Method for automatically opening a door, automatic door, corresponding computer program product

Abstract

The present invention relates to a method for automatically opening a door (10), an automatic door opening system, and a corresponding computer program. The method comprises monitoring a detection area (14) in front of the door (10) using a sensor device (20) to determine the movement data of at least one person (16). A control unit (22) decides, based on the determined movement data and classifying installation data of the door (10), whether the door (10) should be opened or remain open. The system is configured to take into account different installation situations of the door (10) in order to ensure optimal decision-making.

Description

[0001] The present invention relates to a method for automatically opening a door, an automatic door opening system for automatically opening an automatic door, and a corresponding automatic door. Furthermore, the invention relates to a corresponding computer program for such automatic door opening systems or automatic doors, and a computer-implemented method for processing motion data to decide on an opening operation of an automatic door. Finally, the invention relates to a method for transferring operating information from a base automatic door to another automatic door, and to a system for controlling access through automatic doors.

[0002] In the field of automatic doors, for example revolving doors or sliding doors, it is known that different sensor devices are used to detect human movements in the corresponding detection area in front of the door and then to automatically open the door or, for example, to keep it open or to suppress an otherwise occurring closing process.

[0003] The prior art also recognizes the problem that not every movement of a person should cause the door to open or remain open, but only those movements that are actually caused by a person intending to enter. A known problem is that cross traffic, i.e., people simply walking past the door, often leads to unwanted opening movements of the door.While more intelligent door systems can sometimes detect this incorrect door opening movement even after it has been initiated and close the door again if it is not yet fully open, such unwanted opening movements or doors being kept open for an undesirably long time generally lead to increased energy consumption, greater wear and tear on the door, and often also to energy loss from heated or cooled rooms, especially, for example, the interior of a building if it is an automatic exterior door.

[0004] One approach to operating automatic doors with fewer such false openings is disclosed in EP 4 095 341 B1, from which the present invention is based and whose content is incorporated into the present application as a reference. According to EP 4 095 341 B1, one approach is to analyze the observed persons or corresponding image data more precisely with regard to, for example, body posture, direction of gaze, or foot position, and to use this information to infer a desire to enter, i.e., to decide whether the automatic door should be opened or remain open, or not.

[0005] However, the known system can be further developed to optimize it for multiple automatic doors, and several doors that differ in their characteristics, such as the exact area of ​​application of the door, can be equipped with specific optimized systems.

[0006] Against this background, it is an object of the present invention to provide a method for automatically opening a door, as well as an automatic door opening system, an automatic door, a corresponding computer program, and a computer-implemented method for processing motion data to decide on an opening operation of an automatic door, thereby addressing at least one of the problems described above. In particular, it is an object to further reduce false openings by adapting the door control to the specific application of the door. Finally, it is an object of the invention to provide a method for transferring operating information from a basic automatic door to another automatic door, as well as a system for controlling access through automatic doors, thereby addressing at least one of the problems described above.In particular, one task is to equip automatic doors with such intelligent controls more quickly and with less effort that false openings are further reduced.

[0007] This problem is solved with respect to a method for automatically opening a door according to the features of the preamble of claim 1 by the features of the characterizing part of claim 1, with respect to an automatic door opening system according to the features of the preamble of claim 9 by the features of the characterizing part of claim 9, with respect to an automatic door by an automatic door having the features of claim 10, and with respect to a computer program product by the computer program product according to claim 11.Finally, the problem is solved with respect to a computer-implemented method for processing motion data to decide on an opening operation of an automatic door according to the features of the preamble of claim 12 by the features of the characterizing part of claim 12, with respect to a method for transferring operating information of an automatic base door to another automatic door by the method according to claim 14, and with respect to a system for controlling access through automatic doors by the system according to claim 15. Advantageous embodiments are the subject of the dependent claims and the following description.

[0008] The key insight here is that it's no longer just about analyzing and considering people's movement data, but rather enabling more precise and efficient door control by mapping the door's specific installation situation into installation data. This installation data is then also considered by the control unit when making decisions about opening the door. Furthermore, incorporating door installation data allows for the consideration of different installation situations and the corresponding adjustment of the door control system. A learning system can be implemented, which can record and update the installation situation during operation, as well as a system that benefits from previously learned doors.The installation data can be factory-prepared, for example, by a control unit learning different movement patterns suitable for the specific installation situation and the resulting decisions for opening operations. Alternatively, the experience gained from a previously installed door in the same or a similar installation situation can be used to intelligently equip the new door with this knowledge. The installation data provides a parameterization of the automatic door tailored to the specific installation situation, enabling it to adapt its decision-making regarding door opening operations to the movement patterns of people in that installation.

[0009] Specifically, according to a first independent aspect of the disclosure as set forth in claim 1, a method for automatically opening a door is proposed, which method comprises at least the following steps a) to c): a) Observing a detection area in front of the door with a sensor device to determine the movement data of at least one person. b) Using a control unit, and based on the previously determined movement data provided to the control unit, deciding whether the door should be opened or remain open. c) Performing an opening movement of the door if it is decided in step b) that the door should be opened, or maintaining an open position if it is decided in step b) that the door should remain open.

[0010] The proposed procedure is characterized in that the control unit in step b) makes the decision based on both the determined movement data and the installation data classifying the door's installation situation.

[0011] The installation data can include specific parameters and / or configurations that represent or describe the spatial arrangement and / or environmental conditions of the door. This can include information about the proximity to walls, corners, or passageways, the type of adjacent area (e.g., corridor, open space, passageway with obstacles to free movement of people), and, in particular, the typical movement patterns of people in the vicinity of the door.

[0012] Installation data can be static information that is defined once during the installation of the door, transmitted to the door once, or selected from a package of several data sets within the door, or dynamic data that can be continuously updated during the operation of the door to respond to changes in the environment or usage patterns.

[0013] The installation data can consist of a single data set or multiple (selectable) data sets containing a specific decision logic. This logic allows the control unit to decide whether to open or keep the door open based on the movement patterns it receives and which are currently being detected by the door. Alternatively, it can be an AI algorithm or an intelligent system that, based on the installation data, has been configured to intelligently recognize the most suitable movement patterns for the installation situation and thus control the opening processes in a targeted manner.

[0014] For example, the control unit can use the installation data to adjust the sensor sensitivity and / or the decision logic. For example, the sensor sensitivity can be reduced in a busy hallway to minimize false openings caused by cross traffic.

[0015] The installation data can therefore be used to identify specific movement patterns that indicate an actual intention to enter. This can also be done through machine learning, where the control unit learns from historical movement data which patterns should typically lead to a door opening.

[0016] In this context, reference should also be made to the aforementioned disclosure EP 4 095 341 B1, the content of which is incorporated into the present application by reference. This disclosure also describes improved door opening methods using specific recorded probability values ​​or adjustments of threshold values ​​by analyzing the provided image data, with the possibility, in principle, of using AI algorithms. In particular, it discloses a door operating system comprising a control unit and at least one sensor device, wherein the control unit is configured to receive and process observational image data in order to determine the probability that a person intends to pass through the door. This technique can also be used in the present invention to further improve the accuracy and efficiency of the door control.Reference should also be made to the applicant's Motion-IQ technology, which can also be applied to the subject matter of the present application.

[0017] Preferably, the control unit can be configured to receive and process observational image data. This can include the detection of individuals among other objects in the detection range, including the differentiation between individuals and non-individuals based on the shape of a detected object. The detection and analysis of individuals can be supported by artificial intelligence. This involves extracting posture and gaze direction information to determine the person's intention to pass through the door. Based on the extracted information (posture and gaze direction), a probability value can be calculated representing the likelihood that the person intends to pass through the door. The control unit can then decide whether to open the door by comparing this probability value with a predefined threshold.If the probability value is higher than the threshold, the door opens. The recognition and analysis of individuals, as well as the extraction of features, can be improved through machine learning. This can involve using training data to increase the accuracy of recognition and analysis.

[0018] In particular, the use of AI algorithms to analyze movement data and to adjust door control based on the determined probability values ​​can help to minimize false openings and optimize energy consumption.

[0019] In a dynamic environment, the installation data can be regularly checked and adjusted to ensure that the door control is optimally adapted to current conditions. This can be achieved through the integration of real-time data analytics and adaptive algorithms.

[0020] By taking the installation data into account, the door control can be designed more precisely and efficiently, which can lead to a reduction in false openings and lower energy consumption.

[0021] In principle, one or more sensors can be used as a sensor device, including radar sensors, lidar sensors, optical sensors or cameras, as well as ultrasonic sensors or infrared sensors, and combinations of the aforementioned sensors.

[0022] According to one embodiment of the method for automatically opening a door, the installation data is provided to be static in such a way that it is predetermined for the operation of the door.

[0023] Alternatively, the installation data can be dynamic enough to be adapted during door operation. In particular, the installation data can be checked and updated using movement patterns based on determined motion data.

[0024] Preferably, the control unit can be configured to take into account at least two different installation situations of the door, and furthermore, to take into account at least three different installation situations of the door.

[0025] According to a further embodiment of the method for automatically opening a door, the installation data can be selected for at least two, preferably at least three, installation situations of the door. In particular, the installation data can be initially set for operating the door.

[0026] The installation situations can preferably include the following: a specific installation situation in relation to an adjacent wall line and / or in relation to a neighboring wall line; and / or a specific installation situation in relation to a walkable area in the immediate vicinity of the door; and / or a specific installation situation in relation to a functionality of at least one room surrounding the door or of the building containing the door.

[0027] It may therefore be provided that the installation situations include the position of the door in relation to wall layouts in the vicinity of the door and / or that the installation situations include the position of the door in relation to walkable areas in the vicinity of the door.

[0028] According to a further embodiment of the method for automatically opening a door, a specific installation situation includes a corner installation. Preferably, the door is configured for operation near a corner or an adjacent passageway, with the door being located within 3 m, preferably 2 m, of the corner or passageway of the wall in which the door is installed. Thus, within a short distance of the door or the doorway opening accessible to people, there is a corner of the same wall or another possible passageway in the same wall. With such doors, specific movement patterns of people can occur, whereby the person's movements may initially appear as if they are walking towards the door, but in reality, they do not intend to pass through it, but rather to walk around the nearby corner or the adjacent passageway.Doors with such an installation situation can preferentially recognize or be taught certain movement patterns that characterize such "people who are walking towards the door but passing by the door" via parameterization using the installation data, so that fewer incorrect opening operations or a shorter period of incorrectly holding a door open result.

[0029] According to a further embodiment of the method for automatically opening a door, a specific installation situation includes a central installation situation. Preferably, the door is configured centrally in a wall for operation, wherein the door is installed in the wall without an adjacent corner or passageway within a distance of at least 2 m, preferably at least 3 m.

[0030] According to a further embodiment of the method for automatically opening a door, a specific installation situation includes a corridor installation. Preferably, the door is configured for operation in a corridor, with the door being installed in a side wall of the corridor and an opposite wall within 4 m, preferably 3 m. Thus, another wall is located within a short distance opposite the door, or rather, opposite the doorway that people can pass through. With such doors in a corridor situation, there can be a high volume of cross traffic relatively close to the door, even though the people in question do not intend to pass through it.Corresponding specific movement patterns of people, where the person's movements may initially suggest that they are walking towards the door, but actually do not intend to go through the door, but rather walk across it, can, as proposed, be known to the door via parameterization using the installation data, or be taught to the door via parameterization using the installation data, so that fewer incorrect opening operations or a shorter period of incorrectly holding a door open result.

[0031] According to a further embodiment of the method for automatically opening a door, a specific installation situation includes a pedestrian installation situation. Preferably, the door is configured for operation in a limited pedestrian area, particularly adjacent to a street, for example, on a sidewalk, wherein the door is installed in a wall with an opposite inaccessible area within 4 m, preferably 3 m. Thus, within a short distance opposite the door, or rather opposite the doorway accessible to people, there is a kind of obstacle that prevents people from walking along it. With such doors in a so-called pedestrian situation, there can be increased cross traffic relatively close to the door, without the people in question intending to pass through the door.Corresponding specific movement patterns of people, where the person's movements may initially suggest that they are walking towards the door, but actually do not intend to go through the door, but rather walk across it, can, as proposed, be known to the door via parameterization using the installation data, or be taught to the door via parameterization using the installation data, so that fewer incorrect opening operations or a shorter period of incorrectly holding a door open result.

[0032] According to a further embodiment of the method for automatically opening a door, a specific installation situation is provided for, comprising an application area installation situation. Preferably, the door is configured for operation by specific groups of people passing through it. For example, different specific movement patterns of people may be typical for automatic doors in a shopping center, an airport, or a hotel. These specific movement patterns can be learned via the installation data and made available to the door for decision-making. This can result in fewer false openings or shorter periods when a door is held open incorrectly. Another example of a corresponding application area is doors in buildings that contain facilities with children or...In young children, certain movement patterns specific to toddler movements are taken into account in decision-making to such an extent that, for example, doors are not opened.

[0033] According to a further embodiment of the method for automatically opening a door, the installation data is extracted from a base automatic door. In particular, older doors, or even doors still in operation, can serve as a kind of template, and the experience gained there regarding the specific installation situation can be transferred to the new or current automatic door in the form of parameterization within the installation data. This can be achieved by providing specific past training data, for example, from factory-trained or other doors currently in use, or virtually in real time by transferring installation data online, for example, via a cloud application, from a base door to the current one. The base door is a door with the same or at least a similar installation situation.Advantageously, only the base door can be equipped with such intelligence that it learns from the movement patterns recorded there and thus updates or improves the corresponding installation data, while the further doors, which in turn learn from the base door via the installation data provided, can then be designed more simply and, for example, do not have to be self-learning.

[0034] According to a further embodiment of the method for automatically opening a door, the installation data is provided as a data set for an algorithm or as the algorithm itself. Preferably, this may be an AI algorithm. Preferably, the algorithm, in particular the AI ​​algorithm, is configured to analyze the acquired motion data and, based on this analysis, determine a probability value representing the likelihood that the door should actually be opened or remain open. Preferably, the control unit includes a decision logic that initiates the opening movement of the door when the probability value exceeds a predefined threshold. Preferably, the result of whether the opening movement was correctly initiated or not is used to update the data set or algorithm, in particular the AI ​​algorithm.

[0035] In particular, when using an AI algorithm, historical movement data, either from other doors with similar or identical installation situations or from the same door, can be used as experience or training data for the algorithm in order to make a more precise decision about opening the automatic door.

[0036] According to a further embodiment of the method for automatically opening a door, the door is a building door, in particular an interior or exterior door, and / or a sliding door or a revolving door.

[0037] According to another independent aspect of the present disclosure, an automatic door opening system for automatically opening an automatic door is proposed, as set out in claim 9, which automatic door opening system comprises at least the following: a) a sensor device for detecting movement data of at least one person in a detection area in front of the automatic door; b) a control unit configured to decide, based on the previously detected movement data, whether the automatic door should be opened or remain open; c) a drive unit configured to perform an opening movement of the automatic door if the control unit decides that the automatic door should be opened.

[0038] The proposed automatic door opening system is characterized by the fact that the control unit is configured to make the decision based on both the determined movement data and the installation data classifying the installation situation of the automatic door.

[0039] The proposed automatic door opening system, as described above or in claim 9 or below, is in particular designed to carry out a proposed method for automatically opening a door, as described above or in one of claims 1 to 8 or below.

[0040] The proposed method for automatically opening a door, as described above or in one of claims 1 to 8 or below, is in particular designed to operate a proposed automatic door opening system as described above or in claim 9 below, or to operate a proposed automatic door as described in claim 10 or below.

[0041] Features described above or below, relating only to one type of subject matter of the invention, for example, only to a method for automatically opening a door, can be adapted and transferred to the other subject matter of the claim, such as the automatic door opening system, in a technically meaningful way, and form further embodiments as proposed. In particular, the proposed automatic door opening system or its components can be configured to perform the described process steps. Features can also be transferred in a technically meaningful way between the subordinate, independent process subjects or devices and systems, each forming independent embodiments.

[0042] According to a further independent aspect of the present disclosure, an automatic door is proposed as described in claim 10, which automatic door is characterized by a proposed automatic door opening system as described above or in claim 9 or below. In particular, the proposed automatic door may be a building door, especially an interior or exterior door. Furthermore, the proposed automatic door may be a sliding door or a revolving door.

[0043] The proposed automatic door, as described above or in claim 10 or below, is in particular designed to carry out a proposed method for automatically opening a door, as described above or in one of claims 1 to 8 or below.

[0044] According to another independent aspect of the present disclosure, a computer program product is proposed, as set forth in claim 11, which computer program product comprises commands that cause the proposed automatic door opening system, as described above or in claim 9 or below, or the proposed automatic door, as described above or in claim 10 or below, to execute the method steps of the proposed method for automatically opening a door, as described above or in any one of claims 1 to 8 or below.

[0045] According to another independent aspect of the present disclosure, as set forth in claim 12, a computer-implemented method for processing motion data to decide on an opening operation of an automatic door, in particular an automatic door of the proposed type as described above or in claim 10 or below, is proposed, which computer-implemented method comprises at least the following steps: Provide a trained algorithm configured to make a decision regarding the opening of an automatic door based on motion data. The trained algorithm is trained using historical motion data with known decisions regarding corresponding opening operations. Determine current motion data of at least one person using a sensor device by observing a detection area in front of the automatic door. Decide whether the automatic door should open or remain open by applying the trained algorithm to the previously determined current motion data.

[0046] The proposed computer-implemented method is characterized by the fact that the decision is made based on both the determined current movement data and on installation data classifying the installation situation of the automatic door.

[0047] The proposed computer-implemented method for processing motion data to decide on an opening process of an automatic door, as described above or in claim 12 or below, is particularly designed to operate a proposed automatic door opening system, as described above or in claim 9 or below, or to operate a proposed automatic door, as described above or in claim 10 or below.

[0048] The proposed automatic door opening system (as described above or in claim 9 or below) and the proposed automatic door (as described above or in claim 10 or below) are in particular designed to carry out the proposed computer-implemented method for processing motion data to decide on an opening operation of an automatic door, as described above or in claim 12 or below.

[0049] According to a further embodiment of the computer-implemented method, the trained algorithm is specifically trained for only one specific installation situation of the automatic door. Alternatively, the trained algorithm can be trained for several different specific installation situations of the automatic door.

[0050] Preferably, the specific installation situation of the automatic door can be selected when applying the computer-implemented method or can be detected automatically when carrying out the computer-implemented method.

[0051] According to another independent aspect of the present disclosure, a computer program product is proposed which comprises computer program product commands that cause the proposed automatic door opening system, as described above or in claim 9 or below, or the proposed automatic door, as described above or in claim 10 or below, to execute the method steps of the proposed computer-implemented method for processing motion data to decide on an opening operation of an automatic door, as described above or in one of claims 12 or 13 or below.

[0052] According to a further independent aspect of the present disclosure, as set forth in claim 14, a method for transferring operating information from an automatic base door to another automatic door, in particular to a proposed automatic door as described above or in claim 10 or below, is proposed, which method is characterized by at least the following steps: a) Extracting installation data from the automatic base door by extracting operating data specific to a given installation situation of the automatic base door. b) Transferring the extracted installation data of the automatic base door to a control unit of the other automatic door with at least a similar installation situation in order to optimize decision-making for the other automatic door.

[0053] The control unit of the additional automatic door is set up to make a decision based on both the movement data determined by the additional automatic door and the extracted installation data of the basic automatic door.

[0054] According to another independent aspect of the present disclosure, a system for controlling access by means of automatic doors is proposed, as set out in claim 15, wherein the at least two automatic doors comprise an automatic base door and at least one further automatic door, in particular an automatic door as proposed above or in claim 10 or below, and wherein as follows: The automatic base door is equipped with a sensor device for detecting movement data of at least one person and with a unit for extracting installation data by extracting operating data specific to an installation situation of the automatic base door; and the further automatic door is equipped with a sensor device for detecting movement data of at least one person and a control unit.

[0055] The system includes a means for transferring the extracted installation data of the automatic base door to the control unit of the additional automatic door, and the control unit of the additional automatic door is configured to make a decision on an opening process based on both the movement data determined by the additional automatic door and the extracted installation data of the automatic base door.

[0056] The proposed system for controlling access through automatic doors, as described above or in claim 15 or below, is in particular designed to carry out a proposed method for transferring operating information from one automatic base door to another automatic door, as described above or in claim 14 or below.

[0057] The proposed method for transferring operating information from an automatic base door to another automatic door, as described above or in claim 14 or below, is particularly designed to operate a proposed system for controlling access through automatic doors, as described above or in claim 15 or below.

[0058] According to another independent aspect of the present disclosure, a computer program product is proposed which includes computer program product commands that cause the proposed system for controlling access by automatic doors, as described above or in claim 15 or below, to execute the method steps of the proposed method for transferring operating information from one automatic base door to another automatic door, as described above or in claim 14 or below.

[0059] Further advantageous and preferred embodiments will become apparent from the following description with reference to the figures. The drawing, which merely depicts exemplary embodiments, shows: Fig. 1 A schematic top view of a proposed automatic door, in this case a revolving door, according to a central installation situation with illustrated persons and person movements in the detection area in front of the door; Fig. 2 A schematic top view of a proposed automatic door, in this case a revolving door, according to a corridor installation situation with illustrated persons and person movements in the detection area in front of the door; Fig. 3 A schematic top view of a proposed automatic door, in this case a revolving door, according to a corner installation situation with illustrated persons and person movements in the detection area in front of the door; Fig. 4 A schematic view of a proposed system for controlling access via automatic doors; Fig. 5 A flowchart of a proposed method for automatically opening a door; Fig.Figure 6 shows a flowchart of a proposed computer-implemented method for processing motion data to decide on an opening operation of an automatic door; and Figure 7 shows a flowchart of a proposed method for transferring operating information from one automatic base door to another automatic door.

[0060] Fig. 1 Figure 1 shows a schematic top view of a proposed automatic door 10, in this case a revolving door (rotating opening movement indicated by a dotted partial circle), according to a central installation situation. The door 10 is centrally installed in a wall 12 without an adjacent corner or nearby passageway, and also without an opposite wall. The door 10 is therefore, in principle, freely accessible, and the area in front of it is freely walkable. Within the detection area 14 in front of the automatic door 10, persons 16 and their movement paths 18 are illustrated with dashed arrows.

[0061] Door 10, or rather its corresponding automatic door opening system, has a sensor device 20 that detects the movement data of persons 16 within the detection area 14 and transmits this data to the control unit 22 of door 10. The control unit 22 analyzes the movement data, taking into account the installation data that classifies the automatic door 10 as a central door, and decides whether door 10 should be opened. This installation data includes the central position of the door in the wall 12, as well as a decision logic or intelligent algorithm that determines whether to open the door based on certain movement patterns of persons 16 in the specific installation situation. If the control unit 22 decides that door 10 should be opened, a drive unit (not shown) opens door 10 automatically.

[0062] Fig. 2 Figure 1 shows a schematic top view of another proposed automatic door 10, in this case again a revolving door, wherein door 10 differs from door 10 according to Fig. 1 The only difference lies in the installation situation, in that here in Fig. 2 A corridor installation situation exists. Door 10 is therefore installed in a side wall of a corridor, with the opposite wall 26 located within a distance of 4 m. Again, persons 16 and their movement paths 18 are shown in the detection area 14 in front of door 10. Due to the now differing installation data, the decision logic or the AI ​​algorithm used (or its configuration or data set) is different, so that specific movement patterns are reacted differently with regard to the decision-making process for opening the door than in the situation according to [reference to previous example]. Fig. 1 .

[0063] Fig. 3 Figure 1 shows a schematic top view of another proposed automatic door 10, in this case again a revolving door, wherein door 10 differs from door 10 according to Fig. 1 or Fig. 2 The only difference lies in the installation situation, in that here in Fig. 3 A corner installation situation exists. Door 10 is therefore located near a corner 28. Alternatively, it could also be a door located near an adjacent passageway. Corner 28 is located within 2 m of door 10 in the same wall 12. Persons 16 and their movement paths 18 in the detection area 14 in front of door 10 are illustrated again. Due to the now differing installation data, the decision logic or the AI ​​algorithm used (or its configuration or data set) is different, so that specific movement patterns are reacted differently with regard to the decision-making process for opening a door than in the situation according to the previous illustration. Fig. 1 or Fig. 2 As an example, let us refer to person 16 with a dotted movement path. Based on the recorded movement data and the initial movement appearing to be towards door 10, this person 16 would be described in the explanations according to... Fig. 1 or Fig. 2 possibly trigger an opening process of the respective door, while in the present case according to Fig. 3 However, due to the adjacent corner 28 and the associated possibility that person 16 might also want to walk past door 10 and corner 28, a longer waiting period was observed before attempting to open the door, and ultimately a decision was made against such an opening, as person 16's path of movement was indeed directed past corner 28. The provided installation data and the associated intelligence of door 10 according to Fig. 3 This prevents unnecessary opening processes.

[0064] Fig. 4 Figure 1 shows a schematic view of a proposed system for controlling access via automatic doors. The system comprises a first automatic door 11 in the form of a base door 11, with a sensor device 20 and a control unit 22. The control unit 22 is equipped with a communication interface 32 that can exchange data with external systems. The installation data 34, which in the case of the base door 11 is acquired due to its status as an intelligent door with a feedback function (via which feedback function the base door 11 uses to characterize its decisions regarding door openings as correct or incorrect based on the movements it detects and the people actually passing through), is stored in the control unit 22 and can be used to adjust the door control of the base door 11.This allows the experiences of the basic door 11, which are specific to its installation situation, to be gained and stored in order to improve future decision-making.

[0065] The in Fig. 4 The depicted and proposed system also includes another automatic door 10, which can also be a door 10 as already depicted and described above. The previously described installation data 34 can be extracted via the control unit 22 of the base door 11 or the communication interface 32 and also transferred to a control unit 22 of the aforementioned additional automatic door 10 with at least a similar installation situation, in order to optimize the decision-making process regarding the opening of this additional automatic door 10. Thus, the additional automatic door 10 can benefit from the experience gained by the base door 11.Advantageously, the additional automatic door 11 does not need to be designed to be as intelligent, and does not, for example, need to have an AI algorithm, like the basic door 11, which, so to speak, takes over the work of acquiring specific information for the specific installation situation.

[0066] Fig. 5 Figure 1 shows a flowchart of a proposed procedure for automatically opening a door. The procedure comprises the following steps: In step S1, a detection area in front of the door is monitored using a sensor device to detect the movement of at least one person. In step S2, a control unit decides, based on the previously detected movement data provided to the control unit and also based on installation data classifying the door's installation situation, whether the door should be opened or remain open. In step S3, the door is then opened, if applicable, or the open door is held open if it is decided in step b) that the door should be opened or remain open.

[0067] Fig. 6 Figure 1 shows a flowchart of a proposed computer-implemented method for processing motion data to decide on the opening of an automatic door. The method comprises the following steps: In step S1', a trained algorithm is deployed, configured to make a decision on the opening of an automatic door based on motion data. The trained algorithm is trained using historical motion data with known decisions from corresponding opening operations. Training can take place, for example, on the door at the factory under test conditions or in field trials, or a different door can be trained in operation. In step S2', current motion data of at least one person is determined using a sensor device by observing a detection area in front of the automatic door.In step S3', a decision is then made as to whether the automatic door should be opened or remain open by applying the trained algorithm to the previously determined current movement data, whereby this decision is made based on both the determined current movement data and on installation data classifying the installation situation of the automatic door.

[0068] Fig. 7 Figure 1 shows a flowchart of a proposed procedure for transferring operating information from one automatic base door to another automatic door. The procedure comprises the following steps: In step Si'", installation data from the automatic base door is extracted by extracting operating data specific to a given installation situation. Then, in step S2', the extracted installation data from the automatic base door is transferred to a control unit of the other automatic door with a similar installation situation to optimize decision-making. The control unit of the other automatic door is configured to make decisions based on both the movement data acquired by the other automatic door and the extracted installation data from the automatic base door.The parameterization of the second automatic door is achieved by transferring installation data from the first door. This allows the second automatic door to utilize the first door's experience, specific movement patterns, and resulting decision-making processes regarding door openings, thus optimizing the opening sequence. This is advantageous because multiple doors with identical or similar installation situations do not need to be re-learned or parameterized each time. A variety of different doors can be configured appropriately based on their specific installation situation, enabling them to respond optimally to specific movement patterns of people. Bezugszeichenliste

[0069] 10 Automatic door 11 Automatic base door 12 Wall 14 Detection range 16 Person 18 Motion path 20 Sensor device 22 Control unit 26 Opposite wall 28 Corner 32 Communication interface 34 Installation data

Claims

1. Method for automatically opening a door (10), comprising at least the following steps: a) monitoring a detection area (14) in front of the door (10) with a sensor device (20) for detecting movement data of at least one person (16); b) deciding, using a control unit (22), based on the previously detected movement data provided to the control unit (22), whether the door (10) should be opened or remain open; c) performing an opening movement of the door (10) if, in step b), it is decided that the door (10) should be opened; characterized by the fact that the control unit (22) in step b) makes the decision based on both the determined movement data and installation data (34) that classify the installation situation of the door (10).

2. Method according to claim 1, wherein the installation data (34) are static such that they are predetermined for the operation of the door (10).

3. Method according to claim 1, wherein the installation data (34) are dynamic such that they are adaptable during operation of the door (10); wherein, preferably, the installation data (34) are checked and can be updated or are updated using motion patterns based on determined motion data.

4. A method according to any of the preceding claims, wherein the installation data (34) are selectable with respect to at least two installation situations, preferably at least three installation situations, of the door (10), and preferably also initially adjustable for operating the door (10); wherein, preferably, the installation situations comprise: - a specific installation situation with respect to an adjacent wall profile and / or with respect to a neighboring wall profile; and / or - a specific installation situation with respect to a walkable area in the immediate vicinity of the door (10); and / or - a specific installation situation with respect to a functionality of at least one room surrounding the door (10) or of the building containing the door (10).

5. A method according to any one of the preceding claims, wherein a / the specific installation situation comprises / comprise the following: a corner installation situation; wherein, preferably, the door (10) is configured for operation near a corner (28) or an adjacent passage, the door (10) being arranged within 3 m, preferably 2 m, adjacent to the corner (28) or passage of a wall (12) in which the door (10) is installed; and / or a central installation situation; wherein, preferably, the door (10) is configured for operation centrally in a wall (12), the door (10) being installed in a wall (12) without an adjacent corner (28) and without an adjacent passage within at least 2 m, preferably at least 3 m; and / or a corridor installation situation; wherein, preferably, the door (10) is configured for operation in a corridor, wherein the door (10) is installed in a side wall of the corridor with an opposite wall (26) within 4 m, preferably 3 m;and / or - a pedestrian installation situation; wherein, preferably, the door (10) is configured for operation in a limited pedestrian area, in particular adjacent to a road, for example on a sidewalk, wherein the door (10) is installed in a wall (12) with an opposite non-walkable area within 4 m, preferably 3 m; and / or - an application area installation situation; wherein, preferably, the door (10) is configured for operation for certain specific groups of persons passing through it.

6. Method according to one of the preceding claims, wherein the installation data (34) have been or are extracted as extracted installation data (34) from an automatic base door (10).

7. A method according to any of the preceding claims, wherein the installation data (34) is available as a data set for an algorithm, in particular an AI algorithm, or as the algorithm, in particular an AI algorithm, itself; wherein, preferably, the algorithm, in particular the AI ​​algorithm, is configured to analyze the determined movement data and, based on this analysis, to determine a probability value representing the probability that the door (10) should actually be opened or remain open; wherein, preferably, the control unit (22) has a decision logic that initiates the opening movement of the door (10) when the probability value exceeds a predefined threshold; wherein, preferably, a result indicating whether the opening movement has been correctly initiated or not is used to update the data set or algorithm, in particular the AI ​​algorithm.

8. Method according to any of the preceding claims, wherein the door (10) is a building door, in particular an interior or exterior door, and / or a sliding door or a revolving door.

9. Automatic door opening system for automatically opening an automatic door (10), comprising at least: a) a sensor device (20) for detecting motion data of at least one person (16) in a detection area (14) in front of the automatic door (10); b) a control unit (22) configured to decide, based on the previously detected motion data, whether the automatic door (10) should be opened or remain open; c) a drive unit configured to perform an opening movement of the automatic door (10) if the control unit (22) decides that the automatic door (10) should be opened; characterized by the fact thatthe control unit (22) is configured to make the decision based on both the determined movement data and installation data (34) that classify the installation situation of the door (10).

10. Automatic door (10) characterized by an automatic door opening system according to claim 9; wherein, preferably, the door (10) is a building door, in particular an interior or exterior door, and / or a sliding door or a revolving door.

11. Computer program product comprising commands that cause the automatic door opening system according to claim 9 or the automatic door (10) according to claim 10 to perform the method steps according to any one of claims 1 to 8.

12. Computer-implemented method for processing motion data to decide on the opening of an automatic door (10), in particular according to claim 10, comprising at least the following steps: - providing a trained algorithm, which is configured to make a decision on the opening of an automatic door (10) based on motion data, wherein the trained algorithm is trained on historical motion data with known decisions of corresponding opening operations; - determining current motion data of at least one person (16) with a sensor device (20) by observing a detection area in front of the automatic door (10); - deciding whether the automatic door (10) should be opened or remain open by applying the trained algorithm to the previously determined current motion data; characterized by the fact thatthe decision is made based on both the determined current movement data and installation data (34) that classify the installation situation of the door (10).

13. Computer-implemented method according to claim 12, wherein the trained algorithm is specifically trained for only one specific installation situation of the automatic door (10); or wherein the trained algorithm is trained for several different specific installation situations of the automatic door (10); wherein, preferably, the specific installation situation of the automatic door (10) is selected when applying the computer-implemented method or is automatically detected when carrying out the computer-implemented method.

14. Method for transferring operating information from an automatic base door (11) to another automatic door (10), in particular according to claim 10, characterized byat least the following steps: a) Extracting installation data (34) of the automatic base door (11) by extracting specific operating data for an installation situation of the automatic base door (11); b) Transferring the extracted installation data (34) of the automatic base door (11) to a control unit (22) of the further automatic door (10) with at least a similar installation situation in order to optimize decision-making of the further automatic door (10); wherein the control unit (22) of the further automatic door (10) is configured to make the decision based on both motion data determined by the further automatic door (10) and on the extracted installation data (34) of the automatic base door (11).

15. System for controlling access by means of automatic doors, comprising at least two automatic doors, wherein the at least two automatic doors comprise an automatic base door (11) and at least one further automatic door (10), in particular according to claim 10, wherein: - the automatic base door (11) is equipped with a sensor device (20) for detecting movement data of at least one person (16) and with a unit for extracting installation data (34) by extracting specific operating data for an installation situation of the automatic base door (11); and - the further automatic door (10) is equipped with a sensor device (20) for detecting movement data of at least one person (16) and a control unit (22);wherein the system comprises a means for transferring the extracted installation data (34) of the automatic base door (11) to the control unit (22) of the further automatic door (10), and wherein the control unit (22) of the further automatic door (10) is configured to make a decision on an opening operation based on both the movement data determined by the further automatic door (10) and on the extracted installation data (34) of the automatic base door (11).

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