CN114488979A - Detection method, detection device, electronic equipment and storage medium - Google Patents
Detection method, detection device, electronic equipment and storage medium Download PDFInfo
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- CN114488979A CN114488979A CN202210069763.6A CN202210069763A CN114488979A CN 114488979 A CN114488979 A CN 114488979A CN 202210069763 A CN202210069763 A CN 202210069763A CN 114488979 A CN114488979 A CN 114488979A
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- 238000001514 detection method Methods 0.000 title claims abstract description 54
- 238000004519 manufacturing process Methods 0.000 claims abstract description 99
- 238000000034 method Methods 0.000 claims description 42
- 230000008859 change Effects 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 7
- 230000008569 process Effects 0.000 description 8
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- 238000010586 diagram Methods 0.000 description 5
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- 238000005859 coupling reaction Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000012550 audit Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005187 foaming Methods 0.000 description 1
- 238000001746 injection moulding Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
According to the detection method, the detection device, the electronic equipment and the storage medium, first parameter information of a production line body is obtained, and second parameter information of the equipment is obtained, wherein the production line body is used for producing the equipment; and detecting the matching degree of the production line body and the equipment based on the first parameter information and the second parameter information, and rapidly determining whether the production line body is matched or not, so that the determination efficiency of the production line body is improved.
Description
Technical Field
The present application relates to the field of detection technologies, and in particular, to a detection method, an apparatus, an electronic device, and a storage medium.
Background
After the concept of "industrial internet" is proposed, various manufacturing industries are turning to digital factories. However, the alignment of the refrigerator products mainly depends on the experience of old staff, the functions of the ordinary staff in the process are limited, the old staff may be considered incompletely, missing identification is easy to occur on key points of the alignment, the manual alignment method is slow in progress, low in efficiency and long in alignment period, and the project progress is seriously influenced when the alignment is wrong.
Disclosure of Invention
The present application provides a detection method, an apparatus, an electronic device, and a storage medium for solving the above-mentioned problems in the related art, by obtaining first parameter information of a production line used for producing the device and obtaining second parameter information of the device; and detecting the matching degree of the production line body and the equipment based on the first parameter information and the second parameter information, and rapidly determining whether the production line body is matched or not, so that the determination efficiency of the production line body is improved.
The application provides a detection method, which comprises the following steps:
acquiring first parameter information of a production line body and second parameter information of equipment, wherein the production line body is used for producing the equipment;
and detecting the matching degree of the production line body and the equipment based on the first parameter information and the second parameter information.
In some embodiments, the first parameter information comprises: a threshold value of each parameter, where the matching degree detection of the production line body and the equipment based on the first parameter information and the second parameter information includes:
determining that the production line body and the equipment are matched under the condition that each parameter in the second parameter information is within a threshold value of each corresponding parameter;
the method further comprises the following steps:
determining the production line body as a target production line body under the condition that the production line body is matched with the equipment;
and sending the target production line body to a user.
In some embodiments, the method further comprises:
and under the condition of the acquired change information of the parameters of the target production line body, updating the first parameter information based on the change information.
In some embodiments, the matching detection of the production line body and the apparatus based on the first parameter information and the second parameter information further comprises:
determining that the generating line body is not matched with the equipment under the condition that at least one parameter of the parameters in the second parameter information is not within a threshold value of each corresponding parameter;
the method further comprises the following steps:
and sending the prompt information that the generated line bodies are not matched to a user.
In some embodiments, the method further comprises:
determining target parameters of which the parameters in the second parameter information are not within corresponding parameter thresholds, and marking the target parameters in the second parameters to obtain marked parameter information;
and sending the marking parameter information to the user.
In some embodiments, where the production line body is multiple, the method further comprises:
determining the number of target parameters of each production line body;
determining the finishing difficulty degree value of each production line body based on the number of the target parameters of each production line body;
and sending the production line body corresponding to the minimum difficulty degree value to the user.
In some embodiments, the apparatus is a refrigerator, the first parameter information includes a threshold value of a size, and the second parameter information includes a size.
An embodiment of the present application provides an image processing apparatus, including:
the device comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring first parameter information of a production line body and acquiring second parameter information of equipment, and the production line body is used for producing the equipment;
the detection module is used for detecting the matching degree of the production line body and the equipment based on the first parameter information and the second parameter information.
An embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the electronic device executes any one of the detection methods described above.
The embodiment of the present application provides a storage medium, which stores a computer program, which can be executed by one or more processors, and can be used to implement any one of the detection methods described above.
According to the detection method, the detection device, the electronic equipment and the storage medium, first parameter information of a production line body is obtained, and second parameter information of the equipment is obtained, wherein the production line body is used for producing the equipment; and detecting the matching degree of the production line body and the equipment based on the first parameter information and the second parameter information, and rapidly determining whether the production line body is matched or not, so that the determination efficiency of the production line body is improved.
Drawings
The present application will be described in more detail below on the basis of embodiments and with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart illustrating an implementation of a detection method according to an embodiment of the present application;
fig. 2 is a schematic implementation flowchart of another detection method provided in the embodiment of the present application;
fig. 3 is a schematic structural diagram of a detection apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a component of an electronic device according to an embodiment of the present application.
In the drawings, like parts are designated with like reference numerals, and the drawings are not drawn to scale.
Detailed Description
In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be described in further detail with reference to the attached drawings, the described embodiments should not be considered as limiting the present application, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.
The following description will be added if a similar description of "first \ second \ third" appears in the application file, and in the following description, the terms "first \ second \ third" merely distinguish similar objects and do not represent a specific ordering for the objects, and it should be understood that "first \ second \ third" may be interchanged under certain circumstances in a specific order or sequence, so that the embodiments of the application described herein can be implemented in an order other than that shown or described herein.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the application.
Based on the problems in the related art, the embodiments of the present application provide a detection method, which is applied to an electronic device, where the electronic device may be a mobile terminal, a computer, or the like. The functions realized by the detection method provided by the embodiment of the application can be realized by calling a program code by a processor of the electronic equipment, wherein the program code can be stored in a computer storage medium.
An embodiment of the present application provides a detection method, and fig. 1 is a schematic diagram illustrating an implementation flow of the detection method provided in the embodiment of the present application, and as shown in fig. 1, the method includes:
step S1, acquiring first parameter information of a production line body and acquiring second parameter information of equipment, wherein the production line body is used for producing the equipment.
In the embodiment of the application, the first parameter information of the production line body can be acquired through input of an external storage device, and the second parameter information of the device can also be acquired, wherein the external storage device can be a U disk, a mechanical hard disk and the like; the first parameter information of the production line body can also be obtained in a network receiving manner, and the second parameter information of the equipment can also be obtained, such as the internet and a local area network; or may be obtained by reading local data, etc. The production line body may be a production line for producing a refrigerator, and the first parameter information includes: thresholds for various parameters, in some embodiments, the first parameter may further include: the device comprises a base of the line body, a workshop of the line body, the type of the line body, a refrigerator series of a main refrigerator, a line body block and line body parameters, wherein the device can be a refrigerator, an air conditioner, a computer and the like. The second parameter information may include: product model, project number, finished product code, product series, platform, product parameter.
Step S2, detecting a matching degree between the production line body and the equipment based on the first parameter information and the second parameter information.
In the embodiment of the present application, the first parameter information and the second parameter information may be compared to perform the matching degree detection, and for example, in the case that the first parameter includes the threshold value of each parameter, whether the second parameter information is within the threshold value corresponding to each parameter may be compared to perform the matching degree detection.
In an embodiment of the present application, when each parameter in the second parameter information is within a threshold of a corresponding parameter, it is determined that the production line body and the device are matched. Determining that the generating line body is not matched with the equipment under the condition that at least one parameter in the second parameter information is not within the threshold value of each corresponding parameter.
According to the detection method provided by the embodiment of the application, first parameter information of a production line body is obtained, and second parameter information of equipment is obtained, wherein the production line body is used for producing the equipment; and detecting the matching degree of the production line body and the equipment based on the first parameter information and the second parameter information, and rapidly determining whether the production line body is matched or not, so that the determination efficiency of the production line body is improved.
In some embodiments, the first parameter information comprises: the step S2 includes:
step S21, determining that the production line body and the equipment are matched when each parameter in the second parameter information is within a threshold value of the corresponding parameter.
The method further comprises the following steps:
step S22, determining the production line body as a target production line body under the condition that the production line body is matched with the equipment;
and step S23, sending the target production line body to a user.
In the embodiment of the application, the user can be a set administrator and can be sent to the user in a mode of mail, short message and the like.
In some embodiments, after step S23, the method further comprises:
step S24, in the case of the acquired change information of the parameter of the target production line body, updating the first parameter information based on the change information.
In some embodiments, step S2 may further include:
step S31, determining that the generating wire body and the device are not matched when at least one parameter in the second parameter information is not within a threshold of each corresponding parameter;
the method further comprises the following steps:
and step S32, sending the prompt information that the generated line bodies are not matched to a user.
In the embodiment of the application, the prompt message can be sent to the user in the modes of mails, short messages and the like.
In some embodiments, after step S32, the method further comprises:
step S33, determining target parameters in the second parameter information that are not within the corresponding parameter thresholds, and labeling the target parameters in the second parameter information to obtain labeled parameter information.
Step S34, sending the tagged parameter information to the user.
In the embodiment of the application, the marking parameter information and the prompt information can be simultaneously sent to the user.
In some embodiments, after step S32, the method further comprises:
step S35, determining the number of target parameters of each production line body;
step S36, determining a finishing difficulty/ease value of each production line body based on the number of target parameters of each production line body.
In the embodiment of the application, if the number of the target parameters is large, the difficulty level value of the rectification is large, and if the number of the target parameters is small, the difficulty level value of the rectification is small.
And step S37, sending the production line body corresponding to the minimum difficulty level value to the user.
In the embodiment of the application, the production line body corresponding to the minimum difficulty degree value is sent to a user, so that the user can correct the production line body.
In some embodiments, the apparatus comprises a refrigerator, the first parameter information comprises a threshold value of a size, and the second parameter information comprises a size.
Based on the foregoing embodiments, an embodiment of the present application further provides a detection method, and fig. 2 is a detection method provided in the embodiment of the present application, and as shown in fig. 2, the method includes:
and step S101, maintaining the line body information.
A user maintains related information (a base of a line body, a workshop to which the line body belongs, a line body type, a refrigerator series of a main refrigerator, a line body plate block and a line body parameter) of a refrigerator production line body in a database, binds the line body parameter with a product parameter, and determines a judgment mode of each line body parameter so as to ensure validity of line body data and accuracy of a line body matching result.
Step S102, a routing task is created.
The user creates a product alignment task of the refrigerator, fills relevant information and relevant responsible persons of the refrigerator product and selects a corresponding production line body needing to be checked.
The product-related information includes: product model, project number, finished product code, product series, platform, product parameter.
And step S103, checking the line body and the product data.
In the embodiment of the application, if the data is wrong. Step S104 is performed, and step S105 is performed if the data is correct.
The system matches the line body data and the product data selected by the user, and feeds back the data and the matching result to the relevant responsible person for auditing, so as to ensure the actual matching condition. If the data is wrong, the relevant responsible person corrects the data and then audits the data. And if the data is correct, perfecting the point inspection item and other problem items, and submitting the perfected point inspection item and other problem items to the system. The system compares the product data submitted by the user with the corresponding line body data in the database to obtain which product parameters of the product meet the production requirements and which do not meet the production requirements.
And step S104, correcting the data of the line body and the product.
After step S104, execution proceeds to step S103.
And step S105, summarizing the line body investigation data.
And step S106, submitting a routing conclusion.
And step S107, rectifying and tracking the condition of the body.
The user can check the conditions that the line body is used for producing the refrigerator and the unsatisfied items and the satisfied items, so that the user can preliminarily determine the transformation point of the production line and the undetermined line body and inform the related responsible persons by mails, organize an offline meeting and discuss a specific line body rectification scheme. The user is under the conference discussion to finally determine the line body rectification scheme, fill in the related rectification information and rectification responsible person, submit to the system, the system will inform the related responsible person to carry out the line body rectification
And step S108, finishing rectification and feeding back the system.
And the related responsible person tracks the actual line body rectification condition and feeds the latest rectification information back to the system in real time, and the system updates the latest line body data so as to ensure the validity of the data.
In the embodiment of the application, the parameter configuration method of the production line body is as follows:
first, a production line body to be investigated is selected.
Second, select the type of plate that this thread body needs to be configured. (the type of the block comprises a new product, a general assembly, injection molding, sheet metal, two machines, plastic uptake and foaming.)
Thirdly, detailed line body parameter information is configured in the block: parameter attribute, belonging equipment, product parameter, discrimination mode, unit and line body parameter
The storage is successful, and the configuration is effective in real time.
Based on the foregoing embodiments, the embodiments of the present application provide a detection apparatus, where each module included in the apparatus and each unit included in each module may be implemented by a processor in a computer device; of course, the implementation can also be realized through a specific logic circuit; in the implementation process, the processor may be a Central Processing Unit (CPU), a Microprocessor Unit (MPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), or the like.
An embodiment of the present application provides a detection apparatus, and fig. 3 is a schematic structural diagram of the detection apparatus provided in the embodiment of the present application, and as shown in fig. 3, the detection apparatus 300 includes:
an obtaining module 301, configured to obtain first parameter information of a production line body, and obtain second parameter information of a device, where the production line body is used to produce the device;
a detecting module 302, configured to perform matching degree detection on the production line body and the equipment based on the first parameter information and the second parameter information.
In some embodiments, the first parameter information comprises: threshold values for the respective parameters, the detection module 302 includes:
a first detection unit, configured to determine that the production line body matches the equipment when each parameter in the second parameter information is within a threshold of a corresponding parameter;
the detection apparatus 300 further includes:
the first determining module is used for determining that the production line body is a target production line body under the condition that the production line body is matched with the equipment;
and the first sending module is used for sending the target production line body to a user.
In some embodiments, the detection apparatus 300 further comprises:
and the updating module is used for updating the first parameter information based on the change information under the condition of the acquired change information of the parameters of the target production line body.
In some embodiments, the detection module 302 includes:
a second detection module, configured to determine that the generating line body and the device are not matched when at least one parameter of the parameters in the second parameter information is not within a threshold of each corresponding parameter;
the detection apparatus 300 further includes:
and the second sending module is used for sending the prompt information that the generated line bodies are not matched to a user.
In some embodiments, the detection apparatus 300 further comprises:
a second determining module, configured to determine a target parameter of the second parameter information, where the parameter is not within the corresponding parameter threshold, and mark the target parameter of the second parameter to obtain marked parameter information;
and the third sending module is used for sending the marking parameter information to the user.
In some embodiments, in the case where the production line body is plural, the inspection device further comprises:
the third determining module is used for determining the number of target parameters of each production line body;
the fourth determining module is used for determining the finishing difficulty degree value of each production line body based on the number of the target parameters of each production line body;
and the third sending module is used for sending the production line body corresponding to the minimum difficulty degree value to the user.
In some embodiments, the apparatus is a refrigerator, the first parameter information includes a threshold value of a size, and the second parameter information includes a size.
It should be noted that, in the embodiment of the present application, if the detection method is implemented in the form of a software functional module and sold or used as a standalone product, the detection method may also be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially implemented or portions thereof contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, or an optical disk. Thus, embodiments of the present application are not limited to any specific combination of hardware and software.
Accordingly, an embodiment of the present application provides a storage medium, on which a computer program is stored, wherein the computer program is implemented to implement the steps in the detection method provided in the foregoing embodiment when executed by a processor.
The embodiment of the application provides an electronic device; fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application, and as shown in fig. 4, the electronic device 400 includes: a processor 401, at least one communication bus 402, a user interface 403, at least one external communication interface 404, a memory 405. Wherein the communication bus 402 is configured to enable connective communication between these components. The user interface 403 may include a display screen, and the external communication interface 404 may include a standard wired interface and a wireless interface, among others. The processor 401 is configured to execute the programs of the detection methods stored in the memory to implement the steps in the detection methods provided in the above embodiments.
Here, it should be noted that: the above description of the storage medium and the electronic device embodiments is similar to the description of the method embodiments described above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and apparatus of the present application, reference is made to the description of the embodiments of the method of the present application for understanding.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application. The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, object, or apparatus that comprises the element.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.
Alternatively, the integrated units described above in the present application may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present application may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a controller to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
The above description is only for the embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method of detection, comprising:
acquiring first parameter information of a production line body and second parameter information of equipment, wherein the production line body is used for producing the equipment;
and detecting the matching degree of the production line body and the equipment based on the first parameter information and the second parameter information.
2. The method of claim 1, wherein the first parameter information comprises: a threshold value of each parameter, where the matching degree detection of the production line body and the equipment based on the first parameter information and the second parameter information includes:
determining that the production line body and the equipment are matched under the condition that each parameter in the second parameter information is within a threshold value of each corresponding parameter;
the method further comprises the following steps:
determining the production line body to be a target production line body under the condition that the production line body is matched with the equipment;
and sending the target production line body to a user.
3. The method of claim 2, further comprising:
and under the condition of the acquired change information of the parameters of the target production line body, updating the first parameter information based on the change information.
4. The method of claim 2, wherein the match detection of the production line body and the equipment based on the first parameter information and the second parameter information further comprises:
determining that the generating line body is not matched with the equipment under the condition that at least one parameter of the parameters in the second parameter information is not within a threshold value of each corresponding parameter;
the method further comprises the following steps:
and sending the prompt information that the generated line bodies are not matched to a user.
5. The method of claim 4, further comprising:
determining target parameters of which the parameters in the second parameter information are not within corresponding parameter thresholds, and marking the target parameters in the second parameters to obtain marked parameter information;
and sending the marking parameter information to the user.
6. The method according to claim 5, characterized in that, in the case of a plurality of production line bodies, it further comprises:
determining the number of target parameters of each production line body;
determining the finishing difficulty degree value of each production line body based on the number of the target parameters of each production line body;
and sending the production line body corresponding to the minimum difficulty degree value to the user.
7. The method according to any one of claims 1 to 6, wherein the apparatus is a refrigerator, the first parameter information includes a threshold value of a size, and the second parameter information includes a size.
8. A detection device, comprising:
the device comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring first parameter information of a production line body and acquiring second parameter information of equipment, and the production line body is used for producing the equipment;
the detection module is used for detecting the matching degree of the production line body and the equipment based on the first parameter information and the second parameter information.
9. An electronic device, comprising:
a memory having stored thereon a computer program which, when executed by the processor, performs the detection method of any one of claims 1 to 7.
10. A storage medium storing a computer program executable by one or more processors and operable to implement the detection method of any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210069763.6A CN114488979A (en) | 2022-01-21 | 2022-01-21 | Detection method, detection device, electronic equipment and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210069763.6A CN114488979A (en) | 2022-01-21 | 2022-01-21 | Detection method, detection device, electronic equipment and storage medium |
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| CN114488979A true CN114488979A (en) | 2022-05-13 |
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