Dwelling automation system

Abstract

A residential automation system R is presented, comprising a presence sensor P for detecting presence data relating to a living being M, a brightness sensor H for detecting light intensity data, a time sensor T for detecting time data, in particular with regard to the time and the date, wherein the presence data, the light intensity data and the time data are stored in a data memory S of the residential automation system R, wherein the residential automation system R comprises a light control actuator whose states can be read out and controlled, as well as a readable and controllable blind control actuator.What is special about this is that the residential automation system R comprises an AI evaluation and control unit KI, which controls the light control actuator L and the blind control actuator J within the framework of an automatic control process on the basis of the presence data, light intensity data and time data evaluated by the AI ​​evaluation and control unit KI, whereby the AI ​​evaluation and control unit KI forms a neural network into which both the presence data, the light intensity data and the time data as well as the states of the readable and controllable light control actuator L and the readable and controllable blind control actuator J are input.

Description

[0001] The invention relates to a residential automation system comprising a presence sensor for detecting presence data relating to a living being, a brightness sensor for detecting light intensity data, and a time sensor for detecting time data, in particular relating to the time and date, wherein the presence data, the light intensity data and the time data are stored in a data memory of the residential automation system, wherein the residential automation system comprises a light control actuator whose states can be read out and controlled, as well as a blind control actuator that can be read out and controlled.

[0002] Systems for residential automation are known, for example, to record presence data by means of a presence sensor (e.g. a motion detector) or to record light intensity data by means of a twilight sensor in order to control a light control actuator so that a light is switched on when presence is detected and a certain lower brightness limit is reached.

[0003] Furthermore, so-called smart lights are known for implementing a home automation system. These, in conjunction with a motion detector and a time sensor for recording time data, allow the user to set different dimming states of a light depending on the time of motion. This allows the user to program scenes in an application, regularly on a device, so that, for example, the lighting is only switched on at the minimum light intensity when entering a hallway at night.

[0004] However, the problem with the aforementioned, previously known home automation systems is that they require individual, manual setting, programming, or configuration of specific scenes or logic. This can be very time-consuming given the large number of room-automated actions.

[0005] In addition, the seasonal change in light intensity (due to longer or shorter periods from sunrise to sunset) requires continuous changes to the scenes, which either results in a loss of precision in the programmed scene or in recurring additional effort on the part of the user.

[0006] Based on this discussed prior art, the invention is based on the object of creating a home automation system in which the user experiences an optimal degree of precision, in particular a reliable imitation quality, of the home automation and at the same time does not have to make any effort to program or configure the home automation and the home automation system continuously and adaptively adapts to the changing habits of the user.

[0007] This task is solved by a residential automation system, wherein the residential automation system comprises an AI evaluation and control unit which controls the lighting control actuator and the blind control actuator as part of an automatic control process on the basis of the presence data, light intensity data and time data evaluated by the AI ​​evaluation and control unit, wherein the AI ​​evaluation and control unit forms a neural network into which both the presence data, the light intensity data and the time data as well as the states of the readable and controllable lighting control actuator and the readable and controllable blind control actuator are input.

[0008] The core idea of ​​the invention is that the AI ​​evaluation and control unit forms a neural network into which both the data required for residential space automation and the control of the actuators are carried out by the AI ​​evaluation and control unit within the framework of an automatic control process.

[0009] This cleverly offers the pleasant advantage that neither the user needs to program scenes nor adjust the actuators as a result of changing usage behavior. Instead, the AI ​​evaluation and control unit learns from user behavior and maps this to the neural network.

[0010] For this purpose, the home automation system has a (central or decentralized) data storage unit in which presence data, light intensity data, and time data are stored, which are recorded by a presence sensor, a brightness sensor, or a time sensor, respectively. Furthermore, the home automation system includes a light control actuator whose states can be read and controlled, as well as a blind control actuator that can be read and controlled.

[0011] This allows, for example, certain scenes in the room to be automatically established, triggered, and continuously adjusted, as the following minimal example illustrates as a result of typical user behavior: When brightness is low, at a time (which varies depending on the season) after sunset, the blinds are lowered and the light in the room is switched on if a presence is detected. When brightness increases, at a time (which varies depending on the season) after sunrise, the blinds are raised. Such a scene does not need to be established in the residential automation system according to the invention, but is automatically established, triggered, and continuously adjusted by the AI ​​evaluation and control unit forming the neural network based on user behavior.This minimizes the effort required by the user for these three steps (establishment, triggering, and adjustment) – in contrast to previously known home automation systems, where only the triggering is usually automated. The invention thus substantially increases the attractiveness of home automation by reducing the effort and increasing precision.

[0012] The presence sensor for recording presence data detects, for example, the mere presence or the position of one or more people. In conjunction with the time sensor, this also extends to the time-dependent presence or position of one or more people, in the form of "person tracking," in order to learn and map the dynamics in the living space.

[0013] In a particularly preferred embodiment of the residential automation system according to the invention, it comprises a room temperature control actuator whose states can be read and controlled. Within the scope of the automatic control process, the AI ​​evaluation and control unit also controls based on the room temperature data evaluated by the AI ​​evaluation and control unit, which is fed into the neural network. Thus, the advantages of the invention are extended to temperature automation.

[0014] According to a preferred embodiment of the residential automation system according to the invention, the presence sensor for detecting presence data is designed as a radar sensor in an electrical / electronic installation device on a wall. This increases the precision of detection, particularly making it possible to detect the position of a living being within the room in order to utilize this in the formation of the neural network. This makes it possible, for example, to detect when a user is standing at a table next to a window and, due to high brightness, lowers the blinds to avoid being blinded. This further improves the precision of residential automation, as control is carried out location-dependently within the room.Particularly preferably, the electrical / electronic installation device is a blind switch / blind push-button, with the radar sensor aligned toward the entrance area of ​​the room, particularly the doorway. This allows the presence, which is essential for control, to be detected with particular precision – firstly, by aligning the radar sensor toward the entrance area and, secondly, by the blind switch / blind push-button, which is usually located opposite the entrance area (next to a window), so that the angle is particularly suitable for detection.

[0015] In a further embodiment of the residential automation system according to the invention, the presence sensor for detecting presence data is designed as a time-of-flight sensor in an electrical / electronic installation device on a wall. The electrical / electronic installation device is preferably a light switch / light push button, with the time-of-flight sensor being directed toward the entrance area of ​​the room, in particular a doorway. It is particularly advantageous if the light switch / light push button is arranged next to an entrance area of ​​a room, with the time-of-flight sensor emitting through a window element arranged in the rocker switch, in particular in the bevel of the rocker switch facing the entrance area.This enables particularly reliable recording of presence data, with the window element being arranged particularly unobtrusively in the bevel so as not to impair the overall aesthetic impression of the installation device.

[0016] In a further embodiment of the home automation system according to the invention, the neural network has access to a pre-trained data set containing presence data, light intensity data, and time data. This serves as a basis for accelerating the training process of the neural network and / or improving the starting conditions.

[0017] In a further embodiment of the residential automation system according to the invention, the AI ​​evaluation and control unit is implemented centrally in a building or decentrally on an external server.

[0018] According to a further embodiment of the home automation system according to the invention, the brightness sensor is designed as a universally usable outdoor unit. The term "universal" in the context of the invention means that the brightness sensor can be used for different, at least two, home automation systems.

[0019] According to a further embodiment of the residential automation system according to the invention, the states of a readable switching actuator that can be controlled by the AI ​​evaluation and control unit are also included in the neural network. Thus, the residential automation according to the invention can also be directed to switching electrical devices on and off, enabling particularly comprehensive residential automation. Within the scope of the invention, the term "living space" refers to a building or apartment that comprises at least one room, usually a plurality of rooms.

[0020] In the context of the invention, the term "automation" is understood not only as pure automation of processes, but as autonomous automation, whereby the AI ​​evaluation and control unit makes decisions independently without human intervention.

[0021] The invention is described below with reference to various exemplary embodiments and the accompanying figures. They show: Fig. 1: a schematic plan view of a residential automation system according to the invention and Fig. 2: a schematic plan view of another residential automation system according to the invention.

[0022] In the various figures, identical parts are always provided with the same reference symbols and are therefore usually named or mentioned only once.

[0023] Figure 1shows a schematic plan view of a residential automation system R according to the invention based on a room with an entrance area E having a door area D, a living being M, a table X and a window F.

[0024] The residential automation system R comprises a presence sensor P for detecting presence data relating to a living being M, a brightness sensor H for detecting light intensity data and a time sensor T for detecting time data, in particular relating to the time and date.

[0025] The presence data, the light intensity data and the time data are stored in a data memory S of the residential automation system R, wherein the residential automation system R comprises a light control actuator L whose states can be read out and controlled (for example for switching or dimming a light) as well as a blind control actuator J that can be read out and controlled.

[0026] A special feature of the residential automation system according to the invention is that it comprises an AI evaluation and control unit AI, which controls the lighting control actuator L and the blind control actuator J within the framework of an automatic control process based on the presence data, light intensity data, and time data evaluated by the AI ​​evaluation and control unit AI. The lighting control actuator L and the blind control actuator J are connected to the AI ​​evaluation and control unit AI either wired or wirelessly.

[0027] For this purpose, the AI ​​evaluation and control unit KI forms a neural network over the usage time, into which the presence data, the light intensity data and the time data as well as the states of the readable and controllable light control actuator L and the readable and controllable blind control actuator J are input. In addition, the illustrated embodiment has a room temperature control actuator RT whose states can be read out and controlled, wherein the AI ​​evaluation and control unit KI, as part of an automatic control process, also controls on the basis of the room temperature data evaluated by the AI ​​evaluation and control unit RT, and these are input into the neural network, so that the living space automation is also related to the room temperature control.

[0028] The presence sensor P for detecting presence data is embodied here as a radar sensor in an electrical / electronic installation device on a wall. The electrical / electronic installation device is a blind switch / blind push-button. The radar sensor is directed toward the entrance area E of the room, in particular the door area D, in order to improve the reliability of presence detection. Furthermore, such a radar sensor also allows the position of a living being M in the room to be determined, so that, for example, when a person is present at table X, specific lighting conditions (blinds and light) can be adjusted, for example to avoid glare if the brightness sensor H detects a corresponding brightness.

[0029] Figure 2shows a schematic plan view of a further residential space automation system R according to the invention, wherein the presence sensor P for detecting presence data is designed as a time-of-flight sensor in an electrical / electronic installation device on a wall, wherein the time-of-flight sensor is directed towards the entrance area E of the room, in particular a door area D. In terms of detection accuracy and design inconspicuousness, it is advantageous in the illustrated embodiment of the invention that the light switch / light button is arranged next to the entrance area E of the room, wherein the time-of-flight sensor emits through a window element arranged in the rocker switch W, in particular in the bevel A of the rocker switch W facing the entrance area E.

[0030] The invention is described using exemplary embodiments. Without departing from the scope of the applicable claims, numerous further possibilities for implementing it will become apparent to a person skilled in the art without the need for detailed explanation within the scope of these statements. List of reference symbols

[0031] ABevel DDoor area EEntrance area FWindow HBrightness sensor JJlinder control actuator KIKI evaluation and control unit LLight control actuator MLiving beings PPresence sensor RWiving space automation system RTRoom temperature control actuator SData storage TTime sensor WRocker switch XTable

Claims

1. A residential automation system (R) comprising a presence sensor (P) for detecting presence data relating to a living being (M), a brightness sensor (H) for detecting light intensity data, and a time sensor (T) for detecting time data, in particular regarding the time and date, wherein the presence data, the light intensity data, and the time data are stored in a data memory (S) of the residential automation system (R), wherein the residential automation system (R) comprises a light control actuator (L) whose states can be read out and controlled, and a blind control actuator (J) that can be read out and controlled, characterized in thatthe living space automation system (R) comprises a KI evaluation and control unit (KI) which controls the light control actuator (L) and the blind control actuator (J) as part of an automatic control process on the basis of the presence data, light intensity data and time data evaluated by the KI evaluation and control unit (KI), wherein the KI evaluation and control unit (KI) forms a neural network into which both the presence data, the light intensity data and the time data as well as the states of the readable and controllable light control actuator (L) and the readable and controllable blind control actuator (J) are input.

2. Residential automation system (R) according to claim 1, characterized in thatthe living space automation system (R) comprises a room temperature control actuator (RT) whose states can be read out and controlled, wherein the AI ​​evaluation and control unit (KI) also controls, as part of an automatic control process, on the basis of the room temperature data evaluated by the AI ​​evaluation and control unit (RT), and these are fed into the neural network.

3. Residential automation system (R) according to claim 1 or 2, characterized in that the presence sensor (P) for detecting presence data is designed as a radar sensor in an electrical / electronic installation device on a wall.

4. Residential automation system (R) according to claim 3, characterized in that the electrical / electronic installation device is a blind switch / blind button, whereby the radar sensor is directed towards the entrance area (E) of the room, in particular the door area (D).

5. Residential automation system (R) according to one of claims 1 to 3, characterized in that the presence sensor (P) for detecting presence data is designed as a time-of-flight sensor in an electrical / electronic installation device on a wall.

6. Residential automation system (R) according to claim 5, characterized in that the electrical / electronic installation device is a light switch / light push button, wherein the time-of-flight sensor is directed towards the entrance area (E) of the room, in particular a door area (D).

7. Residential automation system (R) according to claim 6, characterized in that the light switch / light button is arranged next to an entrance area of ​​a room, wherein the time-of-flight sensor emits through a window element arranged in the actuating rocker, in particular in the bevel (A) of the actuating rocker facing the entrance area (E).

8. Residential automation system (R) according to one of claims 1 to 7, characterized in that the AI ​​evaluation and control unit (AI) has access to a pre-trained data set concerning presence data, light intensity data and time data within the neural network.

9. Residential automation system (R) according to one of claims 1 to 8, characterized in that the AI ​​evaluation and control unit (AI) is implemented centrally in a building or decentralized on an external server.

10. Residential automation system (R) according to one of claims 1 to 9, characterized in that the brightness sensor (H) is designed as a universally usable external unit.

11. Residential automation system (R) according to one of claims 1 to 10, characterized in that The neural network can also process the states of a switching actuator that can be read out and controlled by the AI ​​evaluation and control unit (AI).

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