Wireless Sensor Unit for Thermal Insulation Quality Assessment
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Solution Overview
Problem
There is a need for an uncomplicated, ecologically reasonable, and economically viable method to determine the quality of thermal insulation in insulating glazing units in buildings, as replacing windows can significantly impact the CO2 footprint and energy efficiency, and existing solutions do not effectively monitor thermal insulation properties in real-time.
Innovation Solution
A system comprising a sensor unit with a computing unit, communication unit, and energy supply, which measures and wirelessly transmits thermal insulation properties such as thermal flow, temperature, pressure, and humidity, providing real-time data on the quality of the insulating glazing, using sensors arranged both within and outside the glazing units, and capable of energy harvesting for continuous operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If insulating glazing units are replaced frequently to maintain thermal insulation quality, then the thermal insulation performance is improved, but the CO2 footprint and ecological impact increase
Solution Approach 1:
The sensor system performs preliminary monitoring of thermal insulation properties before the glazing unit actually degrades beyond acceptable thresholds. By detecting early signs of degradation through continuous measurement of thermal flow, temperature, pressure, and humidity, the system enables proactive maintenance decisions that extend the service life of existing glazing units and avoid premature replacement, thereby reducing CO2 emissions associated with manufacturing and installation of new units
Solution Approach 2:
The system implements continuous feedback monitoring of thermal insulation properties through wireless transmission of measurement data. This real-time feedback loop allows building operators to track the degradation trajectory of insulating glazing, optimize replacement timing based on actual performance data rather than fixed schedules, and make informed decisions that balance thermal performance requirements with ecological sustainability by minimizing unnecessary replacements
2Measurement precision
If sensor systems are installed to monitor thermal insulation properties in real-time, then the measurement precision and reliability are improved, but the device complexity increases
Solution Approach 1:
The sensor unit is designed as a multi-functional integrated system that simultaneously measures multiple parameters (thermal flow, temperature, pressure, humidity) relevant to thermal insulation performance. This universal sensor design consolidates what would otherwise require multiple separate measurement devices, reducing overall system complexity while maintaining comprehensive monitoring capabilities and high measurement precision across all critical parameters
Solution Approach 2:
The sensor system incorporates autonomous energy harvesting capabilities and self-powered operation, eliminating the need for external power supply infrastructure. The sensor unit autonomously performs measurements, processes data locally through its computing unit, and wirelessly transmits results, thereby simplifying installation and reducing system complexity while maintaining high measurement precision through continuous autonomous operation
3Loss of information
If comprehensive sensor systems with multiple measurement parameters are deployed, then the information quality and decision-making capability are improved, but the energy consumption and cost increase
Solution Approach 1:
The sensor system maintains continuous monitoring of thermal insulation properties without interruption, ensuring that high-quality information is always available for decision-making. This continuous operation is enabled by autonomous energy harvesting that sustains uninterrupted measurement and data transmission cycles, providing consistent information quality while managing energy consumption through optimized measurement intervals and wireless communication protocols that balance data freshness with energy efficiency
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 immediate and accurate assessment of thermal insulation quality, reducing the need for frequent replacements, minimizing CO2 footprint, and providing users with actionable insights for energy efficiency and cost savings through remote data evaluation and user-friendly interfaces.
Implementation Method 1
the measurement value indicating a physical property, in particular the thermal flow, of the insulating glazing
Implementation Method 2
a communication unit for the wireless exchange of data
Implementation Method 3
capable of energy harvesting for continuous operation
Data Source
AI summary
A system for determining a quality of the thermal insulation of an insulating glazing in a building having an insulating glazing, the system including a sensor system having at least one sensor unit, wherein the sensor unit is provided for measuring at least one measurement value and the sensor system is provided for detecting a time profile of the thermal insulation properties of the insulating glazing, and a system for forwarding data generated by the sensor system to a terminal, and wherein the sensor unit has a computing unit for generating data, a communication unit for the wireless exchange of data, and an energy supply unit; and the measurement value indicates a physical property, in particular the thermal flow, of the insulating glazing.