Method and device for acquiring measurement data of a machine, and tire curing press comprising a device for acquiring measurement data

Abstract

The invention relates to a method and a device for acquiring measurement data of a machine, and to a tire curing press comprising a device for acquiring measurement data. According to the invention, measurement data are acquired and digitally processed in order to obtain information on the state of a machine and to allow automated state control of the machine.

Description

[0001] Method and device for recording measurement data of a machine and tire heating press comprising a device for recording measurement data

[0002] The invention relates to a method and a device for recording measurement data of a machine.

[0003] Furthermore, the invention relates to a tire heating press comprising at least one device for recording measurement data of a machine.

[0004] In embodiments, the invention comprises a digital application for machines, in particular for tire curing presses.

[0005] Conventional tire curing presses already feature a digital control system that can be used to control the individual process steps, which vary depending on the machine's configuration. In addition, many conventional tire curing presses also feature an evaluation unit that can detect certain functions or malfunctions of the tire curing press and generate corresponding machine messages.

[0006] For known tire curing presses, these machine messages must be read and interpreted manually by the user, operator or maintenance personnel.

[0007] For production machines, including tire curing presses, it is generally important to achieve the shortest possible process runtimes to enable high throughput. The process runtime is specified for a specific machine configuration and is maintained within a certain tolerance range when a new or wear- and defect-free machine is commissioned according to specifications.

[0008] However, during the operation of a machine, wear and tear on the wear-prone assemblies or components as well as possible defects occur, which have a negative impact on the achievable process runtime.

[0009] Furthermore, it is generally important for production machines, including tire curing presses, to achieve the lowest possible media consumption in order to enable efficient media use.

[0010] The media consumption, for example in the form of the (electrical) energy required for a process run, the compressed air, the oil or hydraulic oil, nitrogen, steam or hot water, is specified for a certain machine and process specification and is maintained within a certain tolerance range when a new or wear- and defect-free machine is commissioned according to the specifications.

[0011] However, with the operation of a machine, wear and tear on the wear-prone assemblies or components as well as defects may occur, which can have a negative impact on the achievable media consumption.

[0012] It is therefore an object of the invention to provide a device for recording measurement data of a machine and a tire curing press which solves at least some of the aforementioned problems.

[0013] This object is achieved according to the invention by a device for detecting measurement data of a tire heating press according to patent claim 1 and a tire heating press according to patent claim 9.

[0014] A further object of the invention is to provide a method for acquiring measurement data of a machine which solves at least some of the aforementioned problems.

[0015] This object is achieved according to the invention by a method for recording measurement data of a tire heating press according to patent claim 10.

[0016] Advantageous aspects of the invention are claimed in the dependent claims. The features disclosed below of a device for acquiring measurement data from a machine, a tire curing press, and a method for acquiring measurement data from a machine are part of the invention in all feasible combinations.

[0017] In embodiments of the invention, a digital solution for the condition monitoring and control of machines, in particular tire curing presses, tire building machines, mixing machines, e.g. for rubber, or for machines from food and / or edible oil production, is realized.

[0018] A device according to the invention for detecting measurement data of a machine is designed to monitor and control at least one machine and has at least one detection device for detecting at least one machine parameter of the at least one monitored machine, at least one evaluation unit for evaluating the at least one detected machine parameter and at least one control unit.

[0019] According to the invention, at least one detection device, at least one evaluation unit and at least one control unit are arranged to implement a control loop, wherein at least one evaluation unit is designed based on the at least one detected machine parameter for condition monitoring of the at least one monitored machine, wherein a deviation can be detected with the aid of the at least one evaluation unit by comparing the at least one detected machine parameter with a target value, and wherein at least one digitally controllable control element of the at least one monitored machine can be controlled with the aid of the at least one control unit based on the detected deviation to compensate for or at least to reduce the detected deviation.

[0020] Preferably, with the aid of the at least one detection device and / or the at least one evaluation unit, cycle 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 can be detected or retrieved as machine parameters and can be used for status monitoring of the at least one machine.

[0021] In advantageous embodiments of the invention, the at least one evaluation unit is designed to automatically determine the at least one underlying cause of the detected deviation or at least to automatically narrow down the possible causes. Particularly preferably, in the case of a detected deviation outside defined tolerances, the at least one evaluation unit is designed to retrieve additional data, the evaluation of which, in conjunction with the detected deviation, allows the cause to be automatically identified or at least further narrowed down.

[0022] Preferably, with the aid of the at least one evaluation unit, based on the at least one identified cause for the at least one detected deviation, at least one digitally controllable control element of the machine can be automatically identified, which is suitable for compensating or at least reducing the detected deviation.

[0023] Particularly advantageous is that the at least one control parameter required to control the at least one digitally controllable control element of the machine to compensate or at least to reduce the detected deviation can be automatically retrieved and / or derived based on the at least one identified cause for the at least one detected deviation, so that the at least one digitally controllable control element can be automatically controlled with the at least one corresponding control parameter using the at least one control unit.

[0024] In embodiments of the invention, the controlled variable is predetermined by monitoring the cycle and / or subcycle times (primary monitored machine parameters) and the at least one evaluation unit is designed to determine the cause detected for a time deviation with the aid of at least one additionally monitored machine parameter from the group of media consumption and / or sensory monitoring and / or machine messages of the at least one monitored machine.

[0025] In embodiments of the invention, the controlled variable is predetermined by monitoring at least one media consumption (primary monitored machine parameter) and the at least one evaluation unit is designed to determine the cause detected for a consumption deviation with the aid of at least one additionally monitored machine parameter from the group of cycle and / or subcycle times and / or sensory monitoring and / or machine messages of the at least one monitored machine.

[0026] In embodiments of the invention, the device is designed to acquire measurement data from a tire curing press. Using the at least one acquisition device, the cycle time required to execute a process cycle can be acquired as a machine parameter in embodiments of the invention.

[0027] In advantageous embodiments of the invention, at least one subcycle time corresponding to the duration of a defined process step or a defined sequence of process steps can be detected by means of the at least one detection device.

[0028] Preferably, the cycle time required for carrying out a process cycle and at least one sub-cycle time can be recorded using the at least one recording device.

[0029] In preferred embodiments of the invention, the process cycle is divided into subcycles, each subcycle corresponding to a defined machine movement or a sequence of machine movements.

[0030] In particularly advantageous embodiments of the invention, the duration of each of the defined subcycles can be detected by means of the at least one detection device.

[0031] In order to record the cycle and / or subcycle times, the at least one recording device in corresponding embodiments of the invention is designed to retrieve data from the machine control and / or to evaluate machine messages and / or to monitor the respective machine using sensors.

[0032] The machine control of the at least one monitored machine specifies the start time of a cycle or sub-cycle, for example, with a control command and detects the end time of a cycle or sub-cycle based on a measured value, for example in the form of the activation of a switch / button when a certain position is reached, to which it reacts with a further control command to start the next process step.

[0033] In corresponding embodiments with the retrieval of data from the machine control system, the at least one detection device is configured, for example, to detect a first cycle or subcycle time by measuring the time between a first control command initiating the first cycle or subcycle and a second control command initiating the next, second cycle or subcycle, or a detected event signaling the end of the first cycle or subcycle. Furthermore, certain machine messages can also correspond to the start or end of a cycle or subcycle, so that the detection of a corresponding machine message using the at least one detection device can define the start or stop time of a cycle or subcycle.

[0034] Furthermore, in embodiments of the invention, the start and end of cycles or subcycles can be detected by sensory monitoring of the at least one monitored machine. For example, the start and end of certain process steps can be detected using imaging monitoring of the at least one machine, particularly when movements are involved.

[0035] In various embodiments of the invention, the above-mentioned ways of detecting cycle and / or subcycle times are combined in all possible options.

[0036] The at least one evaluation unit of the device according to the invention for detecting measurement data of a machine is designed for monitoring the condition of the at least one monitored machine based on the cycle and / or subcycle times detected by the at least one detection device.

[0037] In preferred embodiments of the invention, condition monitoring within the meaning of the invention is the specific condition monitoring of the at least one monitored machine as a whole, as well as at the assembly and / or functional level. Condition monitoring is particularly preferably implemented at the component level.

[0038] The at least one evaluation unit is designed for condition monitoring, preferably for retrieving stored target values, tolerances and / or limit values ​​of at least the cycle time, preferably additionally of all defined subcycles.

[0039] For example, it is designed to retrieve the target values ​​from a local storage device as part of the device for acquiring measurement data and / or from an external data storage device, for example as part of a cross-machine database at a production site or in the cloud. Preferably, an associated tolerance range or limit value is retrieved for each of the at least one cycle and / or subcycle times. In principle, it is also possible according to the invention for only the tolerance ranges and / or limit values ​​of all cycle / subcycle times to be retrieved. Furthermore, the at least one evaluation unit is designed to compare the recorded actual cycle and / or subcycle times with the target values ​​and / or the tolerance ranges or the limit values ​​for the target values.

[0040] If at least one of the recorded times falls outside the tolerance range of the target values ​​defined for the overall process and / or the respective process step or exceeds or falls below the respective limit value, the at least one evaluation unit is designed to detect a time deviation.

[0041] The detected time deviation corresponds to the control deviation, which must be automatically compensated or at least reduced by suitable measures.

[0042] In embodiments of the invention, the at least one evaluation unit is designed to generate a deviation signal upon detection of a time deviation, which signals the deviation of at least one of the detected times.

[0043] In embodiments of the invention, the at least one evaluation unit is designed to output the at least one deviation signal upon detection of a time deviation.

[0044] Preferably, the deviation signals are individually identifiable according to the respective cycle or subcycle, so that the deviation signal can be used to determine which cycle / subcycle deviates from the target value(s).

[0045] In embodiments of the invention, a deviation message can be generated with the aid of the at least one evaluation unit depending on the individual deviation between the target and actual time, which identifies at least the deviating cycle and / or subcycle.

[0046] In embodiments of the invention, the evaluation unit is designed for the automated detection of at least one cause underlying the time deviation or at least for the automated limitation of the possible causes.

[0047] By assigning subcycles to specific process steps or machine movements, it is possible to narrow down the possible causes to those that influence the duration of the respective subcycle based on the identification of the deviating subcycle. In advantageous embodiments of the invention, cause lists assigned to the individual cycles or subcycles can be retrieved using the at least one evaluation unit. These lists contain the various possible causes for the respective time deviation.

[0048] Causes for a deviation in the cycle or subcycle time can be, for example, wear, defects, incorrect settings, material and / or production errors.

[0049] Preferably, each cause listed in the list of causes is assigned at least one criterion, whereby the examination of the presence or absence of the at least one criterion can be used to determine whether the respective cause applies or can apply.

[0050] In embodiments of the invention, the at least one evaluation unit with the deviation signal and / or the deviation message is designed to output the respective cause list and / or criteria list.

[0051] By collecting additional data, the cause can be clearly identified from the list of causes or the list of causes can at least be further narrowed down.

[0052] Monitoring a machine's cycle times and / or media consumption offers the advantage, compared to the primary collection and analysis of alarm and fault messages, of being able to detect previously unnoticed, gradual deteriorations in the machine process ("process drift") very early on. Furthermore, monitoring cycle times, especially subcycle times, or media consumption can support the search for the cause of an error message if it is unclear.

[0053] In advantageous embodiments of the invention, the at least one evaluation unit is designed to retrieve additional data in the event of a detected time deviation, by evaluating which, in conjunction with the detected time deviation, the cause can be automatically identified or at least further narrowed down.

[0054] In embodiments of the invention, the at least one evaluation unit is designed to correlate the detected (sub-)cycle deviations with the additionally retrieved data.

[0055] In embodiments of the invention, the additionally retrievable data includes sensor data and / or machine messages and / or media consumption, each relating to the at least one monitored machine and / or corresponding machines. By evaluating sensor data, which may be provided by machine-related measured values, machine messages and / or media consumption, criteria for the presence or absence of certain causes for the time deviation(s) can be verified in corresponding embodiments of the invention with the aid of the at least one evaluation unit.

[0056] According to the invention, the at least one evaluation unit is designed to carry out an automated elimination of the cause based on the determined cause or the determined possible causes for the at least one detected deviation with the aid of the at least one control unit and / or to issue suggestions or instructions for further cause determination.

[0057] Preferably, the at least one evaluation unit is designed to automatically retrieve a list of measures based on the at least one determined cause, which includes at least the digitally controllable control elements of the monitored machine that can be used to compensate for and / or reduce the detected deviation.

[0058] Preferably, the list of measures contains concrete measures to be taken in the sense of controlling at least one digitally controllable control element of the monitored machine, so that at least one measure is clearly assigned depending on the cause identified.

[0059] Particularly preferred is that the list of measures also contains the control parameters to be applied.

[0060] Compared to conventional control loops, the inventive approach in the corresponding embodiments is characterized by the combination of different data sources (e.g. cycle times, media consumption, sensor data, alarm and fault messages), by the use of statistical procedures and ML methods as well as by local, regional or global benchmarking via a centrally structured data pool.

[0061] In corresponding embodiments, the implemented control loop can, for example, serve to restore the intended cycle time of the tire curing press and the target energy and media consumption.

[0062] In various embodiments of the invention, the cycle and / or subcycle time, at least one media consumption, and / or the sensor monitoring of the at least one monitored machine can be the primary monitored machine parameter and thus the controlled variable of the control loop. In embodiments of the invention, multiple parallel control loops for different controlled variables can also be implemented.

[0063] In embodiments of the invention, a HoT architecture is used to integrate the control loop. Based on the described methods for determining the machine's status (including cycle time monitoring, recording alarm and fault messages, monitoring energy and media consumption, etc.), the manipulated variable for the corresponding machine function can be determined in a web application in corresponding embodiments of the invention. The information can then be made available to the machine control system via the IoT gateway. By continuously feeding the machine data back to a cloud or on-premise application, a closed control loop is realized in corresponding embodiments of the invention.

[0064] In embodiments of the invention, a control loop is implemented that intervenes in the machine control system depending on the detected time deviation or the identified cause of the time deviation (e.g., automatic provision of digital parameters in the machine PLC, changing configurations) or uses mechanical actuators for targeted intervention in the system to be controlled, thus creating a "self-healing" tire curing press. Both the intervention in the machine control system or the provision of an interface thereto, digital actuators, and digitally controllable (e.g., mechanical / electromechanical) actuators are digitally controllable control elements within the meaning of the invention.

[0065] For example, the control of the hydraulic system can be regulated based on data depending on the cycle time and / or energy consumption, so that signs of wear have no influence on the performance and energy consumption of the machine up to a certain point.

[0066] To implement a fully self-healing machine, digitally configurable actuators are used for certain functions (e.g., pneumatic cylinders of a swivel mechanism). Variables (digital parameters) are stored in the machine control system to configure the actuators. If a deviation in the controlled variable (e.g., cycle or subcycle time) occurs, the digital control parameters are subsequently adjusted to achieve the target cycle time again.

[0067] The sensory monitoring of the at least one machine, for example a tire curing press, implemented in embodiments of the invention is realized by means of at least one sensor arranged to acquire data relating to the at least one monitored machine.

[0068] The at least one sensor can be an integral part of the at least one machine to be monitored or a sensor arranged in, on or in the area of ​​the at least one machine to be monitored as part of the device for recording measurement data.

[0069] As such a sensor, in various embodiments of the invention, for example, at least one of the following sensors is arranged for corresponding use: pressure sensor and / or flow sensor (e.g. for steam, air, nitrogen or hydraulic oil) and / or sensor for measuring electrical voltages, currents or power and / or vibration sensor and / or temperature sensor and / or particle monitor and / or humidity sensor and / or viscosity sensor and / or imaging sensor and / or speed sensor and / or acceleration sensor and / or force sensor and / or sensor for determining valve states.

[0070] In embodiments of the invention, the evaluation unit is designed to retrieve and evaluate the sensor data (measured values) of at least one sensor that is arranged to acquire data relating to the at least one monitored machine.

[0071] In embodiments of the invention, the evaluation unit is designed to retrieve and evaluate the sensor data (measured values) when a deviation of at least one monitored machine parameter occurs. This event-based data retrieval ensures smaller data volumes to be processed compared to continuous retrieval.

[0072] In other embodiments of the invention, the at least one evaluation unit is designed to continuously retrieve the sensor data. Continuous data retrieval provides a comprehensive database that can be used, for example, with the help of artificial intelligence (AI) and / or machine learning (ML) to predict the machine condition.

[0073] A combination of retrieving sensor data when a deviation occurs for a first group of sensor data, comprising at least the sensor data acquired using a sensor, with a continuous retrieval of the sensor data from a second group of sensor data is also possible in embodiments of the invention. In advantageous embodiments of the invention, target values ​​can be retrieved for the sensor data acquired in the respective configuration using the at least one evaluation unit, and the acquired sensor data can be compared with the target values. If a measured value lies outside any defined tolerances around the target value, a measured value deviation can be detected using the at least one evaluation unit.

[0074] The deviation of the measured values ​​of one or more sensors from the target values ​​may be an indicator of specific causes, errors or defects.

[0075] In advantageous embodiments of the invention, a list of causes can be called up for various measured value deviations or combinations of measured value deviations using the at least one evaluation unit so that the cause, the error or the defect can be automatically and clearly identified or the list of causes can at least be automatically further restricted using the at least one evaluation unit.

[0076] In the following, various sensors and their arrangement in the monitored system are described using the application example of a tire curing press, so that they can be used to support the diagnosis of the aforementioned systems / subsystems.

[0077] In embodiments of the invention, a pressure sensor is arranged for diagnosing the hydraulic system. For example, it is arranged in the pressure line of the hydraulic unit to measure the hydraulic pressure, so that the hydraulic pressure provided by the hydraulic unit can be checked.

[0078] In embodiments of the invention, a pressure sensor is arranged for diagnosing the pneumatic system. For example, it is arranged in the central compressed air supply line of the machine to measure the pressure of the pneumatic system.

[0079] In embodiments of the invention, a pressure sensor is arranged for diagnosing the heating media. For example, it is arranged in at least one supply line for the heating media (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 system (wear of heating valves, etc.). In embodiments of the invention, a flow sensor is arranged for diagnosing the hydraulic system. For example, it is arranged in the pressure line of the hydraulic unit to measure the flow rate of the hydraulic oil. Using this arrangement, the condition of the hydraulic system can be checked for leaks, among other things.

[0080] In embodiments of the invention, a flow sensor is arranged for diagnosing the pneumatic system. For example, it is located in the machine's central compressed air supply to measure the flow / volume of compressed air in the pneumatic system. This arrangement allows the status of the pneumatic system to be checked, including for leaks.

[0081] In embodiments of the invention, a flow sensor is arranged for diagnosing the heating media. For example, it is arranged in at least one supply line for the heating media (steam, nitrogen, hot water, etc.) to measure the flow / volume of the heating media. The pressure in the supply line affects, for example, the vulcanization process (product quality) and the condition of the heating system (wear of heating valves, etc.), as well as the condition of the rubber bellows.

[0082] In embodiments of the invention, a power meter is provided for diagnosing the hydraulic system. For example, it is integrated into the electrical supply of the hydraulic unit in the control cabinet, allowing the power consumption (motor current, voltage) of the hydraulic unit to be monitored. The power consumption of the hydraulic unit is influenced, for example, by wear on the hydraulic unit and / or the condition of the hydraulic system.

[0083] In embodiments of the invention, a power meter is arranged for diagnosing the servo swivel drives, for example, of at least one loading and / or unloading device of a corresponding tire curing press. For example, it is integrated into the electrical supply of the servo motors to measure the electrical characteristics (voltage, current, power consumption). This arrangement makes it possible to determine, for example, the function and condition of the swivel mechanism (wear on bearings, gears, etc.).

[0084] In embodiments of the invention, a vibration sensor is arranged for diagnosing the hydraulic system. For example, it is arranged on the motor housing of the hydraulic unit so that the vibrations of the motor can be monitored during operation. This arrangement makes it possible to detect, for example, wear on the hydraulic unit, particularly with regard to the motor or the pump. In embodiments of the invention, a temperature sensor is arranged for measuring the ambient temperature of the machine. For example, it is arranged on the control cabinet. The ambient temperature can be used, for example, as a reference for the machine's other process parameters (e.g., oil temperature, external heating temperature, condensation of steam lines).

[0085] In embodiments of the invention, a temperature sensor is arranged to measure the temperature of the green tire. For example, it is arranged on the green tire stand and / or on the loading mechanism to measure the outside temperature of the green tire. The green tire temperature influences the vulcanization process and product quality.

[0086] In embodiments of the invention, a temperature sensor is arranged to measure the temperature of the vulcanized tire. For example, it is arranged on the unloading mechanism to measure the outside temperature of the tire. The tire temperature is influenced by the vulcanization process and affects product quality.

[0087] In embodiments of the invention, a temperature sensor is arranged in the PCI (after-treatment device for a vulcanized tire) to measure the tire temperature. For example, it is located in the respective cell of the PCI to measure the tire's external temperature. This arrangement allows the effects of tire temperature on the PCI function / product quality to be monitored.

[0088] In embodiments of the invention, a temperature sensor is arranged on the discharge conveyor belt to measure the tire temperature. For example, it is arranged at the conveyor belt's storage locations to measure the tire's external temperature. This arrangement allows the effects of tire temperature on product quality and / or subsequent processes in the value chain to be monitored.

[0089] In embodiments of the invention, a particle monitor is arranged to monitor the hydraulic system. For example, it is arranged in the tank of the hydraulic unit to detect particles, such as air pockets or metal particles, in the hydraulic oil. This arrangement allows the oil quality and condition of the hydraulic system to be monitored. In embodiments of the invention, a moisture sensor is arranged to monitor the rubber bellows. For example, it is arranged in the heating point to detect a bellows leak during operation. This arrangement allows the condition of the bellows (a wear part) to be monitored during production.

[0090] In embodiments of the invention, a viscosity sensor is arranged to monitor the hydraulic system. For example, it is located in the tank of the hydraulic unit to measure the viscosity of the hydraulic oil. This arrangement allows the oil condition (including aging, etc.) and the condition of the hydraulic system to be monitored.

[0091] In embodiments of the invention, a sensor for utilizing imaging techniques is arranged to monitor the rubber bellows. For example, it is positioned in front of the heating point with different viewing angles on the bellows to monitor the bellows' geometry during operation. This arrangement allows the condition of the bellows (a wear part) to be monitored during production.

[0092] In embodiments of the invention, a sensor for utilizing imaging techniques is arranged to monitor the wear of the mold / sliding plates. For example, it is positioned in front of the heating point with different viewing angles on the mold segments / sliding plates to monitor the geometry of the mold segments / sliding plates.

[0093] In embodiments of the invention, a speed and / or acceleration sensor is arranged to monitor a swivel drive of a loading and / or unloading device. For example, it is mounted on the swivel arm to monitor the movement profile (speed, acceleration) of the swivel arm. This arrangement allows wear or incorrect adjustment of the swivel mechanism to be detected.

[0094] In embodiments 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, it is arranged on the pivot arm to monitor the movement profile (speed, acceleration) of the lifting mechanism, allowing wear or incorrect adjustment of the lifting mechanism to be detected.

[0095] In embodiments of the invention, a speed and / or acceleration sensor is arranged to monitor the vertical movement of the PCI cells. For example, it is mounted on a lifting cylinder to monitor the movement profile (speed, acceleration) of the lifting mechanism, allowing wear or incorrect adjustment of the lifting mechanism to be detected.

[0096] In embodiments of the invention, a speed and / or acceleration sensor is arranged to monitor the vertical movement of the head section (press upper section). For example, it is mounted on the head section to monitor the movement profile (speed, acceleration) of the head section, allowing wear or incorrect adjustment of the lifting mechanism to be detected.

[0097] In embodiments of the invention, a force sensor is arranged to monitor a swivel drive of a loading and / or unloading device. For example, it is mounted on the swivel arm to monitor the force distribution during swiveling. This arrangement allows wear or incorrect adjustment of the swivel mechanism to be detected.

[0098] In embodiments of the invention, a force sensor is arranged to monitor the bellows extension cylinder. For example, it is mounted on the bellows extension cylinder to monitor the force profile of the bellows extension cylinder during production, thus enabling wear detection or detection of incorrect settings / configurations.

[0099] In embodiments of the invention, a force sensor is arranged to monitor the segment mold actuation. For example, it is arranged on the lifting cylinder of the segment mold actuation to monitor the force curve of the segment mold actuation during production, thus enabling wear detection of the mold or the segment mold actuation, or detecting incorrect settings / configurations.

[0100] In embodiments of the invention, the at least one evaluation unit is designed to retrieve and evaluate machine messages from the at least one monitored machine.

[0101] Machine messages are messages that are usually automatically generated by the control system of the respective machine, depending on its status. In particular, alarm and / or fault messages are such machine messages, but they can also include general status messages, for example. Depending on the monitored machine and machine software / PLC software, there may be between 500 and 1,500 different machine messages. These messages are currently not standardized in their type and error code and depend on individual customer specifications and the respective machine control system. In preferred embodiments of the invention, these machine messages are so precise and specific that the user can directly determine the cause / source of the error and, if necessary, even receive instructions for action.

[0102] In embodiments of the invention, the at least one evaluation unit is designed to retrieve and evaluate machine messages of the at least one monitored machine when a deviation of the at least one monitored machine parameter occurs.

[0103] In other embodiments of the invention, the at least one evaluation unit is designed to continuously retrieve the machine messages of the at least one monitored machine. Continuous data retrieval provides a comprehensive database that can be used, for example, with the help of artificial intelligence (AI) and / or machine learning (ML) to predict the machine's condition.

[0104] A combination of retrieving machine messages when a deviation occurs for a first group of machine messages with a continuous retrieval of the machine messages of a second group is also possible in embodiments of the invention.

[0105] In embodiments 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. Depending on the machine message and its frequency or the frequency trend, this is an indicator of the need for maintenance measures in embodiments of the invention.

[0106] In embodiments of the invention, the at least one evaluation unit is configured to determine and / or store the maximum, minimum, and / or average duration of the occurrence of specific machine messages, the assignment of machine messages to a specific product ID, and / or the assignment of machine messages to specific assemblies or parts of the at least one monitored machine. In embodiments of the invention, the at least one evaluation unit is configured to retrieve and evaluate the consumption of at least one consumable medium of the at least one monitored machine.

[0107] In embodiments, the consumption of the following exemplary consumables can be retrieved using the evaluation unit: the electrical energy required for a cycle or a subcycle, the amount of compressed air, oil or hydraulic oil, nitrogen, water, steam or hot water required.

[0108] In embodiments of the invention, the evaluation unit is designed to retrieve and evaluate the consumption of at least one consumable medium when a deviation of the at least one monitored machine parameter occurs.

[0109] In other embodiments of the invention, the at least one evaluation unit is designed to continuously retrieve the consumption of at least one consumable medium.

[0110] A combination of retrieving media consumption when a deviation occurs for a first group of media consumptions with a continuous retrieval of the media consumption of a second group of media consumptions is also possible in embodiments of the invention.

[0111] In advantageous embodiments of the invention, target values ​​for the at least one media consumption that can be retrieved in the respective configuration can be retrieved using the at least one evaluation unit, and the recorded media consumption can be compared with the target values. If a consumption value lies outside any defined tolerances around the target value, a consumption deviation can be detected using the at least one evaluation unit.

[0112] The deviation of at least one media consumption from the target values ​​may be an indicator of specific causes, errors or defects.

[0113] In advantageous embodiments of the invention, a list of causes for various consumption deviations or combinations of consumption deviations can be retrieved using the at least one evaluation unit, so that the cause, error, or defect can be automatically and clearly identified using the at least one evaluation unit, or the list of causes can at least be automatically further restricted. In embodiments of the invention, the device for acquiring measurement data from a machine has 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, which is / are preferably designed for data storage and / or evaluation for multiple machines.

[0114] In embodiments of the invention, additional data sources are, for example, other machines, preferably of the same machine type, which are, for example, identical or almost identical in construction, processes or devices arranged along the value chain upstream or downstream of the at least one monitored machine, a central storage and / or evaluation unit which, for example, has greater resources for carrying out extensive data evaluations or can access a larger amount of data, design data of the at least one monitored machine and / or the CAD model of the at least one monitored machine.

[0115] The central storage and / or evaluation unit can be implemented, for example, on a local server, in particular at the installation site (e.g. production site) of the at least one monitored machine, and / or on a cloud server.

[0116] The use of a central storage and / or evaluation unit and / or control unit saves additional capacities for data processing on each individual machine and, in embodiments of the invention, enables the results of the data evaluation to be displayed via mobile data technology regardless of location, as well as local, regional or global benchmarking of various monitored machines.

[0117] In embodiments of the invention, the at least one evaluation unit is designed to carry out a benchmark - i.e. the data comparison of several monitored machines (e.g. tire curing presses) locally in a plant, regionally for several plants and globally across many / all plants.

[0118] The integration of upstream process steps in product manufacturing (e.g. mixers, extrusion, and tire construction in tire manufacturing) and downstream process steps (including quality control) can be used in embodiments of the invention with the aid of the at least one evaluation unit to diagnose the machine condition and / or the product quality of the individual product (e.g., tires). In embodiments of the invention, for example, the tire construction is specified by information on the dimensions of the (green) tire (e.g., diameter and width), the weight, the composition of the rubber compound(s) of the green tire, and / or the (layer) structure of the green tire, and can be retrieved from a data source with the aid of the at least one evaluation unit. This allows, for example, the specified weight of the green tire to be taken into account as an influencing factor on the duration or media consumption of certain movements in the sense of subcycles.

[0119] By way of example, in corresponding embodiments of the invention, a feedback loop from the quality control to a monitored tire curing press is established in order to provide a basis for the effects of the process parameters of the tire curing press on the product quality.

[0120] By integrating the further process steps of the value chain, product-related data can be made available in embodiments of the invention, taking the entire value chain into account.

[0121] For example, in corresponding embodiments of the invention, the energy and / or material requirements for the production of a tire can be identified. The data basis can, in turn, be used for maintenance management to optimize machine operation and / or troubleshoot and / or further develop the manufactured product.

[0122] Furthermore, in embodiments of the invention, machine learning methods and / or artificial intelligence are applied to the process- and machine-relevant data of the entire value chain, for example, to be able to determine a prognosis regarding the product quality of a tire based on process data. Accordingly, in corresponding embodiments of the invention, the need for quality assurance measures at the end of the value chain can be reduced.

[0123] In embodiments of the invention, condition monitoring with condition prediction is realized with the aid of the evaluation unit and the data evaluated by the evaluation unit over time in the interaction of condition parameters and the operating behavior in certain situations via statistical methods / predictions.

[0124] In embodiments of the invention, the at least one evaluation unit is designed to apply artificial intelligence (AI) and / or machine learning (ML) methods to the retrievable data. By evaluating large amounts of data, correlations between changes and / or trends in individual data and the occurrence of specific error causes can be determined, so that, in embodiments of the invention, future states of the at least one monitored machine can be predicted.

[0125] In embodiments of the invention, this enables early output of warning messages regarding impending defects and / or required maintenance.

[0126] In embodiments of the invention, the state of the at least one monitored machine, for example a tire curing press, can be displayed in a digital application (app).

[0127] In embodiments of the invention, the determined indicators can be output as a visual display using digital devices. Digital devices in this sense include, for example, smartphones, smartwatches, tablets, notebooks, PCs, or digital display boards.

[0128] In embodiments of the invention, current alarm and / or fault messages for a machine can be output in an overview including symbolic criticality, message designation and time stamp.

[0129] In embodiments of the invention, details of individual alarm and / or fault messages for a machine can be displayed with a name, description, solution instructions, references to the same message on other machines with a time stamp and / or link to the product produced under fault conditions (e.g., tire ID).

[0130] In embodiments of the invention, a message overview of several monitored machines (e.g. tire curing presses) can be output in an overview with a symbol for criticality, designation, machine location (“trench”), machine number and / or time stamp.

[0131] By comparing and simultaneously displaying fault messages from multiple machines (e.g., tire curing presses) in a factory, maintenance management is provided with a control center for maintenance in embodiments of the invention, which makes the currently required maintenance measures for all monitored machines (e.g., tire curing presses) transparent. On this basis, priorities for maintenance and repair can be derived, and related faults of multiple machines can be identified against the background of the shared infrastructure (e.g., group hydraulics, heating media, etc.). The last, for example, approximately 10 cycle times, which can be flexibly adjusted if required, of a monitored machine or a monitored group of machines (e.g., curing press or group of curing presses, e.g.,Trench / entire heating chamber), can be displayed as an overview during operation in preferred embodiments of the invention and can be set in relation to the specification of the produced tire. If the actual cycle time is higher than the target cycle time, the deviation and, if necessary, optional instructions for checking and / or optimally adjusting relevant assemblies or individual functions can be output as a message. Exact threshold values ​​and tolerance ranges for the monitored machine parameters can be defined for the respective machine configuration. The reporting function can be (de-)activated. In embodiments of the invention, the operating data for the relevant assemblies or individual functions can be displayed in detail.

[0132] In advantageous embodiments of the invention, improvement measures for the at least one monitored machine can be automatically proposed with the aid of the at least one evaluation unit based on the evaluated data.

[0133] With this approach, in embodiments of the invention, for example, machine performance can be improved by keeping cycle times, for example of tire curing presses, stable and low in order to increase productivity.

[0134] In embodiments of the invention, early warnings can be generated based on evaluated data using the at least one evaluation unit, which increase machine availability by avoiding unplanned downtimes, supporting repair and maintenance measures and / or reducing spare parts consumption.

[0135] In embodiments of the invention, the digital solution approach enables the energy consumption of at least one monitored machine, for example a tire curing press, to be displayed in production and thus made accessible to a user or operator of the machine for measures to improve energy consumption / the CO2 footprint.

[0136] The invention enables the following advantages in embodiments, or has the following features individually or in combination:

[0137] Optimization of machine performance, monitoring and stabilization of the cycle time of machines, e.g. tire curing presses, at a low level, early warning signals when the cycle time exceeds a certain threshold, indication of causes for a continuous and gradual increase in cycle time, such as undetected leaks, wear or incorrect settings, reduction of the actual cycle time by an average of up to 10-20 seconds per tire curing press and cycle, increase of the productivity of a tire curing press by approximately 600-1800 tires per year (+1- 3%).

[0138] In embodiments of the invention, intelligent tire vulcanization is realized. In embodiments of the invention, the so-called "smart curing" includes data exchange with tire curing presses throughout the entire curing area, as well as the necessary database for recording production and process data. This system enables simultaneous production monitoring, traceability, recipe management, and analysis of the tire curing presses.

[0139] Areas of application include production monitoring (e.g. production plan vs. actual, OEE, TCO), process monitoring (e.g. vulcanization data acquisition, recipe management, quality assurance), machine monitoring (e.g. condition monitoring, predictive maintenance, alarm diagnostics, machine service), energy monitoring (e.g. electrical power, compressed air, oil, hardening agent).

[0140] Applied technology / methods in embodiments of the invention 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, HoT gateways, internet connection / protocols, cloud technology, data analysis, mobile application, machine learning algorithms / artificial intelligence, virtual reality and / or augmented reality.

[0141] According to the inventive digital solution approach for the condition monitoring of machines (e.g. tire curing presses), it is possible in embodiments of the invention to display the condition of a machine in a digital app and to automatically suggest improvement measures to the operating and maintenance personnel, as well as to enable technologically self-healing, self-regulating measures of the machine in production.

[0142] Areas of application include, for example, production monitoring (e.g. keeping the cycle times of tire curing presses consistently low in order to increase productivity by outputting deviations between predetermined target and measured actual values ​​in the cycle time of (sub-)phases of the tire vulcanization process), process monitoring (e.g. indicating quality defects in the tire vulcanization process using machine alarm messages and machine parameters, whereby the monitoring of the vulcanization cycle times offers support in preventing previously unnoticed process deviations that would otherwise lead to a continuous increase in cycle times in the tire vulcanization process), machine monitoring and controlling (e.g. by correlating cycle time deviations with machine parameters and / or fault messages.In this way, clues to the causes of faults can be automatically derived and suggestions for troubleshooting can be made automatically.

[0143] In embodiments of the invention, a digital maintenance tool for machines (e.g. for tire curing presses) is realized.

[0144] In embodiments of the invention, a method and a device for the efficient and effective maintenance of machines (e.g. tire curing presses) are realized.

[0145] In embodiments of the invention, the method and the device are based on the principles of digital condition monitoring and / or artificial intelligence.

[0146] In embodiments of the invention, the at least one evaluation unit is designed to detect wear or defects in at least one assembly, such as the hydraulic unit, the pneumatic unit, a loading and / or unloading device, a closing unit or a safety scanner.

[0147] In preferred embodiments of the invention, the at least one evaluation unit is designed to detect wear or defects of at least one component as such or as a component of an assembly, such as a shock absorber, hydraulic cylinder, motor, a line (leakage / blockage) or a sensor.

[0148] In embodiments of the invention, the at least one evaluation unit is designed to detect wear or defects in at least one hydraulic unit. For this purpose, the evaluation unit in embodiments of the invention is designed to record cycle or subcycle times that are directly or indirectly influenced by the state of the hydraulic unit, and / or to record the hydraulic pressure using at least one pressure sensor, and / or to evaluate machine messages and / or the control parameters (configuration) relating to the hydraulic unit.

[0149] In embodiments of the invention, the at least one evaluation unit is designed to detect defects and / or wear in the pressure regulator of at least one hydraulic unit. If the pressure regulator of the hydraulic unit is defective or worn, a different, usually reduced, pressure is provided instead of the target pressure. This slows down hydraulically implemented movements of the machine, so that the corresponding cycle and / or subcycle times become longer.

[0150] In embodiments of the invention, a list of causes, for example comprising the causes of wear of the hydraulic unit, leakage in the hydraulic system, faulty control of the hydraulic unit, faulty setting of the hydraulic system and wear of the hydraulic cylinders, can be retrieved with the aid of the at least one evaluation unit based on a detected deviation of the at least one monitored machine parameter (e.g. a cycle or subcycle time or a media consumption) with a possible cause in the hydraulic system.

[0151] In order to automatically narrow down the at least one cause underlying the at least one detected deviation, in advantageous embodiments of the invention, criteria for the individual possible causes can be retrieved and preferably checked automatically using the at least one evaluation unit.

[0152] For example, in embodiments of the invention, one or more of the following criteria can be called up and preferably checked: pressure in the pressure line of the hydraulic unit, electrical parameters (currents, voltages, power consumption) at the hydraulic unit, temperature of the hydraulic oil, oil level of the hydraulic unit, flow in the hydraulic line of the hydraulic unit (leakage detection), vibrations at the motor of the hydraulic unit, machine messages for timeouts for hydraulic movements or hydraulic oil temperature warnings, data from the upstream and / or downstream value chain.

[0153] Based on the overview of the criteria that are met or not met, in corresponding embodiments of the invention, the at least one cause can be clearly determined in an automated manner with the aid of the at least one evaluation unit, or the list of causes can at least be further reduced.

[0154] Based on the at least one determined cause, the device according to the invention is designed to implement self-healing measures. With regard to the hydraulic system, these include, for example, in the event of a detected cycle and / or subcycle deviation, reconfiguring the control configuration of the hydraulic unit (ramp height, ramp duration, setpoint, follow-up time, switch-on delay, P line enable, engine speed, etc.) to the factory settings, increasing the setpoint pressure of the hydraulic unit to reach the required operating pressure (preferably temporarily until the error is rectified), controlling the electric pressure relief valve to the design value, or displaying a note regarding the pressure relief valve setting.

[0155] If a deviation in energy consumption is detected, the self-healing measures with regard to the hydraulic system include, for example, reducing the set pressure of the hydraulic unit (preferably with a parallel check of the effects on the cycle time) and issuing a message to the maintenance personnel, activating the electrically controllable oil filtration (if available), activating the controllable lubrication system (if available), configuring the control of the hydraulic unit (ramp height, ramp duration, setpoint, follow-up time, switch-on delay, P-line release, engine speed, etc.) and the hydraulic movement functions (loader, unloader, head section, bellows mechanism, etc.) to the factory settings.

[0156] In embodiments of the invention, the at least one evaluation unit is designed to detect defects and / or wear in the clamping unit of a tire curing press. In embodiments of the invention, a defect / wear in the clamping unit can be detected by evaluating the cycle and / or subcycle times and / or by monitoring the energy consumption of the hydraulic unit and / or by evaluating machine messages.

[0157] In embodiments of the invention, the at least one evaluation unit can be used based on a detected deviation of a cycle or sub-cycle time with a possible cause in relation to the closing unit to retrieve a list of causes, for example comprising the causes of missing lubrication of sliding plates or mold segments of the tire mold, hydraulic leakage at the segment mold actuation, incorrect control of the hydraulic function for closing the press (configuration), incorrect setting of the hydraulic function for closing the press (for example setting of the pressure relief valve).

[0158] For the automated localization of the at least one cause underlying the at least one detected deviation, in advantageous embodiments of the invention, criteria for the individual possible causes can be retrieved and preferably automatically verified using the at least one evaluation unit. For example, in embodiments of the invention, one or more of the following criteria can be retrieved and preferably verified: pressure in the pressure line of the hydraulic unit, provided hydraulic closing pressure, electrical parameters (currents, voltages, power consumption) at the hydraulic unit, temperature of the hydraulic oil, flow in the hydraulic line of the hydraulic unit (leakage detection), oil level of the hydraulic unit, vibrations at the motor of the hydraulic unit, machine messages regarding the timeout for the closing process, and data from the upstream and / or downstream value chain.

[0159] Based on the overview of the criteria that are met or not met, in corresponding embodiments of the invention, the at least one cause can be clearly determined or the list of causes can at least be further reduced using the at least one evaluation unit.

[0160] Based on the at least one determined cause, the device according to the invention is designed to implement self-healing measures. With regard to the clamping unit, these include, for example, reducing the SMO counterpressure by controlling the electrically controllable hydraulic valve (preferably, parallel monitoring of the SMO cylinder positioning is performed), increasing the degree of opening of the proportional valve for positioning the head section (more force to close the press) and issuing a notification to the maintenance personnel, as well as configuring the control of the hydraulic function (head section & SMO) for closing the press (ramp height, ramp duration, setpoint, etc.) to the factory settings.

[0161] In embodiments of the invention, the at least one evaluation unit is designed to detect defects and / or wear of the safety scanner of at least one machine.

[0162] For example, contamination of the safety scanner on machines designed as tire curing presses leads to irregular machine downtimes. If such a machine downtime occurs during tire vulcanization, it usually results in an overcured tire and thus in rejects.

[0163] In embodiments of the invention, the at least one evaluation unit is designed to detect a defect and / or wear of the safety scanner of at least one machine by evaluating machine messages. In embodiments of the invention, the at least one evaluation unit is designed to detect a connection interruption of at least one sensor of at least one machine.

[0164] Sensor connections can be interrupted, for example, if the sensor cable breaks.

[0165] In embodiments of the invention, the at least one evaluation unit is designed to detect a connection interruption of at least one sensor of at least one machine by evaluating machine messages and / or evaluating cycle and / or subcycle times.

[0166] In embodiments of the invention, the at least one evaluation unit is designed to identify required maintenance measures.

[0167] In embodiments of the invention, the at least one evaluation unit is designed to evaluate machine messages and / or to evaluate the current process step in the process cycle.

[0168] For example, the at least one evaluation unit is designed to evaluate the machine messages for a release signal, particularly in a tire curing press, and to compare the release signal with the current process step of the process cycle. If the release signal is not detected during the vulcanization process step, a machine malfunction has occurred.

[0169] In embodiments of the invention, the at least one evaluation unit is designed to monitor downtimes of at least one machine. The development of downtimes, in particular their increase, is also an indicator of the need for maintenance measures in embodiments of the invention.

[0170] In embodiments of the invention, the at least one evaluation unit is designed to monitor sensor signals and / or messages of the safety system of at least one machine.

[0171] In embodiments of the invention, the at least one evaluation unit is designed to evaluate light barrier signals. Light barriers are often used to secure safety zones around machines, for example, around tire curing presses. As soon as a light barrier is triggered, the machine stops. Corresponding triggering of the safety system can be visualized using the invention via machine messages and / or cycle interruptions.

[0172] In embodiments of the invention, the at least one evaluation unit is designed to detect defects and wear of at least one pneumatic unit. For this purpose, the evaluation unit in embodiments of the invention is designed to record media consumption and / or cycle or subcycle times that are directly or indirectly influenced by the state of the pneumatic unit, and / or to record the pneumatic pressure using at least one pressure sensor and / or to evaluate machine messages relating to the pneumatic unit.

[0173] In embodiments of the invention, the at least one evaluation unit is designed to detect defects in the compressed air supply of the pneumatic system of at least one machine. For this purpose, in preferred embodiments of the invention, the evaluation unit is designed to monitor the pressure in the pneumatic system and / or in the compressed air supply.

[0174] In embodiments of the invention, the at least one evaluation unit is designed to detect wear on at least one loading and / or unloading device of at least one machine. For this purpose, in embodiments of the invention, the evaluation unit is designed to record cycle or subcycle times that are directly or indirectly influenced by the state of the loading and / or unloading device and / or to evaluate machine messages relating to the loading and / or unloading device.

[0175] For example, there may be mechanical problems (e.g. with the shock absorber) on the loading and / or unloading device that result in the loading and / or unloading device not moving into the correct position.

[0176] In embodiments of the invention, the at least one evaluation unit for detecting wear is designed on at least one loading and / or unloading device of at least one machine.

[0177] In embodiments of the invention, the evaluation unit is designed to detect an oil leak on at least one machine. An oil leak can occur, for example, at connection points or a crack / hole in the oil line. In embodiments of the invention, the at least one evaluation unit is designed to detect an oil leak on at least one machine by evaluating machine data from the hydraulic unit (e.g., oil level, energy consumption).

[0178] A machine according to the invention has at least one device according to the invention for recording measurement data of a machine and at least one digitally controllable control element.

[0179] A tire curing press according to the invention has at least one device according to the invention for recording measurement data of a machine and at least one digitally controllable control element.

[0180] A method according to the invention for recording measurement data of a machine comprises at least the following steps: a. Recording at least one machine parameter of at least one monitored machine, b. Automated comparison of the at least one recorded machine parameter with target values, c. Automated detection of a deviation exceeding defined tolerances, d. Carrying out automated condition monitoring of the at least one monitored machine based on detected deviations of the at least one machine parameter, e. Automated control of at least one digitally controllable control element of the at least one monitored machine to compensate for or at least to reduce the detected deviation.

[0181] In preferred embodiments of the invention, a cause list comprising possible causes for the detected deviation is then automatically loaded based on the at least one detected deviation.

[0182] In embodiments of the invention, the retrieved cause list is then automatically output.

[0183] In advantageous embodiments of the invention, an automatic check of the possible causes of the detected deviation in the cause list is carried out using at least one criterion for clearly identifying the at least one cause or for narrowing down the cause list.

[0184] In embodiments of the invention, the identified cause(s) or the narrowed down list of causes is then automatically output.

[0185] In embodiments of the invention, instructions for action to remedy the at least one identified cause are then automatically retrieved.

[0186] Preferably, at least one digitally controllable control element of the at least one monitored machine is automatically selected, which is suitable for compensating or at least reducing the detected deviation.

[0187] Preferably, in parallel with the monitoring of the at least one machine parameter or after the detection of a deviation, data from at least one additional data source is automatically loaded and used to automatically and uniquely identify the at least one cause or to narrow down the list of causes based on predefined criteria.

[0188] In embodiments of the invention, defined instructions for action to eliminate at least one cause are then implemented automatically.

[0189] In embodiments of the invention, parallel to the monitoring of the at least one machine parameter or after the detection of a deviation, data from at least one additional data source is automatically loaded and used to automatically and uniquely identify the at least one cause or to narrow down the list of causes based on predetermined criteria.

[0190] In embodiments of the method according to the invention, this is designed as a method for recording measurement data of at least one tire curing press.

[0191] In preferred embodiments of the method according to the invention, at least one device according to the invention for detecting measurement data of a machine, a machine according to the invention and / or a tire curing press according to the invention is used.

[0192] A method according to the invention for digital condition monitoring for the cycle times 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:

[0193] Monitoring the time of a tire curing press cycle from start to finish for the production of a tire provides information about whether the machine in question meets production requirements and design specifications. Monitoring the cycle over time based on individual sections or even individual movements provides detailed information about the condition of a tire curing press: early detection of potential machine errors, localization of problem areas and causes for error analysis, and suggestions for preventive maintenance. Whenever the target and actual times of a section or an individual machine movement in the production cycle deviate beyond a specific tolerance range, this is an indicator of a certain number of possible errors and error causes.

[0194] In embodiments of the invention, the determined indicators are displayed using digital end devices (e.g. smartphones, smartwatches, tablets, notebooks, PCs, digital display boards).

[0195] This cycle time monitoring based on individual movements and the resulting support for error analysis and troubleshooting is at the heart of this embodiment of the invention.

[0196] This detailed cycle time monitoring is supplemented in embodiments of the invention by a link with the collection and analysis of alarm and fault messages of the machine, the sensory monitoring of individual components, the data-based comparison of several tire curing presses with each other (“benchmarking”, creation of data-based “experience collections” / “knowledge pools” / “case databases”),

[0197] - Machine learning (ML) / artificial intelligence (AI) algorithms to predict the future behavior of the machine, 3D visualization techniques in the sense of augmented reality or virtual reality.

[0198] In embodiments of the invention, the cycle times of a machine (e.g., a tire curing press) are monitored. The last (approximately 4-5; flexibly adjustable if necessary) cycle times of a tire curing press or a group of tire curing presses (trench / entire heating chamber) are displayed as an overview during operation in embodiments of the invention and compared to the specifications of the produced tire. If the actual cycle time is higher than the target cycle time, the deviation, along with preferably instructions for monitoring and optimally adjusting relevant components or individual functions, are output as a message. Precise threshold values ​​and tolerance ranges are predefined.

[0199] The reporting function can be activated or deactivated in embodiments of the invention. If necessary, the operating data for the relevant modules or individual functions can be displayed in detail.

[0200] If the total cycle time is not within the target, embodiments of the invention provide instructions for controlling subsystems (e.g. supply pressure for hydraulics or pneumatics) and / or instructions for controlling assemblies or individual functions that are not within the target / in a fault state and have a relevant influence on the respective (process) section.

[0201] Depending on the machine equipment and relevant function, the performance / setting in embodiments of the invention is checked manually or automatically by sensors and adjusted manually or automatically by actuators.

[0202] For troubleshooting by the machine operator's maintenance technicians, in embodiments of the invention, suggestions for measures for problem analysis and resolution are automatically assigned in advance to the information on deviating cycle times using the know-how of machine experts and, if necessary, made accessible via a condition monitoring solution.

[0203] In embodiments of the invention, this is coupled with a short technical guide (possibly also with a link to an online training course) and is supported by component-specific data from the condition monitoring.

[0204] If a technician is unable to improve the cycle time based on the information provided, further analysis by machine experts is required. The processing of the information is digitally documented in embodiments of the invention. In embodiments of the invention, the operating data of all assemblies or individual functions are stored long-term and accessible to machine experts for statistical evaluations.

[0205] Through cycle time monitoring and the associated target / actual comparison of movement times, key figures for the productivity and / or availability of the machines are derived in embodiments of the invention.

[0206] For each individual movement, in embodiments of the invention, average values ​​of past cycles and forecasts for future cycles are created either from statistical methods or with the help of machine learning algorithms.

[0207] In embodiments of the invention, the determined cycle times are displayed in tabular form (e.g. as total duration and duration per section), in embodiments of the invention in tabular form in detail (i.e. all individual movements of a phase) or in a graphical representation, for example as a diagram (e.g. as duration of the entire cycle and duration of individual phases).

[0208] In embodiments of the invention, key figures for productivity and availability are derived in conjunction with the collection and analysis of alarm and fault messages from the machine.

[0209] The combination of cycle time and / or consumption monitoring and collection and analysis of alarm and fault messages realized in embodiments of the invention offers considerable advantages.

[0210] If a machine (e.g. a heating press) is not equipped with the sensors necessary for condition monitoring, in embodiments of the invention a derivation is made indirectly, from the operating behavior (actual values) and its development (trends).

[0211] In embodiments of the invention, all alarm and fault messages are stored long-term for statistical evaluation and are accessible to machine experts.

[0212] In embodiments of the invention, the processing of the messages is digitally documented, ideally according to a predefined scheme, in order to be able to create long-term analyses / correlations. The goal is to be able to conduct analyses of the machine's operating behavior based on the most detailed recording of the alarm / error message (fault analytics) and the corrective measures taken (maintenance / action log file) and a statistical evaluation. Over time, in embodiments of the invention, condition monitoring is realized through the interaction of status parameters (explicit information via sensors) and the operating behavior in certain situations using statistical methods / predictions.

[0213] In embodiments of the invention, current alarm and fault messages for a machine are displayed in an overview including symbolic criticality, message designation and time stamp.

[0214] In embodiments of the invention, details of an individual alarm and fault message for a machine are displayed, including a name, description, solution instructions, references to the same message on other machines with a time stamp, and a link to the product produced under fault conditions (product ID).

[0215] In embodiments of the invention, a message overview for several machines (e.g. tire curing presses) is output in an overview with a symbol for criticality, designation, machine location (“trench”), machine number and / or time stamp.

[0216] In embodiments of the invention, individual components of the at least one monitored machine are monitored by sensors.

[0217] If the sensor technology used reports a status value outside the tolerance range defined for the respective component, an alarm or fault message is generated in the machine in embodiments of the invention. This is then incorporated into the inventive solution.

[0218] Conversely, the use of sensory values ​​in embodiments of the invention serves to localize and verify the causes of temporal deviations in the cycle time as well as of alarm and fault messages.

[0219] In embodiments of the invention, conclusions are drawn about possible design improvements and / or process improvements from the (local or global) comparison of alarm and fault messages from machines (e.g. tire curing presses).

[0220] In embodiments of the invention, machine learning (ML) / artificial intelligence (AI) algorithms are used to predict the future behavior of the machine. For each individual movement, in embodiments of the invention, average values ​​of past cycles and predictions for future cycles are created either using statistical methods or with the help of machine learning algorithms. Various statistical methods and machine learning algorithms are possible for this purpose, and they can also be combined with each other.

[0221] The methods differ essentially in how many input parameters, comparison / training data and result parameters can and must be handled with them.

[0222] Input parameters include, for example: recipe parameters, machine parameters, cycle times, alarm and fault messages and / or sensor data.

[0223] To verify the validity of statistical methods and to "train" ML algorithms, numerous data sets are required for the input parameters. In embodiments of the invention, the results of the method and procedure are compared with the closest actual result. Through this repeated comparison, the appropriate statistical method is determined or the ML model is trained in embodiments of the invention.

[0224] Result parameters include, for example, future cycle times, alarm and fault messages and / or machine states (sensor data to be measured).

[0225] The quality of the predictions depends on the training volume with sample data. The quality of the prediction naturally decreases the further into the future one looks.

[0226] In various embodiments of the invention, the methods of cycle time monitoring, sensory monitoring, evaluation of machine messages and monitoring of media consumption are implemented with regard to the device according to the invention for recording measurement data of a machine, the method according to the invention for recording measurement data of a machine and a tire curing press according to the invention, each alone or in the various executable combinations.

[0227] Aspects of the invention are illustrated by way of example in the figures. They show: Figure 1: A block diagram of an embodiment of a device according to the invention for acquiring measurement data from a machine,

[0228] Figure 2: Another block diagram of an embodiment according to the invention of a

[0229] Device for recording measurement data from a machine,

[0230] Figure 3: A block diagram of a further embodiment of the invention of a

[0231] Device for recording measurement data of a machine and

[0232] Figure 4: A block diagram of functional modules of an inventive

[0233] Embodiment of a method for recording measurement data from a machine.

[0234] Figure 1 shows an embodiment of a device (1) according to the invention for acquiring measurement data from a machine (10). The device (1) comprises a acquiring device (2) for acquiring at least one machine parameter and an evaluation unit (3) for evaluating the data acquired using the acquiring device (2) and performing condition monitoring.

[0235] The data acquired by the acquisition device (2) can be transmitted directly or indirectly to an evaluation unit (3) via a network (4). "Indirectly" means that the data is first stored on a storage device (5). In addition, the acquired data is stored in parallel in an external storage device (6), in this case implemented as a cloud storage.

[0236] In the example shown, the acquisition device (2) accesses the machine control to acquire the machine data.

[0237] Figure 2 shows a schematic block diagram of an inventive device (1) for acquiring measurement data from a machine (10) in an application with a tire curing press. The evaluation unit (3) is implemented using applications running on a server (7). Outputs for the "energy monitoring" and "condition monitoring" functions can be output to output devices (8).

[0238] The control unit is also implemented using the server and the applications running on it. Based on detected state deviations, the implementation of self-healing measures is enabled by feedback to the machine control system. Figure 3 schematically illustrates an application of the device (1) according to the invention for acquiring measurement data from a machine (10) as a digital maintenance tool and in the sense of a self-healing tire curing press, wherein information on the maintenance requirements or control requirements of the monitored tire curing press is derived based on cycle time monitoring, the evaluation of machine messages, and the monitoring of media consumption (in this case, energy consumption).

[0239] Figure 4 shows schematically the use of data and functions of the device (1) according to the invention for acquiring measurement data from a machine (10) in combination with a statistical model or a machine learning model to enable predictions about the duration of cycles and subcycles of a tire curing press.

Claims

Claims: Device (1) for acquiring measurement data from a tire heating press, wherein the device (1) is designed for monitoring and controlling at least one tire heating press and comprises at least one acquisition device (2) for acquiring at least one machine parameter of the at least one monitored tire heating press, at least one evaluation unit (3) for evaluating the at least one acquired machine parameter, and at least one control unit, characterized in that at least one acquisition device (2), at least one evaluation unit (3), and at least one control unit are arranged to implement a control loop, wherein at least one evaluation unit (3) is designed based on the at least one acquired machine parameter for condition monitoring of the at least one monitored tire heating press.wherein, with the aid of the at least one evaluation unit (3), a deviation can be detected by comparing the at least one recorded machine parameter with a target value, and wherein, with the aid of the at least one control unit, at least one digitally controllable control element of the at least one monitored tire heating press can be controlled based on the detected deviation to compensate for or at least reduce the detected deviation. Device (1) for recording measurement data of a tire heating press according to claim 1, characterized in that, with the aid of the at least one recording device (2) and / or the at least one evaluation unit (3), cycle and / or subcycle times, at least one media consumption, sensorially detectable, Condition data and / or machine messages from the at least one monitored tire heating press can be acquired or retrieved and used for condition monitoring of the at least one tire heating press. Device (1) for acquiring measurement data from a tire heating press according to one of claims 1 and 2, characterized in that the at least one evaluation unit (3) is designed for the automated detection of the at least one underlying cause of the deviation or at least for the automated narrowing down of the possible causes. Device (1) for acquiring measurement data from a tire heating press according to claim 3, characterized in that the at least one evaluation unit (3) is designed, in the event of a detected deviation outside the tolerances, to retrieve additional data, the evaluation of which, in conjunction with the detected deviation, allows the cause to be automatically identified or at least further narrowed down.Device (1) for recording measurement data of a tire heating press according to one of claims 3 and 4, characterized in that, with the help of the at least one evaluation unit (3), at least one digitally controllable control element of the tire heating press can be automatically identified based on the at least one identified cause for the at least one detected deviation, which is suitable for compensating or at least reducing the detected deviation.Device (1) for acquiring measurement data of a tire heating press according to claim 5, characterized in that the control parameters required for controlling the at least one digitally controllable control element of the tire heating press for compensating or at least reducing the detected deviation can be automatically retrieved and / or derived based on the at least one identified cause for the at least one detected deviation, so that the at least one digitally controllable control element can be automatically controlled with the corresponding control parameters using the at least one control unit.Device (1) for recording measurement data of a tire heating press according to one of claims 1 to 6, characterized in that the monitoring of the cycle and / or subcycle times specifies the controlled variable and that the at least one evaluation unit (3) for identifying the cause detected for a time deviation using at least one additionally monitored machine parameter from the group of. The device (1) for acquiring measurement data from a tire heating press according to one of claims 1 to 6 is characterized in that the monitoring of at least one media consumption determines the control variable and that the at least one evaluation unit (3) for identifying the cause detected for a consumption deviation is designed using at least one additionally monitored machine parameter from the group consisting of cycle and / or subcycle times and / or sensor monitoring and / or machine messages from the at least one monitored tire heating press. The tire heating press is characterized in that it has at least one device (1) for acquiring measurement data according to one of the preceding claims and at least one digitally controllable control element.Method for acquiring measurement data from at least one tire heating press, comprising at least the following steps: a. Acquisition of at least one machine parameter of at least one monitored tire heating press, b. Automated comparison of the at least one acquired machine parameter with target values, c. Automated detection of a deviation exceeding defined tolerances, d. Performance of automated condition monitoring of the at least one monitored tire heating press based on detected deviations of the at least one machine parameter, e. Automated control of at least one digitally controllable control element of the at least one monitored tire heating press to compensate for or at least reduce the detected deviation.Method for recording measurement data of at least one tire heating press according to claim 10, characterized in that, based on the at least one detected deviation, a list of possible causes for the detected deviation is automatically loaded. A method for acquiring measurement data from at least one tire heating press according to claim 11, characterized in that an automatic check of the possible causes of the detected deviation is carried out on the basis of at least one criterion for the unambiguous identification of the at least one cause or for narrowing down the list of causes. A method for acquiring measurement data from at least one tire heating press according to one of claims 11 and 12, characterized in that subsequently at least one digitally controllable control element of the at least one monitored tire heating press is automatically selected, which is suitable for compensating for or at least reducing the detected deviation.A method for acquiring measurement data from at least one tire heating press according to any one of claims 10 to 13, characterized in that, in parallel with monitoring the at least one machine parameter or after the detection of a deviation, data from at least one additional data source are automatically loaded and used for the automatic, unambiguous identification of the at least one cause or for narrowing down the list of causes based on predefined criteria. A method for acquiring measurement data from at least one tire heating press according to any one of claims 10 to 14, characterized in that at least one device (1) according to the invention is used for acquiring measurement data from a tire heating press according to any one of claims 1 to 8, or at least one tire heating press according to claim 9.

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