CN106154992A - Production system and the control method of production system - Google Patents

Production system and the control method of production system Download PDF

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Publication number
CN106154992A
CN106154992A CN201510150046.6A CN201510150046A CN106154992A CN 106154992 A CN106154992 A CN 106154992A CN 201510150046 A CN201510150046 A CN 201510150046A CN 106154992 A CN106154992 A CN 106154992A
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China
Prior art keywords
industrial equipment
production system
optimization
parameter
unit
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CN201510150046.6A
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Chinese (zh)
Inventor
孟显涛
范顺杰
介鸣
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Siemens AG
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Siemens AG
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Application filed by Siemens AG filed Critical Siemens AG
Priority to CN201510150046.6A priority Critical patent/CN106154992A/en
Priority to PCT/EP2016/054980 priority patent/WO2016155996A1/en
Publication of CN106154992A publication Critical patent/CN106154992A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41875Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41865Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32015Optimize, process management, optimize production line
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/33Director till display
    • G05B2219/33334Load balancing, distribution between processors
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • General Factory Administration (AREA)

Abstract

The present invention provides the control method of a kind of production system and production system, and production system includes at least two industrial equipment, and wherein, industrial equipment includes that a service quality QoS assessment unit is for obtaining the QoS parameter of industrial equipment;When the QoS parameter of industrial equipment is unsatisfactory for predetermined threshold value, sending optimization request to the production system model PSM unit of industrial equipment, optimization request comprises QoS parameter;Produce system model PSM unit with one to be used for receiving optimization request, according to QoS parameter, the production system model preset and/or default production system optimize list, estimate Optimization Work state and/or the Optimization Work parameter of each industrial equipment, and the Optimization Work state of each industrial equipment and/or Optimization Work parameter are sent to the industrial equipment of each correspondence.Service quality thus ensure the fluency of whole production system operation, improve production efficiency, it is ensured that production system security performance.

Description

Production system and the control method of production system
Technical field
The present invention relates to industrial production automation technology, particularly relate to the control method of a kind of production system and production system.
Background technology
Along with manufacturing intelligent level improves, existing production system self is integrated with the distributed of server by numerous Automatic industrial equipment is constituted, by server, these industrial equipments can with other industrial equipment in production system, With the product of electronic tag and Enterprise Resources Planning (Enterprise Resource Planning is called for short " ERP "), The communications such as manufacturing execution system (Manufacturing Execution System, be called for short " MES ") with provide systematization, Automated production services.
But, in actual production process, still exist when multiple task requests arrive or plan target becomes simultaneously temporarily More and industrial equipment operation exception or fault etc. to cause industrial equipment to perform running efficiency of system low, whole production system Process flow turnover smooth, cause production system operational efficiency rapid drawdown completely time serious, even paralyse, cause and produce peace Full sex chromosome mosaicism.
Summary of the invention
Industrial equipment in order to solve to mention in background technology performs system for multi-task parallel or plan target temporary changes And the situation treatment effeciency such as industrial equipment operation exception or fault is the highest, and production system easily occurs operation turnover not smooth, The problems such as production security, the present invention is caused to provide the control method of a kind of production system and production system, by production In system, the service quality of each industrial equipment carries out service quality (Quality of Service is called for short " QoS ") assessment, According to the QoS parameter after assessment, based on default production system model, (Production System Model is called for short " PSM ") or default production system optimize list and estimate the Optimization Work of industrial equipment of each operation generating production system State and/or Optimization Work parameter, thus ensure the fluency of whole production system operation, improve production efficiency, it is ensured that raw Produce security of system performance.
The present invention provides a kind of production system, and including at least two industrial equipment, described industrial equipment includes a service quality QoS assessment unit and one produces system model PSM unit, wherein:
Service quality QoS assessment unit is for obtaining the QoS parameter of described industrial equipment, described QoS parameter For weighing instruction practice condition and/or the service behaviour of described industrial equipment of described industrial equipment;When described industrial equipment QoS parameter when being unsatisfactory for predetermined threshold value, send to the production system model PSM unit of described industrial equipment and optimize Request, described optimization request comprises described QoS parameter;
Described production system model PSM unit is used for receiving described optimization request, according to described QoS parameter with default Production system model and default production system optimize list, or according to described QoS parameter and preset production system System model, or optimize list according to described QoS parameter and default production system, estimate the excellent of each industrial equipment Change duty and/or Optimization Work parameter, and Optimization Work state and/or the Optimization Work of each industrial equipment described are joined Number is sent to the industrial equipment of each correspondence;Described default production system model includes that each industry constituting production system sets Standby model;Described default production system optimizes list and includes that the service quality constituting each industrial equipment of production system is excellent Change strategy.
The present invention also provides for the control method of a kind of production system, including:
The service quality QoS assessment unit of the first industrial equipment obtains the QoS parameter of described first industrial equipment, institute State QoS parameter for weighing the instruction practice condition of described first industrial equipment and/or described first industrial equipment Service behaviour;When the QoS parameter of described industrial equipment is unsatisfactory for predetermined threshold value, to the production system of the first industrial equipment System model PSM unit sends optimization request, and described optimization request comprises described QoS parameter;
The production system model PSM unit of described first industrial equipment receives described optimization request, according to described service quality Parameter and the production system model preset and default production system optimize list, or according to described QoS parameter with pre- If production system model, or optimize list according to described QoS parameter and default production system, estimate described the The Optimization Work state of one industrial equipment and each the second industrial equipment and/or Optimization Work parameter, and by described Optimization Work State and/or Optimization Work parameter are sent to described first industrial equipment and each second industrial equipment described;Described default life Produce system model and include constituting described first industrial equipment and the model of each the second industrial equipment described of production system;Institute State default production system optimization list and include that described first industrial equipment of composition production system and each second industry described set Standby service quality optimization strategy.
The present invention also provides for the control method of a kind of production system, including:
The service quality QoS assessment unit of the first industrial equipment obtains the QoS parameter of described first industrial equipment, institute State QoS parameter for weighing the instruction practice condition of described first industrial equipment and/or described first industrial equipment Service behaviour;When described QoS parameter is unsatisfactory for predetermined threshold value, to the first industrial equipment and each the second industrial equipment Production system model PSM unit send optimization request, described optimization request comprises described QoS parameter;So that institute State the production system model PSM unit of the first industrial equipment and each the second industrial equipment according to default production system model, In default respective industrial equipment model, default production system optimization list, default respective industrial equipment optimization list at least A kind of and described QoS parameter, estimates Optimization Work state and/or the Optimization Work parameter of respective industrial equipment, sends out Send described Optimization Work state and/or Optimization Work parameter to respective industrial equipment;Described default production system model includes structure Become described first industrial equipment and the model of each the second industrial equipment described of production system;Described default production system is excellent Change list and include constituting described first industrial equipment and the service quality optimization of each the second industrial equipment described of production system Strategy.The production system of present invention offer and the control method of production system, by each industrial equipment in production system Service quality carry out service quality QoS assessment, according to assessment after QoS parameter, based on default production system mould Type PSM or default production system optimize list, estimate the Optimization Work shape of the industrial equipment of each operation generating production system State and/or Optimization Work parameter, thus ensure the fluency of whole production system operation, improve production efficiency, it is ensured that produce Security of system performance.
Accompanying drawing explanation
Describe embodiments of the invention below with reference to accompanying drawings in detail, in accompanying drawing:
Fig. 1 is the structural representation of the embodiment one of production system of the present invention;
Fig. 2 is the structural representation of the embodiment two of production system of the present invention;
Fig. 3 is the structural representation of the embodiment three of production system of the present invention,
Fig. 4 is the flow chart of the embodiment one of the control method of production system of the present invention;
Fig. 5 is the flow chart of the embodiment two of the control method of production system of the present invention;
Fig. 6 is the flow chart of the embodiment one of the another control method of production system of the present invention.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with the embodiment of the present invention, Technical scheme in the embodiment of the present invention is clearly and completely described.It should be noted that in accompanying drawing or description In, similar or identical element all uses identical reference.
Fig. 1 is the structural representation of the embodiment one of production system of the present invention, as it is shown in figure 1, the production system of the present embodiment System includes: at least two industrial equipment 10~20, and industrial equipment 10~20 includes: a service quality QoS assessment unit 101 System model PSM unit 102 is produced, wherein: service quality QoS assessment unit 101 is used for obtaining industrial equipment with one The QoS parameter of 10~20, QoS parameter is for weighing instruction practice condition and/or the work of industrial equipment 10~20 The service behaviour of industry equipment 10~20;When the QoS parameter of industrial equipment 10~20 is unsatisfactory for predetermined threshold value, Xiang Gong The production system model PSM unit 102 of industry equipment 10~20 sends optimization request, and optimization request comprises QoS parameter; Production system model PSM unit 102 is used for receiving optimization request, according to QoS parameter and default production system mould Type and default production system optimize list, or according to QoS parameter and default production system model, or according to QoS parameter and default production system optimize list, estimate each industrial equipment 10~20 Optimization Work state and/or Optimization Work parameter, and Optimization Work state and/or the Optimization Work parameter of each industrial equipment 10~20 are sent to each Corresponding industrial equipment 10~20;Preset production system model and include constituting the model of each industrial equipment of production system; Preset production system and optimize the service quality optimization strategy that list includes each industrial equipment of composition production system.
Concrete, production system includes at least two industrial equipment 10~20, and industrial equipment 10~20 saves respectively as network Point is communicated by network interface, and industrial equipment 10~20 can be computer, motor, robot, Digit Control Machine Tool etc. Arbitrary equipment required in industrial production line.Industrial equipment 10~20 receives from management level server, product, refers in real time Make the assignment instructions of the transmissions such as report control platform, wherein, if assignment instructions comes from product, can be by adhering on product Electronic tag, when this product flows through industrial equipment 10~20, industrial equipment 10~20 is by the electronics mark on scanning product Label identification mission instructs.Service quality QoS assessment unit 101 can monitor industrial equipment 10~20 in real time to obtain industry The QoS parameter of equipment 10~20, service quality mainly reflects the instruction practice condition of industrial equipment 10~20, and/ Or the service behaviour of industrial equipment 10~20;May include that the load state of industrial equipment 10~20, equipment performance etc.; Arrive if any multiple assignment instructions simultaneously, or assignment instructions temporary changes, cause load heavier;Or owing to industry sets Produce on standby 10~20 performance faults (such as motor speed rapid drawdown, robot program make mistakes), operation delay, production line The situations such as product overstock, and then cause industrial equipment 10~20 service quality to decline, it is impossible to meet predetermined threshold value.Such as: when Load state is beyond presetting load threshold, and/or is less than the situations such as default equipment performance threshold value when equipment performance.This default threshold Value can be given different according to concrete industrial equipment type, performance, process flow performance indications etc. by engineers and technicians Predetermined threshold value index.Such as, industrial equipment 10 is motor, when the rotating speed of motor is unsatisfactory for preset rotation speed threshold value, and service Quality Q oS assessment unit 101 monitors the service quality of industrial equipment 10 and declines, and does not meet and presets motor speed threshold Value, then sends optimization request to production system model PSM unit 102;This optimization request comprises: service quality is joined Number;The concrete manifestation form of QoS parameter is the device type according to industrial equipment 10~20, performance, production line The indexs such as process flow demand are given, such as: current motor rotating speed is unsatisfactory for preset rotation speed, then in QoS parameter The tachometer value of current motor can be comprised, it is also possible to the task of comprising this motor processes time assessed value.Such as: during execution Between texe, waiting time twait, transmission time ttrans, size of data, transmission speed etc., wherein, perform time texeReferring to should The process time that assignment instructions is performed, waiting time twaitRefer to that this assignment instructions is performed in task instruction queue need The time treated, transmit time ttransRefer to that this assignment instructions arrives the transmission time of industrial equipment 10~20;QoS assesses unit 101 by calculating t time delay that task processesdelay, tdelay=twait+texe+ttransWhereinSize/transmission speed, if tdelayExceed preset time threshold, illustrate that this industrial equipment 10~20 is located the most in time Managing this assignment instructions, the most above-mentioned time delay values can also be as the QoS parameter of QoS, in conjunction with the tachometer value of motor Constitute the QoS parameter of current industrial equipment together for the service quality of industrial equipment is optimized.Need explanation , above-mentioned QoS parameter is time delay or motor speed is only for example, and the present invention is for QoS parameter not Being restricted, it can be to characterize industrial equipment 10~20 equipment performance, any service quality assessment ginseng of process flow performance Number.Service quality QoS assessment unit 101, obtains the QoS parameter of industrial equipment 10~20, therein obtained Journey both can actively be monitored industrial equipment 10~20 to obtain QoS parameter by service quality QoS assessment unit 101, The respective services mass parameter of self can also be reported to service quality QoS assessment unit 101 by industrial equipment 10~20, Concrete acquisition mode is not restricted by the present embodiment.When the QoS parameter got is unsatisfactory for predetermined threshold value, Xiang Sheng Produce system model PSM unit 102 and send optimization request, production system model PSM unit 102 prestores production system The default block mold of system, and/or the default optimization list of production system.If according to default production system model and QoS The QoS parameter provided is estimated, and is substituted into by QoS parameter and presets in production system model, calculates each The Optimization Work state of individual industrial equipment 10~20 and/or Optimization Work parameter, wherein, duty as shut down, standby, Run, rotate forward, reversion etc.;Running parameter such as time parameter, speed parameter, priority parameters, voltage and current parameter etc.; Above-mentioned duty and running parameter are only for example, and duty and running parameter are not especially limited by the present invention, work Journey technical staff can determine according to concrete operating mode.If optimizing list and the Service Quality of QoS offer according to default production system Amount parameter estimate, in production system model PSM102 storage have production system each industrial equipment configuration file, Process data, work-based logic file, run the form document such as time data, wherein have recorded QoS parameter and these Corresponding relation between indices in form document, such as: when the QoS parameter of certain industrial equipment shows the operation time Delayed 2 seconds, then utilizing look-up table, in form document, correspondence finds solution, duty: heighten motor speed; Running parameter: rotating speed heightens a certain tachometer value or the range of speeds.Thus the experience table utilizing empirical data to constitute complete right The adjustment of industrial equipment.Due to according to preset production system optimize list solution without according to QoS parameter, Presetting production system model to calculate in real time, can greatly reduce the time loss that model calculates, more quickly industry sets The duty of standby 10~20 and/or the adjustment of running parameter, thus process in time, efficiently under industrial equipment service quality The situation of fall.It is, of course, also possible to combine the production system model preset and default production system optimization list and Service Quality Amount parameter three obtains the strategy optimized jointly.Finally, generate corresponding to each industry according to duty and running parameter The Optimization Work state of equipment 10~20 and/or Optimization Work parameter, and will optimize after duty and/or optimize after work Be sent in each industrial equipment 10~20 as parameter so that industrial equipment 10~20 according to optimize after duty and/or Running parameter adjusts operation or adjusts the operating parameter etc. of industrial equipment 10~20.
The production system of the present embodiment, by carrying out service quality to the service quality of each industrial equipment in production system QoS assesses, according to the QoS parameter after assessment, excellent based on default production system model PSM or default production system Change list, estimate Optimization Work state and/or the Optimization Work parameter of the industrial equipment of each operation generating production system, from And ensure the fluency of whole production system operation, improve production efficiency, it is ensured that production system security performance.
Fig. 2 is the structural representation of the embodiment two of production system of the present invention, as in figure 2 it is shown, at above-described embodiment one On the basis of, this production system also includes an integrating server 103, and integrating server 103 is used for: receive industrial equipment 10~20 Pending assignment instructions, carries out statistical analysis to the assignment instructions received, and obtains the load feelings of industrial equipment 10~20 Condition;And/or receive the operational factor of industrial equipment 10~20 feedback;According to loading condition and/or the fortune of industrial equipment 10~20 Line parameter, generates the QoS parameter of industrial equipment 10~20;Wherein, service quality QoS assessment unit 101, tool Body is used for monitoring integrating server 103, obtains the QoS parameter of industrial equipment 10~20 in integrating server 103.
Concrete, its task of being sent to industrial equipment 10~20 by network communication interface reception of integrating server 103 refers to Order, can carry out queue management, prioritization, take the operations such as resource analysis, and combine self assignment instructions The disposal ability of disposal ability and industrial equipment is comprehensively analyzed, and evaluates the present load feelings of industrial equipment 10~20 Condition, such as, current industrial equipment 10~20 is the state of operating at full capacity, or is in idle condition etc..Meanwhile, integrated clothes Business device 103 can also know work in time by the operational factor receiving each sensor element feedback of industrial equipment 10~20 The current working state of industry equipment 10~20, thus find industrial equipment 10~20 whether fault in time or exist abnormal.Collection Becoming server 103 further according to loading condition and/or the operational factor of industrial equipment 10~20, comprehensive analysis obtains industrial equipment The QoS parameter of 10~20;Such as instructing for each bar in assignment instructions queue, it each needs the delay waited Time is how many etc..Accordingly, service quality QoS assessment unit 101, by monitoring integrating server 103, obtains Taking the executive capability information of integrating server 103, such as the executive capability of central processing unit, it reflects industrial equipment indirectly The service quality of 10~20.Service quality QoS assessment unit 101 obtains industrial equipment 10~20 in integrating server 103 QoS parameter, further according to predetermined threshold value, the QoS parameter of industrial equipment 10~20 is estimated.Can be big Big save service quality QoS assessment unit 101 directly obtain from industrial equipment 10~20 QoS parameter operation and Time, improve treatment effeciency.
Further, service quality QoS assessment unit 101, at least one in production system model PSM unit 102 It is integrated in integrating server 103.Service quality QoS assessment unit 101, production system model PSM unit 102 can To become one with integrating server 103, it is also possible to split is arranged.
Fig. 3 is the structural representation of the embodiment three of production system of the present invention, as it is shown on figure 3, at the base of above-described embodiment On plinth, industrial equipment 10~20 also includes: an admission control unit 104, for carrying out the access rights of assignment instructions Checking, if being verified, sends grant instruction to integrating server 103, so that industrial equipment 10~20 execution task refers to Order;Admission control unit 104, be additionally operable to receive production system model PSM unit 102 send Optimization Work state and/ Or Optimization Work parameter, to update the access right data of industrial equipment 10~20.
Concrete, the checking of access rights includes: the authentication to the initiator of assignment instructions, such as the IP of initiator Location is the most legal, the task category of initiator's pre-execution whether coupling etc., also includes: allow the industrial equipment 10~20 accessed Property rights, as allow access industrial equipment 10~20 read or write in function one or more etc..By license The control unit 104 checking to assignment instructions access rights, greatly reduces the probability of malicious access industrial equipment 10~20, Ensure the safety of production system;Simultaneously by admission control unit 104 before assignment instructions arrives industrial equipment 10~20 Assignment instructions carries out qualification screening, and the instruction only making qualified assignment instructions enter integrating server 103 performs queue, The assignment instructions treatment effeciency of integrating server 103 can be accelerated.Additionally, admission control unit 104, it is additionally operable to receive The Optimization Work state sent by production system model PSM unit 102 and/or Optimization Work parameter, admission control unit 104 update the access right data of corresponding industrial equipment 10~20 according to this Optimization Work state and/or Optimization Work parameter. Such as: industrial equipment 10 is a robot arm, its access right data does not the most include product is pasted bar coded sticker, But owing to production line treats that chemical product quantity overstocks, Optimization Work state and/or Optimization Work parameter may indicate that opens this machine The joint strip shape code label function of human arm, then admission control unit 104 updates the visit of robot arm according to this what's new Ask permissions data.
Further, this production system also includes: a project data unit 30, is used for depositing each industrial equipment 10~20 Configuration file so that production system model PSM unit 102 obtains from project data unit 30 constitutes production system Each configuration file corresponding to industrial equipment 10~20, is formed and presets production system model;It is additionally operable to deposit each industry The service quality optimization strategy of equipment 10~20, so that production system model PSM unit 102 is from project data unit 30 Obtain each the service quality optimization strategy corresponding to industrial equipment 10~20 constituting production system, formed and preset production system System optimizes list.
Concrete, project data unit 30 can be the configuration platform that engineers and technicians develop, and it possesses production system Complete configuration exploitation file, data, production system optimisation strategy lists etc., production system is by numerous different combinations Industrial equipment 10~20 composition, as current production system is made up of 10 industrial equipments 10~20, afterwards due to produce appoint Business needs, and production system is changed to 20 industrial equipments 10~20 composition, the then production system of each industrial equipment 10~20 Model PSM unit 102 can obtain each industrial equipment constituting current production system from project data unit 30 Configuration file corresponding to 10~20 and service quality optimization strategy, to form the default production system mould of current production system Type and default production system optimize list.It is to say, project data unit 30 provides the variation modeling of production system Demand, can make production system possess more preferable motility and plasticity.
Fig. 4 is the flow chart of the embodiment one of the control method of production system of the present invention, as shown in Figure 4, and including:
Step 101, the service quality QoS assessment unit of the first industrial equipment obtains the service quality ginseng of the first industrial equipment Number;QoS parameter is for weighing instruction practice condition and/or the workability of the first industrial equipment of the first industrial equipment Energy;When the QoS parameter of industrial equipment is unsatisfactory for predetermined threshold value, to the production system model PSM of the first industrial equipment Unit sends optimization request, and optimization request comprises QoS parameter.
Step 102, the production system model PSM unit of the first industrial equipment receives optimization request, according to QoS parameter List is optimized with default production system model and default production system, or according to QoS parameter and default production System model, or optimize list according to QoS parameter and default production system, estimate the first industrial equipment and each The Optimization Work state of the second industrial equipment and/or Optimization Work parameter, and by Optimization Work state and/or Optimization Work parameter It is sent to the first industrial equipment and each the second industrial equipment;Preset production system model to include constituting the first of production system Industrial equipment and the model of each the second industrial equipment;Preset production system optimization list to include constituting the first of production system The service quality optimization strategy of industrial equipment and each the second industrial equipment.
The method of the present embodiment, shown in available Fig. 1, the technical scheme of the embodiment one of production system is achieved, and it realizes Principle is similar with technique effect, and here is omitted.
The control method of the production system of the present embodiment, by carrying out the service quality of each industrial equipment in production system Service quality QoS is assessed, according to the QoS parameter after assessment, based on default production system model PSM or default Production system optimizes list, estimates the Optimization Work state of the industrial equipment of each operation generating production system and/or optimizes work Make parameter, thus ensure the fluency of whole production system operation, improve production efficiency, it is ensured that production system security performance.
Fig. 5 is the flow chart of the embodiment two of the control method of production system of the present invention, as it is shown in figure 5, at above-mentioned Fig. 4 On the basis of illustrated embodiment one, the method includes:
Step 201, the admission control unit of the first industrial equipment access right to the assignment instructions that the first industrial equipment receives Limit is verified, if being verified, sends grant instruction to the integrating server of the first industrial equipment, so that the first industry Equipment performs assignment instructions.
Step 202, the integrating server of the first industrial equipment receives the assignment instructions that the first industrial equipment is pending, to reception To assignment instructions carry out statistical analysis, obtain the loading condition of the first industrial equipment;And/or it is anti-to receive the first industrial equipment The operational factor of feedback;According to loading condition and/or the operational factor of the first industrial equipment, generate the service of the first industrial equipment Mass parameter.
Step 203, the integrating server of service quality QoS assessment unit monitors first industrial equipment of the first industrial equipment, And in the integrating server of the first industrial equipment, obtain the QoS parameter of the first industrial equipment;QoS parameter is used In instruction practice condition and/or the service behaviour of the first industrial equipment of weighing the first industrial equipment.
Step 204, when the QoS parameter of industrial equipment is unsatisfactory for predetermined threshold value, the service quality of the first industrial equipment QoS assessment unit sends optimization request to the production system model PSM unit of the first industrial equipment, and optimization request comprises institute State QoS parameter.
Step 205, the production system model PSM unit of the first industrial equipment receives optimization request, according to QoS parameter List is optimized with default production system model and default production system, or according to QoS parameter and default production System model, or optimize list according to QoS parameter and default production system, estimate the first industrial equipment and each The Optimization Work state of the second industrial equipment and/or Optimization Work parameter;Preset production system model to include constituting production system The first industrial equipment and the model of each the second industrial equipment;Preset production system optimization list to include constituting production system The first industrial equipment and the service quality optimization strategy of each the second industrial equipment.
Step 206, Optimization Work state and/or Optimization Work are joined by the production system model PSM unit of the first industrial equipment Number is sent to the first industrial equipment and each the second industrial equipment.
Step 207, the production system model PSM unit of the first industrial equipment sets to the first industrial equipment and each the second industry Standby admission control unit sends Optimization Work state and/or Optimization Work parameter so that the first industrial equipment and each second The admission control unit of industrial equipment updates the access right data of respective industrial equipment.
Step 206 and step 207 do not have the sequential relationship of certainty, and those skilled in the art can according to actual condition voluntarily It is set.
Further, also include: the production system model PSM unit of the first industrial equipment obtains pre-from project data unit If production system model and/or default production system optimize list;Project data unit, be used for depositing the first industrial equipment and The configuration file of each the second industrial equipment, so that production system model PSM unit obtains from project data unit constitutes life The configuration file corresponding to each industrial equipment of product system, is formed and presets production system model;It is additionally operable to deposit the first work The service quality optimization strategy of industry equipment and each the second industrial equipment, so that production system model PSM unit is from engineering number Obtain the service quality optimization strategy corresponding to each industrial equipment constituting production system according to unit, formed and preset production system System optimizes list.This step can any one step before step 205 be carried out.
The method of the present embodiment, shown in available Fig. 1~Fig. 3, the technical scheme of the embodiment of production system is achieved, in fact Existing principle is similar with technique effect, and here is omitted.
Fig. 6 is the flow chart of the embodiment one of the another control method of production system of the present invention, as shown in Figure 6, and including:
Step 301, the service quality QoS assessment unit of the first industrial equipment obtains the service quality ginseng of the first industrial equipment Number, QoS parameter is for weighing instruction practice condition and/or the workability of the first industrial equipment of the first industrial equipment Energy.
Step 302, when QoS parameter is unsatisfactory for predetermined threshold value, to the first industrial equipment and each the second industrial equipment Production system model PSM unit sends optimization request, and optimization request comprises QoS parameter;So that the first industrial equipment And the production system model PSM unit of each the second industrial equipment sets according to default production system model, default respective industry Standby model, at least one preset in production system optimization list, default respective industrial equipment optimization list and described clothes Business mass parameter, estimates Optimization Work state and/or the Optimization Work parameter of respective industrial equipment.
In this step, being different from the step 204 of above-described embodiment, service quality QoS assessment unit is not only to the first work The PSM unit of industry equipment sends optimization request, also sends out to the production system model PSM unit of each the second industrial equipment Send optimization request.It is to say, when QoS assessment unit finds the situation that the first industrial equipment exists bad service quality, In time by QoS parameter intelligence aids current for the first industrial equipment to all industrial equipments in production system.Have Forewarning function, makes the arbitrary industrial equipment in production system know the reason of the first industrial equipment hydraulic performance decline in advance, in advance Carry out preventive measure, ensure the security performance of this production system further.Additionally, constitute whole industry of production system Equipment, the i.e. first industrial equipment and each second industrial equipment are according to the complete production in its production system model PSM unit System model or the model of its respective industrial equipment, estimate duty and the running parameter of respective industrial equipment.Or First industrial equipment and each second industrial equipment are according to the complete production system optimization in its production system model PSM unit List or the optimization list of its respective industrial equipment, estimate duty and the running parameter of respective industrial equipment.Or Optimize list to combine with the two ways of model.It should be noted that each industrial equipment model is included in production system In model, each industrial equipment both can be according to the model of production system entirety, it is also possible to according to its body Model, calculate Obtain its each the Optimization Work state of industrial equipment and/or Optimization Work parameter.
Step 303, sends Optimization Work state and/or Optimization Work parameter to respective industrial equipment;Preset production system model Including the first industrial equipment and the model of each the second industrial equipment that constitute production system;Preset production system and optimize list Including the first industrial equipment and the service quality optimization strategy of each the second industrial equipment that constitute production system.
The control method of the production system of the present embodiment, by carrying out the service quality of each industrial equipment in production system Service quality QoS is assessed, and in time QoS is assessed the intelligence aids of poor industrial equipment to other work in production system Industry equipment, with each industrial equipment of early warning based on preset model, or the default list that optimizes estimates the respective optimization work of generation Make state and/or Optimization Work parameter, carry out preventive measure in advance, be further ensured that the fluency of whole production system operation, Improve production efficiency, it is ensured that production system security performance.
Last it is noted that various embodiments above is only in order to illustrate technical scheme, it is not intended to limit;To the greatest extent The present invention has been described in detail by pipe with reference to foregoing embodiments, it will be understood by those within the art that: its Still the technical scheme described in foregoing embodiments can be modified, or special to the most some or all of technology Levy and carry out equivalent;And these amendments or replacement, do not make the essence of appropriate technical solution depart from the present invention and respectively implement The scope of example technical scheme.

Claims (10)

1. a production system, including at least two industrial equipment, it is characterised in that described industrial equipment includes a service Quality Q oS assessment unit and one produces system model PSM unit, wherein:
Service quality QoS assessment unit is for obtaining the QoS parameter of described industrial equipment, described QoS parameter For weighing instruction practice condition and/or the service behaviour of described industrial equipment of described industrial equipment;When described industrial equipment QoS parameter when being unsatisfactory for predetermined threshold value, send to the described production system model PSM unit of described industrial equipment Optimization request, described optimization request comprises described QoS parameter;
Described production system model PSM unit is used for receiving described optimization request, according to described QoS parameter with default Production system model and default production system optimize list, or according to described QoS parameter and default production system mould Type, or optimize list according to described QoS parameter and default production system, estimate the optimization work of each industrial equipment Make state and/or Optimization Work parameter, and Optimization Work state and/or the Optimization Work parameter of each industrial equipment described are sent out Deliver to the industrial equipment of each correspondence;Described default production system model includes each industrial equipment of composition production system Model;Described default production system optimizes list and includes constituting the service quality optimization plan of each industrial equipment of production system Slightly.
Production system the most according to claim 1, it is characterised in that this production system also includes an integrating server,
The described assignment instructions received, for receiving the assignment instructions that described industrial equipment is pending, is entered by integrating server Row statistical analysis, obtains the loading condition of described industrial equipment;And/or receive the operational factor of described industrial equipment feedback; According to described loading condition and/or the operational factor of described industrial equipment, generate the QoS parameter of described industrial equipment;
Wherein, described service quality QoS assessment unit, specifically for monitoring described integrating server, from described integrated clothes The QoS parameter of described industrial equipment is obtained in business device.
Production system the most according to claim 2, it is characterised in that described service quality QoS assessment unit, At least one in described production system model PSM unit is integrated in described integrating server.
4. according to the arbitrary described production system of claim 2~3, it is characterised in that described industrial equipment also includes:
One admission control unit, for the access rights of the assignment instructions that described industrial equipment receives are verified, if It is verified, sends grant instruction to described integrating server, so that described industrial equipment performs described assignment instructions;
Described admission control unit, is additionally operable to receive the described Optimization Work shape that described production system model PSM unit sends State and/or Optimization Work parameter, to update the access right data of described industrial equipment.
5. according to the arbitrary described production system of claims 1 to 3, it is characterised in that also include:
One project data unit, for depositing the configuration file of each described industrial equipment, so that described production system model PSM unit obtains the configuration corresponding to each the described industrial equipment constituting described production system from described project data unit File, forms described default production system model;It is additionally operable to deposit the service quality optimization strategy of each described industrial equipment, So that described production system model PSM unit obtains described in each of the described production system of composition from described project data unit Service quality optimization strategy corresponding to industrial equipment, forms described default production system and optimizes list.
6. the control method of a production system, it is characterised in that including:
The service quality QoS assessment unit of the first industrial equipment obtains the QoS parameter of described first industrial equipment, institute State QoS parameter for weighing the instruction practice condition of described first industrial equipment and/or described first industrial equipment Service behaviour;When the QoS parameter of described industrial equipment is unsatisfactory for predetermined threshold value, to the production system of the first industrial equipment System model PSM unit sends optimization request, and described optimization request comprises described QoS parameter;
The production system model PSM unit of described first industrial equipment receives described optimization request, according to described service quality Parameter and default production system model and default production system optimize list, or according to described QoS parameter with default Production system model, or optimize list according to described QoS parameter and default production system, estimate described first work The Optimization Work state of industry equipment and each the second industrial equipment and/or Optimization Work parameter, and by described Optimization Work state And/or Optimization Work parameter is sent to described first industrial equipment and each second industrial equipment described;Described default production is System model includes described first industrial equipment and the model of each the second industrial equipment described constituting production system;Described pre- If production system optimizes list includes constituting described first industrial equipment of production system and each the second industrial equipment described Service quality optimization strategy.
Method the most according to claim 6, it is characterised in that the service quality QoS of described first industrial equipment Before assessment unit obtains the QoS parameter of described first industrial equipment, also include:
The integrating server of the first industrial equipment receives the assignment instructions that described first industrial equipment is pending, to receive Described assignment instructions carries out statistical analysis, obtains the loading condition of described first industrial equipment;And/or receive described first work The operational factor of industry equipment feedback;According to described loading condition and/or the operational factor of described first industrial equipment, generate institute State the QoS parameter of the first industrial equipment;
Accordingly, the service quality QoS assessment unit of described first industrial equipment obtains the service of described first industrial equipment Mass parameter includes, the collection of the first industrial equipment described in the service quality QoS assessment unit monitors of described first industrial equipment Become server, in the integrating server of described first industrial equipment, obtain the QoS parameter of described first industrial equipment.
Method the most according to claim 7, it is characterised in that the integrating server of described first industrial equipment receives Before the assignment instructions that described first industrial equipment is pending, also include:
The access rights of the assignment instructions that described first industrial equipment receives are entered by the admission control unit of the first industrial equipment Row checking, if being verified, sends grant instruction to the integrating server of described first industrial equipment, so that described first Industrial equipment performs described assignment instructions;
Accordingly, described first industrial equipment and the Optimization Work state of each the second industrial equipment and/or optimization are estimated described in After running parameter, also include:
The production system model PSM unit of described first industrial equipment is to described first industrial equipment and each described second work The admission control unit of industry equipment sends described Optimization Work state and/or Optimization Work parameter, so that described first industry sets Standby and each described second industrial equipment admission control unit updates the access right data of respective industrial equipment.
9. according to the arbitrary described method of claim 6~8, it is characterised in that described in estimate described first industrial equipment and Before the Optimization Work state of each the second industrial equipment and/or Optimization Work parameter, also include:
The production system model PSM unit of described first industrial equipment obtains described default production system from project data unit Model and/or described default production system optimize list;Described project data unit, is used for depositing described first industrial equipment And the configuration file of each described second industrial equipment, so that described production system model PSM unit is from described project data Unit obtains each the configuration file corresponding to described industrial equipment constituting described production system, forms described default production System model;It is additionally operable to deposit described first industrial equipment and the service quality optimization strategy of each described second industrial equipment, So that described production system model PSM unit obtains described in each of the described production system of composition from described project data unit Service quality optimization strategy corresponding to industrial equipment, forms described default production system and optimizes list.
10. the control method of a production system, it is characterised in that including:
The service quality QoS assessment unit of the first industrial equipment obtains the QoS parameter of described first industrial equipment, institute State QoS parameter for weighing the instruction practice condition of described first industrial equipment and/or described first industrial equipment Service behaviour;When described QoS parameter is unsatisfactory for predetermined threshold value, to the first industrial equipment and each the second industrial equipment Production system model PSM unit send optimization request, described optimization request comprises described QoS parameter;So that institute State the production system model PSM unit of the first industrial equipment and each the second industrial equipment according to default production system model, In default respective industrial equipment model, default production system optimization list, default respective industrial equipment optimization list at least A kind of and described QoS parameter, estimates Optimization Work state and/or the Optimization Work parameter of respective industrial equipment, sends out Send described Optimization Work state and/or Optimization Work parameter to respective industrial equipment;Described default production system model includes structure Become described first industrial equipment and the model of each the second industrial equipment described of production system;Described default production system is excellent Change list and include constituting described first industrial equipment and the service quality optimization of each the second industrial equipment described of production system Strategy.
CN201510150046.6A 2015-03-31 2015-03-31 Production system and the control method of production system Pending CN106154992A (en)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106774267A (en) * 2016-12-28 2017-05-31 中南大学 A kind of performance estimating method and device of the control system of sequential export
CN107450491A (en) * 2017-08-04 2017-12-08 杭州南江机器人股份有限公司 A kind of robot scheduling system, method, electronic equipment and storage medium
CN110231810A (en) * 2019-06-19 2019-09-13 盐城工学院 A kind of automatic production line management information system and method, production line control system
CN110928933A (en) * 2018-09-20 2020-03-27 鸿富锦精密电子(成都)有限公司 Production management method, production management device and computer-readable storage medium
CN111861181A (en) * 2020-07-14 2020-10-30 深圳市安科讯电子制造有限公司 Intelligent production system and production line formulation method for digital energy products
CN114026507A (en) * 2019-06-28 2022-02-08 德马吉森精机有限公司 Information processing apparatus, information processing method, and information processing program
CN116227754A (en) * 2023-05-09 2023-06-06 张家港大裕橡胶制品有限公司 Production self-adaptive optimization control method and system for rubber gloves

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7381244B2 (en) 2019-08-05 2023-11-15 ファナック株式会社 Control system for application execution

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1472671A (en) * 2003-06-19 2004-02-04 上海交通大学 Method for apparatus status monitoring and performance degenerate fore casting based on network
JP2007257657A (en) * 2007-05-07 2007-10-04 Hitachi Ltd Distributed control apparatus, system, and controller
US7684876B2 (en) * 2007-02-27 2010-03-23 Rockwell Automation Technologies, Inc. Dynamic load balancing using virtual controller instances
CN101770615A (en) * 2010-01-25 2010-07-07 重庆大学 Steelmaking-continuous casting production operation plan and real-time dispatching optimization method and system based on mixed intelligent optimization algorithm
CN101978389A (en) * 2008-02-22 2011-02-16 村田自动化机械有限公司 Vao productivity suite
EP2339418A1 (en) * 2009-12-18 2011-06-29 Siemens Aktiengesellschaft Method and device for enhancing production facility performances
CN102253662A (en) * 2011-04-11 2011-11-23 同济大学 Scheduling method for semiconductor production line based on multi-ant-colony optimization
CN102917362A (en) * 2012-10-12 2013-02-06 南京邮电大学 Multi-domain resource allocation method based on collaborative optimization in ubiquitous wireless network
WO2014044298A1 (en) * 2012-09-18 2014-03-27 Siemens Aktiengesellschaft Method for implementing an improved calculated load distribution in an automation system
WO2014132117A1 (en) * 2013-02-28 2014-09-04 Tata Consultancy Services Limited Identifying quality requirements of software product
CN104102211A (en) * 2014-07-29 2014-10-15 浙江中控软件技术有限公司 Scheduling method, server and system of combined heat and power generation system of fire coal thermal power plant

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2677378A1 (en) * 2012-06-21 2013-12-25 Siemens Aktiengesellschaft Method for operating an automation assembly

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1472671A (en) * 2003-06-19 2004-02-04 上海交通大学 Method for apparatus status monitoring and performance degenerate fore casting based on network
US7684876B2 (en) * 2007-02-27 2010-03-23 Rockwell Automation Technologies, Inc. Dynamic load balancing using virtual controller instances
JP2007257657A (en) * 2007-05-07 2007-10-04 Hitachi Ltd Distributed control apparatus, system, and controller
CN101978389A (en) * 2008-02-22 2011-02-16 村田自动化机械有限公司 Vao productivity suite
EP2339418A1 (en) * 2009-12-18 2011-06-29 Siemens Aktiengesellschaft Method and device for enhancing production facility performances
CN101770615A (en) * 2010-01-25 2010-07-07 重庆大学 Steelmaking-continuous casting production operation plan and real-time dispatching optimization method and system based on mixed intelligent optimization algorithm
CN102253662A (en) * 2011-04-11 2011-11-23 同济大学 Scheduling method for semiconductor production line based on multi-ant-colony optimization
WO2014044298A1 (en) * 2012-09-18 2014-03-27 Siemens Aktiengesellschaft Method for implementing an improved calculated load distribution in an automation system
CN102917362A (en) * 2012-10-12 2013-02-06 南京邮电大学 Multi-domain resource allocation method based on collaborative optimization in ubiquitous wireless network
WO2014132117A1 (en) * 2013-02-28 2014-09-04 Tata Consultancy Services Limited Identifying quality requirements of software product
CN104102211A (en) * 2014-07-29 2014-10-15 浙江中控软件技术有限公司 Scheduling method, server and system of combined heat and power generation system of fire coal thermal power plant

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106774267A (en) * 2016-12-28 2017-05-31 中南大学 A kind of performance estimating method and device of the control system of sequential export
CN106774267B (en) * 2016-12-28 2019-04-02 中南大学 A kind of performance estimating method and device of the control system of sequential export
CN107450491A (en) * 2017-08-04 2017-12-08 杭州南江机器人股份有限公司 A kind of robot scheduling system, method, electronic equipment and storage medium
CN110928933A (en) * 2018-09-20 2020-03-27 鸿富锦精密电子(成都)有限公司 Production management method, production management device and computer-readable storage medium
CN110928933B (en) * 2018-09-20 2023-05-16 鸿富锦精密电子(成都)有限公司 Production management method, device and computer readable storage medium
CN110231810A (en) * 2019-06-19 2019-09-13 盐城工学院 A kind of automatic production line management information system and method, production line control system
CN114026507A (en) * 2019-06-28 2022-02-08 德马吉森精机有限公司 Information processing apparatus, information processing method, and information processing program
CN114026507B (en) * 2019-06-28 2024-04-16 德马吉森精机有限公司 Information processing apparatus and information processing method
CN111861181A (en) * 2020-07-14 2020-10-30 深圳市安科讯电子制造有限公司 Intelligent production system and production line formulation method for digital energy products
CN116227754A (en) * 2023-05-09 2023-06-06 张家港大裕橡胶制品有限公司 Production self-adaptive optimization control method and system for rubber gloves

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