Window handle state detection device, assembly and method comprising same

Abstract

A window handle state detection device X for attachment to a window sash F of a window having a window handle G is presented, comprising an energy storage device, a radio transmitter and an evaluation unit.What is particularly special about this is that the evaluation unit of the window handle state detection device X comprises a three-dimensionally detecting acceleration sensor which detects the time-dependent mechanical vibration or acceleration caused by the actuation of the window handle G and movement of the window sash F as a measurement result, wherein the window handle state detection device X assigns the measurement result to a state A, B, C of the window handle, in particular via an AI unit, on a probability basis via a neural network having a memory in which a multitude of reference measurement results caused by actuation of the window handle G and movement of the window sash F are stored, and wherein the evaluation unit also includes a wind and / or rain sensor.

Description

[0001] The invention relates to a window handle state detection device for attachment to a window sash of a window having a window handle for detecting the state of the window handle, comprising an energy storage device, a radio transmitter and an evaluation unit.

[0002] Furthermore, the invention relates to an arrangement comprising a window with a window sash and a window handle, wherein such a window handle state detection device is arranged on the window sash.

[0003] The invention is also directed to a method for detecting and visualizing the state of a window handle of a window having a window sash using such an arrangement.

[0004] Detecting the open / closed status of a window with a handle and sash offers numerous advantages. These include the detection of an open window in windy and / or rainy weather, thus preventing potential damage to the window and / or the floor or wall covering of the room.

[0005] German patent application DE 20 2009 010 418 U1 discloses a door with a one- or two-dimensional acceleration sensor arranged on the door leaf, which makes it possible to detect a break-in. Detection of the door handle's state is not possible.

[0006] EP 3 097 547 A1 discloses a method and a device for detecting unauthorized entry at a door, such as a front door, garage door, or apartment door. For this purpose, a motion sensor detects movement of the door, and the movement is evaluated based on parameters, thereby distinguishing between unauthorized and authorized entry. Furthermore, the method verifies whether a detected unauthorized entry was successful by determining the door's opening angle using an angle-measuring sensor and determining whether the door has been opened or is still within a tolerance range for a closed door. Detection of the door handle's position is not possible.

[0007] Based on this discussed prior art, the invention therefore aims to create an easy-to-retrofit window handle condition detection device for attachment to a window sash having a window handle, for detecting the condition of the window handle, enabling the reliable, fast and precise detection and visualization of the condition of the window handle and also the detection of weather conditions dangerous for the building of the window handle.

[0008] This problem is solved by a window handle state detection device for mounting on a window sash having a window handle, for detecting the state of the window handle, comprising an energy storage device, a radio transmitter, and an evaluation unit, wherein the evaluation unit of the window handle state detection device comprises a two- or three-dimensionally detecting acceleration sensor that detects the time-dependent mechanical vibration or acceleration caused by the actuation of the window handle and movement of the window sash as a measurement result, wherein the window handle state detection device transmits the measurement result via a neural network having a memory in which a plurality of reference measurement results caused by actuation of the window handle and movement of the window sash are stored, to a state of the window handle, in particular via an AI unit,assigns based on probability, with the evaluation unit also including a wind and / or rain sensor.

[0009] The core concept of the invention is that the evaluation unit of the window handle state detection device comprises a two- or three-dimensionally detecting acceleration sensor, which detects the time-dependent mechanical vibration or acceleration caused by the operation of the window handle and movement of the window sash as a measurement result. This makes it possible, in particular, to detect the states of the window handle "open", "closed", and "tilted".

[0010] The core idea of ​​the invention, on the other hand, is that the window handle state detection device assigns the measurement result to a state of the window handle, in particular via an AI unit, on a probability basis via a neural network with a memory in which a multitude of reference measurement results caused by actuation of the window handle and movement of the window sash are stored. This enables a particularly fast and, above all, precise assignment of the measurement result to a state of the window handle.

[0011] A particularly advantageous aspect is that the evaluation unit according to the invention also includes a wind and / or rain sensor. The wind and / or rain can preferably also be detected via the two- or three-dimensionally detecting acceleration sensor. This makes it possible to detect the state of the window handle, which corresponds, for example, to an open or tilted window, and also to visualize a wind and / or rain message as a warning.

[0012] According to a preferred embodiment of the window handle state detection device according to the invention, the state of the window handle includes "open", "closed", and "tilted". This allows a detailed description of the window handle's state, so that the user can access the window handle's state as precisely as possible via the radio transmitter, for example, via an end device.

[0013] In a further development of the window handle state detection device according to the invention, the neural network is designed to be self-learning, in that the reference measurement results are replaced by self-detected measurement results and the assignment of the measurement result to a state. This allows individual measurement results to be used instead of the reference measurement results, thus increasing the precision of the detection of the window handle state – in particular, changes over the window's lifetime are also captured.

[0014] According to a preferred embodiment of the window handle state detection device according to the invention, the window handle state detection device is connected via the radio transmitter to an end device, in particular a mobile end device, and displays the state of the window handle there.

[0015] According to a preferred embodiment of the window handle status detection device, the measurement result is additionally assigned to a state of the window, in particular "closed", "ajar", "tilted open", or "closed but not locked". This allows the state of the window to be determined precisely and reliably.

[0016] The invention further relates to an arrangement comprising a window with a window sash and a window handle, wherein the window handle state detection device according to the invention is mounted on the window sash. The window handle state detection device can, for example, be glued or screwed onto the window sash, making retrofitting the window handle state detection device particularly easy, especially without affecting the window handle and its feel and / or appearance.

[0017] Furthermore, the invention relates to a method for detecting and visualizing the state of a window handle of a window having a window sash, using the arrangement according to the invention, comprising the steps: i) Detection of the time-dependent mechanical vibration or acceleration caused by the operation of the window handle and movement of the window sash as a measurement result using the two- or three-dimensional detecting accelerometer, ii) Probability-based assignment of the state of the window handle, in particular via an AI unit, via a neural network with a memory in which a large number of reference measurement results caused by the operation of the window handle and movement of the window sash are stored, iii) Visualization of the state of the window handle, iv) Evaluation and visualization of the current weather conditions with regard to wind and / or rain by the wind and / or rain sensor.

[0018] The status of the window handle can be visualized on a terminal device.

[0019] The invention is described below with reference to the accompanying figures and various exemplary embodiments. The figures show: Fig. 1: a schematic perspective view of an arrangement according to the invention, for three different states of the window handle, Fig. 2: a schematic representation of the mechanical vibration or acceleration as a time-dependent measurement result caused by the operation of the window handle and movement of the window sash in three spatial directions, and Fig. 3: a schematic representation of the method according to the invention.

[0020] In the various figures, identical parts are always marked with the same reference symbols and are therefore usually only named or mentioned once.

[0021] Figure 1Figure 1 shows a schematic perspective view of an arrangement according to the invention, for three different states A, B, C of the window handle G (left: closed, right: open, center: tilted). The window handle state detection device X according to the invention is arranged on a window sash F with a window handle G. The window handle state detection device X comprises an energy storage device (in particular a battery), a radio transmitter, and an evaluation unit. The evaluation unit of the window handle state detection device X comprises a three-dimensionally detecting acceleration sensor that detects in three orthogonal spatial directions 1, 2, 3. The time-dependent mechanical vibration or acceleration caused by the actuation of the window handle G and movement of the window sash F is detected as the measurement result.

[0022] Such a recorded measurement result is valid for the three orthogonal spatial directions 1, 2, 3 in Figure 2The visualization shows that the three measurement curves differ in their shape. The invention cleverly utilizes the fact that the measurement result is assigned, via a neural network with a memory containing a multitude of reference measurement results caused by actuation of the window handle G and movement of the window sash F, to a state A, B, C of the window handle, particularly via an AI unit, in a probability-based manner. Such an assignment is preferably made possible with particular precision and speed by the AI ​​unit, since manual algorithms for fitting the measurement results are not sufficiently stable, precise, and fast, especially because the actuation of the window handle G is different each time.In addition, the evaluation unit, via its wind and / or rain sensor, allows potential hazard situations for the building of the window handle to be detected in addition to the window handle status, for example a window handle status corresponding to an open window and a strong wind.

[0023] Figure 3 Figure 1 shows a schematic representation of the inventive method for detecting and visualizing the state A, B, C of a window handle G of a window having a window sash F, based on the inventive arrangement comprising the steps: i) Detection of the time-dependent mechanical vibration or acceleration caused by the operation of the window handle G and movement of the window sash F as a measurement result using the two- or three-dimensionally detecting accelerometer; ii) Probability-based assignment of the state A, B, C of the window handle G, in particular via an AI unit, via a neural network with a memory in which a multitude of reference measurement results caused by the operation of the window handle G and movement of the window sash F are stored; iii) Visualization of the state A, B, C of the window handle G; iv) Evaluation and visualization of the current weather conditions with regard to wind and / or rain by the wind and / or rain sensor.

[0024] The invention is described with reference to exemplary embodiments. Without departing from the scope of the applicable claims, numerous further possibilities for its implementation would arise for a person skilled in the art, without the need to explain these in detail within the scope of these explanations. Reference symbol list

[0025] 1, 2, 3 Room direction A, B, C Condition F Window sash G Window handle KIKI unit X Window handle condition detection device

Claims

1. Window handle state detection device (X) for attachment to a window sash (F) of a window having a window handle (G) for detecting the state of the window handle (G) comprising an energy storage device, a radio transmitter and an evaluation unit, characterized by the fact thatThe evaluation unit of the window handle state detection device (X) comprises a two- or three-dimensionally detecting acceleration sensor which detects the time-dependent mechanical vibration or acceleration caused by the actuation of the window handle (G) and movement of the window sash (F) as a measurement result, wherein the window handle state detection device (X) assigns the measurement result to a state (A, B, C) of the window handle (G), in particular via an AI unit (AI), on a probability basis via a neural network having a memory in which a plurality of reference measurement results caused by actuation of the window handle (G) and movement of the window sash (F) are stored, and wherein the evaluation unit also comprises a wind and / or rain sensor.

2. Window handle status detection device (X) according to claim 1, characterized by the fact thatThe state (A, B, C) of the window handle (G) includes "open", "closed" and "tilted".

3. Window handle status detection device (X) according to claim 1 or 2, characterized by the fact that The neural network is designed to be self-learning by replacing the reference measurement results with self-detected measurement results and assigning the measurement result to a state (A, B, C).

4. Window handle status detection device (X) according to one of claims 1 to 3, characterized by the fact that the window handle status detection device (X) is connected via the radio transmitter to an end device, in particular a mobile end device, and displays the status (A, B, C) of the window handle (G) and the wind and / or rain sensor there.

5. Window handle status detection device (X) according to one of claims 1 to 4, characterized by the fact thatThe window handle status detection device (X) additionally assigns the measurement result to a state of the window, in particular "closed" or "leaning" or "tilted open" or "closed and not closed".

6. Arrangement comprising a window with a window sash (F) and a window handle (G), wherein the window handle status detection device (X) according to one of claims 1 to 5 is mounted on the window sash (F).

7. A method for detecting and visualizing the state (A, B, C) of a window handle (G) of a window having a window sash (F) using the arrangement according to claim 6, comprising the steps: i) detection of the time-dependent mechanical vibration or acceleration caused by the actuation of the window handle (G) and movement of the window sash (F) as a measurement result using the two- or three-dimensionally detecting accelerometer, ii) probability-based assignment of the state (A, B, C) of the window handle (G), in particular via a computer unit (CI), via a neural network having a memory in which a plurality of reference measurement results caused by actuation of the window handle (G) and movement of the window sash (F) are stored, iii) visualization of the state (A, B, C) of the window handle (G).iv) Evaluation and visualization of current weather conditions with regard to wind and / or rain by the wind and / or rain sensor.

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