Method and device for detecting a tear in a fibrous web, industrial equipment and computer program product

Abstract

The invention relates to a method for monitoring an industrial plant (100), to a computer program product, and to an industrial plant (100). The industrial plant (100) comprises two parts (100a, 100b). In a first part (100a) of the industrial plant (100), in particular a paper machine, first parameters (x1,...,xn) are provided. The industrial plant (100), particularly designed as a paper machine, is used to produce and / or process a fibrous material web (1). Second parameters (y1,...,yn) are provided in a second part (100b). The parameters (x1,...,xn,y1,...,yn) are stored, preferentially as time series (16a,...,16n,17a,...,17n). In the case of a web break in the second part (100b), the second parameters (y1,...,yn) are first analyzed for a second anomaly. If no second anomaly can be detected, the first parameters (x1,...,xn) are analyzed for a first anomaly. During the analysis, the parameters (x1,...xn, y1,...,yn) which were stored in a time range before the web break (F) are preferably examined. If a first or second anomaly is detected, these, and optionally measures to avoid such web breaks (F), are displayed to the user. Optionally, the first parameters x1,...,xn and / or the second parameters y1,...,yn can be set so as to avoid future web breaks F.

Description

[0001] The invention relates to a method and a device for detecting a fiber web break. The invention further relates to a computer program and an industrial plant.

[0002] An industrial plant for producing a fibrous web is, in particular, a paper machine. A paper machine comprises a first part, the wet section, and a second part, the dry section.

[0003] In the wet section, a fiber-containing solution or suspension is sprayed onto a screen. The resulting layer is pressed by a press section and conveyed to a drying section via a conveyor belt. The drying section is primarily used to dry the fiber-containing web provided by the wet section. During drying and subsequent winding of the fiber-containing web, occasional breaks in the fiber web sometimes occur.

[0004] Web breaks typically lead to a paper machine shutdown. Such a shutdown costs the paper machine operator a significant amount of money.

[0005] For example, US 2002 / 038197 A1 deals with a system and a method for generating a breakage time prediction for a paper web in a paper machine. For example, EP 1031658 A2 deals with a web break monitoring system in a paper machine.

[0006] Therefore, one of the aims of the invention is to avoid downtime of an industrial plant as much as possible.

[0007] In particular, the invention aims to prevent imminent track breaks.

[0008] Furthermore, one aspect of the invention is to identify a possible cause in the event of a railway line failure.

[0009] The problem is solved by a method according to claim 1. The problem is further solved by a device according to claim 13. In addition, the problem is solved by a computer program product according to claim 13, by a device according to claim 14, and by an industrial plant according to claim 15.

[0010] Advantageous embodiments and further developments of the invention are the subject of the dependent claims.

[0011] The invention is based on the insight that track breakage mainly occurs in the second part of the industrial plant, especially in the drying section.

[0012] As a rule, a malfunction of a drive leads to a locally increased web tension of the material web and thus possibly to a web break of the fiber-containing material web in the second part of the industrial plant.

[0013] Alternatively or additionally, malfunctions in the first part of the industrial plant, especially in the wet section, can at least promote web breakage of the fiber-containing web.

[0014] Advantageously, initial parameters are determined and stored using sensors and / or encoders in the first part of the industrial plant. Furthermore, additional parameters are advantageously determined and stored using sensors and / or encoders in the second part of the industrial plant. Storage is advantageously performed in the form of a time series. Preferably, the time series or the initial and / or additional parameters are stored on a data storage device of a computing unit or in a cloud.

[0015] The first and second parameters are preferably stored as a function of time, in particular as time series. Advantageously, the time series are identified by timestamps, preferably by the time of determination.

[0016] Preferably, time series from first parameters are examined for a first anomaly and time series from second parameters are examined for a second anomaly.

[0017] An analysis of the first parameters and / or the second parameters is preferably performed using the already stored first or second parameters. Preferably, those parameters are examined that were recorded within a time period prior to the track demolition. Such a time period can be between one minute and one hour long.

[0018] In the event of a web break, recordings of the drive's rotational speeds and torques are preferably analyzed for a second anomaly. This analysis is advantageously performed by calculating the web tension, for example, by analyzing the speed differences of individual drives. If a second anomaly is detected, the user can determine the cause of the web break and, if necessary, adjust the second set of parameters for the corresponding drives.

[0019] Preferably, such an adjustment is made automatically. The adjustment is preferably made by modifying the control or regulation of the drives in such a way as to avoid high web tensions of the fiber-containing material web.

[0020] If an analysis of the rotational speeds and / or torques reveals no malfunction of a drive, a malfunction in the wet section of the paper machine is likely. In this case, the initial parameters determined there are analyzed.

[0021] The first parameters to be considered are the temperature of a fiber-containing solution, the concentration of fibers in the solution, the concentrations of additives, or the pH value of the respective solution. In addition, a further parameter can be the condition of a nozzle, the pressure in the line supplying the solution to the nozzle, and / or its fluctuations.

[0022] Secondary parameters include the rotational speed and / or torque of the respective drive. Additionally, the thickness of the fiber-containing web can be a second parameter. Furthermore, settings of a control system, such as the integral (I) component, proportional (P) component, and / or derivative (D) component of a PID controller, can be the first or second parameter. Finally, a measured web tension at a predefined position in the second part can be a second parameter.

[0023] Using algorithms, preferably based on artificial intelligence, anomalies in the form of a pattern can be detected in the respective time series. An anomaly can thus indicate a weakness in the fiber-containing web supplied by the first part of the industrial plant.

[0024] Upon detection of such an initial anomaly in the first part of the industrial plant, the second parameters in the second part of the industrial plant can be adjusted in such a way as to prevent a web break of the supposedly defective fiber-containing web.

[0025] In the method for monitoring an industrial plant for web breakage of a fiber-containing web, the industrial plant serves for the production and / or processing of the fiber-containing web, wherein the industrial plant comprises a first part, in particular a wet part, and a second part, in particular a dry part, wherein the method comprises the following steps: Determination and storage of the first parameters of the first part and the second parameters of the second part; analysis of the second parameters for a second anomaly; if it is determined that there is no second anomaly in the second parameters, an analysis of the first parameters for a first anomaly is carried out; if the first anomaly is detected in the first parameters, the first anomaly is displayed to a user.

[0026] An anomaly is preferably understood as a deviation of the respective parameter beyond a predefined tolerance. Furthermore, an anomaly can be understood as a change in the difference between any two parameters. Finally, a rapid increase in the first and / or the second parameter can constitute an anomaly.

[0027] A fibrous web is, in particular, a paper web or a cardboard web. The fibers are, in particular, cellulose fibers.

[0028] In the first part of the industrial plant, the fiber-containing web is provided, preferably by spraying a fiber-containing solution onto a screen. Advantageously, the fibers on the screen are further processed using a press section. The screen is preferably designed as a conveyor belt.

[0029] The fiber-containing web is advantageously supplied from the first part of the industrial plant to the second part of the industrial plant.

[0030] In the second part of the industrial plant, the fiber-containing web is further processed. In particular, the fiber-containing web is dried, with the second part of the industrial plant being designed as a drying section.

[0031] The second part may also include additional components such as a winder.

[0032] In the second part of the industrial system, the fiber-containing web is guided over rollers and dried using these rollers. Each roller is connected to and driven by a drive. The drive operates at a specific speed and torque. The speed and / or torque of each drive can be defined and stored as secondary parameters. The speed of each drive can be determined using an encoder, which is assigned to the respective drive. The torque can be determined using a current sensor, which is also assigned to the respective encoder.

[0033] Secondary parameters include, in particular, the respective rotational speed and / or torque of the respective drive. Furthermore, a second parameter can be the web tension of the fiber-containing material web between two rollers, with each roller being linked to its respective drive.

[0034] The first and / or second parameter is preferably stored in a data memory of a computing unit. Advantageously, the first and / or second parameter is stored as a function of time, particularly in the form of a time series.

[0035] Furthermore, it is preferred that a time-dependent trend of the respective first and / or second parameter is displayed. Advantageously, the difference or sum of individual first and / or second parameters can also be displayed and / or stored.

[0036] In the event of a web break, it can be analyzed whether increased web tension has occurred between two rolls of the fiber-containing material. Web tension can be determined by measuring the difference in rotational speeds of adjacent rolls.

[0037] One reason for a web break can be a defective bearing on the respective roller or an incorrectly adjusted control device. Additionally, contamination of a roller can lead to a web break. Contamination of the respective roller can also be a second contributing factor.

[0038] If there is increased web tension in the area where the web break occurred, further analysis can determine the cause of the anomaly. Furthermore, the control system of the respective drive can be adjusted for subsequent operation to minimize the risk of web breakage.

[0039] If, on the other hand, no second anomaly is detected during a track demolition, such a result is advantageously stored and / or displayed to the user.

[0040] It is advantageous to conduct a further analysis of the initial parameters to identify any initial anomalies.

[0041] First parameters relate to and / or advantageously describe the processes in the first part of the industrial plant.

[0042] The first parameters serve as an example to describe a wet part of a paper machine.

[0043] An initial anomaly can be an elevated temperature of the fiber-containing solution, an unusual fiber orientation on the screen section, a partially or completely blocked nozzle, or a malfunctioning pump. An initial anomaly can be identified by a deviation of any one parameter beyond its tolerance limit. Furthermore, an initial anomaly can be an unfavorable fiber orientation or distribution within the fiber-containing web.

[0044] Upon detection of an initial anomaly, it can be displayed to the user. During maintenance of the second part of the industrial plant, where the track breakage occurred, a possible source of the error can be identified based on the analysis of the initial parameters, and the error can be rectified.

[0045] Furthermore, controlling the first part of the industrial plant can be used to try to avoid the respective anomaly. For example, the pressure or temperature of the fiber-containing solution can be adjusted.

[0046] The invention advantageously enables complete monitoring of the industrial plant. Currently, when a track breaks, typically only the second part of the industrial plant is examined. The invention allows the first part to also be examined, thus enabling the detection of a more widespread malfunction within the industrial plant. Avoiding such malfunctions leads to the prevention of track breaks and consequently to improved operational stability of the industrial plant.

[0047] In an advantageous embodiment of the invention, an analysis of the first parameters and / or the second parameters is carried out after a path break.

[0048] A web break is specifically a tear in the fiber-containing web of material. Such web breaks often occur in the second part of the industrial plant.

[0049] Preferably, the analysis of the first and / or second parameters is carried out for a time period extending before the track break-up.

[0050] It is advantageous to analyze the first and / or second parameters after a track break in order to identify which deviations could have led to the track break.

[0051] In an advantageous embodiment of the invention, when a first anomaly or second anomaly of the second parameters is detected, the second parameters are changed in such a way that the web tension of the fiber-containing web is reduced.

[0052] The advantageous embodiments of the invention are designed in particular as operating methods, especially as operating methods of a paper machine.

[0053] An operational procedure is characterized in particular by an intervention in the operational process of the industrial plant, whereas a monitoring procedure merely detects and / or indicates a malfunction.

[0054] Advantageously, when a first or second anomaly is detected, the respective drive is controlled or regulated so that the web tension of the fiber-containing web is reduced at least in certain areas.

[0055] Advantageously, if a second anomaly is detected, the second set of parameters can be adjusted to prevent web breakage of the fiber-containing web in the second section in the future. This design takes into account the fact that changes in the first section of the industrial plant only become effective in the second section at a later time.

[0056] If the second anomaly is present, it is advantageous to examine the first parameters for a first anomaly.

[0057] Furthermore, the processes in the first part of the industrial plant can be adjusted to be particularly advantageous, making web breakage less likely. For example, the material application rate can be increased for a specific period to improve the stability of the fiber-containing web.

[0058] By changing the second parameters, a renewed web break can be advantageously avoided, especially if the quality of the fiber-containing web provided by the first part of the industrial plant cannot be immediately provided with higher stability.

[0059] In a further advantageous embodiment of the invention, when a first anomaly of the first parameters is detected, the first parameters are changed in such a way that a maximum voltage assumes a sufficiently high value so that no path breakage occurs if the second part functions properly.

[0060] The first parameters are preferably modified in such a way as to reinforce the fiber-containing web. This reinforcement of the fiber-containing web can remain in place until a first and / or second anomaly no longer occurs.

[0061] The maximum stress is preferably the web stress that the fiber-containing web can withstand without web breakage.

[0062] The maximum stress can be determined experimentally and recorded. The maximum stress is generally dependent on the type and construction of the fiber-containing web. Therefore, it is preferable to determine the type and construction of the fiber-containing web and to provide the corresponding maximum stress to identify the anomaly.

[0063] By adjusting the first parameters, at least one repetition of the web tension can be effectively avoided.

[0064] In particular, such a measure is advantageous until the scheduled maintenance of the first part of the industrial plant, as a maintenance that has already been planned does not have to be rescheduled earlier in order to avoid a track demolition.

[0065] In a further advantageous embodiment of the invention, the analysis of the second parameters comprises the following steps: Calculation of the web tension of the material web from the second parameters, comparison of the web tension with a maximum tension, whereby the second anomaly occurs when the web tension exceeds the maximum tension.

[0066] The web tension can be calculated from the difference between two torques and / or two rotational speeds of adjacent drives.

[0067] Furthermore, the web tension can be directly determined by a web tension sensor.

[0068] Alternatively or additionally, the web tension can be determined by imposing an oscillation and determining the respective natural frequency of the oscillation.

[0069] The web tensions between multiple drives, measured during operation of the industrial plant, are preferably recorded. This recording is advantageously done as a time series or as a function of time. The web tension is advantageously a second parameter.

[0070] A comparison of the calculated and / or measured web voltage with the maximum voltage is preferably carried out using a computing unit and / or a control device.

[0071] In a further advantageous embodiment of the invention, the maximum voltage is calculated based on the first parameters.

[0072] The maximum stress is generally dependent on the properties of the fiber-containing web. Therefore, the maximum stress can be calculated from the initial parameters, particularly using a semi-empirical model. Experimentally determined factors can support the calculation.

[0073] The maximum voltage is preferably used to decide whether a second anomaly exists in the second parameters.

[0074] By calculating the maximum stress based on the first parameters, it can be advantageously determined whether a second anomaly has led to the web breakage of the fiber-containing material web.

[0075] By calculating the maximum voltage from the first parameters, a particularly reliable determination of the second anomaly can be made.

[0076] In a further advantageous embodiment of the invention, the first parameters are in particular: a temperature, a chemical composition of a fiber-containing solution, an average orientation of the fibers relative to each other, where the second parameters in particular: These include the temperature of the fiber-containing web, a measured web tension, a torque of a respective drive, and a rotational speed of the respective drive.

[0077] The track tension is preferably determined using a sensor, in particular a tension measuring cell.

[0078] By assigning first parameters to the first part of the industrial plant and second parameters to the second part of the industrial plant, the evaluation and / or the detection of anomalies can be carried out particularly efficiently.

[0079] In a further advantageous embodiment of the invention, the respective first parameter and / or the respective second parameter is stored as a time series.

[0080] A time series is advantageously the temporal progression of the respective parameter as a function of time.

[0081] Preferably, the time of day is chosen.

[0082] It is advantageous to synchronize the time series using timestamps. The timestamps are preferably defined by the time.

[0083] By storing the parameters as time series, a comparison of parameters with each other can be carried out easily and reliably.

[0084] In a further advantageous embodiment of the invention, the at least first parameter and / or the at least one second parameter are stored as a function of time, wherein the first parameters and / or the second parameters are analyzed using an algorithm based on artificial intelligence.

[0085] The first and / or second parameters are advantageously stored in the form of a time series or as a function of time. Time refers specifically to the operating time of the industrial plant.

[0086] An analysis of the first and / or second parameters as a function of time can also take into account a change in the respective parameter over time.

[0087] An analysis is preferably carried out using a suitable algorithm, in particular a supervised or unsupervised machine learning algorithm.

[0088] In a further advantageous embodiment of the invention, upon detection of the first anomaly and / or the second anomaly, a possibility for avoiding the respective anomaly is indicated.

[0089] The notification is preferably sent to the user. For example, if a blocked nozzle is detected, it may be suggested to briefly increase the pressure and / or the temperature of the fiber-containing solution.

[0090] Furthermore, at high web tension, web breakage of the fiber-containing material web can be automatically avoided by adjusting the respective speed and / or torque of the respective drive.

[0091] In a further advantageous embodiment of the invention, the first parameters and / or the second parameters are stored in a data storage device, in particular a cloud, each as a function of time.

[0092] Data is preferably stored as time series, whereby the time series can advantageously be related via common timestamps.

[0093] The time can serve as an example of a timestamp.

[0094] The first parameters and / or the second parameters are preferably stored on a decentralized server, especially in a cloud.

[0095] Preferably, the analysis of the presence of a first and / or second anomaly is carried out using the computing unit, wherein the computing unit is preferably connected to the cloud.

[0096] The calculation of whether a first or a second anomaly is present is preferably carried out using a computer program running on the computing unit.

[0097] Storing the first and second parameters in a cloud has the advantage that the computing capacity, which is usually required for controlling and regulating the industrial plant, is not reduced.

[0098] In a further advantageous embodiment of the invention, the stored first parameters and / or the stored second parameters serve to adapt the algorithm, which is based on artificial intelligence.

[0099] Adapting the algorithm refers in particular to training a neural network or other algorithm.

[0100] Preferably, data from time periods detected shortly before a track collapse are used to adapt the algorithm.

[0101] In this example as well, the use of machine learning algorithms is advantageous. For example, the use of a random tree-based algorithm is beneficial.

[0102] In a further advantageous embodiment of the invention, in the event of a path break, the first parameters and / or the second parameters are analyzed in a time range preceding the path break in order to detect a pattern, wherein a warning signal is sent to the user if such a pattern subsequently occurs.

[0103] A pattern can be a typical deviation in one parameter from an average value, or a rapid increase in the difference between two second parameters.

[0104] Computer program product for carrying out a method according to one of the preceding claims, insofar as the computer program product is executed on a computing unit.

[0105] The computer program is preferably designed as an application (APP) to run on a decentralized server.

[0106] The computer program is preferably stored on a computer-readable medium. Preferably, the computer program is loaded into the main memory of a processing unit and executed from there by at least one CPU.

[0107] Preferably, the computer program product is executed on a decentralized server. Preferably, the computer program product is executed in the cloud.

[0108] The device for monitoring an industrial plant includes: an interface for receiving first parameters and / or second parameters, a computing unit for analyzing first parameters for a first anomaly and / or second parameters for a second anomaly, Optionally, a display for interaction with a user, and an interface for providing settings for the industrial plant, wherein the device is configured to carry out a procedure described herein.

[0109] Preferably, the device is connected to at least one sensor and / or at least one encoder. The respective sensor and / or encoder advantageously serve to provide first parameters or second parameters.

[0110] The device preferably timestamps the first or second parameter provided and stores the first and / or second parameter.

[0111] The device is preferably connected to a data storage device.

[0112] The industrial plant is specifically designed as a paper machine. The industrial plant includes a device as described above.

[0113] In the industrial plant, the first part is preferably designed as a wet section. The wet section advantageously comprises a screen section and a press section. Furthermore, the wet section includes a device for supplying and / or applying a fiber-containing solution to the screen section.

[0114] The second part of the industrial plant is preferably designed as a drying section. The drying section preferably serves to dry the fiber-containing web of material that has been provided by the first part of the industrial plant.

[0115] The drying section advantageously comprises a number of rollers over which the fibrous web is guided. The rollers are usually heated and serve to dry the fibrous web.

[0116] Each roller can be driven by a drive. Each drive has a specific rotational speed and torque during operation.

[0117] The torque and / or speed are preferably provided by the power supply of the respective drive and / or with the aid of a sensor.

[0118] Preferably, the industrial plant includes a control system for the first part and / or the second part of the plant. The control system is preferably designed as a central control unit.

[0119] The invention is further described and explained below with reference to the figures. The embodiments shown in the figures are merely exemplary and do not limit the invention in any way.

[0120] They show FIG 1 an industrial plant, FIG 2 sensors, encoders and time series, and FIG 3 a possible method.

[0121] FIG 1 Figure 1 shows an industrial plant 100. The industrial plant comprises a first part 100a and a second part 100b. The first part 100a is designed as a wet section. The first part includes a vessel 5. The vessel 5 serves to supply a fiber-containing solution. The fiber-containing solution is supplied via pipes 6 to a plurality of nozzles D1, D2, D3. Each nozzle D1, D2, D3 serves to apply the fiber-containing solution to a screen section 2. The screen section serves to separate the fibers from the solution. The fibers are supplied to a press section 3 in the form of a fiber mat. The press section 3 forms the fiber-containing web 1. The fiber-containing web is supplied to the second part of the industrial plant 100b.

[0122] The second part 100b is designed as a dry section 4. The dry section comprises a plurality of rollers, each roller being coupled to a drive M.

[0123] At least some of the drives M are coupled to a sensor G1,...,G4. Each sensor G1, ..., G4 serves to detect the respective rotational speed of the respective drive M.

[0124] The fiber-containing web 1 passes through the drying section and is wound onto a reel 15. A control unit SE is used to control the respective drive M. The control unit SE serves to control or regulate the respective torque and / or speed of the respective drive M.

[0125] The control unit preferably includes a control unit RE. The control unit RE serves to control first parameters x1,...,xn and / or second parameters y1,...,yn.

[0126] A first parameter x1,...,xn can be the opening of the respective nozzle D1, D2, D3, a temperature of the fiber-containing solution or the pressure of the fiber-containing solution in the tubes 6.

[0127] A second parameter y1,...,yn is preferably a temperature in the drying section 4, a torque of a drive M or a speed of a drive M.

[0128] Example of the operation of industrial plant 100: The fiber-containing solution is sprayed onto a fiber mat through the respective nozzles D1, D2, and D3. The fiber mat with the fibers is fed to a press section 3. The press section 3 serves to form the fiber-containing web 1. The fiber-containing web is then dried in the drying section 4. In the drying section 4, the fiber-containing web 1 runs over the majority of the rollers and is dried further. In the drying section, a web break can occur in the fiber-containing web 1 if it is subjected to a high tensile load, i.e., a high web tension B.

[0129] In the event of a railway line demolition, the industrial plant is usually stopped and the fault is rectified manually.

[0130] To avoid further track demolitions, the following exemplary procedure (see FIG 3 ) a likely reason for the railway demolition was identified.

[0131] FIG 2 The diagram shows sensors S1,...Sn, encoders G1,...,Gn, and time series 16a,...,16n, 17a,...17n. Sensors S1,...,Sn preferably provide first parameters x1,...,xn. Encoders G1,...,Gn are preferably each assigned to a drive M and / or a roller. Each encoder G1,...,Gn typically provides second parameters y1,...,yn.

[0132] The first parameters x1,...,xn and the second parameters y1,...,yn are stored as functions of time t. Preferably, the parameters x1,...,xn, y1,...,yn are stored in time series 16a,...16n (for the first parameters) and 17a,...,17n (for the second parameters).

[0133] Data is preferably stored in a data storage system. This data storage system is preferably cloud-based.

[0134] FIG 3 This shows a possible procedure. The possible procedure comprises a plurality of process steps v1,...,v8, as detailed below.

[0135] In a first process step v1, the first parameters x1,...,xn and / or second parameters y1,...,yn of sensors S1,...,Sn and / or encoders G1,...,Gn are determined and stored. Storage is preferably performed by retrieving this data in a processing unit RE. The processing unit RE can be configured as an edge device and / or as a decentralized server, particularly in the cloud.

[0136] The parameters x1,...xn,y1,...,yn are preferably stored as time series 16a,...16n, 17a,...,17n. A timestamp, such as the time, is advantageously used to synchronize the individual time series 16a,...,17n.

[0137] If a track break F is detected, the second process step V2 and, advantageously, the further process steps v3,...,v8 are carried out.

[0138] In the second process step v2, the second parameters y1,...,yn are analyzed. Here, the web tension is preferably provided from the rotational speeds and / or the torques of the respective drive M.

[0139] In a third process step v3, the web tension provided at least once is examined to determine whether a maximum web tension B-max has been exceeded. If the maximum web tension B-max has been exceeded, the reason for the web breakage F is likely in the dry section.

[0140] In a fourth process step, v4, the exceedance of the maximum web stress B-max is indicated to the user. Furthermore, the user can be shown options for measures that can be taken to prevent web breaks F in the future.

[0141] Alternatively or additionally, in the fourth process step v4, the respective drives M can be controlled or regulated in such a way that such a path break F no longer occurs.

[0142] If the analysis of the second parameters reveals that no second anomaly has occurred in the second parameters, then in a fifth procedure step v5 an analysis of the first parameters x1,...,xn is performed. Preferably, in the fifth procedure step v5, the first parameters x1,...,xn are checked for a first anomaly.

[0143] Upon detection of an initial anomaly, it can be displayed to the user. Advantageously, the user can be shown measures to eliminate the anomaly. For example, such measures could include cleaning nozzles D1, D2, and D3. Alternatively, initial parameters x1,...,xn can be modified to resolve the initial anomaly. This could involve, for example, a brief temperature increase or a brief pressure increase.

[0144] Alternatively or additionally, if the first anomaly is present, the second parameters y1,...,yn can be adjusted in a seventh process step v7 so that a second anomaly is unlikely to occur. For example, the rotational speeds and / or torques of the respective drives are adjusted such that the web tension B is reduced, at least in certain areas.

[0145] In an eighth process step v8, a manual analysis of the first parameters x1,...,xn and / or the second parameters y1,...,yn can also be performed. This analysis is carried out using artificial intelligence as an example. Such an analysis can advantageously identify patterns that occur before a track break. This analysis can identify the causes in industrial plant 100, thereby achieving greater operational reliability.

[0146] In summary, the invention relates to a method for monitoring an industrial plant 100, a computer program product, and an industrial plant 100. The industrial plant 100 comprises two parts 100a and 100b. The industrial plant 100, in particular configured as a paper machine, serves for the production and / or processing of a fiber-containing web 1. In a first part 100a of the industrial plant 100, in particular a paper machine, first parameters x1,...,xn are provided. In a second part 100b, second parameters y1,...,yn are provided. The parameters x1,...,xn, y1,...,yn are preferably stored as time series 16a,...,16n, 17a,...,17n. In the event of a web break in the second part 100b, the second parameters y1,...,yn are first analyzed for a second anomaly. If no second anomaly can be detected, the first parameters x1,...,xn are examined for a first anomaly.The analysis primarily examines the parameters x1,...,yn that were stored in a time range prior to the path break F. Upon detection of a first or second anomaly, these, and optionally measures to prevent such path breaks F, are displayed to the user. Optionally, the first parameters x1,...,xn and / or the second parameters y1,...,yn can be configured to prevent path breaks F in the future.

Claims

1. A method for monitoring an industrial equipment (100) for a tear in a fibrous material web (1), wherein the industrial equipment (100) serves for producing and / or processing the fibrous material web (1), wherein the industrial equipment (100) comprises a first section (100a), in particular a wet section, and a second section (100b), in particular a drying part, wherein the method comprises the following steps: - determining and storing first parameters (x1,...xn) of the first section (100a) and second parameters (y1,...,yn) of the second section (100b), - analysing the second parameters (y1,...,yn) for a second anomaly (A2), - upon establishing that no second anomaly is present in the second parameters (y1,...,yn), an analysis of the first parameters (x1,...xn) for a first anomaly (A1) takes place; - upon establishing the first anomaly (A1) in the first parameters, the first anomaly (A1) is displayed to a user.

2. The method of claim 1, wherein the analysis of the first parameters (x1,...xn) and / or of the second parameters (y1,...,yn) takes place subsequent to a tear in the fibrous material web.

3. The method of claim 1 or 2, wherein, upon establishing a first anomaly (A1) of the first parameters (x1,...,n) or a second anomaly (A2) of the second parameters (y1,...,yn), a change of the second parameters (y1,...,yn) takes place such that a web tension (B) of the fibrous material web is reduced.

4. The method of any one of the preceding claims, wherein, upon establishing a first anomaly (A1) of the first parameters (x1,...,xn), a change of the first parameters (x1,..., xn) takes place such that a maximum voltage (B-max) assumes a sufficiently high value so that no tear takes place upon proper functioning of the second section (100b).

5. The method of any one of the preceding claims, wherein the analysis of the second parameters (y1,...,yn) comprises the following steps: - calculating the web tension (B) of the material web (XX) from the second parameters (y1,...,yn); - comparing the web tension (B) with a maximum tension (B-Max), - wherein the second anomaly is present upon the web tension (B) exceeding the maximum tension (B-max).

6. The method of any one of the preceding claims, in particular of any one of claims 4 or 5, wherein the maximum voltage (B-max) is calculated on the basis of the first parameters (x1,...,xn).

7. The method of any one of the preceding claims, wherein the respective first parameter (x1,...,xn) and / or the respective second parameter (y1,...,yn) is stored as a time series (16a,..., 16n, 17a,..., 17n).

8. The method of any one of the preceding claims, wherein the respectively first parameters (x1, ...,xn) and / or the respectively second parameters (y1,...,yn) are stored as a function of time, and wherein the respectively first parameters (x1,...,xn) and / or the respectively second parameters (y1,...,y2) are analysed with the aid of an algorithm which is based on artificial intelligence.

9. The method of any one of the preceding claims, wherein, upon establishing the first anomaly (A1) and / or the second anomaly (A2), a way of avoiding the respective anomaly (A1, A2) is displayed.

10. The method of any one of the preceding claims, wherein the first parameters (x1,...,xn) and / or the second parameters (y1,...,xn) are stored in a data storage, in particular in a cloud, respectively as a function of time (t).

11. The method of any one of the preceding claims, wherein the stored first parameters (x1,...,xn) and / or the stored second parameters (y1,...,yn) serve for adapting the algorithm which is based on artificial intelligence.

12. The method of any one of the preceding claims, wherein, upon a tear, the first parameters (x1,...,xn) and / or the second parameters (y1,...,yn) which lie in a time range preceding the tear are analysed in order to detect a pattern, wherein a warning signal to the user takes place upon later occurrence of such a pattern.

13. A computer program product for performing a method according to any one of the preceding claims, provided that the computer program product is executed on a computing unit.

14. A device for monitoring an industrial equipment, wherein the device comprises: - an interface for receiving first parameters (x1,...,xn) and / or second parameters (y1,...,yn), - a computing unit for analysing first parameters for a first anomaly and / or second parameters for a second anomaly, optionally a display for interacting with a user, and an interface for providing settings for the industrial equipment, wherein the device is configured to perform a method of any one of claims 1 to 12.

15. An industrial equipment, in particular a paper machine, comprising a device of claim 14.

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