WO2013000504A1 - Procédé d'aide à la mise en service d'un système technique - Google Patents
Procédé d'aide à la mise en service d'un système technique Download PDFInfo
- Publication number
- WO2013000504A1 WO2013000504A1 PCT/EP2011/060812 EP2011060812W WO2013000504A1 WO 2013000504 A1 WO2013000504 A1 WO 2013000504A1 EP 2011060812 W EP2011060812 W EP 2011060812W WO 2013000504 A1 WO2013000504 A1 WO 2013000504A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- operating state
- component
- components
- commissioning
- values
- Prior art date
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Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0216—Human interface functionality, e.g. monitoring system providing help to the user in the selection of tests or in its configuration
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/10—Plc systems
- G05B2219/14—Plc safety
- G05B2219/14058—Diagnostic, using expert, knowledge based system
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24018—Computer assisted repair, diagnostic
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/33—Director till display
- G05B2219/33303—Expert system for diagnostic, monitoring use of tree and probability
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/35—Nc in input of data, input till input file format
- G05B2219/35494—Online documentation, manual, procedures, operator, user guidance, assistance
Definitions
- the invention relates to a method for supporting the commissioning of a system, in particular in the automation environment.
- the commissioning of complex technical systems is performed usually by specially trained for this system and for the commissioning ⁇ drove setting staff.
- the manufacturer usually supports manuals such as For example, manuals or Getting Started documents, including checklists, are provided. These documents are often in paper form and / or electronically, for example as a PDF file.
- the manuals are usually product-specific and not customer-specific, ie they describe a system in general and not exactly the characteristic or variant that the customer has ordered and purchased.
- the product description contains elaborated application scenarios ("Application Notes"), which often describe, via sample solutions, how a product can be used in the customer's system environment.
- the object of the invention is to provide the user with a method or system for commissioning support to the hand that leads him in the commissioning of its equipment or be ⁇ ner system, which in turn may consist of several components, supports and "monitored" ,
- a further object of the invention is to specify a system or method which helps the commissioning engineer to recognize what (still) has to be done, what dependencies exist between individual steps and when he has completed such a step or the entire commissioning ,
- the method comprises the following steps:
- a component of the system is ermit ⁇ telt at least, known in the value of the operating condition and is ursamba ⁇ Lich for a non fault-free condition of the system. Then, an instruction to alter the at least one determined component Radiozu ⁇ object is generated, and then the operating state values are recalculated so ⁇ far as possible and / or necessary. Then the Radiozu ⁇ standing of the system is checked and the procedural listed above Repeated steps are repeated if the system is not yet in a fault-free state.
- the components are each in a definable operating state which is defined by at least one value which is either fixed unchangeable, changeable from existing values and active relationships calculated or unknown.
- the system comprises means for checking the operating state of the technical system, means for determining at least one component of the system when the value of the Radiozu ⁇ object is known and the cause of a non-error-free operation condition of the system,
- the solution is based on the following basic idea: For the commissioning (IBS) of a technical system the user is given a generic In Sa GmbHsunter- support system in hand, the subsystem-specific, causal knowledge situational processed determined ermit ⁇ Telte misconfigurations and reports.
- the "knowledge” which in this case is used, is in Wesentli ⁇ chen the same knowledge that for a knowledge-based diagnostic nose of the system, for example in the event of an error, is used.
- Bayes' network For the diagnosis of technical systems causal probability networks are used in recent times. A variant of such networks is the so-called Bayes' network.
- Bayes' networks serve to represent uncertain knowledge and possible conclusions.
- a Bayes' sches network is a special form of .keitstheoreti ⁇ rule model.
- a Bayes' sches network is also shown as a ⁇ ter dishes acyclic graph, where nodes and edges of random variables describing conditional dependencies among variables.
- Each node of the network is assigned a conditional probability distribution of the random variable represented by it, which results from the combination of the conditional probabilities of the parent nodes.
- These conditional probability distributions can be described by probability tables or probability functions. It is often worked with discrete or normal distributions.
- Parents of a node v are those nodes of which one edge leads to v.
- suitable information for the instructions of the change of the operating state should be visualized for the user, in particular the recommended actions to be carried out for the commissioning of the technical system.
- the values of the operating states of the components of the system (the probabilities contained in the diagnostic knowledge of the Bay network should be redetermined).
- the network nodes ie the random variables
- the edges represent cause-effect relationships.
- the situation-dependent strength of the cause-and-effect relationships is represented by tables of related probabilities, ie a Bayesian network with discrete feature values.
- a characteristic value for example, represent a symptom (eg. B. IS "lamp does not emit light") and a ande ⁇ rer feature value represents the cause of failure to represent (z. B. "lamp has no power”).
- Each error cause is assigned an a priori probability against which to calculate the probabilities of all the symptoms not provided with evidence on ⁇ together with the specified conditional probabilities. Example: If the "lamp has no power", then the probability that the "lamp does not emit light” is equal to 100%.
- the symptom "lamp does not emit light” can now be used with probability or evidence is occupied by 100%, on the (possible) cause of error "lamp has no power” with a certain probability ge ⁇ closed.
- this probability ie the probabilistic inference on Bayesian networks, there are various commercial and free inference machines.
- This type of manual also allows control over which steps have already been carried out by the user during commissioning or which components of the system are already "in order” (ie correctly put into operation) and which steps are still open.
- a module eg a power source
- a first variant eg battery
- a second variant eg. Dynamo, mains connection
- the figures illustrate an exemplary embodiment of the commissioning ⁇ reduction of a lamp according to the claimed method.
- FIG. 1 shows an exemplary Bayesian network for the diagnosis case
- FIG. 3 shows the "lamp” associated Bayesian network "Bat ⁇ teriekasten” alternative to "power supply"
- Figure 4 lerursachen an overview, for example, from Figure 1 with two Def ⁇
- Figure 5 shows the overview of Figure 4 after removal of a first
- Figure 6 is an overview of a Bayesian network for a modular system consisting of lamp and power supply
- Figure 7 is an overview analogous to Figure 6 after the Netzste ⁇ cker was inserted.
- FIG. 1, reference numeral 11, 12, 13 feature node (short feature, more precisely a random variable representing a (diagnostic) feature) with values according to reference numeral 114
- Figure 1 10 causal relationship between features
- Figure 12 113: a table associated with a feature node with a priori probabilities
- Figure 1, IIa a table associated with a feature node with values of the operating state, (conditional probabilities that quantify the dependencies between causal relationships 10)
- Figure 1 114 feature value (short value, also: expression) of a feature
- Figure 1, 1 technical (sub-) system, represented as a logical container for a Bayesian network
- Example of the commissioning of a lamp with ausnocba ⁇ rem light source which can be supplied for example either from a network ⁇ part or a battery box with power. This embodiment is not intended to limit the claimed subject matter in any way.
- the commissioning and diagnostic knowledge for the involved components is determined: the lamp / light, the power supply and the battery box.
- the lamp / light for example by a so-called knowledge editor, three Bayesian
- the figure 1 represents the principle, combined diagnostic and In jos sos Giveaway for the lamp is the Bayesian network 1 representing the facts.
- the luminous means 13 not de ⁇ fect correctly installed
- the lamp, in the network Darge ⁇ represents as operating state 11. Since the network is not yet in a defined application context, the a priori probabilities for the characteristics "operating voltage” 112 and " Condition of the bulb "113 Undefined. This is represented here by the setting "all probability values 112, 113 to 1".
- the operating state IIa is obtained according to the pre-assigned in the operating state matrix probability values, in this case, the lamp is lit, when a voltage is ⁇ inserted and the lamp is correctly mounted. Other ⁇ if the lamp does not light up:
- FIG. 2 illustrates the basic, combined diagnostic and commissioning knowledge for an exemplary power supply unit, which has the operating voltage 12 mentioned in FIG. concretised.
- Bayes' see Network 2 represents the Sachver ⁇ halt.
- the power plug (of the power supply) may be plugged in (ie connected without error) or not.
- the a-priori probabilities for the "state of the power plug" 23 are still undefined (represented by the fact that all probability values 214 are still set to 1 in the modeling for the state of the power plug are) .
- the a priori probability distribution of the "supply state of assurance" 22 is an inherent property of the fuse used in each case which is already be ⁇ known. They can be roughly approximated in the Modellie ⁇ tion with "ten thousand fuses is defective" be ⁇ give, so here is therefore: The feature value "fuse OK" a- priori probability 0.9999 and the value "fuse defective” the Complementary Probability 0.0001.
- FIG. 3 illustrates the basic, combined diagnostic and commissioning knowledge for the battery box - an alternative solution to the power supply of the example of FIG. 2 for providing an operating voltage.
- the Bayesian network 3 represents the situation: Batteries are inserted into the Batte ⁇ riefach and they are fully charged, then is Be ⁇ operating voltage.
- FIG. 4 again shows the graph of FIG.
- attribution 411, 412, 413 of the node is (possibly by a knowledge editor) determines which components can be linked diagnostically with others. Details about this extension of diagnostic knowledge at system time can be found eg. Example, the document WO 2008064616 AI be removed. After completion of the knowledge engineering, ie the definition of all relationships, dependencies and known probabilities, this knowledge is now available to the user, who can use it to machine support his commissioning task.
- the user starts the commissioning (IBS) Under ⁇ support system and notify the system if necessary in respect of which component it wants to receive an automatic commissioning support - in this example the lamp.
- the IBS support system then loads the Bayesian network 1 and creates an instance of the previously generally defined network, for example, in memory. Now a significant step takes place: the system knows (eg by means of a corresponding attribution of the feature nodes) which values of the network are pre-assigned with concrete probability values in the context of "commissioning", ie can be provided with evidence e.
- the system knows (eg by means of a corresponding attribution of the feature nodes) which values of the network are pre-assigned with concrete probability values in the context of "commissioning", ie can be provided with evidence e.
- a newly purchased lamp is neither connected to a voltage source 412 nor a light source 413 has already been used.
- the IBS support system only reports one problem to the user for remedying: the cause of the error "No voltage” of the characteristic "Operating voltage”.
- the (overall) illumination system 4 to be commissioned comprises a set of individual, combinable components 1, 2, 3, which, in turn, subdivided themselves into other modules.
- the specific see system now results from the fact that z. B. a compo ⁇ nent x in the variant a and a component y in the Vari ⁇ ante b is used.
- the probability distribution for the "operating state” of the lighting system 4 can now also be calculated, namely from the "operating voltage” 12 and the "state of the light source” 13. Since the light ⁇ in IBS any preceding step has already been screwed 413. now, the operation state of the lighting system with 99, 99% for the feature value "lamp” new calculation ⁇ net.
Abstract
L'invention concerne un procédé et un dispositif destinés à aider à l'établissement d'un état de fonctionnement correct d'un système technique comprenant au moins un composant, et au moins certains composants coopérant les uns avec les aux autres. Chacun desdits composants se trouve dans un état de fonctionnement pouvant être défini, ladite définition étant réalisée au moyen d'au moins une valeur laquelle est : fixée de manière invariable, ou calculée à partir de valeurs et coopérations connues, ou inconnue. Afin d'établir ledit état de fonctionnement correct dudit système technique, l'utilisateur dispose selon l'invention d'un système générique d'aide à la mise en service lequel traite, en tenant compte de la situation, des données connues qui concernent des causalités et qui sont spécifiques à un système partiel, et lequel détecte et signale des configurations erronées qu'il vient de détecter.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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PCT/EP2011/060812 WO2013000504A1 (fr) | 2011-06-28 | 2011-06-28 | Procédé d'aide à la mise en service d'un système technique |
Applications Claiming Priority (1)
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PCT/EP2011/060812 WO2013000504A1 (fr) | 2011-06-28 | 2011-06-28 | Procédé d'aide à la mise en service d'un système technique |
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WO2013000504A1 true WO2013000504A1 (fr) | 2013-01-03 |
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PCT/EP2011/060812 WO2013000504A1 (fr) | 2011-06-28 | 2011-06-28 | Procédé d'aide à la mise en service d'un système technique |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102022200694A1 (de) | 2022-01-21 | 2023-08-10 | Siemens Aktiengesellschaft | Herstellungsverfahren für eine Überwachungsvorrichtung einer Automatisierungsanlage |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE19753929A1 (de) * | 1997-12-05 | 1999-06-17 | Aeg Hausgeraete Gmbh | Verfahren und Vorrichtung zum Betreiben eines Haushaltsgerätes |
DE102004008737A1 (de) * | 2004-02-23 | 2005-09-08 | BSH Bosch und Siemens Hausgeräte GmbH | Verfahren und Vorrichtung zum Anleiten eines Benutzers |
WO2008064616A1 (fr) | 2006-11-27 | 2008-06-05 | Siemens Aktiengesellschaft | Procédé et système de diagnostic pour le diagnostic d'un système technique |
-
2011
- 2011-06-28 WO PCT/EP2011/060812 patent/WO2013000504A1/fr active Application Filing
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE19753929A1 (de) * | 1997-12-05 | 1999-06-17 | Aeg Hausgeraete Gmbh | Verfahren und Vorrichtung zum Betreiben eines Haushaltsgerätes |
DE102004008737A1 (de) * | 2004-02-23 | 2005-09-08 | BSH Bosch und Siemens Hausgeräte GmbH | Verfahren und Vorrichtung zum Anleiten eines Benutzers |
WO2008064616A1 (fr) | 2006-11-27 | 2008-06-05 | Siemens Aktiengesellschaft | Procédé et système de diagnostic pour le diagnostic d'un système technique |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102022200694A1 (de) | 2022-01-21 | 2023-08-10 | Siemens Aktiengesellschaft | Herstellungsverfahren für eine Überwachungsvorrichtung einer Automatisierungsanlage |
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