CN110597206B - Method and system for intelligently identifying and correcting product production details - Google Patents
Method and system for intelligently identifying and correcting product production details Download PDFInfo
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 111
- 238000000034 method Methods 0.000 title claims abstract description 42
- 239000000463 material Substances 0.000 claims abstract description 228
- 230000001915 proofreading effect Effects 0.000 claims abstract description 64
- 238000001514 detection method Methods 0.000 claims description 30
- 239000007777 multifunctional material Substances 0.000 claims description 30
- 239000003990 capacitor Substances 0.000 claims description 4
- 238000007689 inspection Methods 0.000 claims description 3
- 238000003860 storage Methods 0.000 claims description 3
- 239000004615 ingredient Substances 0.000 claims description 2
- 239000000546 pharmaceutical excipient Substances 0.000 claims 1
- 239000010421 standard material Substances 0.000 description 8
- 230000002159 abnormal effect Effects 0.000 description 4
- 238000003825 pressing Methods 0.000 description 4
- ATJFFYVFTNAWJD-UHFFFAOYSA-N Tin Chemical compound [Sn] ATJFFYVFTNAWJD-UHFFFAOYSA-N 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 238000004378 air conditioning Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention provides a method and a system for intelligently identifying and correcting product production details; the method for intelligently identifying and correcting the product production details comprises the following steps: establishing a product production detail automatic identification proofreading template according to the material characteristics; and selecting a corresponding product production detail automatic identification and proofreading template according to the material characteristics in the product production detail to be proofread, and carrying out automatic identification and proofreading on the material in the product production detail to be proofread by utilizing the product production detail automatic identification and proofreading template. The invention provides a method and a system for intelligently identifying and checking product production details, which realize intelligent automatic checking of BOM, improve checking efficiency and reduce error rate.
Description
Technical Field
The invention relates to the technical field of air conditioning equipment, in particular to a method and a system for intelligently identifying and correcting product production details.
Background
When a production type enterprise compiles product production details (hereinafter referred to as BOM for short), because of many related materials and various types, compiling personnel often compile the BOM by depending on own experience and then manually correct, so that the compiled BOM has low accuracy, is easy to mistake and leak; meanwhile, the BOM accuracy correction process consumes long time, is low in efficiency and has the problem of omission of correction. The low accuracy of the product production detail leads to high abnormal rate of trial production, production stop, line stop, capacity influence and product quality influence.
Disclosure of Invention
The invention aims to solve the problems that the conventional BOM correction is usually manual, the time consumption is long, the efficiency is low, and the correction is omitted, so that the product production is abnormal, and the product quality is influenced.
In order to solve the problems, the invention provides a method and a system for intelligently identifying and correcting product production details.
A method for intelligently identifying and correcting product production details comprises the following steps:
establishing a product production detail automatic identification proofreading template according to the material characteristics;
and selecting a corresponding product production detail automatic identification and proofreading template according to the material characteristics in the product production detail to be proofread, and carrying out automatic identification and proofreading on the material in the product production detail to be proofread by utilizing the product production detail automatic identification and proofreading template.
The method for intelligently identifying and correcting the product production details is a BOM intelligent identification automatic correction method, and establishes the template according to the material characteristics and selects the corresponding template for automatic identification and correction, so that the intelligent automatic correction of BOM compiling is realized, the correction efficiency is improved, and the error rate is reduced.
Further, establish product production detail automatic identification proofreading template according to the material characteristics, include:
if the material characteristics are multi-parameter materials, establishing a model selection template;
if the material is characterized by the necessary material, establishing a necessary material leak detection template;
and if the material features are multifunctional materials, establishing a multifunctional material leakage detection template.
Further, selecting a corresponding product production detail automatic identification and proofreading template according to the material characteristics in the product production detail to be proofread, and performing automatic identification and proofreading on the material in the product production detail to be proofread by using the product production detail automatic identification and proofreading template, wherein the method comprises the following steps:
if the material characteristics are multi-parameter materials, selecting a model selection template, and automatically identifying and correcting the materials in the production details of the product to be corrected by using the model selection template;
if the material characteristics are the necessary materials, selecting a necessary material leakage detection template, and automatically identifying and correcting the materials in the production specification of the product to be corrected by using the necessary material leakage detection template;
and if the material characteristics are multifunctional materials, selecting a multifunctional material leakage detection template, and automatically identifying and correcting the materials in the production details of the product to be corrected by using the multifunctional material leakage detection template.
By distinguishing the material characteristics, different templates are selected for correction according to different material characteristics, so that the templates have pertinence and validity, and the accuracy and the practicability of correction are improved.
Further, the automatic identification and proofreading of the materials in the product production detail to be proofread by using the model selection template comprises the following steps:
and automatically identifying material parameters in the production details of the product to be proofread, judging whether the proofreading logical relationship in the model selection template is met, and if so, passing the proofreading.
Further, the automatic identification and proofreading of the materials in the product production detail to be proofread by using the necessary material leak detection template comprises the following steps:
automatically identifying the material type information in the product production detail to be checked, comparing the material type information with the material type information in the leakage detection template, and if the material type information is consistent with the material type information in the leakage detection template, passing the checking; and the material category information is represented by a material coding segment.
Further, the automatic identification and proofreading of the materials in the product production detail to be proofread by utilizing the multifunctional material leak detection template comprises the following steps:
automatically identifying the material remark information in the product production detail to be checked, comparing the material remark information with the material remark information in the leakage checking template, and if the material remark information is consistent with the material remark information in the leakage checking template, passing the checking; the material remark information comprises material type information, material use information and use object information.
Whether material selection is correct is judged through automatic identification, whether the indispensable material of automated inspection and multi-functional material are omitted to reduce BOM material selection abnormal rate, avoid omitting, improve the efficiency of establishment, signing the auditor.
Furthermore, the necessary materials comprise standard materials and standard auxiliary materials.
Further, different leakage detection templates of the standard materials are determined according to different product models.
Furthermore, the production details of the product are the air conditioner electric control production details, and the multi-parameter materials comprise a power line, a power supply connecting line, a compressor connecting line, an electric reactor and a compressor capacitor; the necessary materials comprise the necessary materials in the complete machine fine layer and the sub fine layer; the multifunctional material comprises a screw.
A system, comprising:
a readable storage medium for storing driver execution instructions;
one or more processors, according to the executable instruction, executing the method for intelligently identifying and checking the product production details.
Drawings
FIG. 1 is a flow chart of a method for intelligently identifying and collating product production details in accordance with the present invention;
FIG. 2 is a flowchart of a method for intelligently identifying and checking product production details according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
The invention provides a method for intelligently identifying and correcting product production details, which comprises the following steps of:
establishing a product production detail automatic identification proofreading template according to the material characteristics;
and selecting a corresponding product production detail automatic identification and proofreading template according to the material characteristics in the product production detail to be proofread, and carrying out automatic identification and proofreading on the material in the product production detail to be proofread by utilizing the product production detail automatic identification and proofreading template.
The invention provides a BOM intelligent identification automatic proofreading method aiming at the defect of the accuracy of the existing manual proofreading BOM, and the method establishes the template according to the material characteristics and selects the corresponding template for automatic identification proofreading, thereby realizing the intelligent automatic proofreading of the programmed BOM, improving the proofreading efficiency and reducing the error rate.
Specifically, before the proofreading, different product production detail automatic identification proofreading templates can be established in advance according to different material characteristics, and the templates can be stored for selective use during subsequent proofreading after the establishment. And during proofreading, according to the material characteristics specifically related to the product production details to be proofread, selecting a template corresponding to the material characteristics specifically related to the product production details from the established templates for proofreading. The product production detail automatic identification proofreading template is a template used for proofreading whether materials in the compiled product production detail have errors. The material characteristics are the characteristics of the material, including but not limited to multi-parameter materials, requisite materials, multifunctional materials, and the like. The multi-parameter material refers to the material which has a plurality of parameters, and different parameters are selected according to different using objects and other requirements, namely the material selection is involved in actual application; the necessary materials are materials essential in the product and comprise standard materials and standard auxiliary materials; the multifunctional material has multiple functions, and different functions can be executed according to different use objects and the like.
More specifically, the method for establishing the automatic identification and proofreading template of the product production details according to the material characteristics comprises the following steps:
if the material characteristics are multi-parameter materials, establishing a model selection template;
if the material is characterized by the necessary material, establishing a necessary material leak detection template;
and if the material features are multifunctional materials, establishing a multifunctional material leakage detection template.
Correspondingly, selecting a corresponding product production detail automatic identification and proofreading template according to the material characteristics in the product production detail to be proofread, and performing automatic identification and proofreading on the material in the product production detail to be proofread by using the product production detail automatic identification and proofreading template, wherein the method comprises the following steps:
if the material characteristics are multi-parameter materials, selecting a model selection template, and automatically identifying and correcting the materials in the production details of the product to be corrected by using the model selection template;
if the material characteristics are the necessary materials, selecting a necessary material leakage detection template, and automatically identifying and correcting the materials in the production specification of the product to be corrected by using the necessary material leakage detection template;
and if the material characteristics are multifunctional materials, selecting a multifunctional material leakage detection template, and automatically identifying and checking the materials in the production details of the product to be checked by using the multifunctional material leakage detection template.
According to the method for intelligently identifying and correcting the production details of the product, the characteristics of the material are distinguished, and different templates are selected for correction according to different characteristics of the material, so that the templates are more targeted and effective, and the accuracy and the practicability of correction are improved.
The method comprises the following steps of utilizing the model selection template to automatically identify and correct materials in the product production detail to be corrected, wherein the method comprises the following steps: and automatically identifying material parameters in the production details of the product to be proofread, judging whether the proofreading logical relationship in the model selection template is met, and if so, passing the proofreading.
Utilizing the necessary material leak-checking template to automatically identify and check the materials in the product production detail to be checked, comprising the following steps: automatically identifying the material type information in the product production detail to be checked, comparing the material type information with the material type information in the leakage detection template, and if the material type information is consistent with the material type information in the leakage detection template, passing the checking; and the material category information is represented by a material coding segment. The leakage detection of necessary materials such as the standard materials, the standard auxiliary materials and the like in the complete machine transparent and thin layer and the sub transparent and thin layer of different machine types can be realized through the necessary material leakage detection template, and the complete machine detail can be composed of a plurality of sub details and other same-layer materials.
Utilizing the multifunctional material leakage checking template to automatically identify and check the materials in the product production detail to be checked, comprising the following steps: automatically identifying the material remark information in the product production detail to be checked, comparing the material remark information with the material remark information in the leakage checking template, and if the material remark information is consistent with the material remark information in the leakage checking template, passing the checking; the material remark information comprises material type information, material use information and use object information.
Whether material selection is correct is judged through automatic identification, whether the indispensable material of automated inspection and multi-functional material are omitted to reduce BOM material selection abnormal rate, avoid omitting, improve the efficiency of establishment, signing the auditor.
Certainly, the material characteristics of the invention are not limited to multi-parameter materials, necessary materials and multifunctional materials, and the template is not limited to a model selection template and a leakage detection template, and can be adjusted by a person skilled in the art according to actual needs.
The method for intelligently identifying and checking the production details of the air conditioner is described in detail below by taking the electric control production details of the air conditioner as an example.
1. And establishing a product production detail automatic identification proofreading template according to the material characteristics, specifically, if the material characteristics are multi-parameter materials (for example, multi-parameter materials according to the whole machine product parameter model selection), establishing a model selection template, and selecting the model selection template for the multi-parameter materials in the product production detail to be proofread to perform automatic identification proofreading. The model selection template is used for identifying whether the model selection of the material with multiple parameters is accurate or not, namely aiming at the material with multiple parameters.
Wherein, the material according to complete machine product parameter lectotype includes but not limited to: power cord, power connecting wire, compressor connecting wire, reactor, compressor electric capacity etc..
The process of calibrating the power line, the power connecting line, the compressor connecting line, the reactor and the compressor capacitor is as follows:
the first step is as follows: a BOM creation guide form (actually important relevant parameters such as working conditions, a maximum current value of the complete machine, a power supply mode, a low power consumption requirement, a maximum current value of an external machine, a maximum current value of a compressor and the like) is created in an enterprise product data management system (hereinafter referred to as a PDM system) and issued in the PDM system, parameters in the form can be directly obtained by a template and used as parameters for subsequent comparison, and the BOM creation guide form is specifically shown in table 1 below.
TABLE 1
The second step is that: establishing a bill number in the guide form as a bridge through the BOM, and associating the BOM establishment guide form (namely a source of the type selection template data) with a product production detail to be checked on the PDM system;
description of the drawings: the model selection template is used for automatically identifying and correcting the accuracy of the production detail of the product to be corrected; the model selection template mainly comprises three parts, namely, a BOM creates parameters in a guide form, attribute values of various materials in a PDM system are maintained, and a proofreading logic is built in (namely, the two parameters of the parameters in the created guide form and the attribute values of the materials are identified, and the corresponding proofreading logic is determined according to different material characteristics);
the third step: the attribute values (such as rated current, working condition information and the like) of the materials in the product production details to be corrected are maintained completely in the PDM data system, and the attribute values can be directly obtained and used as comparison parameters.
The fourth step: and automatically identifying parameters in the BOM creation guide form, comparing the parameters with rated values in attribute columns of materials in the product production details to be checked, and judging whether the selected materials are correctly selected according to a specific checking logic relationship (the checking logic in the selection template refers to that the checking logic corresponds to the material characteristics, and the corresponding checking logic is determined according to different material characteristics).
The fifth step: establishing a product production detail automatic identification proofreading template according to material characteristics, and determining a proofreading logic relationship (different material characteristics correspond to different templates, and different templates correspond to different proofreading logics), wherein the proofreading logic relationship of each material should be formulated according to actual conditions, and for example, the proofreading logic relationship of each typical material (a power line, a power connecting line, a compressor connecting line, an electric reactor, and a compressor capacitor) is different, and the proofreading logic relationship is as follows:
the power line verification logic is shown in table 2 below.
TABLE 2
The power connection verification logic is shown in table 3 below.
TABLE 3
The compressor connections are collated logic, as shown in Table 4 below.
TABLE 4
The reactor calibration logic is specifically shown in table 5 below.
TABLE 5
The logic for calibrating the compressor capacitance is shown in table 6 below.
TABLE 6
2. And establishing a product production detail automatic identification checking template according to the material characteristics, specifically, establishing a necessary material leakage checking template if the material characteristics are necessary materials. The necessary material leakage checking template is used for identifying whether necessary materials exist in the proofreading product or not and whether the necessary materials are leaked or not. Wherein the necessary materials comprise standard materials and standard auxiliary materials.
(1) Checking the standard auxiliary materials: some auxiliary materials are certain to exist in the electric control details, so that the standard auxiliary materials IT can be solidified to form a controller standard BOM template, and when the details are generated, automatic proofreading is carried out according to the coding section to check omission; if the main control panel is provided with identification codes, fluorescent insulating paint, tin wires, tin bars, scaling powder spray patterns and the like, the specific steps are shown in the following table 7.
TABLE 7
(2) Checking the standard ingredients: besides controller accessories, other standard materials exist in the complete machine detail, different standard material templates can be established according to different machine types (such as an inner machine, an outer machine and the complete machine), for example, a grounding wire, a temperature sensor, an electric wiring diagram, a compressor, a motor and the like are arranged in the outer machine, the coding sections of the materials are checked, and if the coding section does not exist, an error is reported.
3. And establishing a product production detail automatic identification checking template according to the material characteristics, specifically, establishing a multifunctional material leakage checking template if the material characteristics are multifunctional materials. The multifunctional material leakage checking template is used for identifying and checking whether the multifunctional material has leakage, namely whether the material name, the purpose, the use object and the like are consistent. (the multifunctional material leakage checking template can be effectively used for checking the leakage of some specific materials, such as screws, the functional purpose of the screws can be indicated by the screw remark column in the product production details, and the leakage can be checked by checking the screw remark column).
In the first step, according to the regulation, all the screws used by the electronic control in the air conditioner specification must be marked with the functions of the screws in the remark column, such as fixing the thread pressing plate screws, and the remark column can be marked with: the description of "fixed tension plate screw" is specific to the fixed tension plate.
Secondly, the PDM system detects whether specific material types (each material type has a fixed coding section) exist in the product production details to be identified and collated, such as specific material types (materials such as wire pressing plates, wire pressing seats, wire pressing covers, holding hooks, grounding wires, terminal boards, grounding plates and the like), and if the specific material types are detected, then checks whether the remark column contains specific characters: the method comprises the steps of checking leakage of 'fixed line ball board screw', judging whether a line ball board is pressed or not, judging whether characters of 'fixed line ball board screw' exist in a remark column if the characters of 'fixed line ball board screw' exist in the remark column, judging whether the characters of 'fixed line ball board screw' exist in the remark column are correct in detail and not reported, and if no character description exists in the remark column or the characters of 'fixed line ball board screw' exist in the remark column, reporting the errors, and specifically as shown in the following table 8.
TABLE 8
It should be noted that the above description of the component of the material, the component classification, and the code number are schematic examples, and allow changes, and parameters in the BOM creation guide form and typical materials may be extended.
According to the BOM, certain materials such as power lines and the like are selected according to the current value of the whole product; some materials are standard materials (such as screws and the like) or auxiliary materials, and are not allowed to be omitted; the method for intelligently identifying and correcting the production details of the product is provided according to the characteristics of various materials, different correction logic relations are edited according to the characteristics of different materials, the method can be specifically built in a PDM system through intelligent programming to form template correction logic for automatically identifying and judging the details, and when the correction logic is met, a BOM (Bill of Material) is edited and then a BOM correction button is clicked to pass; when the correction logic is not satisfied, clicking a BOM correction button to fail after the BOM is edited, prompting editors that the type selection is wrong or the materials are omitted, and outputting a correction result. Therefore, the method can be used for editing and correcting the production bill of materials according with the correction logic, and can improve the efficiency of compiling and the efficiency of the correction process, reduce the burden of all personnel and improve the quality.
As shown in fig. 2, in the embodiment of the present invention, the method for intelligently identifying and checking the product production details includes the following steps: establishing a BOM creation guide form; executing the collation logic; judging whether the logical relation is satisfied; if yes, outputting a qualified report, and editing by BOM; otherwise, outputting an unqualified report, modifying the BOM material, returning and re-calibrating.
The check template containing the check logic can be maintained in the PDM system in advance and used for calling when the check rule is executed, a BOM check item is added to a BOM edit task bar of the PDM system, when the BOM edit is completed, a BOM check button is clicked, three types of check templates in the system are called, the BOM material is automatically checked, and a check result is output.
In addition, the present invention also provides a system (a system for intelligently identifying and checking product production details), comprising: a readable storage medium to store executable instructions; and one or more processors for executing the method for intelligently identifying and checking the product production details according to the executable instructions.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. A method for intelligently identifying and correcting product production details is characterized by comprising the following steps:
establishing a product production detail automatic identification proofreading template according to the material characteristics;
selecting a corresponding product production detail automatic identification and proofreading template according to the material characteristics in the product production detail to be proofread, and carrying out automatic identification and proofreading on the material in the product production detail to be proofread by using the product production detail automatic identification and proofreading template;
establishing a product production detail automatic identification and proofreading template according to material characteristics, comprising:
if the material characteristics are multi-parameter materials, establishing a model selection template;
if the material is characterized by the necessary material, establishing a necessary material leak detection template;
if the material is characterized by a multifunctional material, establishing a multifunctional material leakage detection template;
selecting a corresponding product production detail automatic identification and proofreading template according to the material characteristics in the product production detail to be proofread, and automatically identifying and proofreading the material in the product production detail to be proofread by using the product production detail automatic identification and proofreading template, wherein the method comprises the following steps:
if the material characteristics are multi-parameter materials, selecting a model selection template, and automatically identifying and correcting the materials in the production details of the product to be corrected by using the model selection template;
if the material characteristics are the necessary materials, selecting a necessary material leakage detection template, and automatically identifying and correcting the materials in the production specification of the product to be corrected by using the necessary material leakage detection template;
if the material characteristics are multifunctional materials, selecting a multifunctional material leakage detection template, and automatically identifying and correcting the materials in the production details of the product to be corrected by using the multifunctional material leakage detection template;
wherein the method further comprises: establishing a BOM creation guide form; executing the collation logic; judging whether the logical relation is satisfied; if yes, outputting a qualified report, and editing by BOM; otherwise, outputting an unqualified report, modifying the BOM material, returning and re-calibrating.
2. The method of claim 1, wherein the automatic identification and proofreading of the material in the production detail of the product to be proofread using the type-selecting template comprises:
and automatically identifying material parameters in the production details of the product to be proofread, judging whether the proofreading logical relationship in the model selection template is met, and if so, passing the proofreading.
3. The method of claim 1, wherein automatically identifying and proofreading materials in the production detail of the product to be proofread using the requisite material leakage template comprises:
automatically identifying the material type information in the product production detail to be checked, comparing the material type information with the material type information in the leakage detection template, and if the material type information is consistent with the material type information in the leakage detection template, passing the checking; and the material category information is represented by a material coding segment.
4. The method of claim 1, wherein automatically identifying and proofreading the materials in the production details of the product to be proofread by using the multifunctional material leakage checking template comprises:
automatically identifying the material remark information in the product production detail to be checked, comparing the material remark information with the material remark information in the leakage checking template, and if the material remark information is consistent with the material remark information in the leakage checking template, passing the checking; the material remark information comprises material type information, material use information and use object information.
5. The method of claim 1, wherein the requisite materials include standard ingredients and standard excipients.
6. The method of claim 5, wherein different model for the leakage inspection of the calibration material is determined according to different product models.
7. The method of claim 1, wherein the product production specification is an air conditioner electronic control production specification, and the multi-parameter material comprises a power line, a power connecting line, a compressor connecting line, a reactor, and a compressor capacitor; the necessary materials comprise the necessary materials in the complete machine fine layer and the sub fine layer; the multifunctional material comprises a screw.
8. A system, comprising:
a readable storage medium to store executable instructions;
one or more processors configured to execute the method of product production detail intelligent identification proofing according to any one of claims 1 to 7 in accordance with the executable instructions.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20140112003A (en) * | 2014-08-27 | 2014-09-22 | 박호열 | Method and device for production management of surface mounted tfchnology |
| CN105205038A (en) * | 2015-09-18 | 2015-12-30 | 昆山龙腾光电有限公司 | Complete material list table generation method and device |
| CN106355375A (en) * | 2016-09-18 | 2017-01-25 | 福州大学 | Automatic confirming method of materials |
| CN106503893A (en) * | 2016-10-21 | 2017-03-15 | 郑州云海信息技术有限公司 | Complete automatization's method of calibration that high level material information is checked in OQC cancelling stocks |
| CN109472093A (en) * | 2018-11-14 | 2019-03-15 | 北京机电工程总体设计部 | A kind of threedimensional model method of calibration based on PDM system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202563547U (en) * | 2012-02-17 | 2012-11-28 | 深圳市英创立电子有限公司 | Element list processing system for electronic components |
-
2019
- 2019-09-16 CN CN201910873255.1A patent/CN110597206B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20140112003A (en) * | 2014-08-27 | 2014-09-22 | 박호열 | Method and device for production management of surface mounted tfchnology |
| CN105205038A (en) * | 2015-09-18 | 2015-12-30 | 昆山龙腾光电有限公司 | Complete material list table generation method and device |
| CN106355375A (en) * | 2016-09-18 | 2017-01-25 | 福州大学 | Automatic confirming method of materials |
| CN106503893A (en) * | 2016-10-21 | 2017-03-15 | 郑州云海信息技术有限公司 | Complete automatization's method of calibration that high level material information is checked in OQC cancelling stocks |
| CN109472093A (en) * | 2018-11-14 | 2019-03-15 | 北京机电工程总体设计部 | A kind of threedimensional model method of calibration based on PDM system |
Non-Patent Citations (1)
| Title |
|---|
| PDM管理BOM;共享文档;《https://m.baidu.com/sf_edu_wenku/view/c67d8eeb581b6bd97e19ea7f》;20160629;全文第1-2页 * |
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