Temperature-Controlled Window with Peripheral Sensor Segmentation
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Solution Overview
Problem
Existing systems for regulating indoor climate in buildings are inefficient due to reliance on manual programming, incorrect temperature sensing, and failure to adapt to external weather conditions, leading to suboptimal energy consumption and comfort.
Innovation Solution
A method that uses a window with a line temperature sensor and GPS/directional modules to determine geographical position and compass direction, communicating with a central server for meteorological data to adjust energy supply parameters, optimizing energy use and light incidence based on external conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a temperature sensor is disposed at a single point on the window pane, then the system structure is simple, but the temperature measurement is inaccurate and does not represent true temperature changes in the window
Solution Approach 1:
The temperature sensor is divided into multiple sensing points arranged along the periphery of the window pane, specifically at the four corners and midpoints of edges. This segmentation allows measurement of temperature distribution across different locations, providing more accurate representation of true temperature changes in the window while maintaining manageable system complexity.
Solution Approach 2:
The temperature measurement transitions from a single-point measurement to a distributed multi-point measurement along the periphery of the window pane. By adding spatial distribution in multiple dimensions (corners and edge midpoints), the system captures temperature gradients and provides comprehensive temperature characterization without requiring complete coverage of the entire window surface.
2Loss of energy
If temperature control is performed without adapting to external weather conditions, then the control system is simple, but energy consumption is suboptimal
Solution Approach 1:
The system performs preliminary actions by determining geographical position and compass direction of the window, then proactively adjusting control parameters based on predicted solar irradiation patterns and external temperature conditions. This advance preparation allows the system to optimize energy consumption by pre-adjusting light transmittance and heating/cooling settings before extreme conditions occur, rather than reacting after energy has already been consumed.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring actual temperature, light levels, and energy consumption, then comparing these measurements with predicted values based on geographical position and weather data. This feedback loop enables dynamic adjustment of control parameters to minimize energy consumption while maintaining comfort, resolving the contradiction between simple control and energy efficiency.
3Measurement precision
If the temperature sensor is heated more quickly than the room, then the response time is fast, but the temperature control is inaccurate and activates too early or too late
Solution Approach 1:
The temperature sensing function is segmented into multiple sensors distributed along the window periphery rather than relying on a single sensor that may be thermally influenced by the window frame. This segmentation provides multiple independent measurements that can be averaged or weighted to compensate for local thermal effects, maintaining accurate temperature representation while preserving rapid response capability.
Solution Approach 2:
The system introduces an intermediary processing layer that receives temperature data from multiple peripheral sensors and combines this information with geographical position, compass direction, and external weather data to determine the true room temperature trend. This intermediary processing mediates between the fast-response peripheral sensors and the slower room temperature changes, preventing premature or delayed activation of temperature control.
4Adaptability or versatility
If manual programming is required for control parameters, then the system is easier to implement, but adaptability to external conditions is poor
Solution Approach 1:
The system performs self-service by automatically determining its geographical position and compass direction, then autonomously configuring control parameters based on this information and external weather data. This self-configuration eliminates the need for manual programming while achieving high adaptability to external conditions, as the system automatically adjusts to its specific location, orientation, and environmental context without requiring complex user setup procedures.
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
This approach provides accurate and adaptive control of indoor climate, reducing energy consumption by optimizing energy supply and light management, and eliminating the need for manual programming and external control units.
Implementation Method 1
at least one temperature sensor arranged at the periphery of the window pane
Data Source
AI summary
The invention concerns a window including a window pane with one or more glass panes, a window frame in which the window pane is provided, at least one temperature sensor arranged in or at the periphery of the window pane, and an electric circuit connected to the temperature sensor mounted on or in the window frame. The electric circuit is configured to be connected to an operation unit which is configured to regulate the incident light through the window pane. The invention furthermore concerns a method for controlling a window wherein the electric circuit controls the means configured to regulate the incident light through the window pane based on a set of parameters. The parameters are determined on the basis of the orientation and geographical position of the window whereby the supply of free energy is optimized and the amount of energy supplied from energy sources in the room is reduced. In an embodiment the window can be controlled by means of an application configured to run on a mobile communication unit.