Method and device for obtaining machine measurement data, and tire curing press including a device for obtaining measurement data

Abstract

The present invention relates to a method and a device for obtaining machine measurement data and to a tire curing press comprising a device for obtaining measurement data, which are recorded and digitally processed in order to obtain information about the state of the machine and to enable an automatic state control of the machine.

Description

[Technical field]

[0001] The present invention relates to a method and apparatus for obtaining measurement data from a machine. [Background technology]

[0002] Furthermore, the invention relates to a tire curing press (tire heating press) comprising at least one device for obtaining machine measurement data.

[0003] In an embodiment, the invention includes a digital application for a machine, in particular for a tire curing press.

[0004] Known tire presses already have digital control systems that can be used to control the individual processing steps, which vary depending on the machine. Furthermore, many known tire curing presses also have evaluation units that can detect certain functions or malfunctions of the tire curing press and generate corresponding machine messages.

[0005] These machine messages must be manually read and interpreted by a user, operator or maintenance personnel for known tire curing presses.

[0006] For manufacturing machines, including tire curing presses, it is generally important to achieve the shortest possible process run times to enable high throughput.

[0007] Process run times are specified for a particular machine configuration and are maintained within certain tolerances when new machines or wear-free and defect-free machines are ordered according to that specification.

[0008] However, during operation of the machine, wear and fatigue can occur in assemblies or components that are subject to wear, resulting in defects that adversely affect the achievable process run time.

[0009] Furthermore, for manufacturing machines, including tire curing presses in general, it is important to achieve the lowest possible media consumption and to allow efficient use of the media.

[0010] The media consumption required for a process cycle, e.g. in the form of (electrical) energy, compressed air, oil or hydraulic fluid, nitrogen, steam or hot water, is specified for a particular machine and process specification and is maintained within certain tolerances when a new machine or a wear-free and defect-free machine is ordered according to that specification.

[0011] However, during operation of the machine, wear-sensitive assemblies or components can experience wear and potentially defects that adversely affect the achievable process run time. Summary of the Invention [Problem to be solved by the invention]

[0012] SUMMARY OF THE PRESENT EMBODIMENT It is therefore an object of the present invention to create a device for obtaining measurement data from a machine and a tire curing press, which solves at least some of the problems mentioned above. [Means for solving the problem]

[0013] According to the invention, this object is achieved by an apparatus for obtaining measurement data of a tire curing press according to patent claim 1 and by a tire curing press according to patent claim 9.

[0014] It is a further object of the present invention to provide a method for obtaining measurement data from a machine which overcomes at least some of the problems mentioned above.

[0015] According to the invention, this object is achieved by a method for obtaining measurement data of a tire curing press according to patent claim 10.

[0016] Advantageous aspects of the invention are claimed in the dependent claims.

[0017] The following disclosed features of a device for obtaining measurement data from a machine, a tire curing press and a method for obtaining measurement data from a machine are part of the invention in all possible combinations.

[0018] In an embodiment of the invention, a digital solution for condition monitoring of machines, in particular for example tire curing presses for rubber, tire building machines, mixers or food and / or edible oil production machines is realised.

[0019] The device for obtaining measurement data of a machine according to the invention is designed for monitoring at least one machine and comprises at least one grasping device for grasping at least one machine parameter of at least one monitored machine and at least one evaluation unit.

[0020] According to the invention, at least one gripping device, at least one evaluation unit and at least one control unit are arranged to realize a control loop, wherein the at least one evaluation unit is designed to monitor the state of the at least one monitored machine based on at least one detected machine parameter, wherein a deviation is detectable using the at least one evaluation unit by comparing the at least one detected machine parameter with a set value, and wherein at least one digitally controllable control element of the at least one monitored machine is controllable using the at least one control unit based on the detected deviation in order to compensate or at least reduce the detected deviation.

[0021] Preferably, the at least one grasping device and / or the at least one evaluation unit can be used to detect or read out cycle times and / or sub-cycle times, at least one media consumption, sensor-detectable status data and / or machine messages of the at least one monitored machine as machine parameters and can be used to monitor the status of the at least one machine.

[0022] In an advantageous embodiment of the invention, the at least one evaluation unit is designed to automatically determine at least one cause underlying the detected deviation or to at least automatically narrow down possible causes.

[0023] If a detected deviation occurs outside of a defined tolerance, the at least one evaluation unit is particularly preferably designed to read out additional data (additional data), by evaluation of which together with the detected deviation the cause can be automatically identified or at least narrowed down.

[0024] Preferably, at least one digitally controllable control element of the machine, which is suitable for compensating for or at least reducing a detected deviation, is automatically identifiable by means of the at least one evaluation unit on the basis of at least one identified cause for the at least one detected deviation.

[0025] Particularly advantageously, at least one control parameter required for controlling at least one digitally controllable control element of the machine in order to compensate for or at least reduce the detected deviation is automatically read out and / or derived based on at least one identified cause for the at least one detected deviation, whereby the at least one digitally controllable control element can be automatically controlled by means of at least one corresponding control parameter using at least one evaluation unit.

[0026] In an embodiment of the invention, the control variables are predetermined by monitoring the cycle time and / or the sub-cycle time (main monitored machine parameters) and the at least one evaluation unit is designed to determine the detected cause for the time deviation using at least one additionally monitored machine parameter from the group of media consumption and / or sensor monitoring and / or machine messages of at least one monitored machine.

[0027] In an embodiment of the invention, the control variable is predetermined by monitoring at least one media consumption (main monitored machine parameter) and at least one evaluation unit is designed to determine a detected cause for a consumption deviation using at least one additionally monitored machine parameter from the cycle time and / or sub-cycle time and / or sensor monitoring and / or machine message group of at least one monitored machine.

[0028] In an embodiment of the present invention, the device is designed to capture measurement data of a tire curing press.

[0029] Using at least one grasping device, in an embodiment of the invention, the cycle time required to perform a process cycle can be sensed as a machine parameter.

[0030] In an advantageous embodiment of the invention, at least one sub-cycle time, which corresponds to the duration of a defined process step or of a defined sequence of process steps, is knowable by means of at least one grasping device.

[0031] Preferably, the cycle time and at least one sub-cycle time required to perform a process cycle are knowable using at least one knowing device.

[0032] In a preferred embodiment of the present invention, a process cycle is divided into a number of sub-cycles, each sub-cycle corresponding to a defined machine movement or sequence of machine movements.

[0033] In a particularly advantageous embodiment of the invention, the duration of each of the defined sub-cycles is knowable by means of at least one knowing device.

[0034] To determine cycle and / or sub-cycle times, at least one determination device in a corresponding embodiment of the present invention is designed to retrieve (read) data from the machine control device and / or to monitor the respective machine using sensors.

[0035] A machine controller of at least one monitored machine identifies the start time of a cycle or sub-cycle, e.g. by a control command, and recognizes the end time of the cycle or sub-cycle based on measurements, e.g. in the form of the actuation of a switch / button when a certain position is reached at which a further control command is issued to start the next process step.

[0036] In a corresponding embodiment of reading data from the machine control device, the at least one grasping device is designed to grasp the first cycle time or sub-cycle time, for example by measuring the time between a first control command initiating a first cycle or sub-cycle and a second control command initiating a subsequent second cycle or sub-cycle, or a detection event signaling the end of the first cycle or sub-cycle.

[0037] Additionally, certain machine messages may correspond to the start or end of a cycle or sub-cycle, whereby detection of the corresponding machine message with at least one grasping device may define the start or stop of a cycle or sub-cycle.

[0038] Furthermore, in embodiments of the invention, the start and end of a cycle or sub-cycle can be detected by sensor-based monitoring of at least one monitored machine. For example, the start and end of a process step can be known using imaging monitoring of at least one machine, especially when a movement is caused.

[0039] In various embodiments of the present invention, the above mentioned methods of knowing the cycle time and / or sub-cycle time are combined with each other in all possible options.

[0040] At least one evaluation unit of the device for obtaining measurement data of a machine according to the present invention is designed to monitor the state of at least one monitored machine on the basis of cycle times and / or sub-cycle times which are grasped by means of at least one grasping device.

[0041] In a preferred embodiment of the invention, condition monitoring within the meaning of the invention is a specific condition monitoring of at least one monitored machine as a whole and at component level and / or functional level. Particularly preferably, condition monitoring is realized at component level.

[0042] For the condition monitoring, the at least one evaluation unit is preferably designed to read out stored set values ​​(target values), tolerance values ​​and / or limit values ​​of at least one cycle time, preferably also of all defined subcycles.

[0043] For example, the evaluation unit is designed to read out the set values ​​from a local storage device as part of the device for obtaining the measurement data and / or from an external data storage device as part of a machine-wide database at the production site or in the cloud. Preferably, relevant tolerance or limit values ​​are derived for at least one cycle and / or sub-cycle time. In principle, according to the invention, it is also possible that only tolerance and / or limit values ​​for all cycle times / sub-cycle times are derivable.

[0044] In addition, the at least one evaluation unit is designed to compare the ascertained actual cycle time and / or sub-cycle time with set values ​​and / or tolerance ranges or limit values ​​for the set values.

[0045] At least one evaluation unit is designed to detect a time deviation if at least one of the determined times does not fall within a tolerance range of set values ​​defined for the entire process and / or for the respective process step or falls below the respective limit value.

[0046] If the detected time deviation corresponds to a control deviation, this must be automatically compensated for or at least reduced by appropriate measures.

[0047] In an embodiment of the invention, when a time deviation is detected, the at least one evaluation unit is designed to generate a deviation signal which signals the at least one deviation of the ascertained times.

[0048] In an embodiment of the invention, the at least one evaluation unit is designed to output at least one offset signal upon detection of a time offset.

[0049] Preferably, the deviation signals are individually identifiable according to each cycle or sub-cycle, so that the deviation signals can be used to determine which cycles / sub-cycles deviate from the set value or set values.

[0050] In an embodiment of the invention, the at least one evaluation unit is operable to generate a deviation message, depending on the respective deviation between the target time and the actual time, which identifies at least the cycles and / or sub-cycles which are deviating (showing a deviation).

[0051] In an embodiment of the invention, the evaluation unit is designed to automatically detect at least one cause underlying the time lag or at least to automatically define possible / probable causes.

[0052] The assignment of sub-cycles to specific process steps or machine movements allows the possible causes to be narrowed down to those that affect the duration of each sub-cycle based on the identification of the out-of-sync sub-cycle.

[0053] In an advantageous embodiment of the invention, the at least one evaluation unit is operable to read out a cause list which is assigned to the individual cycles or sub-cycles and which contains various likely causes / possible causes for the respective time deviation.

[0054] Causes of deviations in cycle times or sub-cycle times can include wear, defects, incorrect settings, material defects and / or manufacturing defects.

[0055] Preferably, at least one criterion is assigned to each cause listed in the cause list, and by checking the presence or absence of the at least one criterion it is possible to determine whether the respective cause applies or may apply.

[0056] In an embodiment of the invention, at least one evaluation unit with the deviation signal and / or deviation message is designed to output a respective cause list and / or criteria list.

[0057] By collecting additional data, it may be possible in some cases to definitively identify a cause from the list of causes or at least further narrow the list of causes.

[0058] Compared to the primary collection and analysis of warning and fault messages from the machine, monitoring the cycle time and / or media consumption of the machine offers the advantage of being able to respond at a very early stage to previously unnoticed, gradual deterioration in the machine process ("process drift"). Furthermore, monitoring of cycle times, especially sub-cycle times or media consumption, can support the search for triggering error messages when this is not obvious.

[0059] In an advantageous embodiment of the invention, the at least one evaluation unit is designed to read out additional data (additional data) in the event of a detected time deviation, by evaluation of which a cause in relation to the detected time deviation can be automatically identified or at least further narrowed down.

[0060] In an embodiment of the invention, the at least one evaluation unit is designed to correlate the detected (sub)cycle offset with additional read data.

[0061] In an embodiment of the invention, the readable additional data comprises sensor data and / or machine messages and / or media consumption relating to the at least one monitored machine and / or the corresponding machine, respectively.

[0062] In a corresponding embodiment of the present invention, using at least one evaluation unit, criteria for the presence or absence of specific causes for one or more time lags can be checked by evaluating sensor data, machine messages and / or media consumption which may be provided by machine-related measurements.

[0063] In an embodiment of the invention, the at least one evaluation unit is designed to perform an automatic cause correction using the at least one control unit based on the determined cause or determined possible cause for the at least one detected deviation and / or to output suggestions or instructions for further cause determination.

[0064] Preferably, the at least one evaluation unit is designed to automatically retrieve a list of a plurality of measures based on at least one detected cause, including at least digitally controllable control elements of the monitored machine that can be used to compensate and / or reduce the detected deviation.

[0065] Preferably, the specific action to be taken is stored in a list of a plurality of actions meaning activation of at least one digitally controllable control element of the monitored machine, whereby at least one action is explicitly assigned depending on the determined cause.

[0066] The control parameters to be applied in this case are also stored in the list of actions.

[0067] Compared to conventional control loops, the approach according to the invention is characterized in corresponding embodiments by the combination of different data sources (cycle times, media consumption, sensor data, warning messages and fault messages), the use of statistical procedures and machine learning methods, and by having local, regional or global standards and benchmarks via centrally established information collections (data pools).

[0068] In a corresponding embodiment, the control loop implemented has the function of restoring, for example, the intended cycle time and the set (target) energy and media consumption of the tire curing press.

[0069] In various embodiments of the present invention, cycle time and / or sub-cycle time, at least one media consumption and / or sensor-based monitoring of at least one monitored machine may be the primary monitored machine parameters and thus the control variables of the control loop.

[0070] In the embodiment of the present invention, an IIOT architecture is used to integrate the control loop. Based on the above-mentioned methods for determining the machine status (such as cycle time monitoring, collecting warning and fault messages, monitoring energy and media consumption), the control variables for the corresponding machine functions can be determined in the web application in the corresponding embodiment of the present invention. The information is then made available to the machine control device via the IoT gateway. For the persistent feedback of the machine data to the cloud application or the business application, a closed control loop is realized in the corresponding embodiment of the present invention.

[0071] In an embodiment of the invention, depending on the detected time deviation or the identified cause of the time deviation, a control loop is implemented which either interferes with the machine control (e.g. automatic provision of digital parameters in the machine PLC, change of configuration) or uses mechanical actuators for targeted interference with the device to be controlled, thereby realizing a "self-healing" tire curing press. Provision of an interface to or interference with the machine control, both digital actuators and digitally controllable (e.g. mechanical / electromechanical) actuators are digitally controllable control elements within the meaning of the invention.

[0072] For example, control of hydraulic systems can be adjusted based on data dependent on cycle time and / or energy consumption, so that signs of wear up to a certain point do not affect machine performance and energy consumption.

[0073] To achieve a fully self-healing machine, digitally configurable actuators are used for certain functions (e.g. pneumatic cylinders for a rotating mechanism). Therefore, variables (digital parameters) are stored in the machine controller for the configuration of the actuators. If there is a deviation in the control variables (e.g. cycle time or sub-cycle time), the digital control parameters are subsequently adjusted in order to achieve the set cycle time again.

[0074] As implemented in an embodiment of the present invention, sensor monitoring of at least one machine, such as a tire curing press, is achieved by at least one sensor positioned to obtain data related to the at least one monitored machine.

[0075] The at least one sensor may be an integral part of the at least one machine to be monitored or may be a sensor located in, on or in the area of ​​the at least one machine to be monitored as part of the apparatus for obtaining measurement data.

[0076] In various embodiments of the invention, such sensors may be arranged for corresponding use, for example at least one of the following sensors: pressure sensors and / or flow sensors (e.g. for steam, air, nitrogen or hydraulic oil) and / or sensors for measuring voltage, current or power and / or vibration sensors and / or temperature sensors and / or particle monitors and / or humidity sensors and / or viscosity sensors and / or image sensors and / or velocity sensors and / or acceleration sensors and / or force sensors and / or sensors for determining valve status.

[0077] In an embodiment of the invention, the evaluation unit is designed to read out and evaluate sensor data (measurements) of at least one sensor arranged to record data related to at least one monitored machine.

[0078] In an embodiment of the invention, the at least one evaluation unit is designed to read out and evaluate sensor data (measurements) upon a deviation of at least one monitored machine parameter. This event-based data readout ensures a smaller amount of data to be processed compared to a continuous readout.

[0079] In another embodiment of the invention, the at least one evaluation unit is designed to continuously read out the sensor data, which provides a comprehensive database that can be used, for example, with artificial intelligence (AI) and / or machine learning (ML) to predict the state of the machine.

[0080] In an embodiment of the invention, it is also possible to combine the reading of sensor data when a deviation occurs due to a first group of sensor data, which at least includes sensor data obtained by a sensor, with a continuous reading of sensor data of a second group of sensor data.

[0081] In an advantageous embodiment of the invention, a set value can be read out for sensor data which are ascertainable in the respective configuration by means of at least one evaluation unit, and the ascertained sensor data can be compared with the set value. If the measured value lies outside any defined tolerance around the set value, a measured value deviation can be determined by means of the at least one evaluation unit.

[0082] Deviation of one or more sensor readings from a set value is a pointer-indicator of a particular cause, error or defect.

[0083] In an advantageous embodiment of the invention, a cause list can be read out for various measurement deviations or combinations of measurement deviations using the at least one evaluation unit, whereby causes, errors or defects can be automatically and unambiguously identified or the cause list can be further limited automatically using the at least one evaluation unit.

[0084] Various sensors and their arrangement within the monitored system are described below using the application example of a tire curing press, which may support the diagnosis of the described system / subsystem.

[0085] In an embodiment of the invention, a pressure sensor is arranged to diagnose a hydraulic system, for example it is arranged in the pressure line of a hydraulic unit to measure the hydraulic pressure, so that the hydraulic pressure provided by the hydraulic unit can be checked.

[0086] In an embodiment of the invention, a pressure sensor is located to diagnose the pneumatic system, for example, in the central compressed air supply line of the machine to measure the pressure of the pneumatic system.

[0087] In an embodiment of the present invention, a pressure sensor is arranged to diagnose the heating medium, for example, in at least one supply line of the heating medium (steam, nitrogen, hot water, etc.) to measure the pressure. The pressure in the supply line affects, for example, the vulcanization process (product quality) and the condition of the heating medium (wear of the heating valve, etc.).

[0088] In an embodiment of the invention, a flow sensor is arranged to diagnose the hydraulic system, for example in the compression line of a hydraulic unit to measure the flow rate of hydraulic oil. With this arrangement, the condition of the hydraulic system can be checked, among other things, for leaks.

[0089] In an embodiment of the invention, a flow sensor is arranged to diagnose the pneumatic device, for example at the central compressed air supply of the machine to measure the flow rate / volume of compressed air for the pneumatic device. With this arrangement, the condition of the pneumatic device can be checked, among other things, for leaks.

[0090] In an embodiment of the present invention, a flow sensor is arranged to diagnose the heating medium, for example, in at least one supply line of the heating medium (steam, nitrogen, hot water, etc.) to measure the flow rate / volume of the heating medium. The pressure in the supply line affects, for example, the vulcanization process (product quality) and the condition of the heating medium (wear of the heating valve, etc.) and the condition of the rubber bladders.

[0091] In an embodiment of the invention, a power meter is arranged for diagnosing the hydraulic system, for example integrated in the power supply of the hydraulic unit in the control cabinet, so that the power consumption of the hydraulic unit (motor current, voltage) can be monitored, which is influenced for example by the wear of the hydraulic unit and / or the condition of the hydraulic system.

[0092] In an embodiment of the invention, a power meter is arranged for diagnosing a servo rotary drive, for example of at least one loading device (loader) and / or unloading device (unloader) of a corresponding tire curing press. For example, it is integrated into the power supply of a servo motor to measure electrical characteristics (voltage, current, power consumption). By means of this device, for example, the function and condition of the rotary mechanism (wear of bearings, gears, etc.) can be determined.

[0093] In an embodiment of the invention, a vibration sensor is arranged for diagnosing the hydraulic system, for example arranged on the motor housing of the hydraulic unit, so that the vibrations of the motor during operation can be monitored, for example wear of the hydraulic unit, particularly wear on the motor or pump, can be detected by this device.

[0094] In an embodiment of the invention, a temperature sensor is arranged to measure the ambient temperature of the machine, for example in the control cabinet. The ambient temperature can be used as a reference for other process parameters of the machine, for example oil temperature, external heating temperature, condensing steam line.

[0095] In an embodiment of the present invention, a temperature sensor is arranged to measure the temperature of the green tire, for example, at the blank stand and / or at the loading mechanism to measure the external temperature of the tire blank. The blank temperature affects the vulcanization process and the product quality.

[0096] In an embodiment of the present invention, a temperature sensor is arranged to measure the temperature of the vulcanized tire, for example, at the unloading mechanism to measure the external temperature of the tire, which is affected by the vulcanization process and affects the product quality.

[0097] In an embodiment of the present invention, a temperature sensor is placed in the PCI (downstream tire aftertreatment device) to measure the tire temperature. For example, it is placed in each cell of the PCI to measure the tire external temperature. This device can monitor the effect of tire temperature on PCI function / product quality.

[0098] In an embodiment of the invention, a temperature sensor is placed on the conveyor belt to measure the temperature of the tire, for example at a storage location on the conveyor belt to measure the external temperature of the tire. This device allows monitoring the impact of tire temperature on product quality and / or further processes in the value chain.

[0099] In an embodiment of the present invention, a particle monitor is positioned to monitor a hydraulic system, for example, in a tank of a hydraulic unit to detect particles such as air inclusions and metal particles in the hydraulic oil, and the device can monitor oil quality and the condition of the hydraulic system.

[0100] In an embodiment of the invention, a moisture sensor is positioned to monitor the rubber bladders, for example, in the heating device to detect bladder leakage during operation. This device allows the condition of the bladders (wear parts) to be monitored during production.

[0101] In an embodiment of the present invention, a viscosity sensor is located to monitor the hydraulic system, for example in the tank of the hydraulic unit to measure the viscosity of the hydraulic oil, allowing the oil condition (including aging, etc.) and the condition of the hydraulic system to be monitored.

[0102] In an embodiment of the present invention, a sensor for using an imaging method is arranged to monitor the rubber bladders, for example, it is arranged in front of a heating device with different flash angles on the bladders to monitor the geometry of the bladders during operation. With this device, the condition of the bladders (wear parts) can be monitored during production.

[0103] In an embodiment of the invention, sensors for using imaging methods are arranged to monitor the wear of the mould / sliding plates, for example in front of the heating device with different flash angles on the mould segments / sliding plates to monitor the geometry of the mould segments / sliding plates.

[0104] In an embodiment of the invention, a speed sensor and / or an acceleration sensor is arranged to monitor the rotation drive of the loading and / or unloading device. For example, it is arranged on the rotating arm to monitor the movement profile (speed, acceleration) of the rotating arm. By means of this device, wear or incorrect adjustment of the rotating mechanism can be detected.

[0105] In an embodiment of the invention, a speed and / or acceleration sensor is arranged to monitor the vertical movement of the loading and / or unloading device, for example on the rotating arm to monitor the movement profile (speed, acceleration) of the lifting mechanism, so that wear or incorrect adjustment of the lifting mechanism can be detected.

[0106] In an embodiment of the present invention, a velocity sensor and / or an acceleration sensor are positioned to monitor the vertical movement of the PCI cell.

[0107] For example, it is placed on a lift cylinder to monitor the movement profile (speed, acceleration) of the lift mechanism, making it possible to detect wear or incorrect adjustment of the lift mechanism.

[0108] In an embodiment of the invention, a speed and / or acceleration sensor is positioned to monitor the vertical movement of the head part (upper part of the press), for example, in the head part to monitor the movement profile (speed, acceleration) of the head part, so that wear or incorrect adjustment of the lifting mechanism can be detected.

[0109] In an embodiment of the invention, a force sensor is arranged to monitor the rotation drive of the loading and / or unloading device. For example, it is arranged on the rotating arm to monitor the force curve during rotation. With this device, wear or incorrect adjustment of the lifting mechanism can be detected.

[0110] In an embodiment of the invention, a force sensor is positioned to monitor the bladder telescoping cylinder, for example, placed on the bladder telescoping cylinder to monitor the force curve of the bladder telescoping cylinder during production, allowing for wear detection or detection of incorrect setup / configuration.

[0111] In an embodiment of the invention, a force sensor is arranged to monitor the segmented actuator, for example at the stroke cylinder of the segmented actuator in order to monitor the force profile of the segmented actuator during manufacture, which allows wear detection or incorrect setting / configuration of the mould or of the segmented actuator.

[0112] In an embodiment of the invention, at least one evaluation unit is designed to read and evaluate machine messages from at least one monitored machine.

[0113] Machine messages are messages that are generated automatically by the control device of the respective machine, usually depending on the status. In particular, warning messages and / or fault messages are such machine messages, but they may also include, for example, general status messages.

[0114] Depending on the monitored machine and the machine software / PLC (Programmable Logic Control Circuit) software, there are, for example, 500-1500 different machine messages. These are currently not standardized in their type and error code, but depend on the individual customer specifications and the respective machine controller. In a preferred embodiment of the invention, these machine messages are so precise and unambiguous that the user can directly determine the cause / source of the error from them and also receive instructions for action.

[0115] In an embodiment of the invention, the at least one evaluation unit is designed to read out and evaluate machine messages from the at least one monitored machine when a deviation of the at least one monitored machine parameter occurs.

[0116] In another embodiment of the invention, the at least one evaluation unit is designed to continuously read out machine messages of the at least one monitored machine, the continuous data reading providing for example a comprehensive database that can be used with Artificial Intelligence (AI) and / or Machine Learning (ML) to predict the state of the machine.

[0117] In an embodiment of the invention, it is also possible to combine the reading of machine messages when a deviation occurs due to a machine message of the first group with a successive reading of machine messages of the second group.

[0118] In an embodiment of the invention, the at least one evaluation unit is designed to count and store the frequency of occurrence of at least one specific machine message, which, depending on the machine message and its frequency or frequency trend, is an indication of the need for a maintenance procedure in an embodiment of the invention.

[0119] In an embodiment of the present invention, the at least one evaluation unit is designed to determine and / or store maximum, minimum and / or average duration of occurrence of specific machine messages, assignment of machine messages to specific product IDs and / or assignment of machine messages to specific assemblies or parts of the at least one monitored machine.

[0120] In an embodiment of the invention, the at least one evaluation unit is designed to read out and evaluate the consumption of at least one consumable medium of at least one monitored machine.

[0121] In an embodiment of the invention, the consumption of the following exemplary consumed media can be read out by means of the evaluation unit: electrical energy required for a cycle or sub-cycle, amount of compressed air, oil or hydraulic fluid required, nitrogen, water, steam or hot water.

[0122] In an embodiment of the invention, the at least one evaluation unit is designed to read out and evaluate the consumption of the at least one consumable medium upon deviation of the at least one monitored machine parameter.

[0123] In a further embodiment of the invention, the at least one evaluation unit is designed to continuously read out the consumption of the at least one consumable medium.

[0124] In an embodiment of the invention, it is also possible to combine the reading of the media consumption when a lag occurs for a first group of media consumption with a continuous reading of the media consumption of a second group of media consumption.

[0125] In an advantageous embodiment of the invention, a set value for at least one media consumption can be read out in the respective configuration using at least one evaluation unit, and the recorded media consumption can be compared with the set value. If the consumption value is outside any defined tolerance range around the set value, a consumption deviation can be determined using the at least one evaluation unit.

[0126] Deviations of at least one media consumption from a set value are indicative of a particular cause, malfunction or defect, as the case may be.

[0127] In an advantageous embodiment of the invention, a cause list can be read out for various consumption deviations or combinations of consumption deviations using the at least one evaluation unit, so that causes, faults or defects can be clearly and automatically identified or the cause list can be at least further limited automatically using the at least one evaluation unit.

[0128] In an embodiment of the invention, the device for obtaining measurement data from a machine preferably comprises at least one communication device for connecting to at least one additional data source and / or for transmitting data to a higher level storage and / or evaluation unit, designed for data storage and / or evaluation for several machines.

[0129] In an embodiment of the invention, the additional data sources are, for example, other machines, preferably of the same machine type, having an identical or nearly identical structure, processes or devices located along the value chain before or after the at least one monitored machine, for example central storage and / or evaluation units having larger resources or having access to large amounts of data to perform extensive data evaluation, design data of the at least one monitored machine and / or a CAD model of the at least one monitored machine.

[0130] The central storage and / or evaluation unit may for example be realised on a local server, in particular at the installation site of the at least one monitored machine (for example at the production site) and / or on a cloud server.

[0131] The use of a central storage device and / or evaluation unit and / or control unit saves additional processing power for data processing at each individual machine and, in embodiments of the invention, makes it possible to display the results of data evaluation via mobile data techniques regardless of location, as well as local, regional or global standards and benchmarks of various monitored machines.

[0132] In an embodiment of the invention, at least one evaluation unit is designed to perform reference / benchmark-i.e., comparisons based on data of several monitored machines (e.g., tire curing presses) locally for one plant, regionally for several plants and worldwide across many / all plants.

[0133] In an embodiment of the invention, the integration of upstream processes in product manufacturing (e.g. mixer, extrusion and tire building in tire manufacturing) with downstream process steps (e.g. quality control) can be used to diagnose the machine condition and / or product quality of individual products (e.g. tires) using at least one evaluation unit.

[0134] In an embodiment of the invention, for example, the tire structure is identified by information about the dimensions (e.g. diameter and width) of the (green) tire, the weight, the composition of the rubber compound of the green tire and / or the (layer) structure of the green tire, which can be read from a data source using at least one evaluation unit, which means, for example, that a specific weight of a green tire can be taken into account as an influencing factor for the duration of a certain movement or media consumption with respect to a subcycle.

[0135] In an exemplary embodiment of the present invention, feedback from quality control to the tire curing press is established to provide a basis for the effect of tire curing press process parameters on product quality.

[0136] In embodiments of the invention, product related data is available taking into account the entire value chain by integrating other process steps in the value chain.

[0137] For example, in a corresponding embodiment of the present invention, energy and / or material requirements for tire manufacturing can be identified. The data base can also be used for maintenance management, optimizing machine operation and / or troubleshooting and / or further development of the manufactured products.

[0138] Furthermore, in embodiments of the present invention, machine learning and / or artificial intelligence methods may be applied to process-related and machine-related data throughout the value chain to determine, for example, a prediction of product quality for tires based on the process data. Thus, in corresponding embodiments of the present invention, the need for quality assurance procedures at the end of the value chain may be reduced.

[0139] In an embodiment of the invention, the evaluation unit and the data evaluated by the evaluation unit over time are used to perform condition monitoring using state predictions of state parameter interactions and operating behavior in certain situations using statistical methods / predictions.

[0140] In an embodiment of the invention, the at least one evaluation unit is designed to apply artificial intelligence (AI) and / or machine learning (ML) methods to the readable data. By evaluating large amounts of data, correlations between changes and / or trends in the individual data and the occurrence of certain causes of defects can be determined, whereby in an embodiment of the invention a future state of the at least one monitored machine can be predicted.

[0141] In an embodiment of the invention, this allows for early issuance of warning messages regarding impending defects and / or required maintenance.

[0142] In an embodiment of the present invention, the status of at least one monitored machine, for example a tire curing press, may be displayed in a digital application (app).

[0143] In an embodiment of the invention, the determined indicators can be output by a digital end device as an optical display. A digital end device in this sense is, for example, a smartphone, a smartwatch, a tablet, a notebook, a PC or a digital display panel.

[0144] In an embodiment of the invention, current warning and / or fault messages for a machine may be displayed at a glance, including their symbolic severity / criticality, message designation (message name) and timestamp.

[0145] In an embodiment of the invention, details of individual warning and / or fault messages associated with a machine may be displayed by name, description, solution indication, references to the same message on other machines with timestamps and / or links to products manufactured under the fault condition (e.g. tire ID).

[0146] In an embodiment of the invention, a message overview of several monitored machines (e.g., tire curing presses) can be output at a glance with symbols for hazards, designations, machine locations ("trench"), machine numbers and / or time stamps.

[0147] In an embodiment of the invention, the comparison and simultaneous display of fault messages from several monitored machines (e.g. tire curing presses) in a factory provides a maintenance management with a control station for maintenance, which provides immediate visibility into currently required maintenance actions for all monitored machines (e.g. tire curing presses). This data base can be used to derive priorities for maintenance and service, and to identify related faults of several machines in the context of a common infrastructure (e.g. group hydraulics, heating media, etc.).

[0148] In a preferred embodiment of the invention, the last, e.g. about 10, cycle times of the monitored machine or of a group of monitored machines (i.e. a heating press or a group of heating presses, e.g. the entire trench / heating chamber), which can be flexibly adjusted as required, can be displayed as an overview during operation and can be set with respect to the specifications of the tyre to be manufactured. If the actual cycle time is more than the target cycle time, the deviation and possibly optional instructions for checking and / or optimally setting the relevant assemblies or individual functions can be output as a message. The exact thresholds and tolerances for the monitored machines can be defined for the respective machine configuration. The message function can be (de)activated. In an embodiment of the invention, the operating data for the relevant assemblies or individual functions can be displayed in detail.

[0149] In an advantageous embodiment of the invention, remedial measures can be automatically suggested for the at least one monitored machine on the basis of the evaluation data by the at least one evaluation unit. In an embodiment of the present invention, this solution may improve machine performance, for example by keeping cycle times or cycle times of, for example, a tire curing press consistently low to increase productivity.

[0150] In an embodiment of the invention, using the at least one evaluation unit, early warnings can be generated based on the evaluation data, which increases machine availability by avoiding unplanned downtime, assisting repair and maintenance procedures and / or reducing consumption of spare parts.

[0151] In an embodiment of the invention, a digital solution displays the energy consumption of at least one monitored machine during production, e.g. a tire curing press, so that the user or operator of the machine has access to actions to improve the energy consumption / CO2 footprint.

[0152] In embodiments, the invention provides the following advantages or has the following features, either individually or in combination:

[0153] Optimization of machine performance, monitoring and stabilization of cycle times of machines, e.g. tire curing presses, at a low level, issuing early warning messages when cycle times exceed certain thresholds, indicating causes of continuous and gradual increase in cycle times like undetected leaks, wear or incorrect settings, reduction of actual cycle times of tire curing presses and cycles by an average of 10-20 seconds, increasing productivity of tire curing presses by approximately 600-1800 tires per year (+1-3%).

[0154] In the embodiment of the present invention, rational vulcanization of the tire is achieved. In an embodiment of the present invention, the so-called "smart vulcanization" includes data exchange with the tire curing press in the vulcanization area and with the necessary databases that record production and process data. The system allows simultaneous production monitoring, traceability, recipe control and analysis of the tire curing press.

[0155] Application areas include manufacturing monitoring (e.g. planned vs actual OEE, TCO), process monitoring (e.g. cure data acquisition, recipe control, quality assurance), machinery monitoring (e.g. condition monitoring, predictive maintenance, alarm diagnostics, machine servicing), energy monitoring (e.g. electricity, compressed air, oil, cure agents).

[0156] In embodiments of the present invention, the applied technologies / methods include, for example, sensor technology, actuator technology, PLC programming and control, IT-networking of machines (e.g. tire curing presses), edge / fog, edge / fog computing, IIOT gateways, internet connectivity / protocols, cloud technology, data analytics, mobile applications, machine learning algorithms / artificial intelligence, virtual reality and / or augmented reality.

[0157] According to the digital solution for condition monitoring of a machine (e.g. a tire curing press) according to the invention, in an embodiment of the invention, the machine status can be displayed in a digital app and automatically suggested remedial actions can be performed to operators and maintenance personnel, and also allows technical self-healing and automatically controlled actions of the machine during production.

[0158] Fields of application include production monitoring (e.g., keeping the cycle time of a tire curing press stable and low to increase productivity by outputting deviations between predefined setpoints and measured actual values ​​in the cycle times of (partial) phases of the tire curing process), process monitoring (e.g., using machine warning messages and machine parameters to indicate quality defects in the tire curing process, whereby monitoring of the curing cycle time provides assistance to prevent previously unnoticed process deviations that would otherwise result in a continuous increase in the cycle time in the tire curing process), machine monitoring / machine control (e.g., by correlating cycle time deviations with machine parameters and / or fault messages). In this way, automatic indications of the causes of failures can be derived and automatic suggestions for troubleshooting can be made.

[0159] In an embodiment of the present invention, a digital maintenance tool for a machine (eg, for a tire curing press) is provided.

[0160] In an embodiment of the present invention, a method and apparatus for efficient and effective maintenance of a machine (eg, a tire curing press) is provided for this purpose.

[0161] In an embodiment of the invention, the method and apparatus are based on the principles of digital condition monitoring and / or artificial intelligence.

[0162] In an embodiment of the invention, the at least one evaluation unit is designed to detect wear or defects in at least one assembly, such as a hydraulic unit, a pneumatic unit, a loading and / or unloading device, a closing unit or a security scanner.

[0163] In a preferred embodiment of the invention, the at least one evaluation unit is designed to detect wear or defects of at least one component itself or as part of an assembly such as a shock absorber, hydraulic cylinder, motor, line (leak / blockage) or sensor.

[0164] In an embodiment of the invention, the at least one evaluation unit is designed to detect wear or defects in the at least one hydraulic unit. To this end, in an embodiment of the invention, the evaluation unit is designed to ascertain cycle times or sub-cycle times that are directly or indirectly influenced by the state of the hydraulic unit and / or to detect the hydraulic pressure using at least one pressure sensor and / or to evaluate machine messages and / or control parameters (configurations) related to the hydraulic unit.

[0165] In an embodiment of the invention, the at least one evaluation unit is designed to detect defects and / or wear in the pressure regulator of the at least one hydraulic unit. If the pressure regulator of the hydraulic unit is defective or worn, a different pressure, usually a reduced pressure, is provided instead of the set pressure. This slows down the hydraulically realized movements of the machine, which leads to corresponding longer cycle times and / or sub-cycle times.

[0166] In an embodiment of the invention, using at least one evaluation unit, a list of causes can be read out based on detected deviations in cycle times or sub-cycle times with possible causes in the hydraulic system, which includes, for example, causes wear of the hydraulic unit, leaks in the hydraulic system, faulty operation of the hydraulic unit, faulty adjustment of the hydraulic system and wear of the hydraulic cylinders.

[0167] In an advantageous embodiment of the invention, criteria for the individual possible causes can be read out and preferably automatically checked using at least one evaluation unit in order to automatically narrow down at least one cause underlying at least one detected deviation.

[0168] For example, in an embodiment of the invention, one or more of the following criteria can be read out and preferably checked: pressure in the pressure lines of the hydraulic unit, electrical parameters at the hydraulic unit (current, voltage, power consumption), temperature of the hydraulic oil, oil level in the hydraulic unit, flow rate in the hydraulic lines of the hydraulic unit (leak detection), vibrations in the motor of the hydraulic unit, machine messages for interruptions in hydraulic movement or temperature warnings for the hydraulic oil, data of the upstream and / or downstream value chain.

[0169] In a corresponding embodiment of the present invention, based on the gist of the criteria fulfilled or not fulfilled, at least one cause can be automatically and unambiguously determined using at least one evaluation unit, or the cause list can be at least further reduced.

[0170] The device according to the invention is designed to perform self-recovery actions based on at least one determined cause. For hydraulic devices, these actions include, for example, configuring the hydraulic unit controls (ramp height, ramp duration, set point, run time, switch-on delay, release of P-lines, motor speed, etc.) to factory settings, increasing the set pressure of the hydraulic unit to reach the required operating pressure (preferably before reaching a fault repair / troubleshooting point), controlling the electric pressure relief valve to a design value or displaying a message on the setting of the pressure relief valve if a cycle and / or sub-cycle deviation is detected.

[0171] If a deviation in energy consumption is detected, self-recovery actions for the hydraulic system include, for example, reducing the set pressure of the hydraulic unit (preferably with parallel checking of the effect on cycle time) and issuing a message to the maintenance personnel, activating electrically controllable oil filtration (if necessary), activating the controllable lubrication system (if necessary), configuring the hydraulic unit controls (ramp height, ramp duration, set point, run time, switch-on delay, P-line release, motor speed, etc.) and hydraulic movement functions (loading device, unloading device, head section, bladder mechanism, etc.) to factory settings.

[0172] In an embodiment of the invention, the at least one evaluation unit is designed to detect defects and / or wear of a closing unit of the tire curing press. In an embodiment of the invention, defects / wear of the closing unit can be detected by evaluating the cycle time and / or the sub-cycle time and / or by monitoring the energy consumption of the hydraulic unit and / or by evaluating machine messages.

[0173] In an embodiment of the present invention, using at least one evaluation unit, a list of causes can be read out based on detected deviations in cycle times or sub-cycle times with possible causes related to the closing unit, including, for example, causes of a lack of lubricant in the slide platen or in the mould segments of the tire mould, hydraulic leaks during segment mould operation, incorrect operation (configuration) of the hydraulic functions for closing the press, incorrect setting of the hydraulic functions for closing the press (e.g. setting of the pressure relief valve).

[0174] In an advantageous embodiment of the invention, criteria for the individual possible causes are readable by means of at least one evaluation unit and can preferably be checked automatically in order to automatically narrow down at least one cause underlying at least one detected deviation.

[0175] For example, in an embodiment of the invention, one or more of the following criteria can be read out and preferably checked: pressure in the pressure lines of the hydraulic unit, hydraulic closing pressure provided, electrical parameters at the hydraulic unit (current, voltage, power consumption), temperature of the hydraulic oil, flow rate in the hydraulic lines of the hydraulic unit (leak detection), oil level in the hydraulic unit, vibrations in the motor of the hydraulic unit, machine messages for interruptions of the closing process, data of the upstream and / or downstream value chain.

[0176] In a corresponding embodiment of the present invention, based on the gist of the criteria which are met or not met, at least the causes can be automatically and unambiguously determined using at least one evaluation unit, or the list of causes can be at least further reduced.

[0177] The device according to the invention is designed to perform self-healing actions based on at least one determined cause. For the closing unit, these actions include, for example, reducing the SMO counter-holding pressure by activating an electrically controllable hydraulic valve (preferably with parallel monitoring of the positioning of the SMO cylinder), increasing the opening of the proportional valve to position the head (more force to close the press) and issuing a message to the maintenance personnel, as well as configuring the activation of the hydraulic functions (head and SMO) to close the press (ramp height, ramp duration, setpoints, etc.) to factory settings.

[0178] In an embodiment of the invention, the at least one evaluation unit is designed to detect defects and / or wear of a security scanner in the at least one machine.

[0179] For example, contamination of a security scanner in a machine designed as a tire curing press results in irregular machine stoppages, which, if they occur during the curing of a tire, usually results in an over-vulcanized tire and thus a reject.

[0180] In an embodiment of the invention, the at least one evaluation unit is designed to detect defects and / or wear of the security scanner of the at least one machine by evaluating the machine messages.

[0181] In an embodiment of the invention, the at least one evaluation unit is designed to detect a disconnection of at least one sensor of the at least one machine.

[0182] For example, if a sensor cable breaks, the sensor may be disconnected.

[0183] In an embodiment of the invention, the at least one evaluation unit is designed to detect a disconnection of at least one sensor of at least one machine by evaluating the machine messages and / or by evaluating the cycle times and / or the sub-cycle times.

[0184] In an embodiment of the invention, the at least one evaluation unit is designed to guide and detect required maintenance measures. In an embodiment of the invention, the at least one evaluation unit is designed to evaluate a machine message and / or to evaluate a current process step in a process cycle.

[0185] For example, the at least one evaluation unit is designed to evaluate the machine messages for an enable signal, in particular in the case of a tire curing press, and to compare the enable signal with a current process step of a process cycle.

[0186] In an embodiment of the invention, the at least one evaluation unit is designed to monitor the downtimes of the at least one machine, the development of the downtimes, in particular their increase, being also an indication of the need for maintenance measures.

[0187] In an embodiment of the invention, the at least one evaluation unit is designed to monitor sensor signals and / or messages from at least one machine safety system.

[0188] In an embodiment of the invention, the at least one evaluation unit is designed to evaluate a light barrier signal. Light barriers are often used to protect a safety area around a machine, for example around a tire curing press. As soon as the light barrier is triggered, the machine is stopped.

[0189] The invention allows visualization of machine messages and / or corresponding activation of safety devices by cycle interruption.

[0190] In an embodiment of the invention, the at least one evaluation unit is designed to detect defects and wear of the at least one pneumatic unit. To this end, in an embodiment of the invention, the evaluation unit is designed to ascertain the media consumption and / or the cycle time and / or the sub-cycle time which are directly or indirectly influenced by the state of the pneumatic unit, and / or to detect the air pressure by means of at least one pressure sensor, and / or to evaluate machine messages related to the pneumatic unit.

[0191] In an embodiment of the invention, the at least one evaluation unit is designed to detect defects in the compressed air supply of a pneumatic device of at least one machine. For this purpose, in a preferred embodiment of the invention, the evaluation unit is designed to monitor the pressure in the pneumatic device and / or in the compressed air supply.

[0192] In an embodiment of the invention, the at least one evaluation unit is designed to detect wear of at least one loading and / or unloading device of at least one machine. To this end, in an embodiment of the invention, the evaluation unit is designed to ascertain cycle times or sub-cycle times which are directly or indirectly influenced by the state of the loading and / or unloading device and / or to evaluate machine messages related to the loading and / or unloading device.

[0193] For example, there may be mechanical problems with the loading and / or unloading devices (eg, with the buffers) that prevent the loading and / or unloading devices from moving to the correct position.

[0194] In an embodiment of the invention, the at least one evaluation unit is designed to detect wear of at least one loading and / or unloading device of at least one machine.

[0195] In an embodiment of the invention, the at least one evaluation unit is designed to detect oil leaks in the at least one machine, which may occur for example at a connection location or at a crack / hole in an oil line.

[0196] In an embodiment of the invention, the at least one evaluation unit is designed to detect oil leaks in the at least one machine by evaluating machine data (eg oil volume, energy consumption) of the hydraulic unit.

[0197] A machine according to the invention comprises at least one device according to the invention for obtaining measurement data of the machine and at least one digitally controllable control element.

[0198] The tire curing press according to the invention comprises at least one device for obtaining measurement data of the machine according to the invention and at least one digitally controllable control element.

[0199] The method for obtaining measurement data of a machine according to the invention comprises at least the following steps: -a. Ascertaining at least one machine parameter of at least one monitored machine; b. automatically comparing at least one machine parameter that is known to the machine with a set value; -c. Automatically detect deviations that exceed a defined tolerance; -d. performing automatic condition monitoring of at least one monitored machine based on the detected deviation of at least one machine parameter; - e. automatically controlling at least one digitally controllable control element of at least one monitored machine to compensate for or at least reduce the detected deviation.

[0200] In a preferred embodiment of the present invention, a cause list containing possible causes for the detected deviations is then automatically populated based on at least one detected deviation.

[0201] In an embodiment of the present invention, the retrieved cause list is then automatically output.

[0202] In an advantageous embodiment of the invention, an automatic check of the list of possible causes for the detected deviation is performed using at least one criterion for unambiguously identifying at least one cause or for narrowing down the list of causes.

[0203] In an embodiment of the invention, the identified cause(s) or the narrowed list of causes is then automatically output.

[0204] In an embodiment of the invention, instructions for correcting the identified at least one cause are then automatically retrieved.

[0205] Preferably, at least one digitally controllable control element of at least one monitored machine is automatically selected which is suitable for compensating for or at least reducing the detected deviation.

[0206] Preferably, data is automatically read from at least one data source in parallel with the monitoring of at least one machine parameter or after detection of a deviation and used for automatic unambiguous (unique) identification of at least one cause or for narrowing down the list of causes based on defined criteria.

[0207] In an embodiment of the invention, automatic implementation of the defined instructions for eliminating the at least one cause then occurs.

[0208] In an embodiment of the invention, data is automatically read from at least one additional data source in parallel with the monitoring of at least one machine parameter or after detection of a deviation and used for automatic unambiguous identification of at least one cause or for narrowing down the list of causes based on defined criteria.

[0209] In an embodiment of the method according to the invention, it is designed as a method for obtaining measurement data of at least one tire curing press.

[0210] In a preferred embodiment of the method according to the invention, at least one device for obtaining measurement data of the machine according to the invention, the machine according to the invention and / or a tire curing press according to the invention is used.

[0211] A method according to the invention for digitally condition monitoring ("condition monitoring") of the cycle time of a machine (e.g. a tire curing press) is described below in an embodiment according to the invention using the example of a tire curing press:

[0212] Monitoring the cycle of a tire curing press to manufacture a tire from start to finish gives information on whether the machine in question meets the production requirements and design specifications. Monitoring the cycle over time based on individual sections or even individual movements gives detailed information on the condition of the tire curing press: early detection of possible machine defects, localization of problem areas and causes of problems during defect analysis and information for preventive maintenance. Whenever the target and actual times of individual machine movements or sections in the production cycle deviate from certain tolerances, this is an indication of some number of possible defects and defect causes.

[0213] In an embodiment of the present invention, the determined indicators are displayed by a digital end device (eg, a smart phone, a smart watch, a tablet, a notebook, a PC or a digital display panel).

[0214] This cycle time monitoring based on individual motions, and derived assistance for error analysis and error correction, is the focus of this embodiment of the present invention.

[0215] In an embodiment of the present invention, this detailed cycle time monitoring is supplemented by the following: - Link to collection and analysis of warning and fault messages from the machine, -Sensor monitoring of individual components, - Data-based comparison of several tire curing presses with other machines ("benchmarking", "collection of experience" / "knowledge pool" / "case database" creation), - Machine learning (ML) / artificial intelligence (AI) to predict the future behavior of machines, - 3D visualization technologies in the sense of augmented reality or virtual reality.

[0216] In an embodiment of the present invention, the cycle time of a machine (eg, a tire curing press) is monitored.

[0217] In an embodiment of the invention, the final (approximately 4-5; possibly flexibly adjustable) cycle times of a tire curing press or a group of tire curing presses (complete trenches / heating chambers) are displayed as an overview during operation and set with respect to the specifications of the tires to be manufactured. If the actual cycle time is higher than the target cycle time, the deviation and preferably instructions to check and optimally set the relevant assemblies or individual functions are output as a message. Exact thresholds and tolerances are predefined.

[0218] In an embodiment of the invention, signalling functions can be (de)activated. If required, operational data for the relevant assemblies or individual functions can be displayed in detail.

[0219] In an embodiment of the invention, if the total cycle time is not within target, instructions are given to check the subsystems (e.g., supply pressure for hydraulics or pneumatics) and / or to check assemblies or individual functions that are not within target / in a fault state and have associated impacts on their respective (process) parts.

[0220] Depending on the machine setup and associated functions, power / regulation in embodiments of the invention may be checked manually or automatically by sensors and adjusted manually or automatically by actuators.

[0221] For troubleshooting by the machine operator maintenance technician, in an embodiment of the invention, problem analysis and action suggestions for problem elimination are automatically assigned in advance to the indication of off cycle times according to the know-how of the machine expert and made available via the condition monitoring solution, if necessary.

[0222] In an embodiment of the invention, this is combined with a technical quick guide (and possibly links to online learning) and supported by component specific data from condition monitoring.

[0223] If the engineer is unable to improve the cycle time based on the instructions, further analysis by a machine expert is required. In an embodiment of the present invention, the processing of the instructions is digitally documented.

[0224] In an embodiment of the invention, the operational data of all assemblies or individual functions is stored for long term statistical evaluation and accessible to machine experts.

[0225] In an embodiment of the invention, cycle time monitoring and associated target-actual-comparison of travel times is used to derive leading indicators for machine productivity and / or availability.

[0226] In an embodiment of the invention, average values ​​of past cycles and predictions of future cycles are generated for each individual movement from statistical methods or using machine learning algorithms.

[0227] In an embodiment of the invention, the determined cycle time is displayed in tabular form (e.g. as total duration and duration per section), in an embodiment of the invention in detail in tabular form (i.e. all individual movements of a phase) or in graphical form, for example as a diagram (e.g. as total cycle duration and duration of individual phases).

[0228] In an embodiment of the present invention, metrics for productivity and availability are derived in conjunction with the collection and analysis of warning and fault messages from the machines.

[0229] The combination of cycle time monitoring and / or consumption monitoring with the collection and analysis of warning and fault messages as implemented in embodiments of the present invention provides considerable advantages.

[0230] If the machine (eg a heated press) is equipped with the necessary sensor technology for condition monitoring, in an embodiment of the invention this is derived directly from the operating behavior (actual values) and its development (trend).

[0231] In an embodiment of the present invention, all warning and fault messages are stored in long term memory for statistical analysis and accessible to mechanical experts.

[0232] In an embodiment of the invention, the processing of messages is digitally documented, ideally according to a defined schedule, in order to be able to make long-term analyses / correlations. The aim is to be able to carry out an analysis of the operating behavior of the machine from the most detailed possible recording of warning / error messages (fault analysis) and from the corrective actions taken (maintenance / action log files) and from statistical evaluation. Over time, in an embodiment of the invention, condition monitoring is realised in the interaction of state parameters [explicit information via sensors] and operating behavior in a given situation, using statistical methods / predictions.

[0233] In an embodiment of the invention, an overview of current warning and fault messages for a machine is displayed, including symbolic severity / criticality, message designation and timestamp.

[0234] In an embodiment of the invention, details of individual warning and fault messages for a machine are displayed with name, description, solution instructions, references to the same message on other machines with timestamps and links (e.g., product IDs) to products manufactured under the fault condition.

[0235] In an embodiment of the invention, a message overview of several machines (eg, tire curing presses) is output with an overview of the hazard, designation, machine location ("trench"), machine number and / or timestamp.

[0236] In an embodiment of the invention, individual components of at least one monitored machine are monitored by sensors.

[0237] In an embodiment of the invention, if the sensor system used reports a status value outside the respective tolerance range defined for the component in question, a warning or fault message is sent to the machine, which is then integrated into the solution according to the invention.

[0238] Conversely, the inclusion of sensor values ​​in embodiments of the present invention serves to localize and check for the plausibility of causes of cycle time deviations and the plausibility of causes of warning and fault messages.

[0239] In an embodiment of the present invention, a comparison (local or global) of warning and fault messages from a machine (e.g., a tire curing press) is used to draw conclusions about possible design and / or process improvements.

[0240] In an embodiment of the present invention, Machine Learning (ML) / Artificial Intelligence (AI) algorithms are used to predict the future behavior of a machine.

[0241] In an embodiment of the invention, average values ​​of past cycles and forecasts of future cycles are generated for each individual movement from statistical methods or using machine learning algorithms. Various statistical methods and machine learning algorithms can be used for this purpose, which can further be combined together and with each other.

[0242] The procedures differ fundamentally in how much input parameters, comparison / training data and result parameters can and must be processed.

[0243] Input parameters are for example: recipe parameters, machine parameters, cycle times, warning and fault messages, and / or sensor data.

[0244] A large number of data sets for input parameters are needed to check the validity of the statistical method and to "teach" the machine learning algorithm. In an embodiment of the invention, the results of the method and the method are compared to the next actual results, respectively. In an embodiment of the invention, by this repeated comparison, a suitable statistical method is determined or a machine learning model is trained.

[0245] Result parameters are, for example, future cycle times, warning and fault messages, and / or machine conditions (measured sensor data).

[0246] The quality of the prediction depends on the "training horizon" with example data: the further into the future one looks, the better the prediction naturally decreases.

[0247] In various embodiments of the present invention, the methods of cycle time monitoring, sensor monitoring, evaluating machine messages and monitoring media consumption are realized in relation to an apparatus for obtaining machine measurement data according to the present invention, a method for obtaining machine measurement data according to the present invention and a tire curing press according to the present invention.

[0248] Aspects of the invention are illustrated by way of example in the drawings. [Brief description of the drawings]

[0249] [Figure 1] 1 is a block diagram of an embodiment of an apparatus for obtaining measurement data from a machine according to the present invention; [Diagram 2] FIG. 2 is a further block diagram of an embodiment of an apparatus for obtaining measurement data from a machine according to the invention; [Diagram 3] FIG. 4 is a block diagram of another embodiment of an apparatus for obtaining measurement data of a machine according to the present invention; [Figure 4] FIG. 2 is a block diagram of the functional modules of an embodiment of a method for obtaining measurement data of a machine according to the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0250] 1 shows an embodiment of an apparatus (1) for obtaining measurement data of a machine (10) according to the invention, which has a determination device (2) for determining at least one machine parameter and an evaluation unit (3) for evaluating the data determined by means of the determination device (2).

[0251] The data captured by the capture device (2) can be transmitted directly or indirectly via a network (4) to the evaluation unit (3). "Indirectly" means that the data is first stored in a storage device (5). In addition, the captured data is stored in parallel in an external storage device (6), which is realized here as a cloud storage.

[0252] In the illustrated example, the grasping device (2) accesses the machine control device to grasp the machine data.

[0253] 2 is a schematic block diagram of a device (1) for obtaining measurement data from a machine (10) according to the invention applied to a tire curing press. The evaluation unit (3) is realized by means of an application running on a server (7). Outputs for the "energy monitoring" and "condition monitoring" functions can be output to an output device (8).

[0254] The control unit is further realized with the help of a server and applications running thereon. Based on the detected state deviations, it is possible to realize a self-healing process via feedback to the machine controller.

[0255] 3 shows a schematic diagram of the application of the device (1) for obtaining measurement data of a machine (10) according to the invention as a digital maintenance tool and in the sense of a self-healing tire curing press. Information about the maintenance or control requirements of the monitored tire curing press is derived based on cycle time monitoring, evaluation of machine messages and monitoring of media consumption (in this case energy consumption).

[0256] FIG. 4 shows diagrammatically the use of data and functions of an apparatus (1) for obtaining measurement data of a machine (10) according to the present invention in combination with statistical or machine learning models to enable predictions about the duration of cycles and sub-cycles of a tire curing press. [Explanation of symbols]

[0257] 1. Equipment for obtaining measurement data from a tire curing press 2 Grasping device 3 Evaluation Unit

Claims

1. A device (1) for obtaining measurement data of a tire curing press, configured for monitoring and controlling at least one tire curing press, comprising at least one grasping device (2) for grasping at least one machine parameter of the at least one tire curing press to be monitored, at least one evaluation unit (3) for evaluating the at least one grasped machine parameter, and at least one control unit, at least one grasping device (2), at least one evaluation unit (3) and at least one control unit are arranged to realize a control loop, at least one evaluation unit (3) is designed to monitor a state of the at least one monitored tire curing press on the basis of the at least one detected machine parameter, a deviation is detectable by the at least one evaluation unit (3) by comparing the at least one detected machine parameter with a set value, An apparatus (1) for obtaining measurement data of a tire curing press, wherein at least one digitally controllable control element of the at least one tire curing press being monitored is controllable by the at least one control unit based on the detected deviation in order to compensate for or at least reduce the detected deviation.

2. 2. The device (1) for obtaining measurement data of a tire curing press as claimed in claim 1, characterized in that the cycle time and / or sub-cycle time, at least one media consumption, sensor-detectable status data and / or machine messages of the at least one tire curing press monitored by the at least one grasping device (2) and / or the at least one evaluation unit (3) are detectable or readable as machine parameters and can be used to monitor the status of the at least one tire curing press.

3. 3. The device (1) for obtaining measurement data of a tire curing press according to claim 1 or 2, characterized in that the at least one evaluation unit (3) is designed to automatically detect at least one cause underlying the deviation or at least automatically define possible causes.

4. 4. The device (1) for obtaining measurement data of a tire curing press as claimed in claim 3, characterized in that the at least one evaluation unit (3) is designed to read out additional data if deviations outside the range of tolerances are detected, by means of whose evaluation the causes in connection with the detected deviations can be automatically identified or at least further narrowed down.

5. 5. The device (1) for obtaining measurement data of a tire curing press as claimed in claim 3 or 4, characterized in that at least one digitally controllable control element of the tire curing press, which is suitable for compensating for or at least reducing the detected deviation, can be automatically identified by the at least one evaluation unit on the basis of the at least one identified cause for the at least one detected deviation.

6. 6. The device (1) for obtaining measurement data of a tire curing press as claimed in claim 5, characterized in that the control parameters necessary for controlling the at least one digitally controllable control element of the tire curing press in order to compensate for or at least reduce the detected deviation are automatically read out and / or derived based on the at least one identified cause for the at least one detected deviation, whereby the at least one digitally controllable control element can be automatically controlled by the at least one evaluation unit using the corresponding control parameters.

7. monitoring the cycle time and / or the sub-cycle time identifies the control variables; 7. The device (1) for obtaining measurement data of a tire curing press as claimed in any one of claims 1 to 6, characterized in that the at least one evaluation unit (3) is designed to identify detected causes for a time deviation using at least one additionally monitored machine parameter from the media consumption and / or sensor monitoring and / or machine message group of the monitored at least one tire curing press.

8. monitoring at least one media consumption to identify said control variable; The device (1) for obtaining measurement data of a tire curing press according to any one of claims 1 to 6, characterized in that the at least one evaluation unit (3) is designed to identify the detected cause for a consumption deviation using at least one additionally monitored machine parameter from the cycle times and / or sub-cycle times and / or sensor monitoring and / or machine message groups of the monitored at least one tire curing press.

9. A tire curing press, characterized in that it comprises at least one device (1) for obtaining measurement data according to any one of claims 1 to 8 and at least one digitally controllable control element.

10. 1. A method for obtaining measurement data for at least one tire curing press, comprising the steps of: At least the following steps: a. determining at least one machine parameter of at least one tire curing press being monitored; b. automatically comparing said at least one known machine parameter to a set value; c. Automatically detect deviations that exceed a defined tolerance; d. performing automatic condition monitoring of the at least one monitored tire curing press based on the detected deviation of the at least one machine parameter; e. automatically controlling at least one digitally controllable control element of the at least one monitored tire curing press to compensate for or at least reduce the detected deviation; A method comprising the steps of:

11. 11. The method for obtaining measurement data of at least one tire curing press as claimed in claim 10, characterized in that based on the at least one detected deviation a cause list is automatically loaded which comprises possible causes for the detected deviation.

12. 12. A method for obtaining measurement data of at least one tire curing press as claimed in claim 11, characterized in that an automatic check of the list of possible causes for the detected deviation is performed using at least one criterion for unambiguous identification of the at least one cause or for narrowing down the list of causes.

13. A method for obtaining measurement data of at least one tire curing press as described in any one of claims 11 and 12, characterized in that at least one digitally controllable control element of the at least one tire curing press being monitored is then automatically selected which is suitable for compensating for or at least reducing the detected deviation.

14. 14. The method for obtaining measurement data of at least one tire curing press according to any one of claims 10 to 13, characterized in that data is automatically read from at least one additional data source in parallel to the monitoring of the at least one machine parameter or after detection of a deviation and used for an automatic unambiguous identification of the at least one cause or for narrowing down the list of causes based on defined criteria.

15. According to the present invention, there is provided a method for obtaining measurement data of at least one tire curing press according to any one of claims 10 to 14, characterized in that at least one device (1) for obtaining measurement data of a tire curing press according to any one of claims 1 to 8 or at least one tire curing press according to claim 9 is used.

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