EP4105425A1 - Procédé de détermination et/ou de vérification de l'état d'un système de porte, dispositif de détermination de l'état, système, produit-programme informatique - Google Patents

Procédé de détermination et/ou de vérification de l'état d'un système de porte, dispositif de détermination de l'état, système, produit-programme informatique Download PDF

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Publication number
EP4105425A1
EP4105425A1 EP21180267.3A EP21180267A EP4105425A1 EP 4105425 A1 EP4105425 A1 EP 4105425A1 EP 21180267 A EP21180267 A EP 21180267A EP 4105425 A1 EP4105425 A1 EP 4105425A1
Authority
EP
European Patent Office
Prior art keywords
measurement information
door system
determined
door
status
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP21180267.3A
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German (de)
English (en)
Inventor
Benjamin Friedrich
Ingo Halder
Martin Wagner
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dormakaba Deutschland GmbH
Original Assignee
Dormakaba Deutschland GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dormakaba Deutschland GmbH filed Critical Dormakaba Deutschland GmbH
Priority to EP21180267.3A priority Critical patent/EP4105425A1/fr
Publication of EP4105425A1 publication Critical patent/EP4105425A1/fr
Pending legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
    • E05F15/00—Power-operated mechanisms for wings
    • E05F15/70—Power-operated mechanisms for wings with automatic actuation
    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05F—DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION; CHECKS FOR WINGS; WING FITTINGS NOT OTHERWISE PROVIDED FOR, CONCERNED WITH THE FUNCTIONING OF THE WING
    • E05F15/00—Power-operated mechanisms for wings
    • E05F15/70—Power-operated mechanisms for wings with automatic actuation
    • E05F15/73—Power-operated mechanisms for wings with automatic actuation responsive to movement or presence of persons or objects
    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05Y—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES E05D AND E05F, RELATING TO CONSTRUCTION ELEMENTS, ELECTRIC CONTROL, POWER SUPPLY, POWER SIGNAL OR TRANSMISSION, USER INTERFACES, MOUNTING OR COUPLING, DETAILS, ACCESSORIES, AUXILIARY OPERATIONS NOT OTHERWISE PROVIDED FOR, APPLICATION THEREOF
    • E05Y2400/00—Electronic control; Electrical power; Power supply; Power or signal transmission; User interfaces
    • E05Y2400/10—Electronic control
    • E05Y2400/45—Control modes
    • E05Y2400/456—Control modes for programming, e.g. learning or AI [artificial intelligence]
    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05Y—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES E05D AND E05F, RELATING TO CONSTRUCTION ELEMENTS, ELECTRIC CONTROL, POWER SUPPLY, POWER SIGNAL OR TRANSMISSION, USER INTERFACES, MOUNTING OR COUPLING, DETAILS, ACCESSORIES, AUXILIARY OPERATIONS NOT OTHERWISE PROVIDED FOR, APPLICATION THEREOF
    • E05Y2400/00—Electronic control; Electrical power; Power supply; Power or signal transmission; User interfaces
    • E05Y2400/10—Electronic control
    • E05Y2400/45—Control modes
    • E05Y2400/458—Control modes for generating service signals
    • E—FIXED CONSTRUCTIONS
    • E05—LOCKS; KEYS; WINDOW OR DOOR FITTINGS; SAFES
    • E05Y—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES E05D AND E05F, RELATING TO CONSTRUCTION ELEMENTS, ELECTRIC CONTROL, POWER SUPPLY, POWER SIGNAL OR TRANSMISSION, USER INTERFACES, MOUNTING OR COUPLING, DETAILS, ACCESSORIES, AUXILIARY OPERATIONS NOT OTHERWISE PROVIDED FOR, APPLICATION THEREOF
    • E05Y2900/00—Application of doors, windows, wings or fittings thereof
    • E05Y2900/10—Application of doors, windows, wings or fittings thereof for buildings or parts thereof
    • E05Y2900/13—Type of wing
    • E05Y2900/132—Doors

Definitions

  • the invention relates to a method for determining and/or checking a status of a door system. Furthermore, the invention relates to a status determination device for determining and/or checking a status of a door system, as well as such a system and a computer program product.
  • door devices and their subsystems or door systems typically suffer from signs of wear, which can be caused by the use of the door device, by the aging of the parts and components or by environmental influences. Such wear phenomena can depend on a variety of influences and can develop very differently and at different speeds.
  • various door systems of a door device can be affected by signs of wear, for example a drive unit of the door device or an electric lock. In principle, therefore, it is necessary to service door devices in order to identify and rectify signs of wear and defects.
  • the task arises of enabling the status of a door system to be determined and/or checked efficiently, so that the effort and costs for maintenance work and/or the downtimes can preferably be reduced.
  • a particularly advantageous and particularly precise status determination for a door system can be achieved in this way, errors in the status determination being able to be reduced.
  • advantageous status monitoring can be achieved in this way, which enables improved planning for maintenance work. Efficient predictive maintenance can thus be achieved for a door system. In particular, unnecessary maintenance work by a specialist can be reduced or avoided. Both resources and costs can thus be saved.
  • an advantageous acceptance test can be integrated into a method for determining and/or checking a status of a door system, whereby an aging-related migration of the expected value of measurement information or measured variables and/or control variables of the door system can be compensated.
  • an advantageous filtering for the measurement information can be achieved, with which scatter caused by external influences, such as changing wind loads or temperatures, or by intentional or unintentional influences by users of the door system, can be filtered. It is conceivable, for example, that there is an unusual wind load during the measurement step, which significantly influences the measurement information. With the aid of the present invention, interference of this type, which can falsify the determination of a wear status, can be eliminated or at least reduced in a particularly advantageous manner. Thus, for example, the occurrence of a false alarm in status monitoring can be reduced.
  • the determined measurement information can be stored in a memory of the door system and/or remote from the door system. Such measurement information can then be subjected to a further analysis step. In this way, an unusual situation of the door system, in particular a burglary and / or a burglary attempt and / or Vandalism and/or high wind loads can be determined.
  • the further analysis step can be carried out using a further model and/or using an artificial intelligence system and/or a further artificial intelligence system.
  • a status of a door system can be determined and/or checked for a selectable period of time. It is conceivable that the steps of the method are carried out in different orders. It is conceivable that the steps of the procedure overlap in time.
  • the method according to the invention is in particular a computer-implemented method in which one, several or all steps of the method are executed in a computer-implemented manner.
  • the acceptance criterion can also be understood as a filter criterion for the measurement information (re)determined in the measurement step or the measurement information determined in the measurement step. It is particularly preferably possible for the newly determined measurement information to be used for further determination and/or checking of the status of the door system in a status determination step only if the newly determined measurement information satisfies the filter criterion. Otherwise, in particular if the newly determined piece of measurement information does not meet the filter criterion, it is conceivable that the newly determined piece of measurement information is preferably discarded. Influences that are not caused by wear and tear on the door system or the door device can thus be reduced particularly advantageously when determining and/or checking the status of the door system, which improves the quality of the status monitoring.
  • the ascertained and/or checked 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.
  • a Wear status can be determined and/or output, with the help of which predictive maintenance can be implemented.
  • the at least one item of measurement information is determined using a measurement of a measurement variable of the door system by a measurement device, and/or that the at least one item of measurement information is determined by a control device setting and/or determining a control variable of the door system.
  • the control variable can also be understood as an adjustable variable for the door system, which is output and/or set by the control device, for example 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 variable can be a drive voltage and/or one or more parameters of a pulse width modulation, for example.
  • the measured variable can also be understood as a measurable variable of the door system.
  • the at least one item of measurement information is determined during an operating phase of the door system or only during a partial area of the operating phase of the door system.
  • the measurement information it is possible for the measurement information to be determined by numerical integration of values determined in the partial area Measured values relating to at least one measured variable and/or control values relating to at least one control variable is formed.
  • the measurement information is preferably determined in such a way that the measurement variable of the door system is measured by the measurement device for generating the at least one measurement information only in the partial area.
  • the measurement information is thus preferably determined in such a way that the activation variable of the door system is determined by the control device for generating the at least one measurement information only in the partial area.
  • the measurement information is not determined during at least one further sub-area of the operating phase or that the measurement information is not determined during the entire operating phase outside of the sub-area.
  • costs and energy can be saved and the amount of data generated can be kept low.
  • 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 having the door system, in particular with the partial area of the operating phase only being a partial area of the opening process and/or the closing process is.
  • the opening process can also be understood as an opening drive.
  • the closing process can also be understood as a closing run.
  • a complete rotation of the door element or the separating device can be understood as a completed opening and closing process.
  • the partial area may include at least one acceleration area and/or one braking area, in particular during an opening process and/or a closing process of a door device having the door system.
  • the sub-area includes at least constant travel of the door device having the door system, with the door device preferably having an at least approximately constant speed during constant travel.
  • the partial area may include at least an approach area of the door device having the door system, in particular from a standstill.
  • the partial range includes at least one transitional range between an acceleration range and constant travel.
  • the partial area may include at least one transition area between an acceleration area and a braking area.
  • the sub-area prefferably includes at least one transition area between constant driving and a braking area.
  • the partial area includes one or more areas in which an acceleration and/or a sign of an acceleration and/or a direction of movement of the door device and/or the door system changes.
  • an acceleration and/or a sign of an acceleration and/or a direction of movement of the door device and/or the door system changes.
  • wear of the drive unit or a subsystem of the drive unit for example a gear, to be recognizable in one or more sub-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 an approach range and/or a transitional range between an acceleration range and constant travel and/or a transitional range between an acceleration range and a braking range and/or a transitional range between constant travel and a braking area.
  • wear is particularly advantageously recognizable in those partial areas in which mass inertia forces act.
  • the determined at least one item of measurement information includes structure-borne noise, a speed of a moving part of the engine and/or the transmission, in particular an angular velocity of the engine, in particular a rotor, and/or transmission, in particular a gear wheel, and/or or relates to a current and/or a control voltage of the motor of the drive unit.
  • a particularly advantageous determination of signs of wear is possible on the basis of such measurement information.
  • a motor can usually include a non-moving part in the form of a stator and the moving part, in particular when it is designed as a rotary motor in the form of a rotor.
  • a door system designed as a drive unit of a door device that has no spring and/or no energy store, for example a sliding door that the partial area has a reversal area between an opening movement and a closing movement, and/or or a reversal area between a closing movement and an opening movement, and/or a reversal area between a left movement and a right movement, and/or a reversal region between a right movement and a left movement.
  • a reversal area is particularly suitable for determining wear on the door system or on a subsystem of the door system, for example a gear.
  • such a reversal area can also be understood as a sub-area composed of a braking area and an approach area.
  • the backlash in such a reversal area is proportional to the wear of the door system or the subsystem of the door system.
  • the determined at least one piece of measurement information or the determined measurement information is a speed of a moving part of the motor and/or the transmission, in particular an angular velocity of a rotor of the motor and/or a gear wheel of the transmission, and/or a current and/or a control voltage of the drive unit motor.
  • a particularly advantageous determination of signs of wear is possible on the basis of such measurement information.
  • further measurement information in particular relating to the same measured variable and/or control variable as the measured information, is determined, the determination and/or checking of the status of the door system, in particular in the status determination step, being independent of the further measurement information, and/or the further measurement information being disregarded when determining and/or checking the status of the door system, in particular in the status determination step. It is therefore conceivable that the further measurement information has no influence on the determination and/or monitoring of the status of the door system.
  • measurement information relating to the measured variable and/or control variable is determined during the entire operating phase of the door system, in particular by determining a measured variable and/or setting and/or determining a control variable during the entire operating phase of the door system, with only the part of the measurement information determined in the sub-area of the operating phase, ie in particular the at least one measurement information, is used to determine and/or monitor the status of the door system. Measurement information ascertained outside of the relevant sub-area can thus particularly advantageously remain unconsidered when ascertaining the status.
  • the model takes into account and/or includes the kinematics and/or the kinetics of the door device, the door system and/or the subsystems of the door system. It is preferably conceivable that the model takes into account and/or includes mechanical interactions, mass inertia and/or mechanical forces. It is particularly advantageous that the model alternatively or additionally takes into account and/or includes electrical interactions, temperatures and/or pressures.
  • the model has 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 sub-system and the second model block relates in particular to at least one property of the second sub-system.
  • the properties of the subsystem can be production tolerances, dimensional deviations, component weight and/or wear effects.
  • the model preferably has further model blocks for further subsystems of the door system.
  • the artificial intelligence system can use the training data, in particular the Model information is trained to determine from the at least one piece of measurement information, in particular in the status determination step, in which of the subsystems of the door system there is wear and/or how far the wear has progressed.
  • the training data in particular the Model information is trained to determine from the at least one piece of measurement information, in particular in the status determination step, in which of the subsystems of the door system there is wear and/or how far the wear has progressed.
  • a time-optimized and individual maintenance can be achieved.
  • the operating behavior from the past which can be stored in a storage medium of the door system, in particular operating cycles per time, can be taken into account. In the case of operating behavior from the past, an average of the last week, the last month and/or the last months can be used in particular.
  • such a subsystem can include a component or a component group, such as a transmission and/or an engine and/or an electronic controller.
  • the at least one item of measurement information ascertained in the measurement step is used in such a way as a function of the acceptance test with the aid of the acceptance criterion for ascertaining and/or checking the status of the door system that the at least one piece of measurement information is only then used for ascertaining and/or or checking the status of the door system is used if the acceptance test using the acceptance criterion shows that the at least one piece of measurement information satisfies the acceptance criterion.
  • the acceptance test using the acceptance criterion includes a comparison using the at least one item of measurement information determined in the measurement step and at least one piece of earlier measurement information.
  • the earlier measurement information includes an earlier mean value of several previously determined pieces of measurement information relating to the door system, in particular such that the earlier mean value is formed using several previously determined pieces of measurement information relating to the door system.
  • the new mean value is formed at least with the aid of some of the multiple pieces of measurement information ascertained earlier and additionally using the at least one piece of measurement information ascertained in the measuring step.
  • the at least one piece of measurement information ascertained in the measurement step replaces the oldest of the previously ascertained measurement information items, which were previously used to form the earlier mean value, when the new mean value is formed.
  • a particularly advantageous rolling system can thus be achieved, in which case - in particular if newly determined measurement information (i.e. the at least one measurement information determined in the measurement step) meets the acceptance criterion - this newly determined measurement information replaces the oldest earlier measurement information in the formation of a renewed acceptance criterion.
  • the acceptance criterion can be adapted to real conditions with the age of the door system.
  • the at least one item of measurement information ascertained in the measurement step comprises a mean value of measured values and/or a mean value of integral values of measured values.
  • a further comparison is carried out with a wear criterion, in particular at least one wear threshold value, the status of the door system being determined and/or checked with the aid of the further comparison with the wear criterion.
  • This further comparison is in particular part of the status determination step.
  • the status determination step for determining and/or checking the status of the door system additionally or alternatively includes an analysis of the at least one piece of measurement information using a model and/or an artificial intelligence system.
  • the model is set up in such a way 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 in the model and/or a change which follows at least one piece of model information.
  • the model is used to determine and/or quantify a dependency of the at least one item of measurement information on at least one property of the first subsystem, and/or wherein a dependency of the at least one item of measurement information on a variation of at least one property of the first subsystem is determined and/or quantified with the aid of the model. It is thus particularly conceivable that the dependency of a measured variable and/or control variable of the door system on at least one property of the first subsystem is simulated with the aid of the model, and/or wherein 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 is simulated with the aid of the model.
  • the model is possible for the model to be used to determine and/or quantify a dependency of the at least one item of measurement information on at least one property of the second subsystem, and/or that a dependency of the at least one item of measurement information on a variation of at least one property of the second subsystem is determined and/or quantified with the aid of the model.
  • a model block it is advantageously conceivable for a model block to be defined for several, in particular for each subsystem of the door system that actually exists, to which a specific behavior is impressed and/or one or more physical properties are added as characteristics can, for example, production tolerances, dimensional deviations, and/or wear effects.
  • the model for the door system is preferably composed of the individual sub-systems and/or model blocks relating to the sub-systems and, overall, results in characteristic model information. Accordingly, each physical property of a model block is reflected particularly advantageously in the characteristic model information. In particular, it is possible for the effect of each individual model block to be recognized and/or learned separately through targeted variation.
  • the characteristic model information generated by the model in particular a Model curve can be compared with real measurement curves, which are obtained, for example, using a measuring device and/or a control device.
  • This makes it possible to determine and/or check the status of the door system in a particularly advantageous manner, it being possible for wear and tear of the individual subsystems of the door system to be recognized and/or identified in a particularly advantageous manner. It can thus be determined for which of the subsystems of the door system there is wear and/or how far advanced the wear is. As a result, advantageous maintenance can be carried out depending on the determination and/or checking of the status.
  • a wear phenomenon and/or a wear status of the first subsystem is determined.
  • a test step of the model - preferably before the status determination step - the model is checked and/or tested using one or more measured values and/or control values relating to the door system and/or relating to another Door system is carried out, with the review and / or test is checked in particular whether the model meets an accuracy criterion.
  • the model information (or simulation data) of the model has a desired accuracy compared to the one or more measured values and/or control values, which are determined in particular using real measurements and/or real settings on a physical or real Door system are determined to achieve.
  • the test step can take place before and/or during ongoing operation of the door system and/or the door device.
  • the model is preferably used in the status determination step for determining and/or checking the status of the door system.
  • the model is preferably adapted and/or changed, in particular until it meets the accuracy criterion.
  • the model is particularly preferably only used after the accuracy criterion has been met in the status determination step for determining and/or checking the status of the door system.
  • the accuracy criterion is in particular a selectable and/or specifiable criterion.
  • the model has a model block for the gear.
  • the transmission is usually mechanically and kinematically complex, so that model information for the training data is helpful here.
  • the bracket carriage is used in particular in revolving door drives in order to directly or indirectly convert a linear movement, in particular of a spring, into a rotational movement.
  • the plate carriage can include a bearing, in particular a needle bearing.
  • a bearing represents the component of the door system that is subjected to the highest loads.
  • the bracket carriage is therefore suitable both as a model block and as a subsystem, in particular with signs of wear being detected via the motor current and/or via PWM and/or via acoustics, in particular structure-borne noise. are recognizable.
  • the model it is possible, in particular for a door system having a drive unit, for the model to have a model block for a door or a door leaf.
  • the model has a model block for the motor. Electrical and mechanical factors come together in the motor, so that model information is helpful for the training data.
  • the model it is possible, in particular for a door system having a drive unit and having an electronic control device, for the model to have a model block for the electronic control device.
  • the control device ensures a closed control circuit and is therefore also suitable as a subsystem, in particular signs of wear being evident from electrical measured variables such as voltage and/or current and/or PWM.
  • the model it is possible, in particular for a door system having a drive unit with a deflection unit, for the model to have a model block for the deflection unit, in particular a deflection roller and/or a toothed belt.
  • the deflection unit is usually subject to wear, especially because of the many changes in direction of the movements.
  • the deflection unit is therefore also suitable as a subsystem, in particular with signs of wear being recognizable from measurement information relating to acoustics, in particular structure-borne noise, the current profile and/or PWM.
  • the model it is possible, in particular for a door system having a drive unit, for the model to have a model block for an energy store, in particular a spring or a rechargeable battery.
  • the model it is possible, in particular for a door system having a drive unit and having a power pack, for the model to have a model block for the power pack.
  • the power supply can include capacitors, which wear out over time and can fail under high electrical loads.
  • the power pack is therefore also suitable as a subsystem, in particular signs of wear and tear being evident from measurement information relating to the voltage
  • the model it is possible, in particular for a door system having a drive unit, for the model to have a model block and a power transmission element, for example a toothed belt.
  • a power transmission element for example a toothed belt.
  • such an element is used in sliding doors and is subject to fabric abrasion. Signs of wear are advantageously recognizable from measurement information relating to acoustics, in particular structure-borne noise, position progression and/or current progression.
  • the status of the door system is determined and/or checked in the status determination step with the aid of an artificial intelligence system.
  • the artificial intelligence system analyzes the at least one item of measurement information in the status determination step. It can thus be determined with the aid of the artificial intelligence system in particular whether the door system and/or a subsystem of the door system is worn and in particular how far the wear has progressed. Thus, a time-optimized and individual maintenance can be achieved. In particular, it is possible for a point in time for the next maintenance to be selected depending on the determined status of the door system.
  • the artificial intelligence system is trained using training data, in particular at least partially in a training phase before the status determination step. It is conceivable that the training phase is carried out completely before the status determination step. It is alternatively conceivable that training data are also used during operation of the door system, for example before, during and/or after a status determination step, in order to further train the artificial intelligence system. It is thus 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 already being determined and/or checked.
  • the training data include at least one piece of model information, in particular a model curve, determined and/or output using a model.
  • model information in particular a model curve
  • the training data is therefore often very cumbersome and expensive, since a large number of data on identical or very similar door devices is typically recorded for this purpose would have to be.
  • the training data includes model information that was generated using a model, in particular a simulation model
  • the test effort on real door systems for training the artificial intelligence system can therefore be particularly advantageously reduced.
  • An advantageous use of an artificial intelligence system is thus also possible for door devices and door systems that are manufactured individually or adapted to their application or that are only manufactured in relatively small numbers.
  • the artificial intelligence system is configured after the training phase in such a way that signs of wear that occur, i.e. in particular anomalies and/or defects, of the door system and/or a subsystem of the door system are included in the measurement information from are recognizable by the artificial intelligence system.
  • signs of wear i.e. in particular anomalies and/or defects
  • this makes it possible for signs of wear to be reliably detected with the aid of pattern recognition carried out by the artificial intelligence system with regard to the measurement information determined during operation of the door system.
  • the training data include training measurement information relating to the door system and/or relating to a door device comprising the door system, and/or that the training data comprise 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 obtained in particular by measuring one or more measurement variables using corresponding measurement devices on the door system and/or the door device and/or one or more others Door systems and / or one or more other door devices determined. Additionally or alternatively, the training measurement information is determined in particular by determining one or more control variables using corresponding 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.
  • the training measurement information is partially or completely determined in a separate test phase of the door system and/or the door device and/or the one or more additional door systems and/or the one or more additional door devices. It is conceivable that the training measurement information is used partially or completely during operation or in use, in particular when determining the status of the door system and/or the door device and/or the one or more additional door systems and/or the one or more additional door devices be determined.
  • the training data include both model information and training measurement information.
  • the training data have normal operating data, the normal operating data relating in particular to a wear-free state of the door system, and that the training data have wear and tear operating data, the wear and tear operating data relating in particular to a state of wear of the door system and/or a state of wear of a subsystem of the door system. It is possible in a particularly advantageous manner for the artificial intelligence system to be trained in the at least one item of measurement information in order to identify signs of wear from one or more subsystems of the door system. It is thus possible for the artificial intelligence system, in particular in the status determination step, to assign a wear phenomenon determined in the at least one item of measurement information to a specific subsystem of the door system.
  • determining the status of the door system in particular in the status determination step, can preferably include determining and/or outputting the wear status of one or more subsystems of the door system.
  • the normal operating data is in particular model information and/or training measurement information. It is particularly preferred that the normal operating data contain at least model information include.
  • the wear and tear operating data is in particular model information and/or training measurement information. It is particularly preferred that the wear and tear operating data include at least model information.
  • the at least one item of measurement information includes an integral value. It is conceivable that the integral value is determined using numerical integration.
  • the measurement information is determined in the measurement step 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 area of an operating phase of the door system will.
  • An area integral is formed using numerical integration for the measured values determined during the operating phase or part of the operating phase.
  • the measurement information determined preferably includes the area integral determined in this way.
  • other static and/or numerical methods are also conceivable for determining the measurement information, for example a derivation, formation of an average value, formation of a variance and/or standard deviation.
  • the door system is a subsystem of a door device, the door system being in particular a drive unit of the door device or comprising a drive unit of the door device.
  • the door system includes or is an electric lock of a door device.
  • Other subsystems of a door device are also possible for the door system.
  • the door system is a complete door device.
  • a maintenance indication relating to the door system and/or relating to 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 performed.
  • the maintenance indication is in particular information that indicates whether maintenance of the door system is to be carried out and/or when maintenance of the door device and/or the door system is to be carried out.
  • the maintenance indication is preferably transmitted to a maintenance facility and/or made available to a maintenance person.
  • the at least one item of measurement information relates to and/or includes at least one position profile.
  • the at least one item of measurement information relates to or includes at least one speed profile.
  • the at least one item of measurement information relates to or includes at least one acceleration curve.
  • the at least one piece of measurement information includes acoustics, in particular structure-borne noise, a speed, position and/or acceleration of a moving part of the engine and/or the transmission.
  • acoustics in particular structure-borne noise
  • a speed, position and/or acceleration of a moving part of the engine and/or the transmission can be an angular velocity, angular position and/or angular acceleration of a rotor of a motor and/or a gear wheel of the transmission.
  • Such measurement information is particularly suitable for identifying wear and tear on the door system and/or the transmission.
  • the at least one item of measurement information relates to or includes at least one motor control profile, in particular a pulse width modulation.
  • the at least one item of measurement information relates to or include pulse width modulation of the motor of the drive unit, since this is particularly suitable for determining signs of wear.
  • the at least one item of measurement information relates to or includes at least one current curve, in particular a motor and/or total current.
  • the at least one item of measurement information relates to or include a motor current of the drive unit.
  • the motor current is particularly suitable for identifying wear and tear on the door system and/or a subsystem of the door system.
  • the at least one item of measurement information relates to or includes at least one voltage curve, in particular a power pack voltage and/or motor voltage.
  • the at least one item of measurement information relates to or include an actuating voltage of the motor of the drive unit, since this is particularly suitable for determining signs of wear.
  • the at least one item of measurement information relates to or includes at least one temperature profile, in particular a temperature of an environment, a motor, a power supply unit and/or one or more electrical components.
  • the at least one item of measurement information relates to or includes at least one vibration profile, in particular a structure-borne noise profile.
  • the measurement information determined in the measuring step to show an angular velocity profile of a transmission of the drive unit against time and/or against a position of a moving part of the motor or of the Transmission, in particular against an angle of a rotor of the motor and / or a gear wheel of the transmission, relate or include.
  • Signs of closure of the drive unit and/or a subsystem of the drive unit, for example the transmission or the engine, can be determined particularly advantageously with the aid of such measurement information.
  • the measurement information determined in the measuring step to show 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 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.
  • Clogging phenomena of the drive unit and / or a subsystem of The drive unit, for example the transmission or the motor can be determined in a particularly advantageous manner using such measurement information.
  • the measurement information determined in the measuring step to compare 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 of the Transmission, in particular against an angle of a rotor of the motor or a gear wheel of the transmission, relate or include.
  • This enables a particularly advantageous determination of signs of closure of the drive unit and/or a subsystem of the drive unit.
  • the measurement information determined in the measuring step is a 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 engine or the transmission, in particular against an angle of a rotor of the engine or a gear wheel of the transmission, relate or include.
  • This enables a particularly advantageous determination of signs of closure of the drive unit and/or a subsystem of the drive unit.
  • the parameters and/or variables that relate to the manufacturing state of the door system and/or the door device include or relate to at least a weight of the door system and/or the door device.
  • the parameters and/or variables that relate 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.
  • the parameters and/or variables that relate 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.
  • the parameters and/or variables that relate to the manufacturing state of the door system and/or the door device include or relate to a setting of the operating parameters of the door system and/or the door device.
  • the artificial intelligence system it is possible for the artificial intelligence system to have a machine learning system, a deep learning system, a neural network and/or pattern recognition.
  • the status determination device is preferably a computer-implemented status determination device.
  • the status determination device preferably includes means that are set up to execute a method for determining and/or checking a status of a door system according to an embodiment of the present invention. It is conceivable that the status determination device is designed partially or completely as part of the door device that has the door system. It is conceivable that the status determination device is designed partially or completely as part of the door system. It is alternatively or additionally conceivable that the status determination device is designed partially or completely externally from the door device. It is conceivable, for example, that the status determination device is designed using a cloud.
  • the status determination 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 with the aid of communication means.
  • the communication means are designed for wireless and/or wired transmission of information and/or signals.
  • the communication means include means for transmitting information and/or signals between the status determination device and the door device and/or between the status determination device and the door system and/or between the status determination device and the measuring device and/or between the status determination device and the control device.
  • the status determination device is preferably a device that provides an entry point to a core network, such as that of an enterprise or a service provider.
  • edge device is installed in close proximity to 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.
  • the edge device includes both the status determination device and the control device of the door system and/or the door device. In this case, it is particularly conceivable that no separate microcontroller door control is required, in particular in addition to the Edge device.
  • the Edge device is advantageously an extension for a door device.
  • the edge device is designed, for example, as a chip and/or stick, in particular 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 provided for processing comparatively large amounts of data.
  • the edge device and/or the control device is expanded 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 is replaced 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, is expanded.
  • an artificial intelligence hardware device typically has a large number of processor cores, preferably at least 16 processor cores, particularly preferably at least 100 processor cores.
  • the artificial intelligence hardware device is preferably set up in such a way that it can process a comparatively large number of parallel processes at a comparatively very high speed.
  • an edge device and/or a control device is expanded by one or more artificial intelligence hardware devices (or A.I. hardware), such as one or more chips and/or sticks specialized in parallel data processing.
  • artificial intelligence hardware devices or A.I. hardware
  • GPUs Graphics Processing Unit
  • TPUs Tinsor Processing Unit
  • a door system has one or more subsystems, each comprising 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 body sound signal of the door system and/or the door device and/or the subsystem, and can be assigned to the individual subsystems (or moving parts).
  • 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.
  • the following exemplary embodiments are conceivable:
  • Engine vibration is directly related to speed and can reach its maximum at certain speeds.
  • a pulse width modulation and/or a frequency of a pulse width modulation, in particular for driving a motor, is always constant and independent of the speed.
  • a defective ball bearing in a roller is linked to the speed of movement in terms of frequency.
  • 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 it is possible for 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 to be determined 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 piece of measurement information in the measurement step. It is conceivable in a particularly advantageous manner that speed-independent variables are calculated from speed-dependent structure-borne noise levels, which variables can be used for the overall classification of a possible defect or wear and tear during a complete driving cycle.
  • the system includes a status determination device according to an embodiment of the present invention and the door system and/or the door device.
  • the system preferably includes means that are set up to execute a method for determining and/or checking a status of a door system according to an embodiment of the present invention.
  • 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 has a digital twin for the door system and/or the door device.
  • the system comprises a measuring device and/or a control device, wherein the measuring device is configured in such a way that the measuring device determines the at least one item of measurement information by measuring a measured variable of the door system, wherein the measuring device is configured in particular in such a way that the measuring device provides the at least one item of measurement information to the status determination device, and/or wherein the control device is configured in such a way that the control device determines the at least one item of measurement information by setting and/or determining an actuation variable of the door system, wherein the control device is configured in particular in such a way that the control device provides the at least one item of measurement information to the status determination device.
  • the measuring device and/or the control device are designed partially or completely as part of the door device and/or as part of the door system. It is conceivable that the measuring device and/or the control device are partially or completely external to the door system and/or the door device. The measuring device and/or the control device are at least assigned to the door system.
  • the measuring device and/or control device is preferably equipped with one or more sensors or measuring devices that are suitable for determining the measurement information.
  • the choice of the sensors and/or measuring devices used depends in particular on the measured variables and/or control variables considered with the aid of the measurement information.
  • the at least one measuring device and/or control device has at least one structure-borne noise sensor.
  • changes in shape as a result of wear for example abrasion, can be determined using structure-borne noise.
  • the structure-borne noise or its changes in different subsystems can be determined specifically for each subsystem, which enables a component-specific determination.
  • the at least one measuring device and/or control device has at least one acoustic sensor.
  • the at least one measuring device and/or control device has at least one electrical voltage sensor.
  • the at least one measuring device and/or control device has at least one electrical current sensor.
  • the at least one measuring device and/or control device has at least one temperature sensor. This allows increased friction in mechanical components and/or increased resistance in electrical components to be determined.
  • the at least one measuring device and/or control device has 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 a number of recorded images, in particular at least two recorded images, which were recorded at different points in time, in particular recorded after a specific time interval.
  • Such measurement information can in particular enable wear detection in larger components, in particular in components, for example in a gear wheel of a transmission, a rotor of the motor and/or a toothed belt, in particular of sliding door systems and/or revolving door systems. Because such components are usually larger, so that such a detection is possible.
  • the at least one measuring device and/or control device has at least one force sensor.
  • the at least one measuring device and/or control device has at least one strain sensor.
  • the at least one measuring device and/or control device has at least one displacement or distance measuring device.
  • the at least one item of measurement information includes acoustics, in particular structure-borne noise, a speed, position and/or acceleration of a moving part of the engine and/or the transmission.
  • acoustics in particular structure-borne noise
  • a speed, position and/or acceleration of a moving part of the engine and/or the transmission can be an angular velocity, angular position and/or angular acceleration of a rotor of a motor and/or a gear wheel of the transmission. Wear of the drive unit and/or the transmission can be determined particularly advantageously in this way.
  • a door system designed as a drive unit it is conceivable in a particularly advantageous manner for a door system designed as a drive unit to have at least one subsystem of the door system designed as a motor.
  • the at least one item of measurement information includes or relates to acoustics, in particular structure-borne noise, a control voltage, pulse width modulation and/or a motor current. In this way, a particularly advantageous determination of wear can be achieved.
  • the system it is conceivable for the system to be configured in such a way that the determination and/or checking of the status of the door system carried out in the status determination step can be used to predict how long the door system will continue to function without problems. This can be done, for example, by extrapolating the historical data into the future.
  • a particularly advantageous early detection of signs of wear and potential defects can be achieved, which enables improved planning of service calls and maintenance work.
  • a service call would be possible before an imminent failure of the door system.
  • a service person could bring the necessary spare parts for the door system or a special subsystem of the door system.
  • the system is particularly advantageously designed and/or trained in such a way that it automatically recognizes which parts of the door system show signs of wear and/or defects. In this way, multiple trips by service personnel to a door system that is in use can be avoided.
  • Another subject matter of the present invention is a computer program product, in particular for determining and/or checking a status of a door system, the computer program product comprising instructions which, when the computer program product is executed by a computer, in particular by a system according to an embodiment of the present invention and/or or by a status determination device according to an embodiment of the present invention, causing the computer to execute a method according to an embodiment of the present invention.
  • the computer may be a single computing device or may include multiple computing devices.
  • the plurality of computer devices can in particular be arranged at 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.
  • Another subject matter 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 this, a method according to an embodiment of the present invention.
  • the status determination device For the status determination device according to the invention, the system according to the invention, the computer program product according to the invention and the computer-readable storage medium according to the invention, the features, embodiments and advantages that have already been mentioned in connection with the method according to the invention for determining and/or checking a status of a door system or in connection with an embodiment of the method according to the invention have been described.
  • the features, embodiments and advantages that have already been described in connection with the status determination device according to the invention or in connection with an embodiment of the status determination device according to the invention can be used for the method according to the invention, the system according to the invention, the computer program product according to the invention and the computer-readable storage medium according to the invention.
  • the status determination device according to the invention can use the features, embodiments and advantages that have already been described in connection with the system according to the invention or in connection with an embodiment of the system according to the invention.
  • the system includes a door device 1 with at least one door system 10. It is conceivable that the door device 1 has additional door systems.
  • the door system 10 is preferably a drive unit of the door device 1. Alternatively it is possible, for example, for the door system 10 to be an electric lock of the door device 1 .
  • the door system 10 comprises a plurality of subsystems 11, 12, 13, which can also be understood as parts or groups of parts, with the help of 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 unit, an electronic controller, a motor, a transmission, a plate carriage, an energy store (in particular a spring), etc.
  • the door system 10 has a control device 50 or is connected to a control device 50 .
  • the control device 50 can also be understood as a subsystem of the door system 10 .
  • the control device 50 is set up in particular to control the door system 10 or a function of the door system 10 .
  • the control device 50 uses pulse width modulation to control a door system 10 designed as a drive unit.
  • the control device 50 outputs a control variable. It is conceivable that the control variable is specified and adjusted and/or measured or determined by the control device 50 .
  • the set and/or ascertained control variables can be understood as ascertained measurement information 102 of the control device 50 .
  • the door system 10 includes one or more measuring devices 40, 41, in particular sensors. It is alternatively conceivable that the measuring devices 40, 41 are designed partially or completely separately from the door system 10. Using the measuring devices 40, 41, one or more parameters of the door system 10 can be measured. Examples of such measuring devices 40, 41 are structure-borne noise sensors, acoustic sensors, voltage sensors, current sensors, temperature sensors, optical sensors, etc. By measuring measured variables, the measuring devices 40, 41 determine measurement information 100, 101 relating to the door system 10.
  • the control device 50 and/or the measuring devices 40, 41 are in communication with an edge device 60. It is conceivable that the edge device 60 is connected to the door system 10 and/or the door device 1 as a separate device.
  • the edge device 60 is only arranged in the vicinity of the door device 1 and/or the door system 10 . It is alternatively conceivable that the edge device 60 is installed together with the control device 50 .
  • the edge device 60 preferably comprises communication means, in particular wireless communication means, for communication with a local area network and/or a telecommunications network.
  • the edge device 60 includes a status determination device 30 that is set up to determine and/or check a status of the door system 10 .
  • the Status determination device 30 at least one item of measurement information 100, 101, 102 provided.
  • the status determination device 30 can also be embodied separately from the edge device 60 .
  • 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 Operating phase of the door device 1.
  • the system is set up in such a way that an acceptance test is carried out for the measurement information 100 , 101 , 102 using an acceptance criterion before the measurement information 100 , 101 , 102 is used further to determine the status of the door system 10 .
  • the measurement information 100, 101, 102 is used in particular as a function of the acceptance test using the acceptance criterion in a status determination step to determine and/or check the status of the door system 10 such that the measurement information 100, 101, 102 is only used in the status determination step to determine and/or Checking the status of the door system 10 can be used if they meet the acceptance criterion.
  • the status determination device 30 In order to determine and/or check the status of the door system, it is possible for the status determination device 30 to include a model 20, model information 200, an artificial intelligence system 31, and/or one or more wear threshold values 500.
  • a rolling system it is possible for a rolling system to be designed to determine and/or check the status of the door system 10 .
  • measured values relating to at least one measured variable and/or control values relating to at least one control variable are determined in an operating phase of the door system 10 or only in a sub-area 90 of the operating phase of the door system 10 .
  • At least one integral value is formed from the detected measured values and/or control values using numerical integration, which is also known as im Measurement step determined measurement information 100, 101, 102 can be understood.
  • the integral value formed is fed into a rolling system which contains integral values (or earlier measurement information) from previous recordings or measurement processes.
  • the estimated value of the mean value is determined and compared with a permissible and, in particular, definable limit range or threshold value. If the estimated value of the mean value is within the definable limit range 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 carried out below using a wear criterion.
  • a characteristic value of the current wear is preferably formed using the current database (ie in particular using the new integral value) and then compared with a specified wear limit value (or wear threshold value 500). If the characteristic value of the current wear exceeds the wear threshold value 500, then the door system 10 (for example a drive unit of a door device 1) is in a critical area and maintenance is requested.
  • the statistical uncertainty which is made up of the uncertainty of the measurement (ie in particular from the determination of the measured variable and/or control variable) and the specified wear threshold value 500, is taken into account in this check.
  • an aging factor or wear factor a prognosis can be made about the remaining period of use of the door system 10 .
  • This aging factor or wear factor preferably relates the current characteristic value of the wear to the characteristic value of a wear-free door system and the wear threshold value.
  • the algorithm is integrated using two routines, for example.
  • the measurement information that is to say in particular the integral values
  • the second routine includes the evaluation algorithm, ie in particular the acceptance step and/or the status determination step.
  • the usability of the estimated value of the new mean value is preferably first checked in an acceptance test using an acceptance criterion.
  • the characteristic value of the current wear is then determined and compared with the wear threshold value 500 . If wear is detected, a corresponding status is sent to the corresponding means of the door system and/or the status determination device and/or the edge device and maintenance is requested. Specific exemplary configurations of such an embodiment are using the 4 and the figure 5 shown.
  • status determination device 30 is configured in such a way that, using a model 20 and/or using model information 200, in particular one or more model curves, the Status of the door system 10 determined and / or checked.
  • 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.
  • characteristic features in the measurement information 100, 101, 102 can be assigned to certain changes and/or properties of the subsystems 40, 41, 42, for example signs of wear.
  • the status determination device 30 it is conceivable, for example, for the status determination device 30 to have an artificial intelligence system 31 that can be used to determine and/or check the status of the door system 10 .
  • a system according to an embodiment of the present invention is shown schematically.
  • the cloud 61 can be in communication with the edge device 60 via a telecommunications network and corresponding means of communication, for example.
  • 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 sent to the cloud 61 via suitable communication means, for example using the edge device 60 transmitted and made available to the status determination device 30 in this way.
  • the cloud 61 includes a data store 62 and/or is in communication with a data store 62 .
  • measurement information 100 , 101 , 102 of the door system 10 and/or training data for the artificial intelligence system 31 can be stored in the data memory 62 .
  • the training data preferably includes model information 200 determined and/or output using model 20 and/or training measurement information that is measured and/or determined on one or more other door systems 10', 10" and/or training measurement information that is determined on door system 10
  • the further door systems 10', 10" and/or the associated further door devices 1' preferably also have a communication connection with the cloud 61 and/or the data memory 62 for the transmission of such training measurement information. It is preferably possible for the other door systems 10', 10" to be of the same or similar construction as the door system 10.
  • Measurement information 100 , 101 relating to one or more measurement variables of the door system 10 is recorded with the aid of one or more measurement devices 40 , 41 .
  • a control device is used to determine measurement information 102 relating to one or more control variables of the door system 10 .
  • the measurement information 100, 101, 102 preferably relates to a portion 90 of an operating phase of the door system 10 or the entire operating phase. The determination of the measurement information 100, 101, 102 takes place in particular when the door device 1, which has the door system 10, is in operation.
  • the determined measurement information 100 , 101 , 102 is provided to a status determination device 30 .
  • An acceptance step is carried out for the measurement information 100, 101, 102, for example completely or partially using the door system 10, a measurement 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 will they are further used in a status determination step.
  • the status determination device 30 determines, for example, using a model 20 and/or using model information 200 (in particular model curves 300) and/or using an artificial intelligence system 31 (or an AI functionality) and/or using one or more wear threshold values 500 and/or wear criteria a status of the door system 10 depending on the measurement information 100, 101, 102. If no signs of wear are determined 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 determined, 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 wear (for example also a defect) was detected for.
  • Such wear information 400 can be made available to a service employee, for example, and/or used to plan future maintenance of the door system 10 and/or the door device 1 . This enables a particularly advantageous predictive maintenance.
  • FIG. 4 1 shows a schematic representation of a method for determining and/or checking a status of a door system 10, in particular a drive unit for a door device 1, according to an exemplary embodiment of the present invention. Both a measurement routine and an evaluation algorithm of the exemplary embodiment are shown here.
  • a control device or a control module 820 which is designed to control the firmware of the door system 10, sends an opening drive command step 800 to start an opening drive of the door device 1 to a drive module 830 of the door system 10.
  • the motor is activated via a controller by the opening drive command , which outputs a pulse width modulation, driven.
  • the measured values that are fed into the controller are preferably stored at this point in a transfer variable.
  • this transfer variable is transferred to the measurement routine 840, which when called decides on the relevance of the received data (step 803) and stores the measurement values (step 802). Should the measurement data have been recorded at a relevant point or a relevant partial area 90, then the current date is stored. This happens iteratively until enough data is available for an integral formation, which is then carried out in an integral formation step 804 .
  • the integral value obtained in the integral formation step 804 can also be understood as determined measurement information 100, 101, 102.
  • the integral value formed is then sent to the evaluation algorithm 850 in a sending step 805 .
  • the evaluation algorithm 850 is in particular part a status determination device 30.
  • An arithmetic mean calculation 806 takes place there.
  • the evaluation algorithm 850 carries out an acceptance test 807 in which it is checked whether the integral value obtained is within the permissible limits which are determined, for example, using one or more threshold values.
  • age-related changes in the expected value can be compensated for and/or scatter caused by external influences such as wind loads or manipulations can be filtered out.
  • a rolling system is preferably defined for the calculation of the test value of the acceptance test, which only considers measured values or integral values from a predefined number of last opening drives. Furthermore, in the rolling system, the oldest incremental value is preferably exchanged iteratively for the new one.
  • 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 not passed, the current measurement information 100, 101, 102 is preferably discarded. After a subsequent calculation of the standard deviation in a standard deviation formation step 808, which is used for determining a next test value, the significant measurement limit value is formed in a measurement limit value formation step 809.
  • a wear factor (or wear aging factor) in a wear factor generation step 810, which can be used for a prognosis
  • the significant measurement limit value is compared with a predefinable and/or selectable wear limit value (or wear threshold value 500).
  • the determined status is sent to the control module 820, for example (step 811). If wear and tear of the drive unit is detected, maintenance is requested. For example, maintenance is requested by a maintenance routine 860 in a maintenance step 812 .
  • An acceptance step is presented below.
  • An acceptance test carried out in the acceptance step can be used to filter out impermissible measurement information that would adversely affect the determination and/or checking of the status of the door system 10 .
  • a measurement is to be determined in a measuring step, for example during an opening run or a subregion 90 of an opening run Measurement information 100, 101, 102 replace old or earlier measurement information.
  • the estimated value of the deviation x pruef is calculated on the basis of the new measurement information 100, 101, 102 and it is then checked whether the estimated value of the deviation x pruef is within specified limit values (-c ⁇ x pruef ⁇ +c) or .
  • the "new" piece of measurement information 100, 101, 102 is accepted and otherwise rejected.
  • the current measurement curve is observed in a first step.
  • the data acquisition is started when a relevant sub-area 90 is reached, so that measured values are recorded and stored during this sub-area 90 .
  • the area integral is formed using numerical integration (for example using Simpson's formula) and the measurement information 100, 101, 102 is thus obtained.
  • the measurement data recorded is in particular a statistical normal distribution.
  • a probability of error a also referred to as the significance level, is defined. This describes the percentage probability of a wrong decision in the context of the statistical review.
  • the door system for example a drive
  • the estimated values of the mean and the standard deviation are determined from the underlying measurement information (or measured values).
  • the integral values x i of the respective measurement curves are added up and divided by the sample size k.
  • the new measurement information 100, 101, 102 (or the integral value x mess ) is included in the database, it is checked in the acceptance step whether the test value x check of the new estimated value of the mean value is within the critical limits or threshold values (- c filter ⁇ x check ⁇ + c filter ).
  • An embodiment is in the figure 5 shown. If the test value x test is in the range 710 ( ⁇ c filter ⁇ x test ⁇ +c filter ), the new measurement information 100, 101, 102 meets the acceptance criterion and is accepted. Otherwise, if the test value x test is in one of the ranges 700 and the acceptance criterion is not met, the measurement information 100, 101, 102 is discarded.
  • the check value x check can be formed using a difference between the new mean value x new and the old mean value x old . Normalization preferably takes place using the old standard deviation.
  • a wear status of the door system, in particular of the drive unit is determined in particular.
  • a current wear age can be determined and/or a prognosis for possible defects can be set up.
  • a wear threshold value or a wear limit value c* test is specified.
  • the wear threshold value or a wear limit value c* test can be based, for example, on empirical values or test measurements, can be determined using a model, and/or can be determined using an artificial intelligence system.
  • the wear limit value c* test is set up in particular in such a way that the door system 10 (in particular a drive of the Door device) is assumed to be defective when this wear limit value c* test is reached.
  • the current or new estimated value of the mean value x new (which is formed using the at least one newly determined piece of measurement information 100, 101, 102 and was determined, for example, using the previous exemplary embodiment) is calculated from the permissible wear limit value c * Test subtracted.
  • this difference is related to a critical limit b perm (taking into account the statistical uncertainty of the measurement).
  • test value c meas is within the critical limit range (b perm )
  • the drive can be regarded as defective with the required statistical probability and maintenance can be requested.
  • FIG. 6 A schematic representation of a method for generating a model 20 according to an embodiment of the present invention is shown.
  • a real door system 10 is analyzed for this.
  • a system influence determination step 600 the properties and parameters of the subsystems 11, 12, 13, 14, 15, 16, 17, 18, 19 are determined.
  • the relevant system influences are preferably filtered out in a system influence filtering step 601 .
  • a system component step 602 the door system 10 is broken down or subdivided into individual subsystems 11, 12, 13, 14, 15, 16, 17, 18, 19.
  • an interaction step 603 the Interactions between the individual subsystems 11, 12, 13, 14, 15, 16, 17, 18, 19 (or components) determined and / or described.
  • a check is carried out as to whether the model satisfies an accuracy criterion, that is to say in particular whether it has a desired degree of accuracy. If the desired accuracy is not achieved, all or some of the steps 600, 601, 602, 603, 604 are performed again, 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, 604 is ended. Decomposition and word modeling is performed.
  • the model 20 preferably has individual model blocks 71, 72, 73, 74, 75, 76, 77, 78, 79 for all relevant subsystems 11, 12, 13, 14, 15, 16, 17, 18, 19.
  • the model blocks 71, 72, 73, 74, 75, 76, 77, 78, 79 can also be understood as partial simulation models.
  • model 20 for a door system 10 designed as a drive unit.
  • the model 20 includes a first model block 71 for a power supply unit, a second model block 72 for an electronic controller, a third model block 73 for a motor, and a fourth model block 74 for a gear , a fifth model block 75 for a tab carriage and a sixth model block 76 for an energy store (in particular a spring).
  • model information 200 in particular a model curve 300 for an am Door system measurable measured variable and / or control variable generated.
  • model curve 300 individual effects, in particular wear and tear effects, of the subsystems of the door system 10 considered in the model blocks can be recognized and assigned to the subsystems. These relationships can be identified using the model 20 by varying the properties and parameters of the model blocks.
  • a sub-area 90 of an operating phase of the door system 10 can also be identified, in which certain signs of wear of the door system 10 or of subsystems of the door system 10 can be identified in measurement information.
  • the sub-area 90 can include a contiguous area or two or more separate and spaced areas of the operating phase.
  • the model curve 300 is, for example, an angular velocity w on the drive shaft of the transmission over time t during an opening run of the door device 1.
  • gear wear current gear play ⁇ initial gear play. Wear of the bearing of the plate carriage is noticeable, for example, by sagging of the curve during constant travel, in particular by a drop in the angular velocity with the loss of the acceleration components.
  • the nominal model curve 301 represents the angular velocity w of the drive shaft of a transmission of a door system 10 as a function of the time t for an opening process of the door device that the door system 10 includes.
  • the gearing is a subsystem 11, 12, 13 of the door system 10.
  • the nominal model curve 301 is the curve that is obtained without signs of wear on the door system 10, ie in particular when the door system 10 is in a normal state or in an initial good state.
  • deviations 302 of the door system 10 caused by production and/or tolerances are shown without wear. 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.
  • FIG. 3 is a schematic representation of the nominal model curve 301 of FIG 8 (without wear) in comparison to a model curve 303 subject to wear.
  • the sub-area 90 or the areas 91, 92, 93, 94 of the sub-area 90
  • the sub-area 90 or the areas 91, 92, 93, 94 of the sub-area 90
  • the sub-area 90 of the opening process of the door device 10 can be identified, in which there are wear effects of individual subsystems when measuring the angular velocity w of the input shaft of the gearbox.
  • a first, second, third and fourth area 91, 92, 93, 94 of the partial area 90 of the operating phase are shown.
  • the transmission wear can be determined and/or quantified, for example, via a difference D between a current value and a nominal or initial value.
  • vibrations can be seen with increasing gear play.
  • the increasing gear play is a wear effect of the gear, which can thus be detected in the first area 91 .
  • increased friction and increased wear of the transmission lead to a drop in the angular velocity after the end of the acceleration drive.
  • the third area 93 during constant travel, a drop in the angular velocity with increasing friction and increasing gear wear can also be seen.
  • vibrations around the nominal model curve 301 occur with increasing friction.
  • the model 20 can thus be used to determine a subarea 90, having one or more separate areas 91, 92, 93, 94, in which signs of wear can be determined by determining measurement information 100, 101, 102 of a door system 20 can be determined and can preferably be assigned to individual subsystems of the door system 10.
  • the 9 shows an embodiment of the present invention.
  • measured variables other than angular velocity w can be used to determine signs of wear and/or to determine partial area 90 .

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Power-Operated Mechanisms For Wings (AREA)
EP21180267.3A 2021-06-18 2021-06-18 Procédé de détermination et/ou de vérification de l'état d'un système de porte, dispositif de détermination de l'état, système, produit-programme informatique Pending EP4105425A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP21180267.3A EP4105425A1 (fr) 2021-06-18 2021-06-18 Procédé de détermination et/ou de vérification de l'état d'un système de porte, dispositif de détermination de l'état, système, produit-programme informatique

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP21180267.3A EP4105425A1 (fr) 2021-06-18 2021-06-18 Procédé de détermination et/ou de vérification de l'état d'un système de porte, dispositif de détermination de l'état, système, produit-programme informatique

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150137963A1 (en) * 2009-07-21 2015-05-21 Td Ip Holdco, Llc Door monitoring system
US20200270927A1 (en) * 2017-09-29 2020-08-27 Knorr-Bremse Gesellschaft Mit Beschränkter Haftung Method and device for detecting the wear state of a component of a door drive system of a rail vehicle
US20210046988A1 (en) * 2016-10-07 2021-02-18 Phillips Connect Technologies Llc Smart trailer system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150137963A1 (en) * 2009-07-21 2015-05-21 Td Ip Holdco, Llc Door monitoring system
US20210046988A1 (en) * 2016-10-07 2021-02-18 Phillips Connect Technologies Llc Smart trailer system
US20200270927A1 (en) * 2017-09-29 2020-08-27 Knorr-Bremse Gesellschaft Mit Beschränkter Haftung Method and device for detecting the wear state of a component of a door drive system of a rail vehicle

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