CN114741358B - Component parameter detection method, device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to a component parameter detection method, a device, a computer device, a storage medium and a computer program product, wherein the method comprises the following steps: acquiring all files corresponding to the models of all the parts to be detected, and determining target files in all the files according to the file name of each file; judging whether the part number of the part to be detected is consistent with the file name of any target file or not for the part to be detected corresponding to any target file, and if so, determining a parameter detection result of the part to be detected according to all parameters; if the parameters are inconsistent, the parameter detection result of the part to be detected is abnormal. The parameters of the parts to be detected are obtained by automatically obtaining the two-dimensional and three-dimensional data of the parts to be detected, all the parameters are automatically detected by a set program, manual file-by-file detection is avoided, the parameter detection time of the parts to be detected is saved, the final part parameter detection result is given, and the quality of drawings of all the parts to be detected is improved.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to a method and apparatus for detecting parameters of a component, a computer device, a storage medium, and a computer program product.
Background
Part numbers are independent and unique numbers that are programmed for each part, component, or accessory by the manufacturer for ease of part identification and management. Creo is a piece of software frequently used in engineering design, and after engineering research and development are completed by using Creo, the part number of each part needs to be checked, and whether the part number is in accordance with the part number specification of an enterprise or whether the part number is consistent with a file name is detected. Because the types and the number of the related parts are various in the automobile research and development production process, each model in Creo needs to be opened one by using a traditional artificial verification mode, and the parameters of the parts are acquired for verification, so that the time consumption is long and omission is easy.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a component parameter detection method, apparatus, computer device, computer-readable storage medium, and computer program product that are capable of being fast and flexible.
In a first aspect, the present application provides a method for detecting parameters of a component. The method comprises the following steps:
Acquiring all files corresponding to the models of all the parts to be detected, and determining target files in all the files according to the file name of each file; each file corresponds to a different part, each file is used for storing all parameters of the corresponding part, all parameters comprise part numbers, part names, weight parameters and associated identifications, the weight parameters are used for indicating whether the weight of the part is automatically generated or not, and the associated identifications are used for indicating whether a two-dimensional model where the part is located is automatically associated with a three-dimensional model or not;
Judging whether the part number of the part to be detected is consistent with the file name of any target file or not for the part to be detected corresponding to any target file, and if so, determining a parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the association identifier; if the parameters are inconsistent, the parameter detection result of the part to be detected is abnormal.
In one embodiment, determining the target file in all files according to the file name of each file includes:
judging whether the first character in the file name of any file is a number or not and judging whether the file format of any file is a preset format or not for any file in all files;
If yes, determining any file as the target file.
In one embodiment, the preset formats include the following three formats, which are an asm file, a prt file, and a drw file, respectively.
In one embodiment, determining the parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the associated identifier includes:
judging whether the first four characters in the part number are all numbers and letters in the part number are capitalized, if so, judging that the first detection result corresponding to the part number is normal, and if not, judging that the first detection result is abnormal;
Judging whether the part name is a Chinese character, if so, judging that a second detection result corresponding to the part name is normal, and if not, judging that the second detection result is abnormal;
Judging whether the weight parameter is 0, if so, judging that a third detection result corresponding to the weight parameter is abnormal, and if not, judging that the third detection result is normal;
Acquiring the numerical value of the association identifier, if the association identifier is 1, the fourth detection result corresponding to the association identifier is normal, and if the association identifier is 0, the fourth detection result is abnormal;
And when the first detection result, the second detection result, the third detection result and the fourth detection result are all normal, the parameter detection result of the part to be detected is normal.
In one embodiment, the method further comprises:
counting the parameter detection results of the parts to be detected corresponding to all the target files, and determining the total number of the parts to be detected with the normal parameter detection results;
displaying the total number, the part numbers of the parts to be detected, the parameter detection results of which are abnormal, and the corresponding abnormal conditions; the abnormal situation refers to the reason that the parameter detection result is abnormal, and the abnormal situation comprises that the file name is inconsistent with the part number, the part number is wrong, the part name is wrong, the weight is unfilled and the three-dimensional model is unassociated.
In one embodiment, all parameters further include surface protection parameters, processing method parameters, and review parameters;
The surface protection parameters are used for indicating whether the parts need to be subjected to paint spraying treatment or not, and the processing mode parameters are used for indicating the processing materials and the processing modes of the parts; the review parameter is used to indicate the importance of the component.
In a second aspect, the application further provides a device for detecting the parameters of the parts. The device comprises:
the acquisition module is used for acquiring all files corresponding to the models of all the parts to be detected, and determining target files in all the files according to the file name of each file; each file corresponds to a different part, each file is used for storing all parameters of the corresponding part, all parameters comprise part numbers, part names, weight parameters and associated identifications, the weight parameters are used for indicating whether the weight of the part is automatically generated or not, and the associated identifications are used for indicating whether a two-dimensional model where the part is located is automatically associated with a three-dimensional model or not;
The detection module is used for judging whether the part number of the part to be detected is consistent with the file name of any target file or not for the part to be detected corresponding to any target file, and if so, determining the parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the associated identifier; if the parameters are inconsistent, the parameter detection result of the part to be detected is abnormal.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
Acquiring all files corresponding to the models of all the parts to be detected, and determining target files in all the files according to the file name of each file; each file corresponds to a different part, each file is used for storing all parameters of the corresponding part, all parameters comprise part numbers, part names, weight parameters and associated identifications, the weight parameters are used for indicating whether the weight of the part is automatically generated or not, and the associated identifications are used for indicating whether a two-dimensional model where the part is located is automatically associated with a three-dimensional model or not;
Judging whether the part number of the part to be detected is consistent with the file name of any target file or not for the part to be detected corresponding to any target file, and if so, determining a parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the association identifier; if the parameters are inconsistent, the parameter detection result of the part to be detected is abnormal.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
Acquiring all files corresponding to the models of all the parts to be detected, and determining target files in all the files according to the file name of each file; each file corresponds to a different part, each file is used for storing all parameters of the corresponding part, all parameters comprise part numbers, part names, weight parameters and associated identifications, the weight parameters are used for indicating whether the weight of the part is automatically generated or not, and the associated identifications are used for indicating whether a two-dimensional model where the part is located is automatically associated with a three-dimensional model or not;
Judging whether the part number of the part to be detected is consistent with the file name of any target file or not for the part to be detected corresponding to any target file, and if so, determining a parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the association identifier; if the parameters are inconsistent, the parameter detection result of the part to be detected is abnormal.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
Acquiring all files corresponding to the models of all the parts to be detected, and determining target files in all the files according to the file name of each file; each file corresponds to a different part, each file is used for storing all parameters of the corresponding part, all parameters comprise part numbers, part names, weight parameters and associated identifications, the weight parameters are used for indicating whether the weight of the part is automatically generated or not, and the associated identifications are used for indicating whether a two-dimensional model where the part is located is automatically associated with a three-dimensional model or not;
Judging whether the part number of the part to be detected is consistent with the file name of any target file or not for the part to be detected corresponding to any target file, and if so, determining a parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the association identifier; if the parameters are inconsistent, the parameter detection result of the part to be detected is abnormal.
The method, the device, the computer equipment, the storage medium and the computer program product for detecting the parameters of the parts acquire all files corresponding to the models of all the parts to be detected, and determine target files in all the files according to the file name of each file; each file corresponds to a different part, each file is used for storing all parameters of the corresponding part, all parameters comprise part numbers, part names, weight parameters and associated identifications, the weight parameters are used for indicating whether the weight of the part is automatically generated or not, and the associated identifications are used for indicating whether a two-dimensional model where the part is located is automatically associated with a three-dimensional model or not; judging whether the part number of the part to be detected is consistent with the file name of any target file or not for the part to be detected corresponding to any target file, and if so, determining a parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the association identifier; if the parameters are inconsistent, the parameter detection result of the part to be detected is abnormal. The parameters of the parts to be detected are obtained by automatically acquiring the two-dimensional and three-dimensional data of the parts to be detected, which are generated in the engineering research and development process by using the Creo software, all the parameters are automatically detected by a set program, manual opening of files storing the parameters one by one is avoided, the parameter detection time of the parts to be detected is saved, the parameter detection efficiency is improved, missing detection or false detection is avoided, the final parameter detection result of the parts to be detected is given, and the quality of drawings where all the parts to be detected are located is further improved.
Drawings
FIG. 1 is a diagram of an application environment for a component parameter detection method in one embodiment;
FIG. 2 is a flow chart of a method for detecting parameters of components in one embodiment;
FIG. 3 is a flow diagram of a part number screening step in one embodiment;
FIG. 4 is a flow chart of a method for detecting parameters of components in another embodiment;
FIG. 5 is a flow chart of a part name screening step in one embodiment;
FIG. 6 is a flow chart of a method for detecting parameters of components in yet another embodiment;
FIG. 7 is a schematic diagram showing the results of component parameter testing in one embodiment;
FIG. 8 is a schematic diagram of the types of component parameters obtained in one embodiment;
FIG. 9 is a block diagram of a component parameter sensing device in one embodiment;
fig. 10 is an internal structural view of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
Part numbers are independent and unique numbers programmed for each part, component or accessory by the manufacturer for convenience of part identification and management, and in engineering development using computer software (e.g., creoson, catia software and solidworks), all new part numbers first need to be determined in order for the computer to distinguish each part.
Creo is a piece of software frequently used in engineering design, and after engineering research and development are completed by using Creo, the part number of each part needs to be checked, and whether the part number is in accordance with the part number specification of an enterprise or whether the part number is consistent with a file name is detected. It can be understood that when the engineering research and development is performed by using the Creo, the Creo can automatically acquire and store various parameter information of each part in the research and development drawing, and when the research and development drawing is output, the file for storing the parameters can be sent to the next working department along with the drawing file. Therefore, after the development is completed, the detection of the parameters is of great importance.
The method for detecting the parameters of the parts, provided by the embodiment of the application, can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, a method for detecting parameters of a component is provided, and the method is applied to the server in fig. 1 for illustration, and includes the following steps:
Step 202, obtaining all files corresponding to models of all parts to be detected, and determining target files in all files according to file names of all files; each file corresponds to a different part, each file is used for storing all parameters of the corresponding part, all parameters comprise part numbers, part names, weight parameters and associated identifications, the weight parameters are used for indicating whether the weight of the part is automatically generated or not, and the associated identifications are used for indicating whether a two-dimensional model where the part is located is automatically associated with a three-dimensional model or not;
The model refers to a distinguishing mode set for managing developed products when engineering development is performed in Creo software, and generally, development of a product is performed in one model, but when considering a large-scale combined product, multiple models, such as a gear lever device, may be involved, so that the model can be designed in one model, and for a whole vehicle structure, multiple models need to be built to design the whole vehicle structure according to the division of the whole vehicle.
It will be appreciated that in a computer, according to the data storage structure, when the model is stored with data, a folder is generally corresponding, and in the folder, a plurality of folders or files may be included, where each folder or file corresponds to a different part, and all parameters corresponding to the part are stored. It should be noted that, in the computer, each part number needs to have a unique identifier, which is denoted by a part number here, so, in order to embody the uniqueness, it is necessary to follow the same standard when generating part numbers for all parts, which standard is not the same in different application scenarios or different enterprise management, and the standard requirement of the part number is a simplest way to check the part number, for example, it is required that the part number is composed of 3 digits+2 letters.
Specifically, file names of all files are directly obtained through a computer program, all parameters of corresponding parts to be detected stored in all files are obtained, and all parameters of the parts to be detected are checked by setting parameter requirements corresponding to the parts in advance. Or after each file is acquired, all parameters of the part to be detected can be acquired and detected one by one.
Step 204, for the part to be detected corresponding to any target file, judging whether the part number of the part to be detected is consistent with the file name of any target file, if so, determining the parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the associated identifier; if the parameters are inconsistent, the parameter detection result of the part to be detected is abnormal.
It should be noted that, in the Creo software, the file name of each piece of information is stored by default to be consistent with the part number of the part, so before the parameter of the part to be detected is detected, it is required to determine that all pieces of information of the part to be detected are accurate, and if the file name of the corresponding target file is inconsistent with the part number, all the parameters of the part to be detected may be generated and stored in error. In addition, when the Creo software is used for engineering research and development, each time data storage is carried out, the software automatically generates a new file, and referring to fig. 3, in the research and development process of a part represented by "hd01-a-01-01-01_asm.asm.1", the part parameter "hd 01-a-01-01-01. Prt.1" is automatically stored as the file "hd01-a-01-01-01-01_1.Prt.1" after being stored once, therefore, the part number needs to be checked, and the parameter file which is stored at the latest moment from the part parameter detection and is consistent with the file name is obtained, and the parameter is determined.
The weight parameter refers to whether the weight value of the component is automatically generated, and in the Creo software, the weight of the component is calculated according to the design requirement of the component and the volume and the density of the component, and the weight parameter is stored in a file as a parameter of the component, but there may be a case where the weight parameter is not calculated.
Specifically, in one embodiment, the detection analysis of all parameters of the part to be detected is as follows:
(1) Part number determination
Part number needs to meet the Q/CACBW-14.1 requirement, if the first 4 digits are numbers, letters need capitalization, sometimes filling is omitted;
(2) Part name determination
Most of the part names are Chinese characters, and if the part names are alphanumeric, the part names need to be named;
(3) Weight determination of parts
If the weight is not automatically generated and the default value is 0.0, the weight needs to be generated;
(4) Two-dimensional map association status determination
Two-dimensional drawings are associated with three-dimensional data under default conditions, but some drawings are associated with each other;
In the method for detecting the parameters of the parts provided in the above embodiment, all files corresponding to the models where all the parts to be detected are located are obtained, and the target files in all the files are determined according to the file name of each file; each file corresponds to a different part, each file is used for storing all parameters of the corresponding part, all parameters comprise part numbers, part names, weight parameters and associated identifications, the weight parameters are used for indicating whether the weight of the part is automatically generated or not, and the associated identifications are used for indicating whether a two-dimensional model where the part is located is automatically associated with a three-dimensional model or not; judging whether the part number of the part to be detected is consistent with the file name of any target file or not for the part to be detected corresponding to any target file, and if so, determining a parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the association identifier; if the parameters are inconsistent, the parameter detection result of the part to be detected is abnormal. The parameters of the parts to be detected are obtained by automatically acquiring the two-dimensional and three-dimensional data of the parts to be detected, which are generated in the engineering research and development process by using the Creo software, all the parameters are automatically detected by a set program, manual opening of files storing the parameters one by one is avoided, the parameter detection time of the parts to be detected is saved, the parameter detection efficiency is improved, missing detection or false detection is avoided, the final parameter detection result of the parts to be detected is given, and the quality of drawings where all the parts to be detected are located is further improved.
In one embodiment, referring to fig. 4, determining the target file in all files according to the file name of each file includes:
Step 402, for any file in all files, judging whether the first character in the file name of any file is a number, and judging whether the file format of any file is a preset format;
And step 404, if yes, determining any file as the target file.
It should be noted that, after the three-dimensional model is opened by using the Creo software, because the design process includes some temporary files and files without going through the process, these files do not include parameters of parts, so these files need to be screened out. Specifically, the filtering may be performed according to the naming manner of the file and the format of the file, for example: ① Screening the file extension names, and only processing files with extension names of asm, prt and drw; ② Files whose file names do not begin with numbers are screened out. Referring specifically to FIG. 5, the list is a list of file names of all files initially scanned, wherein files with file names of "GVD510-DCDC-1031.PRT" are either filtered out or filtered out, as required.
The preset formats comprise an asm file, a prt file and a drw file respectively. asm file is a source file in a three-dimensional model corresponding to a two-dimensional drawing, and represents components (a set of parts) in parts in the three-dimensional model, namely asm can correspond to an upward level of the parts, and is generally an assembly, namely the set of the parts; the prt file is a parameterized document, and records parameters of parts (single parts which are not separable in the machine) in the three-dimensional model; the drw format document is a two-dimensional drawing.
In the method provided in the above embodiment, for any one of all the files, it is determined whether the first character in the file name of any one of the files is a number, and whether the file format of any one of the files is a preset format is determined; if yes, determining any file as the target file. By screening all the acquired two-dimensional and three-dimensional data, the smooth detection process of the parameters of the parts to be detected is ensured, the influence on the detection efficiency of the parameters of the parts due to the blocking phenomenon of individual files is avoided, and the detection accuracy of the parameters of the parts is improved.
In one embodiment, referring to fig. 6, determining a parameter detection result of a part to be detected according to a part number, a part name, a weight parameter and an associated identifier includes:
Step 602, judging whether the first four characters in the part number are all numbers and letters in the part number are capitalized, if so, the first detection result corresponding to the part number is normal, and if not, the first detection result is abnormal;
step 604, judging whether the part name is a Chinese character, if so, the second detection result corresponding to the part name is normal, and if not, the second detection result is abnormal;
Step 606, judging whether the weight parameter is 0, if so, determining that the third detection result corresponding to the weight parameter is abnormal, and if not, determining that the third detection result is normal;
Step 608, obtaining the value of the association identifier, if the association identifier is 1, the fourth detection result corresponding to the association identifier is normal, and if the association identifier is 0, the fourth detection result is abnormal;
In step 610, when the first detection result, the second detection result, the third detection result, and the fourth detection result are all normal, the parameter detection result of the component to be detected is normal.
It can be understood that, for all parameters of the component, the condition should be satisfied, and the passing of the parameter detection of the component can be described, so that the component and the parameters thereof generated and stored in the software can be ensured to be in complex compliance, and in the first detection result, the second detection result, the third detection result and the fourth detection result, as long as one detection result is abnormal, the parameter detection result of the component is abnormal.
In one embodiment, the method further comprises:
counting the parameter detection results of the parts to be detected corresponding to all the target files, and determining the total number of the parts to be detected with the normal parameter detection results;
displaying the total number, the part numbers of the parts to be detected, the parameter detection results of which are abnormal, and the corresponding abnormal conditions; the abnormal situation refers to the reason that the parameter detection result is abnormal, and the abnormal situation comprises that the file name is inconsistent with the part number, the part number is wrong, the part name is wrong, the weight is unfilled and the three-dimensional model is unassociated.
Specifically, in one application embodiment, taking 92 sets of 1260 carts as an example, the inspection result is shown in fig. 7, where "the part number is inconsistent with the file name" is that the file name is inconsistent with the part number; the "part number is filled" is part number error; the weight is 0.0, which is the weight is not filled. In the actual use process, the result display form for each abnormal situation is set according to the use habit of the specific user, and this embodiment only gives a result display form for an abnormal situation, which is not limited herein.
In the method provided by the embodiment, all parameters of the parts to be detected are automatically detected through preset rules, the detection results are directly displayed on the display screen of the terminal, manual opening of files storing the parameters one by one is avoided, parameter detection time of the parts to be detected is saved, parameter detection efficiency is improved, missing detection or false detection is avoided, final part parameter detection results are given, and further quality of drawings where all the parts to be detected are located is improved.
In one embodiment, all parameters further include surface protection parameters, processing method parameters, and review parameters;
The surface protection parameters are used for indicating whether the parts need to be subjected to paint spraying treatment or not, and the processing mode parameters are used for indicating the processing materials and the processing modes of the parts; the review parameter is used to indicate the importance of the component.
For specific parameter types to be detected, the parameters are changed according to specific application scenes and application requirements, and the parameter detection results corresponding to the parameter types are not simple normal or abnormal any more, and the content recorded in the parameter file is required to be detected. For example, judging surface protection, if paint spraying treatment exists, marking a Y on a two-dimensional picture title bar surface treatment item, and recording a marking result in a parameter file; judging the processing method, wherein if the material is a plate material, the processing method is a sheet metal process, the processing method needs to be marked with an S, if the casting requirement exists, the processing method needs to be marked with a C, and if the forging requirement exists, the processing method needs to be marked with an F; and (3) rechecking, namely if the part is a key assembly, such as a power battery PACK, and checking the attribute of the part needs to be marked with 'Y'. All parameters of the specific parts to be inspected can be shown with reference to fig. 8.
In the method provided in the above embodiment, all parameters further include a surface protection parameter, a processing method parameter, and a review parameter; the surface protection parameters are used for indicating whether the parts need to be subjected to paint spraying treatment or not, and the processing mode parameters are used for indicating the processing materials and the processing modes of the parts; the review parameter is used to indicate the importance of the component. The type of parameters to be checked is changed according to different design requirements, the method can be flexibly suitable for research and development of various products, and the accuracy of the determined drawing after each research and development is completed is ensured.
It should be understood that, although the steps in the flowcharts related to the above embodiments are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a component parameter detection device for realizing the above related component parameter detection method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation of the embodiment of the device for detecting a component parameter provided in the following may be referred to the limitation of the method for detecting a component parameter, which is not repeated herein.
In one embodiment, as shown in fig. 9, there is provided a component parameter detecting apparatus, including: an acquisition module 901 and a detection module 902, wherein:
The acquiring module 901 is configured to acquire all files corresponding to the models where all the parts to be detected are located, and determine target files in all the files according to the file name of each file; each file corresponds to a different part, each file is used for storing all parameters of the corresponding part, all parameters comprise part numbers, part names, weight parameters and associated identifications, the weight parameters are used for indicating whether the weight of the part is automatically generated or not, and the associated identifications are used for indicating whether a two-dimensional model where the part is located is automatically associated with a three-dimensional model or not;
The detecting module 902 is configured to determine, for a part to be detected corresponding to any target file, whether a part number of the part to be detected is consistent with a file name of any target file, and if so, determine a parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the association identifier; if the parameters are inconsistent, the parameter detection result of the part to be detected is abnormal.
In one embodiment, the obtaining module 901 is further configured to:
judging whether the first character in the file name of any file is a number or not and judging whether the file format of any file is a preset format or not for any file in all files;
If yes, determining any file as the target file.
In one embodiment, the obtaining module 901 is further configured to: the preset formats comprise an asm file, a prt file and a drw file respectively.
In one embodiment, the detection module 902 is further configured to:
judging whether the first four characters in the part number are all numbers and letters in the part number are capitalized, if so, judging that the first detection result corresponding to the part number is normal, and if not, judging that the first detection result is abnormal;
Judging whether the part name is a Chinese character, if so, judging that a second detection result corresponding to the part name is normal, and if not, judging that the second detection result is abnormal;
Judging whether the weight parameter is 0, if so, judging that a third detection result corresponding to the weight parameter is abnormal, and if not, judging that the third detection result is normal;
Acquiring the numerical value of the association identifier, if the association identifier is 1, the fourth detection result corresponding to the association identifier is normal, and if the association identifier is 0, the fourth detection result is abnormal;
And when the first detection result, the second detection result, the third detection result and the fourth detection result are all normal, the parameter detection result of the part to be detected is normal.
In one embodiment, the detection module 902 is further configured to:
counting the parameter detection results of the parts to be detected corresponding to all the target files, and determining the total number of the parts to be detected with the normal parameter detection results;
displaying the total number, the part numbers of the parts to be detected, the parameter detection results of which are abnormal, and the corresponding abnormal conditions; the abnormal situation refers to the reason that the parameter detection result is abnormal, and the abnormal situation comprises that the file name is inconsistent with the part number, the part number is wrong, the part name is wrong, the weight is unfilled and the three-dimensional model is unassociated.
In one embodiment, the obtaining module 901 is further configured to: all parameters also comprise surface protection parameters, processing method parameters and retest parameters;
The surface protection parameters are used for indicating whether the parts need to be subjected to paint spraying treatment or not, and the processing mode parameters are used for indicating the processing materials and the processing modes of the parts; the review parameter is used to indicate the importance of the component.
The above-mentioned individual modules in the component parameter detecting apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 10. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing various parameter data of the parts. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a component parameter detection method.
It will be appreciated by those skilled in the art that the structure shown in FIG. 10 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
Acquiring all files corresponding to the models of all the parts to be detected, and determining target files in all the files according to the file name of each file; each file corresponds to a different part, each file is used for storing all parameters of the corresponding part, all parameters comprise part numbers, part names, weight parameters and associated identifications, the weight parameters are used for indicating whether the weight of the part is automatically generated or not, and the associated identifications are used for indicating whether a two-dimensional model where the part is located is automatically associated with a three-dimensional model or not;
Judging whether the part number of the part to be detected is consistent with the file name of any target file or not for the part to be detected corresponding to any target file, and if so, determining a parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the association identifier; if the parameters are inconsistent, the parameter detection result of the part to be detected is abnormal.
In one embodiment, the processor when executing the computer program further performs the steps of:
judging whether the first character in the file name of any file is a number or not and judging whether the file format of any file is a preset format or not for any file in all files;
If yes, determining any file as the target file.
In one embodiment, the processor when executing the computer program further performs the steps of: the preset formats comprise an asm file, a prt file and a drw file respectively.
In one embodiment, the processor when executing the computer program further performs the steps of:
judging whether the first four characters in the part number are all numbers and letters in the part number are capitalized, if so, judging that the first detection result corresponding to the part number is normal, and if not, judging that the first detection result is abnormal;
Judging whether the part name is a Chinese character, if so, judging that a second detection result corresponding to the part name is normal, and if not, judging that the second detection result is abnormal;
Judging whether the weight parameter is 0, if so, judging that a third detection result corresponding to the weight parameter is abnormal, and if not, judging that the third detection result is normal;
Acquiring the numerical value of the association identifier, if the association identifier is 1, the fourth detection result corresponding to the association identifier is normal, and if the association identifier is 0, the fourth detection result is abnormal;
And when the first detection result, the second detection result, the third detection result and the fourth detection result are all normal, the parameter detection result of the part to be detected is normal.
In one embodiment, the processor when executing the computer program further performs the steps of:
counting the parameter detection results of the parts to be detected corresponding to all the target files, and determining the total number of the parts to be detected with the normal parameter detection results;
displaying the total number, the part numbers of the parts to be detected, the parameter detection results of which are abnormal, and the corresponding abnormal conditions; the abnormal situation refers to the reason that the parameter detection result is abnormal, and the abnormal situation comprises that the file name is inconsistent with the part number, the part number is wrong, the part name is wrong, the weight is unfilled and the three-dimensional model is unassociated.
In one embodiment, the processor when executing the computer program further performs the steps of: all parameters also comprise surface protection parameters, processing method parameters and retest parameters;
The surface protection parameters are used for indicating whether the parts need to be subjected to paint spraying treatment or not, and the processing mode parameters are used for indicating the processing materials and the processing modes of the parts; the review parameter is used to indicate the importance of the component.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
Acquiring all files corresponding to the models of all the parts to be detected, and determining target files in all the files according to the file name of each file; each file corresponds to a different part, each file is used for storing all parameters of the corresponding part, all parameters comprise part numbers, part names, weight parameters and associated identifications, the weight parameters are used for indicating whether the weight of the part is automatically generated or not, and the associated identifications are used for indicating whether a two-dimensional model where the part is located is automatically associated with a three-dimensional model or not;
Judging whether the part number of the part to be detected is consistent with the file name of any target file or not for the part to be detected corresponding to any target file, and if so, determining a parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the association identifier; if the parameters are inconsistent, the parameter detection result of the part to be detected is abnormal.
In one embodiment, the computer program when executed by the processor further performs the steps of:
judging whether the first character in the file name of any file is a number or not and judging whether the file format of any file is a preset format or not for any file in all files;
If yes, determining any file as the target file.
In one embodiment, the computer program when executed by the processor further performs the steps of: the preset formats comprise an asm file, a prt file and a drw file respectively.
In one embodiment, the computer program when executed by the processor further performs the steps of:
judging whether the first four characters in the part number are all numbers and letters in the part number are capitalized, if so, judging that the first detection result corresponding to the part number is normal, and if not, judging that the first detection result is abnormal;
Judging whether the part name is a Chinese character, if so, judging that a second detection result corresponding to the part name is normal, and if not, judging that the second detection result is abnormal;
Judging whether the weight parameter is 0, if so, judging that a third detection result corresponding to the weight parameter is abnormal, and if not, judging that the third detection result is normal;
Acquiring the numerical value of the association identifier, if the association identifier is 1, the fourth detection result corresponding to the association identifier is normal, and if the association identifier is 0, the fourth detection result is abnormal;
And when the first detection result, the second detection result, the third detection result and the fourth detection result are all normal, the parameter detection result of the part to be detected is normal.
In one embodiment, the computer program when executed by the processor further performs the steps of:
counting the parameter detection results of the parts to be detected corresponding to all the target files, and determining the total number of the parts to be detected with the normal parameter detection results;
displaying the total number, the part numbers of the parts to be detected, the parameter detection results of which are abnormal, and the corresponding abnormal conditions; the abnormal situation refers to the reason that the parameter detection result is abnormal, and the abnormal situation comprises that the file name is inconsistent with the part number, the part number is wrong, the part name is wrong, the weight is unfilled and the three-dimensional model is unassociated.
In one embodiment, the computer program when executed by the processor further performs the steps of: all parameters also comprise surface protection parameters, processing method parameters and retest parameters;
The surface protection parameters are used for indicating whether the parts need to be subjected to paint spraying treatment or not, and the processing mode parameters are used for indicating the processing materials and the processing modes of the parts; the review parameter is used to indicate the importance of the component.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
Acquiring all files corresponding to the models of all the parts to be detected, and determining target files in all the files according to the file name of each file; each file corresponds to a different part, each file is used for storing all parameters of the corresponding part, all parameters comprise part numbers, part names, weight parameters and associated identifications, the weight parameters are used for indicating whether the weight of the part is automatically generated or not, and the associated identifications are used for indicating whether a two-dimensional model where the part is located is automatically associated with a three-dimensional model or not;
Judging whether the part number of the part to be detected is consistent with the file name of any target file or not for the part to be detected corresponding to any target file, and if so, determining a parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the association identifier; if the parameters are inconsistent, the parameter detection result of the part to be detected is abnormal.
In one embodiment, the computer program when executed by the processor further performs the steps of:
judging whether the first character in the file name of any file is a number or not and judging whether the file format of any file is a preset format or not for any file in all files;
If yes, determining any file as the target file.
In one embodiment, the computer program when executed by the processor further performs the steps of: the preset formats comprise an asm file, a prt file and a drw file respectively.
In one embodiment, the computer program when executed by the processor further performs the steps of:
judging whether the first four characters in the part number are all numbers and letters in the part number are capitalized, if so, judging that the first detection result corresponding to the part number is normal, and if not, judging that the first detection result is abnormal;
Judging whether the part name is a Chinese character, if so, judging that a second detection result corresponding to the part name is normal, and if not, judging that the second detection result is abnormal;
Judging whether the weight parameter is 0, if so, judging that a third detection result corresponding to the weight parameter is abnormal, and if not, judging that the third detection result is normal;
Acquiring the numerical value of the association identifier, if the association identifier is 1, the fourth detection result corresponding to the association identifier is normal, and if the association identifier is 0, the fourth detection result is abnormal;
And when the first detection result, the second detection result, the third detection result and the fourth detection result are all normal, the parameter detection result of the part to be detected is normal.
In one embodiment, the computer program when executed by the processor further performs the steps of:
counting the parameter detection results of the parts to be detected corresponding to all the target files, and determining the total number of the parts to be detected with the normal parameter detection results;
displaying the total number, the part numbers of the parts to be detected, the parameter detection results of which are abnormal, and the corresponding abnormal conditions; the abnormal situation refers to the reason that the parameter detection result is abnormal, and the abnormal situation comprises that the file name is inconsistent with the part number, the part number is wrong, the part name is wrong, the weight is unfilled and the three-dimensional model is unassociated.
In one embodiment, the computer program when executed by the processor further performs the steps of: all parameters also comprise surface protection parameters, processing method parameters and retest parameters;
The surface protection parameters are used for indicating whether the parts need to be subjected to paint spraying treatment or not, and the processing mode parameters are used for indicating the processing materials and the processing modes of the parts; the review parameter is used to indicate the importance of the component.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magneto-resistive random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in various forms such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. A method for detecting parameters of a component, the method comprising:
Acquiring all files corresponding to models of all parts to be detected, and determining target files in all files according to the file name of each file; each file corresponds to a different part, and is used for storing all parameters of the corresponding part, wherein all parameters comprise part numbers, part names, weight parameters and associated identifications, the weight parameters are used for indicating whether the weight of the part is automatically generated or not, and the associated identifications are used for indicating whether a two-dimensional model where the part is located is automatically associated with a three-dimensional model or not;
judging whether the part number of the part to be detected is consistent with the file name of any target file or not for the part to be detected corresponding to any target file, and if so, determining a parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the association identifier; if the parameters of the parts to be detected are inconsistent, the parameter detection result of the parts to be detected is abnormal.
2. The method of claim 1, wherein determining the target file of the all files based on the file name of each file comprises:
judging whether the first character in the file name of any file is a number or not for any file in all files, and judging whether the file format of any file is a preset format or not;
and if yes, determining any file as a target file.
3. The method of claim 2 wherein the predetermined format includes three formats, asm file, prt file and drw file, respectively.
4. The method according to claim 1, wherein the determining the parameter detection result of the to-be-detected component according to the component number, the component name, the weight parameter, and the association identifier includes:
Judging whether the first four characters in the part number are all numbers and the letters in the part number are capitalization, if so, judging that the first detection result corresponding to the part number is normal, and if not, judging that the first detection result is abnormal;
Judging whether the part name is a Chinese character, if so, judging that a second detection result corresponding to the part name is normal, and if not, judging that the second detection result is abnormal;
Judging whether the weight parameter is 0, if so, judging that a third detection result corresponding to the weight parameter is abnormal, and if not, judging that the third detection result is normal;
Acquiring the numerical value of the association identifier, if the association identifier is 1, the fourth detection result corresponding to the association identifier is normal, and if the association identifier is 0, the fourth detection result is abnormal;
And when the first detection result, the second detection result, the third detection result and the fourth detection result are all normal, the parameter detection result of the part to be detected is normal.
5. The method according to claim 4, wherein the method further comprises:
counting the parameter detection results of the parts to be detected corresponding to all the target files, and determining the total number of the parts to be detected with the normal parameter detection results;
displaying the total number, the part numbers of the parts to be detected, the parameter detection results of which are abnormal, and the corresponding abnormal conditions; the abnormal situation refers to the reason that the parameter detection result is abnormal, and the abnormal situation comprises that the file name is inconsistent with the part number, the part number is wrong, the part name is wrong, the weight is not filled and the three-dimensional model is not associated.
6. The method of claim 1, wherein the all parameters further comprise surface protection parameters, processing method parameters, and review parameters;
the surface protection parameters are used for indicating whether the parts need to be subjected to paint spraying treatment or not, and the processing method parameters are used for indicating processing materials and processing modes of the parts; the recheck parameter is used for indicating the importance degree of the parts.
7. A component parameter sensing apparatus, the apparatus comprising:
The acquisition module is used for acquiring all files corresponding to the models of all the parts to be detected, and determining target files in all the files according to the file name of each file; each file corresponds to a different part, and is used for storing all parameters of the corresponding part, wherein all parameters comprise part numbers, part names, weight parameters and associated identifications, the weight parameters are used for indicating whether the weight of the part is automatically generated or not, and the associated identifications are used for indicating whether a two-dimensional model where the part is located is automatically associated with a three-dimensional model or not;
the detection module is used for judging whether the part number of the part to be detected is consistent with the file name of any target file or not for the part to be detected corresponding to any target file, and if so, determining a parameter detection result of the part to be detected according to the part number, the part name, the weight parameter and the association identifier; if the parameters of the parts to be detected are inconsistent, the parameter detection result of the parts to be detected is abnormal.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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| CN111381558B (en) * | 2018-12-29 | 2023-08-15 | 鸿富锦精密电子（成都）有限公司 | Error correction method and system for processing equipment |
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| CN106529050A (en) * | 2016-11-18 | 2017-03-22 | 中国航空综合技术研究所 | Three-dimensional model data detection method, device and system for product |
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