CN102780766A - Design service resource cross-domain construction method for cloud manufacturing - Google Patents
Design service resource cross-domain construction method for cloud manufacturing Download PDFInfo
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- CN102780766A CN102780766A CN2012102232998A CN201210223299A CN102780766A CN 102780766 A CN102780766 A CN 102780766A CN 2012102232998 A CN2012102232998 A CN 2012102232998A CN 201210223299 A CN201210223299 A CN 201210223299A CN 102780766 A CN102780766 A CN 102780766A
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Abstract
The invention discloses a design service resource cross-domain construction method for cloud manufacturing. Application scenes are constructed by means of structure design service resources, and cloud manufacturing design service resource units are subjected to modeling from multi-domain angles of behavior fields, feature fields and data fields; the cloud manufacturing design service resources with different granularity meet the requirement of cloud manufacturing services and are comprehensively generated by the behavior fields, the feature fields and the data fields; and a cluster table of the cloud manufacturing design service resources is established and the cloud manufacturing design service resources are stored in the cluster table. The design service resource cross-domain construction method is high in efficiency, low in cost, reusable and capable of effectively improving construction efficiency performances of the design service resources which meet the requirement of the cloud manufacturing resources in cloud manufacturing modes, reducing computing resource consumption and solving the problem that current networking manufacturing technologies lack dynamic natures and difficultly performs dynamic resource allocation and resource combinations according to manufacturing resource requirements due to the fact that the current networking manufacturing technologies provide services for users by means of a fixed amount of resources or established solutions.
Description
Technical field
The present invention relates to a kind of advanced manufacturing system, relate in particular to a kind of cross-domain construction method of making towards cloud of design services resource.
Background technology
Under the internationalization background of the economic fast development of science and technology, manufacturing informatization becomes one of industrial development grand strategy.Round optimization configuration enterprise inside and outside resource; Respond the market demand rapidly; Produce high-quality, low cost, low consumed product faster; Arise at the historic moment to improve manufacturing modes such as the lean production that enterprise competitiveness is a target, quick manufacturing, design supply chain, networking manufacturing, promoted development of modern industry greatly, and made manufacturing development rely on the promotion that high and new technology is used more.Google company proposed the new technology of cloud computing on technical foundation such as parallel computation, Distributed Calculation and grid computing in 2007; It is with designization, effectiveness calculate, with infrastructure as service, with platform as service and with software as the mixing evolution of notions such as service and rise to, and become the information technology in forward position immediately.In order to utilize new technology to promote the manufacturing development of China; Is that the researcher of representative proposes cloud and makes notion with Li Baihu on the basis of cloud computing technology---" a kind of service-oriented; efficient low-consume and based on networking, agilityization manufacturing new model and the technological means of knowledge ", and positive its pattern architecture and key technology are explored and are studied.
The cloud manufacturing is to take contemporary information technology forward position theory (for example cloud computing); Expand the theory of " software is promptly served " to " making i.e. service "; Support China's manufacturing industry under Internet resources environment widely, the service of high added value, low cost and globalization manufacturing is provided for product.Information technologies such as existing information manufacturing technology and cloud computing, Internet of Things, service-oriented, high-performance calculation and intelligence science technology have been merged in the cloud manufacturing; Through with all kinds of manufacturing resources and manufacturing capacity designization, serviceization; Constitute designization manufacturing resource and manufacturing capacity pond; And the intelligent management and the operation of unifying, concentrate; Realize all-win, generalization and share efficiently and collaborative, utilize multiple terminals, multi-platform, many networks for the user provide can obtain at any time, that use, safe and reliable, manufacturing Life cycle service that high-quality is cheap as required.
The design services resource is set up the granularity according to user's request of cloud manufacturing platform or task; A series of realization physics are made resource (making resource and soft manufacturing resource firmly) according to certain flow process and principle combinations; Form varigrained manufacturing cloud service or manufacturing capacity; Making the terminal use for cloud and provide personalized service, is one of key technology that realizes cloud manufacturing distribution according to need and combination of resources, to the enforcement of cloud manufacturing with carry out and have important function.What current Network Manufacturing Technology embodied on resource allocation and combination of resources is the autonomous system of an integral body; Be that resource or set solution with fixed qty is that the user provides service; Lack dynamic, be difficult to carry out Dynamic Resource Allocation for Multimedia and combination of resources according to making resource requirement.
Summary of the invention
The object of the present invention is to provide a kind of cross-domain construction method of making towards cloud of design services resource, design the Service Source combination down according to the cloud manufacturing mode and require the high characteristics of dynamic, proposed to make Service Source unit modeling method based on the cloud of multiple domain; Make Service Source-behavior-characteristic multiple domain model through making up cloud simultaneously, set up the cloud designing for manufacturing Service Source construction method based on cross-domain fusion, having provided corresponding cloud designing for manufacturing Service Source bunch is the dial framework structure.
To achieve these goals, the step of the technical scheme of the present invention's employing is following:
1.1) designing Service Source combination dynamic characters down according to the cloud manufacturing mode, structure design services resource is set up application scenarios, and the multiple domain angle of subordinate act territory, property field and data field is to the unit modeling of cloud designing for manufacturing Service Source;
1.2) cloud designing for manufacturing Service Source constraints is decomposed into behavioral requirements, feature requirement and demand data; Make resource behavioral requirements, feature requirement and demand data through cloud; In behavior territory, property field and data field, adopt series, parallel and complex method respectively; With the cross-domain successively recurrence combination of characteristic node in behavior node, the property field in the behavior territory; Realization is combined as the behavioural characteristic output that another kind of cloud manufacturing platform user needs from given behavior-feature request recurrence, and comprehensive generation of last behavior territory, property field and data field satisfied the varigrained cloud designing for manufacturing Service Source that cloud is made demand for services;
1.3) in step 1.2) and the basis on; Setting up cloud designing for manufacturing Service Source bunch is table; With the behavior-characteristic of cloud designing for manufacturing Service Source model as unique recognition coding; To cloud designing for manufacturing Service Source bunch is being that table is stored, and reduces cloud designing for manufacturing Service Source and sets up and find the solution the hunting zone.
Cloud designing for manufacturing Service Source unit is defined as the fundamental that constitutes cloud designing for manufacturing Service Source; It is the manufacturing cloud service resource that obtains a definite minimum set of variables output with a minimum set of variables as input; The design services resource representation that cloud designing for manufacturing Service Source unit and combination thereof realize is three layers of domain structure; Be service-domain, property field, behavior territory; The topological diagram of three layers of domain structure of structure is defined as cloud designing for manufacturing Service Source figure, and cloud designing for manufacturing Service Source unit is with orderly quadruple form description; Adopt series, parallel and complex method that many clouds are made the Service Source combination and realize making cloud design services resource, be the another kind of Service Source demand that satisfies cloud manufacturing platform user from given functional shift.
Based on behavioral requirements, feature requirement and demand data are extracted and be decomposed into to cloud designing for manufacturing Service Source constraints; And be mapped as constraint of resource behavior constraint, resource characteristic and resource data constraint; Structure behavior-Feature Mapping vector, characteristic-data map vector; Obtain initial cloud designing for manufacturing Service Source, to the initial modeling of cloud designing for manufacturing Service Source;
1) resource behavior constraint modeling
It is initial to make the demand input by cloud, the resource behavior constrain set of traversal behavioral requirements mark, and it is following to obtain resource behavior restricted model: D={N
ID, j, (d)
j, in the formula, N
IDFlag node for the resource behavior; J is behavior flag node N
IDThe label of a series of behavior gauge points in cloud manufacturing operation implementation; (d)
jBe behavior flag node N
IDThe behavioural characteristic that j is ordered in cloud manufacturing operation implementation;
2) resource behavioural characteristic constraint modeling
It is initial to make the demand input by cloud, the resource behavioural characteristic constrain set of traversal behavioural characteristic demand mark, and it is following to obtain resource behavioural characteristic restricted model: L={E
ID, i, (α)
i, in the formula, E
IDFlag node for the resource behavioural characteristic; I is behavioural characteristic flag node E
IDThe label of a series of behavioural characteristic gauge points in cloud manufacturing operation implementation; α
iBe behavioural characteristic flag node E
IDThe data set of i point behavioural characteristic in cloud manufacturing operation implementation;
3) resource data constraint
It is initial to make the demand input by cloud, the resource characteristic data constraint set of traversal characteristic demand mark, and it is following to obtain resource characteristic data constraint model: J={E
ID, k, (d)
k, α
k, in the formula, E
IDFlag node for the resource behavioural characteristic; K is behavioural characteristic flag node E
IDThe label of a series of behavioural characteristic gauge points in cloud manufacturing operation implementation; (d)
kBe behavior flag node N
IDThe behavioural characteristic that k is ordered in cloud manufacturing operation implementation; α
kBe behavioural characteristic flag node E
IDThe data set of k point behavioural characteristic in cloud manufacturing operation implementation;
4) mapping vector
T
LBe defined as behavior-Feature Mapping, by the characteristic type vector t of behavior nodal scheme set to behavior
LMapping, i.e. ξ (V
A) Θ ξ (V
C) → t
L, T
JBe defined as characteristic-data map, gather to data vector t by continuous service features layer medium cloud service features
JMapping, i.e. ξ (V
C) → t
J
Making Service Source according to cloud bunch is the table characteristics; Cloud designing for manufacturing Service Source bunch is by three layers of storage architecture in the table; The superiors are restraint layer, and the intermediate layer is a basal layer, cloud is made real 0 example of Service Source unit and cloud designing for manufacturing Service Source be divided into S type (S-type), L type (L-type) and D type (D-type); Orlop is the data dictionary layer, and essential informations such as the title that S class, L type and D type are corresponding, case history are storage successively in the tabulation layer.
According to the model of cloud designing for manufacturing Service Source needs behavior-characteristic input, set up pattern based on the cloud designing for manufacturing Service Source of multiple domain recurrence and can be divided into the single output mode of single input, single input multi-output mode with output; With the formal representation of conceptual design initial graph through matrix, making Service Source in conjunction with cloud bunch is table, the design services resource is set up found the solution.
The beneficial effect that the present invention has is:
1. institute of the present invention extracting method is a kind of high efficiency, low cost and reusable design services resource construction method, can effectively improve and satisfy the design services resource establishment efficient performance that cloud is made resource requirement under the cloud manufacturing mode, reduces computational resource consumption.
2. a series of realization physics are made resource (making resource and soft manufacturing resource firmly) according to certain flow process and principle combinations; Form varigrained manufacturing cloud service or manufacturing capacity; Making the terminal use for cloud provides personalized service; Solution current network manufacturing technology is that the user provides service with the resource or the set solution of fixed qty, lacks dynamic, is difficult to according to making the problem that Dynamic Resource Allocation for Multimedia and combination of resources are carried out in resource requirement.
Description of drawings
Fig. 1 is that cloud designing for manufacturing Service Source of the present invention is set up the module operational flow diagram.
Fig. 2 is cloud designing for manufacturing Service Source figure of the present invention.
Fig. 3 is a design services resource construction method flow chart of the present invention.
Fig. 4 is that designing for manufacturing Service Source of the present invention bunch is three layers of storage rack composition in the table.
Embodiment
Below in conjunction with accompanying drawing and embodiment the present invention is made further detailed description.
As shown in Figure 1, the key step of the cloud designing for manufacturing Service Source construction method of native system has:
1.1) combine service modeling module, cross-domain Fusion Module, extract the demand for services that the user needs, obtain design objective, obtain the key characteristics such as behavior, characteristic, data, base attribute of cloud service unit through resolver;
1.2) according to the cloud service element characteristics, structure design services resource is set up application scenarios, the multiple domain angle of subordinate act territory, property field, data field is made Service Source unit modeling to cloud;
1.3) extract through the user's request of cloud manufacturing platform; Cloud designing for manufacturing Service Source constraints is decomposed into behavioral requirements, feature requirement and demand data; Setting up on the initial cloud designing for manufacturing Service Source basis; Make resource behavioral requirements, feature requirement and demand data through cloud; In behavior territory, property field and data field, adopt series, parallel and mode such as compound respectively,, realize from certain given behavior-feature request recurrence being combined as the behavioural characteristic output that another kind of cloud manufacturing platform user needs the combination of characteristic node in behavior node, the property field in behavior territory recurrence successively; From two angles of single output of single input and the many outputs of single input, the comprehensive generation of behavior territory, property field and data field satisfied the varigrained cloud designing for manufacturing Service Source that cloud is made demand for services;
1.4) on the basis of step 1.3, setting up cloud designing for manufacturing Service Source bunch is table, as unique recognition coding, bunch is being table store to cloud designing for manufacturing Service Source with the behavior-characteristic of cloud designing for manufacturing Service Source model;
As shown in Figure 2, figure is specific as follows for the corresponding cloud designing for manufacturing of the present invention Service Source: in the Service Source layer, the cloud service unit R is labeled as the node of figure, the execution sequencing of directed edge tag cloud service unit R.In the service behavior layer, the behavior B in the cloud service unit R behavior territory is labeled as the node of figure, and the characteristic C in the cloud service unit R property field is labeled as directed edge; In the service features layer, the characteristic C in the cloud service unit R property field is labeled as the node of figure, and the data D in the cloud service unit R property field in the data field of characteristic C is designated as directed edge; Behavior node in the service behavior layer is mapped to the characteristic node in the service features layer through behavior-Feature Mapping collection, is mapped to the cloud service cell node in the Service Source layer through resource-behavior mapping ensemblen.n
1=| V
R|, the quantity of Service Source layer medium cloud service unit domain node; n
2=| V
A|, the quantity of behavior domain node in the service behavior layer; n
3=| V
C|, the quantity of property field node in the service features layer; m
1=| E
R|, the quantity on Service Source layer medium cloud service unit limit; m
2=| E
A|, the quantity on service behavior layer medium cloud service behavior limit; m
3=| E
C|, the quantity on service features layer medium cloud service features limit;
The set of node of Service Source layer medium cloud service unit;
The set of node in behavior territory in the service behavior layer;
The set of node of property field in the service features layer;
According to the cloud service cell node collection of setting up the design services resource;
According to the behavior set of node of setting up the design services resource;
According to the characteristic node collection of setting up the design services resource; V (vr
i)=pr
i, the mapping of Service Source layer medium cloud service unit set of node label; V (va
i)=pa
i, the mapping of service behavior layer medium cloud service behavior set of node label; V (vc
i)=pc
i, the mapping of service features layer medium cloud service features set of node label;
The limit collection of Service Source layer medium cloud service unit;
The limit collection of service behavior layer medium cloud service behavior;
The limit collection of service features layer medium cloud service features;
According to the cloud service element sides collection of setting up the design services resource;
According to the cloud service behavior limit collection of setting up the design services resource;
According to the cloud service characteristic edge collection of setting up the design services resource; ε (er
Ij)=qr
i, the mapping of Service Source layer medium cloud service unit limit collection label; ε (ea
Ij)=qa
i, the mapping of service behavior layer medium cloud service behavior limit collection label; ε (ec
Ij)=qc
i, the mapping of service features layer medium cloud service features limit collection label.
As shown in Figure 3, based on the key step of the cloud designing for manufacturing Service Source construction method of multiple domain recurrence be:
Step 0: definition
Be resource behavior layer initial graph G
A, iniThe initialization vertex ticks,
Be resource behavior layer initial graph G
A, iniThe unmarked set of node of initialization be designated as v
Ini(va
Ini)=pa
IniBe resource behavior layer initial graph G
A, iniInitialization nodal scheme mapping, ε
Ini(ea
Ij)=qa
IjBe resource behavior layer initial graph G
A, iniThe mapping of initialization limit label;
Step 1: initialization search sequence number K, K=-1; The quantity k of the candidate designs Service Source that initialization generates automatically, k=-1;
Step 2:K=K+1, making Service Source from cloud bunch is to select n the table
KThe figure G of individual node
K, check its availability ∑ sw
iIf n
K>=n
Ini, then next step, otherwise repeating step 1;
Step 3: to G
KSet of node V
AThe exchange of sorting generates the vectorial s of ordering exchange,
In the formula,
Node for the exchange of sorting;
Be V
AIn remaining node, press the label ascending order and arrange.Subgraph H
ANode by n
IniConstitute, at the ordering interchange graph
Connect subgraph H among the figure
A, use va
Iniε a
IniTo subgraph H
ACarry out mark, obtain G
ASubgraph H
AThrough subgraph H
A, the vectorial s of ordering exchange is to G
AThe exchange of sorting, the final ordering interchange graph that generates
Accomplish n
A, ini-a kind of ordering test is accomplished, and then returns step 1;
Step 4: if G
A, iniThe limit be included in the subgraph, behavior simultaneously and behavioral trait data also are complementary, then
Otherwise return step 2, select the new subgraph H of s' ordering
A
Step 5: interchange graph will sort
In do not have the node of mark and limit to be labeled as va successively
K+1With ε a
K+1, k=max (pa wherein
i, qa
Ij)+1, i, j=0,1 ..., n
A, ini, obtain resource behavior layer design services resource behavior figure
Step 6:, obtain resource characteristic layer initial graph G through resource behavior layer and resource characteristic interlayer behavior-Feature Mapping
C, iniThe initialization vertex ticks
The unmarked set of node of initialization
Initialization nodal scheme mapping v
Ini(vc
Ini)=pc
IniWith initialization limit label mapping ε
Ini(ec
Ij)=qc
Ij, repeat above-mentioned steps, obtain resource characteristic layer design services resource characteristics figure
Step 7: the resource characteristic layer design services resource characteristics figure
of acquisition can be divided into complete match service behavior and the behavior of part match service.Wherein, the match service behavior refers to meet simultaneously J fully
InAnd J
OutService behavior.The behavior of part match service refers to meet J
InOr meet J
OutService behavior, if the behavior of part match service is J '
OutWith J '
InCoupling is J
c, it is comprehensive, as shown in Figure 2 then to carry out service behavior by rule;
Step 8: generate design services resource
node and the limit label according to
simultaneously; Inspection bunch is whether repetition is arranged in the table; If design services resource isomorphism is deleted this design services resource; Otherwise then k=k+1 returns step 2.
As shown in Figure 4, be that the corresponding designing for manufacturing Service Source of the present invention bunch is three layers of storage architecture in the table.The superiors are restraint layer, with the behavioural characteristic classification of type of different cloud designing for manufacturing Service Source models according to its realization, like the single output of single input cloud designing for manufacturing Service Source model, are labeled as " 1-I-1-O "; Single input two output cloud designing for manufacturing Service Source models then are labeled as " 1-2-I-O ", and set up the mapping relations of itself and cloud designing for manufacturing Service Source instance.The intermediate layer is a basal layer; As based on basis, cloud is made the Service Source unit and cloud designing for manufacturing Service Source instance is divided into S type (S-type), L type (L-type) and D type (D-type) based on the cloud designing for manufacturing Service Source construction method of multiple domain recurrence.The single output of single input cloud is made the Service Source unit and is defined as the S type, and the cloud designing for manufacturing Service Source example definition of the single output of single input is the L type, and other then are defined as the D type.Orlop is the data dictionary layer, and essential informations such as the title that S class, L type and D type are corresponding, case history are storage successively in the tabulation layer.
Claims (5)
1. cross-domain construction method of making towards cloud of design services resource is characterized in that the step of this method is following:
1.1) designing Service Source combination dynamic characters down according to the cloud manufacturing mode, structure design services resource is set up application scenarios, and the multiple domain angle of subordinate act territory, property field and data field is to the unit modeling of cloud designing for manufacturing Service Source;
1.2) cloud designing for manufacturing Service Source constraints is decomposed into behavioral requirements, feature requirement and demand data; Make resource behavioral requirements, feature requirement and demand data through cloud; In behavior territory, property field and data field, adopt series, parallel and complex method respectively; With the cross-domain successively recurrence combination of characteristic node in behavior node, the property field in the behavior territory; Realization is combined as the behavioural characteristic output that another kind of cloud manufacturing platform user needs from given behavior-feature request recurrence, and comprehensive generation of last behavior territory, property field and data field satisfied the varigrained cloud designing for manufacturing Service Source that cloud is made demand for services;
1.3) in step 1.2) and the basis on; Setting up cloud designing for manufacturing Service Source bunch is table; With the behavior-characteristic of cloud designing for manufacturing Service Source model as unique recognition coding; To cloud designing for manufacturing Service Source bunch is being that table is stored, and reduces cloud designing for manufacturing Service Source and sets up and find the solution the hunting zone.
2. a kind of cross-domain construction method of making towards cloud of design services resource according to claim 1; It is characterized in that: cloud designing for manufacturing Service Source unit is defined as the fundamental that constitutes cloud designing for manufacturing Service Source; It is the manufacturing cloud service resource that obtains a definite minimum set of variables output with a minimum set of variables as input; The design services resource representation that cloud designing for manufacturing Service Source unit and combination thereof realize is three layers of domain structure, i.e. service-domain, property field, behavior territory, the topological diagram of three layers of domain structure of structure; Be defined as cloud designing for manufacturing Service Source figure, cloud designing for manufacturing Service Source unit is with orderly quadruple form description; Adopt series, parallel and complex method that many clouds are made the Service Source combination and realize making cloud design services resource, be the another kind of Service Source demand that satisfies cloud manufacturing platform user from given functional shift.
3. based on the described a kind of cross-domain construction method of making towards cloud of design services resource of claim 1; It is characterized in that: based on behavioral requirements, feature requirement and demand data are extracted and be decomposed into to cloud designing for manufacturing Service Source constraints; And be mapped as constraint of resource behavior constraint, resource characteristic and resource data constraint; Structure behavior-Feature Mapping vector, characteristic-data map vector obtain initial cloud designing for manufacturing Service Source, to the initial modeling of cloud designing for manufacturing Service Source;
1) resource behavior constraint modeling
It is initial to make the demand input by cloud, the resource behavior constrain set of traversal behavioral requirements mark, and it is following to obtain resource behavior restricted model: D={N
ID, j, (d)
j, in the formula, N
IDFlag node for the resource behavior; J is behavior flag node N
IDThe label of a series of behavior gauge points in cloud manufacturing operation implementation; (d)
jBe behavior flag node N
IDThe behavioural characteristic that j is ordered in cloud manufacturing operation implementation;
2) resource behavioural characteristic constraint modeling
It is initial to make the demand input by cloud, the resource behavioural characteristic constrain set of traversal behavioural characteristic demand mark, and it is following to obtain resource behavioural characteristic restricted model: L={E
ID, i, (α)
i, in the formula, E
IDFlag node for the resource behavioural characteristic; I is behavioural characteristic flag node E
IDThe label of a series of behavioural characteristic gauge points in cloud manufacturing operation implementation; α
iBe behavioural characteristic flag node E
IDThe data set of i point behavioural characteristic in cloud manufacturing operation implementation;
3) resource data constraint
It is initial to make the demand input by cloud, the resource characteristic data constraint set of traversal characteristic demand mark, and it is following to obtain resource characteristic data constraint model: J={E
ID, k, (d)
k, α
k, in the formula, E
IDFlag node for the resource behavioural characteristic; K is behavioural characteristic flag node E
IDThe label of a series of behavioural characteristic gauge points in cloud manufacturing operation implementation; (d)
kBe behavior flag node N
IDThe behavioural characteristic that k is ordered in cloud manufacturing operation implementation; α
kBe behavioural characteristic flag node E
IDThe data set of k point behavioural characteristic in cloud manufacturing operation implementation;
4) mapping vector
T
LBe defined as behavior-Feature Mapping, by the characteristic type vector t of behavior nodal scheme set to behavior
LMapping, i.e. ξ (V
A) Θ ξ (V
C) → t
L, T
JBe defined as characteristic-data map, gather to data vector t by continuous service features layer medium cloud service features
JMapping, i.e. ξ (V
C) → t
J
4. a kind of cross-domain construction method of making towards cloud of design services resource according to claim 1; It is characterized in that: making Service Source according to cloud bunch is the table characteristics; Cloud designing for manufacturing Service Source bunch is by three layers of storage architecture in the table; The superiors are restraint layer, and the intermediate layer is a basal layer, cloud is made real 0 example of Service Source unit and cloud designing for manufacturing Service Source be divided into S type, L type and D type; Orlop is the data dictionary layer, and essential informations such as the title that S class, L type and D type are corresponding, case history are storage successively in the tabulation layer.
5. based on the described a kind of cross-domain construction method of making towards cloud of design services resource of claim 1; It is characterized in that: need behavior-characteristic input and the model of exporting based on cloud designing for manufacturing Service Source, set up pattern based on the cloud designing for manufacturing Service Source of multiple domain recurrence and can be divided into the single output mode of single input, single multi-output mode of importing; With the formal representation of conceptual design initial graph through matrix, making Service Source in conjunction with cloud bunch is table, the design services resource is set up found the solution.
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| CN105550813A (en) * | 2015-12-17 | 2016-05-04 | 重庆大学 | Commercial evaluation method for value network-based mechanized equipment cloud service resources |
| CN106331000A (en) * | 2015-06-19 | 2017-01-11 | 北大方正集团有限公司 | Method and device for determining service scheme |
| CN109407632A (en) * | 2018-10-12 | 2019-03-01 | 西南交通大学 | The method for establishing Discrete Manufacturing Systems logical model using seven tuples and service unit |
| CN114128236A (en) * | 2019-09-27 | 2022-03-01 | 腾讯美国有限责任公司 | Method and device for providing cloud service |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104181859A (en) * | 2014-08-20 | 2014-12-03 | 浙江大学 | Design method and device for improvement on numerically-controlled machine tool based on cognitive gains |
| CN106331000A (en) * | 2015-06-19 | 2017-01-11 | 北大方正集团有限公司 | Method and device for determining service scheme |
| CN105550813A (en) * | 2015-12-17 | 2016-05-04 | 重庆大学 | Commercial evaluation method for value network-based mechanized equipment cloud service resources |
| CN109407632A (en) * | 2018-10-12 | 2019-03-01 | 西南交通大学 | The method for establishing Discrete Manufacturing Systems logical model using seven tuples and service unit |
| CN109407632B (en) * | 2018-10-12 | 2020-05-12 | 西南交通大学 | Method for establishing logic model of discrete manufacturing system by utilizing seven-element group and service unit |
| CN114128236A (en) * | 2019-09-27 | 2022-03-01 | 腾讯美国有限责任公司 | Method and device for providing cloud service |
| CN114128236B (en) * | 2019-09-27 | 2023-05-23 | 腾讯美国有限责任公司 | Cloud service method, device and medium |
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| CN102780766B (en) | 2014-10-08 |
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