CN110187687A - The multi-source heterogeneous data fusion method in manufacturing shop and system based on Complex event processing - Google Patents
The multi-source heterogeneous data fusion method in manufacturing shop and system based on Complex event processing Download PDFInfo
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Abstract
The invention discloses a kind of multi-source heterogeneous data fusion method in manufacturing shop based on Complex event processing and systems, the multi-source heterogeneous data of manufacturing shop are merged by the data fusion module of rule-based engine, obtain higher layer event required for the manufacturing execution system of upper layer.The system can pass through rule needed for dynamic rules editor module being customized data fusion module, and fused event information is fed back to by manufacturing execution system by event response module, relatively reliable, the purpose of valid data is provided to be reached for manufacturing execution system.
Description
Technical field
The present invention relates to the Related Research Domains of manufacturing shop intelligently managed, in particular to are a kind of Complex event processings
The multi-source heterogeneous data fusion method in manufacturing shop and system, and in particular to manufacturing shop multi-source heterogeneous data perception and
Fusion method.
Background technique
During intelligence manufacture is realized, typical resource is to be converted at smart object, the integrated information communication technology and
Existing manufacturing technology reaches effective integration data and decision is the main purpose of intelligence manufacture, however in intelligence manufacture development process
It is middle to there are problems that the real-time acquisition of data and telecoms gap (horizontal and vertical dimension), the development of technology of Internet of things be solved effectively
Certainly real-time data acquisition problem, Complex event processing (CEP) are the good methods for solving telecoms gap.
Chinese patent CN201811401710.X discloses a kind of information system performance based on multi-source heterogeneous data fusion
Stereoscopic monitoring method, comprising: (1) acquire the performance indicator monitoring data of information system；(2) the multi-source heterogeneous index number that will acquire
According to progress Data Fusion；(3) achievement data after fusion treatment is detected into each property by information system Evaluating Models
The exception information of energy achievement data, and failure root is carried out because of positioning to exception information；(4) to the subsequent time data value of each index
It makes prediction, the performance situation of sensed in advance system；(5) by fault message access warning platform and unified formatting processing, so
Similar excavation is carried out to warning information by association mining strategy afterwards, merges and compresses, finally sends compressed warning information
It is handled to related personnel.The patent by diversification information system performance data collection platform acquire information system different type and
The performance indicator data of different dimensions, realize multi-faceted real-time monitoring.Data fusion is carried out to collected multi-source heterogeneous data
Processing unifies formatting processing, missing values, the detection of exceptional value and processing, data desensitization and storage processing including data, to protect
Hinder subsequent effective data processing and result precision provides support.After obtaining valid data, pass through information system performance evaluation mould
The exception information of the automatic detection performance achievement data of type simultaneously it is carried out root because positioning, then by doubtful because fault message submit
To intelligent alarm platform, relevant treatment personnel are sent to after merging compression to fault message by alarm platform.Simultaneously to each
The subsequent time data value of performance indicator is predicted, thus sensed in advance performance situation.Acquired by the multi-faceted data of early period,
Multi-source heterogeneous data fusion, to the later period data exception detection, root because positioning, intelligent alarm and performance situation sense in advance
To know, whole flow process constructs comprehensive, profound information system stereoscopic monitoring system, and monitoring range is wider, better effect,
It is suitable for the various information system performance monitoring demands of different application scene under current big data environment.
Data fusion method focuses primarily upon the control fusion of the signal datas such as sensor, and manufacturing shop is in production management
In the process, there is the perception and processing lacked for workshop event.Complex event processing techniques can be very good to solve workshop life
It produces in management process, the event of generation is simultaneously handled as interested event in manufacturing execution system.Complex event processing techniques,
Through expanding extensive research, including financial air control, medical treatment & health, traffic information processing, Internet of Things etc. in every field.These grind
Study carefully at present also in developing stage, with the proposition of intelligence manufacture concept, complex event processing techniques are applied to manufacturing shop system
The idea of system is also gradually increasing.Complex event processing techniques, which will be, solves manufacturing shop bottom to high-rise event handling
Effective ways.
Summary of the invention
To solve the event perception generated in manufacturing shop production and management process and effectively by bottom Events Fusion
For higher layer event, and by higher layer event data feedback to manufacture system the problem of.The present invention provides one kind to be based on complicated event
The multi-source heterogeneous data fusion method in the manufacturing shop of processing technique and system, purpose are intended to the multi-source heterogeneous number in fusion treatment workshop
Effective decision event and corresponding data are provided according to for manufacturing execution system.
To achieve the above object, the present invention is based on the multi-source heterogeneous data fusion system in the manufacturing shop of Complex event processing,
The system includes workshop event perception module, data fusion module, dynamic rules editor module, event response module, in which:
Workshop event perception module for perceiving the multi-Source Events in workshop, and is supplied to the thing that data fusion module unifies format
Part information；
Data fusion module for the multi-Source Events in workshop to be fused to higher layer event by Complex event processing, and provides use
In the rule base of Complex event processing；
Dynamic rules editor module carries out custom rule editor according to manufacturing process demand for workshop skilled worker, for number
Rule base is provided according to Fusion Module；
Event response module executes system for receiving the higher layer event generated by data fusion module and anomalous event and manufacture
The event of system, and higher layer event and anomalous event are fed back into manufacturing execution system, the event of manufacturing execution system is fed back to
Workshop event perception module.
Further, the system also includes workshop multi-Source Events generation modules, in heterogeneous device operational process in workshop
Generate multi-Source Events relevant to manufacturing shop production, operational process.
Further, the multi-Source Events include mechanical floor event, shop layer event, factory layer event.
Further, the mechanical floor event includes the event generated in device controller, Sensor Events；Shop layer event
Event, the logistics event of equipment generation including workshop；Factory layer event includes system call event, scheduled production event.
Further, the workshop multi-Source Events generation module includes numerically-controlled machine tool, mobile intelligent terminal, industrial robot.
Further, the workshop event perception module is defined by data prediction, event to perceive the multi-source thing in workshop
Part:
(1) by workshop data acquisition protocols by the event acquisition of various manufacturing recourses come, pass through data prediction function will
Interested workshop event filtering screening；
(2) event is by being defined as unified event format after data prediction by event, and the format of event is object and right
Attribute the expression-form EventCategory:EventID, EventAttribute, EventTime of elephant.
Further, the rule in the rule base includes rule file, statement, rules properties, condition, movement, operator,
Rule is split and is saved in rule base by the system, can be spliced according to the structure of rule when system is using rule
Completely it is supplied to regulation engine use.
Implement the multi-source heterogeneous data fusion method in the manufacturing shop based on Complex event processing of above system, specifically:
S1: it is generated in the heterogeneous device operational process in the multi-Source Events generation module of workshop relevant to manufacturing shop business procedure
Multi-Source Events；
S2: multi-Source Events caused by the heterogeneous device of workshop are pre-processed by workshop event perception module, by pre-processing it
After uninterested, duplicate event is removed；
S3: the event after definition pretreatment is unified format, is supplied to subsequent data fusion module and carries out data fusion；
S4: the event that workshop event perception module provides is stored temporarily among Installed System Memory by data fusion module, further according to
Rule set required for provided event set selects；
S5: triggering corresponding rule set using event sets, and by rule match and agenda come the principle of optimality trigger when
Between, reach efficient rule and execute, generates higher layer event, obtain data fusion result；
S6: being saved data fusion result by regular execution method, and push to event response module, is event response module
Data source is provided；
S7: by event response module real-time response, higher layer event is supplied to manufacturing execution system；
S8: manufacturing shop skilled worker is dynamically compiled according to the change of Workshop Production task by dynamic rules editor module in time
It collects, update meets the business rule currently manufactured.
Further, in the S7, the event that manufacturing execution system generates can also be supplied to by simultaneous events respond module
Event perception module；
Further, in the S7, specific steps are as follows:
(1) system has merged the multi-source heterogeneous data in manufacturing shop by complex event processing techniques, the higher layer event of generation according to
The classification of event is different, by event response module feedback to upper layer manufacturing execution system or mobile intelligent terminal system；
When manufacturing generation anomalous event in production process, fusion treatment is carried out by data fusion module and generates anomalous event,
At this moment anomalous event can be pushed to manufacture by event response module and executed by event response module according to the classification of anomalous event
System or mobile intelligent terminal system.
(2) when upper-level system generates event, event response module responds upper-level system event, and trigger event is perceived
The processing and definition of module progress event.
A kind of multi-source heterogeneous data fusion method in manufacturing shop based on Complex event processing disclosed by the invention and system
It is had the advantage that compared to current technology.
(1) present invention employs the multi-source heterogeneous data fusion method in manufacturing shop based on complex event processing techniques, it is
The multi-source heterogeneous data fusion generated during the production run of manufacturing shop provides a kind of new thinking, can be effectively solved
Since what various businesses event generated responds the problem with response inaccuracy not in time in manufacturing shop.
(2) rule-based engine develop meet flexible manufacturing system can dynamic editing and updating rule data fusion system
System, adapts to the flexibility management of manufacturing shop multi-work piece and Alternative, and for scheduled production, the scheduling etc. of manufacturing execution system, provide can
The data leaned on are supported.
(3) the multi-source heterogeneous data fusion method in the manufacturing shop based on complex event processing techniques that the present invention takes, greatly
Data acquisition and fusion efficiencies between a variety of heterogeneous devices in manufacturing shop are improved greatly, are changed and are made a report on letter by traditional artificial originally
The event feedback system of breath, improves event response efficiency.
Detailed description of the invention
Fig. 1 is the abstraction hierarchy figure of manufacturing enterprise's event；
Fig. 2 is the mechanism choice of the Complex event processing of rule-based engine；
Fig. 3 is rule template figure；
Fig. 4 is that rule dynamic edits embodiment figure；
Fig. 5 is workpiece logistics rule example；
Fig. 6 is the data fusion method figure based on Complex event processing；
Fig. 7 is the physical state figure of manufacturing shop workpiece.
Specific embodiment
In the following, being made a more thorough explanation with reference to attached drawing to the present invention, shown in the drawings of exemplary implementation of the invention
Example.However, the present invention can be presented as a variety of different forms, it is not construed as the exemplary implementation for being confined to describe here
Example.And these embodiments are to provide, to keep the present invention full and complete, and it will fully convey the scope of the invention to this
The those of ordinary skill in field.
The spatially relative terms such as "upper", "lower" " left side " " right side " can be used herein for ease of explanation, for saying
Relationship of the elements or features relative to another elements or features shown in bright figure.It should be understood that in addition in figure
Except the orientation shown, spatial terminology is intended to include the different direction of device in use or operation.For example, if in figure
Device is squeezed, and is stated as being located at other elements or the element of feature "lower" will be located into other elements or feature "upper".Cause
This, exemplary term "lower" may include both upper and lower orientation.Device, which can be positioned in other ways, (to be rotated by 90 ° or is located at
Other orientation), it can be interpreted accordingly used herein of the opposite explanation in space.
As shown in Figures 1 to 7, the present invention provides a kind of multi-source heterogeneous data in the manufacturing shop based on Complex event processing
Fusion method and system, the essence of method are by the data fusion module of rule-based engine by the multi-source heterogeneous of manufacturing shop
Data are merged, and higher layer event required for the manufacturing execution system of upper layer is obtained.The system can be compiled by dynamic rules
Rule needed for collecting being customized of module data fusion module, and it is by event response module that fused event information is anti-
It feeds manufacturing execution system, so that being reached for manufacturing execution system provides relatively reliable, the purpose of valid data.
The present invention provides a kind of multi-source heterogeneous data fusion method in manufacturing shop based on Complex event processing and system,
It include: workshop multi-Source Events generation module, workshop event perception module, data fusion module, dynamic rules editor module, event
Respond module.
Workshop multi-Source Events generation module, for providing multi-Source Events for data fusion system, the wherein generation body of event
For the multi-source heterogeneous equipment, including lathe, mobile intelligent terminal, industrial robot etc. in workshop.
Workshop event perception module for perceiving the multi-Source Events in workshop, and is supplied to data fusion module and unifies format
Event.The event that event perception module is generated by acquisition lathe and the field resources such as mobile intelligent terminal and industrial robot
(i.e. discrete manufaturing data, such as: the main shaft start and stop of lathe, the judgement and decision data etc. that terminal worker submits) perceives workshop
Multi-Source Events.
Data fusion module for the multi-Source Events in workshop to be fused to higher layer event by Complex event processing, and mentions
For the rule base for Complex event processing.Complex event processing is that system passes through low layer (simple) event of multi-source centainly
Rule is converted into high-rise (complexity) event, and rule therein is the expertise of enterprise's manufacturing operations process, passes through domain expert
Rule file needed for defining Complex event processing integrates as rule base.
Event response module is held for receiving the higher layer event generated by data fusion module and anomalous event and manufacture
The event of row system, and higher layer event and anomalous event are fed back into manufacturing execution system, the event of manufacturing execution system is anti-
It feeds workshop event perception module.
Dynamic rules editor module carries out custom rule editor according to manufacturing process demand for workshop skilled worker,
Rule base is provided for data fusion module.The present invention carries out the complicated event of workshop multi-Source Events using regulation engine Drools
Processing, independently realizes the regular dynamic editting function of regulation engine, by the way that rule is split disparate modules, and by different moulds
Manufacturing recourses entity and its attribute needed for block are saved in database, and domain expert between editor's association different entities by closing
System and attribute value come definition rule and create-rule file.
The present invention is to reach the multi-source heterogeneous data fusion method in the above-mentioned manufacturing shop based on Complex event processing and be
The purpose of system, the technical scheme comprises the following steps for use:
S1: the workshops isomery such as numerically-controlled machine tool, mobile intelligent terminal, industrial robot in the multi-Source Events generation module of workshop is set
It is standby, multi-Source Events relevant to business procedures such as manufacturing shop production, operations can be generated in these heterogeneous device operational process.
S2: it in order to make the multi-Source Events generated in step S1, can be needed with Workshop Production, operation business tight association
Multi-Source Events caused by the heterogeneous device of workshop are pre-processed by workshop event perception module, by that will not feel after pretreatment
Interest, duplicate event is removed.Event after definition pretreatment is unified format, is supplied to subsequent data fusion mould
Block carries out data fusion.
S3: the event that workshop event perception module provides first is stored temporarily among Installed System Memory by data fusion module,
Secondly, rule set required for being selected according to provided event set.Wherein, the event system perceived can be sentenced by pretreatment
Disconnected the affiliated type of event (such as belonging to machine tooling event or workpiece logistics event), then system according to the type of event come
Automatically different rule sets is loaded to be handled.Then, corresponding rule set is triggered using event sets, and passes through rule
Matching and agenda carry out the time of principle of optimality triggering, reach efficient rule and execute, generate higher layer event, that is, data fusion result.
Data fusion result is saved eventually by regular execution method, and pushes to event response module, is mentioned for event response module
For data source.
S4: the higher layer event of generation, that is, fused data, it will be high by real-time response method by event response module
Layer event is supplied to upper layer manufacturing execution system.The thing that simultaneous events respond module can also generate upper layer manufacturing execution system
Part is supplied to event perception module.
S5: dynamic rules editor module main purpose is to provide manufacturing shop skilled worker's dynamic editing and updating rule, root
According to the change of Workshop Production task, timely update the business rule for meeting and currently manufacturing.And it is supplied to step S3 data and melts
Mold the rule base of block.
Specific implementation method is elaborated below with reference to Fig. 1 to Fig. 7.
S1: the present invention is the fusion of the multi-source heterogeneous data in manufacturing shop based on complex event processing techniques, so first
Which the event for needing to define manufacturing shop has, which type of distribution form is.
Fig. 1 is exactly to define a kind of manufacturing enterprise's event abstraction hierarchy figure, and the event of a manufacturing enterprise is broadly divided into three
Layer: the bottom is mechanical floor, and the event for mainly including has the event generated in controller, Sensor Events etc..Middle layer is vehicle
Interbed, event and logistics event that the event for mainly including has the equipment in workshop to generate etc..Top is factory layer, mainly
The event for including has the events such as scheduling, scheduled production, and event on the middle and senior level is that the event of complicated event low layer is simple event.
Based on event category described in Fig. 1, the distribution of workshop event and the class of level and event can be clearly understood
Which type has.
S2: the fusion of data multi-source heterogeneous for manufacturing shop is needed event caused by a variety of heterogeneous devices in workshop
Acquisition comes up, and is then merged by complex event processing techniques.The event of low layer is converted by rule match high-rise
Event, step S3 below will do it detailed rule match description.
S2.1: as shown in Figure 2, the multi-source heterogeneous event generation module in workshop includes the typical manufacturing recourses in workshop, such as:
Numerically-controlled machine tool, mobile intelligent terminal, industrial robot etc..These equipment ends can generate various events in the process of production and processing,
Switching on and shutting down, main shaft start and stop such as numerically-controlled machine tool, the feedback event etc. of worker in mobile intelligent terminal.
S2.2: workshop event perception module is as shown in Fig. 2, perceive plant site event by event perception module.Mainly
It is divided into data prediction, event defines two steps:
(1) by workshop data acquisition protocols by the event acquisition of various manufacturing recourses come, pass through data prediction function will
Interested workshop event filtering comes out.Such as: pass through the DataProRD method in the numerically-controlled machine tool data CncData of definition
It removes the repeated data item that numerically-controlled machine tool generates in real time, the event information in numerically-controlled machine tool is filtered out.
(2) event by being defined as unified event format, the format of event by event after data prediction are as follows:
EventCategory(EventID, EventAttribute, EventTime)。
Each event is the object of a certain activation record in system, event flag activity, an event may be with other
There is association between event, an event includes tripartite face: form, meaning, relativity.
Form: the form of event is an object, it is made of specific attribute and data.
Meaning: event flag an activity, therefore corresponding activity is known as to the meaning of event.The shape of one event
It is typically included in formula and describes the movable data that the event is indicated.
Relativity: an event can pass through time, cause and effect and set relation and other event correlations.
The corresponding entire expression formula of event format is the concrete embodiment of the form, meaning, relativity of event, is contained
EventCategory, EventID, EventAttribute, EventTime etc., EventCategory represent movable right
As and classification, that is, workshop of event in there are different classes of event, event id table shows the unique identifier of event,
EventAttribute indicates that the attribute of event includes the value of title (AttributeName) and attribute of attribute
(AttributeValue), EventTime indicates the time of event.
S3: for the generation of workshop multi-Source Events, using complex event processing techniques and pass through data fusion module for vehicle
Between event perception module definition and the event of perception merged, generate higher layer event and fusion results simultaneously pushed into event response
Module.Specific implementation step includes:
S3.1: as shown in fig. 6, the Complex event processing method by rule-based engine carries out manufacturing shop multisource data fusion
Include 7 steps:
(1) according to the event of perception, system is according to the entity object RuleExecutionObject and scene Scence of event
(i.e. processing type or Logistics Types that the type of event is workpiece) judges the available rule that whether has of current system, touching
It carrys out the coffin upon burial and holds up distributor.As described the logistics logic of workpiece between stations in Fig. 7, when workpiece reaches process inspection station
When, judged according to the current data of workpiece for logistics event, then triggers regulation engine distributor.
(2) it is logistics class that engine distributor, which loads available rule using findBaseRuleListByScene () method,
Type rule.
(3) regular entity is to trigger Rule Builder by information such as condition, the movements of rule.
It (4) is the workpiece generated by compileRule () method create-rule expression formula in Rule Builder, such as Fig. 5
One of logistics rule.
(5) by regular expression (i.e. rule set) and entity utilize excuteRuleEngine () and
CompileRuleAndExcuteRuleEngine () two methods trigger regulation engine.
(6) respective rule in step 5 is executed, and the rule conflict processing strategie being related in itself by rule is (in step
4.1 and table 1 in explain in detail rule conflict processing method) method optimizes implementing result.
(7) regulation engine implementing result, that is, data fusion result is realized into different data fusion knot by ActionImpl
Fruit distribution and push, such as Fig. 5, regular implementing result are as follows: pass through message memory adding method " _ result.getMap ()
.put();" addition " workpiece be examined station receive " message, with " $ workpiece.setWorkpiece_
currentloction($processentity_num);" change the current location information of workpiece, with " $
Workpiece.setWorkpiece_receivestate (" reception ");" change workpiece reception state, with " $
action.createEvent($fact,_result);" generate the logistics event (i.e. message) of workpiece and be pushed to system.
S3.2: the rule that the Rule Builder described in S3.1 generates is the rule that dynamic rules editor generates, described
Regular form of presentation template as shown in figure 3, including Package, Import, Declare, Rule, When, Then, End seven
It is grouped as.Wherein Package is physical location where rule；Import is method or object etc. required for rule；
Declare is rule states part, comprising: can define global variable (global), function (function), statement
(declare) etc.；Rule is the title that rule name part can define rule；<attribute>Be rule attribute be optional
, indicate how rule should run；When and<Condition>The condition part for being rule includes between event and event
Operator；Then and<Action>The action part of rule, meets corresponding condition by the event of condition part and executed later
The method of action part；End is regular terminating symbol.
Rule is divided into 6 parts as shown in Figure 4, comprising: rule file (RuleFile) is stated (Declare), regular
Attribute (RuleAttribute), condition (Condition) act (Action), six parts of operator (Operator).This
Kind mode is more advantageous to the dynamic editor of rule, is also suitble to understanding and editor of the non-technical personnel to rule.System tears rule open
Divide and be saved in rule base, can splice according to the structure of rule when system is using rule and complete be supplied to rule and draw
Hold up use.
S4: the regular dynamic editor as described in above-mentioned steps S3.2 is dynamic rules editor module implementation as shown in Figure 2
It completes.
S4.1 dynamic rules editor module first includes the seven parts definition in above-mentioned steps S3.2, and user needs to pass through rule
Seven parts that then editing interface includes to rule are defined, and wherein rules properties part passes through for handling rule conflict needs
It selects the attribute defined to be configured, commonly uses Attribute expression and meaning is as shown in table 1.
1 common rule attribute of table
| Attribute | Property Name | Meaning |
| salience | Priority | For the priority of rule execution is arranged, the value of salience attribute is a number, and number is bigger, and execution priority is higher |
| no-loop | Whether repeat | Whether rule is allowed to be performed a plurality of times, is worth for Boolean type, default is false, as long as that is, current rule meets condition, can be executed infinitely |
| date-effective | Entry-into-force time | The entry-into-force time of rule is set, and when present system time >=date-effective can just trigger execution |
| date-expires | Out-of-service time | The out-of-service time of rule is set, it is exactly the opposite with the entry-into-force time |
| lock-on-active | Exactly-once | When for true, current rule can be only executed once |
| activation-group | Rule grouping | Rule is grouped, the regular mutual exclusion in same group |
| agenda-group | Agenda grouping | Rule in the agenda-group that trigger event is specified can be just matched |
| enabled | Whether can be used | It indicates whether the rule can be used, is worth for Boolean type, default is true |
Rule body conditional<Condition>And action part<Action>Rule by configuring corresponding event and event
Corresponding entity attribute and method.It can be associated by operator between built-in attribute between event, be as shown in table 2
Common operator.
Table 2 often uses operator
| Expression formula | Title | Meaning |
| ！ | NOT | It is non- |
| && | AND | With |
| || | OR | Or |
| +、- | Additive | Plus-minus |
| <、>、<=、>=、!= | Relational | Relationship |
The rule editing is the composition of matter according to involved in the process of manufacture of manufacturing shop, is illustrated in figure 7 system
The physical state logic relation picture of workshop workpiece is made, it expresses the state that workpiece is triggered in workshop by various events.According to
Workpiece each station in workshop real-time information collection and judge to obtain position of the workpiece in workshop according to its logical relation and believe
Breath and current state.Logistics logic rules of the workpiece in workshop can be edited out according to relational graph.
S5: event response module as shown in Figure 2 is used to the higher layer event that feedback data Fusion Module generates, and responds upper layer
The event information of manufacturing execution system.
S5.1: by after above-mentioned steps, it is multi-source heterogeneous that system by complex event processing techniques has merged manufacturing shop
The higher layer event of data, generation is different according to the classification of event, needs through event response module feedback as shown in Figure 2 to upper
Layer manufacturing execution system or mobile intelligent terminal system.Such as: being judged in system by cncMachine* () correlation technique
The relevant event such as machine tooling, preparation, pushes to manufacturing execution system end.
When manufacturing generation anomalous event in production process, it can generally also pass through data fusion module and carry out fusion treatment life
At anomalous event, at this moment event response module can be pushed away anomalous event by event response module according to the classification of anomalous event
It send to manufacturing execution system or mobile intelligent terminal system.
S5.2: meanwhile, when upper-level system generates event, need event response module to respond upper-level system event, and will
The processing and definition of trigger event sensing module progress event.Such as: when the work pieces process schedule file of upper-level system is sent out in system
When raw change, event response module perceives scheduling altering event by initialSch () method, and trigger event perceives mould
Block carries out event handling.
Through the above steps, the multi-source heterogeneous data fusion method in the manufacturing shop of the invention based on Complex event processing and
System may be implemented, and be able to achieve the processing of the multi-Source Events generated between heterogeneous device in manufacturing shop, improve manufacturing shop
Event response efficiency and efficiency, for manufacturing execution system provide effectively accurately data support.
Claims (10)
1. the multi-source heterogeneous data fusion system in manufacturing shop based on Complex event processing, which is characterized in that the system includes vehicle
Between event perception module, data fusion module, dynamic rules editor module, event response module, in which:
Workshop event perception module for perceiving the multi-Source Events in workshop, and is supplied to the thing that data fusion module unifies format
Part information；
Data fusion module for the multi-Source Events in workshop to be fused to higher layer event by Complex event processing, and provides use
In the rule base of Complex event processing；
Dynamic rules editor module carries out custom rule editor according to manufacturing process demand for workshop skilled worker, for number
Rule base is provided according to Fusion Module；
Event response module executes system for receiving the higher layer event generated by data fusion module and anomalous event and manufacture
The event of system, and higher layer event and anomalous event are fed back into manufacturing execution system, the event of manufacturing execution system is fed back to
Workshop event perception module.
2. the multi-source heterogeneous data fusion system in manufacturing shop as described in claim 1 based on Complex event processing, feature
It is, is to generate and manufacture in heterogeneous device operational process in workshop the system also includes workshop multi-Source Events generation module
The relevant multi-Source Events of Workshop Production, operational process.
3. the multi-source heterogeneous data fusion system in manufacturing shop as described in claim 1 based on Complex event processing, feature
It is, the multi-Source Events include mechanical floor event, shop layer event, factory layer event.
4. the multi-source heterogeneous data fusion system in manufacturing shop as described in claim 1 based on Complex event processing, feature
It is, the mechanical floor event includes the event generated in device controller, Sensor Events；Shop layer event includes workshop
Event, the logistics event of equipment generation；Factory layer event includes system call time, scheduled production event.
5. the multi-source heterogeneous data fusion system in manufacturing shop as claimed in claim 2 based on Complex event processing, feature
It is, the workshop multi-Source Events generation module includes numerically-controlled machine tool, mobile intelligent terminal, industrial robot.
6. the multi-source heterogeneous data fusion system in manufacturing shop as described in claim 1 based on Complex event processing, feature
It is, the workshop event perception module defines to perceive the multi-Source Events in workshop by data prediction, event:
By data prediction function it will will feel emerging on the event acquisition of various manufacturing recourses by workshop data acquisition protocols
The workshop event filtering screening of interest；
By the way that event to be defined as to unified event format after data prediction, the format of event is event
EventCategory:EventID, EventAttribute, EventTime.
7. the multi-source heterogeneous data fusion system in manufacturing shop as described in claim 1 based on Complex event processing, feature
It is, the rule in the rule base includes rule file, statement, rules properties, condition, movement, operator, and the system will
Rule splits and is saved in rule base, can be spliced according to the structure of rule when system is using rule and is completely supplied to
Regulation engine uses.
8. the multi-source heterogeneous data fusion method in manufacturing shop based on Complex event processing, which is characterized in that this method specifically:
S1: it is generated in the heterogeneous device operational process in the multi-Source Events generation module of workshop relevant to manufacturing shop business procedure
Multi-Source Events；
S2: multi-Source Events caused by the heterogeneous device of workshop are pre-processed by workshop event perception module, by pre-processing it
After uninterested, duplicate event is removed；
S3: the event after definition pretreatment is unified format, is supplied to subsequent data fusion module and carries out data fusion；
S4: the event that workshop event perception module provides is stored temporarily among Installed System Memory by data fusion module, further according to
Rule set required for provided event set selects；
S5: triggering corresponding rule set using event sets, and by rule match and agenda come the principle of optimality trigger when
Between, reach efficient rule and execute, generates higher layer event, obtain data fusion result；
S6: being saved data fusion result by regular execution method, and push to event response module, is event response module
Data source is provided；
S7: by event response module real-time response, higher layer event is supplied to manufacturing execution system；
S8: manufacturing shop skilled worker is dynamically compiled according to the change of Workshop Production task by dynamic rules editor module in time
It collects, update meets the business rule currently manufactured.
9. the multi-source heterogeneous data fusion method in manufacturing shop as claimed in claim 8 based on Complex event processing, feature
It is, in the S7, the event that manufacturing execution system generates can also be supplied to event perception mould by simultaneous events respond module
Block.
10. the multi-source heterogeneous data fusion method in manufacturing shop as claimed in claim 8 based on Complex event processing, feature
It is, in the S7, specific steps are as follows:
(1) system has merged the multi-source heterogeneous data in manufacturing shop by complex event processing techniques, the higher layer event of generation according to
The classification of event is different, by event response module feedback to upper layer manufacturing execution system or mobile intelligent terminal system；
When manufacturing generation anomalous event in production process, fusion treatment is carried out by data fusion module and generates anomalous event,
At this moment anomalous event can be pushed to manufacture by event response module and executed by event response module according to the classification of anomalous event
System or mobile intelligent terminal system
(2) when upper-level system generates event, event response module responds upper-level system event, and by trigger event sensing module
The processing and definition of carry out event.
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