CN109766449A - A kind of industry building of corpus method and device - Google Patents
A kind of industry building of corpus method and device Download PDFInfo
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- CN109766449A CN109766449A CN201811648140.4A CN201811648140A CN109766449A CN 109766449 A CN109766449 A CN 109766449A CN 201811648140 A CN201811648140 A CN 201811648140A CN 109766449 A CN109766449 A CN 109766449A
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- data
- operation data
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- metadata
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The present invention provides a kind of industrial building of corpus method and devices, wherein this method comprises: obtaining the operation data of industrial equipment；According to preset mapping relations, the operation data is mapped as metadata；The metadata is formed into corpus.The present invention tries the sample data and data identification model that example forms master pattern in fact, improves the efficiency that useful information is obtained from the operation data of equipment.
Description
Technical field
The present invention relates to industrial corpus technical field is constructed, in particular to a kind of industrial building of corpus method
And device.
Background technique
In industrial circle, because each factory is in process of production, the equipment of operation is different, the product of production or zero
Part is also different.In addition, the form of collected initial data is more when constructing industrial corpus for equipment, product or part
Sample can be the forms such as analog signal, clock signal or constant parameter.In the prior art, there are no corresponding technologies
The method that above-mentioned complicated and diversified industrial data is identified, handles, and then can not form corpus.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of industrial building of corpus method and devices, to form standard
The sample data and data identification model of model improve the efficiency that useful information is obtained from the operation data of equipment.
In a first aspect, the embodiment of the invention provides a kind of industrial building of corpus methods, comprising:
Obtain the operation data of industrial equipment；
According to preset mapping relations, the operation data is mapped as metadata；
The metadata is formed into corpus.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein institute
The operation data for stating acquisition industrial equipment further comprises:
Equipment end collector obtains the operation data of the equipment in real time, and by the operation data in the predetermined section time into
Row packing processing；
Source data source obtains from the equipment end collector and described is packaged treated operation data.
The possible embodiment of with reference to first aspect the first, the embodiment of the invention provides second of first aspect
Possible embodiment, wherein described to carry out the operation data got in the predetermined section time to be packaged processing further packet
It includes:
Filter out the invalid data in the equipment operating data；
Control data in the equipment operating data are encrypted；
The operation data is subjected to packing processing.
The possible embodiment of with reference to first aspect the first, the embodiment of the invention provides the third of first aspect
Possible embodiment, wherein the source data source from the equipment end collector obtain it is described be packaged treated operation
Data, comprising:
Target side data source obtains the packing according to preset equipment end collector address, from equipment end collector
Operation data that treated；
Treated that operation data is sent to source by the packing obtained from equipment end collector for target data source
End data source.
With reference to first aspect, the embodiment of the invention provides the 4th kind of possible embodiments of first aspect, wherein will
The operation data is mapped as metadata: at least one described operation data is mapped to a metadata.
With reference to first aspect, the embodiment of the invention provides the 5th kind of possible embodiments of first aspect, wherein institute
It states according to preset mapping relations, the operation data, which is mapped as metadata, further comprises:
Extract the data type and numerical value of the operation data；
According to preset mapping relations, the data type of the operation data and numerical value are mapped to metadata.
The 5th kind of possible embodiment with reference to first aspect, the embodiment of the invention provides the 6th kind of first aspect
Possible embodiment, wherein the metadata is formed into corpus, comprising:
According to the preset mapping relations, by the address of cache of equipment end at logical implication；
According to the logical implication and the metadata, corpus is formed.
Second aspect, the embodiment of the invention provides a kind of industrial building of corpus devices, comprising:
Data acquisition module, for obtaining the operation data of industrial equipment；
Metadata generation module, for according to preset mapping relations, the operation data to be mapped as metadata；
Corpus generation module, for the metadata to be formed corpus.
In conjunction with second aspect, the embodiment of the invention provides the first possible embodiments of second aspect, wherein number
Include: according to module is obtained
Data processing unit, for making equipment end collector obtain the operation data of the industrial equipment in real time, and by one
Operation data in the predetermined section time carries out packing processing；
Data capture unit, for source data source from the equipment end collector obtain it is described be packaged treated operation
Data.
The possible embodiment of with reference to first aspect the first, the embodiment of the invention provides the third of first aspect
Possible embodiment, wherein data capture unit is for including:
Filter out the invalid data in the equipment operating data；
Control data in the equipment operating data are encrypted；
The operation data is subjected to packing processing.
Industry building of corpus method and device provided in an embodiment of the present invention, reflects using by the operation data feature of equipment
It is mapped to the feature of corpus, the method for forming corpus is more to above-mentioned complexity with corresponding technology not yet in the prior art
The industrial data of sample is identified, is handled, and then the method that can not form corpus is compared, which form standard identification model,
Improve the efficiency that useful information is obtained from the operation data of equipment.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 shows a kind of flow chart of industry building of corpus method provided by the embodiment of the present invention；
Fig. 2 shows the flow charts of the industrial building of corpus method of another kind provided by the embodiment of the present invention；
Fig. 3 shows a kind of feature of the operation data of equipment provided by the embodiment of the present invention and the feature of corpus
The schematic diagram of mapping relations；
Fig. 4 shows a kind of structural schematic diagram of industry building of corpus device provided by the embodiment of the present invention.
Fig. 5 shows the structural schematic diagram of the industrial building of corpus device of another kind provided by the embodiment of the present invention.
Main element symbol description: data processing unit 101；Data capture unit 102；Data acquisition module 10；First number
According to generation module 11；And corpus generation module 12.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
Middle attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
It is a part of the embodiment of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings is real
The component for applying example can be arranged and be designed with a variety of different configurations.Therefore, of the invention to what is provided in the accompanying drawings below
The detailed description of embodiment is not intended to limit the range of claimed invention, but is merely representative of selected reality of the invention
Apply example.Based on the embodiment of the present invention, those skilled in the art institute obtained without making creative work
There are other embodiments, shall fall within the protection scope of the present invention.
In view of being identified, being handled to above-mentioned complicated and diversified industrial data there are no corresponding technology, and then formed
The method of corpus is based on this, and the embodiment of the invention provides a kind of industrial building of corpus method and devices, below by reality
Example is applied to be described.
The embodiment of the present application provides a kind of industrial building of corpus method, as shown in Figure 1, include step S101-S103,
It is specific as follows:
Step S101 obtains the operation data of industrial equipment.
In the embodiment of the present application, when constructing corpus for industrial equipment, need to obtain the operation data of industrial equipment.
Wherein, the operation data of equipment includes the collected data of detection device being arranged in equipment, the hardware address of equipment itself
And several in the data such as storage address of operating parameter of storage equipment.The form of above-mentioned data be not it is unique,
It can be clock signal or analog signal, can also be invariable parameter, or image.
The operation data of equipment is generally stored inside different sources, such as database, the memory or file of equipment.As
A kind of possible embodiment obtains the operation data of industrial equipment by step S1010-S1011:
In the embodiment of the present application, setting data model tentatively locates the operation data of the industrial equipment acquired
Reason, data model include source data source and target side data source, and source data source linking objective end data source adds for parsing
The operation data of close equipment.
Step S1010, equipment end collector obtain the operation data of industrial equipment in real time, and will be in the predetermined section time
Operation data carries out packing processing.
In the embodiment of the present application, equipment end collector refers to acquires equipment running status close to running equipment installation in real time
Equipment, such as the host computer or edge calculations machine of equipment.Equipment generates the speed of data quickly, even up to millisecond rank,
The generation speed of the operation data of equipment is not achieved in data of several milliseconds of generations, the transmission rate of equipment end collector.One is pre-
Determine in the section time, can be any time period, generally, the time interval generated much larger than data.Such as, equipment end collector is adopted
The time interval for collecting the operation data of equipment is several milliseconds, and transmission primaries data per second, equipment end can be by 1 second time time interval
Interior data are packaged, and are uniformly sent to source data source.
As an alternative embodiment, the method that equipment end is packaged the operation data of equipment, specific as follows:
One, the invalid data in filtering equipment operation data.
Two, the control data in equipment operating data are encrypted.
Three, operation data is subjected to packing processing.
Specifically, in order to save channel resource, new data or occur more that equipment end collector transmission device generates
The data changed.If the operation data of equipment does not change, it is not transmitted to source data source.These unchanged equipment
Operation data is exactly invalid data.Illegal data or junk data in the operation data of equipment production are also taken as in vain
Data dump.After monitoring data or control data to industrial equipment are encrypted, source data source is transmitted.
The operation data for the equipment being set forth below refers both to changed data in the operation data of equipment.
Step S1011, source data source obtain from equipment end and are packaged treated operation data.
As an alternative embodiment, above-mentioned source data source is obtained from equipment end is packaged treated operation data
Method, it is specific as follows:
Target data source is according to preset equipment end collector address, after the acquisition packing processing of equipment end collector
Operation data；Treated that operation data is sent to source data by the packing obtained from equipment end collector for target data source
Source.
Specifically, equipment end collector only acquires the operation data of equipment, do not have transfer function, transport protocol is all provided with
It sets in target side data source, target side data source is sent to equipment end collector by the address of access equipment end collector and passed
Defeated request, establishes communication protocol, obtains the operation data that is packaged that treated.Target data source by above-mentioned packing treated operation
Data are transferred to source data source, and the operation data of treated operation data parsing forming apparatus will be packaged by source data source,
The operation data of industrial equipment include changed equipment operating data value, variation equipment operating data type.
The operation data of equipment is that generally have different structures, that is, more from the collected data of different equipment ends
Source isomeric data.In the data that above-mentioned multi-source heterogeneous data are formed to unified structure by mapping relations for the treatment of process.It can
The method in step S102 can be used in selection of land.
Operation data is mapped as metadata according to preset mapping relations by step S102.
In the embodiment of the present application, above-mentioned mapping relations refer to the feature of the operation data of equipment and the mapping of corpus planting modes on sink characteristic
Relationship.Metadata refers to that the feature of the current time equipment operating data corresponding corpus planting modes on sink characteristic in mapping relations (refers specifically to spy
Value indicative).As an alternative embodiment, step S102 method particularly includes:
Extract the data type and numerical value of operation data.
According to preset mapping relations, the data type of operation data and numerical value are mapped to metadata.
In the embodiment of the present application, preset mapping relations refer to the numerical value and type and first number of the operation data of equipment
According to corresponding relationship.For the specific method of above-mentioned steps S102, specifically, the operation data of equipment is generally multi-source heterogeneous
Data, type and the numerical value difference of data.In the operation data of the resolver analytical equipment of target side data source data type and
Data.Temperature sensor, light sensor and pulse clock and storage are provided with by taking intelligent refrigerator as an example, on intelligent refrigerator
The equipment ends such as the memory of the temperature of user setting, the real-time temperature collection information of temperature sensor, usually real-time change is simulated
Signal, light sensor only user open refrigerator when, can just collect light signal, for every a period of time generate when
Ordinal number evidence, the frequency of pulse clock are constant parameter.When the temperature change in only intelligent refrigerator, the operation number of intelligent refrigerator
According to for temperature information, the parsing of the resolver by target side data source, the type for obtaining temperature signal is analog signal, data
It is 23 degree, is merely given as a kind of possibility here, data value is not limited to 23 degree.
As an alternative embodiment, the method that the operation data of equipment is mapped as metadata are as follows: by least one
Operation data is mapped to a metadata.
In the embodiment of the present application, the feature of the operation data of equipment is not limited to correspond with corpus planting modes on sink characteristic, such as Fig. 3
Shown is the schematic diagram of above-mentioned mapping relations.When say be at least one equipment in the operation data for having equipment operation data hair
When raw change, the feature of multiple corresponding corpus will be obtained.
Metadata is formed corpus by step S103.
In the embodiment of the present application, corpus store all industrial equipments of last moment operation data it is corresponding
Corpus planting modes on sink characteristic, the specific form of corpus planting modes on sink characteristic are characterized value.The operation data of all devices corresponds to several features
Value, thus all industrial equipments the corresponding corpus planting modes on sink characteristic of operation data it is practical be feature vector.
As a kind of possible embodiment, step S103 further includes following methods: according to preset mapping relations,
By the address of cache of equipment end at logical implication；According to logical implication and metadata, corpus is formed.
Specifically, above-mentioned mapping relations further include the address spy corresponding with the operation data that the equipment generates of equipment end
Levy storage location of the vector in corpus.According to the address of equipment end, the corresponding spy of operation data of current time equipment
Sign vector is put into the corresponding address of corpus according to above-mentioned mapping relations, updates the feature of the corpus of the equipment.It is formed
The corpus that corpus is formed can be used directly for model training.
The embodiment of the present application also provides a kind of industrial building of corpus devices, as shown in figure 4, including data acquisition module
10, metadata generation module 11 and corpus generation module 12:
Data acquisition module 10, for obtaining the operation data of industrial equipment.
In the embodiment of the present application, when constructing corpus for industrial equipment, need to obtain the operation data of industrial equipment.
Wherein, the operation data of industrial equipment includes the collected data of detection device being arranged in equipment, the hardware of equipment itself
Address and store several in the data such as the storage address of operating parameter of equipment.The form of above-mentioned data is not unique
, it can be clock signal or analog signal, can also be invariable parameter, or image.
Optionally, as shown in figure 5, data acquisition module 10 includes data processing unit 101 and data capture unit 102:
Data processing unit 101, for making equipment end collector obtain the operation data of industrial equipment in real time, and by the predetermined section time
Interior operation data carries out packing processing；Data capture unit 102 is obtained from equipment end collector for source data source and is packaged
Operation data that treated.
In the embodiment of the present application, setting data model tentatively locates the operation data of the industrial equipment acquired
Reason, data model include source data source and target side data source, and source data source linking objective end data source adds for parsing
The operation data of close equipment.
In the embodiment of the present application, equipment end collector refers to acquires equipment running status close to running equipment installation in real time
Equipment, such as the host computer or edge calculations machine of equipment.Equipment generates the speed of data quickly, even up to millisecond rank,
The generation speed of the operation data of equipment is not achieved in data of several milliseconds of generations, the transmission rate of equipment end collector.One is pre-
Determine in the section time, can be any time period, generally, the time interval generated much larger than data.
As an alternative embodiment, data capture unit is specifically used for including: in filtering equipment operation data
Invalid data；Control data in equipment operating data are encrypted；Operation data is subjected to packing processing.
Specifically, in order to save channel resource, new data or occur more that equipment end collector transmission device generates
The data changed.If the operation data of equipment does not change, it is not transmitted to source data source.These unchanged equipment
Operation data is exactly invalid data.Illegal data or junk data in the operation data of equipment production are also taken as in vain
Data dump.After monitoring data or control data to equipment are encrypted, source data source is transmitted.Below
The operation data of the equipment of narration refers both to changed data in the operation data of equipment.
Metadata generation module, for according to preset mapping relations, operation data to be mapped as metadata.
In the embodiment of the present application, above-mentioned mapping relations refer to the feature and corpus planting modes on sink characteristic of the operation data of industrial equipment
Mapping relations.Metadata refers to the feature of the current time industrial equipment operation data corresponding corpus planting modes on sink characteristic in mapping relations
(referring specifically to characteristic value).
Corpus generation module, for metadata to be formed corpus.
In the embodiment of the present application, corpus stores the corresponding corpus of operation data of all devices of last moment
Planting modes on sink characteristic, the specific form of corpus planting modes on sink characteristic are characterized value.The operation data of all devices corresponds to several characteristic values, because
The practical corresponding corpus planting modes on sink characteristic of the operation data of this all devices is feature vector.The corpus of formation can directly be model
Training uses.
Based on above-mentioned analysis it is found that with corresponding technology not yet in the related technology to above-mentioned complicated and diversified industrial number
According to being identified, handled, and then the method that can not form corpus is compared, industry building of corpus provided in an embodiment of the present invention
Method is utilized the feature of the operation data Feature Mapping of equipment to corpus, and the method for forming corpus forms master die
The sample data and data identification model of type improve the efficiency that useful information is obtained from the operation data of equipment.
The computer program product of industrial building of corpus method and device is carried out provided by the embodiment of the present invention, including
The computer readable storage medium of program code is stored, the instruction that said program code includes can be used for executing previous methods reality
Method described in example is applied, specific implementation can be found in embodiment of the method, and details are not described herein.
The device of industry building of corpus method and device provided by the embodiment of the present invention can be specific in equipment
Hardware or the software being installed in equipment or firmware etc..Device provided by the embodiment of the present invention, realization principle and generation
Technical effect it is identical with preceding method embodiment, for briefly describe, Installation practice part do not refer to place, can refer to aforementioned
Corresponding contents in embodiment of the method.It is apparent to those skilled in the art that for convenience and simplicity of description, it is preceding
The system of description, the specific work process of device and unit are stated, the corresponding process during reference can be made to the above method embodiment,
This is repeated no more.
In embodiment provided by the present invention, it should be understood that disclosed device and method, it can be by others side
Formula is realized.The apparatus embodiments described above are merely exemplary, for example, the division of the unit, only one kind are patrolled
Function division is collected, there may be another division manner in actual implementation, in another example, multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be INDIRECT COUPLING or communication link by some communication interfaces, device or unit
It connects, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in embodiment provided by the invention can integrate in one processing unit, it can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing, in addition, term " the
One ", " second ", " third " etc. are only used for distinguishing description, are not understood to indicate or imply relative importance.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art
In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention.Should all it cover in protection of the invention
Within the scope of.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of industry building of corpus method characterized by comprising
Obtain the operation data of industrial equipment；
According to preset mapping relations, the operation data is mapped as metadata；
The metadata is formed into corpus.
2. the method according to claim 1, wherein the operation data for obtaining industrial equipment is further wrapped
It includes:
Equipment end collector obtains the operation data of the industrial equipment in real time, and by the operation data in the predetermined section time into
Row packing processing；
Source data source obtains from the equipment end collector and described is packaged treated operation data.
3. according to the method described in claim 2, it is characterized in that, the operation data that will be got in the predetermined section time
Carrying out packing processing further comprises:
Filter out the invalid data in the equipment operating data；
Control data in the equipment operating data are encrypted；
The operation data is subjected to packing processing.
4. according to the method described in claim 2, it is characterized in that, the source data source is obtained from the equipment end collector
It is described to be packaged treated operation data, comprising:
Target side data source obtains the packing processing according to preset equipment end collector address, from equipment end collector
Operation data afterwards；
Treated that operation data is sent to source number by the packing obtained from equipment end collector for target data source
According to source.
5. further being wrapped the method according to claim 1, wherein the operation data is mapped as metadata
It includes: at least one described operation data is mapped to a metadata.
6. the method according to claim 1, wherein described according to preset mapping relations, by the fortune
Row data are mapped as metadata:
Extract the data type and numerical value of the operation data；
According to preset mapping relations, the data type of the operation data and numerical value are mapped to metadata.
7. according to the method described in claim 6, it is characterized in that, the metadata is formed corpus, comprising:
According to the preset mapping relations, by the address of cache of equipment end at logical implication；
According to the logical implication and the metadata, corpus is formed.
8. a kind of industry building of corpus device characterized by comprising
Data acquisition module, for obtaining the operation data of industrial equipment；
Metadata generation module, for according to preset mapping relations, the operation data to be mapped as metadata；
Corpus generation module, for the metadata to be formed corpus.
9. device according to claim 8, which is characterized in that data acquisition module includes:
Data processing unit makes a reservation for for making equipment end collector obtain the operation data of the industrial equipment in real time, and by one
Operation data in the section time carries out packing processing；
Data capture unit, for source data source from the equipment end collector obtain it is described be packaged treated operation number
According to.
10. device according to claim 9, which is characterized in that data capture unit is for including:
Filter out the invalid data in the equipment operating data；
Control data in the equipment operating data are encrypted；
The operation data is subjected to packing processing.
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| CN201811648140.4A CN109766449A (en) | 2018-12-29 | 2018-12-29 | A kind of industry building of corpus method and device |
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| CN201811648140.4A CN109766449A (en) | 2018-12-29 | 2018-12-29 | A kind of industry building of corpus method and device |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130226907A1 (en) * | 2012-02-23 | 2013-08-29 | Applied Materials, Inc. | Providing dynamic content in context of particular equipment |
| US20160283523A1 (en) * | 2015-03-24 | 2016-09-29 | International Business Machines Corporation | Schema generation using natural language processing |
| CN106527383A (en) * | 2016-12-15 | 2017-03-22 | 中国科学院沈阳自动化研究所 | CPS control system for industry and realization method thereof |
| CN108027911A (en) * | 2015-07-29 | 2018-05-11 | 伊利诺斯工具制品有限公司 | Promote the system and method that welding is service software |
-
2018
- 2018-12-29 CN CN201811648140.4A patent/CN109766449A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130226907A1 (en) * | 2012-02-23 | 2013-08-29 | Applied Materials, Inc. | Providing dynamic content in context of particular equipment |
| US20160283523A1 (en) * | 2015-03-24 | 2016-09-29 | International Business Machines Corporation | Schema generation using natural language processing |
| CN108027911A (en) * | 2015-07-29 | 2018-05-11 | 伊利诺斯工具制品有限公司 | Promote the system and method that welding is service software |
| CN106527383A (en) * | 2016-12-15 | 2017-03-22 | 中国科学院沈阳自动化研究所 | CPS control system for industry and realization method thereof |
Non-Patent Citations (2)
| Title |
|---|
| 张勇 等: "《德语基础语言学导论》", 31 December 2016, 北京理工大学出版社 * |
| 陈珂: "《长江三角洲自然灾害数据库建设与风向评估》", 30 September 2018, 上海交通大学出版社 * |
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