EP3689611A2 - Procédé de fonctionnement d'une machine d'impression - Google Patents
Procédé de fonctionnement d'une machine d'impression Download PDFInfo
- Publication number
- EP3689611A2 EP3689611A2 EP19209614.7A EP19209614A EP3689611A2 EP 3689611 A2 EP3689611 A2 EP 3689611A2 EP 19209614 A EP19209614 A EP 19209614A EP 3689611 A2 EP3689611 A2 EP 3689611A2
- Authority
- EP
- European Patent Office
- Prior art keywords
- printing press
- data
- automatic
- analysis
- operating
- 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.)
- Granted
Links
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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 must be operated as efficiently as possible in a printing house. 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 on the printing press in order to take 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, with the aid of which failures and malfunctions on a printing press can be reduced simply and reliably.
- the present invention is based on the object of creating a novel method for operating a printing press.
- This object is achieved by a method for operating a printing press according to claim 1.
- 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. Automatic storage of the collected signal data of the printing press. Automatic collection of operating data from the printing press. Automatic storage of the collected operating data of the printing press. Automatic merging of the stored signal data of the printing press and the stored operating data. Automatic assignment of the merged signal data to the operating data. Automatic analysis of the data assigned to each other to recognize patterns. Automatic derivation of rules from patterns recognized in the course of data analysis. Automatic prediction of events on the press using the derived rules. Automatic visualization of the predicted events.
- the above steps of the method according to the invention can be used to predict failures and malfunctions on a printing press. This enables a printing press to be operated more effectively and productively. Impending failures and malfunctions can be responded to in good time, for example to carry out maintenance work between two print jobs.
- the method further comprises the following steps: Automatic collection of maintenance and service data of the printing press. Automatic storage of the maintenance and service data of the printing press. Automatic merging of the stored maintenance and service data with the stored signal data and stored operating data. Automatic assignment of the merged maintenance and service data to the merged signal data and to the operating data. This enables 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 possible malfunctions and failures on the printing press can be predicted, the execution of maintenance work and service work can also be made more efficient, since maintenance work and service work in the sense of a past Expert systems can be used.
- the mutually associated data is automatically analyzed to identify patterns via 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 comprises the recognition of patterns parameterizing an actually arrived error state and assigning a sensory fingerprint of the error state. This can further improve the analysis of the merged and associated data.
- 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 to assess the effectiveness of the operation of the printing press and / or to predict a change in the operation of the printing press .
- events on the printing press can be advantageously predicted during the operation of the printing press, in particular failures or malfunctions of the printing press. It is possible to react in good time to such upcoming events in order to avoid an actual failure or an actual malfunction 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 printing press.
- Such a printing press serves for printing on a printing material in the printing units of the printing press. It is important to have a printing press to operate as efficiently as possible with high productivity, in particular faults and failures when printing on the printing material, i.e. when processing a print job, should be avoided. Rather, there is a need to predict failures and malfunctions on the printing press and thus trigger maintenance and service work in good time in order to avoid an actual failure of the printing press.
- signal data of the printing press data from all data sources that can be connected on the data side are collected and stored in the printing press, in particular actual values and target values of regulating and control devices, and / or states and events in the printing press, and / or measured values from sensors, such as from Light barriers, web break monitors, operation counters, vibration sensors, temperature sensors, cameras, pressure sensors, and / or control data from actuators, such as drives, initiators and valves. All these signal data, which occur on the printing press during the printing operation, are automatically collected in accordance with block 10 and automatically stored in accordance with block 13, in particular in a database.
- Block 11 visualizes the automatic collection of operating data of the printing press and block 14 the automatic storage of the collected operating data, in particular in a database.
- data on the use of the printing press which result from a production planning and a production process, are collected and stored, in particular a time occupancy of the printing press with print jobs, and / or a production process of the printing press, and / or 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 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 a central database in particular.
- the signal data of the printing press is then automatically assigned to the operating data in a block 17.
- the automatic assignment can take place, for example, via a time signature or time stamp of the signal data and the operating data.
- the automatically assigned data are then subjected to an automatic analysis, specifically in block 18 of FIG Fig. 1 .
- the automatically associated data are preferably analyzed via 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.
- Such analysis methods can in particular be based on neural networks and automatically recognize patterns, anomalies or the like in the data assigned to one another.
- the analysis of the data assigned to one another in block 18 can furthermore comprise an automatic parameterization of a real error state and the storage of a significant, sensory fingerprint of the error state. If an error state is recognized on the basis of the operating data, the corresponding signal data and further 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 in 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 fulfilled and at least one defined condition for defined operating data is still fulfilled, a defined failure or a defined fault is likely or is unlikely.
- events on the printing press are automatically predicted, for which purpose the derived rules of block 19 are applied to the constantly emerging live stream of all detectable and evaluable 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 the operating data 11 can also be supplied to the block 20.
- the predicted events are automatically visualized, in particular for the operator of the printing press on a printing press control center and / or for the manufacturer of the printing press by transmitting the events via the Internet.
- Fig. 1 shows that in the preferred embodiment not only the signal data collected and stored in blocks 10 and 13 and operating data collected and stored in blocks 11 and 14 are combined in block 16, but also maintenance and service data automatically collected in block 12, which are automatically saved in block 15.
- the maintenance and service data are then combined with the signal data and operating data in block 16, the maintenance and service data then being assigned to the signal data and the operating data in block 17.
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Inking, Control Or Cleaning Of Printing Machines (AREA)
- Rotary Presses (AREA)
- Control Of Electric Motors In General (AREA)
- Accessory Devices And Overall Control Thereof (AREA)
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)
| Publication Number | Publication Date |
|---|---|
| EP3689611A2 true EP3689611A2 (fr) | 2020-08-05 |
| EP3689611A3 EP3689611A3 (fr) | 2020-10-21 |
| EP3689611B1 EP3689611B1 (fr) | 2023-01-11 |
Family
ID=68609904
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP19209614.7A Active EP3689611B1 (fr) | 2018-12-14 | 2019-11-18 | Procédé de fonctionnement d'une machine d'impression |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP3689611B1 (fr) |
| DE (1) | DE102018132283A1 (fr) |
| ES (1) | ES2937107T3 (fr) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102021105260B3 (de) | 2021-03-04 | 2022-08-25 | Syntegon Technology Gmbh | System zur Erfassung von manuellen Eingriffen in eine automatisierte Produktionsumgebung |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
-
2018
- 2018-12-14 DE DE102018132283.6A patent/DE102018132283A1/de not_active Withdrawn
-
2019
- 2019-11-18 EP EP19209614.7A patent/EP3689611B1/fr active Active
- 2019-11-18 ES ES19209614T patent/ES2937107T3/es active Active
Also Published As
| Publication number | Publication date |
|---|---|
| ES2937107T3 (es) | 2023-03-24 |
| DE102018132283A1 (de) | 2020-06-18 |
| EP3689611A3 (fr) | 2020-10-21 |
| EP3689611B1 (fr) | 2023-01-11 |
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