WO2014146686A1 - Outil et procédé pour la simulation d'une installation technique - Google Patents

Outil et procédé pour la simulation d'une installation technique Download PDF

Info

Publication number
WO2014146686A1
WO2014146686A1 PCT/EP2013/055623 EP2013055623W WO2014146686A1 WO 2014146686 A1 WO2014146686 A1 WO 2014146686A1 EP 2013055623 W EP2013055623 W EP 2013055623W WO 2014146686 A1 WO2014146686 A1 WO 2014146686A1
Authority
WO
WIPO (PCT)
Prior art keywords
component
simulation
components
inputs
processed
Prior art date
Application number
PCT/EP2013/055623
Other languages
German (de)
English (en)
Inventor
Oliver Drumm
Benjamin Lutz
Mathias OPPELT
Gerrit Wolf
Original Assignee
Siemens Aktiengesellschaft
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens Aktiengesellschaft filed Critical Siemens Aktiengesellschaft
Priority to PCT/EP2013/055623 priority Critical patent/WO2014146686A1/fr
Publication of WO2014146686A1 publication Critical patent/WO2014146686A1/fr

Links

Classifications

    • 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]
    • G05B19/41885Total 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 modeling, simulation of the manufacturing system
    • 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
    • G05B2219/32345Of interconnection of cells, subsystems, distributed simulation
    • 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]

Definitions

  • the invention relates to a tool for simulating a technical installation with at least one simulator instance comprising a plurality of components each realized as at least one application, wherein several of these components have inputs and outputs and for model-based, cyclical calculation of new output values in each simulation cycle Dependent on the respective input values are formed.
  • the desire for integrated digital planning of the system to be realized is growing. Shortening the planning and construction phase while at the same time increasing quality means a lower return of investment for the plant operator.
  • the digital planning of a virtual plant and its simulation makes it possible to test the planning results in order to avoid any unpleasant surprises during the later realization on the construction site and in the commissioning phase. Through simulation an attempt is made to get the most realistic possible test.
  • system simulation does not end with the start of production on the system. For example, personnel can be trained on a virtual system during operation, regardless of the current production. In addition, optimizations and tests on the virtual system are possible without disturbing the real production.
  • the simulation of the technical system then serves to optimize the operation of the plant or to improve the quality of the product produced on the plant.
  • the invention has for its object to provide a tool and a method for simulating a technical system, which allow in a simple way an improved interaction of several simulators involved in the simulation.
  • the new tool of the type mentioned in the features specified in claim 1.
  • Advantageous developments of the tool are described in the dependent claims, a method for simulating a technical system in claim 10, a computer program and a digital storage medium in claims 11 and 12, respectively.
  • the invention has the advantage that a wide variety of industry-specific and domain-specific simulation models and simulators can each interact as components of a simulator instance. This makes it possible to model and simulate a technical system from a holistic point of view. In this case, no central sequence control for coordinating the components involved in the simulation is required in an advantageous manner, which would mean increased control and communication effort. Rather, the process is controlled by the processing of the data from the components according to the component dependencies specified in the data flow, so that it is possible to speak of a data flow-controlled process.
  • the simulation cycles have a nearly constant cycle duration and a component is designed as a so-called master to simulate simulation cycles.
  • a time slice memory cell assigned to an input of a component is set to the status "not processed” and the components are informed of the valid system time.
  • the model-based calculations of the components are simplified and simulation calculations In the normal case, that is, if there is no real-time violation, the time-slot memory cell is in the "processed" state before a new simulation cycle is started by the master.
  • a so-called manager component for storing the data flow to be executed, in which the data flow is stored as a list of images of in each case one component output on one or more component inputs, wherein the illustrations additionally show the component input or the component inputs, respectively Identify associated memory cell.
  • the data flow-oriented sequence control can thus be managed more easily since the memory cells and data connections assigned to the component inputs are stored in the same list.
  • components of a simulator instance can added, removed or replaced at runtime.
  • components with memory for example if a model-based computation has an integrator, to save the state of the component before replacement, and then to transition it to be able to restore.
  • the requisite storage required for this purpose can likewise be realized in the manager component.
  • a component for simulation coupling is provided, which is suitable for the application of any plant simulators to the simulator instance or supports the use of existing and specific plant models.
  • Components for simulation coupling are therefore not only suitable for the connection of plant simulators, but also for the connection of other applications, such as executable models.
  • Executable models may include different ones
  • Simulators are generated or simply developed by hand in any programming language.
  • Java Native Interface can advantageously be used for connection to the component for simulation coupling. This is advantageously not bound to platform-specific functions, for example Windows shared memory.
  • a distribution of simulator components on several simulator instances is made possible if each instance is provided with a component for simulation coupling remotes, by means of which the coupling between the instances can be realized.
  • OSGI framework is based on the Java programming language and is a modular and component-oriented software standard whose services can be offered locally and network-wide through a dynamic runtime system. Services are provided by the smallest modular unit of the OSGI framework, the so-called
  • the bundles of an OSGI framework can be dynamically installed, uninstalled, or even updated without having to pause or restart the system.
  • the invention is preferably implemented by loading suitable software onto one or more arithmetic units.
  • the invention is thus on the one hand also a computer program with executable by a computer program code instructions and on the other hand, a storage medium with such a computer program, so a computer program product with program code means, as well as a tool for simulating a technical system, which is implemented with arithmetic units in their memory as means for Implementation of the simulation and its embodiments such a computer program is loaded or loadable.
  • Figure 1 is a block diagram of a tool for
  • FIGS. 2A to 2D show a component network in each case in one of four states for illustrating a nes event-driven execution of a simulation cycle
  • FIG. 3 shows a section of a component network with concurrent processing.
  • the exemplary embodiment explained below shows a tool for simulating a technical system, which is implemented on the basis of the software platform of the OSGIAlliance.
  • other runtime frameworks are suitable, for example the so-called service-oriented framework
  • a simulator instance 1 which can also be referred to as a co-simulation framework 1
  • the components 2 ... 8 are dynamically integrated as so-called bundles 2 ... 8 by an OSGI framework 9.
  • the OSGI framework 9 is based on the Java programming language and is a modular and component-oriented software standard of the OSGI
  • the components 2... 8 of the simulator instance 1 realized as a co-simulation framework comprise a manager component 2, which can also be referred to as a simulation framework manager, components 3, 7 and 8 for simulation coupling, hereinafter also referred to as simulation couplings, of which the component 8 as Simulation coupling Remote for coupling the simulator instance 1 with another simulator instance 10 is used, as well as components 4, 5 and 6, which themselves contain models of sections of the technical system.
  • the manager component 2 is responsible for the management of the simulator instance 1 and contains information about interdependencies of the components 3... 8 with one another and about their states. Due to the component dependencies, the sequence of simulation processing is defined as a function of the concatenation of the inputs and outputs of components 3 ... 8 to form a data flow path. Supported by the OSGI standard, the components 3 ... 8 of the simulator instance 1 can be added, removed or replaced at runtime. In order to avoid inconsistencies when exchanging components, for example jumps in the newly calculated values of outputs, for the components with memory, for example for the state of an integrator contained in a component, the state of the component before the exchange is stored in a state memory Managerkomponente 2 held in order to restore the state after replacement seamlessly. This state memory is advantageously also realized by the manager component 2.
  • Components 3 and 7 for simulation coupling can be used to connect any plant simulator to the OSGI Framework 9 and support the integration of existing and specific plant models.
  • the simulation tool SIMIT which is available from Siemens AG, connected as a system simulator 11.
  • simulation coupling components can not only be used to connect to plant simulators, but also to couple other applications, such as executable models, to the OSGI framework 9.
  • executable models can be used by different simulators. be developed or simply developed by hand in any programming language.
  • the executable model 12 is connected to the OSGI framework 9 by the simulation coupling component 7.
  • various types of interfaces are available in principle.
  • FMI Flexible Mock-Up Interface
  • FMUs Field-Mock-Up Units
  • FMI Framework Mock-Up Units
  • two interfaces 13 and 14 which serve to connect the SIMIT simulator 11 or the executable model 12, are designed as JNI (Java Native Interface). This has the advantage that the interfaces 13 and 14 can be used for simulators or models that are not available in the Java programming language, for example in the C programming language. Moreover, they are not bound to platform-specific functions, for example Windows shared memory.
  • the component 8 for simulation coupling is in the simulator instance 1 and another component 15 in the simulator instance 10 Simulation coupling provided, which are interconnected via communication interfaces.
  • the data exchange and the communication between different simulator instances are supported computer-localized or network-wide.
  • the simulator instance 10 is represented by the component 8 with its data inputs and data outputs in the simulator instance 1.
  • the simulator instance 10 has a manager component 16, an OSGI framework 17 and a simulation coupling component 18 to which an executable model 19 is coupled via a Java native interface 20.
  • the components 4 5 and 6 implemented models are directly integrated in the programming language Java and integrated by the connection of the components 4 ... 6 to the OSGI framework 9 in the data flow.
  • the process is controlled by processing the data from the components according to the component dependencies specified in the data flow path. This has the advantage over the alternative possibility of realizing a flow control for the component involved in the simulation in a central component, that the associated control and communication overhead, which the advantages of the OSGI framework with regard to parallelization and distribution severely restricted, is avoided.
  • Each input of a component is a vector that includes both the state of the input and its value. This is generally formulated in the following equation for an input E m of a component K n : with state e ⁇ ; l ⁇ .
  • the expression “value” stands for an integer variable, a vector, or an array of variables that are needed for the simulation calculations.
  • the state of the input can be “zero” for “processed” and “1” for “ not processed. "Since each component is over can have more than one input, the set of all inputs can be represented in matrix notation, as shown by the following equation:
  • FIG. 2A-2D show different states of a component network with three components K 1 ( K 2 and K 3 , as well as an example of a data flow based on connecting arrows between outputs which have no state and inputs with the respective marked state
  • the input states are symbolized by circles in Figure 2, where a filled circle corresponds to a "not processed” and an empty circle corresponds to a "processed” state Since the initial values of the components K 1 ( K 2 and K 3 , which are transferred in accordance with the illustrated data flow, are irrelevant to the explanation of the sequence control, these are not shown for the sake of clarity in FIG 2.
  • Event-controlled means, for example, that each output propagates in the framework with the calculation of a new output value listen to the newly provided data and thus recognize the new egg occurred event that the respective upstream component has provided new output data as its own input data. Since this state change must be represented in an implementation by coding in some form, this is simply referred to in the context of the present application as the state of a memory cell assigned to the respective input.
  • 2A shows the initialization of the input states of the components K 1 ( K 2 and K 3) , which is carried out before the start of the simulation, whereby all inputs, to which outputs of follower components in the data flow are coupled, are set to the state "not processed".
  • Figure 2B shows the state immediately after the initiation of a simulation cycle by a time slice event in which the previously not set input ⁇ was set by placing a time slice a vector, consisting of the respective state and a value, whereby the current system time is transferred here as value.
  • all inputs of the component ⁇ are in the state "not processed.” Only if the state of all inputs of a component has the value "1 ", that is, the state" not processed ", has assumed new output calculated values for their outputs and provided in the data flow next component.
  • the following formula describes the mapping of a newly calculated value of a component output to the input of the following component:
  • the simulation cycle is terminated and returned to the initial state shown in Figure 2A. Only when a new time slice event occurs can the next simulation cycle be started. the.
  • the processing is data flow-oriented in parallelizable processes without the need for a central sequence control.
  • the additional boundary condition is observed that a recalculated output value may only be transferred to an input according to the stored data flow if the state of the input is "0", ie "processed". If this is not yet the case, the data transfer must be awaited.
  • the "accumulation" of transfers is a means of synchronizing the components with each other and is unproblematic even with real-time simulations over a certain period of time.However, in a real-time simulation, a new simulation cycle should be initiated by applying a timeslice, even though the component input ⁇ of the time slice is still in the In this way, real-time violations can be reliably detected and reported without the need for central sequencing control for the calculations to be performed in the components, with the reliable detection of "1", ie "unprocessed” In the case of real-time violations, an uncontrolled behavior of the models used for the simulation is advantageously avoided.
  • a special feature of the tool described in the present application is the simulation of a technical application In the concurrent and distributed processing of calculations in components, which will now be illustrated by FIG.
  • each component represents an application or an independent process, which in the embodiment shown is realized as an OSGI bundle.
  • OSGI bundle Several calculations can be performed at the same time in different components, provided that their inputs have all previously been in the state "1" or “not processed”. Due to the parallelization, the processing is very efficient.
  • a start begins Part of a simulation cycle with the calculation of a new output value by a component K 4 . This value is transferred to one input each of three components K 5 , K 6 and K 7 , which can thereby begin simultaneously and in parallel with their calculations.
  • the component K 8 can carry out its model-based calculations comparatively early.
  • the component K 7 as a component for simulation coupling can represent a further simulator instance remotely.
  • a new simulation tool and method in which different domain-specific and trade-specific simulators and their models can be coupled with one another. It provides the functionality required to efficiently couple distributed simulators, taking into account real-time compliance. If real-time can not be maintained in the course of the simulation, the tool provides a message about the injury that has occurred.
  • simulators and models realized dynamically as so-called bundles can be added and removed during the simulation. There is no need for central sequencing for the components implemented as stand-alone processes, which would severely limit the performance of the tool.
  • the SIMIT system simulator from Siemens AG was coupled with a simulator instance.
  • the system simulator SIMIT realized the visualization of the model as well as the control algorithms for level control of a tank.
  • the tank itself as well as the pipelines and the sensors were realized by components with integrated models within the simulator instance.
  • different tank models were used, which represented for example an ideal and a leaky tank.
  • these tank models were exchanged during the co-simulation coupled with SIMIT. Due to the above-described manager component with its properties, the signal integrity was advantageously retained despite model exchange.

Landscapes

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

Abstract

L'invention concerne un outil et un procédé permettant la simulation d'une installation technique avec au moins une instance de simulateur (1, 10) qui comprend plusieurs éléments (2...8, 15, 16, 18) réalisés chacun au moins sous forme d'une application. Plusieurs éléments (3...8, 15, 18) exécutent un calcul, cyclique et basé sur un modèle, de leurs nouvelles valeurs de sortie en fonction des valeurs d'entrée respectives. Pour éviter une commande centralisée du déroulement, le déroulement est commandé orienté par le flux de données par le fait qu'à chaque entrée d'un élément est attribuée une cellule de mémoire par le biais de laquelle il est affiché si une nouvelle valeur d'entrée est déjà traitée ou non. Des valeurs d'entrée nouvellement calculées sont transmises, selon le flux de données en arrière-plan, aux entrées des éléments seulement lorsque ces valeurs se trouvent dans l'état « traité ». D'une manière avantageuse, une mise en parallèle et, en particulier, une exécution efficiente des calculs sont rendues possibles du fait que des éléments peuvent être répartis entre des calculateurs locaux et/ou des calculateurs dans un réseau.
PCT/EP2013/055623 2013-03-19 2013-03-19 Outil et procédé pour la simulation d'une installation technique WO2014146686A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/EP2013/055623 WO2014146686A1 (fr) 2013-03-19 2013-03-19 Outil et procédé pour la simulation d'une installation technique

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/EP2013/055623 WO2014146686A1 (fr) 2013-03-19 2013-03-19 Outil et procédé pour la simulation d'une installation technique

Publications (1)

Publication Number Publication Date
WO2014146686A1 true WO2014146686A1 (fr) 2014-09-25

Family

ID=48236857

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2013/055623 WO2014146686A1 (fr) 2013-03-19 2013-03-19 Outil et procédé pour la simulation d'une installation technique

Country Status (1)

Country Link
WO (1) WO2014146686A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114518734A (zh) * 2022-02-17 2022-05-20 杭州和利时自动化有限公司 一种控制模型集成方法、装置及其介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090089030A1 (en) * 2007-09-28 2009-04-02 Rockwell Automation Technologies, Inc. Distributed simulation and synchronization
US20100017179A1 (en) * 2000-06-19 2010-01-21 Oleg Wasynczuk Distributed simulation
DE102009043425A1 (de) * 2009-09-29 2011-04-07 Siemens Aktiengesellschaft Simulationssystem und Verfahren für eine technische Anlage
DE102010060924A1 (de) * 2009-12-01 2011-06-09 Emerson Process Management Power & Water Solutions, Inc. Verbessertes verteiltes industrielles Prozesssimulationssystem
US20120084062A1 (en) * 2010-10-01 2012-04-05 Rockwell Automation Technologies, Inc. Dynamically selecting master clock to manage non-linear simulation clocks

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100017179A1 (en) * 2000-06-19 2010-01-21 Oleg Wasynczuk Distributed simulation
US20090089030A1 (en) * 2007-09-28 2009-04-02 Rockwell Automation Technologies, Inc. Distributed simulation and synchronization
DE102009043425A1 (de) * 2009-09-29 2011-04-07 Siemens Aktiengesellschaft Simulationssystem und Verfahren für eine technische Anlage
DE102010060924A1 (de) * 2009-12-01 2011-06-09 Emerson Process Management Power & Water Solutions, Inc. Verbessertes verteiltes industrielles Prozesssimulationssystem
US20120084062A1 (en) * 2010-10-01 2012-04-05 Rockwell Automation Technologies, Inc. Dynamically selecting master clock to manage non-linear simulation clocks

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114518734A (zh) * 2022-02-17 2022-05-20 杭州和利时自动化有限公司 一种控制模型集成方法、装置及其介质
CN114518734B (zh) * 2022-02-17 2023-11-03 杭州和利时自动化有限公司 一种控制模型集成方法、装置及其介质

Similar Documents

Publication Publication Date Title
EP2685382B1 (fr) Procédé et dispositif de création et de test d'un programme d'appareil de commande
DE19639424A1 (de) Entwurfsverfahren für die Anlagentechnik und rechnergestütztes Projektierungssystem zur Verwendung bei diesem Verfahren
DE102014110096A1 (de) Testeinrichtung zum Echtzeittest eines virtuellen Steuergeräts
EP2330469B1 (fr) Procédé et environnement de développement destinés à produire un programme de commande complet exécutable
EP3451202B1 (fr) Procédé de génération d'un modèle d'un système technique exécutable sur un appareil d'essai et appareil d'essai
DE102017120016A1 (de) Verfahren zur Konfiguration eines zum Testen eines elektronischen Steuergeräts eingerichteten Testgeräts sowie Konfigurationssystem
WO2016141998A1 (fr) Dispositif et procédé pour produire une représentation numérique d'une entité physique
DE102018110018A1 (de) Verfahren zum Bereitstellen eines integrierten Prozesses für die Steuergerätentwicklung und Simulationsvorrichtung für die Steuergerätentwicklung
EP2718774A1 (fr) Système de simulation, procédé permettant d'effectuer une simulation, système de guidage et produit de programme informatique
DE102014219711A1 (de) Verfahren zur Kraftwerkssimulation
WO2015082156A1 (fr) Dispositif et procédé permettant de modifier les réglages opérationnels d'une installation technique
WO2004111738A1 (fr) Dispositif et procede pour programmer et/ou pour executer des programmes pour des systemes d'automatisation industriels
DE102009002432A1 (de) Verfahren zur rückkopplungsbasierten Optimierung eines Messdatenlebenszyklus bei Fügeprozessen in der Fertigung
WO2014154281A1 (fr) Configuration, basée sur des objets, d'une installation de processus industriel et/ou de fabrication
WO2017029087A1 (fr) Procédé de création automatique d'un modèle de processus et dispositif pour mettre en œuvre le procédé
WO2014146686A1 (fr) Outil et procédé pour la simulation d'une installation technique
EP2517129B1 (fr) Procédé et dispositif pour déterminer les variables d'état d'un modèle de processus différentiel-algébrique hybride
DE102018207172A1 (de) Verfahren und Vorrichtung zum Simulieren eines cyber-physischen Systems
EP2191338B1 (fr) Système d'établissement d'un programme de simulation
DE102017130842A1 (de) Konfigurationssystem zur Konfiguration eines zum Testen eines elektronischen Steuergeräts geeigneten Testsystems
EP1387260A1 (fr) Procédé et dispositif pour la génération des logiciels
EP1958101B1 (fr) Systeme et procede de verification automatique de resultats de conception
EP3696621A1 (fr) Procédé et appareil mis en uvre par ordinateur permettant de commander un système technique modulaire
EP3432139B1 (fr) Procédé implémenté par ordinateur destiné à générer du code de programme informatique
DE102014105109A1 (de) Verfahren und Vorrichtung zum Erzeugen und Abarbeiten von Testfällen

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 13719739

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 13719739

Country of ref document: EP

Kind code of ref document: A1