These days, sensors are employed in smart home solutions (IoT) for monitoring window positions/door positions. The information may be used for security applications or for supplying information to smart home solutions in order to detect states on the basis of the movement pattern of the window or the door. These states are reported to a control unit, which informs the user or another application about them. Accordingly, sensors (e.g., acceleration sensors, gyroscopes and/or magnetometers) are mounted on a window/door in order to detect such position states. The state is thereupon communicated via a wireless link to other applications. Most existing design approaches make use of an additional part, which is based on a reed switch that is placed statically on the window/door in order to detect the handle position as well as the locked/unlocked state. Our approach is a stand-alone sensor solution that needs no additional components to be installed on the window.
An object of this invention is to detect the present position of a window handle/door handle by sensing magnetic fields, without the use of additional parts such as reed switches, magnets or additional mechanical components.
The present invention relates to an apparatus for detecting the position of window handles or door handles based on the sensing of magnetic fields. The present invention likewise relates to an operating method for such an apparatus for detecting window-handle or door-handle positions.
An object of the present invention is to detect window-handle or door-handle positions by sensing magnetic fields. Accordingly, the changes in the magnetic field measured by the sensor signal are analyzed by an implemented algorithm. The change in the magnetic field is produced by the movement of ferromagnetic elements inside the window/door, which are parts of the locking/handle mechanism. These elements are typically part of the window/door, and do not have to be added explicitly in order for this invention to function.
With the recognition of the window-handle/door-handle position, several new applications may be realized:
More robust solutions for monitoring window-handle/door-handle states: By knowing the current handle position of windows and doors, the user is able to verify exact position states of window handles/door handles. That is, if a window is in the closed position, but the handle is not closed, the user will become aware that the window can be opened by the impact of wind or by somebody lingering outside. On the other hand, if the window is in the closed position and the handle is likewise in its closed position, the application is able to conclude that the window cannot be opened by “normal” external stimuli (not taking into account break-in attempts).
Advantages of the present invention may include, for example:
The present invention is realized as an apparatus (or part of an apparatus), which is mounted statically on the frame of a window/door or integrated into it, and includes the following components:
A sensor 10, which measures magnetic fields in various axes. A magnetometer sensor may be installed in a certain position 100, for example, at the bottom or top on the frame of the window/door. Changes in handle lever position 220 place sliding pins 210 of window locking mechanism 200 into certain positions.
The sensor may be aligned with the ferromagnetic parts of the inner sliding mechanism, which are controlled by the window handle/door handle. This makes it possible to detect the present state of the window handle/door handle, and thereby to warn the user if a window/door is closed but not locked.
A microcontroller unit 20, which is integrated together with the sensor. The controller communicates with the sensor in order to request measurements, and executes the software that contains the detection algorithms.
Algorithm 1—310, a part of software 300 which runs on the microcontroller, is used to “take fingerprints” of magnetometer-sensor measured values. The algorithm makes it possible to take “fingerprints” based on magnetic-sensor data and to store them. Furthermore, it permits the comparison of the current magnetic-sensor measured-value data with the stored fingerprints. The present measurement and a fingerprint are regarded as alike if their difference lies below a configurable threshold.
Algorithm 2—320, a part of software 300 which runs on the microcontroller, uses algorithm 1 to determine the present position of the window handle/door handle. The algorithm is able to determine various position states: “Handle for window/door locked in closed position;” “handle for window/door unlocked in open position;” “handle for window/door in tilt position” (and other states, if usable on a special window/door), based on the similarity of the present measurement with the stored fingerprints.
A wire-bound or wireless connectivity interface 400 (e.g., Bluetooth), which is used to transport the state of the window handle/door handle that was determined by the algorithm, to another application (actuator, access-control process, etc.).
While software 300 is running, magnetometer sensor 10 periodically provides measurements, and the algorithm conditions the signals by a filtering process in order to reduce noise or unwanted data values.
At the beginning, the application enables the user to record specific window handle/door handle states based on the measured magnetic field in each specific handle position. These values are then stored and used as fingerprints. As soon as fingerprints have been taken of all desired positions, the software starts the monitoring process, during which, in each iteration, the implemented algorithm evaluates the instantaneous sensor measurement and assesses whether or not it agrees with any of the recorded fingerprints. As a result, the software is able to detect and report the correct handle position.
In order to improve the result, the algorithm may automatically update the fingerprints, in the event magnetic distortions impair the system. This is carried out in an automatic calibration process that communicates with the algorithm.
Number | Date | Country | Kind |
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10 2015 207 040 | Apr 2015 | DE | national |
Filing Document | Filing Date | Country | Kind |
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PCT/EP2016/058117 | 4/13/2016 | WO | 00 |
Publishing Document | Publishing Date | Country | Kind |
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WO2016/166158 | 10/20/2016 | WO | A |
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20090102649 | Diener | Apr 2009 | A1 |
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20160040460 | Kasai | Feb 2016 | A1 |
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103732843 | Apr 2014 | CN |
202005000784 | May 2006 | DE |
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2004109236 | Dec 2004 | WO |
Entry |
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International Search Report dated Jul. 1, 2016, of the corresponding International Application PCT/EP2016/058117 filed Apr. 13, 2016. |
Number | Date | Country | |
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20180051479 A1 | Feb 2018 | US |