CN110502674A - It is a kind of based on the classification method of calibration of BOM type selecting, device - Google Patents

It is a kind of based on the classification method of calibration of BOM type selecting, device Download PDF

Info

Publication number
CN110502674A
CN110502674A CN201910797358.4A CN201910797358A CN110502674A CN 110502674 A CN110502674 A CN 110502674A CN 201910797358 A CN201910797358 A CN 201910797358A CN 110502674 A CN110502674 A CN 110502674A
Authority
CN
China
Prior art keywords
classification
target
calibration
target item
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910797358.4A
Other languages
Chinese (zh)
Other versions
CN110502674B (en
Inventor
叶萌
白向阳
施海昕
秦国君
刘云锋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hon Core City (shanghai) Internet Polytron Technologies Inc
Original Assignee
Hon Core City (shanghai) Internet Polytron Technologies Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hon Core City (shanghai) Internet Polytron Technologies Inc filed Critical Hon Core City (shanghai) Internet Polytron Technologies Inc
Priority to CN201910797358.4A priority Critical patent/CN110502674B/en
Publication of CN110502674A publication Critical patent/CN110502674A/en
Application granted granted Critical
Publication of CN110502674B publication Critical patent/CN110502674B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/90335Query processing

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

This application discloses a kind of classification method of calibration, device and a kind of electronic equipment and computer readable storage medium based on BOM type selecting, this method comprises: obtaining target material information;Wherein, the target material information includes multiple target items;Determine the corresponding classification of each target item;Judge whether the corresponding classification of all target items is consistent;If so, determining to verify successfully, and return to the classification;If it is not, then determining verification failure.Classification method of calibration provided by the present application based on BOM type selecting, the target material information received includes multiple target items, the corresponding classification of each target item is determined according to default mapping relations, is determined class otherwise relative to artificial, is improved the efficiency that classification determines.Meanwhile whether classification verification is unanimously carried out by comparing the corresponding classification of each target item, improve the accuracy that classification determines.

Description

It is a kind of based on the classification method of calibration of BOM type selecting, device
Technical field
This application involves BOM type selecting technical fields, more specifically to a kind of classification verification side based on BOM type selecting Method, device and a kind of electronic equipment and a kind of computer readable storage medium.
Background technique
BOM (Chinese name: bill of materials, full name in English: Bill of Material) is used to record needed for a product The table of all electronic components and spare part.Many materials in BOM are that Electronics Engineer is write in the form of parameter, Without being accurate to specific product.For example, for product G RM32ER61E226KE15L, parametric form are as follows: 22uF, 1210 Capacitor, X5R material, static capacity tolerance+10%, voltage rating 25V, village, manufacturer field murata.Therefore it needs to carry out BOM choosing Type is with the specific product of determination, to be purchased.
An important step is exactly the classification of determining product in BOM type selecting.Classification determination can correctly be reduced significantly choosing The range of product search during type.In the related art, by manually carrying out BOM type selecting, trained sales force can be with The product to meet the requirements of the customers is searched in the database, and efficiency is extremely low.
Therefore, how to improve the efficiency of BOM type selecting is those skilled in the art's technical issues that need to address.
Summary of the invention
The application's is designed to provide a kind of classification method of calibration, device and a kind of electronic equipment based on BOM type selecting With a kind of computer readable storage medium, the efficiency of BOM type selecting is improved.
To achieve the above object, this application provides a kind of classification methods of calibration based on BOM type selecting, comprising:
Obtain target material information;Wherein, the target material information includes multiple target items;
Determine the corresponding classification of each target item;
Judge whether the corresponding classification of all target items is consistent;
If so, determining to verify successfully, and return to the classification;If it is not, then determining verification failure.
Wherein, the corresponding classification of each target item of the determination, comprising:
The corresponding classification of each target item is determined using the corresponding content characteristic dictionary of each target item.
Wherein, the target item includes classification, position, encapsulation and parameter.
Wherein, after the judgement verification failure, further includes:
It sends a warning message.
Wherein, described whether to judge the corresponding classification of all target items if the target item includes multiple positions Before consistent, further includes:
Judge whether the corresponding classification in all positions is consistent;
If so, executing the step for judging whether the corresponding classification of all target items is consistent;
If it is not, then determining verification failure.
To achieve the above object, this application provides a kind of classification calibration equipments based on BOM type selecting, comprising:
Module is obtained, for obtaining target material information;Wherein, the target material information includes multiple target items;
Determining module, for determining the corresponding classification of each target item;
Judgment module, for judging whether the corresponding classification of all target items is consistent;If so, starting first determines The workflow of module, if it is not, then starting the workflow of the second determination module;
First determination module verifies successfully for determining, and returns to the classification;
Second determination module, for determining verification failure.
Wherein, the determining module is specially to determine each institute using the corresponding content characteristic dictionary of each target item State the module of the corresponding classification of target item.
Wherein, if the target item includes multiple positions, further include:
Second judgment module, for judging whether the corresponding classification in all positions is consistent;If being, described in starting The workflow of first judgment module;If it is not, then starting the workflow of second determination module.
To achieve the above object, this application provides a kind of electronic equipment, comprising:
Memory, for storing computer program;
Processor is realized when for executing the computer program such as the above-mentioned classification method of calibration based on BOM type selecting Step.
To achieve the above object, this application provides a kind of computer readable storage medium, the computer-readable storages It is stored with computer program on medium, such as the above-mentioned class based on BOM type selecting is realized when the computer program is executed by processor The step of other method of calibration.
By above scheme it is found that a kind of classification method of calibration based on BOM type selecting provided by the present application, comprising: obtain Target material information;Wherein, the target material information includes multiple target items;Determine the corresponding class of each target item Not;Judge whether the corresponding classification of all target items is consistent;If so, determining to verify successfully, and return to the classification;If It is no, then determine verification failure.
Classification method of calibration provided by the present application based on BOM type selecting, the target material information received includes multiple mesh Item is marked, determines the corresponding classification of each target item according to default mapping relations, class is determined otherwise relative to artificial, mentions The efficiency that high classification determines.Meanwhile whether classification verification is unanimously carried out by comparing the corresponding classification of each target item, it improves The accuracy that classification determines.Disclosed herein as well is a kind of classification calibration equipment and a kind of electronic equipment based on BOM type selecting and A kind of computer readable storage medium is equally able to achieve above-mentioned technical effect.
It should be understood that the above general description and the following detailed description are merely exemplary, this can not be limited Application.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with It obtains other drawings based on these drawings.Attached drawing is and to constitute specification for providing further understanding of the disclosure A part, be used to explain the disclosure together with following specific embodiment, but do not constitute the limitation to the disclosure.Attached In figure:
Fig. 1 is a kind of flow chart of classification method of calibration based on BOM type selecting shown according to an exemplary embodiment;
Fig. 2 is the flow chart according to another classification method of calibration based on BOM type selecting shown in an exemplary embodiment;
Fig. 3 is a kind of structure chart of classification calibration equipment based on BOM type selecting shown according to an exemplary embodiment;
Fig. 4 is the structure chart according to a kind of electronic equipment shown in an exemplary embodiment.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall in the protection scope of this application.
The embodiment of the present application discloses a kind of classification method of calibration based on BOM type selecting, improves the efficiency of BOM type selecting.
Referring to Fig. 1, a kind of process of the classification method of calibration based on BOM type selecting shown according to an exemplary embodiment Figure, as shown in Figure 1, comprising:
S101: target material information is obtained;Wherein, the target material information includes multiple target items;
The purpose of the present embodiment is that determining the classification of the material information in BOM, it is to be understood that this step can be right Multiple material informations in BOM are obtained one by one, and subsequent step carries out classification to it one by one and determines, naturally it is also possible to obtain simultaneously Multiple material informations are taken, subsequent step carries out parallel classification to each material information and determines, herein without specifically limiting.
Target material information in this step is user's input, may include multiple target items, target item may include Classification, position, encapsulation and the parameter etc. of the target component.
S102: the corresponding classification of each target item is determined;
In specific implementation, the corresponding relationship of each target item and classification is preset, this step can be according to the default mapping Relationship determines the corresponding classification of each target item.Corresponding relationship herein can be stored in the form of content characteristics dictionary to memory In, i.e., this step includes: to determine that each target item is corresponding using the corresponding content characteristic dictionary of each target item Classification.It can certainly be stored otherwise, herein without specifically limiting.
It is understood that since target item includes classification, position, encapsulation and parameter, above-mentioned content characteristic dictionary packet Include classification, position, encapsulation and the corresponding content characteristic dictionary of parameter.Content characteristic dictionary such as mf, uf of parameter, nf, Pf-capacitor, the content characteristic dictionary of encapsulation such as C-capacitor, R-resistance, L-inductance, the content characteristic dictionary of position is for example C-capacitor, R-resistance, L-inductance, content characteristic dictionary such as mlcc, cap, the ceramic condenser, multi-layer ceramic capacitance of classification Device, Multilayer Ceramic Capacitors-ceramic condenser.
If the criteria table form of target material information is as shown in table 1:
Table 1
It is found that be classified as " mlcc " in target material information, then it can be true according to corresponding content characteristic dictionary of classifying Determining classification is " ceramic condenser ".Position in target material information is " C6 ", since electronics industry agreement C represents capacitor, then may be used To determine classification for " capacitor " according to the corresponding content characteristic dictionary in position.Because electronics industry agreement C represents capacitor.Object It is encapsulated as " C1210 " in material information, then can determine that classification is " capacitor " according to corresponding content characteristic dictionary is encapsulated.Target Parameter in material information is " 22uF ", then can be according to the corresponding content characteristic of parameter due to the unit that uF is capacitor's capacity Dictionary determines that classification is " capacitor ".
S103: judge whether the corresponding classification of all target items is consistent;If so, into S104;If it is not, then entering S105;
In this step, whether unanimously determining classification is verified by comparing the corresponding classification of each target item, if Unanimously, then enter S104, otherwise enter S105.
Preferably, if the target item includes multiple positions, before this step further include: judge all positions Whether corresponding classification is consistent;If so, executing the step for judging whether the corresponding classification of all target items is consistent; If it is not, then determining verification failure.It is understood that may include multiple positions in target material information, such as " C6, R7, C9 ", can by each position arrange content whether contradiction is screened, subsequent step need not be carried out if contradiction, directly judgement Verification failure, improves the efficiency of classification verification.For " C6, R7, C9 ", since electronics industry agreement C represents capacitor, and R generation Table resistance, capacitor and resistance can not use the same material, and the corresponding classification of each position item is inconsistent at this time, i.e., contradiction determines school Test failure.
S104: judgement verifies successfully, and returns to the classification;
S105: determine verification failure.
Preferably, after the judgement verification failure, further includes: send a warning message.Warning information herein can wrap Wrong material information and its specific location etc. in BOM are included, herein without specifically limiting.It is understood that herein Specific alarm mode is not defined, such as can use modes, the those skilled in the art such as sending prompt tone, mail can With flexible choice according to the actual situation.
Classification method of calibration provided by the embodiments of the present application based on BOM type selecting, the target material information received include Multiple target items determine the corresponding classification of each target item according to default mapping relations, relative to artificial determining classification Mode improves the efficiency that classification determines.Meanwhile whether classification school is unanimously carried out by comparing the corresponding classification of each target item It tests, improves the accuracy that classification determines.
The embodiment of the present application discloses a kind of classification method of calibration based on BOM type selecting, relative to a upper embodiment, this reality It applies example and further instruction and optimization has been made to technical solution.It is specific:
Referring to fig. 2, the process of another classification method of calibration based on BOM type selecting shown according to an exemplary embodiment Figure, as shown in Figure 2, comprising:
S201: target material information is obtained;Wherein, the target material information includes multiple target items;
S202: the corresponding classification of each target item is determined;
S203: judge whether the corresponding classification in all positions is consistent;If so, into S204;If it is not, then entering S206;
S204: judge whether the corresponding classification of all target items is consistent;If so, into S205;If it is not, then entering S206;
S205: judgement verifies successfully, and returns to the classification;
S206: determine verification failure.
A kind of classification calibration equipment based on BOM type selecting provided by the embodiments of the present application is introduced below, is hereafter retouched A kind of classification calibration equipment based on BOM type selecting and a kind of above-described classification method of calibration based on BOM type selecting stated can With cross-referenced.
Referring to Fig. 3, a kind of structure of the classification calibration equipment based on BOM type selecting shown according to an exemplary embodiment Figure, as shown in Figure 3, comprising:
Module 301 is obtained, for obtaining target material information;Wherein, the target material information includes multiple target items;
Determining module 302, for determining the corresponding classification of each target item;
Judgment module 303, for judging whether the corresponding classification of all target items is consistent;If so, starting first The workflow of determination module 304, if it is not, then starting the workflow of the second determination module 305;
First determination module 304 verifies successfully for determining, and returns to the classification;
Second determination module 305, for determining verification failure.
Classification calibration equipment provided by the embodiments of the present application based on BOM type selecting, the target material information received include Multiple target items determine the corresponding classification of each target item according to default mapping relations, relative to artificial determining classification Mode improves the efficiency that classification determines.Meanwhile whether classification school is unanimously carried out by comparing the corresponding classification of each target item It tests, improves the accuracy that classification determines.
On the basis of the above embodiments, the determining module 302 is specially using every as a preferred implementation manner, The corresponding content characteristic dictionary of a target item determines the module of the corresponding classification of each target item.
On the basis of the above embodiments, the target item includes classification, position, envelope as a preferred implementation manner, Dress and parameter.
On the basis of the above embodiments, if the target item includes multiple positions as a preferred implementation manner, Further include:
Second judgment module, for judging whether the corresponding classification in all positions is consistent;If being, described in starting The workflow of first judgment module;If it is not, then starting the workflow of second determination module.
On the basis of the above embodiments, as a preferred implementation manner, further include:
Alarm module, for sending a warning message.
About the device in above-described embodiment, wherein modules execute the concrete mode of operation in related this method Embodiment in be described in detail, no detailed explanation will be given here.
Present invention also provides a kind of electronic equipment, referring to fig. 4, a kind of electronic equipment 400 provided by the embodiments of the present application Structure chart, as shown in figure 4, may include processor 11 and memory 12.The electronic equipment 400 can also include multimedia group Part 13, one or more of input/output (I/O) interface 14 and communication component 15.
Wherein, processor 11 is used to control the integrated operation of the electronic equipment 400, above-mentioned based on BOM type selecting to complete Classification method of calibration in all or part of the steps.Memory 12 is for storing various types of data to support in the electronics The operation of equipment 400, these data for example may include any application program or side for operating on the electronic equipment 400 The instruction of method and the relevant data of application program, such as contact data, the message of transmitting-receiving, picture, audio, video etc.. The memory 12 can be realized by any kind of volatibility or non-volatile memory device or their combination, such as static state Random access memory (Static Random Access Memory, abbreviation SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, abbreviation EEPROM), erasable programmable Read-only memory (Erasable Programmable Read-Only Memory, abbreviation EPROM), programmable read only memory (Programmable Read-Only Memory, abbreviation PROM), and read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, disk or CD.Multimedia component 13 may include screen and audio component.Wherein shield Curtain for example can be touch screen, and audio component is used for output and/or input audio signal.For example, audio component may include one A microphone, microphone is for receiving external audio signal.The received audio signal can be further stored in memory It 12 or is sent by communication component 15.Audio component further includes at least one loudspeaker, is used for output audio signal.I/O interface 14 provide interface between processor 11 and other interface modules, other above-mentioned interface modules can be keyboard, mouse, button Deng.These buttons can be virtual push button or entity button.Communication component 15 for the electronic equipment 400 and other equipment it Between carry out wired or wireless communication.Wireless communication, such as Wi-Fi, bluetooth, near-field communication (Near Field Communication, abbreviation NFC), 2G, 3G or 4G or they one or more of combination, therefore corresponding communication Component 15 may include: Wi-Fi module, bluetooth module, NFC module.
In one exemplary embodiment, electronic equipment 400 can be by one or more application specific integrated circuit (Application Specific Integrated Circuit, abbreviation ASIC), digital signal processor (Digital Signal Processor, abbreviation DSP), digital signal processing appts (Digital Signal Processing Device, Abbreviation DSPD), programmable logic device (Programmable Logic Device, abbreviation PLD), field programmable gate array (Field Programmable Gate Array, abbreviation FPGA), controller, microcontroller, microprocessor or other electronics member Part is realized, for executing the above-mentioned classification method of calibration based on BOM type selecting.
In a further exemplary embodiment, a kind of computer readable storage medium including program instruction is additionally provided, it should The step of above-mentioned classification method of calibration based on BOM type selecting is realized when program instruction is executed by processor.For example, the computer can Reading storage medium can be the above-mentioned memory 12 including program instruction, and above procedure instruction can be by the processing of electronic equipment 400 Device 11 is executed to complete the above-mentioned classification method of calibration based on BOM type selecting.
Each embodiment is described in a progressive manner in specification, the highlights of each of the examples are with other realities The difference of example is applied, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment Speech, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to method part illustration .It should be pointed out that for those skilled in the art, under the premise of not departing from the application principle, also Can to the application, some improvement and modification can also be carried out, these improvement and modification also fall into the protection scope of the claim of this application It is interior.
It should also be noted that, in the present specification, relational terms such as first and second and the like be used merely to by One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning Covering non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes that A little elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged Except there is also other identical elements in the process, method, article or apparatus that includes the element.

Claims (10)

1. a kind of classification method of calibration based on BOM type selecting characterized by comprising
Obtain target material information;Wherein, the target material information includes multiple target items;
Determine the corresponding classification of each target item;
Judge whether the corresponding classification of all target items is consistent;
If so, determining to verify successfully, and return to the classification;If it is not, then determining verification failure.
2. classification method of calibration according to claim 1, which is characterized in that the corresponding class of each target item of the determination Not, comprising:
The corresponding classification of each target item is determined using the corresponding content characteristic dictionary of each target item.
3. classification method of calibration according to claim 1, which is characterized in that the target item include classification, position, encapsulation and Parameter.
4. classification method of calibration according to claim 1, which is characterized in that after the judgement verification failure, further includes:
It sends a warning message.
5. according to claim 1 to classification method of calibration described in any one of 4, which is characterized in that if the target item includes more A position, then it is described judge whether the corresponding classification of all target items consistent before, further includes:
Judge whether the corresponding classification in all positions is consistent;
If so, executing the step for judging whether the corresponding classification of all target items is consistent;
If it is not, then determining verification failure.
6. a kind of classification calibration equipment based on BOM type selecting characterized by comprising
Module is obtained, for obtaining target material information;Wherein, the target material information includes multiple target items;
Determining module, for determining the corresponding classification of each target item;
Judgment module, for judging whether the corresponding classification of all target items is consistent;If so, the first determination module of starting Workflow, if it is not, then starting the workflow of the second determination module;
First determination module verifies successfully for determining, and returns to the classification;
Second determination module, for determining verification failure.
7. classification calibration equipment according to claim 6, which is characterized in that the determining module is specially using each described The corresponding content characteristic dictionary of target item determines the module of the corresponding classification of each target item.
8. classification calibration equipment described according to claim 6 or 7, which is characterized in that if the target item includes multiple positions, Further include:
Second judgment module, for judging whether the corresponding classification in all positions is consistent;If being, start described first The workflow of judgment module;If it is not, then starting the workflow of second determination module.
9. a kind of electronic equipment characterized by comprising
Memory, for storing computer program;
Processor is realized as described in any one of claim 1 to 5 when for executing the computer program based on BOM type selecting The step of classification method of calibration.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium Program realizes the class based on BOM type selecting as described in any one of claim 1 to 5 when the computer program is executed by processor The step of other method of calibration.
CN201910797358.4A 2019-08-27 2019-08-27 Class verification method and device based on BOM model selection Active CN110502674B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910797358.4A CN110502674B (en) 2019-08-27 2019-08-27 Class verification method and device based on BOM model selection

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910797358.4A CN110502674B (en) 2019-08-27 2019-08-27 Class verification method and device based on BOM model selection

Publications (2)

Publication Number Publication Date
CN110502674A true CN110502674A (en) 2019-11-26
CN110502674B CN110502674B (en) 2020-08-18

Family

ID=68589783

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910797358.4A Active CN110502674B (en) 2019-08-27 2019-08-27 Class verification method and device based on BOM model selection

Country Status (1)

Country Link
CN (1) CN110502674B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112722766A (en) * 2020-12-25 2021-04-30 苏州索芙特威尔软件科技有限公司 Feeding error-proofing control method and system
CN113407650A (en) * 2021-06-30 2021-09-17 广东利元亨智能装备股份有限公司 Part classification method and device, electronic equipment and storage medium
CN113627168A (en) * 2021-08-16 2021-11-09 深圳市云采网络科技有限公司 Method, device, medium and equipment for checking component packaging conflict

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100057733A1 (en) * 2008-09-02 2010-03-04 Suresh Ravinarayanan Purisai Method, computer program product, and apparatus for enabling access to enterprise information
CN105354597A (en) * 2015-11-10 2016-02-24 网易(杭州)网络有限公司 Classification method and device of game articles
CN106355375A (en) * 2016-09-18 2017-01-25 福州大学 Automatic confirming method of materials
CN106570668A (en) * 2016-11-02 2017-04-19 深圳效率科技有限公司 Bill-of-materials (BOM) information organizing method and BOM information organizing device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100057733A1 (en) * 2008-09-02 2010-03-04 Suresh Ravinarayanan Purisai Method, computer program product, and apparatus for enabling access to enterprise information
CN105354597A (en) * 2015-11-10 2016-02-24 网易(杭州)网络有限公司 Classification method and device of game articles
CN106355375A (en) * 2016-09-18 2017-01-25 福州大学 Automatic confirming method of materials
CN106570668A (en) * 2016-11-02 2017-04-19 深圳效率科技有限公司 Bill-of-materials (BOM) information organizing method and BOM information organizing device

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112722766A (en) * 2020-12-25 2021-04-30 苏州索芙特威尔软件科技有限公司 Feeding error-proofing control method and system
CN112722766B (en) * 2020-12-25 2023-03-14 苏州索芙特威尔软件科技有限公司 Feeding error-proofing control method and system
CN113407650A (en) * 2021-06-30 2021-09-17 广东利元亨智能装备股份有限公司 Part classification method and device, electronic equipment and storage medium
CN113627168A (en) * 2021-08-16 2021-11-09 深圳市云采网络科技有限公司 Method, device, medium and equipment for checking component packaging conflict
CN113627168B (en) * 2021-08-16 2023-06-30 深圳市云采网络科技有限公司 Method, device, medium and equipment for checking component packaging conflict

Also Published As

Publication number Publication date
CN110502674B (en) 2020-08-18

Similar Documents

Publication Publication Date Title
CN110502674A (en) It is a kind of based on the classification method of calibration of BOM type selecting, device
US8078924B2 (en) Method and system for generating a global test plan and identifying test requirements in a storage system environment
CN108549606A (en) interface test method and device
CN105224462B (en) The recognition methods of control element and device
US8537627B2 (en) Determining fusebay storage element usage
CN110334007A (en) A kind of functional interface calls verification method and device, electronic equipment and storage medium
CN107622008B (en) Traversal method and device for application page
CN107958365B (en) Material information changing method and device, storage medium and electronic equipment
US20150294741A1 (en) Method and apparatus for defect repair in nand memory device
CN106294308A (en) Name entity recognition method and device
CN110347672A (en) Verification method and device, the electronic equipment and storage medium of tables of data related update
CN104091616A (en) Method for detecting data consistency of set top box built-in flash chip
CN104766008A (en) Application program installation package safety detection method and server
CN109582524A (en) A kind of test method, system and electronic equipment and storage medium
CN110503341A (en) A kind of method of calibration based on BOM type selecting, device
CN110096413A (en) A kind of disk localization method, system and electronic equipment and storage medium
CN107168832A (en) The method of automatic detection, device
CN104216996A (en) File information display method and device
CN110502533A (en) A kind of BOM selection method, device and electronic equipment and storage medium
CN110489347A (en) Method for edition management, device, equipment and readable storage medium storing program for executing based on GIT
CN114360619A (en) Test method, test device, terminal and storage medium
CN108801321A (en) Sensor calibrating method, electronic device and computer readable storage medium
CN108153885A (en) Chart interlock method, device, storage medium and electronic equipment
CN107491316A (en) Extended method, device and the electronic equipment of baseboard management controller
CN111382051B (en) API automatic test method and test device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant