CN105809302A - Production line scheduling method and system based on CEP inference engine - Google Patents
Production line scheduling method and system based on CEP inference engine Download PDFInfo
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Abstract
The present invention relates to a production line scheduling method based on a CEP inference engine. The method comprises the steps that: a CEP module receives a user order and inquires a service library, carries out dynamic allocation of a production task according to an executable operation list as a feedback, forms an event flow by a dynamic allocation result, and sends the event flow to an IRIS module; the IRIS module matches the event flow and a rule library with prior expert knowledge, obtains a preset flow, and sends the preset flow to a scene generation module; the scene generation module carries out semantic modeling and outputs the preset flow to a service execution module; and the service execution module optimizes and executes the preset flow through finding a semantic database according to the performance index of a user. The invention also relates to a production line scheduling system which comprises the CEP module, the IRIS module, the scene generation module and the service execution module. The method and the system can respond to the change of a customer demand in real time and allows a product plan to deal with the production requirements of industry 4.0 small quantity, customization and individuation in a production process, the flexibility of the production line is increased, and the production efficiency is maximized.
Description
Technical field
The present invention relates to a kind of product line production scheduling method and system based on CEP inference engine, belong to intelligence manufacture control field.
Background technology
Along with the fast development of science and technology and improving constantly of customer demand, product is more and more personalized, complexity is more and more higher, date of delivery is shorter and shorter, simultaneously that the performance requirement of product is also more and more stricter, production model develops to multi items, small lot direction, and management and the manufacturing to enterprise are proposed higher requirement.In recent decades, the feature of the manufacturing has occurred that significant change, and most important of which change is the automatization of production process, informationization and the small quantities of quantization produced.Customization produces, the new Manufacturing Models such as order-driven market formula production increase the difficulty of production scheduling, in the fierce market competition, the efficient stable in order to ensure production system runs and obtains maximum economic benefit, originally simple, local, conventional productions control mode and only oneself warp of way to manage by rule of thumb can not meet the requirement of enterprise, therefore a kind of common concern that disclosure satisfy that event-driven the flexible production mechanism responded in real time receive industry.
ComplexEventProcessing (CEP) is a kind of emerging technology based on flow of event, system data is regarded as different types of event by it, by the relation between analysis event, set up different event relation sequence libraries, utilize the technology such as filtration, association, polymerization, final by simple event generation advanced event or business procedure, more in ERP and some business systems.In Complex event processing, data are continually changing, and " operation " is " static state ".Complex event processing has possessed to be analyzed high-speed data-flow and differentiates the ability of critical event, although the discrimination process to these events is complicated, but result is priceless.Complex event processing can help enterprise to see clearly turn of the market in time all sidedly, reduces risk and improves the efficiency of decision-making.
Therefore, complex event processing techniques CEP is introduced industrial intelligent and manufactures field it may be said that be innovation, be also the only way of following development of manufacturing.By CEP technology, produce line can the change of task, the change of resource and the impact of event of failure in real-time response production process, thus dynamically distributing task, it is achieved flexible production, make the utilization rate of resource and interests reach to maximize.
Summary of the invention
The technical problem to be solved is in that to produce line procedure, inflexible problem for traditional industry.Propose a kind of based on semantization modeling, the change of line underlying device state will be produced abstract in event notice, then novel product line dispatching method and the system of complicated event reasoning and expert reasoning are carried out, novel line dispatching method and the system of producing real-time response can produce the change of line production status, can at utmost improve resource utilization, improve industrial efficiency.
For solving above-mentioned technical problem, the technical solution used in the present invention is: a kind of product line dispatching method based on CEP inference engine, comprises the following steps:
CEP module receives user's order and inquires about service library, carries out the dynamic distribution of production task according to the performed operating list of feedback, dynamic allocation result is formed flow of event and sends to IRIS module；
Flow of event is mated by IRIS module with the rule base with expert's priori, obtains presetting flow process and sends to sight generation module；
Scenarios generation module carries out semantization modeling, and by default flow process output to service execution module；
The service execution module performance indications according to user, are optimized by default flow process by searching semantic base and perform.
The described user's order that receives also inquires about service library, carries out the dynamic distribution of production task according to the performed operating list of feedback, dynamic allocation result is formed flow of event transmission and comprises the following steps to IRIS module:
1) user's order is disassembled into the atomic operation of underlying device；Inquiry service library obtains to complete the state of the same class underlying device of a certain atomic operation and can performing operation, and has been determined to the underlying device list of this atomic operation and the performed operating list of each underlying device according to Query Result；
2) according to performing the underlying device corresponding atomic operation of distribution that operating list is every class free time；The atomic operation of same purposes is merged into intermediary data stream by the different purposes according to atomic operation, intermediary data stream is merged again and iteration, sends to IRIS module until generating the one group of flow of event formed by the set of atomic operation；
3) when the event receiving underlying device fault notifies, service library is revised the state of this equipment in underlying device list, and this equipment correspondence can perform operating list, returns step 2).
Described carry out mating comprising the following steps with the rule base with expert's priori by flow of event:
Registered events stream；Expert's priori is resolved to Expert Rules storehouse by data logging；Some restrictive conditions that each atomic operation in flow of event provides according to Expert Rules storehouse are screened, obtains unique corresponding atomic operation, and using atomic operation set as default flow process.
A kind of product line dispatching patcher based on CEP inference engine, including:
CEP module: be used for receiving user's order and inquiring about service library, carries out the dynamic distribution of production task, dynamic allocation result is formed flow of event and sends to IRIS module according to the performed operating list of feedback；
IRIS module: for being mated with the rule base with expert's priori by flow of event, obtains presetting flow process and sends to sight generation module；
Scenarios generation module: be used for carrying out semantization modeling, and by default flow process output to service execution module；
Service execution module: for the performance indications according to user, is optimized by default flow process by searching semantic base and performs.
Described CEP module is used for:
1) user's order is disassembled into the atomic operation of underlying device；Inquiry service library obtains to complete the state of the same class underlying device of a certain atomic operation and can performing operation, and has been determined to the underlying device list of this atomic operation and the performed operating list of each underlying device according to Query Result；
2) according to performing the underlying device corresponding atomic operation of distribution that operating list is every class free time；The atomic operation of same purposes is merged into intermediary data stream by the different purposes according to atomic operation, intermediary data stream is merged again and iteration, sends to IRIS module until generating the one group of flow of event formed by the set of atomic operation；
3) when the event receiving underlying device fault notifies, service library is revised the state of this equipment in underlying device list, and this equipment correspondence can perform operating list, returns step 2).
Described IRIS module includes:
Registered events stream；Expert's priori is resolved to Expert Rules storehouse by data logging；Some restrictive conditions that each atomic operation in flow of event provides according to Expert Rules storehouse are screened, obtains unique corresponding atomic operation, and using atomic operation set as default flow process
Beneficial effects of the present invention and advantage be:
1, this system can the change of customer in response demand in real time, it is allowed to the change of the production schedule in production process, tackles industrial 4.0 small lots, customization, personalized Production requirement better, adds the motility producing line, be beneficial to and promote the use of.
2, constantly current task distribution is carried out tuning according to the available degree producing material, make production efficiency reach to maximize.
3, the present invention adopts complex event processing techniques to collaborate, and reasoning intermediate object program is constantly clustered, and improves production efficiency.
4, the Services Composition module of the present invention can carry out the real-time optimization that operation flow carries out little scope according to the performance indications of user, sight.
5, the production process of Services Composition module permission product line carrys out the adjustment to performance indications according to demand, thus adjusting equipment state, parameter in time.Difference according to performance indications, it is possible to the production efficiency producing line is improved, improves the quality producing article or reduce energy consumption.
6, can ensure that the workflow of Services Composition meets actual services workflow within the specific limits based on the major architectural of default flow process, so can reduce the simple unstability relying on self adaptation Services Composition to exist.
Accompanying drawing explanation
Fig. 1 is the integrated stand composition of invention software system.
Fig. 2 is the software flow pattern of CEP module in the present invention.
Fig. 3 is the software flow pattern of IRIS module in the present invention.
Fig. 4 is the Services Composition module rack composition of the present invention.
Fig. 5 is the flow chart during scenarios generation module execution of the present invention.
Fig. 6 is the flow chart during service execution module execution of the present invention.
Detailed description of the invention
For making the purpose of the present invention, technical scheme and advantage clearly, clearly, referring to accompanying drawing examples, the present invention is described in more detail.
The present invention comprises the following steps:
1) user's order is disassembled into the atomic operation of underlying device；Inquiry service library obtains to complete the state of the same class underlying device of a certain atomic operation and can performing operation, and has been determined to the underlying device list of this atomic operation and the performed operating list of each underlying device according to Query Result；Corresponding atomic operation is distributed according to the underlying device that operating list is every class free time can be performed；
2) according to the different purposes of atomic operation, the atomic operation of same purposes being merged into intermediary data stream, intermediary data stream is merged again and iteration, sending to IRIS module until generating the one group of flow of event formed by the set of atomic operation；
3) when the event receiving underlying device fault notifies, service library is revised the state of this equipment in underlying device list, and this equipment correspondence can perform operating list, returns step 2).Flow of event is mated after receiving the flow of event that CEP module sends by IRIS module with the rule base with expert's priori, obtains presetting flow process and sends to producing line device controller, or be optimized by Services Composition module, obtains final flow process and perform.
Referring to Fig. 1, this is the integrated stand composition producing line dispatching patcher, is divided into service abstraction module, CEP module, IRIS module, scenarios generation module, service execution module, semantic base and flow process storehouse.
Service abstraction module and service library, be responsible for producing the attribute information of all devices on line, executable operation, and the state abstraction being presently in be property value, method and state change event notice so that produce all devices on line and there is unified access interface.So can pass through the list of devices in service library and the current state of operating list query facility can be performed, which operation can invoked dynamic attribute, and the model of equipment, the static attribute information such as size.
CEP module is responsible for the analysis interflow of event and is processed, and draws preliminary flow of event.CEP module adopts Esper framework and EPL grammer to use pattern pattern to be modeled, make the flow of event that the atomic event split by user's order is formed after entering CEP module, merger calculating is carried out according to pre-set pattern, when the event drawn triggers new event after meeting certain condition, so that system stability high-efficiency operation.
IRIS module is responsible for by data logging, expert's priori is resolved to Expert Rules storehouse, by the CEP flow of event sent, mates item by item with rule base, draws final default flow process.The flow of event that CEP draws, just for one group of option of each atomic operation, will go the IRIS rule base provided to mate one by one, just can draw well-determined solution.
Referring to Fig. 2, the CEP module implementing procedure that the present invention relates to is: first initialize, and will produce the attribute of all devices on line, can perform operation and state value is registered in service library by service register module.After initialization, CEP module receives the order of user, and foreground partition shows the web interface being available for client's configuration, supporting client to carry out dragging and select, server adopts Tomcat, and Development Framework adopts SSH, foreground pattern uses danjo framework, after product line receives production task, enters CEP module.CEP module adopts the pattern pattern in Esper framework and EPL grammer, after CEP module receives production task, first production task is split, primarily determine that the production material of needs, afterwards service list in service library is inquired about, make inferences further according to the feedback of service list, call IRIS module afterwards, draw default flow process, be sent directly to product line device controller or transmission is assigned to scenarios generation module.
One embodiment of the present invention explained below, CEP module realize produce line scheduling step particularly as follows:
Step S1: the production task assigned by user's order is split into atomic operation set, initiates inquiry to service library, it is determined that each equipment on line that produces is presently in state and which operation can be called.The input of this step is the order that user assigns, and output is the query statement to service library.Such as in beer production line, the order received be the beer bottle filling medicated beer is carried out coding, work of labelling and case, after CEP module receives this fabrication order, first have to which equipment clear and definite and can complete this time production task, needing, in this scene at present, the equipment to arrive is ink jet numbering machine, price labeling and mechanical hand, and then CEP to determine that whether these stations are idle, whether can be called, then send Query Information to service library.
Step S2: receive the underlying device list of the feedback of service library and the performed operating list that each equipment is corresponding, obtained information is processed, according to rule set in advance, the flow of event of same purposes is merged, redirect reaching the flow of event of the threshold value of setting in rule.Such as in beer production line, if CEP module receives current ink jet numbering machine, price labeling and mechanical hand and all can use, production task just according to the availability that equipment in production process is current, is dynamically distributed by CEP, it is ensured that the resources of production will not be idle.If the bottle being currently needed for coding is very many, and need the bottle quantity labelled fewer, then CEP will arrange more mechanical arm and carry out coding operation.In this step, the form information of the feedback of service library module during input, output is the flow of event preliminarily formed sent to IRIS module.
Step S3: call IRIS module, mates preliminary flow of event one by one with the Expert Rules storehouse in IRIS module, draws final flow of event.In beer production line, after IRIS module obtains the flow of event that CEP module sends, can flow of event be imported in expert model, according to design parameter therein, the reasoning results is optimized, obtain final conclusion.The input of this step is the CEP flow of event tentatively inferred, and output is that final flow of event passes to CEP module.
Step S4: issue final production decision-making, calls Services Composition module and assigns production task.After receiving the order that production task completes, the state of equipment in amendment service library.Wait issuing of customer order next time.
Step S5: if some underlying device breaks down in process of production, report to the police, informs CEP module, and CEP module can re-start S2-S4 process, thus realizing real Dynamic Scheduling.
Referring to Fig. 3, the implementing procedure of the IRIS module that the present invention relates to is: first initialize, the flow of event that registration CEP module sends, priori data logging (datalog) mode that industry specialists provides is resolved to Expert Rules storehouse, registration query statement, finally use IRIS framework that flow of event is made inferences, output result is returned to CEP module.
One embodiment of the present invention explained below, what IRIS module made inferences step particularly as follows:
Step S1: initialize, revises config file, configuration querying mode, formulates industry specialists and writes industry priori, the preliminary flow of event that registration CEP module provides.
Step S2: priori expert in S1 provided uses data logging (datalog) mode to resolve to Expert Rules storehouse.
Step S3: register concrete query statement, sets threshold value, and what specify flow of event redirects direction.
Step S4: call IRIS framework and flow of event is made inferences.
Step S5: export final flow of event, feed back to CEP.
In sum, the method for the present invention produces line procedure, inflexible problem for traditional industry.Propose a kind of based on semantization modeling, the change of line underlying device state will be produced abstract in event notice, then the novel product line scheduling mechanism of complicated event reasoning and expert reasoning is carried out, novel product line dispatching patcher is capable of Dynamic Scheduling, can at utmost improve resource utilization, improve industrial efficiency.Disclosure satisfy that the industrial requirement of industrial 4.0 small lots, personalization, customization, be a kind of new production scheduling solution, be beneficial to and promote the use of.
Services Composition module includes scenarios generation module and service execution module:
Scenarios generation module semantization models, and by default flow process output to service execution module；
The service execution module performance indications according to user, are optimized by default flow process by searching semantic base and perform.
Described scenarios generation module semantization models, and the output of default flow process is comprised the following steps to service execution module:
Each service in service library is needed to take out corresponding label according to sight by semantization MBM, preserves to semantic base；
Preset process module to export the default flow process in externally input or flow process storehouse to service execution module.
Described label includes one or more of Service name and following content thereof: device class, can perform function, position, performance indications.
The described service execution module performance indications according to user, are optimized and perform to comprise the following steps by searching semantic base by default flow process:
Performance indications module receives the performance indications of user, and default flow process scenarios generation module exported sends to process optimization module；
Process optimization module obtains, according to the Service name query semantics storehouse preset in flow process, multiple semantic labels that each Service name is corresponding；Further according to the tag queries semantic base of the non-performance index of each service, obtain the multiple Service names corresponding with non-performance label；Performance indications label corresponding for the plurality of Service name is compared, and the former service preset in flow process is replaced in the service corresponding to optimum performance indications label, form new flow process；
Process execution engine performs new flow process.
Process optimization system preset by a kind of product line based on semantization, including:
Scenarios generation module: model for semantization, and by default flow process output to service execution module；
Service execution module: for the performance indications according to user, is optimized by default flow process by searching semantic base and performs.
Described scenarios generation module includes:
Semantization MBM: each service in service library needs to take out according to sight the label of correspondence, preserves to semantic base；
Preset process module: export the default flow process in externally input or flow process storehouse to service execution module.
Described label includes one or more of Service name and following content thereof: device class, can perform function, position, performance indications.
Described service execution module includes:
Performance indications module: receive the performance indications of user, and default flow process scenarios generation module exported sends to process optimization module；
Process optimization module: obtain multiple semantic labels that each Service name is corresponding according to the Service name query semantics storehouse in default flow process；Further according to the tag queries semantic base of the non-performance index of each service, obtain the multiple Service names corresponding with non-performance label；Performance indications label corresponding for the plurality of Service name is compared, and the former service preset in flow process is replaced in the service corresponding to optimum performance indications label, form new flow process；
Process execution engine: for performing new flow process.
Device service after device service abstract is carried out unified management, and it is carried out semantization modeling classifies.Then, in the process performing default service procedure, carry out the real-time suitable service that selects according to the performance indications of real-time sight and perform.
Wherein, referred to herein as service abstraction, referring to the equipment that produces on line according to the function modeling that can be provided by business is the service meeting W3C service standard, and so making to produce all of equipment on line can be called by unified mode, be arranged, and produces line thus adjusting dynamically.
Semantization modeling refers to the above-mentioned service taken out, and takes out the label meeting the fact according to business, function, static information etc..In order to distinguish different equipment, the quantity of the semantic label of a certain service institute abstract differing under different sights.Difference according to sight, difference services a plurality of labels having and differs in theory, therefore, in same service library, does not have two services and has identical label information, here it is the uniqueness of service semantics.Therefore we just can determine a service according to several labels.
Default service procedure above-mentioned, refers to industry-by-industry for its different different business produced corresponding to line, carries out abstract by professional to its workflow producing line, the service execution flow process meeting workflow file standard formed.
Referring to Fig. 4, this is the Services Composition module rack composition of software system, wherein, comprises scenarios generation module and two major parts of service execution module.
Product line is produced sight and generates by scenarios generation module primary responsibility, facilitates follow-up service execution module to carry out the lookup of Back ground Information to confirm optimal service.The hardware device of bottom is abstracted into the service meeting W3C standard by service abstraction module primary responsibility therein, and the service registry these taken out is in service library；Service library is by carrying out unified management to the maintenance of service list to the service taken out.Wherein mainly include service name in service, service chaining, service can provide operation, the necessary precondition of service and service execution desired parameters.
Service in service library is taken out semantic label according to parameters such as the business function of service correspondence, input and output by semantization MBM primary responsibility, and is stored in semantic base, by managing semantic label thus reaching the unified management to equipment.Label includes one or more of Service name and following content thereof: device name, unit type, device class, can perform function, position, performance indications.Wherein performance indications comprise power consumption, efficiency, time, yield rate.
Preset the unified management to flow file of the process module primary responsibility.By the read-write operation in flow process storehouse is carried out management process file: provide external interface, it is allowed to the operation flow file that operator's typing sets；Flow file operator's selection or other system generated, the demand according to producing line is pushed to flow executing modules.
Flow file includes a series of pending service containing time sequencing.These services arrange according to the priority of execution sequence, wherein store linking and required operation of these services in pending service, can carry out corresponding operation by corresponding transfer equipment by the link of pending service and required operation.
Service execution module mainly includes performance Index module, optimal service searches module and process execution engine.Wherein performance indications module primary responsibility receives user-selected performance indications.Wherein performance indications comprise power consumption mentioned above, efficiency, time, yield rate.
The information existed in the performance indications that process optimization module primary responsibility inputs according to user and default flow process, finds out the optimal service meeting this standard.First the semantic label servicing correspondence in default flow process is extracted, according to wherein one or more label lookup service libraries, the result searched is the new service of replaceable former service, then one or more performance indications of former service and new service are contrasted, so that it is determined that optimal service, and bind in service library.And search service library and be confirmed whether can use, service library will be updated if unavailable, re-execute lookup, until optimal service can be used.
Process execution engine, the flow performing passing through optimization is gone down by primary responsibility, completes whole operation flow.It is responsible for receiving the flow file after optimal service searches module optimization and resolving.Search service library successively according to the order in flow file after parsing and make a look up binding, and input desired parameters and perform.Carry out changing to keep the correct execution of flow process when inter-service data form is incompatible.
Referring to Fig. 5, the present invention relates to the implementing procedure of scenarios generation module is: first initialize, by the service registry that obtains after device service abstract in service library.Then pass through the mode of semantization modeling, all services are taken out based on the demand of sight the label of correspondence, preserve to semantic base.Afterwards, it is possible to by the mode that user inputs, as by the interface, foreground of browser or client, it is allowed to user customizes this default flow process by the mode such as pulling or directly recalls from present default flow process storehouse；Or imported by other system and preset flow process.Wherein service library and semantic base store to data base.Preset flow process then to store in XML mode.
The present invention explained below one is applied to the example producing line, the step of scenarios generation module particularly as follows:
Step S1: according to the hardware device produced involved by line, the service taken out, its executable operation is abstracted into handling function corresponding in service, and will service in the form of a list, is registered in service library.
Step S2: traverse service storehouse, all services will deposited in service library, respectively it is carried out semantization modeling.According to semantic label mentioned above, in conjunction with factors such as its function, parameter, outputs, take out the semantic label of correspondence, and deposit to semantic base.It is assumed that propose function, position, performance indications label.
Step S3: provide interface, foreground, provides three kinds altogether and imports the mode presetting flow process, is respectively as follows: operator and selects existing flow file in flow process storehouse；Operator create new flow process by pulling mode and have no；Other system generates the mode presetting flow process.And the flow file imported is sent to service execution module.
Step S4: scenarios generation is complete, and it is supplied to operator's confirmation interface.
Participating in Fig. 6, the present invention relates to the implementing procedure of service execution module is: first receive operation flow file.And obtain the performance indications of user's real-time selection.According to these performance indications, by service available in service library is made a look up, to service optimizable in default flow process, substitute former flow process by the optimum service found.And the result according to optimal service lookup module, successively service involved in operation flow is carried out and binds.Send it to service execution engine, perform operation flow.
The present invention explained below one is applied to the example producing line, the step of service execution module particularly as follows:
Step S1: initialize, receives the next default flow process of scenarios generation module transmission and receives user performance index.
Step S2: initialize, the performance indications that real-time reception user selects.
Step S3: analyze and preset flow process, to each service in default flow process, searches semantic base, thus obtaining all of semantic label of this service.And extract multiple non-performance index therein, again search semantic base according to these labels, multiple services of replaceable former service can be obtained.By contrasting the performance indications of these services, can obtain being best suitable for the new service that user selects, and carry out optimal service lookup for the service of each in flow file successively, until all services in this flow process all carried out optimal service and search.Such as carry out labelled work when a certain step of default flow process needs to call certain mechanical hand, first obtain all labels according to this service search semantic base, device name can be obtained, function, position etc. can be performed.The lookup of semantic base is carried out, it is possible to search multiple service, for instance multiple mechanical hand can be found to can be carried out work of labelling, and position meets the requirements according to these labels.According to the performance indications that user selects, searching semantic base, thus obtaining optimized one of performance indications in these mechanical hands, and the former service in former flow process is replaced in this service.Each service in flow file is carried out optimal service lookup, thus completing the optimization to flow file.
Step S4: generate flow performing file according to user performance index.May then pass through service correction verification module to confirm, if there is unavailable service, then update service library, and repeat the 3rd step, it is ensured that flow process can correctly perform.
Step S5: perform final service procedure, wherein, is processed the problem such as external data base, inter-service data compatibility by service execution engine.
In sum, the scenarios generation module of the present invention and service execution module, produce line flow process for traditional industry and be optimized, improve the motility producing line.In the method, it is proposed that one models and preset flow process based on abstract service, semantization, and the performance indications provided according to user dynamically select the product line service combination system of optimal service.This service combination system combines the feature producing line, adopts the method presetting flow process to guarantee the accuracy of flow process.And the performance indications that can provide according to user, adjust service procedure dynamically, thus improving resource utilization as much as possible, reducing system energy consumption, improve the production efficiency producing line.This is a kind of new systematic optimization solution for product line, is suitable for promoting the use of.
Claims (6)
1. the product line dispatching method based on CEP inference engine, it is characterised in that comprise the following steps:
CEP module receives user's order and inquires about service library, carries out the dynamic distribution of production task according to the performed operating list of feedback, dynamic allocation result is formed flow of event and sends to IRIS module；
Flow of event is mated by IRIS module with the rule base with expert's priori, obtains presetting flow process and sends to sight generation module；
Scenarios generation module carries out semantization modeling, and by default flow process output to service execution module；
The service execution module performance indications according to user, are optimized by default flow process by searching semantic base and perform.
2. a kind of product line dispatching method based on CEP inference engine according to claim 1, it is characterized in that described reception user's order and inquire about service library, performed operating list according to feedback carries out the dynamic distribution of production task, dynamic allocation result is formed flow of event transmission and comprises the following steps to IRIS module:
1) user's order is disassembled into the atomic operation of underlying device；Inquiry service library obtains to complete the state of the same class underlying device of a certain atomic operation and can performing operation, and has been determined to the underlying device list of this atomic operation and the performed operating list of each underlying device according to Query Result；
2) according to performing the underlying device corresponding atomic operation of distribution that operating list is every class free time；The atomic operation of same purposes is merged into intermediary data stream by the different purposes according to atomic operation, intermediary data stream is merged again and iteration, sends to IRIS module until generating the one group of flow of event formed by the set of atomic operation；
3) when the event receiving underlying device fault notifies, service library is revised the state of this equipment in underlying device list, and this equipment correspondence can perform operating list, returns step 2).
3. a kind of product line dispatching method based on CEP inference engine according to claim 1, it is characterised in that described carry out mating comprising the following steps with the rule base with expert's priori by flow of event:
Registered events stream；Expert's priori is resolved to Expert Rules storehouse by data logging；Some restrictive conditions that each atomic operation in flow of event provides according to Expert Rules storehouse are screened, obtains unique corresponding atomic operation, and using atomic operation set as default flow process.
4. the product line dispatching patcher based on CEP inference engine, it is characterised in that including:
CEP module: be used for receiving user's order and inquiring about service library, carries out the dynamic distribution of production task, dynamic allocation result is formed flow of event and sends to IRIS module according to the performed operating list of feedback；
IRIS module: for being mated with the rule base with expert's priori by flow of event, obtains presetting flow process and sends to sight generation module；
Scenarios generation module: be used for carrying out semantization modeling, and by default flow process output to service execution module；
Service execution module: for the performance indications according to user, is optimized by default flow process by searching semantic base and performs.
5. a kind of product line dispatching patcher based on CEP inference engine according to claim 4, it is characterised in that described CEP module is used for:
1) user's order is disassembled into the atomic operation of underlying device；Inquiry service library obtains to complete the state of the same class underlying device of a certain atomic operation and can performing operation, and has been determined to the underlying device list of this atomic operation and the performed operating list of each underlying device according to Query Result；
2) according to performing the underlying device corresponding atomic operation of distribution that operating list is every class free time；The atomic operation of same purposes is merged into intermediary data stream by the different purposes according to atomic operation, intermediary data stream is merged again and iteration, sends to IRIS module until generating the one group of flow of event formed by the set of atomic operation；
3) when the event receiving underlying device fault notifies, service library is revised the state of this equipment in underlying device list, and this equipment correspondence can perform operating list, returns step 2).
6. a kind of product line dispatching method based on CEP inference engine according to claim 4, it is characterised in that described IRIS module includes:
Registered events stream；Expert's priori is resolved to Expert Rules storehouse by data logging；Some restrictive conditions that each atomic operation in flow of event provides according to Expert Rules storehouse are screened, obtains unique corresponding atomic operation, and using atomic operation set as default flow process.
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| CN112116468A (en) * | 2020-06-24 | 2020-12-22 | 上海金融期货信息技术有限公司 | Structured wind control implementation method and system based on stream type calculation engine |
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