CN109710588A - A kind of Cutting data operation control system and control method - Google Patents
A kind of Cutting data operation control system and control method Download PDFInfo
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Abstract
The invention belongs to computer software technical field, a kind of Cutting data operation control system and control method are disclosed, basic physics data and multi-source heterogeneous data are attached by data element and coding, describing standard is completed and formulates, constructed using specification；It realizes the fusion of data, equipment and function, builds feasible program is provided for the intelligence of system, the advanced functional development application such as excavate for the analysis of parameter Real-time Decision and big data and lay the foundation.It is applied with cutting Cutting data as core, proposes a kind of data, the integrated topology controlment of equipment and function on this basis, laid the foundation for the exploitation of subsequent intelligent function；With the purpose that is standardized as of basic physics data, and the construction that constraint matrix realizes data element set is formulated, provides foundation for the expansion of subsequent data analysis；Under conditions of guaranteeing integrality and consistency, by way of defining the coding mode and parameter direction of data in different formats and file, the characterization application of multi-source heterogeneous data is realized.
Description
Technical field
The invention belongs to computer software technical field more particularly to a kind of Cutting data operation control system and controls
Method.
Background technique
Currently, the prior art commonly used in the trade is such that
Each industrially developed country establishes air-metal hydride batteries in succession, raw to accumulate and store metal cutting abundant
Production and test data.By the US Air of American technology cutting joint study company and the combined foundation of United States Air Force material experiment
Processability data center, army (AFMDC), the CutData system developed are that comparison is comprehensive, reliable machining data library system
System, is integrated into multiple famous CAM systems.The system passes through multiple renolation, including different processing methods, cutter material
Material, workpiece material a large amount of cutting test data, it can be achieved that typical material cutting speed and the amount of feeding optimization recommend, and
Power, material removing rate and the cutting time under different processing conditions can be calculated.U.S. Esprit knowledge type Database Systems,
Built-in CutData machining data library can provide the central number with the accumulation previous optimal process experience of enterprise for user
According to library, the system can automatic identification give machining features and the physical characteristics such as type chamber, slot, shoulder and the hole of part, for processing
Part feature recommends most suitable processing technology, cutting tool, cutting speed and feed speed automatically, and can realize processed
The simulation analysis of journey.
The Cutting Database System of German large-scale synthesis Cutting data information center (INFOS) includes that lot of materials can add
Work information.German CimSource Cutting Database System can realize for different numerical control processing conditions, according to cutter life,
Processing cost recommends the processing technology optimized and cutting parameter to improve the utilization rate of lathe to reduce cutter cost of use.
The developed processing technology network data base of Japanese industries Technical Integration Studies includes casting, forging, metal punching
Pressure, injection molding, cutting, grinding, grinding, electric machining, laser cutting and welding, arc welding, plating, PVD-CVD, spraying plating and heat
Relevant informations, the optimizations for being mainly used for machined parameters such as rudimentary knowledge, test data and the processing instance of processing etc. push away
It recommends, the quick solution of processing problems, the improvement of processing technology, the popularization and application etc. of new processing technology.Day adds based on WEB's
Work technical data processing system, have collected from university, scientific research institution, enterprises production locale processing instance, including different materials
The parameter selection handbook of material, different processing methods provides specific add for processing conditions in conjunction with machining basic theories
Work technique and parameter, to improve production efficiency, reduce processing cost.
Processing performance of the companies such as external cutter manufacturer SANDVIK, SECO, WALTER also for respective cutter, exploitation
Corresponding machining and cutting tool choice Database Systems, for user for the inquiry of specific processing conditions it is most suitable plus
Work cutter and the rough range of work.
Domestic Chengdu Tool Research Institute, institution of higher learning develop dedicated number for the typical part of different materials in succession
Processing technology Database Systems are controlled, the functions such as the analysis processing to Cutting data are provided.
It is processed due to the feature that the friction of the cutting of hardworking materials such as high strength steel region is violent, tool wear is serious
Tool wear and failure monitor in journey become the key link of cutting ability analysis.Common tool wear and failure analysis
Method is divided into direct monitoring method and indirect analysis monitors two kinds.Direct analyzing method is based on optics and pattern monitoring means
Image analysis is carried out to cutter, tool wear is carried out by image recognition technology and fail message extracts.The analysis method has
Intuitive and reliable advantage, but influence due to hardware difficulty, cutting fluid and the chip of platform building to shooting effect, analysis
The problems such as real-time, can not be widely used in actual production.And indirect analysis method is then to be ground based on various process signal to cutter
Damage amount is characterized, and is passed through building process parameter and the mapping relations of cutting tool state and is carried out model training to realize accurate prison
It surveys.Indirect analysis method is based on the signal means such as cutting force, cutting vibration, spindle power, acoustic emission signal and realizes.Above point
Analysis method characterizes tool failure state by one or more indirect signals, it is ensured that the real-time of decision, it is more suitable
Suitable on-line analysis uses.Accurately identified to reach, indirect abrasion analysis need combine Modulation recognition method appropriate to signal into
Row training and decomposition.
In conclusion problem of the existing technology is:
The fundamental technology data of numerical control processing technology Database Systems are not complete, Data Share System is unsound, so as to cause
The problems such as numerically-controlled machine tool is made a low multiple use, part processing quality is low, is mainly reflected in:
It (1), can not towards difficult-to-machine material, the cutting basic physics data deficiency of new material highly-efficient processing, non-architectonical
Meets the needs of being analyzed and processed to cutting characteristic；
(2) acquisition and analysis of Efficient CNC machining process real time status information, mainly for the operating status of lathe,
Lack to cutting process dynamic physical characteristic, cannot achieve the real-time processing to process；
(3) Cutting Process basic data accumulation not enough, Process Knowledge Representation and management method fall behind, new knife can not be adapted to
The demand of tool, new material, new process and digital intelligent manufacture.
Solve the difficulty and meaning of above-mentioned technical problem:
Efficient CNC machining technology makes the function extreme enrichment of conventionally manufactured equipment and product, performance that matter occur
Leap is the important symbol of a national manufacturing industry core competitiveness.It can be numerical control that material, which cuts based data service platform,
The science of processing technology provides basic data support with quickly establishment, mentions for the knowledge reuse of cutting technology successful case
For foundation, digital Platform is provided for the quick succession of technologist's experience, is Efficient CNC machining Optimizing Cutting Conditions and work
The carrier of skill scheme.But at present due to lacking Cutting data operation control system and control method towards big data environment,
It is unable to get the potential of numerically-controlled machine tool to give full play to, affects the raising of China's numerical control processing level of aggregation.
The difficulty for solving above-mentioned technical problem is:
(1) how by technologies such as distributed storage and big datas, guarantee that multi-source heterogeneous data can having in internal system
Sequence storage and quick calling, provide basic norm for data retrieval, modeling and analysis；
(2) how to be combined with the technologies such as Internet of Things and sensing, the cutting signal data of processing site be acquired,
And swift nature extraction, Analysis of Policy Making are completed in system, realize the guidance to process；
(3) how using technologies, formation process parameters selection rule and processing quality controls such as uniform data acess
Knowledge processed carries out profound utilization to the mass historical data of internal system.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of Cutting data operation control system and controlling parties
Method.
The invention is realized in this way a kind of Cutting data service control method, the Cutting data service control method
Include:
(1) cutting process dynamic time-varying physical characteristic is constructed with intelligent numerical control machine tool, technology of Internet of things, sensing technology
Detection platform, using unified acquisition mode to the various real-time characteristics such as the power of cutting process, temperature, vibration and displacement
Data are acquired typing, the distributed storage in system database；
(2) static data, cutting according to the physics and logical relation between multi-source heterogeneous Cutting data, to processing technology
The multi-medium datas such as dynamic data, workpiece surface appearance picture unstructured data and the processing video of process, carry out distributed
Storage；
(3) using data as clue, actual resource and virtual resource is carried out to arrange transmission and online calling, establish cutting
Interconnecting relation, sequential relationship, spatial relationship and causality between data provide different cutting physics towards process
The principle analysis of characteristic and data Visualization, disclose the coupling mechanism of each factor of process；
(4) establish the mathematical models such as cutting force, cutting heat, cutter fretting wear, surface integrity, complete parameter model,
Analysis decision calculates；
(5) different user is in different terminals conveniently and efficiently to the request of Database Systems and response.
Another object of the present invention is to provide a kind of Cutting data service controls of Cutting data service control method
System processed, the Cutting data operation control system include:
(1) user management module, the different operation for user；
(2) support technology module, for system development and maintenance；
(3) data support module, the backstage Database in Cutting Database data for system；
(4) transaction model, the affairs for the operating of system Cutting data service function；
(5) resource transfer module, the machining actual resource and virtual resource used for system.
The Cutting data operation control system further comprises:
(1) information collection and transport layer realize the acquisition of NC Machining Process scene initial data；
(2) data description and accumulation layer, realize the expression of cutting physical data；
(3) knowledge excavation and process layer realize intelligentized Cutting data analysis；
(4) intelligent inference and service layer realize personalized online Cutting data service.
Another object of the present invention is to provide a kind of computer journeys for realizing the Cutting data service control method
Sequence.
Another object of the present invention is to provide at a kind of information data for realizing the Cutting data service control method
Manage terminal.
Another object of the present invention is to provide a kind of computer readable storage mediums, including instruction, when it is in computer
When upper operation, so that computer executes the Cutting data service control method.
In conclusion advantages of the present invention and good effect are as follows:The present invention is directed to traditional Cutting Database System function letter
Single, framework weakness problem, the demand under facing cloud manufacture, big data environment to Efficient CNC machining Cutting data service, will
The technologies such as database technology, technology of Internet of things, cloud computing technology and big data processing blend, and construct including cutting physics
The system function frame of data acquisition, Cutting data analysis, cutting knowledge excavation and Cutting data service；For data structure
Basic physics data and multi-source heterogeneous data are attached by data element and coding, are completed by single, the chaotic problem of storage
Describing standard is formulated, is constructed using specification.Start with from overall architecture and physical data, realizes data, equipment and function
Fusion builds for the intelligence of system and provides feasible program, also excavates etc. for the analysis of parameter Real-time Decision and big data advanced
Functional development application lays the foundation.
To cut physics data perception, cutting mathematical model is configured to core, is designed to the functional framework of system,
And a kind of data, the integrated topology controlment of equipment and function are proposed on this basis, it is the exploitation of subsequent intelligent function
It lays the foundation；It is standardized as purpose with cut basic physics data, proposes a kind of physical data table as unit of data element
Sign method, and the construction that constraint matrix realizes data element set is formulated, foundation is provided for the expansion of subsequent data analysis；It is protecting
Under conditions of demonstrate,proving integrality and consistency, by way of defining the coding mode and parameter direction of data in different formats and file,
Realize the characterization application of multi-source heterogeneous data.
Detailed description of the invention
Fig. 1 is Cutting data service control method flow chart provided in an embodiment of the present invention；
Fig. 2 is Cutting data operation control system structural schematic diagram provided in an embodiment of the present invention；
Fig. 3 is the logic relation picture between the different levels that present invention implementation provides；
Fig. 4 is that the present invention implements the system function frame diagram provided；
Fig. 5 is that the present invention implements the system topology figure provided；
Fig. 6 is that the present invention implements the cutting force data characterization and applicating flow chart that provide；
Fig. 7 is that the present invention implements the multi-source heterogeneous data application flow chart provided；
In figure: 1, user management module；2, support technology module；3, data support module；4, transaction model；5,
Resource transfer module.
Fig. 8 is the applicating flow chart that the present invention implements the multi-source heterogeneous data provided.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to this hair
It is bright to be further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, not
For limiting the present invention.
The present invention simple, weak problem of framework for system function, tool sensor, system user group and data are provided
Material library is connected as organic whole, complete system function frame build, Topology Structure Design.
As shown in Figure 1, Cutting data service control method provided in an embodiment of the present invention the following steps are included:
S101: the structure member of system connection completes live machining and data acquires typing；It is adopted using unified
Mode set imports it, and distributed storage is carried out in system database；
S102: the physical data of system storage should receive field data, also sieve to manual data
Choosing is finally completed typing storage；Certain standard is formed according to physics and logical relation, i.e. acquisition specification and operating specification, protect
The logic and relevance for demonstrate,proving back-end data, provide firsthand information for Premium Features such as parameter model, analysis decisions, are also big
Data fusion application lays the foundation；
Actual resource and virtual resource arrange transmission and online by the converter of S103, system data and software and hardware
It calls；Using data as clue, the transmission for adapting to reapective features is established for different types of data and using rule；
S104: system realizes intelligentized core, completes the computing functions such as parameter model, analysis decision；Parameter is divided in real time
Analyse decision, the method that cutting knowledge data is excavated；
S105: the bridge that user interacts with system realizes different user in different terminals conveniently and efficiently to data
The request and response of library system；The instruction of system user is the beginning and end of exploitation, needs to guarantee the real-time that user uses
And convenience, realize quick response, calculating and decision.
As shown in Figure 2 and Figure 5, Cutting data operation control system provided by the invention includes: user management module 1, branch
Support technology modules 2, data support module 3, transaction model 4, resource transfer module 5.
User management module 1, the different operation for user.Friendly user interface and the presentation of intuitive result are these
Module operate normally basis, the front and back of system development is jumped, visualize export etc. propose high requirement；
Support technology module 2, the key technology for system development and maintenance.System foreground be based on JavaScript,
The technologies such as jQuery and Html are realized, friendly user interface is provided for the network user；Backstage is complete using Java collocation MySQL
At, and make backstage that data exchange be rapidly completed with server using Ajax mode, support is provided for user data real-time, interactive；
Data transmission realized based on different types of interfacing, guarantees the fluency that transmits between the modules of mass data and in real time
Property；
Data support module 3, the background data base data for system.Basic database storing cutter, lathe and material
Etc. system informations, recommending prediction library is that the recommendation and analysis before processing provide data, and modeling optimization library is for processing result progress
Reprocessing analysis provides data.The module can be extracted and be stored to cutting parameter and process knowledge in conjunction with algorithm resource,
Complete self abundant and update of data information.The quantity of data is the core index of measure database system scale and ability,
Therefore the module needs reasonable data transmission specification and enough backstage memory spaces with support system function；
Transaction model 4, the affairs for system function operating.It is achievable to be tested from user by transaction model
The entire work flow for demonstrate,proving intellectual analysis is the core of system.The operation of module needs for data and resource to be attached, constantly
Complete data base querying, resource uses and function jumps movement, the support of the too busy to get away interfacing of good operation；
Resource transfer module 5, the actual resource and virtual resource used for system.Actual resource includes numerically-controlled machine tool
Relevant detection device and sensing equipment are processed, provides the power and temperature sampling curve, tool wear figure of processing site for system
The data such as picture, surface topography image, technical process video；Virtual resource includes parser and emulation mode, use site number
The intelligent functions such as regression modeling, high-speed decision and Analysis on Mechanism are realized according to historical data.
As shown in figure 4, system function frame provided by the invention are as follows:
(1) information collection and transport layer --- realize the acquisition of live initial data.With intelligent numerical control machine tool, Internet of Things
Technology, sensing technology construct cutting process dynamic time-varying physical characteristic detection platform, and formulate cutting test standard criterion,
The technical parameters such as cutter, workpiece, processing method, the cutting parameter that difficult-to-machine material Plays cutting test should be taken are specified,
The various real-time characteristic signals such as power, temperature and the displacement in numerical control cutting process are monitored by multi-sensor technology, through believing
Breath detection with merge after transmitted as basis physical data, for numerical control processing technology knowledge and model construction provide standard,
Accurately cutting physical data；
(2) data description and accumulation layer --- realize the expression of cutting physical data.Utilize big data, distributed storage
Systems technology, for the structurings static datas such as fundamental operation information, processing result list, process chart text, cutting scene
The unstructured static datas such as figure, cutting process multimedia, the time-varying dynamic number such as cutting force, heat, displacement in cutting process
According to constructing unified Cutting data descriptive model；And it uses distributed memory system to intelligent machine tool data collection system, cut
It cuts Fundamental Physics Experiments and carries out acquisition storage, provide massive multi-source data for service system, thus knowing for Cutting data
Know to excavate and provides underlying parameter and technology with process knowledge accumulation；
(3) knowledge excavation and process layer --- realize intelligentized data analysis.Application parameter modeling, data mining and
Knowledge Discovery is theoretical, and difficult-to-machine material numerical control processing physical data is modeled and analyzed, and what formation can promote and apply cuts
Data standard specification is cut, cutting test platform, workpiece, cutter, lathe based on unified standard etc. obtain reliable and accurate cut
Data are cut, to establish cutting tool choice knowledge, cutting parameter selection knowledge, the physical model of cutting process, cutter fretting wear
Process knowledges and the mathematical models such as model, surface integrity model.Based on this, excellent to numerical control processing technology parameter intelligent
Change and provide inferenctial knowledge and rule with recommendation service, realizes the effective application and self-renewing of internal data；
(4) intelligent inference and service layer --- realize personalized online service.Using dynamic interaction, data visualization
Etc. technologies, established for several different typical parts such as large-scale precision axial workpiece, thin-walled weak separation part, complex structural member
It is various to provide cutting test analysis, cutting parameter recommendation, Cutting data evaluation, craft embodiment excavation etc. for perfect system for handling
Intelligent inference and service, and so that client computer and server end is carried out the real-time, interactive of data and operation by wireless network, it improves
The analysis speed and technological ability of digital-control processing system, promote the realization of accurate intelligence manufacture.
Application principle of the invention is further described with reference to the accompanying drawing.
1, basic physics data characterization application
The description of 1.1 physical datas
According to previous analysis, data be system allomeric function design core, and the rapid development of big data technology also into
One step highlights the fusion of mass data in systems.Since the physical data that cutting obtains includes cutting force, rough surface
A large amount of dynamic time-variable datas such as degree, tool abrasion, residual stress distribution, micro-hardness, poor, data that there are data consistencies
The problems such as lack of standardization, data applicable surface is narrow is described, system is needed to characterize first to it, is converted into unified physical data
(PhysicalData), the standard and versatility to guarantee data storage and use.
The characterization of data needs to complete the work such as sifting sort, feature extraction, standardization, should be towards it from obtaining when analysis
Get the whole process used.Data acquiring mode based on the extraction of the physical quantity under different processing conditions, including cutter,
The processing conditions parameter such as workpiece, lathe, cutting data also includes the process such as cutting force, cutting temperature, tool abrasion
Parameter further includes the result parameters such as surface roughness, surface residual stress, tool life；The usage mode of data be then by
What processing purpose determined, the comparative analysis of comparative analysis, different processing stages including different processing conditions, different machining positions
The comparative analysis etc. set also includes comprehensive analysis and the data mining analysis etc. of Cutting data.
The classification of data and description rule need accurately to convey the information such as its feature, source, whereabouts, for the collection of information
Become second nature the difficult point for having high requirement and Database in Cutting Database building with accuracy.Feasible implementation method is when importing from data
Fabric start with that be decomposed to obtain physical data to raw information first (Dataelement), be single with physical data member
Position is standardized description.
The not subdividable minimum unit of data element, that is, internal data, be defined, identified with one group of attribute description, indicated and
One data cell of permissible value has certainty and uniqueness.Its basis is to define title, type and numerical value of data etc.
Feature, Analysis of Deep Implications is then to refine relationship inherent and external between data, from different rules and attribute that these are mixed and disorderly
, isolated data reclassify and organize to obtain new hierarchical structure.It includes 4 parts that it, which is defined:
" object class " (set of abstract concept or things that have clear boundary and meaning, following same rule),
" characteristic " (certain general character that the individual of object class is showed), " determiner " (help defines and presents the art of uniqueness concept
Language can be sky), " expression " (combination of codomain and data type also includes linear module or character set when necessary).Once
Data element completes definition, and physical data can form data element set by topological relation, and with data element.
Set is called for unit and operation, realizes multiple target application.Topological relation by inclusion relation, syntople,
The composition such as dependence and incidence relation is the basic mode that data element establishes structure, formation set etc..For example, basic data
It is inclusion relation between object class set when member and data acquisition, and the process for forming new parameter sets is then according to it
Time of data element of feature setting, space and logic syntople, the comprehensive analysis of final multi-parameter is built upon influence
On the basis of significance analysis and parameter Coupled Interaction Analysis, that is, rely on and incidence relation.It is relied on by the inherence of micro-data
The tacit knowledge for obtaining macroparameter with incidence relation is also the requirement that different data carries out fusion application under big data background.
For cutting physics data source and application internal relation, the present invention propose one kind based on topological relation,
According to the method that data acquisition source, physical property, application characteristic are defined jointly, can " object class " to data element,
" characteristic " and " determiner " 3 kinds of features carry out following class definition:
(1) object class --- class definition is carried out according to physical property and inclusion relation.It, can according to Cutting data feature
Data parent is defined according to the physical object of parameter, and parent is refined according to inclusion relation, obtained subclass inherits father
Whole attributes of class, and finally with the object class of the subclass name definition data element.
Such as the physical quantitys such as dynamic cutting force, cutting temperature measured can be used as father due to unit and property difference
Class, and according to cutting force being divided into x to cutting force, y to cutting force, z to subclasses such as cutting force the characteristics of signal acquisition,
Cutting temperature is divided into the subclasses such as rake face cutting temperature and flank cutting temperature；And formulate in advance workpiece information, cutter
The parameters such as information, lathe information, cutting data information can be directly as object class due to affiliated physical object difference.Due to son
Class boundary and clear, the object class that can be used as the parameters in series are defined.
(2) characteristic --- class definition is carried out according to application characteristic and syntople.For static data, believed by workpiece
The parameter details of breath, tool-information, lathe information, cutting data information etc. are as characteristic；For dynamic data, according to data
Member forms the syntople that primary set is used, and can be classified as the time, 3 kinds of space, logic attribute types are defined.
Time response corresponds to the time variation under particular process parameter between data metavariable, constitutes data set by time relationship.
Such as certain process can be according to " cutting force time-varying characteristics ", " cutting temperature time-varying characteristics ", " tool wear time-varying characteristics "
Etc. characteristics split；
Positional under spatial classification characteristic particular process parameter between data metavariable, constitutes data set by spatial relationship.
Such as certain feed result can be according to " front position surface roughness ", " middle position surface roughness ", " back-end location table
The characteristics such as surface roughness " are split；
Logical division characteristic corresponds to the logicality of time and space extraneous data metavariable, constitutes data by logical relation
Collection.Such as cutting force can be split according to the result of " i factor j is horizontal " under different cutting datas, different cutting speeds are cut
Tool durability can be split according to the result of " durability under the i-th speed ".
(3) determiner --- class definition is carried out according to acquisition modes and processing conditions.It can will be lacked in object class and characteristic
The supplemental information and processing number of mistake are used as determiner together, and form of presentation is defined as " processing method-surface characteristics-experiment volume
Number ".For example, " cylindrical turning-straight line-processing number 0001 ", has carried out the source of data and batch by processing number
Unique characterization, and the processing conditions, processing result and supplemental information under the number collectively form a whole set of process data, ensure that
The integrality that data element decomposes.
Three-dimensional cutting force and wear of the tool flank when in table 1 using CNMG120408 blade turning high strength steel is wide
The definition of demonstration data member for degree partial data:
The Experiment of Tool Wear partial data of 1 turning high strength steel of table
| t/min | Fx/N | Fy/N | Fz/N | VB/mm |
| 0 | 185.1371 | 95.92779 | 229.4696 | 0 |
| 0.25 | 184.4612 | 98.77724 | 236.6114 | 0.0691 |
| 0.5 | 199.6749 | 106.8779 | 238.3515 | 0.1104 |
| 0.75 | 206.1247 | 104.6584 | 247.0929 | 0.1292 |
| … | … | … | … | … |
| 3.25 | 334.8732 | 181.0806 | 282.2134 | 0.367 |
According to the above analysis, the data source is identical, therefore has identical determiner, can uniformly be set to " cylindrical turning-
Straight line-processing number 0001 ", and the definition fructufy of other parts is for example shown in table 2:
The Experiment of Tool Wear data element definition example of 2 turning high strength steel of table
| Object class | Characteristic | It indicates |
| Workpiece information | Workpiece hardness | 52(HRC) |
| Tool-information | Corner radius | 0.8(mm) |
| Cutting data | Cutting speed | 90(r/min) |
| X is to cutting force | Time 30s | 199.6749(N) |
| Z is to cutting force | Time 45s | 247.0929(N) |
| Flank wear width | Time 30s | 0.1104(mm) |
| … | … | … |
By definition, the feature of each data element can fully, uniquely determine, and when in use can be according to difference
Characteristic is transferred and is recombinated, to realize different purposes.Such as it can will be right when being analyzed for certain high strength steel processing characteristics
The total data member under workpiece information is answered to be transferred, and respectively for the factors such as cutter parameters or cutting data parameter to cutting
The influence for cutting power or tool life selects the variable for needing to control to carry out single factor analysis, is combined into unit pair with data element set
Parameter is modeled and is compared；By data mining and parameter optimization method to model on the basis of determining single factor test rule
Rule carries out integration extraction, and many factors are coupled, from the microcosmic correlation angle discovery cutting parameter apolegamy of cutting process
The contents such as rule, surface quality comprehensively control knowledge.
Data element unit helps to break source and batch to the limitation of physical data and can be used as announcement implication relation
Basis the characterization for cutting physics data element and application process can be described according to topological relation figure as shown in FIG. 6.
1.2 physical datas use
Sifting sort, feature extraction, the standardization effort of data are completed, basic unit of the data in system is no longer
Single data form, but using process data as the data element of carrier, system forms different collection by the topological criteria of data element
It closes and completes data use.The use course of physical data be establish data element set merga pass algorithms of different to data element into
The process of row analytical calculation.Data element parser will discuss in further part of the present invention, at present problem to be solved
It is the constructive method of data element set.
According to Fig. 6 characterization provided and application process, can be expressed as being extracted from the data of a certain object class, and
The step of forming the set towards different problems is converted by syntople.Data element set needs to provide institute for functional module
There is initial data, both include measurement result, also includes constraint condition, and the building method of data element set passes through constraint item
Part is that measurement result assigns application message.Consider the realization of data analysis algorithm, usable matrix form is expressed, substantially
Make is that the addition subtraction multiplication and division of matrix and ranks extract, and when application is substituted into set of algorithms completion analytical calculation.Data
The expression formula of member set is as follows:
Sc={ Ca, Cb, (j, Pa, Pb..., Pn)} (1)；
Wherein j is the syntople that Pb ..., Pn are attached, the i.e. time of data element, sky by different variable parameter Pa
Between or logic behaviour, define the connection type of matrix；And Ca and Cb etc. is the constraint condition of measurement result, i.e., using relevant
Parameters relationship defines the operation mode of matrix.Two parts are jointly defined data element set conjunction.
It is analyzed for cutting force parameter, the construction and application method of data element construction set are as shown in Figure 7.It presses
According to the feature definitions of cutting force data element, the two kinds of connection types that can be used are time variable t and logical variable l, respectively needle
The comparative analysis of cutting force under time-varying characteristics and different processing conditions to cutting force under same process conditions.Connecting foundation is
With the mapping of processing conditions, comparative analysis is unfolded by control variable method.It is analyzed so that tool failure is analyzed as an example.Formula
Middle μf={ Pp,At,(t,Fx,Fy,Fz) be Analysis of Friction Coefficient data element set, wherein (t, Fx,Fy,Fz) it is that transverse and longitudinal is sat
Mark, PpFor matrix position constraint, AtFor cutting-tool angle constraint.The Computing Principle of rake face coefficient of friction needs to be sat first
The new coordinate system of transition structure is marked, i.e.,
Solving coefficient of friction under new coordinate system has
The direct analysis parameter of coefficient of friction in example is no longer cutting force data element, needs to carry out recombination change to it
It changes, which is to be realized by the way that constraint matrix is arranged.AtThe cutting-tool angle parameter of storage matrix transformation is At=[λs]T
[γo]；
PpThe location parameter that coefficient of friction solves is stored, is Pp=[pn,pm].By to PpAnd AtDefinition can be to friction
Parameter in coefficient solution is defined, and constitutes identity set with cutting force data element, provides original for the analysis of coefficient of friction
Beginning data.
2.3 multi-source heterogeneous data characterization applications
High-speed cutting physical basis data are multi-source heterogeneous data, including structural data, semi-structured data and non-knot
Structure data, the basic informations such as workpiece, cutter, lathe that wherein high-speed cutting uses belong to structural data, but related cutting
Technical papers, tool wear picture, the macrograph of tool surface and workpiece machining surface, the feed video in cutting process
Etc. belonging to semi-structured data and unstructured data.Compared to basic physics data element, semi-structured and unstructured data exists
Quantity is smaller in system but type is more, needs to formulate different characterizing methods.
First, in accordance with data there are stage and specific effect, the data actually obtained are divided into following 4 class:
(1) conditional parameter of descriptive data --- production and processing.For concept, property, the state etc. to objective things
Description, such as machining feature, machining accuracy, device attribute.Such information content is huge but format is single, can pass through tradition
Sql table directly store, and the method for taking sequence code defines position；
(2) inference rule of judgement property data --- process program.For strategy, method, the rule etc. to problem solving
Description, such as cutting parameter, processing scheme, machining path.It, can comprising a large amount of texts and digital information since content is cumbersome
It is stored using xml document, and the combination of abbreviation code and sequence code is taken to be retrieved；
(3) process variable of Process Character data --- actual processing.For information, figure, the numerical value etc. to processing site
Description, such as cutting force sampling curve, tool wear picture, cutting feed video.Such information format it is complicated and in the presence of
Sequence association needs larger memory space, and describes the mutual time using the combination of abbreviation code, sequence code and square matrix code
Relationship；
(4) final effect of result data --- actual processing.For parameter, pattern, the quality etc. to finished surface
Description, such as residual stress result, micro-hardness result, surface topography picture.The format characteristic and Process Character of the category information
Data are similar, but due to not having sequential correlation, and the combinational code of abbreviation code and sequence code is taken to be retrieved.
In summary 4 kinds of classification, multi-source heterogeneous data basic coding mode include abbreviation code, sequence code, 3 kinds of square matrix code.
Wherein abbreviation code table levies data classification, sequence code characterize data position, and the structure of the two is determined in advance；Square matrix code characterizes file
Sequentially, it is constructed according to quantity of documents, simultaneously because file and the format of parameter are inconsistent, it is also necessary to add in square matrix code
The ID pointer of relevant parameter is added to establish mapping relations.
Typical sequence code coding result example is as shown in table 3.Preceding 2 codes indicate parametric classification, rear 3 code tables
Show parameter details, the description of objective data in cutting test may be implemented in the complete table of the coding mode.
The sequence code example of 3 cutting parameter of table
| Code | Field name | Type Length | Parametric classification | Parameter details |
| 11_005 | WorkpieceHardness | float | Workpiece information | HRC hardness |
| 12_013 | ToolNoseRadius | vachar(50) | Tool-information | Corner radius |
| 13_004 | MachineToolBrand | vachar(50) | Lathe information | The lathe trade mark |
| 20_001 | CuttingSpeed | float | Cutting parameter | Cutting speed |
| 20_011 | CuttingPrecision | vachar(50) | Cutting parameter | Machining accuracy |
| … | … | … | … | … |
And sequence code and the combinational code of square matrix code can preferably corresponding processing process, sequence code corresponds to machined parameters,
And square matrix code corresponds to processing result ID.Such as the cutter feature image retrieval in above-mentioned Experiment of Tool Wear, it can will grind at initial stage
The front and rear knife face image of damage, stable abrasion and sharp wear arranges in the way of 3 × 2 matrixes, forms Pictures location square matrix code
P, the content of each of which element are the corresponding Image ID of the abration position, such as the corresponding abbreviation code of tool wear picture is P_
wear；The ID of the n parameter such as the corresponding abrasion loss of each image, wearing- in period is also constructed in the way of 3 × n matrix simultaneously
Parameter matrix code Q.User can retrieve corresponding abrasion image and correspondence when retrieving abrasion picture position by square matrix code simultaneously
Parameter guarantees also to guarantee that data format is consistent while data content is complete.
The application flows of multi-source heterogeneous data is as shown in figure 8, in process data import system, by table, image, text
Shelves and video are encoded separately, and are integrated multi-source heterogeneous data by decoding, matching, retrieval and operation, form unification
Application model, and extract and save according to the format of standardization.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real
It is existing.When using entirely or partly realizing in the form of a computer program product, the computer program product include one or
Multiple computer instructions.When loading on computers or executing the computer program instructions, entirely or partly generate according to
Process described in the embodiment of the present invention or function.The computer can be general purpose computer, special purpose computer, computer network
Network or other programmable devices.The computer instruction may be stored in a computer readable storage medium, or from one
A computer readable storage medium is transmitted to another computer readable storage medium, for example, the computer instruction can be from
One web-site, computer, server or data center pass through wired (such as coaxial cable, optical fiber, Digital Subscriber Line
(DSL) or wireless (such as infrared, wireless, microwave etc.) mode is into another web-site, computer, server or data
The heart is transmitted).The computer-readable storage medium can be any usable medium that computer can access either
The data storage devices such as server, the data center integrated comprising one or more usable mediums.The usable medium can be
Magnetic medium, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk
Solid State Disk (SSD)) etc..
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (6)
1. a kind of Cutting data service control method, which is characterized in that the Cutting data service control method includes:
(1) typing, the distributed storage in system database are acquired using unified acquisition mode machining and data；
(2) physical data is stored according to physics and logical relation；
(3) using data as clue, actual resource and virtual resource are carried out to arrange transmission and online calling；
(4) parameter model is completed, analysis decision calculates；
(5) different user is in different terminals conveniently and efficiently to the request of Database Systems and response.
2. a kind of Cutting data operation control system of Cutting data service control method as described in claim 1, feature exist
In the Cutting data operation control system includes:
User management module, the different operation for user；
Support technology module, for system development and maintenance；
Data support module, the background data base data for system；
Transaction model, the affairs for system function operating；
Resource transfer module, the actual resource and virtual resource used for system.
3. Cutting data operation control system as described in claim 1, which is characterized in that the Cutting data Service controll
System further comprises:
Information collection and transport layer realize the acquisition of live initial data；
Data description and accumulation layer, realize the expression of cutting physical data；
Knowledge excavation and process layer realize intelligentized data analysis；
Intelligent inference and service layer realize personalized online service.
4. a kind of computer program for realizing Cutting data service control method described in claim 1.
5. a kind of information data processing terminal for realizing Cutting data service control method described in claim 1.
6. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer is executed as weighed
Benefit require 1 described in Cutting data service control method.
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