CN109063838A - A kind of knowledge model serviceization and flow custom system - Google Patents
A kind of knowledge model serviceization and flow custom system Download PDFInfo
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- CN109063838A CN109063838A CN201810946997.8A CN201810946997A CN109063838A CN 109063838 A CN109063838 A CN 109063838A CN 201810946997 A CN201810946997 A CN 201810946997A CN 109063838 A CN109063838 A CN 109063838A
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
- G06N5/022—Knowledge engineering; Knowledge acquisition
Abstract
The invention discloses a kind of knowledge model serviceizations and flow custom system, comprising: knowledge model, for according to different numerical statistic indexs it is for statistical analysis and for participate in spatial analysis data set carry out spatial analysis, determine optimal spatial analyze result；Knowledge services pond, including knowledge services container and knowledge services component, for externally providing service by knowledge services component；Knowledge engine for the different knowledge model of different business scene composition to be formed knowledge chain using flow engine, and carries out operation to knowledge chain and obtains operation result；Visualization layer, for operation result to be shown.The embodiment of the present invention is on the basis of realizing the service of space-time knowledge model, establish the frame of the online visible customization of knowledge services, a variety of knowledge models can be extended, by the way that the knowledge model of atomic size is assembled on demand, it helps user to complete online big data analysis, meets the analysis application demand of the space-time big data under plurality of application scenes.
Description
Technical field
The present invention relates to technical field of data processing, especially a kind of knowledge model serviceization and flow custom system.
Background technique
Knowledge Service System be scattered in personal experience, technical ability is put together, knowledge sharing is realized, domain knowledge group
It knits, allows computer can be as expert, aid decision becomes comprehensive knowledge set, and it is original or newly-built to promote enterprise
System is allowed to intelligent.
Currently, to knowledge services and flow custom usually using following technology:
Visualize spatial modeling technology: it is current, existing spatial modeling tool and model generator (such as: ERDAS
The model generator (Model Builder) of IMAGINE spatial modeling tool (Spatial Modeler) and ESRI ArcGIS)
Visual object-oriented model language environment is provided, user can be by drawing on panel with intuitive graphic language
Flow chart processed generates spatial model, and executes the model, returns to visualization result.
Data pick-up, conversion, loading technique (ETL:Extract-Transform-Load): ETL is user from data source
Required data are extracted, by data cleansing, finally according to the data warehouse model pre-defined, load data into number
According in warehouse.In ETL framework, patterned interface is provided to design business rule, the whole process of data all exists
It is flowed between target and the database in source, ELT coordinates relevant Database Systems to execute relevant application, data mart modeling process
Both it can execute, can also be executed at target database end at source database end.For example, Pentaho Kettle can help to use
Family manages the data from disparate databases, by providing a patterned user environment Spoon for design data conversion
Process.In Spoon, preset component is can be used to design flow path switch in the panel in user, and in Log View panel
In check operation result.
GIS service chain and workflow technology: in paper, " workflow technology is studied and be based on to GIS service chain model to quiet Chang Feng
Realization " in, using GIS service chain as research object, study GIS service chain application integration model, visual modeling method, and
Using urban planning administration system as application example, explores the GIS service catenary system based on workflow technology and realize.However the research
Only a part of GIS service chain research, in the versatility application aspects of various industries, there are also to be verified.
Knowledge model service and flow custom are carried out using the prior art, there are the following problems:
(1) current GIS data modeling or tool do not meet working flow products specification mostly, there is the software of oneself
Architecture and API Calls interface, spatial model is also all inconsistent, does not support to interoperate between them；
(2) current GIS data modeling or tool are based on some specific GIS software mostly, and system is flexible
Property is inadequate, and expandability is poor.Due to relying on some specific GIS software, application range is limited；
(3) current GIS data modeling or tool are often the single machine user towards profession, do not have on-line analysis
Mining ability.
Summary of the invention
The embodiment of the present invention problem to solve is that, a kind of knowledge model serviceization and flow custom system are provided,
The frame of the online visible customization of knowledge services can be established, can be extended on the basis of realizing the service of space-time knowledge model
A variety of knowledge models help user to complete online big data analysis, meet by assembling the knowledge model of atomic size on demand
The analysis application demand of space-time big data under plurality of application scenes.
To solve the above problems, An embodiment provides a kind of knowledge model serviceizations and flow custom system
System, comprising:
Knowledge model, for selecting data set according to numerical statistic task set by user and in specific field, according to not
It is for statistical analysis with numerical statistic index, to complete task configuration, and it is used for according to spatial analysis task set by user,
Spatial analysis is carried out to the data set for participating in spatial analysis, determines that optimal spatial analyzes result；
Knowledge services pond, including knowledge services container and knowledge services component, for injecting several knowledge models, and
Service is externally provided by the knowledge services component；Wherein, the knowledge services container is for undertaking Web site, service hair
Engine, the container of knowledge model plug-in unit and the client of registration center of cloth；
Knowledge engine is based on the knowledge services container, for using flow engine that different business scene composition is different
The knowledge model formed knowledge chain, and to the knowledge chain carry out operation obtain the operation result；
Visualization layer obtains corresponding operation result from knowledge engine and is opened up for the request instruction according to user
Show.
Further, the knowledge model, including Statistic analysis models library and spatial analytical model library；
The Statistic analysis models library, for being held after specifying sorting field and static fields to the data set in working space
Row statistical analysis, specifically, the Statistic analysis models library includes time statistic unit, numerical statistic unit and abnormal conditions system
Count unit；Wherein, the time statistic unit is for providing the Statistical Analysis in hour, day, week, the moon, season and year, the number
Data-Statistics unit is for providing minimum value, maximum value, average value, standard deviation, variance, the degree of bias, kurtosis, summation, median, record
The numerical statistic analysis of number, missing and frequency；
The spatial analytical model library, for in working space participate in spatial analysis data set carry out network analysis,
At least one of interpolation analysis, linking parsing, grid analysis, neighbouring analysis or polymerization analysis spatial analysis.
Further, the knowledge engine includes business process designer, flow engine and registration center；Wherein,
The business process designer, for visual process figure is interpreted as the flow engine it will be appreciated that member
Element specifically, forming the BPMN flow file of standard by the visible customization mode of front end, and is mapped as the knowledge engine
Built-in objects；The element includes process, node, event, task, flowage structure control point, monitor, flowline and process
Structure；
The flow engine supports BPMN standard, for cooperateing with the knowledge model to transmit data according to the rule of setting,
And the data are carried out with the assembling of various Different treatments, customization procedural model is completed, knowledge chain is formed；
The registration center, for managed using Zookeeper technology the service registration of the knowledge services container with
Service discovery.
Further, the registration center, including Zookeeper cluster, with service offer center and the service consumer center
Connection；
The Zookeeper cluster of the registration center realizes Push model by Watcher mechanism, several for receiving
The nodal information registered when knowledge services container starts to Zookeeper, and the change of the nodal information is notified into institute in time
State service consumption center；Specifically,
Supplier of the service container as service is known at the service offer center, on startup, to the registration center
Request connects, and adds the nodal information of current knowledge service container in a manner of Node registry after successful connection；Further
Ground, the company of the knowledge services container and the registration center caused by knowledge services container stopping or because of server delay machine
When connecing interruption, the registration center can remove the nodal information of the knowledge services container in service list, and described in notice
Service consumption center.
Further, the service consumption center is serviced as the consumer of service for obtaining to the registration center
Metadata information provides the service metadata information to the flow custom device by Web service form.
Further, the customization procedural model includes uniline procedural model and parallel procedural model.
Further, the operation result includes statistical report form, thermodynamic chart, thematic map and visualized data.
Further, the knowledge services component includes model encapsulation unit, service metadata unit and service call list
Member.
Implement the embodiment of the present invention, has the effect that
The embodiment of the present invention combines GIS and Web service, on the basis of realizing the service of space-time knowledge model, builds
The frame of the vertical online visible customization of knowledge services, can extend a variety of knowledge models；Simultaneously by by the knowledge mould of atomic size
Type assembles on demand, and user is helped to complete online big data analysis, and the analysis for meeting the space-time big data under plurality of application scenes is answered
Use demand.
Detailed description of the invention
Fig. 1 is that the framework of a kind of knowledge model serviceization and flow custom system provided by one embodiment of the present invention is illustrated
Figure；
Fig. 2 is a kind of another framework of knowledge model serviceization and flow custom system provided by one embodiment of the present invention
Schematic diagram；
Fig. 3 is numerical statistic flow chart provided by one embodiment of the present invention；
Fig. 4 is network analysis flow chart provided by one embodiment of the present invention；
Fig. 5 is knowledge engine building-block of logic provided by one embodiment of the present invention；
Fig. 6 is registration center's building-block of logic provided by one embodiment of the present invention；
Fig. 7 is uniline procedural model flow chart provided by one embodiment of the present invention and parallel process model flow figure；
Fig. 8 is knowledge container logical architecture figure provided by one embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
One embodiment provided by the invention.
Please refer to Fig. 1-8.
Refering to fig. 1,101 serviceization of a kind of knowledge model provided in an embodiment of the present invention and flow custom system, comprising:
Knowledge model 101 is pressed for selecting data set according to numerical statistic task set by user and in specific field
It is for statistical analysis according to different numerical statistic indexs, to complete task configuration, and for according to spatial analysis set by user
Task carries out spatial analysis to the data set for participating in spatial analysis, determines that optimal spatial analyzes result.
Knowledge services pond 102, including knowledge services container and knowledge services component, for injecting several knowledge models
101, and service is externally provided by the knowledge services component；Wherein, the knowledge services container for undertake Web site,
Service engine, the container of 101 plug-in unit of knowledge model and the client of registration center of publication；Referring to Fig. 8, for the present invention one
The knowledge container logical architecture figure that a embodiment provides.Multiple knowledge models 101 can be injected in each knowledge services container, pass through
Container externally provides service；Each node can dispose one or more knowledge services containers, and multiple nodes form distributed portion
Administration；The registration management of administration of branch node is carried out using registration center's mechanism.
Knowledge engine 103, be based on the knowledge services container, for using flow engine by different business scene composition not
The same knowledge model 101 forms knowledge chain, and carries out operation to the knowledge chain and obtain the operation result.
Visualization layer 104 obtains corresponding operation result for the request instruction according to user from knowledge engine 103
It is shown.
Referring to fig. 2, in the present embodiment, the knowledge model 101, including Statistic analysis models library and spatial analytical model
Library；Statistic analysis models library is stated, for executing statistics after specifying sorting field and static fields to the data set in working space
Analysis, specifically, the Statistic analysis models library includes that time statistic unit, numerical statistic unit and abnormal conditions statistics are single
Member；Wherein, the time statistic unit is for providing the Statistical Analysis in hour, day, week, the moon, season and year, the numerical value system
Meter unit for provide minimum value, maximum value, average value, standard deviation, variance, the degree of bias, kurtosis, summation, median, record number,
The numerical statistic of missing and frequency is analyzed；It is numerical statistic flow chart provided by one embodiment of the present invention, user referring to Fig. 3
Data set can be counted according to different statistical conditions according to the numerical statistic task choosing data set in working space
Analysis, when the data set or parameter that user submits do not meet the requirement of numerical statistic, system prompt verifying does not pass through, and returns
Task creates link, and when the data set or parameter that user submits meet the requirement of numerical statistic, system prompt is verified, and is appointed
Business configuration is completed.Different statistical conditions includes: maximum Data-Statistics, minimum Data-Statistics, average value statistics, standard deviation statistics, side
Poor statistics, degree of bias statistics, kurtosis statistics, summation statistics, median statistics, record counting, miss statistics and Frequency statistics.
The spatial analytical model library, for in working space participate in spatial analysis data set carry out network analysis,
At least one of interpolation analysis, linking parsing, grid analysis, neighbouring analysis or polymerization analysis spatial analysis.Referring to fig. 4, it is
Network analysis flow chart provided by one embodiment of the present invention.User inputs network number to the spatial analysis task in working space
According to collection, starting point, initial time, terminal and impedance attribute are inputted, it is being analyzed on, is obtaining shortest path；It is right
Its time or other analyzed, obtain the time or other.Shortest path and optimal path are that two kinds of network analysis are basic
Form.Solution path analysis indicates to search most fast, most short even optimal path according to the impedance to be solved.If impedance is
Time, then best route is most fast route.If impedance is the time attribute with real-time or historical traffic, optimal path
It is most fast path for scheduled date and time.Therefore, optimal path can be defined as to impedance is minimum or cost is minimum
Path, wherein impedance is selected by user.When determining optimal path, all cost natures can be employed as impedance.
Referring to fig. 2, in the present embodiment, the knowledge engine 103 includes in business process designer, flow engine and registration
The heart；Wherein, the business process designer, for visual process figure is interpreted as the flow engine it will be appreciated that member
Element specifically, forming the BPMN flow file of standard by the visible customization mode of front end, and is mapped as the knowledge engine
103 built-in objects；The element include process, node, event, task, flowage structure control point, monitor, flowline and
Flowage structure.The design of the business process designer is divided into three processes:
1, the Visualization Model node before process design is generated and is shown.
2, the configuration process of process, shows node elements, dragging, draws and attribute configuration, formation are visual
Process.
3, the process of configuration is interpreted and is converted, form the BPMN format of standard, and persistence.
The flow engine supports BPMN standard, for cooperateing with the knowledge model 101 according to the rule transmitting number of setting
According to, and the data are carried out with the assembling of various Different treatments, customization procedural model is completed, knowledge chain is formed.
The registration center, for managed using Zookeeper technology the service registration of the knowledge services container with
Service discovery.
It is 103 building-block of logic of knowledge engine provided by one embodiment of the present invention referring to Fig. 5.Pass through knowledge model 101
Container configures business process designer, and flow custom is generated BPMN.xml intermediate file, parses to intermediate file,
Parsing result is generated into corresponding knowledge chain by flow engine.
Referring to Fig. 6, in the present embodiment, the registration center, including Zookeeper cluster, with service offer center and
The connection of service consumption center.
The Zookeeper cluster of the registration center realizes Push model by Watcher mechanism, several for receiving
The nodal information registered when knowledge services container starts to Zookeeper, and the change of the nodal information is notified into institute in time
State service consumption center；Specifically, supplier of the service container as service is known at the service offer center, on startup,
It requests to connect to the registration center, and adds the section of current knowledge service container in a manner of Node registry after successful connection
Point information；Further, the knowledge services container and institute caused by knowledge services container stopping or because of server delay machine
When stating the disconnecting of registration center, the registration center can remove the node letter of the knowledge services container in service list
Breath, and notify the service consumption center.The registration center manages container node registration and hair by zookeeper technology
It is existing,；To solve the problems, such as that container service is found.
In the present embodiment, the service consumption center, as the consumer of service, for being obtained to the registration center
Service metadata information provides the service metadata information to the flow custom device by Web service form.
Referring to Fig. 7, in the present embodiment, the customization procedural model includes uniline procedural model and parallel procedural model.
The production of the uniline procedural model does not need calculating task parallel processing during referring to model customizing, and process is in knowledge flow
" increasing beginning event ", " addition task ", " increasing End Event ", " executing model " are pulled in model customizing module and " are checked
As a result " control is organized into a complete knowledge flow model, wherein multiple " task " controls can be dragged in complete continuously to transport
It calculates.The production of the parallel procedural model refers to addition " the parallel method of operation " control when making knowledge flow model, passes through choosing
Model executive mode is selected to be performed simultaneously two calculating tasks, and the result of two calculating tasks can be come as data source and its
He carries out operation, such as overlay analysis at task.
Referring to fig. 2, in the present embodiment, the operation result includes statistical report form, thermodynamic chart, thematic map and visualization number
According to.
Referring to fig. 2, in the present embodiment, the knowledge services component includes model encapsulation unit, service metadata unit
With service call unit.
The invention discloses a kind of 101 serviceizations of knowledge model and flow custom system, comprising: knowledge model 101 is used for
According to different numerical statistic indexs it is for statistical analysis and for participate in spatial analysis data set carry out spatial analysis, really
Determine optimal spatial analysis result；Knowledge services pond 102, including knowledge services container and knowledge services component, for passing through knowledge
Serviced component externally provides service；Knowledge engine 103, for knowledge using flow engine that different business scene composition is different
Model 101 forms knowledge chain, and carries out operation to knowledge chain and obtain operation result；Visualization layer 104, for by operation result into
Row is shown.The embodiment of the present invention is established knowledge services and is visualized online on the basis of realizing 101 serviceization of space-time knowledge model
The frame of customization can extend a variety of knowledge models 101, by assembling the knowledge model 101 of atomic size on demand, help user
Online big data analysis is completed, the analysis application demand of the space-time big data under plurality of application scenes is met.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, without departing from the principle of the present invention, several improvement and deformations can also be made, these improvement and deformations are also considered as
Protection scope of the present invention.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
Claims (8)
1. a kind of knowledge model serviceization and flow custom system characterized by comprising
Knowledge model, for selecting data set according to numerical statistic task set by user and in specific field, according to different numbers
Data-Statistics index is for statistical analysis, to complete task configuration, and is used for according to spatial analysis task set by user, to ginseng
Spatial analysis is carried out with the data set of spatial analysis, determines that optimal spatial analyzes result；
Knowledge services pond, including knowledge services container and knowledge services component, for injecting several knowledge models, and pass through
The knowledge services component externally provides service；Wherein, the knowledge services container is used to undertake Web site, service is issued
The client of engine, the container of knowledge model plug-in unit and registration center；
Knowledge engine is based on the knowledge services container, for institutes using flow engine that different business scene composition is different
It states knowledge model and forms knowledge chain, and operation is carried out to the knowledge chain and obtains the operation result；
Visualization layer obtains corresponding operation result from knowledge engine and is shown for the request instruction according to user.
2. knowledge model serviceization according to claim 1 and flow custom system, which is characterized in that
The knowledge model, including Statistic analysis models library and spatial analytical model library；
The Statistic analysis models library, for executing system after specifying sorting field and static fields to the data set in working space
Meter analysis, specifically, the Statistic analysis models library includes that time statistic unit, numerical statistic unit and abnormal conditions statistics are single
Member；Wherein, the time statistic unit is for providing the Statistical Analysis in hour, day, week, the moon, season and year, the numerical value system
Meter unit for provide minimum value, maximum value, average value, standard deviation, variance, the degree of bias, kurtosis, summation, median, record number,
The numerical statistic of missing and frequency is analyzed；
The spatial analytical model library, for carrying out network analysis, interpolation to the data set for participating in spatial analysis in working space
At least one of analysis, linking parsing, grid analysis, neighbouring analysis or polymerization analysis spatial analysis.
3. knowledge model serviceization according to claim 1 and flow custom system, which is characterized in that the knowledge engine
Including business process designer, flow engine and registration center；Wherein,
The business process designer, for visual process figure is interpreted as the flow engine it will be appreciated that element, tool
Body, the BPMN flow file of standard is formed by the visible customization mode of front end, and be mapped as the interior of the knowledge engine
Set object；The element includes process, node, event, task, flowage structure control point, monitor, flowline and process knot
Structure；
The flow engine supports BPMN standard, for cooperateing with the knowledge model to transmit data according to the rule of setting, and it is right
The data carry out the assembling of various Different treatments, complete customization procedural model, form knowledge chain；
The registration center, for managing the service registration and service of the knowledge services container using Zookeeper technology
It was found that.
4. knowledge model serviceization according to claim 3 and flow custom system, which is characterized in that in the registration
The heart, including Zookeeper cluster are connect with service offer center and the service consumer center；
The Zookeeper cluster of the registration center realizes Push model by Watcher mechanism, for receiving several knowledge
The nodal information registered when service container starts to Zookeeper, and the change of the nodal information is notified into the clothes in time
The business consumer center；Specifically,
Supplier of the service container as service is known at the service offer center, on startup, requests to the registration center
It connects, and adds the nodal information of current knowledge service container in a manner of Node registry after successful connection；Further, when
The knowledge services container stops or because caused by server delay machine in the connection of the knowledge services container and the registration center
When disconnected, the registration center can remove the nodal information of the knowledge services container in service list, and notify the service
The consumer center.
5. knowledge model serviceization according to claim 4 and flow custom system, which is characterized in that the service consumption
Center, as the consumer of service, for obtaining service metadata information to the registration center, by Web service form to
The flow custom device provides the service metadata information.
6. knowledge model serviceization according to claim 3 and flow custom system, which is characterized in that the customization process
Model includes uniline procedural model and parallel procedural model.
7. knowledge model serviceization according to claim 1 and flow custom system, which is characterized in that the operation result
Including statistical report form, thermodynamic chart, thematic map and visualized data.
8. knowledge model serviceization according to claim 1 and flow custom system, which is characterized in that the knowledge services
Component includes model encapsulation unit, service metadata unit and service call unit.
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| CN109063838B (en) | 2022-04-15 |
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