CN103473407A - Machine tool equipment service capability modeling method in cloud manufacturing environment - Google Patents

Abstract

The invention relates to a machine tool equipment service capability modeling method in a cloud manufacturing environment, and belongs to the technical field of information. The machine tool equipment service capability modeling method is a machine tool equipment information standardization description method including a substance information analyzing and extracting method, a mathematical modeling technique and an STEP (standard for the exchange of product model data) technique. The machine tool equipment service capability modeling method includes creating a uniform machine tool equipment cloud manufacturing service capability model through analyzing and extracting, logic framework building and virtual standardization describing of machine tool equipment information, and configuring model information parameters in an individualized way. The machine tool equipment service capability modeling method can lay a foundation for realization of techniques like visualized packaging and displaying of machine tool equipment, establishing of machine tool equipment resource libraries and intelligent semantic-based matching of machine tool equipment resources in the cloud manufacturing environment. The machine tool equipment service capability modeling method has the advantages of high virtualized simulation degree, high universality and good expandability; by the machine tool equipment service capability modeling method, service enterprises can be effectively supported to provide cloud manufacturing services conveniently and users can be effectively supported to find and match better resources intelligently.

Description

Lathe equipment service ability modeling method under a kind of cloud manufacturing environment

Technical field

The present invention relates to lathe equipment service ability modeling method under a kind of cloud manufacturing environment, the method is analyzed extracting method by material information, mathematical modeling technology, the STEP technology is to the modeling of lathe equipment service ability, the standardization that can realize lathe equipment cloud manufacture resources bank and knowledge base builds, effectively support service enterprise to provide more easily cloud manufacturing service and user's intelligence to find the optimum resource of coupling, for lathe under the cloud manufacturing environment is equipped virtual encapsulation and displaying, the realization of the technology such as Intelligent Matching of the foundation of lathe equipment resources bank and lathe equipment resource semantic-based lays the foundation.This invention belongs to areas of information technology.

Technical background

Be accompanied by the development with rapid changepl. never-ending changes and improvements of economic globalization and the network information technology, competition between the traditional machine tool equipment Manufacturing had a large capacity and a wide range, application enterprise and service enterprise, original enterprise production and management pattern can not meet the market heavy demand that social development, economic development bring gradually, and main manifestations is: manufacturing level is lower, research and development of products scarce capacity, managerial ability are weak, industrial chain collaboration capabilities deviation, produce equipment maintenance not in time.Manufacturing enterprise's wish improves its manufacturing ability, synthesized competitiveness and market capability of fast response, and upgrading self the traditional mode of production management mode that must make the transition is to future developments such as integrated, collaborative, Agility, service, greenization and intellectualities.So Optimal Decision-making, the production lifecycle process of the integrated synthetic operation of lathe equipment networking, production process technology route and parameter are monitored in real time, the Life cycle quality tracing of product, manufacture resource sharing and optimize and the networking manufacturing services such as utilize, lathe equipment long-distance service maintenance service and numerical control machine for processing program generate optimizations to have become vast lathe to equip enterprise's active demand.

The arrival of networked information era, promoted the network information technology and industrial fusion, expedited the emergence of based on network manufacturing service pattern.Carried out a large amount of research and practices around this pattern both at home and abroad, networking manufacture and networking Application in manufacture service provider (Application Service Provider, ASP) have wherein more typically been arranged.The networking manufacture refers to by adopting advanced network technology, manufacturing technology and correlation technique thereof, build enterprise-oriented unified Internet resources sharing service platform, break through the constraint of traditional forms of enterprises's production and operation geography and mode, realize between enterprise collaborative, manufacture resource network and share and the manufacture process networking, high-speed, high-quality, provide at low cost a kind of manufacturing mode of required product and service for market; ASP is a kind of new model of IT service in the manufacture field application, this pattern is by building public ASP service platform, manage all kinds of manufacturing service resources concentratedly, the Informatization Service business such as supply chain management, customer relation management and manufacture resource management are provided for enterprise by network, improve the production and administration efficiency of enterprise.But what networking manufacture and ASP mainly realized is topical application, in addition, owing to coming with some shortcomings at aspects such as service and operation mode, standard criterion, operating mechanisms, make networking manufacture, ASP at the depth & wideth of supporting manufacturing enterprise not enough.How more to have a large capacity and a wide range reallocate resources and enterprise between collaboration capabilities, become China lathe equipment industry problem in the urgent need to address.

Cloud is manufactured, on the basis of " manufacturing i.e. service " theory, use for reference cloud computing thought, the bond networking technology, new model is manufactured in a kind of networking that the high-performance computer of take is hardware support, it is inherited and has developed networking manufacture and ASP pattern thought, then creates the cloud of " disperseing resources centralized management, the pooling of resources distribution services " and manufactures the core thinking.It is on legacy network manufacturing mode basis, by the product of the mixing together such as infotech, manufacturing technology and emerging technology of Internet of things.By manufacture resource virtualizing, standardization and the service by different enterprises, build cloud manufacturing service platform, support the cloud manufacturing services such as manufacturing enterprise processes, uploads shared manufacturing resource information, networking remote maintenance, process process parameter optimizing in net environment cross-region cooperation widely, the production run Life cycle is monitored and review.The cloud manufacture is conducive to China's manufacturing industry and realizes the great-leap-forward Informatization Development, also promotes the progress of cloud computing technology simultaneously.Must carry out deep research and application.

Under the cloud manufacturing environment, the basis of manufacturing the service ability platform building of resource is to realize the virtual displaying of lathe equipment resource on platform.At present, correlative study achievement and the patent of similar this respect also have, for example (patent No.: 201210580080.3) be based on the cloud manufacturing capacity service modeling method of meta-model, the system realized comprises manufacturing capacity service unit model description module, interactive manufacturing capacity service describing expansion module and manufacturing capacity service script file generating module to patent of invention " a kind of cloud manufacturing capacity service modeling method based on meta-model ".The method can be changed and be generated as the service describing script file that cloud manufacturing service engine can be processed, but this system not support resource integratedly share, the line operation of the manufacturing services such as production process technology real-time optimization and the maintenance of lathe equipment long-distance service with optimize.

Summary of the invention

The present invention relates to lathe equipment service ability modeling method under a kind of cloud manufacturing environment.The method can support lathe equipment service enterprise to provide more easily and fast cloud manufacturing service and user's enterprise intelligent to find coupling optimization manufacture resource effectively, equip the realization of the technology such as Intelligent Matching of the foundation of virtual encapsulation and visual presentation, lathe equipment resources bank and knowledge base and lathe equipment resource semantic-based for lathe under the cloud manufacturing environment and lay solid technical foundation, thereby build enterprise's cloud manufacturing service platform, realize various platform service abilities.Its technical scheme is:

The present invention is a kind of lathe equipment Information Standards describing method consisted of material information analysis extracting method, mathematical modeling technology, STEP technology.

Wherein, it is that extrinsic information material form and the inherent material information content of all kinds of things that will exist successively constantly goed deep into objective analysis, a kind of basic method of the Concept of Information of accomplished announcement features, inner link, essence, rule and status target that described material information is analyzed extracting method.Want statement lathe equipment in detail, should first to extrinsic information material form and the inherent material information content of lathe equipment, be analyzed, extract the various information of lathe equipment from the equipment of the lathe in the motion state of matter, and these information are defined, obtain describing out the concept set of lathe equipment.Again lathe equipment resource information concept is carried out to the logic inducing classification, obtain complete lathe equipment Service Source inforamtion tree: the inforamtion tree ground floor is lathe equipment cloud manufacturing service ability information; The inforamtion tree second layer is essential information, function information and three lathe equipment base attribute parts of status information; Inforamtion tree the 3rd layer function information is divided into lathe equipment machinable material information, shape working ability information, productive capacity information, precision ability information, processing type information and part classification information, essential information is divided into lathe equipment manufacturer information, lathe equipment tool magazine information and lathe equipment title and type information, and status information is divided into all kinds of states of lathe equipment: in fault, in service, maintenance, idle in and overload state; The 4th layer of inforamtion tree can be subdivided into all kinds of resources again.

Described mathematical modeling technology is relevant knowledge, the method and skill of setting up mathematical model, comprise to objective things analyzed, simplified, supposed, selected to be applicable to mathematical tool, solved, explained, check etc.Mathematical model (Mathematical Model) is a kind of simulation, abstract and succinct the portraying to the actual subject essential attribute with mathematic sign, mathematics formula, program, figure etc., it maybe can explain some objective phenomenon, or the rule of development that can predict future, maybe can provide for the development of controlling a certain phenomenon optimal strategy under certain meaning or than good strategy.So first lathe is equipped to all kinds of Service Source information, analyzed, then by a series of modeling process to reach the mathematical modeling target.Comprising: model preparation, model hypothesis, model foundation, model solution, model analysis, model testing and model application.At first lathe is equipped to all kinds of Service Source information and carry out reductive analysis, all kinds of model datas that obtain needing in process of mathematical modeling.By the hypothesis modeling process, actual subject being carried out to mathematical logic again means, by mathematical method, the actual converted mathematical problem of supposing is solved, be converted to again the problem of actual lathe equipment Service Source after obtaining a result, finally carry out model testing and application, obtain the optimal solution of lathe equipment Service Source hypothesis problem.In modeling method, can use the Monte Carlo Algorithm Analysis to go out universal machine tools equipment service information elements between element; The data processing algorithms such as maintenance data matching, parameter estimation, interpolation are processed a large amount of data message of lathe equipment resource; Use mathematical formulae to carry out the hypothetical simulation analysis and solution to lathe equipment information on services; Use image processing algorithm to solve the problem how lathe equipment resource information graphically shows.Thereby build lathe equipment resource information meta-model mathematical logic framework.

Described STEP technology is the international standard technology about the intelligible expression of product data computing machine and exchange, it can provide a kind of medium-sized mechanism that does not rely on concrete system, this mechanism makes it be suitable for exchange and share file, is suitable for again as the basis that builds and describe product database and knowledge base.Can improve the standardization of lathe equipment service ability resource element model data, universalization degree by the STEP technology, realize the basic practicality that lathe equipment service ability provides, set up standard machine tool equipment service ability database and knowledge base under the cloud manufacturing environment.The STEP architecture forms by three layers: logical layer, Physical layer and application layer.In logical layer, STEP describes by the EXPRESS linguistic norm and expresses lathe equipment service ability resource information and application protocol, sets up lathe equipment service ability resource element information representation model; Complete its realization on computers by exchange files, Application Program Interface SADI, shared data bank and four kinds of methods of shared knowledge base in Physical layer; By investigation, analysis and negotiation, make towards the application protocol in the field of manufacture in application layer, realize in manufacturing enterprise and shared consistance and the integrality of information data transmission between enterprise.That the STEP standard has advantages of is easy, compatibility, life cycle is long and extensibility, can be good at solving information set and is a problem, and realizes the optimum combination of resource, realizes the seamless link of information.

Realizing on the basis of above technology, built lathe equipment service ability model under the cloud manufacturing environment, utilize the SDK (Software Development Kit) such as JAVA to follow the exploitation that Metamodel Method carries out lathe equipment service ability element, can the form with basic control realize in industrial cloud manufacturing service platform.

The present invention is lathe equipment service ability modeling method under a kind of cloud manufacturing environment, this method is analyzed extracting method by material information the lathe equipment is carried out to service capability information analysis extraction, concept conversion inducing classification, build lathe equipment service capability information mathematical logic framework by mathematical modeling technology, set up lathe equipment resource information meta-model by the STEP technology, set up unified lathe equipment cloud manufacturing service capability model, and realize the structure of service ability database and knowledge base.The SDK (Software Development Kit) such as use JAVA realize the control exploitation of lathe equipment service ability unit, and personalizable configuration component information parameter.This method can effectively support service enterprise that the cloud manufacturing service is provided more easily and can support user intelligence to find the more excellent resource of coupling, can take a firm foundation for the realization that lathe under the cloud manufacturing environment is equipped the technology such as the exchange of the foundation of virtual encapsulation and displaying, lathe equipment resources bank and lathe equipment resource is shared.

The accompanying drawing explanation

Fig. 1 is lathe equipment service ability resource information tree

Fig. 2 is lathe equipment service ability resource information meta-model mathematical logic framework

Fig. 3 is lathe equipment resource service ability STEP realization figure

Fig. 4 is lathe equipment resource service ability meta-model modeling and access platform figure.

Embodiment

In conjunction with Figure of description, the specific embodiment of the present invention is described in detail.

1. analyze extracting method by material information and extract various information from the lathe equipment, and these information are carried out to concept definition, then lathe equipment resource information concept is carried out to the logic inducing classification, obtain complete lathe equipment service ability resource information tree.As shown in Figure 1.Embodiment is as follows:

1) analyze all kinds of resource informations of extracting the lathe equipment: the various information representation of concept of lathe equipment energy enough descriptions self essential information.Such as a processing Milling Machine manufacturer is Shanghai, rapidoprint is steel, iron, can process solid of revolution, face directly and curved surface, can in batch machining axle class and box parts, the precision ability is good, tool magazine is generally used flat cutter, state is in service.Extrinsic information material form and inherent material information content to the lathe equipment are carried out zone-by-zone analysis, isolate the information that can express lathe equipment essential characteristic and state, and extract the information set that formation represents the lathe equipment.Different lathe equipments can be isolated its corresponding information.

2) the lathe equipment information is defined, obtain describing out the concept set of lathe equipment: the lathe equipment information extracted can only represent the individual state of lathe equipment relatively, but can not the universal expression lathe essential information of equipment, so will carry out summarizes to the lathe equipment information, the metamessage that will show each carries out the definition of the specialization (mechanization) of standard, obtains the entity universal expression-concept of information.For example: milling machine needs to use all kinds of milling cutters in process, can be conceptualized as milling machine-tool magazine-dish milling cutter, end mill, form cutter, ball cutter and drum-shaped milling cutter.

3) lathe equipment resource information concept is carried out to the logic inducing classification: according to the expression way of mechanical field, use mechanical concept, term, class, attribute and between relation lathe equipment various information concept that analysis is extracted carry out inducing classification.

4) set up complete lathe equipment service ability resource information tree.After inducing classification lathe equipment information completes, set up complete lathe equipment service ability resource information tree.The inforamtion tree ground floor is lathe equipment cloud manufacturing service ability information; The inforamtion tree second layer is essential information, function information and three lathe equipment base attribute parts of status information; Inforamtion tree the 3rd layer function information is divided into lathe equipment machinable material information, shape working ability information, productive capacity information, precision ability information, processing type information and part classification information, essential information is divided into lathe equipment manufacturer information, lathe equipment tool magazine information and lathe equipment title and type information, and status information is divided into all kinds of states of lathe equipment: in fault, in service, maintenance, idle in and overload state; The 4th layer of inforamtion tree is subdivided into all kinds of resources again.

2. build lathe equipment service ability resource information meta-model mathematical logic framework by mathematical modeling technology.As shown in Figure 2.Embodiment is as follows:

1) model preparation

The lathe equipment has a large capacity and a wide range, and of a great variety, function is different, so its resource information is the problem with random nature.Suppose that all kinds of lathes are A, B, C, D ..., all kinds of lathes are comprised of a lot of function informations again, such as: A={a1, a2, a3, a4 ..., B={b1, b2, b3, b4 ....

2) model hypothesis

Use the Monte Carlo algorithm known in all kinds of lathe equipment function information components, the identity function element of some probabilities of occurrence on very large arranged, for example: a1=b1=d1, express for lathe is information-based to greatest extent, can equip similar element by these lathes and jointly form a universal machine tools equipment resource information model set M.This set M should have following requirement:

1, set lathe equipment service information elements is as far as possible few.

2, set can give full expression to the service of lathe equipment.

3, in the set, lathe equipment service information elements can represent most of lathe general information element.

3) model is set up

After model hypothesis, at first use the data processing algorithms such as mathematics data fitting, parameter estimation, interpolation to process a large amount of data message of lathe equipment resource.

Wish is set up universal machine tools equipment resource information model set M, but its general utility functions subset can not represent all lathe equipment functions fully, use the MATLAB instrument to equip same identity function information to lathe and carry out data fitting, parameter estimation, interpolation processing, obtain the perfect estimation value mi of general utility functions subset, improve the expression accuracy of universal machine tools equipment resource information mathematical model set M.

4) model solution

According to the definition of above-mentioned things, things set M and all L that have things ₁(M ₀), M ∈ L is arranged ₁(M ₀), if things M and M ₀can construction system M', can be denoted as:

$M\⊗M_0=M^{\′}$

The amassed thing collection of M is

$M_{0\⊗}\left(M\right)=\left\{M_0\right|M\⊗M_0=M^{\′}\∈L_1\left(M_0\right)$

M ₀∈L ₁(M ₀)}

Like this, utilize Model Mapping to become the expression-form of XML, then equip the service ability property value by the lathe in Program extraction XML, part feature and technology characteristics parameter matter-element are expressed as

$R_{D_{\mathrm{pi}}}(M_{\mathrm{pi}}\⊗M_{{\mathrm{PR}}_i}{F}_{\mathrm{ea}})=\left(\begin{array}{ccc}{M}_{\mathrm{Pi}}\⊗M_{\mathrm{PRi}}& c_{\mathrm{Pi}}^1& v_{\mathrm{Pi}}^1\\ & \·& \·\\ & \·& \·\\ & \·& \·\\ & c_{\mathrm{Pi}}^n& v_{\mathrm{Pi}}^n\end{array}\right)$

Wherein:

expression lathe equipment generic service capability resource feature can be amassed the matter-element title; c _pimean to comprise lathe equipment generic service ability characteristics operation performance index title; v _pimean the universal performance desired value.

The static object model of the general-purpose attribute quantification of lathe equipment is:

$R_{{\mathrm{NE}}_{\mathrm{jm}}}\left(\mathrm{Reinfo}\right)=\left(\begin{array}{ccc}{\mathrm{NE}}_{\mathrm{jm}}& c_{\mathrm{jm}}^1& v_{\mathrm{<figure-callout\; id="1"\; label="jm"\; filenames="HDA0000377347220000012.png"\; state="\{\{state\}\}">jm</figure-callout>}}^1\\ & \&CenterDot;& \&CenterDot;\\ & \&CenterDot;& \&CenterDot;\\ & \&CenterDot;& \&CenterDot;\\ & c_{\mathrm{jm}}^n& v_{\mathrm{jm}}^n\end{array}\right)=\left(\begin{array}{ccc}{\mathrm{NE}}_{\mathrm{<figure-callout\; id="1"\; label="jm\; c\; jm"\; filenames="HDA0000377347220000012.png"\; state="\{\{state\}\}">jm</figure-callout>}}& c_{\mathrm{jm}}^{}{}_1^{}& <a_{\mathrm{<figure-callout\; id="1"\; label="jm"\; filenames="HDA0000377347220000012.png"\; state="\{\{state\}\}">jm</figure-callout>}}^1,b_{\mathrm{<figure-callout\; id="1"\; label="jm"\; filenames="HDA0000377347220000012.png"\; state="\{\{state\}\}">jm</figure-callout>}}^1>\\ & \&CenterDot;& \&CenterDot;\\ & \&CenterDot;& \&CenterDot;\\ & \&CenterDot;& \&CenterDot;\\ & c_{\mathrm{jm}}^n& <a_{\mathrm{jm}}^n,b_{\mathrm{jm}}^n>\end{array}\right)$

Wherein: NE _jmmean lathe equipment title; c _jmthe generic service ability characteristics that means the lathe equipment; v _jmthe generic service ability value that means the lathe equipment, part lathe equipment generic service ability value can be expressed as interval form<a _jm, b _jm>.

Manufacture resource generic resource matching algorithm by above lathe equipment service ability.Can calculate the ability value interval of generic service capabilities element mi in lathe equipment resource information mathematical model set M in conjunction with concrete data, and get the estimated value of intermediate value as mi.

5) model analysis

From the model solution result, M can be given full expression to by several lathe equipment information on services general elements.

6) model testing

After building a universal machine tools equipment resource information mathematical model set M, then the Service Source information of several lathe equipments is separated to statistic analysis, contrasted with model set M subset information, verified the correctness of model.Illustrate that this model can carry out mathematical expression to lathe equipment Service Source fully.

7) model application

After model testing, in conjunction with lathe equipment resource ontology tree construction and lathe equipment resource information mathematical model set M, use the MATLAB instrument to carry out the image conversion processing to model, make displaying of its structure graph, build lathe equipment service ability resource information meta-model mathematical logic framework.Can carry out next step work.

3. improve lathe equipment resource information normalized expression by the STEP technology, set up unified lathe equipment cloud manufacturing service capability model, and realize the structure of service ability database and knowledge base.As shown in Figure 3.Embodiment is as follows:

1) logical layer: by describe and express lathe equipment service ability resource information and application protocol based on CIM-OSA thought EXPRESS linguistic norm, because EXPRESS itself is not a kind of implementation language, so use three kinds of language realizing EXPRESS by mapping relations: STEP p21 file, SDAI interface, STEP data in XMI.Set up lathe equipment service ability resource element information representation model.

2) Physical layer: by exchange files, Application Program Interface SADI, shared data bank and four kinds of methods of shared knowledge base, design its realization on computers.

3) application layer: by investigation, analysis and negotiation, make towards the application protocol in the field of manufacture, realize in manufacturing enterprise and shared consistance and the integrality of information data transmission between enterprise.

By above embodiment, can under the cloud manufacturing environment, set up complete, a unified lathe equipment resource service capability model.

Practical application: utilize the SDK (Software Development Kit) such as JAVA to follow the exploitation that lathe equipment resource service ability modeling approach carries out lathe equipment resource service ability unit control, can the form with basic control realize in industrial cloud manufacturing service platform.

Claims (4)

1. lathe equipment service ability modeling method under a cloud manufacturing environment, the method is characterized by: at cloud, manufacture under this new network manufacturing environment, utilize material information analysis extracting method, mathematical modeling technology, STEP technology that the lathe equipment is carried out to the information standardization description, set up unified lathe equipment cloud manufacturing service capability model, on this basis, by software development technique, its form with basic first control in industrial cloud manufacturing service platform is realized.

2. under cloud manufacturing environment according to claim 1, lathe is equipped the service ability modeling method, it is characterized by: to lathe equipment resource information, analysis is extracted and the generalities inducing classification, obtains complete lathe equipment resource information tree: the inforamtion tree ground floor is lathe equipment cloud manufacturing service ability information; The inforamtion tree second layer is essential information, function information and three lathe equipment base attribute parts of status information; Inforamtion tree the 3rd layer function information is divided into lathe equipment machinable material information, shape working ability information, productive capacity information, precision ability information, processing type information and part classification information, essential information is divided into lathe equipment manufacturer information, lathe equipment tool magazine information and lathe equipment title and type information, and status information is divided into all kinds of states of machine tool: in fault, in service, maintenance, idle in and overload state.

3. under cloud manufacturing environment according to claim 1, lathe is equipped the service ability modeling method, it is characterized by: by lathe equipment resource information is analyzed and extracted and the generalities inducing classification, obtain complete lathe equipment resource information tree, in conjunction with mathematical modeling technology, build lathe equipment resource information mathematical logic framework, by the STEP technology, use EXPRESS modeling language specification description and express product data again, making lathe equipment resource information express intuitively and easily.

4. under cloud manufacturing environment according to claim 1, lathe is equipped the service ability modeling method, it is characterized by: under the cloud manufacturing environment, by lathe is equipped to attribute information, analyze extraction generalities inducing classification, logical framework is built, virtual standardization is described and is set up unified lathe equipment cloud manufacturing service capability model, by software development technique, in cloud manufacturing service ability platform, with basic control form, realize, and personalizable configuration lathe assembling die type information parameter, the method supports service enterprise to provide more easily cloud manufacturing service and user's intelligence to find the optimum resource of coupling effectively, thereby for lathe under the cloud manufacturing environment is equipped virtual encapsulation and displaying, the realization of the technology such as Intelligent Matching of the foundation of lathe equipment resources bank and lathe equipment resource semantic-based lays the foundation.

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