CN105467953B - A kind of representation of knowledge and its automation application method towards industrial big data - Google Patents
A kind of representation of knowledge and its automation application method towards industrial big data Download PDFInfo
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Abstract
The invention discloses a kind of representation of knowledge towards industrial big data and its automation application method.This method is：1) smart object of a corresponding classification is created to every a kind of knowledge resource in industrial enterprise, obtains a smart object storehouse；2) for each definition of setting traffic issues corresponding various decision conditions and computation model, the autoknowledge for establishing the traffic issues is regular；3) according to the autoknowledges of traffic issues rule and service logic, the operation flow of the traffic issues is created；4) event data to be processed is determined from industrial enterprise's real time information data according to the configuration of the operation flow start node, then generating event statements according to the event data is sent to event engine；5) event engine searches the node of matching according to the event statements received from the operation flow or smart object is handled, and preserves result.The present invention realizes the precipitation and succession and automation application of business experience, improves business processing efficiency.
Description
Technical field
The invention belongs to field of information processing, and in particular to a kind of representation of knowledge and its automation towards industrial big data
Application process.
Background technology
By construction for many years and developed for the industrial trade of representative with petrochemical industry, metallurgy, digitlization, informationization have penetrated into
Industrial every nook and cranny, the rapid growth and good application of data volume have been in the key node of quantitative change to qualitative change, soon
Speed, which obtains information capability, promptly and accurately analysis and the ability of assessment information, turns into flow industry enterprise core competitive power key element.
The value of process industry big data is played, it is necessary to solve the problems, such as to include：(1) knowledge Modeling is complicated, knowledge mould
Type isomery.By taking petrochemical industry as an example, including the different types of knowledge such as mechanism model, business rule, expertise, it is difficult to it is integrated
Use.(2) knowledge implementation procedure has a stronger time-constrain, and data processing is ageing strong.If industrial production operation is with industry
Based on live substantial amounts of real-time sensory data, the time limit of processing requires high, and the complexity and changes in demand of business cause to mark
The adaptability of quasi- operation flow is weaker, it is necessary to highly efficient knowledge application framework.
The content of the invention
For technical problem present in prior art, it is an object of the invention to provide a kind of towards industrial big data
The representation of knowledge and its automation application method.
For achieving the above object, the present invention adopts the following technical scheme that：
A kind of representation of knowledge and its automation application method towards industrial big data, its step are：
1) smart object of a corresponding classification is created to every a kind of knowledge resource in industrial enterprise, obtains a smart object
Storehouse；
2) for each definition of setting traffic issues corresponding various decision conditions and computation model, the traffic issues are established
Autoknowledge rule；
3) according to the autoknowledges of traffic issues rule and service logic, the operation flow of the traffic issues is created；
4) determine to handle from industrial enterprise's real time information data according to the configuration of the operation flow start node
Event data, then according to the event data generate event statements be sent to event engine；
5) event engine searches the node of matching according to the event statements received from the operation flow or smart object enters
Row processing, and preserve result.
Further, the smart object is the formalized description of corresponding knowledge resource, including attribute, function, interface
Triplet information.
Further, the attribute information includes title, subject area, computation model information；The function information is used for bright
The structure target of true smart object；The interface message includes the input of smart object, output interface, is provided with input interface defeated
Enter in variable, output interface and be provided with output variable.
Further, described in the computation model in the autoknowledge rule is chosen from the smart object storehouse
The smart object called is needed in operation flow.
Further, the operation flow includes Row control node, data source, output node, data processing node, intelligence
Can object.
Further, the Row control node includes start node, end node, if predicate nodes, case judgement sections
Point, and_or predicate nodes；The data processing node includes merge node, selects node, goes multiple knot, filter node, row
Sequence node, additional node.
Further, industrial enterprise's knowledge resource is classified according to the dimension of enterprise-subsidiary factory-device, created every
The smart object of a kind of knowledge resource.
Further, the knowledge resource of described device dimension includes smart object storehouse, Process ba- sis storehouse, document library, knowledge
Automation；With the upper limit value and lower limit value of Rule of judgment described in the process chart information setting in the Process ba- sis storehouse.
Further, the VIS simulation creating environments operation flow is passed through；The smart object storehouse, which is provided with one, to collect
Smart object into the smart object of third party's modeling tool structure builds template.
Further, the smart object in the smart object storehouse is called by WebService or dynamic link library.
The present invention provides a kind of representation of knowledge and its automation application method towards industrial big data：
Data are obtained from the data source of industrial enterprise, builds and safeguards smart object, taken out by smart object and rule
As changing Description of Knowledge resource (such as computation model, operation manual, process chart) and operation condition (when such as data are less than setting value
Alarm), and then smart object storehouse is formed, multi-source heterogeneous information management is realized, further will be regular and intelligent according to business demand
Object composition builds operation flow to express different business logic, realizes autoknowledge application.
The smart object refers to abstractdesription of the knowledge resource in information system in industrial enterprise, including equipment intelligence
Energy object, algorithm smart object, business intelligence object etc..By taking business intelligence object as an example, it is according to industrial production feature form
Change the triple for being expressed as attribute, function, interface, reflect typical unit equipment running process state and operation peace in industrial enterprise
Other features of full property and validity etc.；Smart object is not limited to itself modeling tool, can also be built by Interface integration third party
The smart object of mould tools build, there is the scalability of height.
The autoknowledge rule defines a complete calculating service procedure for solving setting business data processing
Model, it defines various decision conditions and calculating process for specific traffic issues；Rule is defined by the user and modified,
The rule that can solve the problem that further problems can be combined into by several independent rules；(opened by adding Row control node
Begin, terminate, if judge, case judge, and_or judge etc.), data source (real time data, relation data source node etc.), output
Node, data processing node (merging, selection, duplicate removal, filtering, sequence, addition etc.), smart object (such as service node, algorithm section
Point) carry out data flow establishment, combination, scheduling and monitoring, finishing service data process method.
The smart object storehouse is managed and safeguarded by knowledge manager, there is provided establishment/importing, modification, deletion etc. are grasped
Make type, and start context of smart object renewal etc..Types of objects is entered according to different grain sizes such as enterprise, subsidiary factory, devices
Row management.
The Process ba- sis storehouse that is included under described device classification, document library related content can be led material upload according to template
Enter, realize the management to all relevant knowledges of device；When building operation flow, come with the process chart information in Process ba- sis storehouse
Set the upper lower limit value of rule.
The autoknowledge content is connected smart object with rule by VIS simulation environment according to business demand
Realize；The operation flow newly built can be described as new business intelligence object and be stored in smart object storehouse, realize smart object storehouse
Renewal.Operation flow is built according to the business processing logic specifically produced, and the operation flow newly built can regard one as
Individual big business intelligence object, can equally be called, and the definition also in compliance with smart object triple (attribute, function, connects
Mouthful).
A kind of representation of knowledge and its automation application system towards industrial big data, including smart object, knowledge are automatic
Change four rule, knowledge base management device, knowledge base performer parts, such as Fig. 1.
The smart object refers to abstractdesription of the knowledge resource in information system in industrial enterprise, and it is according to industry
Productive prospecting formalization representation is attribute, function, the triple of interface, reflects typical unit equipment running process in industrial enterprise
Other features such as state and processing safety and validity；Each smart object input variable defined in building process and output
Variable, by predefined input and the matching of output variable between smart object, realize the association of different intelligent object.
The attribute refers to the description of smart object essential information, including the information such as title, subject area, computation model；It is described
Function description is the generality description to smart object allomeric function, specifies the structure target of smart object；The interface description
Refer to input to the smart object, output interface is described and represented, also to interacting between smart object and external environment condition
Information is modeled.
The autoknowledge rule defines a complete calculating service procedure model, and it is directed to specific traffic issues
Various decision conditions and computation model are defined, rule is defined by the user and modified, can be by several independent rules
It is combined into the rule that can solve the problem that further problems；By visible environment according to rule and traffic issues corresponding to service logic
Row control node is chosen [as beginning, end, if judge that (condition judgment), case judge that (multiple-limb judgement), and_or judge
(logic judgment) etc.], data source (real time data, relation data source node etc.), output node, data processing node (merge, choosing
Select, duplicate removal, filtering, sequence, addition etc.), smart object (such as business type smart object, algorithmic form smart object) create corresponding industry
The operation flow of business problem.
The knowledge base management device is that dynamic manages and concentrated coordination smart object storehouse, Process ba- sis storehouse, document library, knowledge
The platform of automation, there is provided basic operation service meets needs that business activity performs, including establishment/importing, modification, deletion
Etc. action type, and start context of smart object renewal etc..The present invention divides knowledge pipe according to the standards of IEC/ISO 62264
Manage dimension.By taking petroleum chemical enterprise as an example, knowledge base content is classified according to the dimension of " enterprise-subsidiary factory-device ", with device
For core, include the contents such as smart object storehouse, Process ba- sis storehouse, document library, autoknowledge under each device dimension respectively.
The smart object storehouse is not limited to the smart object of itself modeling tool structure, by providing smart object bag
(i.e. smart object structure template, need to provide the smart object identical describing mode with inventive article structure) can integrate the 3rd
The smart object of square modeling tool structure, is called by WebService or dynamic link library, has the scalability of height；Institute
Process ba- sis storehouse is stated mainly comprising information such as the device distribution related to device, technology code, process charts, is device base
This information collects, and when building operation flow, the upper lower limit value of rule is set with the process chart information in Process ba- sis storehouse；
The document library is mainly comprising the Process ba- sis document related to device, safe aid decision history document, energy source optimization
The relevant documentations such as report file, user's manual collect；The autoknowledge is that the technological process built is monitored,
And new technological process can be built by knowledge performer, realize application of the knowledge in industrial enterprise's business.
VIS simulation environment is included in the knowledge base performer, there is provided visual data flow rule is configured to build
Operation flow, realize the expression and operation of different business logic；All real time information datas of enterprise access knowledge as event
Storehouse performer；Event to be processed is determined by the configuration of flow start node, produces event statements (class SQL statement), hair
It is sent to event engine and performs parsing；Event engine searches the section of matching for the event that reaches or leave from the operation flow
Point or smart object are handled, and will then handle obtained result write-in relational database；User can according to rule configuration come
One or more smart objects are called, not the internal processing logic of direct intervention smart object, but smart object can be managed
Establishment and removal；Newly-built operation flow can be stored in smart object storehouse as new smart object, realize smart object
The renewal in storehouse；Operation flow needs to be verified by authentication mechanism before preserving, and authentication mechanism is based on smart object (including business
Node, algorithm node) input, output variable are predefined.
Advantages and advantages of the invention are embodied in：
1) present invention realizes the Unify legislation of multi-source heterogeneous model in industrial big data, enters one by building smart object
Step by knowledge base management device to the integrated of different dimensions model and management, realize each class model under each classification (business rule,
Facility information, operational procedure etc.) centralized management, and can by Interface integration third party modeling tool build smart object,
With height autgmentability；
2) present invention realizes the solidification of professional knowledge and expertise by defining business rule, by the optimal of traffic issues
Operating method is packaged into knowledge, and further enters line discipline by knowledge base performer and configure, and forms and is asked for specific transactions
The systematic approach of topic, and can be offered reference for same problems, realize precipitation and succession and the automation of business experience
Using improving business processing efficiency.
Brief description of the drawings
Fig. 1 is the representation of knowledge and its automation application method frame schematic diagram towards industrial big data；
Fig. 2 is knowledge base performer structure chart；
Fig. 3 is DA203N caustic wash tower Failure Alarms flow structure circulation figure.
Embodiment
For the purpose of the present invention, specific steps and advantage is more clearly understood, below in conjunction with specific embodiment, and reference
Accompanying drawing, the present invention is described in further details.
The present embodiment chooses case study on implementation of certain petroleum chemical enterprise's chemical industry subsidiary factory ethylene unit as the present invention.
By taking chemical industry subsidiary factory of the petroleum chemical enterprise ethylene unit as an example, propylene distillation system (including DA-406, DA-456 and DA-
1406 3 towers) it is to realize to propylene rectifying, and in normal conditions, it then follows material balance rule, i.e. total feed are with always going out
Doses is equal.And when both differ larger, it is abnormal, it is necessary to which operating personnel adjust in time to illustrate that process system operating occurs.When
The analysis to this situation of preceding ethylene unit technologists and operating personnel judge still to rest on only with operating personnel according to
Whether charging and discharging situation are consistent, occur whether deviation is in the empirical analysis such as instrument problem.
Based on this, the unusual service condition problem of the class complicated event of alkali cleaning failure, catalyst poisoning catalyst etc. 5 need to be carried out deep
Enter analysis.So that combinde alarms are failed in alkali cleaning as an example, " failure of DA203N caustic wash towers " smart object is built, including model belongs to substantially
Property, interface.
Wherein, base attribute refers to the description of smart object essential information, including title, numbering, subject area, version number etc.
Information.
| Title | DA203N caustic wash towers fail |
| Numbering | 201409010012 |
| Subject area | Combinde alarms |
| Version number | V2.3 |
| Update date | 20140924 |
Interface message refers to input to the smart object, output interface is described and represented, also to smart object with it is outer
Interactive information between portion's environment is modeled.
Input information：
Output information：
Further, flow is built based on " failure of DA203N caustic wash towers " smart object.Establish the association analysis of unusual service condition
Model, cracking gas enter pyrolysis furnace need by alkali cleaning, embody alkali cleaning effect mainly by analysis outlet alkali concn value and whether
Band butter, reactor batch temperature, tower top content of acid gas etc., if merge hydrogen gas amount and ductwork pressure etc. other
Part judges, can also further find catalyst poisoning problem.
Consider multivariable alarm between sequential relationship, by visual process modeling instrument carry out process modeling,
Realize and be associated analysis and real-time abnormality detection under complex working condition to the alarm of device multi-parameter, and the unusual service condition that failed to alkali cleaning
Carry out combinde alarms prompting, such as Fig. 3.
The alarm monitoring of alkali cleaning failure and accident analysis rely on alarm decision flow and are supported, such as June 11 in 2015
Day 18:46:When 57, DA203N caustic wash towers occur alkali cleaning and fail and alarm, and time of failure, position, reason, suggestion for operation are equal
It has been shown that, through practice, there is preferable application effect in the alarm monitoring page.
Claims (10)
1. a kind of representation of knowledge and its automation application method towards industrial big data, its step are：
1) smart object of a corresponding classification is created to every a kind of knowledge resource in industrial enterprise, obtains a smart object storehouse；
2) for each definition of setting traffic issues corresponding various decision conditions and computation model, knowing for the traffic issues is established
Know automation rule；
3) according to the autoknowledges of traffic issues rule and service logic, the operation flow of the traffic issues is created；
4) thing to be processed is determined from industrial enterprise's real time information data according to the configuration of the operation flow start node
Number of packages evidence, event statements are then generated according to the event data and are sent to event engine；
5) event engine searches from the operation flow node of matching according to the event statements received or from smart object carries out
Reason, and preserve result.
2. the method as described in claim 1, it is characterised in that the smart object is that the formalization of corresponding knowledge resource is retouched
State, include the triplet information of attribute, function, interface.
3. method as claimed in claim 2, it is characterised in that the attribute information includes title, subject area, computation model letter
Breath；The function information is used for the structure target of clear and definite smart object；The interface message includes the input of smart object, output
Interface, it is provided with input variable, output interface in input interface and is provided with output variable.
4. method as claimed in claim 3, it is characterised in that computation model in the autoknowledge rule is from institute
State the smart object chosen in smart object storehouse and need to call in the operation flow.
5. the method as described in claim 1 or 2 or 3, it is characterised in that the operation flow includes Row control node, number
According to source, output node, data processing node, smart object.
6. method as claimed in claim 5, it is characterised in that the Row control node include start node, end node,
Condition judgment node, multiple-limb decision node, logic judgment node；The data processing node includes merge node, selection section
Point, remove multiple knot, filter node, ordering joint, additional node.
7. the method as described in claim 1, it is characterised in that the dimension according to enterprise-subsidiary factory-device is known industrial enterprise
Know resource to be classified, create the smart object per a kind of knowledge resource.
8. method as claimed in claim 7, it is characterised in that the knowledge resource of described device dimension include smart object storehouse,
Process ba- sis storehouse, document library, autoknowledge；With decision condition described in the process chart information setting in the Process ba- sis storehouse
Upper limit value and lower limit value.
9. the method as described in claim 1, it is characterised in that pass through the VIS simulation creating environments operation flow；Institute
State smart object structure template of the smart object storehouse provided with a smart object that can integrate third party's modeling tool structure.
10. the method as described in claim 1, it is characterised in that the intelligence is called by WebService or dynamic link library
Smart object in energy library of object.
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| CN107688325B (en) * | 2016-08-05 | 2019-12-13 | 中国科学院软件研究所 | Industrial knowledge automatic processing method oriented to real-time sensing environment |
| CN106292579A (en) * | 2016-08-08 | 2017-01-04 | 西安工程大学 | The color of a kind of knowledge based automatic technology spins process quality control model building method |
| CN107766943A (en) * | 2016-08-15 | 2018-03-06 | 中国科学院软件研究所 | A kind of Knowledge Component automation exchange method under CPS environment |
| CN106325162B (en) * | 2016-09-20 | 2018-09-21 | 浙江工业大学 | A kind of embedded intelligence electromechanical device state monitoring system |
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| CN112802607B (en) * | 2021-02-07 | 2022-07-08 | 无锡慧方科技有限公司 | Medical data treatment system |
| CN113204591A (en) * | 2021-04-26 | 2021-08-03 | 武汉卓尔信息科技有限公司 | Monitoring method and system for industrial big data platform, electronic equipment and storage medium |
| CN113962549A (en) * | 2021-10-21 | 2022-01-21 | 广东电网有限责任公司 | Business process arrangement method and system based on power grid operation knowledge |
| CN115203887B (en) * | 2022-05-26 | 2023-04-07 | 中色蓝图科技股份有限公司 | Resource environment bearing capacity temporal model based on service flow engine |
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