CN114066148A - Automatic quality inspection method and device for flexible production line - Google Patents
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Abstract
The embodiment of the application discloses an automatic quality inspection method and device for a flexible production line. According to the technical scheme provided by the embodiment of the application, the personalized order uploaded by the client is received, and the personalized order comprises corresponding product image information; when each process flow of the personalized order is executed, any process flow is detected according to a preset process quality inspection process, and a corresponding detection result is output; and comparing the product image information based on the finished product image of the order product to generate a corresponding comparison result, storing the detection result and the comparison result as a quality inspection report, and returning the quality inspection report to the corresponding client. By adopting the technical means, the quality detection of the product from production to finished product can be realized, the product quality of the personalized product is ensured, and the automatic production effect of the product is optimized.
Description
Technical Field
The embodiment of the application relates to the technical field of automatic control, in particular to an automatic quality inspection method and device for a flexible production line.
Background
Currently, automatic production lines are commonly used in industrial production. When the automatic production line executes production operation, according to a preset production process flow, the operations of warehouse-out, loading, processing and the like of materials can be automatically completed, so that the production efficiency of the production line can be improved, and the standardization degree of the production line is improved.
However, the traditional automatic production line does not perform process detection on the product processing flow, the whole processing process needs manual inspection, the product quality inspection efficiency is low, and particularly for personalized products, the cost consumed by manual inspection is higher.
Disclosure of Invention
The embodiment of the application provides an automatic quality inspection method and device for a flexible production line, which can realize quality inspection of products from production to finished products, guarantee the product quality of personalized products and optimize the automatic production effect of the products.
In a first aspect, an embodiment of the present application provides an automated quality inspection method for a flexible production line, including:
receiving a personalized order uploaded by a client, wherein the personalized order comprises corresponding product image information;
when each process flow of the personalized order is executed, detecting any one process flow according to a preset process quality inspection process, and outputting a corresponding detection result;
judging whether the corresponding process flows are wrong or not based on the detection result, re-executing the personalized order or re-executing the corresponding process flows when any one process flow is determined to be wrong, and continuously executing the next process flow when the current process flow is determined to be correct until all the process flows of the personalized order are completed, so as to generate corresponding order products;
and comparing the product image information based on the finished product image of the order product to generate a corresponding comparison result, storing the detection result and the comparison result as a quality inspection report, and returning the quality inspection report to the corresponding client.
Further, the detecting any one of the process flows according to a preset process quality inspection flow and outputting a corresponding detection result includes:
extracting a quality inspection index image preset corresponding to each process flow in the process quality inspection flows;
and comparing the quality inspection index images with the corresponding process result images of the process flow one by one, determining the corresponding detection result of the process flow and outputting the detection result.
Further, after storing the detection result and the comparison result as a quality inspection report, the method further comprises:
and judging whether the order product is qualified or not based on the quality inspection report, if so, completing the production flow of the order product, and if not, re-executing the personalized order.
Further, after completing the production flow of the ordered product, the method further comprises the following steps:
and automatically generating the logistics order of the order product based on the logistics information of the current personalized order.
Further, after receiving the personalized order uploaded by the client, the method further comprises the following steps:
and automatically arranging the orders of the personalized orders to generate an order queue, and sequentially extracting and executing the corresponding personalized orders from the order queue.
Further, the automatically arranging the individual orders to generate an order queue includes:
and sequencing each personalized order according to the order placing time of each personalized order to generate a corresponding order queue.
Further, after the sorting each personalized order according to the order placing time of each personalized order and generating a corresponding order queue, the method further includes:
and adjusting the sequence of the corresponding personalized orders in the order queue according to order batch and/or user priority.
In a second aspect, an embodiment of the present application provides an automated quality inspection apparatus for a flexible production line, including:
the receiving module is used for receiving the personalized order uploaded by the client, and the personalized order comprises corresponding product image information;
the detection module is used for detecting any one of the process flows according to a preset process quality inspection flow and outputting a corresponding detection result when each process flow of the personalized order is executed; judging whether the corresponding process flows are wrong or not based on the detection result, re-executing the personalized order or re-executing the corresponding process flows when any one process flow is determined to be wrong, and continuously executing the next process flow when the current process flow is determined to be correct until all the process flows of the personalized order are completed, so as to generate corresponding order products;
and the report module is used for comparing the product image information based on the finished product image of the order product to generate a corresponding comparison result, storing the detection result and the comparison result as a quality inspection report, and returning the quality inspection report to the corresponding client.
In a third aspect, an embodiment of the present application provides an electronic device, including:
a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the automated quality inspection method for a flexible production line according to the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions for performing the method for automated quality inspection of a flexible production line according to the first aspect when executed by a computer processor.
According to the method and the device, the personalized orders uploaded by the client side are received, and the personalized orders comprise corresponding product image information; when each process flow of the personalized order is executed, any process flow is detected according to a preset process quality inspection process, and a corresponding detection result is output; judging whether the corresponding process flows are wrong or not based on the detection result, re-executing the personalized order or re-executing the corresponding process flows when any process flow is determined to be wrong, and continuously executing the next process flow when the current process flow is determined to be correct until all process flows of the personalized order are completed, so as to generate corresponding order products; and comparing the product image information based on the finished product image of the order product to generate a corresponding comparison result, storing the detection result and the comparison result as a quality inspection report, and returning the quality inspection report to the corresponding client. By adopting the technical means, the quality detection of the product from production to finished product can be realized, the product quality of the personalized product is ensured, and the automatic production effect of the product is optimized.
Drawings
FIG. 1 is a flow chart of an automated quality inspection method for a flexible production line according to an embodiment of the present disclosure;
FIG. 2 is a flowchart of detection result output in the embodiment of the present application;
fig. 3 is a schematic structural diagram of an automated quality inspection apparatus of a flexible production line according to a second embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device according to a third embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The first embodiment is as follows:
fig. 1 is a flowchart of an automated quality inspection method for a flexible production line according to an embodiment of the present disclosure, where the automated quality inspection method for a flexible production line provided in this embodiment may be performed by an automated quality inspection device for a flexible production line, the automated quality inspection device for a flexible production line may be implemented in a software and/or hardware manner, and the automated quality inspection device for a flexible production line may be formed by two or more physical entities or may be formed by one physical entity. Generally, the automatic quality inspection equipment of the flexible production line can be processing equipment such as control equipment of the flexible production line.
The following description will be made by taking an automated quality inspection apparatus of a flexible production line as an example of a main body for performing an automated quality inspection method of a flexible production line. Referring to fig. 1, the automated quality inspection method of the flexible production line specifically includes:
s110, receiving a personalized order uploaded by a client, wherein the personalized order comprises corresponding product image information.
Specifically, the flexible production line of the embodiment of the application carries out automatic production of ordered products based on the personalized orders of the users. The flexible production line remotely collects the personalized orders which are placed in real time by the user, so that production operation is carried out through the order information of the personalized orders. The personalized order comprises logistics information and product image information of a user, wherein the logistics information is used for logistics processing operation on the ordered product after the ordered product is generated based on the personalized order. The product image information includes a job image of the ordered product (e.g., an image engraved on the ordered product), and a finished product effect image of the ordered product. The operation image and the finished product effect image are used for quality inspection comparison of subsequent order products, and the crop image is also used for performing personalized production operation of the order products as a personalized processing flow processing basis of the current personalized order in the automated production process of the order products. It is understood that the job image is the basis for the personalized production of the ordered product, such as the image engraving of the surface of the product shell according to the job image. The finished product effect image is in an overall standard form after the order product is produced. And comprehensively judging whether the order product is qualified or not through the operation image and the finished product effect image.
In the operation process of the flexible production line, the personalized order of the user is received by providing an order platform for the user to place the order. And the flexible production line automatically determines a corresponding finished product effect image prestored in the order product of the type according to the corresponding operation image according to the individual requirements of the user on the order product. And obtaining product image information based on the operation image and the finished product effect image, so that the operation image of the product image information is engraved on the order product in the subsequent product processing process, and the personalized processing operation of the order product is realized. And performing subsequent order product quality inspection work through the product image information.
Optionally, during the personalized ordering process, a plurality of preset job images are provided for the user to select, and the personalized order of the current user is generated based on the preset job image selection operation data uploaded by the user. It can be understood that, in order to provide various personalized order placing options, in the embodiment of the present application, besides generating a personalized order according to the job image uploaded by the user, various different types of job images can be preset for the user to select, so as to enrich the personalized order generation modes of the user.
In one embodiment, a set number of preset job images with the highest frequency of use are provided for selection by a user, also according to the historical frequency of use of the preset job images. According to the preset job image used by the historical personalized order information, the preset job image with high historical use frequency is recommended intelligently, and the ordering experience of the user can be further optimized.
Further, based on the received personalized orders placed by the clients, the embodiment of the application first performs automatic ordering operation on the personalized orders. And automatically arranging the orders of the personalized orders to generate an order queue, and sequentially extracting and executing the corresponding personalized orders from the order queue. It can be understood that the order queue is generated by aligning and sequencing corresponding to a large amount of personalized orders uploaded by a plurality of clients in a short time, so that the subsequent flexible production line can conveniently process order products one by one according to the order queue. Generally speaking, the flexible production line will sequence each of the personalized orders according to the order placing time of each of the personalized orders, and generate a corresponding order queue. When a user places an order of a personalized order through a client, a timestamp for confirming the order by the user is recorded, and the timestamp is bound with the personalized order so as to be used for subsequently placing the personalized order into an order queue according to the order placing timestamp of the personalized order. It can be understood that, generally speaking, the earlier the timestamp is in the order queue, so that the personalized orders can be sequentially processed according to the order placing time, and the influence on the user experience caused by the untimely order production can be avoided.
Optionally, in an embodiment, the automated production equipment of the flexible production line further adjusts the order of the corresponding personalized orders in the order queue according to order batch and/or user priority. It can be understood that if a certain user has a lot of orders currently placed, the order in the order queue can be adaptively adjusted in order to process the large-lot orders in time. In addition, for some v ip users, customers with urgent order deadline requirements can set corresponding user priorities, and order queues are adjusted based on the user priorities.
In one embodiment, the automated production equipment of the flexible production line further determines at least two personalized orders with the same logistics information by traversing the order queue, and adjusts the at least two personalized orders to adjacent positions. It can be understood that for a plurality of personalized orders placed by a user at different times, in order to facilitate distribution of subsequent orders, two orders can be adjusted to adjacent positions in an order queue, so that the flexible production line continuously processes a plurality of personalized orders with the same logistics information, and uniform logistics distribution is performed based on a plurality of personalized orders from the same user. Therefore, the order production and distribution efficiency of the corresponding user can be improved, and the order placing experience of the user is optimized.
Further, based on the order queue, when the flexible production line carries out order production, the individual orders are extracted one by one according to the arrangement sequence of the individual orders in the order queue to carry out order production operation. In the production operation process of the current personalized order, the flexible production line firstly completes the automatic feeding of the current personalized order based on a preset process flow, wherein the automatic feeding process of the personalized order comprises the following steps:
s1101, extracting a feeding process of the personalized order from a preset process flow;
s1102, executing the feeding process of the personalized order based on the material information, the feeding route and the feeding operation control information of the feeding process.
It is understood that the flexible production line performs automatic feeding of the current personalized order by pre-setting the assembly robot. According to the current personalized order, the assembly robot extracts each process flow preset by the type of the order product according to the order product to be produced by the current personalized order. All the operation flows of the order product in the whole production process are recorded in all the process flows, including the material loading flow, the assembly flow, the carving flow and the like. Based on the process flow, the assembly robot firstly extracts the feeding flow in the process flow so as to extract the relevant materials for producing the order product according to the feeding flow to an assembly table of the flexible production line for order product assembly. In order to facilitate feeding, the flexible production line is preset with storage warehouses for various types of materials. Each type of material is placed in a corresponding location of the storage warehouse. The assembly robot plans a route between two points from each type of material storage position to the assembly table in advance, and defines the route as a feeding route. In addition, it is necessary to define the related loading operation control information of the assembly robot so as to perform the picking operation of the corresponding material at the corresponding position of the storage warehouse, and perform the unloading operation of the material after the material is carried to the specified position of the assembly table, thereby realizing the picking, transporting and unloading operation of the whole loading process. Based on this, the material loading flow corresponding to each order product needs to preset material information, a material loading flow and material loading operation control information. And subsequently, when a material loading process is executed, determining the material type required by the current personalized order based on the material information by the assembling robot, and determining a traveling route in the material loading process of the assembling robot based on the material loading route so as to store the material corresponding to the previous storage warehouse. And then the material goods taking operation is executed based on the feeding operation control information. After the goods are taken, the materials are conveyed to the assembly table based on the feeding line, the materials are placed at the appointed assembly position of the assembly table based on the feeding operation information, and the unloading operation of the materials is completed. And the whole material loading process is finished, and the assembling robot executes the next production process of order products. The whole process is automatically completed through the assembly robot, so that the feeding efficiency of order products can be improved, and the automation efficiency of a flexible production line is improved. There are many automatic feeding methods based on personalized orders, and the specific feeding process is not fixedly limited in the embodiment of the application, which is not described herein repeatedly.
In one embodiment, the personalized order may further include material selection information and process flow selection information of the user, and the flexible production line further performs a loading process based on the material flow selection information and performs material assembly based on the process flow selection information. It can be understood that the order product of the embodiment of the present application includes a plurality of different types of materials, and the order product is generated by assembling the materials in the assembling processes set by the different types of materials, and performing an automatic engraving operation on the order product at a designated position on the assembled product according to the job image defined by the user. Generally, the ordered product is assembled and produced according to the default material type and the corresponding process flow. In order to further adapt to the individual requirements of users, the embodiment of the application can adaptively select a plurality of materials from all materials to be assembled to generate material selection information and corresponding process flow selection information. By means of reducing related assembly materials, ordered products meet personalized requirements of users. In addition, in practical application, corresponding to a certain material assembling step, various different types of materials can be provided for a user to select and generate material selection information, so that personalized order products can be produced according to the material types selected by the user. The variety of order products is further expanded by adaptively adjusting the materials and the assembly process of the personalized order.
Further, after the automatic feeding of the current personalized order is completed based on the preset process flow, the assembling robot automatically assembles each material on the assembling table. And determining the assembling steps of all the materials in the process flow, and assembling the materials according to the preset assembling steps of all the materials. And during the process of assembling the materials or after the materials are assembled, carrying out an automatic carving process of the order product. Wherein, the final order product is generated by automatically carving the corresponding materials of the order product.
Wherein, the automatic sculpture process of individual product includes:
s1103, extracting the operation image contained in the current personalized order, and converting the operation image into product processing texture information;
and S1104, in the carving process flow of the corresponding product, automatically carving the current product according to the product processing grain information.
According to the method and the device, the operation image in the image information of the current personalized order product is extracted, and then the operation image is converted into the product processing grain information. And determining the lines on the product image by carrying out edge detection and identification on the operation image, and further obtaining corresponding product processing line information. For example, a user uploads a face photograph as a job image when placing an order. And based on the face picture, extracting the face contour of the face picture through an edge detection algorithm when product processing texture information is subsequently converted, then generating a corresponding vector point diagram by using the extracted face contour through a trajectory planning algorithm, and obtaining product processing texture information based on the vector point diagram, thereby completing the conversion from the face picture to the product processing texture information. In practical application, there are many ways to identify and extract lines and lines of an image based on a product image, and the embodiment of the application does not have fixed limitation on a specific identification way, and is not repeated here.
Further, based on the product processing texture information obtained by conversion, when the order product of the current personalized order is engraved, the laser engraving equipment can be driven, and the automatic engraving operation of the order product is performed according to the texture of the product processing texture information, so that the automatic production of the current personalized order is completed, and each preset process flow of the order product is completed.
S120, when each process flow of the personalized order is executed, detecting any process flow according to a preset process quality inspection process, and outputting a corresponding detection result; and judging whether the corresponding process flows are wrong or not based on the detection result, re-executing the personalized order or re-executing the corresponding process flows when any one process flow is determined to be wrong, and continuously executing the next process flow when the current process flow is determined to be correct until all the process flows of the personalized order are completed, so as to generate the corresponding order product.
Further, in the embodiment of the application, the process quality inspection process is synchronously executed when each process flow for executing the personalized order is too long. When the process quality inspection process is triggered, the process flows of automatic feeding, assembling, carving and the like corresponding to the personalized orders are sequentially subjected to quality inspection one by one to generate corresponding quality inspection results.
Optionally, referring to fig. 2, the process of detecting any one of the process flows according to a preset process quality inspection process, and the process of outputting a corresponding detection result includes:
s1201, extracting quality inspection index images preset corresponding to each process flow in the process quality inspection flows;
s1202, comparing the quality inspection index images with the corresponding process result images of the process flows one by one, determining and outputting the corresponding detection results of the process flows.
It will be appreciated that for each process flow, it is fixed at the end of the flow as to the processing state of the ordered product. Taking the material feeding process as an example, after the material feeding process is completed, the position state of the material is fixed, so that the subsequent flexible production line can automatically assemble the material. And obtaining a state image after the feeding process is finished as a process result image of the current process flow. And comparing the quality inspection index image with the quality inspection index image of the feeding process, and if the quality inspection index image is different from the quality inspection index image, indicating that the feeding process fails to pass the quality inspection. The quality inspection index image of the feeding process is a state image after the feeding process is completed by the flexible production line standard, the mark material is accurately placed at a designated position, and the whole feeding process is accurately completed. Based on this, in the process quality inspection process, corresponding to each process flow, the embodiment of the application acquires the process result image of the current process flow through the monitoring camera correspondingly arranged on the flexible production line, and compares the process result image with the quality inspection index image of the current process flow. And comparing the similarity of the two, wherein when the similarity meets a set threshold, the process flow is detected to pass, otherwise, when the similarity does not meet the set threshold, the process flow is executed wrongly. So as to obtain the corresponding detection result and output the detection result,
and then judging whether the current corresponding process flow is wrong or not based on the detection result, and if any process flow is determined to be wrong, ending the process flow of the current personalized order and re-executing the current personalized order. Or re-executing the current corresponding process flow, and only when the current process flow is determined to be correct, continuing to execute the next process flow until all the process flows of the personalized order are completed, so as to generate the corresponding order product.
S130, comparing the product image information based on the finished product image of the order product to generate a corresponding comparison result, storing the detection result and the comparison result as a quality inspection report, and returning the quality inspection report to the corresponding client.
And finally, according to the generated order product, acquiring a real-time finished product image of the order product, wherein the real-time finished product image comprises product engraving image information and product assembling state image information. And comparing the image with the operation image and the finished product effect image in the product image information to determine whether the current order product is qualified or not. It can be understood that, with reference to the above comparison method between the quality inspection index image and the flow result image, the second quality inspection is qualified only when the real-time product engraving image information of the order product matches with the operation image of the personalized order (that is, the image similarity reaches the specified similarity threshold), and the product assembly state image information matches with the finished product effect image information of the personalized order. Otherwise, the second quality inspection is unqualified. So as to obtain the comparison result of the second quality inspection.
Furthermore, the comparison result and the detection result of the previous process quality inspection process are combined to generate a quality inspection report, and the quality inspection report records the detection result of each process and the comparison result of the final order product. Based on the quality inspection report, whether quality abnormality occurs in the production process of the product can be determined. And whether the final generated order product meets the criteria. Therefore, exception handling of the flexible production line and quality control of ordered products are facilitated.
And finally, judging whether the order product is qualified or not based on the quality inspection report, if so, completing the production flow of the order product, and if not, re-executing the personalized order. And the quality inspection report is returned to the client, so that the client can conveniently know the production result of the personalized order and optimize the user experience. It can be understood that, based on the comparison result in the quality inspection report, if it is determined that the second quality inspection is not qualified, the order product is not qualified, and the personalized order needs to be executed again. Otherwise, if the second quality inspection is qualified, the quality inspection of the order product is qualified, so that the production flow of the order product is completed. Optionally, when the quality inspection report is used for judging whether the order product is qualified, if the quality inspection of a plurality of process flows is found to be unqualified according to the detection result of the quality inspection report, the corresponding process flows are executed repeatedly. And determining the times of quality inspection disqualification of the detection result, and similarly determining that the product of the current order is disqualified when the times of quality inspection disqualification reach the set times. Therefore, quality control of ordered products can be further enhanced, and production quality of the products is optimized.
Further, the logistics order of the order product is automatically generated based on the logistics information of the current personalized order. Based on the produced order products, the order products are automatically packaged based on the preset process flow. It can be understood that the preset process flow presets the automatic packaging control information of the order product, and then after the generation of the order product is completed, the automatic packaging of the order product can be performed based on the control information. In the prior art, there are many embodiments for automatically packaging products, and details are not described herein.
Finally, after packaging is completed, the embodiment of the application generates the logistics order of the order product based on the logistics information of the current personalized order, so as to perform logistics distribution of the order product based on the logistics order. And generating a logistics order of the order product based on the attribute information of the order product, the logistics address and the user information by extracting a logistics address and user information contained in the logistics information. It can be understood that when a user places an order for a personalized order, material information including a material flow address and user information is provided in advance, so that the material flow order can be generated according to the material information subsequently. In addition, in order to accurately generate the logistics order, the logistics order needs to be generated according to the attribute information such as the size and the weight of the ordered product, so as to facilitate the subsequent delivery of the logistics order. The whole generation process is highly automatic, and according to the actual requirements of users, the order products can meet the individual requirements of the users by uploading the corresponding product image information, and the flexibility of the production line is improved. It should be noted that the flexible production line of the application can be applied to the production of various artworks needing to be assembled, and corresponding product image information is added to ordered products in a laser automatic carving mode, so that the flexibility of production line production is realized.
In one embodiment, the logistics information of the other personalized orders in the order queue is compared according to the logistics information of the current personalized order, and a logistics order is generated corresponding to each personalized order with the same logistics information. It can be understood that, for a plurality of personalized orders placed by a user, in order to facilitate the distribution of subsequent orders, a plurality of personalized orders with the same logistics information may be combined to generate one logistics order, and the unified logistics distribution is performed based on a plurality of personalized orders from the same user. Therefore, the order production and distribution efficiency of the corresponding user can be improved, and the order placing experience of the user is optimized.
Receiving a personalized order uploaded by a client, wherein the personalized order comprises corresponding product image information; when each process flow of the personalized order is executed, any process flow is detected according to a preset process quality inspection process, and a corresponding detection result is output; judging whether the corresponding process flows are wrong or not based on the detection result, re-executing the personalized order or re-executing the corresponding process flows when any process flow is determined to be wrong, and continuously executing the next process flow when the current process flow is determined to be correct until all process flows of the personalized order are completed, so as to generate corresponding order products; and comparing the product image information based on the finished product image of the order product to generate a corresponding comparison result, storing the detection result and the comparison result as a quality inspection report, and returning the quality inspection report to the corresponding client. By adopting the technical means, the quality detection of the product from production to finished product can be realized, the product quality of the personalized product is ensured, and the automatic production effect of the product is optimized.
Example two:
on the basis of the above embodiments, fig. 3 is a schematic structural diagram of an automated quality inspection apparatus of a flexible production line according to a second embodiment of the present application. Referring to fig. 3, the automated quality inspection apparatus for a flexible production line provided in this embodiment specifically includes: a receiving module 21, a detecting module 22 and a reporting module 23.
The receiving module 21 is configured to receive a personalized order uploaded by a client, where the personalized order includes corresponding product image information;
the detection module 22 is configured to, when each process flow of the personalized order is executed, detect any one of the process flows according to a preset process quality inspection process, and output a corresponding detection result; judging whether the corresponding process flows are wrong or not based on the detection result, re-executing the personalized order or re-executing the corresponding process flows when any one process flow is determined to be wrong, and continuously executing the next process flow when the current process flow is determined to be correct until all the process flows of the personalized order are completed, so as to generate corresponding order products;
the report module 23 is configured to compare the product image information based on the finished product image of the order product, generate a corresponding comparison result, store the detection result and the comparison result as a quality inspection report, and return the quality inspection report to the corresponding client.
Specifically, the detection module 22 includes:
extracting a quality inspection index image preset corresponding to each process flow in the process quality inspection flows;
and comparing the quality inspection index images with the corresponding process result images of the process flow one by one, determining the corresponding detection result of the process flow and outputting the detection result.
The reporting module 23 includes:
and judging whether the order product is qualified or not based on the quality inspection report, if so, completing the production flow of the order product, and if not, re-executing the personalized order.
And automatically generating the logistics order of the order product based on the logistics information of the current personalized order.
The receiving module 21 includes:
and automatically arranging the orders of the personalized orders to generate an order queue, and sequentially extracting and executing the corresponding personalized orders from the order queue.
And sequencing each personalized order according to the order placing time of each personalized order to generate a corresponding order queue.
And adjusting the sequence of the corresponding personalized orders in the order queue according to order batch and/or user priority.
Receiving a personalized order uploaded by a client, wherein the personalized order comprises corresponding product image information; when each process flow of the personalized order is executed, any process flow is detected according to a preset process quality inspection process, and a corresponding detection result is output; judging whether the corresponding process flows are wrong or not based on the detection result, re-executing the personalized order or re-executing the corresponding process flows when any process flow is determined to be wrong, and continuously executing the next process flow when the current process flow is determined to be correct until all process flows of the personalized order are completed, so as to generate corresponding order products; and comparing the product image information based on the finished product image of the order product to generate a corresponding comparison result, storing the detection result and the comparison result as a quality inspection report, and returning the quality inspection report to the corresponding client. By adopting the technical means, the quality detection of the product from production to finished product can be realized, the product quality of the personalized product is ensured, and the automatic production effect of the product is optimized.
The automatic quality inspection device of the flexible production line provided by the second embodiment of the application can be used for executing the automatic quality inspection method of the flexible production line provided by the first embodiment of the application, and has corresponding functions and beneficial effects.
Example three:
an embodiment of the present application provides an electronic device, and with reference to fig. 4, the electronic device includes: a processor 31, a memory 32, a communication module 33, an input device 34, and an output device 35. The number of processors in the electronic device may be one or more, and the number of memories in the electronic device may be one or more. The processor, memory, communication module, input device, and output device of the electronic device may be connected by a bus or other means.
The memory 32 is a computer readable storage medium for storing software programs, computer executable programs, and modules, such as program instructions/modules corresponding to the automated quality inspection method for a flexible manufacturing line according to any embodiment of the present application (e.g., a receiving module, a detecting module, and a reporting module in an automated quality inspection device for a flexible manufacturing line). The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to use of the device, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory may further include memory located remotely from the processor, and these remote memories may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The communication module 33 is used for data transmission.
The processor 31 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory, so as to realize the automatic quality inspection method of the flexible production line.
The input device 34 may be used to receive entered numeric or character information and to generate key signal inputs relating to user settings and function controls of the apparatus. The output device 35 may include a display device such as a display screen.
The electronic device provided by the embodiment can be used for executing the automatic quality inspection method of the flexible production line provided by the embodiment one, and has corresponding functions and beneficial effects.
Example four:
embodiments of the present application also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for automated quality inspection of a flexible production line, the method comprising: receiving a personalized order uploaded by a client, wherein the personalized order comprises corresponding product image information; when each process flow of the personalized order is executed, detecting any one process flow according to a preset process quality inspection process, and outputting a corresponding detection result; judging whether the corresponding process flows are wrong or not based on the detection result, re-executing the personalized order or re-executing the corresponding process flows when any one process flow is determined to be wrong, and continuously executing the next process flow when the current process flow is determined to be correct until all the process flows of the personalized order are completed, so as to generate corresponding order products; and comparing the product image information based on the finished product image of the order product to generate a corresponding comparison result, storing the detection result and the comparison result as a quality inspection report, and returning the quality inspection report to the corresponding client.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations, e.g., in different computer systems connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application contains computer executable instructions, and the computer executable instructions are not limited to the above-mentioned automated quality inspection method for a flexible production line, and may also perform related operations in the automated quality inspection method for a flexible production line provided in any embodiment of the present application.
The automatic quality inspection device, the storage medium, and the electronic device of the flexible production line provided in the above embodiments may perform the automatic quality inspection method of the flexible production line provided in any embodiment of the present application, and reference may be made to the automatic quality inspection method of the flexible production line provided in any embodiment of the present application without detailed technical details described in the above embodiments.
The foregoing is considered as illustrative of the preferred embodiments of the invention and the technical principles employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (10)
1. An automatic quality inspection method for a flexible production line is characterized by comprising the following steps:
receiving a personalized order uploaded by a client, wherein the personalized order comprises corresponding product image information;
when each process flow of the personalized order is executed, detecting any one process flow according to a preset process quality inspection process, and outputting a corresponding detection result;
judging whether the corresponding process flows are wrong or not based on the detection result, re-executing the personalized order or re-executing the corresponding process flows when any one process flow is determined to be wrong, and continuously executing the next process flow when the current process flow is determined to be correct until all the process flows of the personalized order are completed, so as to generate corresponding order products;
and comparing the product image information based on the finished product image of the order product to generate a corresponding comparison result, storing the detection result and the comparison result as a quality inspection report, and returning the quality inspection report to the corresponding client.
2. The automatic quality inspection method for the flexible production line according to claim 1, wherein the detecting any one of the process flows according to the preset process quality inspection flow and outputting the corresponding detection result comprises:
extracting a quality inspection index image preset corresponding to each process flow in the process quality inspection flows;
and comparing the quality inspection index images with the corresponding process result images of the process flow one by one, determining the corresponding detection result of the process flow and outputting the detection result.
3. The method for automatically inspecting the quality of a flexible production line according to claim 1, wherein after storing the inspection result and the comparison result as a quality inspection report, the method further comprises:
and judging whether the order product is qualified or not based on the quality inspection report, if so, completing the production flow of the order product, and if not, re-executing the personalized order.
4. The automated quality inspection method for flexible production lines according to claim 3, further comprising, after completing the production flow of the ordered product:
and automatically generating the logistics order of the order product based on the logistics information of the current personalized order.
5. The automated quality inspection method for the flexible production line according to claim 1, further comprising, after receiving the personalized order uploaded by the client:
and automatically arranging the orders of the personalized orders to generate an order queue, and sequentially extracting and executing the corresponding personalized orders from the order queue.
6. The automated quality inspection method for the flexible production line according to claim 5, wherein the automatically arranging the order of each personalized order to generate the order queue comprises:
and sequencing each personalized order according to the order placing time of each personalized order to generate a corresponding order queue.
7. The automated quality inspection method for the flexible production line according to claim 6, wherein after the step of sorting each personalized order according to the order placing time of each personalized order and generating the corresponding order queue, the method further comprises the following steps:
and adjusting the sequence of the corresponding personalized orders in the order queue according to order batch and/or user priority.
8. An automatic quality inspection device of a flexible production line is characterized by comprising:
the receiving module is used for receiving the personalized order uploaded by the client, and the personalized order comprises corresponding product image information;
the detection module is used for detecting any one of the process flows according to a preset process quality inspection flow and outputting a corresponding detection result when each process flow of the personalized order is executed; judging whether the corresponding process flows are wrong or not based on the detection result, re-executing the personalized order or re-executing the corresponding process flows when any one process flow is determined to be wrong, and continuously executing the next process flow when the current process flow is determined to be correct until all the process flows of the personalized order are completed, so as to generate corresponding order products;
and the report module is used for comparing the product image information based on the finished product image of the order product to generate a corresponding comparison result, storing the detection result and the comparison result as a quality inspection report, and returning the quality inspection report to the corresponding client.
9. An electronic device, comprising:
a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the automated quality inspection method for a flexible production line of any one of claims 1-7.
10. A storage medium containing computer-executable instructions for performing the automated quality inspection method for a flexible production line according to any one of claims 1 to 7 when executed by a computer processor.
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