EP3689611B1 - Procédé de fonctionnement d'une machine d'impression - Google Patents

Procédé de fonctionnement d'une machine d'impression Download PDF

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Publication number
EP3689611B1
EP3689611B1 EP19209614.7A EP19209614A EP3689611B1 EP 3689611 B1 EP3689611 B1 EP 3689611B1 EP 19209614 A EP19209614 A EP 19209614A EP 3689611 B1 EP3689611 B1 EP 3689611B1
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EP
European Patent Office
Prior art keywords
data
printing press
automatic
operating
analysis
Prior art date
Legal status (The legal status 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 status listed.)
Active
Application number
EP19209614.7A
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German (de)
English (en)
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EP3689611A3 (fr
EP3689611A2 (fr
Inventor
Anna Asam
Holger Fleischmann
Manuel Kosok
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Manroland Goss Web Systems GmbH
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Manroland Goss Web Systems GmbH
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Publication of EP3689611A2 publication Critical patent/EP3689611A2/fr
Publication of EP3689611A3 publication Critical patent/EP3689611A3/fr
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Publication of EP3689611B1 publication Critical patent/EP3689611B1/fr
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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
    • B41F—PRINTING MACHINES OR PRESSES
    • B41F33/00—Indicating, counting, warning, control or safety devices
    • B41F33/16—Programming systems for automatic control of sequence of operations
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles

Definitions

  • the invention relates to a method for operating a printing press.
  • a printing press is an investment that has to be operated as efficiently as possible in a print shop. Failures and malfunctions on the printing press, which interrupt the printing operation, impair the efficiency of the operation of the printing press. So far, it has been difficult to predict failures and malfunctions in the printing press in order to initiate measures in good time, for example between two print jobs to be processed, in order to prevent an actual failure or an actual malfunction in the printing operation. There is therefore a need for a method for operating a printing press that can be used to reduce failures and malfunctions in a printing press in a simple and reliable manner.
  • the US 9,300,823 B1 discloses the determination of a prognosis for maintenance work on a printing material conveyor line by evaluating time intervals from the printing material-detecting sensors.
  • the EP 2 993 045 A2 discloses a method for refilling an ink fountain of a printing press, refilling taking place on the basis of a characteristic curve which maps the volume of the ink supply in the ink fountain as a function of the fill level.
  • the object of the present invention is to provide a novel method for operating a printing press.
  • This object is achieved by a method for operating a printing machine according to claim 1 solved.
  • the method according to the invention for operating a printing press comprises at least the following steps: Automatic collection of signal data from the printing press, the signal data comprising a plurality of data from all data sources that can be connected on the data side in the printing press, including actual values and target values of regulating devices and control devices, and/or Conditions and events in the printing press and/or measured values from sensors such as light barriers, web break monitors, operating counters, vibration sensors, temperature sensors, cameras, pressure sensors, and/or control data from actuators such as drives, initiators and valves. Automatically save the collected signal data from the press.
  • Automatic collection of operating data of the printing press the operating data being a plurality of data about the use of the printing press resulting from production planning and a production process, comprising a chronological occupancy of the printing press, and/or the history of productions on the printing press, and/or Art of production on the printing press, and/or downtimes and malfunctions on the printing press, and/or properties of consumables used such as printing material, printing ink and dampening solution.
  • Automatic saving of the collected operating data of the printing machine Automatic merging of the stored signal data of the printing machine and the stored operating data. Automatic mapping of merged signal data to operational data. Automatically analyze the associated data to identify patterns. Automatically deriving rules from patterns identified during data analysis. Automatically predict events on the press using the derived rules. Automatically visualize the predicted events.
  • failures and malfunctions in a printing press can be predicted. This allows a printing press to be operated more effectively and productively. Imminent failures and disruptions can be reacted to in good time, for example to carry out maintenance work between two print jobs.
  • the method also includes the following steps: Automatic collection of maintenance and service data for the printing press. Automatic saving of the collected maintenance and service data of the press. Automatic merging of the saved maintenance and service data with the saved signal data and saved operating data. Automatic mapping of merged maintenance and service data to merged signal data and operational data. This allows a printing press to be operated even more efficiently. By assigning or linking the maintenance and service data with the signal data and operating data, not only can possible faults and failures on the printing press be predicted, but maintenance work and service work can also be carried out more efficiently, since maintenance work and service work that has already taken place can be referred to in the sense of a Expert system can be used.
  • the data assigned to one another are automatically analyzed to identify patterns using a data mining analysis and/or cluster analysis and/or trend line analysis and/or peer group analysis and/or association analysis and/or regression analysis and/or root cause analysis.
  • the automatic analysis of the data assigned to one another for the recognition of patterns includes parameterization of a fault state that has actually occurred and assignment of a sensory fingerprint of the fault state. This can further improve the analysis of the data that has been merged and assigned to one another.
  • the derived rules are applied to a constantly emerging live stream of data for the automatic prediction of events in order to predict error states and/or assess the effectiveness of the operation of the printing press and/or predict a change in the operation of the printing press .
  • events on the printing press can advantageously be predicted during operation of the printing press, in particular failures or faults in the printing press. Such impending events can be reacted to in good time in order to avoid an actual failure or an actual disruption during the printing of a print job. Ultimately, this can increase the productivity and effectiveness of the printing press.
  • the invention relates to a method for operating a printing press, in particular a web-fed printing press.
  • Such a printing machine is used to print a printing material in the printing units of the printing machine.
  • the present invention proposes continuously and automatically collecting and storing signal data from the printing press when operating a printing press. This is how block 10 visualizes the 1 the automatic collection of signal data from the printing machine; and block 13, the automatic storage of the collected signal data in a database.
  • a large number of data from all data sources that can be connected on the data side in the printing press are collected and stored as signal data from the printing press, including actual values and target values from regulating devices and control devices, and/or states and events in the printing press, and/or measured values from sensors , such as light barriers, web break monitors, operating counters, vibration sensors, temperature sensors, cameras, pressure sensors, and/or control data from actuators, such as drives, initiators and valves. All of these signal data that occur on the printing machine during the printing operation are automatically collected according to block 10 and automatically stored according to block 13, in particular in a database.
  • operating data of the printing press are automatically collected and stored.
  • the block 11 visualizes the automatic collection of operating data of the printing press and the block 14 the automatic storage of the collected operating data, in particular in a database.
  • a plurality of data on the use of the printing press resulting from production planning and a production process is collected and stored as the operating data of the printing press, including a time allocation of the printing press with print jobs, and/or a history of productions of the printing press, and /or the type of production of the printing press, and/or downtimes and malfunctions of the printing press, and/or properties of consumables used, such as printed substrates, printed printing inks and dampening solution used.
  • the signal data automatically collected and stored in blocks 10 and 13 and the operating data automatically collected and stored in blocks 11 and 14 are automatically combined in a block 16 .
  • This data is stored in particular in a central database.
  • the signal data of the printing press are automatically assigned to the operating data.
  • the signal data and the operating data cannot be meaningfully evaluated without such an assignment.
  • the automatic assignment can take place, for example, via a time signature or time stamp of the signal data and the operating data.
  • the data that are automatically assigned to one another are then subjected to an automatic analysis, specifically in block 18 of FIG 1 .
  • the automatic analysis of the mutually assigned data is preferably carried out using a data mining analysis and/or a cluster analysis and/or a trend line analysis and/or a peer group analysis and/or an association analysis and/or a regression analysis and/or a root cause analysis.
  • Analysis methods of this type can be based in particular on neural networks and can automatically recognize patterns, anomalies or the like in the data associated with one another.
  • the analysis of the mutually associated data in block 18 can also include automatic parameterization of an error state that has actually occurred and the storage of a significant, sensory fingerprint of the error state.
  • an error state is detected on the basis of the operating data, the corresponding signal data and other operating data can be assigned to this error state as a sensory fingerprint.
  • rules are then automatically derived in block 19 from the patterns recognized in the course of the data analysis of block 18 .
  • rules are in particular so-called if-then rules, in particular such that if at least one defined condition for signal data is met and at least one defined condition for defined operating data is also met, a defined failure or a defined fault is likely or unlikely.
  • events on the printing press are automatically predicted, for which purpose the derived rules of block 19 are applied to the constantly arising live stream of all recordable and analyzable data in order to predict error states and/or to assess the effectiveness of the operation of the printing press and/or to predict changes in the operation of the printing press, for which purpose at least one live stream of the signal data 10 is fed to the block 20 as an input variable in order to apply the rules to this signal data.
  • a live stream of operating data 11 can also be fed to block 20 in addition.
  • the predicted events are automatically visualized, in particular for the operator of the printing press on a printing press control station and/or for the manufacturer of the printing press by transmission of the events via the Internet.
  • FIG. 1 shows that in the preferred exemplary embodiment, not only the signal data collected and stored in blocks 10 and 13 and the operating data collected and stored in blocks 11 and 14 are combined in block 16, but also maintenance and service data automatically collected in a block 12, which are automatically stored in block 15.
  • the maintenance and service data are then combined with the signal data and operating data in block 16, in block 17 the maintenance and service data are assigned to the signal data and the operational data.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Inking, Control Or Cleaning Of Printing Machines (AREA)
  • Accessory Devices And Overall Control Thereof (AREA)
  • Rotary Presses (AREA)
  • Control Of Electric Motors In General (AREA)

Claims (6)

  1. Procédé d'utilisation d'une machine d'impression, comportant les étapes suivantes :
    collecte automatique de données de signaux de la machine d'impression, les données de signaux comprenant une pluralité de données de toutes les sources de données connectables au niveau des données dans la machine d'impression et englobant des valeurs réelles et des valeurs théoriques de dispositifs de réglage et de dispositifs de commande, et/ou des états et des événements dans la machine d'impression, et/ou des valeurs de mesure de capteurs comme des cellules photoélectriques, des contrôleurs de fissures de bande, des compteurs de fonctionnement, des capteurs de vibrations, des capteurs de température, des caméras, des capteurs de pression, et/ou des données de commande d'actionneurs comme des organes d'entraînement, des initiateurs et des soupapes ;
    sauvegarde automatique des données de signaux collectées de la machine d'impression,
    collecte automatique de données de fonctionnement de la machine d'impression, les données de fonctionnement comprenant une pluralité de données sur l'utilisation de la machine d'impression qui résultent d'un plan de production et d'une évolution de production, englobant une occupation temporelle de la machine d'impression, et/ou l'évolution de productions au niveau de la machine d'impression, et/ou le type de productions au niveau de la machine d'impression, et/ou les immobilisations et perturbations au niveau de la machine d'impression, et/ou les propriétés des consommables utilisés comme le support d'impression, l'encre d'impression et les agents de mouillage,
    sauvegarde automatique des données de fonctionnement collectées de la machine d'impression,
    regroupement automatique des données de signaux sauvegardées de la machine d'impression et des données de fonctionnement sauvegardées de la machine d'impression,
    association automatique des données de signaux regroupées aux données de fonctionnement de la machine d'impression,
    analyse automatique des données associées les unes aux autres pour la détection de modèles,
    dérivation automatique de règles des modèles détectés au cours de l'analyse des données,
    prédiction automatique d'événements au niveau de la machine d'impression en utilisant les règles dérivées, visualisation automatique des événements prévus.
  2. Procédé selon la revendication 1, caractérisé par les étapes suivantes :
    collecte automatique de données de maintenance et d'entretien de la machine d'impression,
    sauvegarde automatique des données de maintenance et d'entretien collectées de la machine d'impression,
    regroupement automatique des données de maintenance et d'entretien collectées et des données de fonctionnement sauvegardées,
    association automatique des données de maintenance et d'entretien collectées et des données de fonctionnement regroupées.
  3. Procédé selon la revendication 2, caractérisé en ce que les données suivantes sont collectées et sauvegardées en tant que données de maintenance et d'entretien de la machine d'impression :
    moment et/ou type et/ou événement de travaux de maintenance et d'entretien au niveau de la machine d'impression,
    échange et/ou panne et/ou degré d'usure et/ou perturbation de pièces disponibles de la machine d'impression et/ou de pièces nouvellement incorporées de la machine d'impression.
  4. Procédé selon une des revendications 1 à 3, caractérisé en ce que l'analyse automatique des données associées les unes aux autres pour la détection de modèles a lieu par une analyse de minage de données et/ou une analyse de clusters et/ou une analyse de lignes de tendances et/ou une analyse de groupe de pairs et/ou une analyse d'association et/ou une analyse de régression et/ou une analyse de cause racine.
  5. Procédé selon une des revendications 1 à 4, caractérisé en ce que l'analyse automatique des données associées les unes aux autres pour la détection de modèles englobe un paramétrage d'un état d'erreur réellement rencontré et une association d'une empreinte sensorielle de l'état d'erreur.
  6. Procédé selon une des revendications 1 à 5, caractérisé en ce que, pour la prédiction automatique d'événements, les règles dérivées sont appliquées sur un flux en direct se créant en permanence de données pour prévoir des états d'erreur et/ou pour évaluer l'efficacité du fonctionnement de la machine d'impression et/ou pour prévoir une modification du fonctionnement de la machine d'impression.
EP19209614.7A 2018-12-14 2019-11-18 Procédé de fonctionnement d'une machine d'impression Active EP3689611B1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102018132283.6A DE102018132283A1 (de) 2018-12-14 2018-12-14 Verfahren zum Betreiben einer Druckmaschine

Publications (3)

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EP3689611A2 EP3689611A2 (fr) 2020-08-05
EP3689611A3 EP3689611A3 (fr) 2020-10-21
EP3689611B1 true EP3689611B1 (fr) 2023-01-11

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EP19209614.7A Active EP3689611B1 (fr) 2018-12-14 2019-11-18 Procédé de fonctionnement d'une machine d'impression

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EP (1) EP3689611B1 (fr)
DE (1) DE102018132283A1 (fr)
ES (1) ES2937107T3 (fr)

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* Cited by examiner, † Cited by third party
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DE102021105260B3 (de) 2021-03-04 2022-08-25 Syntegon Technology Gmbh System zur Erfassung von manuellen Eingriffen in eine automatisierte Produktionsumgebung

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* Cited by examiner, † Cited by third party
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DE102014013226A1 (de) * 2014-09-05 2016-03-10 Heidelberger Druckmaschinen Ag Verfahren zum Zuführen von Farbe in einer Druckmaschine
JP2016080866A (ja) * 2014-10-16 2016-05-16 富士ゼロックス株式会社 保守必要性推定装置及びプログラム

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EP3689611A3 (fr) 2020-10-21
ES2937107T3 (es) 2023-03-24
DE102018132283A1 (de) 2020-06-18
EP3689611A2 (fr) 2020-08-05

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