WO2024052016A1 - Procédé de surveillance de consommateurs multimédia dans une ligne de remplissage et dispositif pour la mise en œuvre du procédé - Google Patents

Procédé de surveillance de consommateurs multimédia dans une ligne de remplissage et dispositif pour la mise en œuvre du procédé Download PDF

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Publication number
WO2024052016A1
WO2024052016A1 PCT/EP2023/071532 EP2023071532W WO2024052016A1 WO 2024052016 A1 WO2024052016 A1 WO 2024052016A1 EP 2023071532 W EP2023071532 W EP 2023071532W WO 2024052016 A1 WO2024052016 A1 WO 2024052016A1
Authority
WO
WIPO (PCT)
Prior art keywords
operating states
monitoring
media consumption
consumption
treatment machine
Prior art date
Application number
PCT/EP2023/071532
Other languages
German (de)
English (en)
Inventor
Stefan Scherl
Veronika Tesar
Christian Prommesberger
Original Assignee
Krones Ag
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 Krones Ag filed Critical Krones Ag
Publication of WO2024052016A1 publication Critical patent/WO2024052016A1/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
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
    • G05B23/0235—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions based on a comparison with predetermined threshold or range, e.g. "classical methods", carried out during normal operation; threshold adaptation or choice; when or how to compare with the threshold
    • 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
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
    • G05B23/0232—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions based on qualitative trend analysis, e.g. system evolution
    • 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
    • G05B2219/31—From computer integrated manufacturing till monitoring
    • G05B2219/31414—Calculate amount of production energy, waste and toxic release

Definitions

  • the invention relates to a method for monitoring media consumption in a filling line and a device for carrying out the method according to the independent claims.
  • EP 2 650 743 A1 discloses a method for assessing a condition of a system and for initiating measures based on the assessment.
  • Energy and/or media data are recorded over a reference period of predefined duration to determine reference values for the energy and/or media data.
  • Energy and/or media data are recorded over a comparison period of predefined duration, which is, for example, equal to the duration of the reference period, in order to determine comparison values for the energy and/or media data.
  • the comparison values for the energy and/or media data are compared with the corresponding reference values.
  • Predefined measures regarding the system are initiated when the respective deviation of the comparison values from the corresponding reference values exceeds a corresponding, predefined tolerance value.
  • the object of the invention is to provide a method for monitoring media consumption in a filling line and a device for carrying out the method, which enable reliable conclusions to be drawn as to whether a specified media consumption is OK or is outside a currently expected range.
  • the method for monitoring media consumption in a filling line that includes at least one container treatment machine includes monitoring media consumption of a container treatment machine depending on at least two different operating states of the container treatment machine and determining limit values of the media consumption for the at least two different operating states.
  • the limit values and the monitored media consumption can be used when operating the at least one container treatment machine. For example, when transferring If a limit value for media consumption passes, settings of the container treatment machine can be changed or parts of the container treatment machine can be replaced which, for example, no longer work optimally and/or have reached the end of their service life.
  • media consumption values can be obtained.
  • the values can be taken into account as data points, for example for determining the limit values.
  • limit values can be determined independently for one of the at least two different operating states, context-dependent limit values can result. These can be used, for example, to monitor the container processing machine when it is in one of the respective operating states.
  • the limit values for the container processing machine when idle can be different to the limit values for the container processing machine in production operation.
  • the media consumption can vary and/or be different in the at least two different operating states, whereby the determination of limit values of the media consumption for the at least two different operating states can, for example, automatically include changes in the filling line and/or in/from the at least one container processing machine.
  • the operating states can include a production process of the container treatment machine, an idle state of the container treatment machine, a standby of the container treatment machine or a type-related production process of the container treatment machine.
  • Other operating states are possible. For example, maintenance work can also be carried out on the container treatment machine during standby.
  • the method may further include determining media consumption data points for the at least two different operating states.
  • the data points may include media consumption as a function of time.
  • media consumption values can be obtained.
  • media consumption values that are monitored can be used as data points and taken into account, for example, for determining the limit values.
  • a data point can also be an average of several obtained media consumption values.
  • the method can further include determining an average media consumption based on the data points for the at least two different operating states.
  • the average media consumption can be specified as a function of time, for example for a period in which a respective operating state of the container treatment machine exists.
  • the determination of media consumption limit values for the at least two different operating states can be based on a comparison of a metric for a respective actual state and a respective target state.
  • the actual state can correspond to a value of media consumption that may have been determined through monitoring.
  • a target state can be a historically known value that was determined, for example, for media consumption in an operating state and for which it is known that the media consumption of the container treatment machine was trouble-free.
  • the method can further include setting warning values for the at least two different operating states, whereby a warning can be issued if the warning value is exceeded.
  • An alert value can be 40%, 50% or 60% larger than average media consumption.
  • the average media consumption can be known from historical data from a previously experienced operating state that corresponds to the current one.
  • the method can further include setting alarm values for the at least two different operating states, whereby an alarm is issued when the alarm value is exceeded, wherein, for example, the output can include possible solutions for eliminating the media consumption that triggered the alarm.
  • An alarm value can be 100%, 110% or 120% greater than average media consumption.
  • the average media consumption can be known from historical data from a previously experienced operating state that corresponds to the current one.
  • An alarm value of an operating condition is generally greater than a warning value of the operating condition.
  • the alarm can be issued if the warning value has previously been exceeded twice, three times, four times or five times and/or if the alarm value has been exceeded.
  • the alarm can be transmitted to and/or displayed on a mobile device using SMS or email or similar, for example.
  • a description of the alarm and/or an associated error and, for example, information about possible solutions and/or how to resolve the alarm/error can be provided, for example on the mobile device.
  • a link to a standard procedure can be provided.
  • the standard procedure may include an authoritative textual description of the sequence of operations to resolve the alarm/error.
  • the standard procedure can be displayed on the mobile device.
  • Feedback can be provided by an operator who has received the alarm on their mobile device and has managed to resolve the alarm/error according to the specified steps.
  • the feedback may include information about the actual error that was to be corrected and/or information about how the alarm/error was resolved. This feedback can be made available for further analysis.
  • warning values and/or alarm values can take place depending on the measurement limits of a sensor used for monitoring.
  • context information for the at least two different operating states can be taken into account. Using the context information, limit values that are unsuitable for an operating state can be avoided, which could otherwise suggest a disruption in media consumption.
  • the context information may include at least one of:
  • valves may close, a power supply is interrupted, compressed air is released, or the like.
  • valves may close unexpectedly, a power supply may be interrupted, compressed air may be released or lost, or the like.
  • Changing types and/or products during operation of the container treatment machine can lead to a change in media consumption, which is not, however, due to a leak or inappropriately adjusted glue application, but can result, for example, from heavier containers and/or a larger number of labels to be applied per container . Changes to the operating parameters of the container treatment machine can cause a change in media consumption.
  • Monitoring the media consumption of a container processing machine may include at least one of:
  • a device for carrying out the method, as described above or below, is provided.
  • the device may comprise a computing device with instructions stored thereon which, when executed by a processor of the computing device, cause it to carry out the method as described above or further below.
  • Figure 1 is a diagram of a time-dependent compressed air consumption for different operating states
  • Figure 2 is a diagram with an increase in compressed air leakage in the production operating state, which lies between two standstill operating states and
  • Figure 3 is a block diagram for a workflow relating to monitoring.
  • Figure 1 shows a diagram 1 of a time-dependent compressed air consumption 2 for different operating states 7, 8, 9, 10, 11 12.
  • the horizontal time axis 4 indicates a time in hours and minutes and also the date of the corresponding day.
  • the left vertical axis 5 indicates the values of the compressed air consumption 2 in Nm 3 /h (standard cubic meters per hour).
  • a standard cubic meter is the amount of a gas contained in a volume of one cubic meter at a temperature of 0 °C and a pressure of 1.01325 bar.
  • Diagram 1 also shows the time-dependent course of the current machine output 3.
  • the right vertical axis 6 indicates the number/min (number per minute); This can mean, for example, the number of primary packaging.
  • the period of time shown from January 10th to January 15th includes, as the first operating state 7, a standstill with a start-up behavior before the second operating state 8, which corresponds to production.
  • the startup behavior can be used as a context indication.
  • the container treatment machine comes to a longer standstill, this standstill corresponding to a third operating state 9.
  • the information that this standstill occurs during production can be used as contextual information.
  • the start-up behavior can be seen again; the production that then takes place corresponds to a fourth operating state 10.
  • the container treatment machine is at a standstill, which corresponds to a fifth operating state 11.
  • maintenance work will also be carried out on the container processing machine.
  • the maintenance work can correspond to a sixth operating state 12 and can be used, for example, as context information.
  • data points 13, marked as diamond-shaped elements in FIG. 1, of the compressed air consumption 2 can be determined. These can be compared with a warning value 14 and an alarm value 15 to monitor the media consumption, here the compressed air.
  • Figure 2 shows a diagram 16 with an increase in compressed air leakage in the “production” operating state, which lies between two “standstill” operating states.
  • “Production” operating state data is recorded when the machine output of the container processing machine is zero, i.e. the container processing machine is at a standstill.
  • the vertical axis 19 indicates the values of the compressed air consumption 17 in Nm 3 /h (standard cubic meters per hour).
  • the horizontal axis 18 indicates the data points/h (data points per hour).
  • the data of the first operating state 20, the second operating state 21 and the third operating state 22 are all recorded while the container processing machine is at a standstill.
  • the machine output is “zero” when at a standstill.
  • the compressed air consumption 17 shown in the second operating state 21 therefore corresponds to the consumption that the container treatment machine has when it is at a standstill during production.
  • compressed air consumption can be significantly higher.
  • the compressed air consumption has a first average value 23 and in the third operating state a second average value 24.
  • the first mean value is 23 6.7 Nm 3 /h and the second mean value 24 is 7.4 Nm 3 /h.
  • the second operating state can, for example, have extended over a period of four days.
  • Figure 3 shows a block diagram for a workflow relating to monitoring.
  • media consumption of a container treatment machine can be monitored, for example according to the method according to the invention. If an alarm value is exceeded or if a warning value is exceeded twice, three times, four times or five times, an alarm can be issued in a second step 26.
  • the alarm can be transmitted and/or displayed, for example, to a mobile device using SMS or email or the like.
  • a description of the alarm and/or an associated error and, for example, information about possible solutions and/or how to resolve the alarm/error can be provided.
  • a link with a standard procedure can be provided.
  • the standard procedure may include an authoritative textual description of the sequence of operations to resolve the alarm/error.
  • the standard procedure can be displayed on the mobile device.
  • feedback can be provided by an operator who has received the alarm on his mobile terminal and has managed to resolve the alarm/error according to the specified steps.
  • the feedback may include information about the actual error that was to be corrected and/or information about how the alarm/error was resolved. This feedback can be provided to monitoring for further analysis.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • General Factory Administration (AREA)

Abstract

L'invention concerne un procédé de surveillance de consommateurs multimédia (2) dans une ligne de remplissage, comprenant au moins une machine de manipulation de récipients, le procédé comprenant une surveillance d'un consommateur multimédia (2) d'une machine de manipulation de récipients en fonction d'au moins deux états de fonctionnement différents (7, 8, 9, 10, 11, 12, 20, 21, 22) de la machine de manipulation de récipients, et une détermination de valeurs de seuil de la consommation multimédia (2) pour les au moins deux états de fonctionnement différents (7, 8, 9, 10, 11, 12, 20, 21, 22). L'invention concerne également un dispositif pour la mise en œuvre du procédé.
PCT/EP2023/071532 2022-09-09 2023-08-03 Procédé de surveillance de consommateurs multimédia dans une ligne de remplissage et dispositif pour la mise en œuvre du procédé WO2024052016A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102022122903.3 2022-09-09
DE102022122903.3A DE102022122903A1 (de) 2022-09-09 2022-09-09 Verfahren zur Überwachung von Medienverbräuchen in einer Abfülllinie und Vorrichtung zum Ausführen des Verfahrens

Publications (1)

Publication Number Publication Date
WO2024052016A1 true WO2024052016A1 (fr) 2024-03-14

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PCT/EP2023/071532 WO2024052016A1 (fr) 2022-09-09 2023-08-03 Procédé de surveillance de consommateurs multimédia dans une ligne de remplissage et dispositif pour la mise en œuvre du procédé

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DE (1) DE102022122903A1 (fr)
WO (1) WO2024052016A1 (fr)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2650739A1 (fr) * 2012-04-13 2013-10-16 Krones AG Procédé et dispositif destinés à lýoptimisation d'un processus de production
EP2650743A1 (fr) 2012-04-13 2013-10-16 Krones AG Données d'énergie et de fluide par rapport à l'état de la machine
DE102012112369A1 (de) * 2012-12-17 2014-06-18 Krones Ag Verfahren zur Ermittlung einer Ressourceneffizienz einer Anlage zum Herstellen von Getränkebehältnissen

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102009017959B4 (de) 2009-04-20 2019-10-31 Limón GmbH Verfahren und Vorrichtung zur Beurteilung der Energieeffizienz einer Industrieanlage
DE102014219771A1 (de) 2014-09-30 2016-03-31 Siemens Aktiengesellschaft Verfahren zum Ermitteln des Energiebedarfs einer Produktionsmaschine oder eines aus mehreren Produktionsmaschinen bestehenden Produktionssystems sowie zur Durchführung des Verfahrens geeignetes Messgerät
JP6059375B1 (ja) 2016-02-09 2017-01-11 ファナック株式会社 生産制御システムおよび統合生産制御システム

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2650739A1 (fr) * 2012-04-13 2013-10-16 Krones AG Procédé et dispositif destinés à lýoptimisation d'un processus de production
EP2650743A1 (fr) 2012-04-13 2013-10-16 Krones AG Données d'énergie et de fluide par rapport à l'état de la machine
DE102012112369A1 (de) * 2012-12-17 2014-06-18 Krones Ag Verfahren zur Ermittlung einer Ressourceneffizienz einer Anlage zum Herstellen von Getränkebehältnissen

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