Cable head manufacturing quality monitoring method, device and electronic equipment

Abstract

The present invention provides a method, device, electronic device and storage medium for monitoring the production quality of a cable head. The method comprises: based on the preset time interval corresponding to each production stage of the target cable head, sequentially obtaining the production video data of the target cable head in each production stage; for the production video data of each production stage, performing feature extraction on the production video data of the current production stage, and obtaining the production structure feature set and the number of production structure features corresponding to the current production stage; when it is detected that the number of production structure features meets the preset conditions, the production structure feature set corresponding to the current production stage is input into the preset production quality monitoring model, and the production quality monitoring result corresponding to the current production stage is obtained; the production quality monitoring result of the target cable head is determined according to the production quality monitoring result corresponding to each production stage. The present invention can quickly and accurately monitor and control the production quality of the target cable head.

Description

Technical Field

[0001] The present invention relates to the technical field of power cables, and in particular to a method, a device and an electronic device for monitoring the manufacturing quality of a cable head. Background Art

[0002] Since the vigorous development of urbanization, power cables have become the first choice for power line construction. When one end of the cable is connected to other electrical equipment, a cable terminal is required; when one end of two cables is connected to form a cable line, a cable intermediate joint is required. The cable terminal and the intermediate joint are collectively referred to as cable heads.

[0003] The main function of the cable head is to seal the cable. When the cable leaves the factory, both ends are sealed, but when laying or connecting, the ends must be cut open, which destroys its sealing. If the ends of the cable are not sealed when laying or the cable head is not of good quality, the cable head will leak oil, and finally the insulating oil will dry up, the insulation performance will be greatly reduced, and the safe operation of the cable will be affected. In addition, the cable paper has strong water absorption and is very susceptible to moisture. If the cable is not sealed well, moisture will invade the inside of the cable, which will also reduce the insulation performance and affect the safe operation of the cable. Therefore, the cable head is the weak link of the cable insulation and an important factor affecting the safe operation of the line.

[0004] However, there are currently no technical means to control the quality of cable head production at cable construction sites, and operators rely entirely on experience. Summary of the invention

[0005] The embodiments of the present invention provide a method, device and electronic device for monitoring the manufacturing quality of a cable head, so as to solve the problem that the manufacturing quality of the cable head cannot be controlled in real time.

[0006] In a first aspect, an embodiment of the present invention provides a method for monitoring the manufacturing quality of a cable head, comprising:

[0007] Based on the preset time interval corresponding to each production stage of the target cable head, sequentially obtaining the production video data of the target cable head at each production stage;

[0008] For the production video data of each production stage, feature extraction is performed on the production video data of the current production stage to obtain a production structure feature set and a number of production structure features corresponding to the current production stage;

[0009] Detecting whether the number of the manufacturing structure features meets the preset conditions. If the number of the manufacturing structure features meets the preset conditions, inputting the manufacturing structure feature set corresponding to the current manufacturing stage into a preset manufacturing quality monitoring model to obtain the manufacturing quality monitoring result corresponding to the current manufacturing stage;

[0010] The production quality monitoring result of the target cable head is determined according to the production quality monitoring result corresponding to each production stage.

[0011] In a possible implementation, the extracting features of the production video data of the current production stage to obtain the production structure feature set and the number of production structure features corresponding to the current production stage includes:

[0012] Inputting the production video data of the current production stage into a first feature extraction model to obtain a first production structure feature set;

[0013] Inputting the production video data of the current production stage into the second feature extraction model to obtain a second production structure feature set;

[0014] According to the first production structure feature set and the second production structure feature set, a production structure feature set and a number of production structure features corresponding to the current production stage are obtained.

[0015] In a possible implementation, obtaining the production structure feature set and the number of production structure features corresponding to the current production stage according to the first production structure feature set and the second production structure feature set includes:

[0016] Calculating a union of the structural features included in the first production structural feature set and the structural features included in the second production structural feature set to obtain a production structural feature set corresponding to the current production stage;

[0017] The number of structural features included in the production structural feature set corresponding to the current production stage is counted to obtain the number of production structural features corresponding to the current production stage.

[0018] In a possible implementation, the preset production quality monitoring model includes a first preset production quality monitoring model;

[0019] If the number of the production structure features meets the preset conditions, the production structure feature set corresponding to the current production stage is input into the preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage, including:

[0020] If the number of manufacturing structure features meets the preset conditions, it is determined whether the current manufacturing stage is a target manufacturing stage, wherein the target manufacturing stage is a manufacturing stage having measurement data corresponding to the target cable head;

[0021] If the current production stage is the target production stage, obtaining measurement data corresponding to the current production stage;

[0022] The measurement data and the set of production structure features corresponding to the current production stage are input into the first preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage.

[0023] In a possible implementation, the preset production quality monitoring model includes a second preset production quality monitoring model;

[0024] After determining whether the current production stage is the target production stage, it also includes:

[0025] If the current production stage is not the target production stage, obtaining production qualification information of the production personnel corresponding to the target cable head;

[0026] Determining the confidence of the production structure feature set corresponding to the current production stage according to the production qualification information;

[0027] The production structure feature set corresponding to the current production stage and the confidence level are input into the second preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage.

[0028] In a possible implementation, after detecting whether the number of manufacturing structure features in the current manufacturing stage meets a preset condition, the method further includes:

[0029] If the number of the manufacturing structural features does not meet the preset conditions, the manufacturing quality monitoring result of the target cable head is determined to be unqualified.

[0030] In a second aspect, an embodiment of the present invention provides a cable head manufacturing quality monitoring device, comprising:

[0031] An acquisition module, used for sequentially acquiring production video data of the target cable head at each production stage based on a preset time interval corresponding to each production stage of the target cable head;

[0032] The feature extraction module is used to extract features from the production video data of the current production stage for the production video data of each production stage, and obtain the production structure feature set and the number of production structure features corresponding to the current production stage;

[0033] A monitoring module is used to detect whether the number of the manufacturing structure features meets the preset conditions. If the number of the manufacturing structure features meets the preset conditions, the manufacturing structure feature set corresponding to the current manufacturing stage is input into a preset manufacturing quality monitoring model to obtain a manufacturing quality monitoring result corresponding to the current manufacturing stage;

[0034] The monitoring result determination module is used to determine the production quality monitoring result of the target cable head according to the production quality monitoring result corresponding to the current production stage.

[0035] In a possible implementation, the feature extraction module includes:

[0036] A first feature extraction unit, used for inputting the production video data of the current production stage into a first feature extraction model to obtain a first production structure feature set;

[0037] A second feature extraction unit, used for inputting the production video data of the current production stage into a second feature extraction model to obtain a second production structure feature set;

[0038] The extraction result acquisition unit is used to obtain the production structure feature set and the number of production structure features corresponding to the current production stage according to the first production structure feature set and the second production structure feature set.

[0039] In a third aspect, an embodiment of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the processor implements the steps of the method described in the first aspect or any possible implementation manner of the first aspect.

[0040] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method described in the first aspect or any possible implementation method of the first aspect are implemented.

[0041] The embodiment of the present invention provides a cable head production quality monitoring method, device, electronic device and storage medium, which obtains the production video data of the target cable head in each production stage in sequence based on the preset time interval corresponding to each production stage of the target cable head; then, for the production video data of each production stage, the production video data of the current production stage is subjected to feature extraction to obtain the production structure feature set and the number of production structure features corresponding to the current production stage; then, when the preset condition of the number of production structure features is detected, the production structure feature set corresponding to the current production stage is input into the preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage; and the production quality monitoring result of the target cable head is determined according to the production quality monitoring result corresponding to the current production stage. Based on the production video data of the target cable head in each production stage, the production quality of the target cable head can be initially detected according to the corresponding number of production structure features, and when the number of production structure features meets the preset condition, the production quality of the target cable head can be further detected according to the corresponding production structure feature set, which is conducive to quickly and accurately monitoring and controlling the production quality of the target cable head. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0043] Figure 1 It is a flow chart of the implementation of the cable head manufacturing quality monitoring method provided by the embodiment of the present invention;

[0044] Figure 2 It is a schematic diagram of the structure of a cable head manufacturing quality monitoring device provided by an embodiment of the present invention;

[0045] Figure 3 is a schematic diagram of the structure of a feature extraction module provided by an embodiment of the present invention;

[0046] Figure 4 is a schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0048] In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0049] See also Figure 1 , which shows a flow chart of the implementation of the cable head manufacturing quality monitoring method provided by an embodiment of the present invention, which is described in detail as follows:

[0050] In step 101, based on a preset time interval corresponding to each production stage of the target cable head, production video data of the target cable head at each production stage is obtained in sequence.

[0051] Among them, according to the different voltage resistance levels and production processes of the cable head to be produced (i.e., the target cable head), the production process of the cable head can be divided into different production stages. For example, for the cable heat shrink terminal head, it can include cable testing, stripping of the outer sheath, stripping of the armor, stripping of the inner cushion layer, splitting the core wires, welding the ground wires, wrapping with hot melt tape and other production stages. According to the requirements of each production stage, the preset time interval corresponding to each production stage can be determined.

[0052] After determining the preset time interval corresponding to each production stage of the target cable head, the production video data of the target cable head at each production stage can be acquired in sequence according to the production sequence of the target cable head.

[0053] In step 102, for the production video data of each production stage, feature extraction is performed on the production video data of the current production stage to obtain a production structure feature set and a number of production structure features corresponding to the current production stage.

[0054] Among them, for different production stages, the actions to be performed in making the cable head are different, and the structural features obtained after production are also different. For example, for the production stage of stripping the armor, it is necessary to measure 30mm of armor from the fracture of the outer sheath toward the stripped section and tie it with copper wire three times. The remaining stripped section is stripped of armor, which corresponds to the two structural features of armor retention and copper wire binding. When extracting features from the production video data of this production stage, these two structural features can be extracted to obtain a set of production structural features, and the number of production structural features can be obtained based on whether the corresponding structural features are extracted.

[0055] In particular, for different production stages, the extracted structural features may be different, and the number of extracted structural features may also be different.

[0056] In step 103, it is detected whether the number of production structure features meets the preset conditions. If the number of production structure features meets the preset conditions, the production structure feature set corresponding to the current production stage is input into the preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage.

[0057] Among them, for a certain production stage of the cable head, if the production is to be completed according to the production quality standard, it is necessary to extract the structural features corresponding to each production action. If the structural features corresponding to each production action are not extracted, that is, the number of production structural features obtained by feature extraction according to step 102 does not meet the preset conditions, it indicates that the production quality of the target cable head at the current production stage is likely to be unqualified. If the structural features corresponding to each production action are extracted, the extracted structural features (i.e., the production structural feature set) can be further tested to determine whether each structural feature meets the established standards, and then determine whether the production quality of the current production stage is qualified.

[0058] Specifically, the production quality monitoring result corresponding to the current production stage can be obtained by inputting the production structure feature set corresponding to the current production stage into a preset production quality monitoring model.

[0059] In step 104, the manufacturing quality monitoring result of the target cable head is determined according to the manufacturing quality monitoring result corresponding to each manufacturing stage.

[0060] Among them, according to the above steps 101 to 103, the production quality monitoring results corresponding to each production stage can be obtained in turn. If the production quality monitoring results corresponding to each production stage are qualified, it means that the production quality monitoring result of the target cable head is qualified. If there is a production stage whose corresponding production quality monitoring result is unqualified, it means that the production quality monitoring result of the target cable head is unqualified.

[0061] The embodiment of the present invention obtains the production video data of the target cable head in each production stage in sequence based on the preset time interval corresponding to each production stage of the target cable head; then, for the production video data of each production stage, the production video data of the current production stage is subjected to feature extraction to obtain the production structure feature set and the number of production structure features corresponding to the current production stage; then, when the preset condition of the number of production structure features is detected, the production structure feature set corresponding to the current production stage is input into the preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage; and the production quality monitoring result of the target cable head is determined according to the production quality monitoring result corresponding to the current production stage. Based on the production video data of the target cable head in each production stage, the production quality of the target cable head can be initially detected according to the corresponding number of production structure features, and when the number of production structure features meets the preset condition, the production quality of the target cable head can be further detected according to the corresponding production structure feature set, which is conducive to quickly and accurately monitoring and controlling the production quality of the target cable head.

[0062] In a possible implementation, feature extraction is performed on production video data of the current production stage to obtain a production structure feature set and a number of production structure features corresponding to the current production stage, including:

[0063] The production video data of the current production stage is input into the first feature extraction model to obtain a first production structure feature set.

[0064] The production video data of the current production stage is input into the second feature extraction model to obtain a second production structure feature set.

[0065] According to the first production structure feature set and the second production structure feature set, a production structure feature set and a number of production structure features corresponding to the current production stage are obtained.

[0066] In this embodiment, in order to make the obtained production structure feature set and production structure feature quantity corresponding to the current production stage more accurate, the production structure features extracted by the two feature extraction models can be combined to determine the production structure feature set and production structure feature quantity corresponding to the current production stage.

[0067] In a possible implementation, obtaining a production structure feature set and a number of production structure features corresponding to a current production stage according to the first production structure feature set and the second production structure feature set includes:

[0068] The structural features included in the first production structural feature set and the structural features included in the second production structural feature set are combined to obtain a production structural feature set corresponding to the current production stage.

[0069] The number of structural features included in the production structural feature set corresponding to the current production stage is counted to obtain the number of production structural features corresponding to the current production stage.

[0070] In this embodiment, if only one feature extraction model is used to extract features from the production video data of the current production stage, the extracted production structure feature set may miss certain structural features. In this embodiment, the first production structure feature set and the second production structure feature set extracted by the two feature extraction models are combined to avoid feature omissions and improve the accuracy of feature extraction.

[0071] In a possible implementation, the preset production quality monitoring model includes a first preset production quality monitoring model. If the number of production structure features meets the preset conditions, the production structure feature set corresponding to the current production stage is input into the preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage, including:

[0072] If the number of manufacturing structure features meets the preset conditions, it is determined whether the current manufacturing stage is a target manufacturing stage, and the target manufacturing stage is a manufacturing stage having measurement data corresponding to the target cable head.

[0073] If the current production stage is the target production stage, the measurement data corresponding to the current production stage is obtained.

[0074] The measurement data and the set of production structure features corresponding to the current production stage are input into the first preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage.

[0075] In this embodiment, in various manufacturing stages of the cable head, corresponding electrical performance data can be measured before and after manufacturing in some manufacturing stages. For example, in the welding ground wire manufacturing stage, the cable insulation value can be measured before and after welding, and whether the welding is qualified can be judged based on the measured cable insulation value. Therefore, for these manufacturing stages where electrical performance measurement data before and after manufacturing can be obtained, the corresponding measurement data and the manufacturing structure feature set can be combined to perform manufacturing quality monitoring.

[0076] In a possible implementation, the preset production quality monitoring model includes a second preset production quality monitoring model. After determining whether the current production stage is the target production stage, the method further includes:

[0077] If the current production stage is not the target production stage, the production qualification information of the production personnel corresponding to the target cable head is obtained.

[0078] The confidence level of the production structure feature set corresponding to the current production stage is determined according to the production qualification information.

[0079] The production structure feature set and confidence level corresponding to the current production stage are input into the second preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage.

[0080] In this embodiment, if the current production stage is not the target production stage, that is, the current production stage does not have corresponding measurement data to assist in judging its production quality, then the production qualification information of the production personnel corresponding to the target cable head can be obtained, such as professional certificate, years of experience and other information. If the corresponding production personnel has a professional certificate and the longer the years of experience, the higher the possibility that the cable head produced by the production personnel is of qualified quality. Therefore, the confidence of the production structure feature set corresponding to the current production stage can be determined based on the production qualification information of the production personnel, and the production structure feature set and confidence corresponding to the current production stage are input into the preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage.

[0081] Among them, the first preset production quality monitoring model and the second preset production quality monitoring model can both be neural network models, and different preset production quality monitoring models can be selected by judging whether the current production stage is the target production stage.

[0082] In a possible implementation, after detecting whether the number of manufacturing structure features in the current manufacturing stage meets a preset condition, the method further includes:

[0083] If the number of manufacturing structural features does not meet the preset conditions, the manufacturing quality monitoring result of the target cable head is determined to be unqualified.

[0084] In this embodiment, the manufacturing quality of the target cable head is preliminarily detected by the number of manufacturing structure features in the current manufacturing stage, so that the cable head with unqualified manufacturing quality can be quickly identified.

[0085] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0086] The following is an embodiment of the device of the present invention. For details not described in detail therein, reference may be made to the corresponding method embodiment described above.

[0087] Figure 2 The structure diagram of the cable head manufacturing quality monitoring device provided by the embodiment of the present invention is shown. For the convenience of description, only the part related to the embodiment of the present invention is shown, which is described in detail as follows:

[0088] like Figure 2 As shown, the cable head manufacturing quality monitoring device 2 includes: an acquisition module 21, a feature extraction module 22, a monitoring module 23 and a monitoring result determination module 24.

[0089] An acquisition module 21, configured to sequentially acquire production video data of the target cable head at each production stage based on a preset time interval corresponding to each production stage of the target cable head;

[0090] The feature extraction module 22 is used to extract features from the production video data of the current production stage for the production video data of each production stage, and obtain the production structure feature set and the number of production structure features corresponding to the current production stage;

[0091] The monitoring module 23 is used to detect whether the number of the manufacturing structure features meets the preset conditions. If the number of the manufacturing structure features meets the preset conditions, the manufacturing structure feature set corresponding to the current manufacturing stage is input into a preset manufacturing quality monitoring model to obtain the manufacturing quality monitoring result corresponding to the current manufacturing stage;

[0092] The monitoring result determination module 24 is used to determine the production quality monitoring result of the target cable head according to the production quality monitoring result corresponding to the current production stage.

[0093] The embodiment of the present invention obtains the production video data of the target cable head in each production stage in sequence based on the preset time interval corresponding to each production stage of the target cable head; then, for the production video data of each production stage, the production video data of the current production stage is subjected to feature extraction to obtain the production structure feature set and the number of production structure features corresponding to the current production stage; then, when the preset condition of the number of production structure features is detected, the production structure feature set corresponding to the current production stage is input into the preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage; and the production quality monitoring result of the target cable head is determined according to the production quality monitoring result corresponding to the current production stage. Based on the production video data of the target cable head in each production stage, the production quality of the target cable head can be initially detected according to the corresponding number of production structure features, and when the number of production structure features meets the preset condition, the production quality of the target cable head can be further detected according to the corresponding production structure feature set, which is conducive to quickly and accurately monitoring and controlling the production quality of the target cable head.

[0094] In one possible implementation, see Figure 3 The feature extraction module 22 includes: a first feature extraction unit 221, a second feature extraction unit 222 and an extraction result acquisition unit 223.

[0095] A first feature extraction unit 221, used to input the production video data of the current production stage into a first feature extraction model to obtain a first production structure feature set;

[0096] A second feature extraction unit 222, used to input the production video data of the current production stage into a second feature extraction model to obtain a second production structure feature set;

[0097] The extraction result acquisition unit 223 is used to obtain the production structure feature set and the number of production structure features corresponding to the current production stage according to the first production structure feature set and the second production structure feature set.

[0098] In a possible implementation, the extraction result acquisition unit 223 can be used to calculate the union of the structural features included in the first production structural feature set and the structural features included in the second production structural feature set to obtain a production structural feature set corresponding to the current production stage; and count the number of structural features included in the production structural feature set corresponding to the current production stage to obtain the number of production structural features corresponding to the current production stage.

[0099] In a possible implementation, the preset production quality monitoring model includes a first preset production quality monitoring model; the monitoring module 23 can be used to determine whether the current production stage is the target production stage if the number of production structure features meets the preset conditions, and the target production stage is the production stage having the measurement data corresponding to the target cable head; if the current production stage is the target production stage, the measurement data corresponding to the current production stage is obtained; the measurement data and the production structure feature set corresponding to the current production stage are input into the first preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage.

[0100] In one possible implementation, the preset production quality monitoring model includes a second preset production quality monitoring model; the monitoring module 23 can also be used to obtain the production qualification information of the production personnel corresponding to the target cable head if the current production stage is not the target production stage; determine the confidence of the production structure feature set corresponding to the current production stage according to the production qualification information; input the production structure feature set corresponding to the current production stage and the confidence into the second preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage.

[0101] In a possible implementation, the monitoring module 23 may also be used to determine that the manufacturing quality monitoring result of the target cable head is unqualified if the number of the manufacturing structure features does not meet a preset condition.

[0102] Figure 4 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 4 As shown, the electronic device 4 of this embodiment includes: a processor 40, a memory 41, and a computer program 42 stored in the memory 41 and executable on the processor 40. When the processor 40 executes the computer program 42, the steps in the above-mentioned various cable head manufacturing quality monitoring method embodiments are implemented, such as Figure 1 Alternatively, when the processor 40 executes the computer program 42, the functions of each module / unit in the above-mentioned device embodiments are realized, for example, Figure 2 The functions of the modules 21 to 24 shown, or Figure 3 The functions of units 221 to 223 are shown.

[0103] Exemplarily, the computer program 42 may be divided into one or more modules / units, which are stored in the memory 41 and executed by the processor 40 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program 42 in the electronic device 4. For example, the computer program 42 may be divided into Figure 2 Modules 21 to 24 shown, or Figure 3 Units 221 to 223 are shown.

[0104] The electronic device 4 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The electronic device 4 may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will appreciate that Figure 4 It is only an example of the electronic device 4 and does not constitute a limitation of the electronic device 4. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0105] The processor 40 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0106] The memory 41 may be an internal storage unit of the electronic device 4, such as a hard disk or memory of the electronic device 4. The memory 41 may also be an external storage device of the electronic device 4, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the electronic device 4. The memory 41 is used to store the computer program and other programs and data required by the electronic device. The memory 41 may also be used to temporarily store data that has been output or is to be output.

[0107] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0108] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0109] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0110] In the embodiments provided by the present invention, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0111] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0112] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0113] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various cable head production quality monitoring method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practices in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practices, computer-readable media does not include electrical carrier signals and telecommunication signals.

[0114] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for monitoring the production quality of a cable head, characterized in that: include: Based on the preset time interval corresponding to each production stage of the target cable head, sequentially obtaining the production video data of the target cable head at each production stage; For the production video data of each production stage, feature extraction is performed on the production video data of the current production stage to obtain a production structure feature set and a number of production structure features corresponding to the current production stage; Detecting whether the number of the manufacturing structure features meets the preset conditions. If the number of the manufacturing structure features meets the preset conditions, inputting the manufacturing structure feature set corresponding to the current manufacturing stage into a preset manufacturing quality monitoring model to obtain the manufacturing quality monitoring result corresponding to the current manufacturing stage; The production quality monitoring result of the target cable head is determined according to the production quality monitoring result corresponding to each production stage.

2. The cable head manufacturing quality monitoring method according to claim 1, characterized in that: The feature extraction of the production video data of the current production stage to obtain the production structure feature set and the number of production structure features corresponding to the current production stage includes: Inputting the production video data of the current production stage into a first feature extraction model to obtain a first production structure feature set; Inputting the production video data of the current production stage into the second feature extraction model to obtain a second production structure feature set; According to the first production structure feature set and the second production structure feature set, a production structure feature set and a number of production structure features corresponding to the current production stage are obtained.

3. The cable head manufacturing quality monitoring method according to claim 2, characterized in that: The obtaining, according to the first production structure feature set and the second production structure feature set, a production structure feature set and a number of production structure features corresponding to the current production stage comprises: Calculating a union of the structural features included in the first production structural feature set and the structural features included in the second production structural feature set to obtain a production structural feature set corresponding to the current production stage; The number of structural features included in the production structural feature set corresponding to the current production stage is counted to obtain the number of production structural features corresponding to the current production stage.

4. The cable head manufacturing quality monitoring method according to claim 1, characterized in that: The preset production quality monitoring model includes a first preset production quality monitoring model; If the number of the production structure features meets the preset conditions, the production structure feature set corresponding to the current production stage is input into the preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage, including: If the number of manufacturing structure features meets the preset conditions, it is determined whether the current manufacturing stage is a target manufacturing stage, wherein the target manufacturing stage is a manufacturing stage having measurement data corresponding to the target cable head; If the current production stage is the target production stage, obtaining measurement data corresponding to the current production stage; The measurement data and the set of production structure features corresponding to the current production stage are input into the first preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage.

5. The cable head manufacturing quality monitoring method according to claim 4, characterized in that: The preset production quality monitoring model includes a second preset production quality monitoring model; After determining whether the current production stage is the target production stage, it also includes: If the current production stage is not the target production stage, obtaining production qualification information of the production personnel corresponding to the target cable head; Determining the confidence of the production structure feature set corresponding to the current production stage according to the production qualification information; The production structure feature set corresponding to the current production stage and the confidence level are input into the second preset production quality monitoring model to obtain the production quality monitoring result corresponding to the current production stage.

6. The cable head manufacturing quality monitoring method according to any one of claims 1 to 5, characterized in that: After detecting whether the number of fabrication structure features in the current fabrication stage meets the preset conditions, it also includes: If the number of the manufacturing structural features does not meet the preset conditions, the manufacturing quality monitoring result of the target cable head is determined to be unqualified.

7. A cable head manufacturing quality monitoring device, characterized in that: include: An acquisition module, used for sequentially acquiring production video data of the target cable head at each production stage based on a preset time interval corresponding to each production stage of the target cable head; The feature extraction module is used to extract features from the production video data of the current production stage for the production video data of each production stage, and obtain the production structure feature set and the number of production structure features corresponding to the current production stage; A monitoring module is used to detect whether the number of the manufacturing structure features meets the preset conditions. If the number of the manufacturing structure features meets the preset conditions, the manufacturing structure feature set corresponding to the current manufacturing stage is input into a preset manufacturing quality monitoring model to obtain a manufacturing quality monitoring result corresponding to the current manufacturing stage; The monitoring result determination module is used to determine the production quality monitoring result of the target cable head according to the production quality monitoring result corresponding to the current production stage.

8. The device according to claim 7, characterized in that The feature extraction module comprises: A first feature extraction unit, used for inputting the production video data of the current production stage into a first feature extraction model to obtain a first production structure feature set; A second feature extraction unit, used for inputting the production video data of the current production stage into a second feature extraction model to obtain a second production structure feature set; The extraction result acquisition unit is used to obtain the production structure feature set and the number of production structure features corresponding to the current production stage according to the first production structure feature set and the second production structure feature set.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

Images