Production quality inspection processing method and device, electronic equipment and storage medium

Through automated production quality inspection methods, using task inspection models and image acquisition technology, the problem of quality inspection results in milk and dairy product production workshops being affected by human factors was solved, and efficient and accurate quality inspections were achieved.

CN120725307APending Publication Date: 2025-09-30蒙牛乳业(宁夏)有限公司 +1
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Patent Information

Application Number
CN202410364789.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-03-28
Publication Date
2025-09-30

AI Technical Summary

Technical Problem

In the existing technology, product quality inspection in milk and dairy product production workshops relies on paper rules and manual verification, resulting in quality inspection results being greatly affected by human subjective factors, low verification frequency and insufficient coverage.

Method used

An automated production quality inspection method is adopted to obtain task information, call the matching inspection strategy to build a task work order, collect image information and input it into the pre-trained model to determine whether it meets the requirements, initiate rectification information and record the results, and realize automatic inspection and closed-loop supervision.

Benefits of technology

It reduces labor costs, improves the accuracy of quality inspection results, reduces the influence of human subjective factors, and realizes automated and efficient quality inspection.

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Abstract

The invention provides a production quality inspection processing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the task information of a to-be-inspected task, and enabling the task information to comprise the target product business type of the to-be-inspected task; according to the target product service type of the to-be-inspected task, calling a target inspection strategy matched with the target product service type to construct an inspection task work order; acquiring task execution image information of the to-be-inspected task according to the inspection task work order; the task execution image information is input to a task inspection model obtained through pre-training, an inspection result corresponding to the task execution image information and output by the task inspection model is obtained, and the task inspection model is used for judging whether the task execution image information meets a preset requirement or not based on the task execution image information. According to the invention, automatic inspection is realized, the labor cost is reduced, the accuracy of the quality inspection result is improved, and the influence of human subjective factors is reduced.
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Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a production quality inspection processing method, device, electronic equipment and storage medium. Background Art

[0002] In milk and dairy product production workshops, product quality inspections are often distributed to multiple production operators in the form of paper-based inspection rules. These personnel conduct product quality inspections based on their production experience and in accordance with the paper-based inspection rules. Quality inspectors then conduct random checks and verifications based on the actual implementation of the production operators. The effectiveness of the implementation is completely controlled by the quality inspection personnel. The frequency of verification is constrained by the workload of the quality inspection personnel, the coverage rate of the verification positions is low, and the quality inspection results are affected by human subjective factors.

[0003] Therefore, finding a production quality inspection method that can automatically perform inspections and reduce the influence of human subjective factors on quality inspection results has become a research hotspot. Summary of the Invention

[0004] The present invention provides a production quality inspection processing method, device, electronic equipment and storage medium, which realize automatic inspection, reduce labor costs, improve the accuracy of quality inspection results, and reduce the influence of human subjective factors.

[0005] The present invention provides a production quality inspection processing method, which includes: obtaining task information of a task to be inspected, wherein the task information includes the target product business type of the task to be inspected; based on the target product business type of the task to be inspected, calling a target inspection strategy that matches the target product business type to construct an inspection task work order; according to the inspection task work order, collecting task execution image information of the task to be inspected; inputting the task execution image information into a pre-trained task inspection model to obtain an inspection result corresponding to the task execution image information output by the task inspection model, wherein the task inspection model is used to determine whether the task execution image information meets preset requirements based on the task execution image information.

[0006] According to a production quality inspection processing method provided by the present invention, after obtaining the inspection result corresponding to the task execution image information output by the task inspection model, the method also includes: when the inspection result is that the task execution image information does not meet the preset requirements, initiating rectification information to enable the inspection task executor to rectify the task to be inspected and obtain the task to be inspected after rectification; within the preset time period after initiating the rectification information, the task to be inspected after rectification is re-inspected as the task to be inspected until the obtained task execution image information meets the preset requirements.

[0007] According to a production quality inspection and processing method provided by the present invention, after the task to be inspected after rectification is re-inspected as the task to be inspected until the obtained task execution image information meets the preset requirements, the method also includes: recording the inspection execution record of the task to be inspected, and the inspection result of the task to be inspected; reporting the inspection execution record and the inspection result to a designated port.

[0008] According to a production quality inspection processing method provided by the present invention, after obtaining the inspection result corresponding to the task execution image information output by the task inspection model, the method also includes: when the inspection result is that the task execution image information meets the preset requirements, recording the inspection execution record of the task to be inspected and the inspection result of the task to be inspected; reporting the inspection execution record and the inspection result to a designated port.

[0009] According to a production quality inspection processing method provided by the present invention, before constructing an inspection task work order by calling a target inspection strategy that matches the target product business type according to the target product business type of the task to be inspected, the method also includes: maintaining a first mapping table, wherein the first mapping table includes a mapping relationship between different product business types and different inspection strategies; constructing an inspection task work order by calling a target inspection strategy that matches the target product business type according to the target product business type of the task to be inspected, specifically including: determining a target inspection strategy that matches the target product business type according to the target product business type and the first mapping table; and constructing the inspection task work order according to the target inspection strategy.

[0010] According to a production quality inspection processing method provided by the present invention, the inspection task work order includes at least inspection points; the task execution image information of the task to be inspected is collected according to the inspection task work order, specifically including: determining the actual inspection points according to the inspection points included in the inspection task work order; re-verifying the actual inspection points to match the actual inspection points with the inspection points; and collecting the task execution image information of the task to be inspected at the actual inspection points.

[0011] According to a production quality inspection processing method provided by the present invention, the inspection task work order includes at least the inspection frequency; the task execution image information of the task to be inspected is collected according to the inspection task work order, specifically including: collecting the task execution image information of the task to be inspected according to the inspection frequency included in the inspection task work order.

[0012] The present invention also provides a production quality inspection and processing device, which includes: an acquisition module for acquiring task information of the task to be inspected, wherein the task information includes the target product business type of the task to be inspected; a calling module for calling a target inspection strategy that matches the target product business type according to the target product business type of the task to be inspected to construct an inspection task work order; a collection module for collecting task execution image information of the task to be inspected according to the inspection task work order; a generation module for inputting the task execution image information into a pre-trained task inspection model to obtain an inspection result corresponding to the task execution image information output by the task inspection model, wherein the task inspection model is used to determine whether the task execution image information meets preset requirements based on the task execution image information.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the production quality inspection processing method as described above is implemented.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described production quality inspection processing methods.

[0015] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the production quality inspection processing method as described above is implemented.

[0016] The production quality inspection processing method, device, electronic device and storage medium provided by the present invention obtain task information of the task to be inspected, wherein the task information includes the target product business type of the task to be inspected; according to the target product business type of the task to be inspected, the target inspection strategy matching the target product business type is called to construct an inspection task work order; according to the inspection task work order, the task execution image information of the task to be inspected is collected; the task execution image information is input into a pre-trained task inspection model, and the inspection result corresponding to the task execution image information is obtained by the task inspection model output, thereby realizing automatic inspection, reducing labor costs, improving the accuracy of quality inspection results, and reducing the influence of human subjective factors. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 This is one of the flow charts of the production quality inspection processing method provided by the present invention;

[0019] Figure 2 This is the second flow chart of the production quality inspection processing method provided by the present invention;

[0020] Figure 3 This is a schematic diagram of an application scenario of the production quality inspection processing method provided by the present invention;

[0021] Figure 4 It is a structural schematic diagram of the production quality inspection processing device provided by the present invention;

[0022] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0023] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0024] The production quality inspection processing method provided by the present invention can be applied to a milk and dairy product production workshop. It is understandable that the application scenario corresponding to the following embodiments can be a milk and dairy product production workshop.

[0025] Figure 1 This is one of the flow charts of the production quality inspection processing method provided by the present invention.

[0026] The following will be combined Figure 1 The production quality inspection processing method provided by the present invention is described.

[0027] In an exemplary embodiment of the present invention, Figure 1 It can be seen that the production quality inspection processing method may include steps 110 to 140, and each step will be introduced below.

[0028] In step 110 , task information of the task to be inspected is obtained, wherein the task information includes the target product business type of the task to be inspected.

[0029] In step 120 , based on the target product business type of the task to be inspected, a target inspection strategy that matches the target product business type is called to construct an inspection task work order.

[0030] In one embodiment, task information of the task to be inspected may be obtained, wherein the task information may include the target product business type of the task to be inspected.

[0031] It should be noted that the inspection task work orders created will be different depending on the target product business type. This means that the inspection task items required for different target product business types will also be different.

[0032] In another embodiment, based on the target product business type of the task to be inspected, the target inspection strategy that matches the target product business type can be called to construct an inspection task work order, so that the obtained inspection task work order is more personalized to match the corresponding task to be inspected, thereby improving the accuracy and rationality of automatic inspection of the task to be inspected.

[0033] In step 130 , task execution image information of the task to be inspected is collected according to the inspection task work order.

[0034] In step 140, the task execution image information is input into a pre-trained task inspection model to obtain an inspection result corresponding to the task execution image information output by the task inspection model, wherein the task inspection model is used to determine whether the task execution image information meets the preset requirements based on the task execution image information.

[0035] In one embodiment, task execution image information of the task to be inspected can be collected according to the inspection task work order. Inspection results can be obtained based on the task execution image information of the task to be inspected. During application, to improve the accuracy and speed of obtaining inspection results based on the task execution image information, a task inspection model can be pre-trained. The task inspection model can be used to determine whether the task execution image information meets preset requirements based on the task execution image information.

[0036] In another embodiment, an image acquisition device may be installed in a dairy product production workshop to capture task execution image information for tasks to be inspected. In another example, different image acquisition devices may be associated with different types of inspection tasks, allowing for more targeted use of the image acquisition device to capture task execution image information.

[0037] In another embodiment, task execution image information can be input into a pre-trained task inspection model, directly outputting inspection results corresponding to the task execution image information. During application, users can use the inspection results to determine the execution status of the task to be inspected. This enables automated inspections, reduces labor costs, improves the accuracy of quality inspection results, and reduces the influence of human subjective factors.

[0038] The production quality inspection processing method provided by the present invention obtains task information of the task to be inspected, wherein the task information includes the target product business type of the task to be inspected; according to the target product business type of the task to be inspected, calls the target inspection strategy that matches the target product business type to construct an inspection task work order; according to the inspection task work order, collects task execution image information of the task to be inspected; inputs the task execution image information into a pre-trained task inspection model, and obtains the inspection result corresponding to the task execution image information output by the task inspection model, thereby realizing automatic inspection, reducing labor costs, improving the accuracy of quality inspection results, and reducing the influence of human subjective factors.

[0039] Figure 2 This is the second flow chart of the production quality inspection processing method provided by the present invention.

[0040] The following will be combined Figure 2 Another production quality inspection processing method is described.

[0041] In another exemplary embodiment of the present invention, the production quality inspection processing method may include steps 210 to 260, wherein steps 210 to 240 are respectively the same as or similar to steps 110 to 140 described above. The specific implementation methods and beneficial effects thereof are described above and are not specifically limited in this embodiment. Steps 250 and 260 will be described below respectively:

[0042] In step 250, if the inspection result shows that the task execution image information does not meet the preset requirements, a rectification message is initiated to enable the inspection task executor to rectify the inspection task and obtain the inspection task to be rectified;

[0043] In step 260 , within a preset time period after the rectification information is initiated, the task to be inspected after rectification is treated as a task to be inspected and inspected again until the obtained task execution image information meets the preset requirements.

[0044] In one embodiment, when it is monitored that the inspection result is that the task execution image information does not meet the preset requirements, it means that there is an error in the operation steps of the task to be inspected. Rectification information can be sent to the executor of the task to be inspected, so that the executor can rectify the task to be inspected and obtain the task to be inspected after rectification.

[0045] Furthermore, within the preset time period after initiating the rectification information, the task to be inspected after the executor's rectification, that is, the task to be inspected after rectification, can be inspected again. During the application process, the task to be inspected after rectification can be inspected again as the task to be inspected until the obtained task execution image information meets the preset requirements. Otherwise, the rectification information is initiated to the executor of the task to be inspected again, so that the executor can rectify the task to be inspected to obtain the task to be inspected after rectification, and inspect again until the obtained task execution image information meets the preset requirements. Through this embodiment, in the case that the task to be inspected fails the first inspection, the rectification information is automatically initiated, and the task to be inspected is rectified and inspected again in a closed-loop supervision manner until the obtained task execution image information meets the preset requirements, thereby realizing automatic closed-loop supervision of the task to be inspected.

[0046] Among them, the preset requirements and the subsequent preset duration can be determined according to actual conditions and are not specifically limited in this embodiment.

[0047] In another exemplary embodiment of the present invention, the above-described embodiment is continued as an example for explanation. After the rectified pending inspection task is re-inspected as a pending inspection task until the obtained task execution image information meets the preset requirements (corresponding to step 260), the production quality inspection processing method may further include the following steps:

[0048] Record the inspection execution records of the tasks to be inspected and the inspection results of the tasks to be inspected;

[0049] Report inspection execution records and inspection results to the designated port.

[0050] In one embodiment, after the executor completes the rectification of the pending inspection task, the inspection execution record of the pending inspection task and the inspection results of the pending inspection task can be recorded in real time. The inspection execution record can be the time of the inspection, and the inspection results include the results obtained from each inspection of the pending inspection task.

[0051] Furthermore, the inspection execution records and inspection results can be reported to a designated port. The designated port can be adjusted according to actual conditions. For example, it can be an instant messaging office software used by the user, and the inspection execution records and inspection results can be pushed to the user end of the instant messaging office software in the form of logs.

[0052] In another exemplary embodiment of the present invention, continuing with the above-described embodiment as an example, after obtaining the inspection result corresponding to the task execution image information output by the task inspection model (corresponding to step 140), the production quality inspection processing method may further include the following steps:

[0053] When the inspection result shows that the task execution image information meets the preset requirements, the inspection execution record of the task to be inspected and the inspection result of the task to be inspected are recorded;

[0054] Report inspection execution records and inspection results to the designated port.

[0055] In one embodiment, if the inspection result indicates that the task execution image information meets preset requirements, that is, if the operator's operation steps meet the requirements, the inspection execution record of the task to be inspected and the inspection results of the task to be inspected can also be recorded in real time. The inspection execution record can be the time of the inspection, and the inspection results include the results obtained from each inspection of the task to be inspected.

[0056] Furthermore, the inspection execution records and inspection results can be reported to a designated port. The designated port can be adjusted according to actual conditions. For example, it can be an instant messaging office software used by the user, and the inspection execution records and inspection results can be pushed to the user end of the instant messaging office software in the form of logs.

[0057] In another exemplary embodiment of the present invention, the above-described embodiment is continued as an example for explanation. Before invoking a target inspection strategy matching the target product business type to construct an inspection task work order (corresponding to step 120), the production quality inspection processing method further includes the following steps:

[0058] Maintaining a first mapping table, wherein the first mapping table includes mapping relationships between different product service types and different inspection strategies;

[0059] Among them, according to the target product business type of the inspection task, the target inspection strategy that matches the target product business type is called to build the inspection task work order, which can be achieved in the following ways:

[0060] Determine a target inspection strategy that matches the target product business type according to the target product business type and the first mapping table;

[0061] Construct inspection task work orders according to the target inspection strategy.

[0062] In one embodiment, a first mapping table may be maintained in advance, wherein the first mapping table may include mapping relationships between different product service types and different inspection strategies, for example, product service type A corresponds to inspection strategy a, and product service type B corresponds to inspection strategy b.

[0063] Furthermore, a target inspection strategy that matches the target product business type can be determined based on the target product business type and the first mapping table. For example, if the target product business type is product business type B, the determined target inspection strategy can be Inspection Strategy B. Furthermore, an inspection task work order can be constructed based on the target inspection strategy. The target inspection strategy can include information such as the work order generation time, execution frequency, executor, executed inspection template, and inspection points.

[0064] In another exemplary embodiment of the present invention, the inspection task worksheet may include at least the inspection points. Further, according to the inspection task worksheet, the task execution image information of the task to be inspected is collected, which can be achieved in the following manner:

[0065] Determine the actual inspection points according to the inspection points included in the inspection task work order;

[0066] Re-verify the actual inspection points to ensure that the actual inspection points match the inspection points;

[0067] Collect task execution image information of the tasks to be inspected at the actual inspection points.

[0068] In one embodiment, since the inspection task worksheet includes information about the inspection points, during the inspection process, the task to be inspected at the inspection point can be automatically located, and the corresponding task execution image information can be collected.

[0069] Furthermore, to ensure the accuracy of the located inspection points, the actual inspection points can be determined according to the inspection points included in the inspection task worksheet, and the actual inspection points can be re-verified to ensure that the actual inspection points match the inspection points. In one example, when it is verified that the actual inspection points do not match the inspection points in the inspection task worksheet, an alarm can be issued and the actual inspection points can be adjusted to ensure that the adjusted actual inspection points match the inspection points in the inspection task worksheet. During the application process, the adjusted actual inspection points can be used as the actual inspection points in the step of collecting task execution image information for the task to be inspected.

[0070] In another embodiment, task execution image information of the task to be inspected may also be collected at the actual inspection point, thereby ensuring that the collected task execution image information can better meet the inspection requirements and facilitate obtaining the inspection results.

[0071] In another embodiment, the actual inspection point is re-verified by comparing the unique identifier in the actual inspection point with the unique identifier of the inspection point in the inspection task work order. If the two match or are the same, the actual inspection point is considered to match the inspection point. The actual inspection point is re-verified by scanning the exclusive QR code in the actual inspection point, wherein the point information of the actual inspection point can be obtained after scanning the exclusive QR code. When the point information of the actual inspection point is matched or the same as the point information of the inspection point in the inspection task work order, the actual inspection point is considered to match the inspection point. In this embodiment, the process of re-verifying the actual inspection point is not specifically limited, and it can be adjusted according to actual conditions.

[0072] In one embodiment, since the inspection task worksheet includes information on inspection points, during the inspection process, the task to be inspected at the inspection point is automatically located, and the corresponding task execution image information is collected, thereby ensuring that the collected task execution image information can better meet the inspection requirements and facilitate obtaining the inspection results, that is, the task execution image information of the task to be inspected corresponding to the inspection point is collected according to the inspection point included in the inspection task worksheet.

[0073] In another exemplary embodiment of the present invention, the inspection task worksheet may include at least the inspection frequency. Further, according to the inspection task worksheet, the task execution image information of the task to be inspected is collected, which can be achieved in the following manner:

[0074] According to the inspection frequency included in the inspection task work order, task execution image information of the task to be inspected is collected.

[0075] In one embodiment, different inspection frequencies required for different tasks to be inspected are different. In order to obtain accurate and reasonable inspection results, the task execution image information of the task to be inspected can be collected according to the inspection frequency included in the inspection task work order, thereby ensuring the rationality and accuracy of the inspection results obtained based on the task execution image information.

[0076] Figure 3 It is a schematic diagram of an application scenario of the production quality inspection processing method provided by the present invention.

[0077] In order to further introduce the production quality inspection processing method provided by the present invention, the following Figure 3 Provide explanation.

[0078] In one embodiment, combining Figure 3It can be seen that inspection templates can be pre-defined, wherein the inspection templates can pre-define daily inspection items, inspection standards, inspection requirements, judgment standards, inspection points, etc., to form daily inspection templates, thereby laying the foundation for constructing inspection task work orders for tasks to be inspected.

[0079] Furthermore, inspection strategies can be maintained. Because inspection tasks for different product and service types correspond to different inspection strategies, a first mapping table can be pre-maintained. The first mapping table includes mappings between different product and service types and different inspection strategies. Furthermore, based on the target product and service type and the first mapping table, a target inspection strategy that matches the target product and service type can be determined, and an inspection task work order can be constructed based on the target inspection strategy, thereby automatically generating an inspection work order.

[0080] In another embodiment, when an inspection work order needs to be constructed urgently, an inspection work order can be directly created manually and the corresponding inspection task can be executed.

[0081] After the inspection work order is automatically generated, you can check the execution progress and status of the work order, and lay the foundation for subsequent statistical analysis based on the execution progress and status of the work order.

[0082] During the application process, after the inspection work order is automatically generated, the inspection task can be executed. During the inspection task execution process, the task execution image information of the inspection task can be collected online through the APP client and the task execution image information can be submitted.

[0083] If it is not possible to collect the task execution image information of the task to be inspected online through the APP client, the collected task execution image information of the task to be inspected can also be submitted through the Web client.

[0084] In another embodiment, based on the task execution image information of the task to be inspected, an inspection result corresponding to the task execution image information output by the task inspection model can be obtained to determine whether the task to be inspected requires rectification. If the task to be inspected requires rectification, unqualified information can be pushed so that the executor can make offline rectifications based on the pushed rectification information, determine the rectification status, and submit the rectification information for re-inspection of the rectified task to be inspected as the task to be inspected.

[0085] In another embodiment, when the inspection task does not need to be rectified, the inspection execution record can be stored, and a daily report can be generated based on the inspection execution record and pushed.

[0086] In another embodiment, the inspection execution records may be queried to perform corresponding statistical analysis based on the inspection execution records.

[0087] As can be seen from the preceding examples, the quality inspection task system is triggered by fixed rules. The system then triggers quality inspection tasks and manages the task process within the system. This creates an automated closed-loop management system from task triggering, task push, task execution, and result feedback. This reduces the number of quality inspection personnel, improves the quality monitoring capabilities of production operators, and unifies quality monitoring standards.

[0088] According to the above description, the production quality inspection processing method provided by the present invention obtains the task information of the task to be inspected, wherein the task information includes the target product business type of the task to be inspected; according to the target product business type of the task to be inspected, the target inspection strategy matching the target product business type is called to construct an inspection task work order; according to the inspection task work order, the task execution image information of the task to be inspected is collected; the task execution image information is input into the pre-trained task inspection model to obtain the inspection result corresponding to the task execution image information output by the task inspection model, thereby realizing automatic inspection, reducing labor costs, improving the accuracy of quality inspection results, and reducing the influence of human subjective factors.

[0089] Based on the same concept, the present invention also provides a production quality inspection and processing device.

[0090] The production quality inspection processing device provided by the present invention is described below. The production quality inspection processing device described below and the production quality inspection processing method described above can be referenced to each other.

[0091] Figure 4 It is a structural schematic diagram of the production quality inspection and processing device provided by the present invention.

[0092] In an exemplary embodiment of the present invention, Figure 4 It can be seen that the production quality inspection processing device can include an acquisition module 410, a calling module 420, a collection module 430, and a generation module 440. Each module will be introduced below.

[0093] The acquisition module 410 may be configured to acquire task information of the task to be inspected, wherein the task information includes a target product business type of the task to be inspected;

[0094] The calling module 420 may be configured to call a target inspection strategy that matches the target product business type to construct an inspection task work order according to the target product business type of the inspection task to be inspected;

[0095] The acquisition module 430 may be configured to acquire task execution image information of the task to be inspected according to the inspection task work order;

[0096] The generation module 440 can be configured to input the task execution image information into a pre-trained task inspection model to obtain an inspection result output by the task inspection model corresponding to the task execution image information, wherein the task inspection model is used to determine whether the task execution image information meets preset requirements based on the task execution image information.

[0097] In an exemplary embodiment of the present invention, the generating module 440 may also be configured to:

[0098] In the case where the inspection result shows that the task execution image information does not meet the preset requirements, a rectification message is initiated to enable the inspection task executor to rectify the task to be inspected and obtain the task to be inspected after rectification;

[0099] Within a preset time period after initiating the rectification information, the task to be inspected after rectification is taken as the task to be inspected and inspected again until the obtained task execution image information meets the preset requirements.

[0100] In an exemplary embodiment of the present invention, the generating module 440 may also be configured to:

[0101] Record the inspection execution records of the tasks to be inspected and the inspection results of the tasks to be inspected;

[0102] Report the inspection execution record and the inspection result to a designated port.

[0103] In an exemplary embodiment of the present invention, the generating module 440 may also be configured to:

[0104] If the inspection result shows that the task execution image information meets the preset requirements, record the inspection execution record of the task to be inspected and the inspection result of the task to be inspected;

[0105] Report the inspection execution record and the inspection result to a designated port.

[0106] In an exemplary embodiment of the present invention, the calling module 420 may also be configured to:

[0107] Maintaining a first mapping table, wherein the first mapping table includes mapping relationships between different product service types and different inspection strategies;

[0108] The calling module 420 can use the following methods to implement, based on the target product business type of the inspection task, calling the target inspection strategy that matches the target product business type to construct the inspection task work order:

[0109] Determining a target inspection strategy that matches the target product business type according to the target product business type and the first mapping table;

[0110] Construct the inspection task work order according to the target inspection strategy.

[0111] In an exemplary embodiment of the present invention, the inspection task worksheet includes at least inspection points; the acquisition module 430 acquires the task execution image information of the task to be inspected according to the inspection task worksheet in the following manner:

[0112] Determine the actual inspection points according to the inspection points included in the inspection task work order;

[0113] Re-verifying the actual inspection points to ensure that the actual inspection points match the inspection points;

[0114] The task execution image information of the task to be inspected is collected at the actual inspection point.

[0115] In an exemplary embodiment of the present invention, the inspection task worksheet includes at least the inspection frequency; the acquisition module 430 acquires the task execution image information of the task to be inspected according to the inspection task worksheet in the following manner:

[0116] According to the inspection frequency included in the inspection task work order, task execution image information of the task to be inspected is collected.

[0117] Figure 5 An example of a physical structure diagram of an electronic device is shown below. Figure 5As shown, the electronic device may include: a processor 510, a communication interface 520, a memory 530, and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other via the communication bus 540. The processor 510 may call the logic instructions in the memory 530 to execute a production quality inspection processing method, which includes: obtaining task information of a task to be inspected, wherein the task information includes the target product business type of the task to be inspected; based on the target product business type of the task to be inspected, calling a target inspection strategy that matches the target product business type to construct an inspection task work order; collecting task execution image information of the task to be inspected according to the inspection task work order; inputting the task execution image information into a pre-trained task inspection model to obtain an inspection result corresponding to the task execution image information output by the task inspection model, wherein the task inspection model is used to determine whether the task execution image information meets preset requirements based on the task execution image information.

[0118] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0119] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the production quality inspection processing method provided by the above methods, the method including: obtaining task information of the task to be inspected, wherein the task information includes the target product business type of the task to be inspected; according to the target product business type of the task to be inspected, calling the target inspection strategy matching the target product business type to construct an inspection task work order; according to the inspection task work order, collecting the task execution image information of the task to be inspected; inputting the task execution image information into a pre-trained task inspection model to obtain the inspection result corresponding to the task execution image information output by the task inspection model, wherein the task inspection model is used to judge whether the task execution image information meets the preset requirements based on the task execution image information.

[0120] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the production quality inspection processing method provided by the above-mentioned methods, the method comprising: obtaining task information of the task to be inspected, wherein the task information includes the target product business type of the task to be inspected; based on the target product business type of the task to be inspected, calling a target inspection strategy matching the target product business type to construct an inspection task work order; according to the inspection task work order, collecting task execution image information of the task to be inspected; inputting the task execution image information into a pre-trained task inspection model to obtain an inspection result corresponding to the task execution image information output by the task inspection model, wherein the task inspection model is used to determine whether the task execution image information meets preset requirements based on the task execution image information.

[0121] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0122] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0123] It should be further understood that, although operations are described in a particular order in the accompanying drawings in the embodiments of the present invention, this should not be construed as requiring that the operations be performed in the particular order shown or in a serial order, or that all of the operations shown be performed to obtain the desired results. In certain circumstances, multitasking and parallel processing may be advantageous.

[0124] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. 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 various embodiments of the present invention.

Claims

1. A production quality inspection processing method, characterized in that: The method comprises: Acquire task information of the task to be inspected, wherein the task information includes the target product business type of the task to be inspected; According to the target product business type of the inspection task, call the target inspection strategy that matches the target product business type to build an inspection task work order; According to the inspection task work order, collecting task execution image information of the task to be inspected; The task execution image information is input into a pre-trained task inspection model to obtain an inspection result output by the task inspection model corresponding to the task execution image information, wherein the task inspection model is used to determine whether the task execution image information meets preset requirements based on the task execution image information.

2. The production quality inspection processing method according to claim 1, characterized in that: After obtaining the inspection result output by the task inspection model and corresponding to the task execution image information, the method further includes: In the case where the inspection result shows that the task execution image information does not meet the preset requirements, a rectification message is initiated to enable the inspection task executor to rectify the task to be inspected and obtain the task to be inspected after rectification; Within a preset time period after initiating the rectification information, the task to be inspected after rectification is taken as the task to be inspected and inspected again until the obtained task execution image information meets the preset requirements.

3. The production quality inspection processing method according to claim 2, characterized in that: After the task to be inspected after rectification is re-inspected as the task to be inspected until the obtained task execution image information meets the preset requirements, the method further includes: Record the inspection execution records of the tasks to be inspected and the inspection results of the tasks to be inspected; Report the inspection execution record and the inspection result to a designated port.

4. The production quality inspection processing method according to claim 1, characterized in that: After obtaining the inspection result output by the task inspection model and corresponding to the task execution image information, the method further includes: If the inspection result shows that the task execution image information meets the preset requirements, record the inspection execution record of the task to be inspected and the inspection result of the task to be inspected; Report the inspection execution record and the inspection result to a designated port.

5. The production quality inspection processing method according to claim 1, characterized in that: Before constructing an inspection task work order by calling a target inspection strategy that matches the target product business type according to the target product business type of the inspection task, the method further includes: Maintaining a first mapping table, wherein the first mapping table includes mapping relationships between different product service types and different inspection strategies; The step of constructing an inspection task work order by calling a target inspection strategy that matches the target product business type according to the target product business type of the inspection task specifically includes: Determining a target inspection strategy that matches the target product business type according to the target product business type and the first mapping table; Construct the inspection task work order according to the target inspection strategy.

6. The production quality inspection processing method according to claim 1, characterized in that: The inspection task worksheet includes at least an inspection point; and collecting the task execution image information of the task to be inspected according to the inspection task worksheet specifically includes: Determine the actual inspection points according to the inspection points included in the inspection task work order; Re-verifying the actual inspection points to ensure that the actual inspection points match the inspection points; The task execution image information of the task to be inspected is collected at the actual inspection point.

7. The production quality inspection processing method according to claim 1, characterized in that: The inspection task work order at least includes the inspection frequency; The collecting of the task execution image information of the task to be inspected according to the inspection task work order specifically includes: According to the inspection frequency included in the inspection task work order, task execution image information of the task to be inspected is collected.

8. A production quality inspection and processing device, characterized in that: The device comprises: An acquisition module, configured to acquire task information of a task to be inspected, wherein the task information includes a target product business type of the task to be inspected; A calling module is used to call a target inspection strategy that matches the target product business type according to the target product business type of the inspection task to be inspected to construct an inspection task work order; A collection module, used for collecting task execution image information of the task to be inspected according to the inspection task work order; A generation module is used to input the task execution image information into a pre-trained task inspection model to obtain an inspection result output by the task inspection model corresponding to the task execution image information, wherein the task inspection model is used to determine whether the task execution image information meets preset requirements based on the task execution image information.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the production quality inspection processing method according to any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the production quality inspection processing method according to any one of claims 1 to 7 is implemented.