WO2007017337A1 - Systeme pour detecter et analyser des pannes - Google Patents

Systeme pour detecter et analyser des pannes Download PDF

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Publication number
WO2007017337A1
WO2007017337A1 PCT/EP2006/064192 EP2006064192W WO2007017337A1 WO 2007017337 A1 WO2007017337 A1 WO 2007017337A1 EP 2006064192 W EP2006064192 W EP 2006064192W WO 2007017337 A1 WO2007017337 A1 WO 2007017337A1
Authority
WO
WIPO (PCT)
Prior art keywords
data
sensor
accident
process data
fault
Prior art date
Application number
PCT/EP2006/064192
Other languages
German (de)
English (en)
Inventor
Holger Grzonka
Bernd Opgenoorth
Joachim Scharnagl
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 EP06777752A priority Critical patent/EP1910903A1/fr
Publication of WO2007017337A1 publication Critical patent/WO2007017337A1/fr

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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
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure

Definitions

  • the invention relates to a system for accident detection and accident analysis for a technical system, wherein the system has at least one sensor for determining state data and / or process data of the technical system, the system is provided for automatic and / or manual fault detection, and the determined state data and / or the determined process data of an accident can be stored.
  • Such a system is used in automation systems, product or conveyor systems or similar technical equipment.
  • systems for incident detection which are used to control the idle time or downtime that occur due to accidents, to reduce in technical installations.
  • the technical complexity as well as personnel expenses for ⁇ He identification and rectification of faults is generally very high, so the incidents that usually make very isti ⁇ onshemmend noticeable.
  • various types of sensors are used to monitor such equipment. Here are sensors, in particular visual nature, very common and often universally applicable.
  • Systems for fault detection in technical systems usually have a visualization of the existing system diagram, which provides an overview of the entire system.
  • This data is usually collected, for example by means of a storage unit and managed by a computer.
  • Plat ⁇ sensors cation it is possible to important information as such, to identify at an early stage and to use correct the incident nuellen for fast ma ⁇ .
  • monitoring systems it is also possible to simultaneously monitor or identify different process states of a technical installation, whereby these can be displayed in a particularly clear manner and, in the case of special features, in particular in the case of faults, make possible immediate countermeasures.
  • a monitoring system is known, wherein the monitoring system for a technical system with a number of system components, which can be displayed as information elements on ei ⁇ ner display unit, wherein the information ⁇ elements on the basis of relevant for a system state process data such can be represented that the Ab ⁇ stand between each two information elements represents the degree of their contextual similarity.
  • the monitoring system it is not possible to detect the cause of an accident and it is also unable to carry out a statistical accident analysis.
  • the invention is based on the object of a technical At ⁇ position to monitor, detect interference cases to identify the Stö ⁇ approximate cause and a statistical fault case analysis to be performed.
  • This object is achieved in a system of the type mentioned in that the system for the automatic Er ⁇ recognition of a cause of failure by means of the status data and / or the process data of an accident and a manual and / or automatic accident analysis for the system is conditioned, and that the system comprises means for automatic ⁇ rule detection of the fault cause of the accident by means of the condition data and / or process data.
  • the one or more sensors installed so that the entire production process can be detected.
  • the sensors record the data of the production process kon ⁇ continuously in a ring buffer to which can store a certain time interval, for example 10 to 30 seconds, depending on requirements, the sensor data. If an error or incident (for example, a failure in one of the machine control of the production line), then the order ⁇ stored running buffer of the sensors that detect the region in front of or after the machine together with the fault message in the operating data acquisition system.
  • the circulation buffer of the sensors which detect other relevant measured variables of the fault location, are also stored.
  • Ei ⁇ ne fault analysis is performed on the basis of data stored material which averages the symptoms and ER-.
  • the fault analysis can be done manually or auto ⁇ matically.
  • the data material is entered diagnosed with the data acquisition system to, among others, a statistical analysis to it ⁇ potential of all detected incidents.
  • An automatic determination of the cause of the fault is possible by means of a correspondingly developed system, which enables detection has learned or is conditioned for certain causes of the fault.
  • This system creates next to the data material and the self-recognized cause of the fault together with the Stö ⁇ approximately message onto the data acquisition system.
  • detected causes of faults can be entered immediately into the operating data acquisition system. Recognized for not automatically disorders is based on a set ⁇ recorded and stored data material subsequently carried out a manual analysis and thus subsequently determines the cause of the fault.
  • a entspre ⁇ sponding conditioning of the system can be such that a entspre ⁇ chender algorithm to the automatic evaluation to-be together passed a new fault detection after a not yet occurring fault cause has been identified and analyzed manually, so that the future automatic fault detection is ensured.
  • Another goal is to store the detected causes of failure or store and analyze them with data processing equipment. For example, the analysis provides information about the pros and cons
  • An advantageous embodiment of the system for incident detection ⁇ and accident analysis for an automated or technical system is a system that a data Memory, which is provided for diagnostic data of the detected failure causes from the state data and / or the process data.
  • the advantage consists of the statistical fault analysis, which is carried out with regard to the process data and / or status data. This means for example that the frequency, timing, or a sys ⁇ atic error cause of the fault causes determines who can ⁇ . For example, other information that is important to the operator of the technical system can be taken from the diagnostic data.
  • the diagnostic data thus enable a minimization of downtime in future incidents.
  • a central memory unit in which the status data and / or the process data and / or the diagnostic data can be stored. If the system has such a central storage unit, then the diagnostic data and / or status data and / or process data of several sensors can be recorded, stored and analyzed. In this way, failure cases, which are based on machine units, which have a total of great intertwining with other machine parts of the system, observed and analyzed ⁇ who. In this way, incidents which, so have a spill over ⁇ to a non-local character analyzed.
  • the status data and / or the process data and / or the diagnostic data can be analyzed by means of a data processing unit.
  • a data processing unit allows a faster and more efficient accident analysis of the technical system, in particular ⁇ special if this is very complex. Further enables ei ⁇ ne data processing unit in this context, an easier handling of the system, on the one hand by an adequate extensive graphical representation, on the other hand, by the efficient handling and analysis of data.
  • the data processing unit and / or the central spoke pure ⁇ is / are integral and / or the sensor provided as mobile units.
  • the means for analysis and fault cause recognition in the field of technical equipment are flexibly movable, thus enabling an automatic or manual on-site analysis.
  • the means for Ana ⁇ analysis directly at the location of the accident occurred may be used.
  • the on-site central storage unit can be used for the manual accident analysis of a new accident.
  • the data processing unit it is advantageous to be able to use a sensor mobile. In this way, depending on a specific problem situation, very specific parts of a technical installation or subplant can be observed by the sensor, especially for the purpose of investigating an accident type. In the same way, several Senso ⁇ are ren to a specific portion attachable.
  • the system has at least ei ⁇ nen intelligent sensor, or this intelligent sensor is integrated into the system.
  • the intelligent sensor is capable of performing some pre-analysis. This makes the automatic fault cause detection faster and easier, since the intelligent sensor, similar to the whole system, is conditioned for a specific accident or several specific accidents, so that the Störfallur ⁇ thing recognition works locally.
  • the senor for storing state data and / or process data has a digital and / or analog circulation buffer, whereby the securing of the raw data is ensured independently of the current state of the overall system.
  • the sensor can itself carry out a preliminary analysis of the stored state and / or process data in an intelligent manner and / or send it to the system. forward or forward the self-generated diagnostic data in the system.
  • a further advantageous embodiment of the system is a system which offers the possibility of positioning a sensor on the automated system depending on the malfunction.
  • means are provided on the sensor and / or means on the technical system in order to bring about a simple dislocation or positioning of the sensors for the relevant subsystem. In this way, sensors can be subtracted from positions that are regarded as disturbance-critical at some point in time.
  • a sensor provided for wireless data transmission to the data processing unit and / or the central storage unit ⁇ is seen.
  • a sensor of this type more easily positioned as sensors that require a direct connection in the form of a Ka ⁇ bels for data processing unit, which is for certain technical equipment and conditions not approach feasible or safety too dangerous.
  • a sensor is provided for connection to a detection unit ⁇ , whereby an efficient pre-analysis or complete detection of the cause of the fault is made possible.
  • a detection unit ⁇ for connection to a detection unit ⁇ , whereby an efficient pre-analysis or complete detection of the cause of the fault is made possible.
  • Such a mobile unit is as an analysis device ⁇ executable, which must be not more complex integrated into the technical see plant.
  • This embodiment is therefore a type of service device for incident detection and accident analysis for technical installations.
  • a further advantageous embodiment of the system is a system that selves a recognition unit for creating Diagno ⁇ and / or a cause of the fault is provided for detecting at least.
  • the recognition unit independently or on request sends status data and / or process data and / or diagnostic data to the central storage unit.
  • a further advantageous embodiment of the system is a system whose sensors have detection units which are provided in the event of a fault for the transmission of status data and / or process data from the circulation buffer to the central memory unit. In this way, the cause of failure analysis can be carried out centrally.
  • a further advantageous embodiment of the system comprises a system that uses sensors which ⁇ on request of the data processing unit for the transmission of status data and / or process data are provided from the circular buffer to the central storage unit in the event of an accident, of the possibly large amount of data provided by the sensors to cause no overload of the system.
  • the data processing unit then directs the request to a sensor if it can spend time on it. So that no movement of such data ⁇ relish is ensured, in particular a number of machine parts overarching incident occurs during an incident.
  • Show it: 1 shows a first embodiment of a system for
  • FIG 3 shows a second embodiment of a system for
  • FIG. 1 shows a first embodiment of a system 1 for incident detection and accident analysis of a technical system.
  • An error-prone points of the technical system 2 which may be designed as a production line or production line or Verpa ⁇ ckungsline, cameras are positioned as sensors.
  • the technical system 2 can have machines, conveyors, line elements, etc. If a fault is reported by one of the machines 13, 14, 15, then the corresponding sensor 4 designed as a camera is triggered. The sensor 4 then sends the images stored in the circular buffer 6 or movie sequence that include the process sequence of the last 10 to 30 seconds prior to the failure, to the data processing unit 9 and / or to the central storage unit 8, which ⁇ acquisition system as a unit of Tro Schemes 16 can be executed.
  • the data of the images or movie sequence are stored together with the data of the fault message.
  • the cause of the fault is then manually or if the Sys tem ⁇ is already conditioned to have the disorder determined automatically. Since often the actual cause of the fault does not lie directly in the environment of the affected machine or component that generated the fault message, large parts or all of the available sensors can alternatively be withdrawn or immediately before the affected machine or component or if a fault message occurs. after the be positioned on the affected machine or component.
  • the second engine 14 and the För ⁇ derband before and after the visual sensor range of both sensors 4.
  • Different strategies depending on the technical aspects of the production line or industrial plant are conceivable.
  • Figure 2 shows the first embodiment of a system 1 for accident detection and accident analysis of a technical system of Figure 1 in an accident.
  • the visual information about this fault is stored in the circulation buffer 6 of the sensor 4, wherein the sensor 4 is designed as a camera.
  • the total machine stopped in the third machine 15 provides a Trig ⁇ gersignal, which is used to read the circular buffer 6 in the sensor. 4
  • the visual information is converted into data by the sensor 4 and represents at least part of the diagnostic data 7, which are forwarded to a unit of the operating data acquisition 16.
  • An accident cause identification is conceivable by a pre-analysis of the sensor 4 designed as a camera.
  • the sensor 4 sends the detected fault causes and the diagnostic data 7 which ⁇ more can now include the data of the pre-analysis, images and / or Filmse- frequency, to the unit of the operating data 16 and stores the data listed on a central storage unit 8 off.
  • a manual control of the automatic detection of the cause of the fault can subsequently take place or the automatic recognition algorithm can be improved and / or new possible causes of the fault can be conditioned.
  • ⁇ sem techniques are applicable for operating an order ⁇ running buffer, the digital image recording and the digital image processing.
  • FIG. 3 shows an embodiment of a system 1 for accident detection and accident analysis with an intelligent Similar to the first exemplary embodiment from FIGS. 1 and 2, the intelligent sensor 12 also uses an analog or digital circulation buffer 6. Furthermore, the intelligent sensor 12 is equipped with a recognition unit 10. The recognition unit 10 takes over the processing of the visual Auswer ⁇ raw data, wherein a pre-analysis takes place, whereby certain faults are identified. In this exemplary embodiment, the intelligent sensor 12 forwards the status data and / or the diagnostic data 7 of a fault directly to the data processing unit 9. Together with the process data 5 from the unit of the operating data acquisition 16 all accident-relevant data for accident analysis and / or statistical analysis on the Basis of a large number of incidents.
  • the invention relates to a system for Stör ⁇ case recognition and incident analysis for a technical An ⁇ location, the system for automatic and / or manual accident detection is provided, and the determined status data and / or the determined process data of an accident can be stored, used to be the Sys ⁇ tem to condition for future unfortunate occurrences to monitor the technical facility with the aim of disorder cases festzu ⁇ ask to identify the cause of the fault and automatically perform a statistical and systematic or accident analysis.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

La présente invention concerne un système pour détecter et analyser des pannes, destiné à une installation technique. Selon l'invention, le système est conçu pour réaliser une détection automatique et/ou manuelle des pannes, et les données d'état déterminées et/ou les données de processus déterminées relatives à une panne, peuvent être enregistrées pour être utilisées pour conditionner des pannes futures, dans le but de surveiller l'installation technique, de constater des pannes, d'identifier automatiquement l'origine des pannes, et de mettre en oeuvre une analyse statistique et/ou systématique des pannes.
PCT/EP2006/064192 2005-08-05 2006-07-13 Systeme pour detecter et analyser des pannes WO2007017337A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP06777752A EP1910903A1 (fr) 2005-08-05 2006-07-13 Systeme pour detecter et analyser des pannes

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102005036964.2 2005-08-05
DE200510036964 DE102005036964A1 (de) 2005-08-05 2005-08-05 System zur Störfallerkennung und Störfallanalyse

Publications (1)

Publication Number Publication Date
WO2007017337A1 true WO2007017337A1 (fr) 2007-02-15

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Application Number Title Priority Date Filing Date
PCT/EP2006/064192 WO2007017337A1 (fr) 2005-08-05 2006-07-13 Systeme pour detecter et analyser des pannes

Country Status (3)

Country Link
EP (1) EP1910903A1 (fr)
DE (1) DE102005036964A1 (fr)
WO (1) WO2007017337A1 (fr)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102012005912A1 (de) * 2012-03-26 2013-09-26 Gea Cfs Germany Gmbh Verfahren zur Überprüfung der Verfügbarkeit der Komponenten einer Produktions- und/oder Verpackungslinie
DE102016005061A1 (de) 2016-04-28 2016-09-29 Daimler Ag Vorrichtung zur Unterstützung bei der technischen Dokumentation und Störungsbehebung an technischen Anlagen
DE102018131223A1 (de) * 2018-12-06 2020-06-10 company42 GmbH Verfahren zur Erfassung eines Ausgabeparameters einer Ausgabeeinheit einer Maschine
DE102018131214A1 (de) * 2018-12-06 2020-06-10 company42 GmbH Verfahren zur Konfiguration einer Erfassungsvorrichtung

Citations (4)

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Publication number Priority date Publication date Assignee Title
EP0837323A2 (fr) * 1996-10-18 1998-04-22 Consolidated Papers, Inc. Procédé et système de surveillance vidéo d'une bande en mouvement rapide
US5821990A (en) * 1995-03-06 1998-10-13 Champion International Corporation System for monitoring a continuous manufacturing process
US20020161467A1 (en) * 2000-05-12 2002-10-31 Nobuki Hashiguchi Production management system and system for checking operating conditions of product processing apparatuses
US6757006B1 (en) * 1998-12-22 2004-06-29 Nichiha Corporation Moving trouble monitoring system and recording medium

Family Cites Families (2)

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Publication number Priority date Publication date Assignee Title
CH687110A5 (de) * 1991-09-10 1996-09-13 Luwa Ag Zellweger Verfahren zur Erstellung einer Stoerungsdiagnose an Produktionsmaschinen und Anwendung des Verfahrens an Textilmaschinen.
FI115558B (fi) * 2002-03-27 2005-05-31 Metso Automation Oy Menetelmä havainnointialueen mittakaavan määrittämiseksi

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5821990A (en) * 1995-03-06 1998-10-13 Champion International Corporation System for monitoring a continuous manufacturing process
EP0837323A2 (fr) * 1996-10-18 1998-04-22 Consolidated Papers, Inc. Procédé et système de surveillance vidéo d'une bande en mouvement rapide
US6757006B1 (en) * 1998-12-22 2004-06-29 Nichiha Corporation Moving trouble monitoring system and recording medium
US20020161467A1 (en) * 2000-05-12 2002-10-31 Nobuki Hashiguchi Production management system and system for checking operating conditions of product processing apparatuses

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP1910903A1 *

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Publication number Publication date
EP1910903A1 (fr) 2008-04-16
DE102005036964A1 (de) 2007-02-15

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