Method for determining and / or checking a status of a door system, status determination device, system, computer program product

Abstract

The invention relates to a method for determining and / or verifying the status of a door system, wherein the method comprises the following steps: -- in a measurement step, at least one piece of measurement information relating to the door system is determined, -- in an acceptance step, an acceptance test is carried out for the at least one piece of measurement information using an acceptance criterion, wherein the determined measurement information is used in a status determination step to determine and / or verify the status of the door system depending on the acceptance test, in particular only if the acceptance criterion is met, in particular wherein the determined measurement information is discarded if the acceptance criterion is not met.

Description

[0001] The invention relates to a method for determining and / or verifying the status of a door system. Furthermore, the invention relates to a status determination device for determining and / or verifying the status of a door system, as well as such a system and a computer program product.

[0002] Door devices and their subsystems or door systems typically suffer from wear and tear during operation, which can be caused by use of the door device, the aging of parts and components, or environmental influences. Such wear and tear can depend on a variety of factors and develop very differently and at varying rates. Generally, various door systems within a door device can be affected by wear and tear, for example, the door device's drive unit or an electric lock. It is therefore essential to maintain door devices to identify and rectify wear and tear and defects.

[0003] In systems and procedures known from the state of the art, maintenance is usually carried out at fixed intervals, for example, annually, or according to predefined maintenance plans. According to the state of the art, this leads to unnecessary maintenance work on door devices. Furthermore, signs of wear are often only detected once they have already led to errors or malfunctions in the door device, resulting in undesirable downtime.

[0004] Maintenance is often complex, as a specialist has to travel to inspect or repair the door mechanism.

[0005] Against this background, the task is to enable an efficient determination and / or verification of the status of a door system, so that the effort and costs for maintenance work and / or downtime can be reduced.

[0006] The task is solved by a procedure for determining and / or verifying the status of a door system, the procedure comprising the following steps: -- In a measurement step, at least one piece of measurement information relating to the door system is determined, -- In an acceptance step, an acceptance test is carried out for the at least one piece of measurement information using an acceptance criterion, wherein the determined measurement information is used in a status determination step to determine and / or verify the status of the door system depending on the acceptance test, in particular only if the acceptance criterion is met, in particular wherein the determined measurement information is discarded if the acceptance criterion is not met.

[0007] According to the invention, a particularly advantageous and especially precise status determination for a door system can be achieved, thereby reducing errors in status determination. According to the invention, advantageous status monitoring can be achieved, enabling improved planning for maintenance work. Thus, efficient predictive maintenance for a door system can be achieved. In particular, unnecessary maintenance work by a specialist can be reduced or avoided. This saves both resources and costs. With the aid of the present invention, an advantageous acceptance test can be integrated into a method for determining and / or verifying the status of a door system, thereby compensating for age-related shifts in the expected value of measurement information or measured variables and / or control variables of the door system.Simultaneously, the acceptance test in the acceptance step allows for advantageous filtering of the measurement information, filtering out variations caused by external influences such as changing wind loads or temperatures, or by intentional or unintentional influences from users of the door system. For example, it is conceivable that an unusual wind load occurs during the measurement step, significantly affecting the measurement information. With the present invention, such interfering influences, which can distort the determination of a wear status, can be particularly advantageously eliminated or at least reduced. Thus, for example, the occurrence of false alarms during status monitoring can be reduced.

[0008] Alternatively or cumulatively, if the acceptance criterion is not met, the measured data can be stored in a memory within the door system and / or remotely. This measurement data can then be subjected to further analysis. In this way, unusual situations affecting the door system, particularly a break-in, attempted break-in, vandalism, or high wind loads, can be identified. This further analysis can be performed using an additional model and / or an artificial intelligence system.

[0009] It can be advantageous to repeat one, several, or all steps of the procedure, particularly at regular or irregular intervals, or to execute one, several, or all steps of the procedure continuously. This allows for the determination and / or verification of the status of a door system over a selectable period. It is conceivable that the steps of the procedure are executed in different sequences. It is also conceivable that the steps of the procedure overlap in time.

[0010] The method according to the invention is in particular a computer-implemented method in which one, several or all steps of the method are carried out by computer.

[0011] According to one embodiment of the present invention, the acceptance criterion can also be understood as a filter criterion for the measurement information (new) determined in the measurement step or the measurement information determined in the measurement step. It is particularly preferred that the newly determined measurement information is used for further determination and / or verification of the status of the door system in a status determination step only if it meets the filter criterion. Otherwise, particularly if the newly determined measurement information does not meet the filter criterion, it is conceivable that the newly determined measurement information is preferably discarded. Thus, influences not caused by wear effects of the door system or the door device can be particularly advantageously reduced during the determination and / or verification of the door system's status, which improves the quality of the status monitoring.

[0012] Advantageous further developments and embodiments of the present invention can be found in the dependent claims.

[0013] According to one embodiment of the present invention, the determined and / or verified status of the door system relates to or includes a wear status of a subsystem of the door system and / or a wear status of the entire door system. This advantageously allows a wear status to be determined and / or output, which can then be used to implement predictive maintenance.

[0014] According to one embodiment of the present invention, it is conceivable that the acceptance criterion The acceptance criterion can be determined and / or defined using a model, and / or using an artificial intelligence system, and / or using test measurements relating to the door device and / or the door system and / or another door device and / or another door system. According to one embodiment of the present invention, it is conceivable that the acceptance criterion is selectable and / or definable. Alternatively or additionally, it is conceivable that the acceptance criterion is based on empirical data. Alternatively or additionally, it is conceivable that the acceptance criterion is selected based on a desired quality of the acceptance step. In particular, it is conceivable that the acceptance criterion depends on the considered sub-area of ​​the operating phase of the door system and / or on individual properties of the door device and / or the door system.

[0015] According to one embodiment of the present invention, the at least one piece of measurement information is determined by a measuring device measuring a parameter of the door system, and / or the at least one piece of measurement information is determined by a control device setting and / or determining a control parameter of the door system. The control parameter can also be understood as an adjustable parameter for the door system, which, for example, is output and / or set by the control device during operation of the door system and with which the door system is controlled. If the door system is a drive unit of a door device, the control parameter can, for example, be a drive voltage and / or one or more parameters of a pulse width modulation. The measured parameter can also be understood as a measurable parameter of the door system.

[0016] According to one embodiment of the present invention, the at least one measurement information is determined during an operating phase of the door system or only during a partial phase of the operating phase of the door system. According to one embodiment of the present invention, the measurement information is generated by numerical integration of measured values ​​relating to at least one measured variable and / or control values ​​relating to at least one control variable, determined in the partial phase. Preferably, the measurement information is thus determined such that the measured variable of the door system is measured by the measuring device for generating the at least one measurement information only in the partial phase.Alternatively or additionally, the measurement information is preferably determined in such a way that the control variable of the door system is determined by the control device for generating the at least one measurement piece of information only in the specific sub-area. In particular, it is conceivable that the measurement information is not determined during at least one other sub-area of ​​the operating phase, or that the measurement information is not determined during the entire operating phase outside the sub-area. This can save costs and energy and keep the amount of data generated to a minimum.

[0017] According to one embodiment of the present invention, the operating phase of the door system comprises an opening process and / or a closing process of the door system and / or a door device incorporating the door system, in particular wherein the portion of the operating phase is only a portion of the opening process and / or the closing process. The opening process can also be understood as the opening movement. The closing process can also be understood as the closing movement. In the case of a revolving door and / or a rotating singulation device, for example, a complete rotation of the door element or the singulation device can be understood as a complete opening and closing process.

[0018] According to one embodiment of the present invention, the sub-area comprises one or more of the following areas: - an acceleration range and / or a braking range, in particular during an opening and / or closing process of a door device comprising the door system, - a constant speed range of the door device comprising the door system, wherein the door device preferably has an at least approximately constant speed during constant speed range, - a starting range of the door device comprising the door system, in particular from a standstill, - a transition range between an acceleration range and a constant speed range, - a transition range between an acceleration range and a braking range, - a transition range between a constant speed range and a braking range.

[0019] According to one embodiment of the present invention, it is possible that the partial area comprises at least an acceleration area and / or a braking area, particularly during an opening process and / or a closing process of a door device comprising the door system.

[0020] According to one embodiment of the present invention, it is possible that the partial area comprises at least one constant speed movement of the door device comprising the door system, wherein the door device preferably has an at least approximately constant speed during the constant speed movement.

[0021] According to one embodiment of the present invention, it is possible that the partial area comprises at least one approach area of ​​the door device comprising the door system, in particular from a stationary position.

[0022] According to one embodiment of the present invention, it is possible that the sub-area comprises at least a transition area between an acceleration area and a constant speed range.

[0023] According to one embodiment of the present invention, it is possible that the sub-area comprises at least one transition area between an acceleration area and a braking area.

[0024] According to one embodiment of the present invention, it is possible that the sub-area comprises at least a transition area between constant speed driving and a braking area.

[0025] According to one embodiment of the present invention, the partial area comprises one or more regions in which the acceleration and / or sign of the acceleration and / or the direction of movement of the door device and / or the door system changes. For a door system designed as a drive unit of a door device, it is particularly advantageous, for example, that wear of the drive unit or a subsystem of the drive unit, such as a gearbox, is detectable in one or more partial areas in which the acceleration and / or the sign of the acceleration and / or the direction of movement of the door device changes.This includes, in particular, an acceleration range, and / or a braking range, and / or a starting range, and / or a transition range between an acceleration range and constant speed, and / or a transition range between an acceleration range and a braking range, and / or a transition range between constant speed and a braking range. Wear is particularly advantageous in such sub-ranges where inertial forces are at work. It is particularly preferred that the determined at least one piece of measurement information relates to structure-borne sound, the velocity of a moving part of the motor and / or the transmission, in particular an angular velocity of the motor, especially of a rotor, and / or transmission, especially of a gear wheel, and / or a current and / or a control voltage of the motor of the drive unit.Such measurement information makes it possible to determine wear patterns particularly advantageously.

[0026] A motor typically comprises a stationary part in the form of a stator and the moving part, particularly in the case of a rotary motor, in the form of a rotor.

[0027] According to one embodiment of the present invention, for a door system designed as a drive unit of a door device that does not have a spring and / or an energy storage device, for example a sliding door, it is advantageously conceivable that the partial area comprises a reversing area between an opening movement and a closing movement, and / or a reversing area between a closing movement and an opening movement, and / or a reversing area between a left movement and a right movement, and / or a reversing area between a right movement and a left movement. Such a reversing area is particularly suitable for determining wear of the door system or a subsystem of the door system, for example a gearbox. According to one embodiment of the present invention, such a reversing area can also be understood as a partial area composed of a braking area and an acceleration area.It is particularly conceivable that the backlash in such a reversing range is proportional to the wear of the door system or the subsystem of the door system. It is especially preferred that the determined measurement information relates to the speed of a moving part of the motor and / or the gearbox, in particular an angular velocity of a rotor of the motor and / or a gear wheel of the gearbox, and / or a current and / or a control voltage of the motor of the drive unit. Based on such measurement information, a particularly advantageous determination of wear phenomena is possible.

[0028] According to one embodiment of the present invention, it is provided that during a further sub-phase of the operating phase of the door system, additional measurement information, in particular relating to the same measured variable and / or control variable as the measurement information, is determined, wherein the determination and / or verification of the status of the door system, in particular in the status determination step, is independent of the additional measurement information, and / or wherein the additional measurement information is disregarded in the determination and / or verification of the status of the door system, in particular in the status determination step. It is therefore conceivable that the additional measurement information has no influence on the determination and / or monitoring of the status of the door system.It is therefore conceivable that measurement information concerning the measured variable and / or control variable is acquired throughout the entire operating phase of the door system, in particular by acquiring a measured variable and / or setting and / or acquiring a control variable throughout the entire operating phase of the door system, whereby only the portion of the measurement information acquired during the relevant part of the operating phase, i.e., in particular the at least one piece of measurement information, is used to determine and / or monitor the status of the door system. Measurement information acquired outside the relevant part of the operating phase can thus be particularly advantageously disregarded when determining the status.

[0029] According to one embodiment of the present invention, it is provided that -- that the sub-area of ​​the operating phase of the door system is determined using an artificial intelligence system; and / or -- that the sub-area of ​​the operating phase of the door system is determined using a model. This can also be understood to mean that the model and / or the artificial intelligence system generates sub-area information that indicates a sub-area of ​​an operating phase of the door system, which is suitable for detecting wear in a specific subsystem of the door system by monitoring a measured variable and / or control variable of the door system in this sub-area. Thus, a sub-area of ​​an operating phase of the door system can preferably be determined, the monitoring of which is particularly advantageous during the operation of the door system, since wear in this sub-area of ​​the door system becomes noticeable in a measured variable and / or control variable of the door system.

[0030] According to one embodiment of the present invention, it is conceivable that the model is a simulation model for the door system. According to one embodiment of the present invention, it is provided that -- that the model comprises at least one piece of model information, in particular a model curve, for which at least one measured variable and / or control variable of the door system, and / or -- that the model is configured to output at least one piece of model information, in particular a model curve, for which at least one measured variable and / or control variable of the door system. According to one embodiment of the present invention, it is conceivable that the status determination step for determining and / or verifying the status of the door system comprises a comparison of the at least one piece of measured information with the at least one piece of model information of the model. The at least one piece of model information may, in particular, comprise one or more simulation data relating to the door system generated using the model.

[0031] According to one embodiment of the present invention, it is advantageously conceivable that the model considers and / or includes the kinematics and / or kinetics of the door device, the door system, and / or the subsystems of the door system. It is preferably conceivable that the model considers and / or includes mechanical interactions, inertia, and / or mechanical forces. It is particularly advantageous that the model alternatively or additionally considers and / or includes electrical interactions, temperatures, and / or pressures.

[0032] According to one embodiment of the present invention, the model may comprise a first model block for a first subsystem of the door system and a second model block for a second subsystem of the door system. The first model block relates in particular to at least one property of the first subsystem, and the second model block relates in particular to at least one property of the second subsystem. In particular, the properties of the subsystem may be production tolerances, dimensional deviations, component weight, and / or wear effects. Preferably, the model comprises further model blocks for additional subsystems of the door system. This allows for an advantageous assignment of wear phenomena identifiable in the measurement information and / or training data relating to the door system to one of the subsystems, in particular to the first or second subsystem.It is conceivable that the artificial intelligence system could be trained, using training data, particularly model information, to determine from at least one measurement, especially during the status determination step, which of the door system's subsystems is experiencing wear and / or how far the wear has progressed. This would allow for time-optimized and individualized maintenance. Specifically, it would be possible to select the next maintenance date based on the determined status of the door system. Furthermore, past operating behavior, which can be stored in a memory medium within the door system, particularly operating cycles per unit of time, could be taken into account. For past operating behavior, an average value from the last week, the last month, and / or the last few months could be used.Additionally or alternatively, maintenance may be focused on or limited to the subsystem or subsystems of the door system for which wear was detected during the determination and / or verification of the door system's status using the artificial intelligence system. In particular, such a subsystem may include a component or group of components, such as a gearbox and / or a motor and / or an electronic control unit.

[0033] The term "gearbox" describes a component that converts the movement of the motor into the movement of another component, in particular an output shaft. The gear ratio can be arbitrary, including 1:1.

[0034] According to one embodiment of the present invention, it is provided that -- that the at least one piece of measurement information determined in the measurement step includes at least one integral value of a measured quantity determined during the operating phase or the sub-area of ​​the operating phase, and / or -- that the at least one piece of measurement information determined in the measurement step includes at least one integral value of a control variable determined during the operating phase or the sub-area of ​​the operating phase, and / or -- that the at least one piece of measurement information determined in the measurement step is determined as a function of at least one integral value of a measured quantity determined during the operating phase or the sub-area of ​​the operating phase, and / or -- that the at least one piece of measurement information determined in the measurement step is determined as a function of at least one integral value of a control variable determined during the operating phase or the sub-area of ​​the operating phase.Advantageously, the integral value can be determined using numerical integration.

[0035] According to one embodiment of the present invention, it is provided that the at least one piece of measurement information determined in the measurement step is used, depending on the acceptance test using the acceptance criterion, to determine and / or verify the status of the door system, such that the at least one piece of measurement information is only used to determine and / or verify the status of the door system if the acceptance test using the acceptance criterion shows that the at least one piece of measurement information fulfills the acceptance criterion.

[0036] According to one embodiment of the present invention, the acceptance test includes a comparison with a threshold value using the acceptance criterion for the at least one determined measurement information. The threshold value is, in particular, a predefinable and / or adjustable threshold value. Alternatively or additionally, it is conceivable that the threshold value -- using a model relating to the door device and / or the door system, and / or -- using test measurements relating to the door device and / or the door system and / or another door device and / or another door system. It is particularly conceivable that the threshold value depends on the operating phase under consideration and / or the sub-area of ​​the operating phase under consideration and / or on the specific door device and / or the specific door system under consideration. It is conceivable that the acceptance criterion is defined using the threshold value. In this respect, the acceptance criterion can also be understood as a filter criterion for the newly determined measurement information.

[0037] According to one embodiment of the present invention, the acceptance test includes a comparison using the acceptance criterion with the at least one measurement information determined in the measurement step and at least one previous measurement information.

[0038] According to the present invention, the acceptance test is designed to perform a comparison between the acceptance criterion and the acceptance criterion. -- (i) the at least one measurement piece of information determined in the measurement step or a new mean value determined using this measurement piece of information and -- (ii) at least one previous measurement piece of information. The at least one previous measurement piece of information relates in particular to the same measured quantity and / or the same control quantity as the current measurement piece of information determined in the measurement step. At least one previous measurement also relates specifically to the door system and was preferably obtained from the door system.

[0039] According to the present invention, it is provided that the previous measurement information comprises a previous mean value of several previously determined measurement information relating to the door system, and according to a preferred embodiment of the present invention, in particular, such that the previous mean value is formed using several previously determined measurement information relating to the door system.

[0040] According to a preferred embodiment of the present invention, it is provided that the new mean value is formed at least using some of the several previously determined measurement information and additionally using at least one measurement information determined in the measurement step.

[0041] According to a preferred embodiment of the present invention, it is conceivable that the at least one measurement piece of information determined in the measurement step replaces the oldest of the previously determined measurement pieces of information that were used to calculate the previous average value when calculating the new average value. Thus, a particularly advantageous rolling system can be achieved, wherein—especially if a newly determined measurement piece of information (i.e., the at least one measurement piece of information determined in the measurement step) meets the acceptance criterion—this newly determined measurement piece of information replaces the oldest previous measurement piece of information when calculating a renewed acceptance criterion. In this way, the acceptance criterion can be adapted to real-world conditions as the door system ages.

[0042] According to a preferred embodiment of the present invention, it is conceivable that the at least one piece of measurement information determined in the measurement step comprises a mean value of measured values ​​and / or a mean value of integral values ​​of measured values. According to a preferred embodiment of the present invention, it is provided that—particularly after the acceptance step and preferably when the at least one piece of measurement information determined in the measurement step meets the acceptance criterion—a further comparison with a wear criterion, in particular at least one wear threshold value, is carried out using the at least one piece of measurement information determined in the measurement step and / or using the new mean value, wherein the status of the door system is determined and / or verified by means of this further comparison with the wear criterion. This further comparison is, in particular, part of the status determination step.This allows for a particularly advantageous determination and / or verification of the door system's status using a predefined and / or selectable wear criterion. For example, it is conceivable to forgo the additional use of a model or artificial intelligence system in the status determination step. Alternatively, however, it is conceivable that the status determination step for determining and / or verifying the door system's status additionally or alternatively includes an analysis of at least one measurement piece of information using a model and / or an artificial intelligence system.

[0043] According to one embodiment of the present invention, it is conceivable that the wear criterion, in particular the wear threshold, is selectable and / or definable. Alternatively or additionally, it is conceivable that the wear criterion -- using a model, and / or -- using an artificial intelligence system, and / or -- using test measurements and / or empirical data concerning the door device and / or the door system and / or another door device and / or another door system can be determined and / or specified.

[0044] It is particularly conceivable that the wear criterion depends on the specific sub-area of ​​the operating phase under consideration and / or on individual characteristics of the door device and / or the door system. It is conceivable that determining and / or verifying the status of the door system includes a generically generated wear indicator. It is conceivable that the wear status and / or the age of the door system can be determined using the wear criterion.

[0045] According to one embodiment of the present invention, the model is configured such that a change in one of the properties of the first subsystem and / or a value of one of the properties of the first subsystem in the first model block results in a change to the model and / or a change to the at least one piece of model information. In particular, it is possible to perform targeted variations of the properties of the model blocks and to identify the effect on the model information obtained using the model, especially a model curve. This advantageously serves to enable a reliable correlation between wear phenomena of the individual subsystems of the door system and the model information, which can be compared with reality. It is conceivable that a partial phase of the operating phase of the door system (or(the door device is identified) is determined, which is specifically monitored and / or measured by a status determination device, and / or measuring device and / or control device.

[0046] According to one embodiment of the present invention, it is provided that the model is used to determine and / or quantify a dependence of the at least one measurement information on at least one property of the first subsystem, and / or wherein the model is used to determine and / or quantify a dependence of the at least one measurement information on a variation of at least one property of the first subsystem.

[0047] It is therefore particularly conceivable that the model could be used to simulate the dependence of a measured variable and / or control variable of the door system on at least one property of the first subsystem, and / or The model simulates the dependence of a measured variable and / or control variable of the door system on a variation of at least one property of the first subsystem. A similar approach is conceivable for the further subsystems or model blocks. For example, the model can be used to determine and / or quantify the dependence of at least one piece of measurement information on at least one property of the second subsystem, and / or to determine and / or quantify the dependence of at least one piece of measurement information on a variation of at least one property of the second subsystem.

[0048] According to one embodiment of the present invention, it is advantageously conceivable that a model block is defined for several, in particular for each, subsystem of the door system existing in reality, to which a specific behavior can be imprinted and / or one or more physical properties can be added as characteristic features, for example, production tolerances, dimensional deviations, and / or wear effects. The model for the door system is preferably composed of the individual subsystems and / or model blocks relating to the subsystems and, in total, yields characteristic model information. It is particularly advantageous that each physical property of a model block is thus reflected in the characteristic model information. In particular, it is possible that the effect of each individual model block can be recognized and / or learned separately through targeted variation.It is possible to compare the characteristic model information generated by the model, in particular a model curve, with real measurement curves obtained, for example, using a measuring device and / or a control device. This enables a particularly advantageous determination and / or verification of the door system's status, whereby wear and tear on the individual subsystems of the door system can be detected and / or identified with particular advantage. It can thus be determined which of the door system's subsystems is showing signs of wear and / or how far the wear has progressed. Based on the status determination and / or verification, this allows for advantageous maintenance to be carried out.

[0049] According to one embodiment of the present invention, it is provided that, using the determined dependence of the at least one measurement information on the at least one property of the first subsystem and / or using the determined dependence of the at least one measurement information on the variation of the at least one property of the first subsystem – particularly as part of the status determination step – a wear phenomenon and / or a wear status of the first subsystem is determined. A similar approach is conceivable for the further subsystems or further model blocks.In particular, it is possible that, using the determined dependence of the at least one measurement information on the at least one property of the second subsystem and / or using the determined dependence of the at least one measurement information on the variation of the at least one property of the second subsystem - especially as part of the status determination step - a wear phenomenon and / or a wear status of the second subsystem is determined.

[0050] According to one embodiment of the present invention, a verification step of the model—preferably before the status determination step—includes a check and / or a test of the model using one or more measured values ​​and / or control values ​​relating to the door system and / or to another door system. This check and / or test specifically verifies whether the model meets an accuracy criterion. In particular, it verifies whether the model information (or simulation data) achieves the desired accuracy compared to the one or more measured values ​​and / or control values, which are determined, in particular, using actual measurements and / or settings on a physical or real door system. This verification step can be performed before and / or during the operation of the door system and / or door device.

[0051] According to a preferred embodiment of the present invention, if the model meets the accuracy criterion, i.e., if a desired accuracy is achieved, the model is preferably used in the status determination step to determine and / or verify the status of the door system. If the model does not meet the accuracy criterion (i.e., if a desired accuracy is not achieved), the model is preferably adapted and / or modified, in particular until it meets the accuracy criterion. It is particularly preferred that the model is only used in the status determination step to determine and / or verify the status of the door system after the accuracy criterion has been met. The accuracy criterion is, in particular, a selectable and / or predefinable criterion.

[0052] According to one embodiment of the present invention, it is possible, particularly for a door system comprising a drive unit and a gearbox, for the model to include a model block for the gearbox. The gearbox is usually mechanically and kinematically complex, so model information for the training data is helpful in this case.

[0053] According to one embodiment of the present invention, it is possible, particularly for a door system comprising a drive unit and a carriage, for the model to include a model block for the carriage. The carriage is used, in particular, in swing door drives to directly or indirectly convert linear motion, especially of a spring, into rotational motion. The carriage can include a bearing, in particular a needle bearing. Such a bearing typically represents the most heavily loaded component of the door system. Therefore, the carriage is suitable both as a model block and as a subsystem, especially since wear phenomena can be detected via the motor current and / or via PWM and / or via acoustics, in particular structure-borne noise.

[0054] According to one embodiment of the present invention, it is possible, particularly for a door system comprising a drive unit, that the model comprises a model block for a door or a door leaf.

[0055] According to one embodiment of the present invention, it is possible, particularly for a door system comprising a drive unit with a motor, for the model to include a model block for the motor. Electrical and mechanical factors interact in the motor, so model information is helpful for the training data.

[0056] According to one embodiment of the present invention, it is possible, particularly for a door system comprising a drive unit and an electronic control device, for the model to include a model block for the electronic control device. The control device ensures a closed control loop and is therefore also suitable as a subsystem, especially where signs of wear are detectable in electrical measured variables such as voltage and / or current and / or PWM.

[0057] According to one embodiment of the present invention, it is possible, particularly for a door system comprising a drive unit and a deflection unit, for the model to include a model block for the deflection unit, in particular a deflection pulley and / or a toothed belt. The deflection unit is generally prone to wear, especially due to the frequent changes in direction of movement. The deflection unit is therefore also suitable as a subsystem, particularly where wear phenomena can be detected from measurement data relating to acoustics, especially structure-borne sound, the current profile, and / or PWM.

[0058] According to one embodiment of the present invention, it is possible, particularly for a door system comprising a drive unit, that the model includes a model block for an energy storage device, in particular a spring or a battery.

[0059] According to one embodiment of the present invention, it is possible, particularly for a door system comprising a drive unit and a power supply, for the model to include a model block for the power supply. The power supply can include capacitors that wear out over time and can fail under high electrical load. Therefore, the power supply is also suitable as a subsystem, especially where signs of wear are recognizable from voltage measurements.

[0060] According to one embodiment of the present invention, it is possible, particularly for a door system comprising a drive unit, for the model to include a power transmission element, for example a toothed belt. Such an element is particularly suitable for sliding doors and is subject to fabric abrasion. Wear phenomena are advantageously detectable by measurement data relating to acoustics, especially structure-borne sound, position profile, and / or current profile.

[0061] According to one embodiment of the present invention, it is conceivable that the model for a door system comprising a drive unit of a door device includes one, several or all of the following model blocks: - a first model block relating to a gearbox, - a second model block relating to a trailer, - a third model block relating to a door, - a fourth model block relating to a motor, - a fifth model block relating to an electronic control unit, - a sixth model block relating to a deflection unit, in particular a deflection pulley and / or a toothed belt, - a seventh model block relating to an energy storage device, in particular a spring, - an eighth model block relating to a power supply unit, - a ninth model block relating to a power transmission element, for example a toothed belt.

[0062] According to one embodiment of the present invention, the determination and / or verification of the door system's status in the status determination step is carried out using an artificial intelligence system. In particular, it is conceivable that the artificial intelligence system analyzes the at least one measurement piece of information in the status determination step. Thus, the artificial intelligence system can be used to determine, in particular, whether wear of the door system and / or a subsystem of the door system is present, and especially how far the wear has progressed. This enables time-optimized and individualized maintenance. In particular, it is possible to select the date of the next maintenance based on the determined status of the door system.

[0063] According to one embodiment of the present invention, the artificial intelligence system is trained using training data, particularly at least partially in a training phase prior to the status determination step. It is conceivable that the training phase is carried out entirely before the status determination step. Alternatively, it is conceivable that training data is also used during the operation of the door system, for example, before, during, and / or after a status determination step, to further train the artificial intelligence system. Thus, it is also possible to adapt and / or optimize the artificial intelligence system while the door system is already in operation and / or while the status of the door system is being determined and / or checked.

[0064] According to one embodiment of the present invention, the training data comprises at least one piece of model information, in particular a model curve, determined and / or output by means of a model. This makes it particularly advantageous to reduce the required amount of training data obtained by means of measurements and / or testing procedures on real door systems and door devices. Door systems and door devices are often individually adapted to specific application conditions, so that identical door devices and / or door systems are often produced only in very small quantities.Training an artificial intelligence system using training data obtained through measurements and / or tests on real door systems and / or door fittings is often very cumbersome and costly, as it typically requires collecting a large amount of data from identical or very similar door fittings. By incorporating model information generated using a model, particularly a simulation model, the testing effort required on real door systems for training the artificial intelligence system can be significantly reduced. This makes the advantageous use of an artificial intelligence system possible even for door fittings and door systems that are custom-made, adapted to their specific application, or produced in relatively small quantities.

[0065] According to one embodiment of the present invention, it is particularly advantageous that, after the training phase, the artificial intelligence system is configured such that any signs of wear, in particular anomalies and / or defects, of the door system and / or a subsystem of the door system are recognizable in the measurement information by the artificial intelligence system. In particular, this makes it possible to reliably detect signs of wear using pattern recognition performed by the artificial intelligence system on the measurement information obtained during the operation of the door system.

[0066] According to one embodiment of the present invention, it is conceivable that the training data includes training measurement information relating to the door system and / or to a door device comprising the door system, and / or that the training data includes training measurement information relating to a further door system and / or a further door device comprising the further door system. The training measurement information is determined, in particular, by measuring one or more measured variables using appropriate measuring devices on the door system, and / or the door device, and / or one or more further door systems and / or one or more further door devices.Additionally or alternatively, the training measurement information is determined, in particular, by ascertaining one or more control variables using appropriate control devices on the door system, and / or the door device, and / or one or more other door systems and / or one or more other door devices. It is conceivable that the training measurement information is determined partially or completely in a separate test phase of the door system, and / or the door device, and / or one or more other door systems and / or one or more other door devices. It is also conceivable that the training measurement information is determined partially or completely during operation or application, particularly during a status determination of the door system, and / or the door device, and / or one or more other door systems and / or one or more other door devices.

[0067] According to one embodiment of the present invention, it is particularly conceivable that the training data includes both model information and training measurement information.

[0068] According to one embodiment of the present invention, the training data comprises normal operating data, wherein the normal operating data relates in particular to a wear-free state of the door system, and the training data comprises wear operating data, wherein the wear operating data relates in particular to a wear state of the door system and / or a wear state of a subsystem of the door system. It is particularly advantageous that the artificial intelligence system for detecting wear phenomena of one or more subsystems of the door system is trained in the at least one set of measurement information. It is thus possible for the artificial intelligence system, particularly in the status determination step, to assign a wear phenomenon determined in the at least one set of measurement information to a specific subsystem of the door system.Thus, determining the status of the door system, particularly in the status determination step, preferably includes determining and / or outputting the wear status of one or more subsystems of the door system. The normal operating data includes, in particular, model information and / or training measurement information. It is especially preferred that the normal operating data includes at least model information. The wear operating data includes, in particular, model information and / or training measurement information. It is especially preferred that the wear operating data includes at least model information.

[0069] According to one embodiment of the present invention, statistical and / or stochastic methods may be used to determine the at least one measurement piece(s). It is conceivable that the at least one measurement piece comprises an integral value. It is conceivable that the integral value is determined using numerical integration.

[0070] According to one embodiment of the present invention, it is possible to use statistical and / or stochastic methods in the status determination step when determining and / or verifying the status of the door system.

[0071] According to one embodiment of the present invention, the measurement information in the measurement step is conceivable in such a way that several measured values ​​relating to at least one measured variable and / or several measured values ​​relating to at least one control variable are determined during an operating phase of the door system or only during a partial operating phase of the door system. A surface integral is calculated for the measured values ​​determined during the operating phase or the partial operating phase using numerical integration. The determined measurement information preferably comprises the surface integral thus determined. Alternatively or additionally, other static and / or numerical methods are also conceivable for determining the measurement information, for example, a derivative, the calculation of a mean value, the calculation of a variance, and / or standard deviation.

[0072] According to one embodiment of the present invention, the door system is a subsystem of a door device, wherein the door system is, in particular, a drive unit of the door device or comprises a drive unit of the door device. Alternatively, it is conceivable, for example, that the door system comprises or is an electric lock of a door device. Other subsystems of a door device are also suitable for the door system. Alternatively, it is conceivable that the door system is a complete door device.

[0073] According to one embodiment of the present invention, the door device is an access device, for example for an area or a building. It is preferably conceivable that the door device is an automatic door device. It is conceivable that the door device comprises one or more of the following: - a revolving door, - a swing door, - a carousel door, - a safety carousel door, - a personnel airlock, - a sliding door, - a folding sliding door, - a turnstile, - a revolving cross, - a swing door.

[0074] According to the invention, it is advantageously conceivable that – using and / or depending on the status determined and / or verified in the status determination step – a maintenance indication concerning the door system and / or concerning one or more of the subsystems of the door system is issued and / or maintenance of the door system and / or one or more of the subsystems of the door system is carried out. The maintenance indication is, in particular, information that specifies whether maintenance of the door system is required and / or when maintenance of the door device and / or the door system is required. The maintenance indication is preferably transmitted to a maintenance facility and / or made available to a maintenance person.

[0075] According to one embodiment of the present invention, the at least one measurement information is provided to include one or more: - Position profiles, - speed profiles, - acceleration profiles, - motor control profiles, in particular pulse width modulation, - current profiles, in particular of a motor and / or total current, - voltage profiles, in particular of a power supply voltage and / or motor voltage, - temperature profiles, in particular of the temperature of an environment, a motor, a power supply and / or one or more electrical components, - vibration profiles, in particular acoustics, preferably a structure-borne sound profile, concerns or includes.

[0076] According to one embodiment of the present invention, it is conceivable that the at least one measurement information relates to and / or includes at least one position profile.

[0077] According to one embodiment of the present invention, it is conceivable that the at least one measurement information relates to or includes at least one velocity profile.

[0078] According to one embodiment of the present invention, it is conceivable that the at least one measurement information relates to or comprises at least one acceleration profile.

[0079] For a door system designed as a drive unit, it is particularly advantageous according to one embodiment of the present invention that the at least one measurement information component comprises acoustics, in particular structure-borne sound, a speed, position, and / or acceleration of a moving part of the motor and / or the gearbox. In particular, this can be an angular velocity, angular position, and / or angular acceleration of a rotor of a motor and / or a gear wheel of the gearbox. Such measurement information is particularly suitable for identifying wear of the door system and / or the gearbox.

[0080] According to one embodiment of the present invention, it is conceivable that the at least one measurement piece relates to or comprises at least one motor control profile, in particular a pulse width modulation. For a door system designed as a drive unit, for example, it is particularly advantageous that the at least one measurement piece relates to or comprises a pulse width modulation of the motor of the drive unit, since this is particularly suitable for determining wear phenomena.

[0081] According to one embodiment of the present invention, it is conceivable that the at least one measurement piece relates to or includes at least one current waveform, in particular a motor and / or total current. For a door system designed as a drive unit, it is particularly advantageous, for example, that the at least one measurement piece relates to or includes a motor current of the drive unit. The motor current is particularly suitable for identifying wear of the door system and / or a subsystem of the door system.

[0082] According to one embodiment of the present invention, it is conceivable that the at least one measurement piece relates to or comprises at least one voltage waveform, in particular a power supply voltage and / or motor voltage. For a door system designed as a drive unit, for example, it is particularly advantageous that the at least one measurement piece relates to or comprises a control voltage of the drive unit's motor, since this is particularly suitable for determining wear phenomena.

[0083] According to one embodiment of the present invention, it is conceivable that the at least one measurement information relates to or includes at least one temperature profile, in particular a temperature of an environment, a motor, a power supply and / or one or more electrical components.

[0084] According to one embodiment of the present invention, it is conceivable that the at least one measurement information relates to or comprises at least one vibration profile, in particular a structure-borne sound profile.

[0085] According to one embodiment of the present invention, it is advantageously possible, particularly for a door system designed as a drive unit, for the measurement information obtained in the measurement step to relate to or include an angular velocity profile of a gearbox of the drive unit against time and / or against a position of a moving part of the motor or gearbox, in particular against an angle of a rotor of the motor and / or a gear wheel of the gearbox. Wear phenomena of the drive unit and / or a subsystem of the drive unit, for example the gearbox or the motor, can be determined particularly advantageously using such measurement information.

[0086] According to one embodiment of the present invention, it is advantageously possible, particularly for a door system designed as a drive unit, for the measurement information obtained in the measurement step to relate to or include an acceleration profile of a moving part of the motor and / or the transmission, in particular an angular acceleration profile of a rotor of the motor and / or a gear wheel of the transmission of the drive unit against time and / or against a position of a moving part of the motor or the transmission, in particular against an angle of a rotor of the motor or a gear wheel of the transmission. Wear phenomena of the drive unit and / or a subsystem of the drive unit, for example the transmission or the motor, can be determined particularly advantageously using such measurement information.

[0087] According to one embodiment of the present invention, it is advantageously possible, particularly for a door system designed as a drive unit, for the measurement information determined in the measurement step to relate to or include a motor current of a motor of the drive unit against time and / or against a position of a moving part of the motor or the gearbox, in particular against an angle of a rotor of the motor or a gear wheel of the gearbox. This enables a particularly advantageous determination of wear phenomena of the drive unit and / or a subsystem of the drive unit.

[0088] According to one embodiment of the present invention, it is advantageously possible, particularly for a door system designed as a drive unit, for the measurement information determined in the measurement step to relate to or include pulse width modulation and / or a control voltage of a motor of the drive unit against time and / or against a position of a moving part of the motor or the gearbox, in particular against an angle of a rotor of the motor or a gear wheel of the gearbox. This enables a particularly advantageous determination of wear phenomena of the drive unit and / or a subsystem of the drive unit.

[0089] It is conceivable that the model and / or the artificial intelligence system could be provided with parameters and / or dimensions of the door system and / or the door device, in particular parameters and / or dimensions relating to the manufacturing condition of the door system and / or the door device, and preferably not wear-related. Alternatively or additionally, it is conceivable that the model and / or the artificial intelligence system could include such parameters and / or dimensions of the door system and / or the door device.

[0090] According to one embodiment of the present invention, such parameters and / or sizes of the door system and / or door device include, for example, one or more of the following parameters and / or sizes: - the weight of the door system and / or door device, - the dimensions of the door system and / or door device, in particular heights and / or widths, - tolerances, in particular manufacturing tolerances, of the door system and / or door device, - the setting of the operating parameters of the door system and / or door device, - other special features of the door system and / or door device.

[0091] According to a preferred embodiment of the present invention, the parameters and / or sizes relating to the manufacturing state of the door system and / or the door device include or relate to at least the weight of the door system and / or the door device.

[0092] According to a preferred embodiment of the present invention, the parameters and / or sizes relating to the manufacturing state of the door system and / or the door device include or relate to at least one dimension of the door system and / or the door device, in particular a height and / or width.

[0093] According to a preferred embodiment of the present invention, the parameters and / or sizes relating to the manufacturing state of the door system and / or the door device include or relate to at least tolerances, in particular manufacturing tolerances, of the door system and / or the door device.

[0094] According to a preferred embodiment of the present invention, the parameters and / or sizes relating to the manufacturing state of the door system and / or the door device include or relate to an adjustment of the operating parameters of the door system and / or the door device.

[0095] According to one embodiment of the present invention, it is possible that the artificial intelligence system comprises a machine learning system, a deep learning system, a neural network and / or pattern recognition.

[0096] Another object of the present invention is a status determination device for determining and / or verifying the status of a door system, - wherein the status determination device is configured to receive at least one piece of measured information relating to the door system, - wherein the status determination device is configured for the at least one piece of measured information to perform an acceptance test using an acceptance criterion, wherein the status determination device is configured such that the measured information is used to determine and / or the status system depending on the acceptance test, in particular only if the acceptance criterion is met. The status of the door system is checked, in particular the measurement information obtained is discarded if the acceptance criterion is not met.

[0097] The status determination device is preferably a computer-implemented status determination device.

[0098] The status determination device preferably comprises means configured to carry out a method for determining and / or verifying the status of a door system according to an embodiment of the present invention. It is conceivable that the status determination device is partially or completely integrated into the door device that comprises the door system. Alternatively or additionally, it is conceivable that the status determination device is partially or completely external to the door device. For example, it is conceivable that the status determination device is implemented using a cloud service.

[0099] It is conceivable that the status detection device is in communication with the door device and / or the door system and / or the measuring device and / or the control device, in particular by means of communication means. It is conceivable that the communication means are designed for wireless and / or wired information and / or signal transmission. It is conceivable that the communication means include means for information and / or signal transmission between the status detection device and the door device and / or between the status detection device and the door system and / or between the status detection device and the measuring device and / or between the status detection device and the control device.

[0100] According to one embodiment of the present invention, the status determination device may be partially or completely formed by an edge device. The edge device is preferably a device that provides an entry point into a core network, for example, of a company or a service provider.

[0101] It is conceivable that the Edge device is installed in the immediate vicinity of the door system and / or the door device and / or that the Edge device is designed as part of the door system and / or the door device.

[0102] It is conceivable that the edge device is a separate module from the door system and / or door hardware, connected to the door system and / or door hardware's control unit via a data link. Alternatively, it is conceivable that the edge device is part of the control unit, for example, a combination of a microcontroller and an embedded Linux device. It is also conceivable that the edge device is an expansion module with machine learning capabilities and / or data transmission means. -- for a door device, and / or -- for a door system, and / or -- for a control device of a door system and / or a door device.

[0103] It is conceivable that the edge device encompasses both the status detection unit and the control device of the door system and / or door mechanism. In this case, it is particularly conceivable that, especially in addition to the edge device, a separate microcontroller door controller is not necessary.

[0104] It is conceivable that the edge device advantageously serves as an extension for a door device. The edge device is, for example, designed as a chip and / or stick, particularly as a special artificial intelligence chip and / or stick, which is designed to be connectable to the door device and / or the door system via an interface. The edge device is particularly preferably intended for processing comparatively large amounts of data.

[0105] It is conceivable that the edge device and / or the control device is extended by a status determination device according to an embodiment of the present invention and / or its functionality. It is possible that an edge device and / or a door control system is extended by one or more artificial intelligence hardware devices, in particular special artificial intelligence hardware (or AI hardware), such as one or more chips and / or USB sticks. Such an artificial intelligence hardware device typically has a plurality of processing cores, preferably at least 16 processing cores, and particularly preferably at least 100 processing cores. Preferably, the artificial intelligence hardware device is thus configured in such a way that it can process a comparatively large number of parallel processes at a comparatively very high speed.

[0106] It is conceivable that—particularly for setting up the status detection device—an edge device and / or a control device could be augmented by one or more artificial intelligence hardware devices (AI hardware), such as one or more chips and / or sticks, that are specialized for parallel data processing. Examples of such specialized AI hardware devices are GPUs (Graphics Processing Units) and TPUs (Tensor Processing Units). This can significantly increase the computing power for artificial intelligence applications.

[0107] It is conceivable that a door system comprises one or more subsystems, each including one or more moving parts. Each moving part of a door system and / or door device, in particular one or more gears in the transmission, and / or a motor, exhibits characteristic vibrations and / or has a characteristic acoustic fingerprint. Such characteristic vibrations and / or fingerprints are visible in an overall curve, in particular in a structure-borne sound signal of the door system and / or door device and / or subsystem, and can be assigned to the individual subsystems (or moving parts).

[0108] According to an advantageous embodiment of the present invention, a separation into speed-dependent and speed-independent effects of the door system and / or one or more of the subsystems of the door system is conceivable. Among others, the following exemplary embodiments are conceivable: First example: Motor vibrations are directly dependent on speed and can reach their maximum at certain rotational speeds. Second example: Pulse width modulation and / or the frequency of a pulse width modulation, especially for controlling a motor, is always constant and independent of speed. Third example: A defective ball bearing in a roller is frequency-dependent on the speed of movement.

[0109] In addition to the first, second and third examples described above, a multitude of other embodiments are conceivable for different types and kinds of door systems.

[0110] According to one embodiment of the present invention, it is possible to determine the speed of the door system and / or the door device and / or the structure-borne noise of the door system and / or the door device using sensor devices. The speed of the door system and / or the door device and / or the structure-borne noise of the door system and / or the door device are determined, in particular, as part of the at least one measurement piece of information in the measurement step. It is particularly advantageous to calculate speed-independent variables from speed-dependent structure-borne noise levels, which can then be used for the overall classification of a possible defect or wear during a complete driving cycle.

[0111] An example of this is described below: When a ball bearing is defective, it generates grinding noises. The higher the rotational speed, the higher the generated and measurable (grinding) frequency. By factoring out the speed, the specific defective ball bearing can be identified from an overall curve over a complete driving cycle, which includes various speeds. This reveals a speed-independent level of a measurement, particularly for a driving cycle, which can be monitored. This measurable level is directly proportional to the wear.

[0112] Another object of the present invention is a system for determining and / or verifying the status of a door system, wherein the system comprises a status determination device and the door system. - wherein the status determination device is configured to receive at least one piece of measured information relating to the door system, - wherein the status determination device is configured for the at least one piece of measured information to perform an acceptance test using an acceptance criterion, wherein the status determination device is configured such that the measured information is used to determine and / or verify the status of the door system depending on the acceptance test, in particular only if the acceptance criterion is met, and in particular wherein the measured information is discarded if the acceptance criterion is not met.

[0113] The system includes in particular a status determination device according to an embodiment of the present invention and the door system and / or the door device.

[0114] The system preferably comprises means that are set up to carry out a method for determining and / or verifying the status of a door system according to an embodiment of the present invention.

[0115] According to one embodiment of the present invention, it is conceivable that the system and / or the status determination device has a digital twin for the door system and / or the door device, and / or that the system and / or the status determination device can access a digital twin for the door system and / or the door device.

[0116] According to one embodiment of the present invention, the system comprises a measuring device and / or a control device, wherein the measuring device is configured such that the measuring device determines at least one piece of measurement information by measuring a measured variable of the door system, wherein the measuring device is in particular configured such that the measuring device provides the status determination device with the at least one piece of measurement information, and / or wherein the control device is configured such that the control device determines the at least one piece of measurement information by setting and / or determining a control variable of the door system, wherein the control device is in particular configured such that the control device provides the status determination device with the at least one piece of measurement information.

[0117] It is conceivable that the measuring device and / or the control device are partially or completely integrated into the door device and / or the door system. It is also conceivable that the measuring device and / or the control device are partially or completely separate from the door system and / or the door device. In either case, the measuring device and / or the control device are at least associated with the door system.

[0118] According to one embodiment of the present invention, it is conceivable that the at least one measuring device and / or control device comprises one, several or all of the following devices: - a structure-borne sound sensor, - an acoustic sensor, - an electrical voltage sensor, - an electrical current sensor, - a temperature sensor, - an optical sensor, for example a camera and / or an infrared sensor, - a force sensor, - a strain sensor, - a displacement or distance measuring device.

[0119] The measuring device and / or control device is preferably equipped with one or more sensors or measuring instruments suitable for determining the measurement information. The choice of sensors and / or measuring instruments used depends in particular on the measured quantities and / or control variables considered using the measurement information.

[0120] According to one embodiment of the present invention, it is conceivable that the at least one measuring device and / or control device includes at least one structure-borne sound sensor. In particular, changes in shape due to wear, e.g., abrasion, can be detected by structure-borne sound. Furthermore, the structure-borne sound or its changes can be determined specifically for each subsystem, thus enabling component-specific detection.

[0121] According to one embodiment of the present invention, it is conceivable that the at least one measuring device and / or control device comprises at least one acoustic sensor.

[0122] According to one embodiment of the present invention, it is conceivable that the at least one measuring device and / or control device comprises at least one electrical voltage sensor.

[0123] According to one embodiment of the present invention, it is conceivable that the at least one measuring device and / or control device comprises at least one electrical current sensor.

[0124] According to one embodiment of the present invention, it is conceivable that the at least one measuring device and / or control device includes at least one temperature sensor. This allows increased friction in mechanical components and / or increased resistance in electrical components to be detected.

[0125] According to one embodiment of the present invention, it is conceivable that the at least one measuring device and / or control device comprises at least one optical sensor, for example, a camera and / or an infrared sensor. The measurement information can represent a comparison or a comparison result between several image recordings, in particular at least two image recordings, which were taken at different times, especially after a specific time interval. Such measurement information can, in particular, enable wear detection in larger components, especially components such as a gear wheel of a transmission, a rotor of a motor, and / or a toothed belt, particularly in sliding door systems and / or revolving door systems. This is because such components are generally larger, making such detection possible.

[0126] According to one embodiment of the present invention, it is conceivable that the at least one measuring device and / or control device has at least one force sensor.

[0127] According to one embodiment of the present invention, it is conceivable that the at least one measuring device and / or control device comprises at least one strain sensor.

[0128] According to one embodiment of the present invention, it is conceivable that the at least one measuring device and / or control device comprises at least one displacement or distance measuring device.

[0129] According to one embodiment of the present invention, particularly in the case that the door system comprises a drive unit of the door device, the subsystems of the door system comprise one, several or all of the following subsystems: - a gearbox, - a trolley, - a door, - a motor, - an electronic control, - a deflection unit, for example a pulley and / or a toothed belt, - an energy storage device, for example a spring and / or a battery, - a power supply, - a power transmission element, for example a toothed belt.

[0130] It is preferably conceivable that for a door system designed as a drive unit, at least one subsystem designed as a gearbox is present. In this case, it is particularly advantageous that the at least one measurement information includes acoustics, especially structure-borne sound, a speed, position, and / or acceleration of a moving part of the motor and / or the gearbox. In particular, this can be an angular velocity, angular position, and / or angular acceleration of a rotor of a motor and / or a gear wheel of the gearbox. In this way, wear of the drive unit and / or the gearbox can be determined particularly advantageously.

[0131] According to one embodiment of the present invention, it is particularly advantageous for a door system designed as a drive unit to have at least one subsystem designed as a motor. In this case, it is particularly advantageous for the at least one measurement information component to include or relate to acoustics, in particular structure-borne sound, a control voltage, pulse width modulation, and / or a motor current. This allows for a particularly advantageous determination of wear.

[0132] According to one embodiment of the present invention, it is conceivable that the system is configured such that, by determining and / or verifying the status of the door system in the status determination step, a prediction can be made as to how long the door system will continue to function without problems. This can be done, for example, by extrapolating historical data into the future.

[0133] The present invention enables particularly advantageous early detection of wear and tear and potential defects, thus facilitating improved planning of service calls and maintenance work. This would allow for service calls to be made before an impending failure of the door system. Furthermore, a service technician could bring the necessary spare parts for the door system or a specific subsystem of the door system. It is conceivable that the system could be advantageously designed and / or trained to automatically recognize which parts of the door system exhibit wear and / or defects. This would eliminate the need for multiple service calls to a door system in operation.

[0134] A further object of the present invention is a computer program product, in particular for determining and / or verifying the status of a door system, wherein the computer program product comprises commands which, when executed by a computer, in particular by a system according to an embodiment of the present invention and / or by a status determination device according to an embodiment of the present invention, cause the computer to execute a method according to an embodiment of the present invention. The computer can be a single computer device or comprise several computer devices. The several computer devices can, in particular, be arranged in different locations, for example, partly as part of the door device and / or the door system and partly as part of or connected to a telecommunications network.

[0135] Another object of the present invention is a computer-readable storage medium comprising instructions which, when executed by a computer, in particular by a system according to an embodiment of the present invention and / or by a status determination device according to an embodiment of the present invention, cause it to execute a method according to an embodiment of the present invention.

[0136] The features, embodiments, and advantages already described in connection with the inventive method for determining and / or verifying the status of a door system or in connection with an embodiment of the inventive method can be applied to the inventive status determination device, the inventive system, the inventive computer program product, and the inventive computer-readable storage medium.For the inventive method, the inventive status determination device, the inventive computer program product and the inventive computer-readable storage medium, the features, embodiments and advantages that have already been described in connection with the inventive system or in connection with an embodiment of the inventive system can be applied.

[0137] Further advantages and details of the invention will be explained below with reference to the exemplary embodiments shown in the drawings. Herein, we show Fig. 1 a schematic representation of a system according to an embodiment of the present invention; Fig. 2 a schematic representation of a system according to an embodiment of the present invention; Fig. 3 a schematic representation of a method for determining and / or verifying the status of a door system according to an embodiment of the present invention; Fig. 4 a schematic representation of a method for determining and / or verifying the status of a door system according to an embodiment of the present invention; Fig. 5 a schematic representation of an acceptance test for an acceptance step according to an embodiment of the present invention; Fig. 6 a schematic representation of the generation of a model according to an embodiment of the present invention; Fig. 7 a schematic representation of a model according to an embodiment of the present invention; Fig.8 a schematic representation of a using a model according to the embodiment of the . Fig. 7 obtained nominal model curve according to an embodiment of the present invention; Fig. 9 a schematic representation of the nominal model curve of the Fig. 8 compared to a wear-prone model curve according to an embodiment of the present invention.

[0138] In Fig. 1 A system according to an embodiment of the present invention is shown schematically. The system comprises a door device 1 with at least one door system 10. It is conceivable that the door device 1 has further door systems. The door system 10 is preferably a drive unit of the door device 1. Alternatively, it is possible, for example, that the door system 10 is an electric lock of the door device 1. Typically, the door system 10 comprises several subsystems 11, 12, 13, each of which can also be understood as parts or groups of parts with which the door system 10 is formed. Examples of such subsystems 11, 12, 13 of a door system 10 designed as a drive unit are a power supply, an electronic control unit, a motor, a gearbox, a carriage, an energy storage device (in particular a spring), etc. The door system 10 has a control device 50 or is connected to a control device 50.According to one embodiment of the present invention, the control device 50 can also be understood as a subsystem of the door system 10. The control device 50 is specifically designed to control the door system 10 or a function of the door system 10. For example, the control device 50 controls a door system 10 designed as a drive unit using pulse width modulation. For this purpose, the control device 50 outputs a control signal. It is conceivable that the control signal is specified and set and / or measured or determined by the control device 50. The set and / or determined control signals can be understood as the determined measurement information 102 of the control device 50. Furthermore, the door system 10 comprises one or more measuring devices 40, 41, in particular sensors.Alternatively, the measuring devices 40, 41 may be partially or completely separate from the door system 10. The measuring devices 40, 41 can be used to measure one or more parameters of the door system 10. Examples of such measuring devices 40, 41 are structure-borne sound sensors, acoustic sensors, voltage sensors, current sensors, temperature sensors, optical sensors, etc. By measuring parameters, the measuring devices 40, 41 determine measurement information 100, 101 concerning the door system 10. The control device 50 and / or the measuring devices 40, 41 are in communication with an edge device 60. The edge device 60 may be connected to the door system 10 and / or the door device 1 as a separate unit. Alternatively, the edge device 60 may simply be located in the vicinity of the door device 1 and / or the door system 10.Alternatively, the edge device 60 can be installed together with the control device 50. Preferably, the edge device 60 includes communication means, in particular wireless communication means, for communication with a local network and / or a telecommunications network. In the illustrated embodiment, the edge device 60 includes a status determination device 30, which is configured to determine and / or verify the status of the door system 10. For this purpose, at least one measurement information 100, 101, 102 is provided to the status determination device 30. The status determination device 30 can also be configured separately from the edge device 60. For example, it is possible that the status determination device 30 is configured using the control device 50. The measurement information 100, 101, 102 is determined using one or more of the measuring devices 40, 41 and / or using the control device 50.The measurement information 100, 101, 102 relates in particular to an operating phase or a sub-area 90 of an operating phase of the door system 10 or the door device 1. The sub-area 90 is in particular one or more contiguous or separate areas 91, 92, 93, 94 of an operating phase of the door device 1.

[0139] The system is configured such that an acceptance test is performed for measurement information 100, 101, 102 using an acceptance criterion before the measurement information 100, 101, 102 is used to determine the status of door system 10. Specifically, the measurement information 100, 101, 102 is used in a status determination step to determine and / or verify the status of door system 10, depending on the acceptance test using the acceptance criterion, such that the measurement information 100, 101, 102 is only used in the status determination step to determine and / or verify the status of door system 10 if it meets the acceptance criterion.

[0140] To determine and / or verify the status of the door system, the status determination device 30 may include a model 20, model information 200, an artificial intelligence system 31, and / or one or more wear threshold values ​​500.

[0141] According to a particularly preferred embodiment of the present invention, a rolling system is used to determine and / or verify the status of the door system 10. In this embodiment, it is particularly possible to dispense with the use of a model and artificial intelligence system in the acceptance step and the status determination step. Here, measured values ​​relating to at least one measured variable and / or control values ​​relating to at least one control variable are determined during an operating phase of the door system 10 or only in a partial area 90 of the operating phase of the door system 10. At least one integral value is calculated from the detected measured values ​​and / or control values ​​using numerical integration, which can also be understood as measurement information 100, 101, 102 determined in the measurement step.The calculated integral value is fed into a rolling system containing integral values ​​(or previous measurement information) from prior recordings or measurement processes. Using the newly recorded integral value and at least some of the integral values ​​from previous recordings or measurement processes, the estimated mean value is determined and compared with a permissible and, in particular, definable limit or threshold value. If the estimated mean value lies within the definable limit or tolerance range, the new integral value (or the new measurement information 100, 101, 102) is accepted. Otherwise, the new integral value is discarded. A wear test is then performed using a wear criterion.In the wear test, a characteristic value of the current wear is preferably calculated using the current data (i.e., in particular, with the help of the new integral value) and then compared with a predefined wear limit (or wear threshold of 500). If the characteristic value of the current wear exceeds the wear threshold of 500, the door system 10 (for example, a drive unit of a door device 1) is in a critical range and maintenance is requested. This check advantageously takes into account the statistical uncertainty, which is composed of the uncertainty of the measurement (i.e., in particular, from the determination of the measured variable and / or control variable) and the predefined wear threshold of 500. Based on an aging factor or wear factor, a prognosis of the remaining service life of the door system 10 can be made. This aging factor or wear factor...The wear factor preferably relates the current wear value to the value of a wear-free door system and the wear threshold. The algorithm is integrated, for example, via two routines. In the first routine, the measurement information (i.e., in particular the integral values) from the transmitted measured values ​​and / or control values ​​is stored in a transfer variable. The second routine comprises the evaluation algorithm, specifically the acceptance step and / or the status determination step. As part of the second routine, the usability of the estimated value of the new mean is preferably first checked in an acceptance test using an acceptance criterion. Subsequently, the current wear value is determined and compared with the wear threshold of 500.If wear is detected, a corresponding status message is sent to the relevant components of the door system and / or the status monitoring device and / or the edge device, and maintenance is requested. Specific exemplary embodiments of such a design are described in the following. Fig. 4 and the Fig. 5 depicted.

[0142] Alternatively or additionally, it is conceivable that, in order to determine and / or verify the status of the door system 10 in the status determination step, the status determination device 30 is configured such that it determines and / or verifies the status of the door system 10 using a model 20 and / or model information 200, in particular one or more model curves. The model information 200 relates to measured variables and / or control variables of the door system 10, which are determined as measurement information 100, 101, 102 using the control device 50 and / or the measuring devices 40, 41. Using the model 20 or the model information 200, characteristic features in the measurement information 100, 101, 102 can be assigned to specific changes and / or properties of the subsystems 40, 41, 42, for example, signs of wear.It is conceivable to perform a comparison between model information 200 obtained using model 20, such as a model curve and / or a threshold value, and measurement information 100, 101, 102 determined at the door system. This advantageously serves to determine and / or verify the status of the door system. For example, it can be determined, by comparing a threshold value determined using model 20 with measurement information 100, 101, 102, whether a critical limit for wear of the door system 10 and / or a subsystem 40, 41, 42 of the door system has been reached. Alternatively or additionally to the use of model information 200 in the status determination step, it is conceivable, for example, that the status determination device 30 has an artificial intelligence system 31 that can be used to determine and / or verify the status of the door system 10.

[0143] In Fig. 2 A system according to an embodiment of the present invention is shown schematically. In contrast to the one in the Fig. 1 The system shown is a Cloud 61. The Cloud 61 can, for example, communicate with the Edge device 60 via a telecommunications network and appropriate communication means. In the system shown in the Fig. 2 In the illustrated embodiment, the status determination device 30 is set up using the cloud 61. The measurement information 100, 101, 102 determined by the measuring devices 40, 41 and / or the control device 50 is transmitted to the cloud 61 via suitable communication means, for example, using the edge device 60, and thus made available to the status determination device 30. The cloud 61 includes a data storage device 62 and / or is in communication with a data storage device 62. The data storage device 62 can, for example, store measurement information 100, 101, 102 of the door system 10 and / or training data for the artificial intelligence system 31.The training data preferably comprises model information 200 determined and / or output by means of model 20 and / or training measurement information measured and / or determined at one or more further door systems 10', 10" and / or training measurement information determined at door system 10. The further door systems 10', 10" and / or the associated further door devices 1' preferably also have a communication connection to the cloud 61 and / or the data storage 62 for transmitting such training measurement information. It is preferably possible that the further door systems 10', 10" are identical or similar systems to door system 10.

[0144] In Fig. 3 Figure 1 shows a schematic representation of a method for determining and / or verifying the status of a door system 10 according to an embodiment of the present invention. Measurement information 100, 101 relating to one or more measured variables of the door system 10 is acquired using one or more measuring devices 40, 41. Alternatively or additionally, measurement information 102 relating to one or more control variables of the door system 10 is acquired using a control device. The measurement information 100, 101, 102 preferably relates to a partial area 90 of an operating phase of the door system 10 or to the entire operating phase. The acquisition of the measurement information 100, 101, 102 takes place, in particular, during the operation of the door device 1, which comprises the door system 10. The acquired measurement information 100, 101, 102 is provided to a status determination device 30.For the measurement information 100, 101, 102, an acceptance step is carried out, for example, fully or partially using the door system 10, a measuring device 40, 41, and / or the status determination device 30. If the measurement information 100, 101, 102 meets the acceptance criterion of the acceptance step, it is used further in a status determination step.

[0145] In the status determination step, the status determination device 30 determines, for example, a status of the door system 10 based on the measurement information 100, 101, 102, using a model 20 and / or model information 200 (in particular model curves 300) and / or an artificial intelligence system 31 (or an AI functionality) and / or one or more wear thresholds 500 and / or wear criteria. If no signs of wear are detected using the measurement information 100, 101, 102, a wear-free status of the door system 10 is determined, for example. If wear of the door system 10 or of a subsystem 11, 12, 13 of the door system 10 is detected, it is conceivable that wear information 400 is output by the status determination device 30.Such wear information 400 can, for example, specify an advantageous time window and / or a point in time for maintenance of the door system 10 and / or contain information about which subsystem 11, 12, 13 has been shown to show wear (e.g., a defect). Such wear information 400 can, for example, be made available to a service technician and / or used for planning future maintenance of the door system 10 and / or the door device 1. This enables particularly advantageous predictive maintenance.

[0146] In Fig. 4 Figure 1 is a schematic representation of a method for determining and / or verifying the status of a door system 10, in particular a drive unit for a door device 1, according to an embodiment of the present invention. Both a measurement routine and an evaluation algorithm of the embodiment are shown. A control device or control module 820, configured to control the firmware of the door system 10, sends an opening command to a drive module 830 of the door system 10 in an opening command step 800 to initiate an opening movement of the door device 1. The opening command controls the motor via a controller that outputs a pulse width modulation. The measured values ​​fed into the controller are preferably stored in a transfer variable at this point.This transfer variable is passed to the measurement routine 840 in a measurement data transmission step 801. Upon its invocation, the measurement routine 840 decides on the relevance of the received data (step 803) and stores the measured values ​​(step 802). If the measurement data was recorded at a relevant location or in a relevant sub-area 90, the current date is stored. This process is repeated iteratively until enough data is available for integral calculation, which is then performed in an integral calculation step 804. According to one embodiment of the present invention, the integral value obtained in the integral calculation step 804 can also be understood as determined measurement information 100, 101, 102. The calculated integral value is then sent to the evaluation algorithm 850 in a transmission step 805. The evaluation algorithm 850 is, in particular, part of a status determination device 30. An arithmetic mean calculation 806 takes place there.As part of an acceptance step, the evaluation algorithm 850 performs an acceptance test 807 to verify whether the obtained integral value is within permissible limits, which are determined, for example, by one or more threshold values. The acceptance test compensates for age-related shifts in the expected value and / or filters out variations caused by external influences such as wind loads or tampering. For calculating the acceptance test value, a rolling system is preferably defined that considers only measured values ​​or integral values ​​from a predefined number of recent opening cycles. Furthermore, in the rolling system, the oldest incremental value is preferably iteratively replaced by the newest.

[0147] During the execution of such an acceptance test, the current measurement information 100, 101, 102 (or the current measured value and / or integral value) of the drive unit is checked. If the test is passed, the current measurement information 100, 101, 102 is accepted and stored in the rolling system. Otherwise, if the test is failed, the current measurement information 100, 101, 102 is preferably discarded. After a subsequent calculation of the standard deviation in a standard deviation calculation step 808, which is used to determine a next test value, the significant measurement limit is determined in a measurement limit calculation step 809. After the calculation of a wear factor (orIn a subsequent step, the significant measurement limit (wear aging factor) is compared with a predefined and / or selectable wear limit (or wear threshold 500) in a wear factor calculation step 810, which can be used for forecasting. The determined status is then sent, for example, to control block 820 (step 811). If wear of the drive unit is detected, maintenance is requested. For example, maintenance is requested by a maintenance routine 860 in maintenance step 812.

[0148] An acceptance step according to an embodiment of the present invention is described below. An acceptance test performed in the acceptance step allows for the filtering out of impermissible measurement information that would adversely affect the determination and / or verification of the status of the door system 10. According to this embodiment, measurement information 100, 101, 102 determined in a measurement step, for example during an opening movement or a partial phase 90 of an opening movement, is intended to replace an old or previous measurement information. In a subsequent step, the estimated deviation x pruef is calculated based on the new measurement information 100, 101, 102, and then it is checked whether the estimated deviation x pruef is within predefined limit values ​​(-c < x pruef < +c) or threshold values. If this is the case, the "new" measurement information 100, 101, 102 is accepted; otherwise, it is rejected.In a first step, the current measurement curve is observed. Data acquisition begins when a relevant sub-range 90 is reached, so that 90 measurements are recorded and stored during this sub-range. After completion of the recording sequence, the surface integral is calculated using numerical integration (for example, using Simpson's formula) to obtain the measurement information 100, 101, 102. The recorded measurement data follows a statistical normal distribution. A probability of error α, also known as the significance level, is defined. This describes the percentage probability of an incorrect decision within the context of the statistical analysis. This means, in particular, that if less than α · 100% of the measurements are incorrect, the significance level is considered normal.If measurement data falls outside the permissible tolerance range, the door system (e.g., a drive unit) is assumed to be defective with a statistical confidence level γ = 1 - α. The critical limits or thresholds used for the subsequent validity or acceptance testing of the measurement data are preferably determined based on the probability of error and the underlying sample size of the measurements.

[0149] For the acceptance test, the estimated values ​​of the mean and standard deviation are determined from the underlying measurement information (or measured values).

[0150] A "new" estimate of the mean x is determined, for example as follows: x neu = 1 k ∗ ∑ i = 1 k x i

[0151] The integral values ​​xi of the respective measurement curves are summed and divided by the sample size k.

[0152] Furthermore, the estimated standard deviation is determined, which is based on the old or previous measurement information: S alt = 1 k − 1 ∑ i = 1 k x i − x alt ∧ 2

[0153] Before the new measurement information 100, 101, 102 (or the integral value x mess ) is included in the database, the acceptance step checks whether the test value x pruef of the new estimated mean value is within the critical limits or thresholds (-c Filter ≤ x pruef ≤ +c Filter ). An example implementation is shown in the Fig. 5 The following is shown. If the test value x pruef is within the range 710 (-c filter ≤ x pruef ≤ +c filter), the new measurement information 100, 101, 102 meets the acceptance criterion and is accepted. Otherwise, if the test value x pruef is within one of the ranges 700 and the acceptance criterion is not met, the measurement information 100, 101, 102 is rejected. According to one embodiment, the test value x pruef can be calculated using the difference between the new mean x new and the old mean x old. Preferably, normalization is performed using the old standard deviation. The test value x pruef can be determined, for example, as follows: x pruef = x neu − x alt S alt / k where x new is the new estimate of the mean, x old is the old estimate of the mean, S old is the old estimate of the standard deviation, and k is the sample size.

[0154] A status determination step according to an embodiment of the present invention is described below. In this step, the wear status of the door system, particularly the drive unit, is determined. For example, the current wear age can be determined and / or a prognosis for potential defects can be established. According to one embodiment, a wear threshold or wear limit c* test is specified. The wear threshold or wear limit c* test can, for example, be based on empirical values ​​or test measurements, determined using a model, and / or determined using an artificial intelligence system. The wear limit c* test is configured such that the door system 10 (in particular, a drive of the door device) is considered defective upon reaching this wear limit c* test.

[0155] To determine the operational capability of the drive, the current or new estimated value of the mean value xnew (which is calculated using at least one newly determined measurement information 100, 101, 102 and was determined, for example, using the preceding embodiment) is first subtracted from the permissible wear limit c*test. This difference is then standardized and compared to a critical limit ballow (taking into account the statistical uncertainty of the measurement). A test value cmeasure is thus determined as follows: c Mess = x neu − c Test ∗ S neu / k where x new is the new estimated mean, c* test is a permissible predefinable wear limit, S new is the current estimated standard deviation, k is the sample size.

[0156] If the test value c is within the critical limit range (b zul), the drive can be considered defective with the required statistical probability and maintenance can be requested.

[0157] The verification of the wear value is subject to an overall statistical uncertainty. This uncertainty comprises the uncertainty of the drive failure and the uncertainty of the measurement. A maximum limit for these two uncertainties can be selected and / or defined, thereby striking a compromise between the probability of premature drive failure and reliable detection.

[0158] In Fig. 6 Figure 1 shows a schematic representation of a method for generating a model 20 according to an embodiment of the present invention. For this purpose, a real door system 10 is analyzed. In a system influence determination step 600, the properties and parameters of the subsystems 11, 12, 13, 14, 15, 16, 17, 18, 19 are determined. Preferably, in a system influence filtering step 601, the relevant system influences are filtered out. In a system component step 602, the door system 10 is decomposed or subdivided into individual subsystems 11, 12, 13, 14, 15, 16, 17, 18, 19. In an interaction step 603, the interactions between the individual subsystems 11, 12, 13, 14, 15, 16, 17, 18, 19 (or components) are determined and / or described. In test step 604 of the model, a check is carried out to determine whether the model meets an accuracy criterion, i.e., in particular whether it exhibits a desired accuracy.If the desired accuracy is not achieved, all or some of steps 600, 601, 602, 603, and 604 are repeated, in particular until the desired accuracy is achieved. If the desired accuracy is achieved in test step 604, the sequence of steps 600, 601, 602, 603, and 604 is terminated. Decomposition and word modeling are performed. Model 20 preferably comprises individual model blocks 71, 72, 73, 74, 75, 76, 77, 78, and 79 for all relevant subsystems 11, 12, 13, 14, 15, 16, 17, 18, and 19. Model blocks 71, 72, 73, 74, 75, 76, 77, 78, and 79 can also be understood as simulation submodels.

[0159] The following model blocks are conceivable as examples:

[0160] The first model block 71 concerns a gearbox.

[0161] The second model block 72 concerns a flap trolley.

[0162] The third model block 73 concerns a door.

[0163] The fourth model block, 74, concerns an engine.

[0164] The fifth model block, 75, concerns an electronic control system.

[0165] The sixth model block 76 concerns a deflection unit, in particular a deflection pulley and / or a timing belt.

[0166] The seventh model block 77 concerns an energy storage device, in particular a spring.

[0167] The eighth model block, 78, concerns a power supply.

[0168] The ninth model block 79 concerns a power transmission element, for example a toothed belt.

[0169] Numerous other options for model blocks for different door systems are conceivable.

[0170] In Fig. 7 Figure 20 shows a schematic representation of a model 20 according to an embodiment of the present invention. The example shows a model 20 for a door system 10 designed as a drive unit. The model 20 comprises a first model block 71 for a power supply, a second model block 72 for an electronic control unit, a third model block 73 for a motor, a fourth model block 74 for a gearbox, a fifth model block 75 for a latch carriage, and a sixth model block 76 for an energy storage device (in particular, a spring). Using the model 20, model information 200, in particular a model curve 300 for a measured quantity and / or control variable measurable at the door system, is generated. In this characteristic model curve 300, individual effects, in particular wear effects, of the subsystems of the door system 10 considered in the model blocks can be identified and assigned to the subsystems.These relationships can be identified using model 20 by varying the properties and parameters of the model blocks. In particular, a sub-area 90 of an operating phase of the door system 10 can be identified in which specific wear phenomena of the door system 10 or of subsystems of the door system 10 are identifiable in measurement data. Sub-area 90 can comprise a contiguous area or two or more separate and spaced-apart areas of the operating phase. For example, model curve 300 represents an angular velocity w at the drive shaft of the gearbox over time t during an opening movement of the door device 1. In this embodiment, gearbox wear is evident in the initial phase of the opening movement. Increased gearbox wear leads to a drop in the curve after the acceleration phase.Gearbox wear can be determined, for example, as follows: Gearbox wear = current gearbox backlash - initial gearbox backlash. Wear in the bearings of the trailer hitch becomes noticeable, for example, through flexion of the curve during constant speed driving, especially through a drop in angular velocity with the loss of acceleration components.

[0171] In Fig. 8 Figure 1 shows a schematic representation of a nominal model curve 301 obtained using a model 20. The nominal model curve 301 can also be understood as model information 200. The nominal model curve 301 represents the angular velocity w of the drive shaft of a gearbox of a door system 10 as a function of time t for an opening operation of the door device comprising the door system 10. The gearbox is a subsystem 11, 12, 13 of the door system 10. The nominal model curve 301 is the curve obtained without any wear of the door system 10, i.e., in particular in a normal state or initial good state of the door system 10. Furthermore, manufacturing and / or tolerance-related deviations 302 of the door system 10 without wear are shown.Such manufacturing and / or tolerance-related deviations can be taken into account in the model 20 for the various subsystems of the door system 10 and the entire door system 10 using model blocks of the model and their properties.

[0172] In Fig. 9 is a schematic representation of the nominal model curve 301 of the Fig. 8 (without wear) compared to a wear-influenced model curve 303. Using model 20 or the model curves 301 and 303 generated by the model, the sub-section 90 (or sections 91, 92, 93, and 94 of sub-section 90) of the opening process of the door device 10 can be identified, in which wear effects of individual subsystems become apparent when measuring the angular velocity w of the drive shaft of the gearbox. In particular, a first, second, third, and fourth section 91, 92, 93, and 94 of sub-section 90 of the operating phase are shown. Gearbox wear can be determined and / or quantified, for example, via a difference D between a current value and a nominal or initial value. In the first section 91, especially at the beginning of the opening movement, vibrations are noticeable with increasing gearbox backlash.The increasing gear backlash is a wear effect of the gearbox, which is thus detectable in the first area 91. In the second area 92, increased friction and increased wear of the gearbox lead to a drop in angular velocity after the end of the acceleration run. In the third area 93, during constant speed driving, a drop in angular velocity with increasing friction and increasing gearbox wear is also noticeable. In the fourth area 94, oscillations around the nominal model curve 301 occur with increasing friction. Using the model 20, a sub-area 90, comprising one or more separate areas 91, 92, 93, 94, can thus be determined in which wear phenomena can be identified by determining measurement information 100, 101, 102 of a door system 20 and can preferably be assigned to individual subsystems of the door system 10. Fig. 9Figure 1 shows an embodiment of the present invention. Numerous other embodiments are conceivable, in which, for example, measured variables other than the angular velocity w can be used to determine wear phenomena and / or to determine the partial range 90. Reference symbol list

[0173] 1 Door device 1' Additional door device 10 Door system 10', 10" Additional door systems 11 First subsystem 12 Second subsystem 13-19 Additional subsystems 20 Model 30 Status determination device 31 Artificial intelligence system 40 Measuring device 41 Measuring device 50 Control device 60 Edge device 61 Cloud 62 Data storage 71 First model block 72 Second model block 73-79 Additional model blocks 90 Partial area of ​​an operating phase 91 First area 92 Second area 93 Third area 94 Fourth area 100 Measurement information 101 Measurement information 102 Measurement information 200 Model information 300 Model curve 301 Model curve 302 Deviations 303 Model curve 400 Wear information 500 Wear threshold 600 System influence determination step 601 System influence filtering step 602 System component step 603 Interaction step 604 Test step 700 Area in which the acceptance criterion is not met 710 Area,in which the acceptance criterion is met 800 Opening command 801 Measurement data transmission step 802 Step 803 Step 804 Integral calculation step 805 Transmission step 806 Mean value calculation 807 Acceptance test 808 Standard deviation calculation step 809 Measurement limit value calculation step 810 Wear factor calculation step 811 Step 812 Maintenance step 820 Control module 830 Driving module 840 Measurement routine 850 Evaluation algorithm 860 Maintenance routine D Difference t Time w Angular velocity α Error probability γ Statistical confidence c Filter Threshold S old old estimated value of the standard deviation x old old estimated value of the mean x new new estimated value of the mean x measured integral value x tested test value,

Claims

1. A method for determining and / or verifying a status of a door system (10), wherein the method comprises the following steps: -- at least one item of measurement information (100, 101, 102) relating to the door system (10) is determined in a measurement step, -- in an acceptance step, an acceptance test is carried out for the at least one determined item of measurement information (100, 101, 102) by means of an acceptance criterion, wherein the determined item of measurement information (100, 101, 102) is used in a status determination step to determine and / or verify the status of the door system (10) as a function of the acceptance test, in particular only if the acceptance criterion is fulfilled, in particular wherein the determined item of measurement information (100, 101, 102) is discarded if the acceptance criterion is not fulfilled, characterised in that the acceptance test by means of the acceptance criterion comprises a comparison between -- (i) the at least one item of measurement information (100, 101, 102) determined in the measurement step or a new mean value determined by means of this item of measurement information (100, 101, 102), and -- (ii) at least one previous item of measurement information, wherein the previous item of measurement information comprises a previous mean value of a plurality of previously determined items of measurement information relating to the door system (10).

2. The method according to claim 1, wherein the at least one item of measurement information (100, 101) is determined by means of a measurement of a measured variable of the door system (10) by way of a measuring device (40, 41), and / or wherein the at least one item of measurement information (102) is determined by setting and / or determining an activation variable of the door system (10) by way of a control device (50).

3. The method according to one of the preceding claims, wherein the at least one item of measurement information (100, 101, 102) is determined during an operating phase of the door system (10) or only during a partial region (90) of the operating phase of the door system (10).

4. The method according to claim 3, wherein the operating phase of the door system (10) comprises an opening process and / or a closing process of the door system (10) and / or of a door device (1) having the door system (10), in particular wherein the partial region (90) of the operating phase is only a partial region of the opening process and / or of the closing process.

5. The method according to one of claims 3 or 4, -- wherein the at least one item of measurement information (100, 101, 102) determined in the measurement step comprises at least one integral value of a measured variable determined during the operating phase or the partial region (90) of the operating phase, and / or -- wherein the at least one item of measurement information (100, 101, 102) determined in the measurement step comprises at least one integral value of an activation variable determined during the operating phase or the partial region (90) of the operating phase, and / or -- wherein the at least one item of measurement information (100, 101, 102) determined in the measurement step is determined as a function of at least one integral value of a measured variable determined during the operating phase or the partial region (90) of the operating phase, and / or -- wherein the at least one item of measurement information (100, 101, 102) determined in the measurement step is determined as a function of at least one integral value of an activation variable determined during the operating phase or the partial region (90) of the operating phase.

6. The method according to one of the preceding claims, wherein the acceptance test by means of the acceptance criterion for the at least one determined item of measurement information (100, 101, 102) comprises a comparison with a threshold value.

7. The method according to one of the preceding claims, wherein the previous item of measurement information comprises the previous mean value of a plurality of previously determined items of measurement information relating to the door system (10) in such manner that the previous mean value is formed by means of a plurality of previously determined items of measurement information relating to the door system (10).

8. The method according to one of the preceding claims, wherein the new mean value is formed at least by means of some of the plurality of previously determined items of measurement information and additionally by means of the at least one item of measurement information (100, 101, 102) determined in the measurement step.

9. The method according to one of the preceding claims, wherein, in particular after the acceptance step and preferably if the at least one item of measurement information (100, 101, 102) determined in the measurement step fulfils the acceptance criterion, a further comparison with a wear criterion, in particular at least one wear threshold value (500), is carried out by means of the at least one item of measurement information (100, 101, 102) determined in the measurement step and / or by means of the new mean value, wherein the status of the door system (10) is determined and / or verified by means of the further comparison with the wear criterion.

10. The method according to one of the preceding claims, wherein the at least one item of measurement information (100, 101, 102) relates to or comprises one or a plurality of: - Position characteristics, - Speed characteristics, - Acceleration characteristics, - Motor activation characteristics, in particular pulse width modulation, - Current characteristics, in particular of a motor and / or total current, - Voltage characteristics, in particular a power supply voltage and / or motor voltage, - Temperature characteristics, in particular a temperature of an environment, a motor, a power supply unit and / or one or a plurality of electrical components, - Vibration characteristics, in particular acoustics, preferably a structure-borne sound characteristic.

11. A status determination device (30) for determining and / or verifying a status of a door system (10), - wherein the status determination device (30) is configured to receive at least one determined item of measurement information (100, 101, 102) relating to the door system (10), - wherein the status determination device (30) is configured for the at least one determined item of measurement information (100, 101, 102) for carrying out an acceptance test by means of an acceptance criterion, wherein the status determination device (30) is configured in such manner that the determined item of measurement information (100, 101, 102) is used as a function of the acceptance test, in particular only if the acceptance criterion is fulfilled, for determining and / or verifying the status of the door system (10), in particular wherein the determined item of measurement information (100, 101, 102) is discarded if the acceptance criterion is not fulfilled, characterised in that the acceptance test by means of the acceptance criterion comprises a comparison between -- (i) the determined at least one item of measurement information (100, 101, 102) or a new mean value determined by means of this item of measurement information (100, 101, 102), and -- (ii) at least one previous item of measurement information, wherein the previous item of measurement information comprises a previous mean value of a plurality of previously determined items of measurement information relating to the door system (10).

12. A system for determining and / or verifying a status of a door system (10), wherein the system comprises a status determination device (30) according to claim 11 and the door system (10).

13. The system according to claim 12, wherein the system comprises a measuring device (40, 41) and / or a control device (50), wherein the measuring device (40, 41) is configured in such manner that the measuring device (40, 41) determines the at least one item of measurement information (100, 101) by measuring a measured variable of the door system (10), wherein the measuring device (40, 41) is configured in particular in such manner that the measuring device (40, 41) provides the at least one item of measurement information (100, 101) to the status determination device (30), and / or wherein the control device (50) is configured in such manner that the control device (50) determines the at least one item of measurement information (102) by setting and / or determining an activation variable of the door system (10), wherein the control device (50) is configured in particular in such manner that the control device (50) provides the at least one item of measurement information (102) to the status determination device (30).

14. A computer program product, in particular for determining and / or verifying a status of a door system (10), wherein the computer program product comprises instructions which, when the computer program product is executed by a computer, in particular by a system according to one of claims 12 or 13 and / or by a status determination device (30) according to claim 11, cause the computer to carry out a method according to one of claims 1 to 10.

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