Window Handle State Sensing via 3D Vibration and Weather Detection
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Solution Overview
Problem
Existing technologies fail to provide a reliable, fast, and precise method for detecting the state of a window handle, particularly in conditions like windy or rainy weather, which can lead to potential damage.
Innovation Solution
A window handle state detection device with a two- or three-dimensionally detecting acceleration sensor, an energy storage device, a radio transmitter, and an evaluation unit, including a neural network with a memory for probability-based state assignment, and a wind and/or rain sensor, to detect and visualize the handle's state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a simple motion sensor is used to detect door movement, then the device complexity is low, but the measurement precision of window handle state is insufficient
Solution Approach 1:
The patent replaces simple mechanical motion sensors with an acceleration sensor that detects mechanical vibrations and accelerations caused by window handle actuation. This substitution enables precise detection of window handle states (open, closed, tilted) by analyzing vibration patterns and acceleration profiles, thereby improving measurement precision while maintaining manageable device complexity through electronic sensing rather than complex mechanical mechanisms.
Solution Approach 2:
The patent utilizes changes in physical parameters (acceleration, vibration frequency, wind speed, rain intensity) detected by specialized sensors to determine window handle states. By monitoring multiple parameters simultaneously and analyzing their patterns, the system achieves high measurement precision in distinguishing between different window states without requiring complex mechanical detection mechanisms.
2Productivity
If advanced sensors and AI processing are used to achieve fast and precise detection, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent employs a neural network that has been pre-trained with reference measurement results from various window handle actuations and weather conditions. This preliminary training allows the AI unit to rapidly classify current sensor data against stored patterns, achieving fast detection speeds without requiring complex real-time processing algorithms. The pre-computed reference data enables quick comparison and state determination.
Solution Approach 2:
The neural network performs self-learning by continuously comparing new measurement results with stored reference patterns and improving its classification accuracy over time. This self-service capability allows the system to adapt to different window types and handling patterns without requiring manual reconfiguration or complex external programming, thereby achieving fast and accurate detection while keeping the device architecture relatively simple.
3Adaptability or versatility
If multiple sensors are integrated to detect both window state and weather conditions, then the versatility improves, but the device complexity increases
Solution Approach 1:
The patent integrates multiple sensors (acceleration sensor, wind sensor, rain sensor) into a single detection device that serves multiple functions: detecting window handle states, measuring wind conditions, and detecting rain. This multi-functional approach allows one device to replace several separate sensors, achieving high versatility while actually reducing overall system complexity through consolidation rather than multiplication of components.
Solution Approach 2:
The patent combines multiple sensing functions (motion detection, wind measurement, rain detection) and processing capabilities (AI unit, radio transmitter, energy storage) into a single integrated detection device. By merging these functions into one unified system rather than using separate devices, the patent achieves versatile detection capabilities while simplifying installation and data processing architecture.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables fast and precise detection of the window handle's state, including open, closed, or tilted positions, and warns against hazardous weather conditions, ensuring user awareness and preventing damage.
Implementation Method 1
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
Implementation Method 2
the evaluation unit also including a wind and/or rain sensor
Implementation Method 3
the evaluation unit also including a wind and/or rain sensor
Data Source
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AI summary
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.