CN116309471A - Quality defect early warning method and device, electronic equipment and medium - Google Patents
Quality defect early warning method and device, electronic equipment and medium Download PDFInfo
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Abstract
The invention discloses a quality defect early warning method, a quality defect early warning device, electronic equipment and a medium, wherein the quality defect early warning method comprises the following steps: obtaining a product image of a product through an industrial camera; the method comprises the steps that product defect type information of a product image is identified through detection equipment, the product defect type information of the product image is uploaded to a background server, the product defect type information represents whether a defect exists in the product image, and the defect type of the product image when the product has the defect; and analyzing the size and the position of the defects in the product image according to the product defect type information through a background server, and performing defect early warning operation according to the product defect type information. According to the method, the industrial camera and the background server are matched with each other, the acquisition of the product image and the defect type detection are performed, whether defect early warning is sent out is judged, the accuracy and timeliness of the defect early warning are improved, and the outflow of defective products on a production line is reduced.
Description
Technical Field
The present invention relates to the field of quality analysis technologies, and in particular, to a quality defect early warning method, a quality defect early warning device, an electronic device, and a medium.
Background
In the PCB industry chain, upstream raw materials comprise copper foil, glass fiber cloth, ring-ball resin and the like, midstream mainly comprises an epoxy glass fiber copper-clad plate, each link in the industry chain needs strict quality control, and defect detection on products is one content of quality control.
In the prior art, the defect detection is mainly carried out on the product by manpower, the defect detection comprises detection items such as product appearance size, flaws, defects, scratches, burrs, deformation and the like, and because the visual range of human eyes is limited, the problem of slight defects and cracks of the product is often ignored in the manual detection, so that a large number of defective products of manufacturers flow out, and the problems of inaccurate defect early warning and untimely defect early warning occur in the production detection process in the manual detection.
Disclosure of Invention
The invention provides a quality defect early warning method, a quality defect early warning device, electronic equipment and a medium, which are used for solving the problems of inaccurate defect early warning and untimely defect early warning.
According to an aspect of the present invention, there is provided a quality defect early warning method, including:
obtaining a product image of a product through an industrial camera;
the method comprises the steps that product defect type information of a product image is identified through detection equipment, the product defect type information of the product image is uploaded to a background server, the product defect type information represents whether a defect exists in the product image, and the defect type of the product image when the product has the defect;
and analyzing the size and the position of the defects in the product image according to the product defect type information through a background server, and performing defect early warning operation according to the product defect type information.
According to another aspect of the present invention, there is provided a quality defect warning apparatus comprising:
the product image acquisition module is used for acquiring a product image of a product through the industrial camera;
the uploading information module is used for identifying product defect type information of the product image through the detection equipment, uploading the product defect type information of the product image to the background server, wherein the product defect type information represents whether the product image has defects or not, and the defect type of the product image when the product has the defects;
the defect early warning execution module is used for analyzing the size and the position of the defect in the product image according to the product defect type information through the background server and carrying out defect early warning operation according to the product defect type information.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the quality defect warning method of any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute the quality defect warning method according to any one of the embodiments of the present invention.
According to the technical scheme, through the industrial cameras additionally arranged on the production line, the shooting frequency of the industrial cameras is set, the product images of the products are obtained, the product defect type information of the product images is identified on line through the detection equipment, the product defect type information comprises a judging result of whether the products have defects or not, and the defect types of the product images belong to when the products have defects, the detection equipment uploads the product defect type information to the background server, the background server analyzes the size and the position of the defects in the product images according to the product defect type information, judges whether defect early warning operation is carried out or not according to the product defect type information, and the method carries out acquisition of the product images and defect type detection and judges whether defect early warning is sent or not through the mutual matching of the industrial cameras and the background server, so that the accuracy and the timeliness of defect early warning are improved, and the outflow of inferior goods on the production line is reduced.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a quality defect pre-warning method according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a quality defect pre-warning method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a quality defect early warning device according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device implementing a quality defect early warning method according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a quality defect early warning method according to an embodiment of the present invention, where the method can be applied to quality defect early warning of products, and the method can be performed by a quality defect early warning device, and the quality defect early warning device can be implemented in hardware and/or software, and the quality defect early warning device can be configured in any electronic device with a network communication function. As shown in fig. 1, the method may include:
s110, obtaining a product image of the product through an industrial camera.
Specifically, an industrial camera is additionally arranged on a production line of the product, the preset shooting frequency of an industrial chain is set for the industrial camera, the industrial camera shoots the product on the industrial chain in a preset direction according to the preset shooting frequency, a product image of the product is obtained, a basis is provided for the detection equipment to identify the defect type of the product, and the preset direction can be the view setting when the industrial camera shoots the product.
S120, identifying product defect type information of the product image through detection equipment, and uploading the product defect type information of the product image to a background server, wherein the product defect type information represents whether the product image has defects or not, and the defect type of the product image when the product has the defects.
Specifically, whether the product image has defects or not is identified on line through detection equipment, when the product has defects, the product image belongs to which defect type, whether the product image has defects or not and which defect type the product image belongs to are encoded into product defect type information, and the product defect type information is transmitted to a background server through a preset channel, wherein the preset channel can be a transmission path supported by an FTP network protocol.
Optionally, the defect type includes flaws, defects, scratches, burrs, dirty stains, breakage, holes, caterpillars and mosquitoes on the surface of the product, and the apparent size of the product is not in compliance with the specification.
For example, when the detecting device detects that the product image has a defect, it is necessary to further determine which defect type the product image belongs to, where the defect type may be a flaw, a defect, a scratch, a burr, a dirty stain, a breakage, a caterpillar, a mosquito, and an apparent size of the product are not in compliance with the specification, encode a result of determining that the product image has a defect and the defect type into product defect type information, the product defect type information corresponds to a corresponding product image, and transmit the product defect type information to the background server through a transmission channel supported by the FTP network protocol, and the background server further analyzes the product defect type information.
S130, analyzing the size and the position of the defects in the product image according to the product defect type information through a background server, and performing defect early warning operation according to the product defect type information.
Specifically, the background server realizes the grading classification of the product quality according to the defect position and the size of the product in the product image and performs the data tracing of the defect to quickly find the position of the corresponding defect in the product according to the defect position and the size of the corresponding product image recorded by the product defect type information; and the background server judges whether to perform defect early warning operation according to the product defect type information and thresholds of the defect early warning.
The embodiment of the application provides a quality defect early warning method, wherein an industrial camera is additionally arranged on a production line, the shooting frequency of the industrial camera is set, the product image of a product is obtained, product defect type information of the product image is recognized on line through detection equipment, the product defect type information comprises a judging result of whether the product has defects or not, and the defect type of the product image belongs to when the product has defects, the detection equipment uploads the product defect type information to a background server, the background server analyzes the size and the position of the defects in the product image according to the product defect type information, and judges whether to perform defect early warning operation or not according to the product defect type information.
Example two
Fig. 2 is a flowchart of a quality defect pre-warning method according to a second embodiment of the present invention, where the method for pre-warning according to quality defects is described in detail on the basis of the above embodiment. As shown in fig. 2, the method may include:
s210, acquiring a product image of a product through an industrial camera.
Specifically, product images of products are acquired according to a preset shooting frequency by industrial cameras of a production line, wherein the industrial cameras have a network transmission function, and the product images acquired by the industrial cameras can be transmitted to detection equipment on line.
S220, identifying product defect type information of the product image through detection equipment, and uploading the product defect type information of the product image to a background server, wherein the product defect type information represents whether the product image has defects or not, and the defect type of the product image when the product has the defects.
As an alternative but non-limiting implementation, the online identification of product defect type information of a product image by a detection device includes steps A1-A2:
and A1, determining thresholds of each defect type in the product image, wherein the thresholds of each defect type are determined according to the influence condition of each defect type on the product application.
Specifically, the degree to which different defect levels of each defect type affect the application or appearance of the product is also inconsistent, so that whether each type of defect exists in the product image is determined according to each defect type threshold value of the product, wherein each defect type threshold value of the product is determined according to the application and appearance influence degree of the defect on the product.
And A2, judging whether the product image to be identified has defects of corresponding defect types or not according to the threshold value of each defect type, and generating product defect type information.
Specifically, when judging each defect type of a product in a product image to be identified by the detection equipment according to the threshold value of each defect type determined in the step A1, comparing each type of defect data of the product with each defect type threshold value, further judging which type of defect exists in the product image, and sending product defect type information of the product image to a server, wherein the product defect type information comprises information about whether defects exist in the product image, product defect type information to which the product image belongs and data of each type of defects of the product image.
Illustratively, the ICW inspection apparatus determines whether a defect exists in the product image, and determines each defect type of the product image based on each type of defect data of the product and each defect type threshold.
S230, analyzing the size and the position of the defects in the product image according to the product defect type information through a background server, and performing defect early warning operation according to the product defect type information.
Specifically, the background server calculates the size of each defect according to each defect data recorded by the product defect type information, records the relative position of the defect, and judges whether to execute defect early warning operation or not according to each defect early warning threshold value.
As an optional implementation manner, but not limited to, the defect early warning operation is performed by the background server according to the product defect type information, and the method comprises the following steps of:
and B1, determining a production yield detection period of the production line and a production yield threshold of the production line.
Specifically, a detection period of the yield of the production line is determined, and in order to extract the product defect type information in the detection period of the yield of the production line, a yield threshold of the production line is determined to judge under what condition to send out yield early warning.
For example, the cycle of monitoring the production line is at least 1 hour, so the cycle of monitoring the defect type information of the product is set to be 1 hour at the shortest in the method for performing the early warning of the production yield.
And B2, reading data in the production line yield rate detection cycle range from the central database through a background server.
Specifically, the central database of the background server records the product defect type information, extracts the product defect type information within the energy rate detection period range of the production line from the central database of the background server, and provides data support for calculating the energy rate of the production line.
Illustratively, the background server GMQM reads product defect type information within the production line yield detection period from the B11 central database.
And B3, calculating the yield of the current production line according to the background server, and judging whether to send out yield early warning according to the yield threshold of the production line.
Specifically, the background server calculates the yield of the current production line according to the product defect type information in the production line yield detection period range, judges whether the yield of the current production line meets the standard according to the yield threshold of the production line, and controls corresponding early warning equipment to send yield early warning if the yield of the current production line does not meet the standard.
And B4, refreshing the data of the central database according to the production line productivity yield detection period.
Specifically, after the background server detects the production line yield of the current production line yield detection period, the data of the central database is refreshed, and the data comprises the product defect type information.
As an optional implementation manner, but not limited to, the defect early warning operation is performed by the background server according to the product defect type information, and the method comprises the following steps of:
and C1, determining a defect early warning threshold value of a fixed position, a specific defect early warning condition, a defect counting parameter of the same type and a maintenance period of each part, analyzing the defects of the preset position through a background server, judging that the defects reach the defect early warning threshold value of the fixed position, and executing the defect early warning operation of the fixed position, wherein the fixed position is a position which is positioned on the surface of a product and needs quality evaluation.
Specifically, before the background server executes the defect early warning operation of each type, the threshold value for executing the defect early warning of each type needs to be determined and judged, wherein the threshold value comprises a defect early warning threshold value of a fixed position, a specific defect early warning condition, a defect counting parameter of the same type and a maintenance period of each part, before the background server sends the defect early warning operation of the fixed position, the defect of the preset position is analyzed to be in accordance with the defect early warning threshold value of the fixed position, and the background server controls the corresponding early warning equipment to execute the defect early warning operation of the fixed position.
And step C2, analyzing that the product has specific defects according to the product image by a background server, wherein the specific defects accord with the specific defect early warning condition, and executing specific defect early warning operation.
Specifically, the background server analyzes whether the defect type of the product contains a specific defect according to the product defect type information, and the specific defect accords with the specific defect early warning condition, and the background server controls the corresponding early warning equipment to execute specific defect early warning operation.
And C3, analyzing the defects of the same type of the current product according to the product image by a background server, and executing early warning of the defects of the same type when the times of the defects of the same type reach the count parameter of the defects of the same type.
Specifically, the background server analyzes the defects of the same type for a plurality of times when the current product is subjected to the defect type information of the product, counts the times when the defects of the same type are subjected to the defect type information of the current product, compares the counted times with the defect count parameter of the same type, and controls corresponding defect early warning equipment to execute the defect early warning of the same type if the times of the defects of the same type are greater than or equal to the defect count parameter of the same type.
And C4, analyzing the maintenance date of each part in the current product according to the product image by a background server, judging whether the part needs maintenance according to the maintenance period of each part, and executing equipment spot inspection maintenance early warning if the maintenance period of a certain part is reached.
Specifically, the background server analyzes the defect type information of the current product according to the product image, retrieves the maintenance period of each part of the product or the production line, judges whether the part needs maintenance according to each part maintenance period, and if one or a plurality of parts reach the part maintenance period, the background server controls corresponding defect early warning equipment to execute equipment point inspection maintenance early warning.
As an optional implementation manner, but not limited to, the defect early warning operation is performed by the background server according to the product defect type information, and the method comprises the following steps of:
and D1, determining the attribute of the continuous type defect in the product.
Specifically, when the product defect type information includes two or more product defects, the continuous type defects are likely to occur, and the two or more product defects can be seen as a whole, and the information such as the distance between all product defects is calculated to determine the attribute of the continuous type defects occurring in the product.
And D2, judging the continuous type defects of the current product according to the attribute of the continuous type defects in the product by a background server, and executing continuous defect early warning if the continuous type defects exist in the current product.
Specifically, the background server analyzes the product defect type information, when the product comprises two or more product defects, whether the current product has continuous type defects or not needs to be judged according to the attribute of the continuous type defects, and if the current product has the continuous type defects, the background server controls corresponding defect early warning equipment to execute continuous defect early warning.
S240, grading and classifying the product quality according to the size and the position of the defects in the product image.
Specifically, the background server calculates the size and the relative position of the defects in the product image according to the product defect type information, and the background server ranks the product quality and classifies the product quality according to the size and the position information of the defects in the product image.
S250, tracking the position of the defect on the product according to the position condition of the defect in the product image.
Specifically, the background server analyzes the product defect type information to calculate the relative position condition of the defect in the product image, and the specific position of the defect on the product surface can be traced back according to the relative position condition.
The embodiment of the application provides a quality defect early warning method, through the industrial camera additionally arranged on a production line, the shooting frequency of the industrial camera is set, the product image of a product is obtained, product defect type information of the product image is identified on line through detection equipment, the product defect type information comprises a judging result of whether the product has defects or not, and the defect type of the product image belongs to when the product has defects, the detection equipment uploads the product defect type information to a background server, the background server analyzes the size and the position of the defects in the product image according to the product defect type information, and judges whether to perform defect early warning operation according to the product defect type information and each defect type threshold value.
Example III
Fig. 3 is a schematic structural diagram of a quality defect early warning device according to a third embodiment of the present invention, where the device may execute the quality defect early warning method according to any embodiment of the present invention, and the device has functional modules and beneficial effects corresponding to the execution method. As shown in fig. 3, the apparatus may include:
a product image acquisition module 310 for acquiring a product image of a product by an industrial camera;
the uploading information module 320 is configured to identify product defect type information of the product image by using the detection device, upload the product defect type information of the product image to the background server, where the product defect type information indicates whether the product image has a defect, and indicate a defect type to which the product image belongs when the product has the defect;
the defect early-warning execution module 330 is configured to analyze, by using the background server, the size and the position of the defect in the product image according to the product defect type information, and perform defect early-warning operation according to the product defect type information.
Further, the defect types include flaws, defects, scratches, burrs, dirty stains, breakage, holes, caterpillars and mosquitoes on the surface of the product, and the apparent size of the product is not in compliance with the regulations.
Further, the upload information module 320 includes:
a defect threshold determining unit, configured to determine thresholds of each defect type in the product image, where the thresholds of each defect type are determined according to an influence condition of each defect type on the product application;
and the defect information generating unit is used for judging whether the product image to be identified has defects of corresponding defect types according to the threshold value of each defect type, and generating product defect type information.
Further, the quality defect early warning device further includes:
the quality grading and classifying module is used for grading and classifying the quality of the product according to the size and the position of the defect in the product image;
and the defect tracing module is used for tracing the position of the defect on the product according to the position condition of the defect in the product image.
Further, the defect early warning execution module 330 includes:
the first threshold determining unit is used for determining a production yield rate detection period of the production line and a production yield rate threshold of the production line;
the data reading unit is used for reading data in the production line yield rate detection period range from the central database through the background server;
the first early warning sending judging unit is used for calculating the yield of the current production line according to the background server and judging whether to send out the early warning of the yield according to the yield threshold of the production line;
and the database refreshing unit is used for refreshing the data of the central database according to the production line productivity yield detection period.
Further, the defect early warning execution module 330 includes:
the second early warning sending judging unit is used for determining a defect early warning threshold value of a fixed position, a specific defect early warning condition, defect counting parameters of the same type and maintenance periods of all parts, analyzing the defects of the preset position through a background server, judging that the defects reach the defect early warning threshold value of the fixed position, and executing the defect early warning operation of the fixed position, wherein the fixed position is a position which is positioned on the surface of a product and needs quality evaluation;
the third early warning sending judging unit is used for analyzing that the product has specific defects according to the product image through the background server, and the specific defects accord with the specific defect early warning condition and execute specific defect early warning operation;
the fourth early warning sending judging unit is used for analyzing the defects of the same type of the current product according to the product image through the background server, and executing early warning of the defects of the same type when the times of the defects of the same type reach the counting parameters of the defects of the same type;
and the fifth early warning sending judging unit is used for analyzing the maintenance date of each part in the current product according to the product image through the background server, judging whether the part needs maintenance according to the maintenance period of each part, and executing equipment spot inspection maintenance early warning if the maintenance period of a certain part is reached.
Further, the defect early warning execution module 330 includes:
a second threshold determining unit for determining an attribute of occurrence of a continuous type defect in the product;
and the sixth early warning sending judging unit is used for judging the continuous type defect of the current product according to the attribute of the continuous type defect in the product through the background server, and executing the continuous defect early warning if the continuous type defect exists in the current product.
The quality defect early warning device provided by the embodiment of the invention can execute the quality defect early warning method provided by any embodiment of the invention, has the corresponding functions and beneficial effects of executing the quality defect early warning method, and the detailed process refers to the related operation of the quality defect early warning method in the embodiment.
Example IV
Fig. 4 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the quality defect warning method.
In some embodiments, the quality defect warning method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the quality defect warning method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the quality defect pre-warning processing method in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. The quality defect early warning method is characterized by comprising the following steps of:
obtaining a product image of a product through an industrial camera;
the method comprises the steps that product defect type information of a product image is identified through detection equipment, the product defect type information of the product image is uploaded to a background server, the product defect type information represents whether a defect exists in the product image, and the defect type of the product image when the product has the defect;
and analyzing the size and the position of the defects in the product image according to the product defect type information through a background server, and performing defect early warning operation according to the product defect type information.
2. The method of claim 1, wherein the defect type comprises flaws, defects, scratches, burrs, smudges, breaks, holes, caterpillars and mosquitoes on the surface of the product, and the apparent size of the product is not specified.
3. The method of claim 1, wherein the product defect type information of the product image is identified on-line by the inspection apparatus, comprising:
determining threshold values of each defect type in the product image, wherein the threshold values of each defect type are determined according to the influence condition of each defect type on the product application;
judging whether the product image to be identified has defects of corresponding defect types or not according to the threshold value of each defect type, and generating product defect type information.
4. The method of claim 1, wherein analyzing, by the background server, the size and location of the defect in the product image based on the product defect type information, further comprises:
grading and classifying the product quality according to the size and the position of the defects in the product image;
and tracing the position of the defect on the product according to the position condition of the defect in the product image.
5. The method of claim 1, wherein performing, by the background server, defect warning operations based on product defect type information, comprises:
determining a production yield detection period of a production line and a production yield threshold of the production line;
reading data in the production line yield detection cycle range from a central database through a background server;
calculating the yield of the current production line according to the background server, and judging whether to send out yield early warning according to the yield threshold of the production line;
and refreshing the data of the central database according to the production line yield rate detection period.
6. The method of claim 1, wherein performing, by the background server, defect warning operations based on product defect type information, comprises:
determining a defect early warning threshold value of a fixed position, a specific defect early warning condition, a defect counting parameter of the same type and a maintenance period of each part, analyzing the defects of the preset position through a background server, judging that the defects reach the defect early warning threshold value of the fixed position, and executing the defect early warning operation of the fixed position, wherein the fixed position is a position which is positioned on the surface of a product and needs quality evaluation;
analyzing that a specific defect occurs to the product according to the product image by a background server, wherein the specific defect accords with the specific defect early warning condition, and executing specific defect early warning operation;
analyzing the defects of the same type of the current product according to the product image by a background server, and executing early warning of the defects of the same type when the times of the defects of the same type reach the count parameter of the defects of the same type;
analyzing the maintenance date of each part in the current product according to the product image by a background server, judging whether the part needs maintenance according to the maintenance period of each part, and executing equipment spot inspection maintenance early warning if the maintenance period of a certain part is reached.
7. The method of claim 1, wherein performing, by the background server, defect warning operations based on product defect type information, comprises:
determining the attribute of continuous type defects in the product;
and judging the continuous type defects of the current product according to the attribute of the continuous type defects in the product by a background server, and executing continuous defect early warning if the continuous type defects exist in the current product.
8. A quality defect warning device, comprising:
the product image acquisition module is used for acquiring a product image of a product through the industrial camera;
the uploading information module is used for identifying product defect type information of the product image through the detection equipment, uploading the product defect type information of the product image to the background server, wherein the product defect type information represents whether the product image has defects or not, and the defect type of the product image when the product has the defects;
the defect early warning execution module is used for analyzing the size and the position of the defect in the product image according to the product defect type information through the background server and carrying out defect early warning operation according to the product defect type information.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the quality defect warning method of any one of claims 1-7.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement the quality defect warning method of any one of claims 1-7 when executed.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117115153A (en) * | 2023-10-23 | 2023-11-24 | 威海坤科流量仪表股份有限公司 | Intelligent printed circuit board quality detection method based on visual assistance |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117115153A (en) * | 2023-10-23 | 2023-11-24 | 威海坤科流量仪表股份有限公司 | Intelligent printed circuit board quality detection method based on visual assistance |
| CN117115153B (en) * | 2023-10-23 | 2024-02-02 | 威海坤科流量仪表股份有限公司 | Intelligent printed circuit board quality detection method based on visual assistance |
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