material so as to acquire vision quality inspection information of the material.
Here, a plurality of different vision quality inspection models can be trained and generated in advance, and image recognition is performed on different materials and different features. For example, the identified features may be "surface pits", "paint bake color differences", "missing processing lettering", "smudging", and the like.
The non-visual quality inspection module 30 is configured to send the received quality inspection task to a corresponding first quality inspector terminal, so that a quality inspector performs manual inspection on the material, and obtains non-visual quality inspection information of the material uploaded by the quality inspector terminal.
The first quality inspector terminal herein may be a mobile device or a non-mobile device. Different quality inspectors may be responsible for inspecting the same inspection item, i.e., each material may correspond to multiple visual and non-visual quality inspection tasks, assigned to different models or quality inspector treatments.
For the non-visual quality inspection task, the label information can also carry an inspection tool corresponding to the inspection item, so that the standardization of quality inspection is ensured, and the work of a quality inspector with less experience can be assisted.
The analysis module 40 is configured to determine whether the material needs to be manually re-inspected according to the visual quality inspection information, if so, generate a re-inspection task and send the re-inspection task to the second quality inspector terminal, so that the quality inspector performs manual re-inspection on the material, and update the value of the corresponding inspection item according to the re-inspection result of the material uploaded by the quality inspector terminal.
The analysis module 40 may determine whether the material requires a manual review by:
and determining whether a value of the inspection item exists in the visual quality inspection information of the material to indicate that the material is bad. If so, determining that the material needs to be manually rechecked. If the material does not exist, the material is determined to not need manual rechecking.
According to the configuration, when the quality inspection result of part of types (commercial, outsource and finished product) of materials contains bad quality, the judgment needs to be manually repeated.
The system further includes a storage module 80 and a tagging module 90 and an optimization module 100. The marking module 90 is configured to obtain visual quality inspection information before and after the material re-inspection for the re-inspected material, and perform marking. The optimization module 100 is configured to adjust parameters of the corresponding visual quality inspection model based on the updated inspection items in the marked visual quality inspection information, so as to optimize the visual quality inspection model. The storage module 80 is used for storing the quality inspection result of the material and sending the material information qualified in the quality inspection result to the warehouse management system.
Depending on the basic configuration, different ng engineers will be responsible for review of different quality inspection items to determine whether they are erroneous or truly bad, if erroneous, such data will be marked, stored in a database, and model training parameters will be subsequently adjusted to adjust recognition accuracy.
The decision module 50 is configured to determine a quality inspection result of the material according to visual quality inspection information and/or non-visual quality inspection information of the material.
Decision module 50 may collect the quality inspection results of the material and upload them collectively into a database (memory module). The quality inspection result can also be fed back to production personnel so as to promote the improvement of the production quality.
According to the quality inspection system, the burden of manual quality inspection is reduced by establishing a full-flow and automatic quality inspection system, and meanwhile, the accuracy and the efficiency of quality inspection are guaranteed.
Example two
In this embodiment, the quality inspection system further includes a display module 110, configured to statistically generate and display a quality inspection chart for the materials in the same batch according to quality inspection results of all materials in the batch.
The comparison of multiple suppliers can be performed for the same type of materials, the comparison of multiple batches can be performed for the same supplier, or the statistics of multiple different adverse phenomena in the same batch of materials can be performed, and a corresponding statistical chart is formed based on service requirements and displayed to a user.
For example, corresponding to purchasing and outsourcing materials, the defective rate of the products of the suppliers can be counted, and corresponding measures can be taken. Such as by changing suppliers, etc.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the foregoing examples are merely specific embodiments of the present application, and are not intended to limit the scope of the present application, but the present application is not limited thereto, and those skilled in the art will appreciate that while the foregoing examples are described in detail, the present application is not limited thereto. Any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or make equivalent substitutions for some of the technical features within the technical scope of the disclosure of the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A system for quality inspection of a material, the system comprising:
the task creation module is used for generating quality inspection tasks corresponding to the types of the materials according to the acquired label information of the materials, wherein the quality inspection tasks are used for indicating inspection items of the materials which need quality inspection;
the visual quality inspection module is used for acquiring an acquired image of the material according to the received quality inspection task, and inputting a visual quality inspection model corresponding to each inspection item to the material so as to acquire visual quality inspection information of the material;
the non-visual quality inspection module is used for sending the received quality inspection task to the corresponding first quality inspector terminal, so that the quality inspector can manually inspect the material and acquire the non-visual quality inspection information of the material uploaded by the quality inspector terminal;
the analysis module is used for determining whether the material needs to be manually rechecked according to the visual quality inspection information, if so, generating a rechecking task and sending the rechecking task to a second quality inspector terminal, so that a quality inspector can manually recheck the material, and updating the value of a corresponding inspection item according to the rechecking result of the material uploaded by the quality inspector terminal;
and the judging module is used for determining the quality inspection result of the material according to the visual quality inspection information and/or the non-visual quality inspection information of the material.
2. The system of claim 1, wherein the system further comprises:
the acquisition module is used for scanning the labels preset on the materials before the materials are put in storage so as to acquire the label information of the materials and send the label information to the task creation module.
3. The system of claim 1, wherein the system further comprises:
and the display module is used for counting and generating a quality inspection chart and displaying the quality inspection chart according to quality inspection results of all materials in the same batch aiming at the materials in the same batch.
4. The system of claim 2, wherein the quality inspection task is further for indicating an inspection tool corresponding to an inspection item, the system further comprising:
and the basic configuration module is used for determining the inspection items and inspection tools configured by the materials so as to generate labels of the materials.
5. The system of claim 1, wherein the system further comprises:
the marking module is used for acquiring visual quality inspection information before and after the material re-inspection aiming at the re-inspected material and marking the material;
and the optimizing module is used for adjusting the parameters of the corresponding visual quality inspection model based on the updated inspection items in the marked visual quality inspection information so as to optimize the visual quality inspection model.
6. The system of claim 1, wherein the system further comprises:
the storage module is used for storing the quality inspection result of the materials and sending the material information qualified in the quality inspection result to the warehouse management system.
7. The system of claim 4, wherein the base configuration module determines the inspection items configured for the material by:
in response to a selection operation of the test item class received at the test item configuration interface, displaying all test item entries under the selected test item class in the test item configuration interface;
and responding to the selection operation received by the target test item entry, and determining the test item as the test item corresponding to the target material.
8. The system of claim 7, wherein the tag further includes a visual quality control support option, and wherein a visual quality control support entry corresponding to each test item entry is presented in the test item configuration interface, and wherein the base configuration module is further configured to:
in response to receiving the selection operation of the support visual quality inspection item, determining that the value of the support visual quality inspection option of the corresponding inspection item in the label of the target material is yes.
9. The system of claim 1, wherein the task creation module generates the quality inspection task for the material by:
determining whether all inspection items indicated by the quality inspection task of the material have inspection items with values supporting the visual quality inspection options of no;
if the visual quality inspection task exists, generating a non-visual quality inspection task and a visual quality inspection task of the material;
if not, generating a visual quality inspection task of the material.
10. The system of claim 9, wherein the analysis module determines whether the material requires a manual review by:
determining whether a value of a test item in visual quality inspection information of the material indicates a bad phenomenon;
if the material exists, determining that the material needs to be manually rechecked;
if the material does not exist, the material is determined to not need manual rechecking.
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