System, method, and device for preventing or mitigating condensation
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Solution Overview
Problem
Existing solutions fail to adequately anticipate and prevent condensation on mirrors and glass surfaces, such as bathroom mirrors, as they are not automated and often do not trigger in time to prevent fogging, leading to prolonged periods of reduced functionality.
Innovation Solution
A system comprising a condensation mitigation device, surface temperature sensor, ambient temperature sensor, and humidity sensor, connected to a processor that calculates dewpoint temperatures and activates the mitigation device based on linear regression analysis to prevent condensation, ensuring timely intervention before fogging occurs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated condensation prevention systems are implemented, then condensation can be prevented in time, but device complexity increases
Solution Approach 1:
The system performs preliminary action by calculating dewpoint temperatures repeatedly over time and using linear regression to predict future dewpoint trends before condensation actually forms. The processor activates the mitigation device in advance based on projected dewpoint values, preventing condensation rather than reacting to it after occurrence.
Solution Approach 2:
The system implements feedback by continuously monitoring surface temperature, ambient temperature, and humidity, then using this data to recalculate dewpoint temperatures and adjust mitigation device operation accordingly. The linear regression analysis provides predictive feedback about future condensation risk based on historical sensor data.
2Loss of time
If continuous monitoring and prediction calculations are performed, then condensation can be anticipated earlier, but energy consumption increases
Solution Approach 1:
The system performs periodic action by repeating dewpoint temperature calculations at scheduled intervals rather than continuously. The processor calculates dewpoint based on sensor readings at discrete time points and uses linear regression on this sampled data to predict trends, reducing computational load while maintaining effective early detection.
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
The system effectively anticipates and prevents condensation on surfaces by preemptively activating the condensation mitigation device, ensuring the surface remains clear and functional, even in environments prone to steam and humidity changes.
Implementation Method 1
a surface temperature sensor positioned on or near a surface of the object to sense a temperature
Implementation Method 2
an ambient temperature sensor positioned in an area in which the object is located to sense an ambient temperature
Implementation Method 3
a humidity sensor positioned in the area in which the object is located to sense a humidity
Implementation Method 4
transmit a control signal to begin activating the condensation mitigation device, and thereby prevent condensation from forming on the surface of the object
Data Source
AI summary
In an embodiment, the present disclosure is directed to an assembly for preventing condensation on a surface of an object. The assembly may include a condensation mitigation device; a surface temperature sensor configured to sense a temperature; an ambient temperature sensor configured to sense an ambient temperature; and a humidity sensor configured to sense a humidity. The condensation mitigation device may be operably coupled to the surface temperature sensor, the ambient temperature sensor, and the humidity sensor. The condensation mitigation device may be configured to calculate a dewpoint temperature based on the ambient temperature and the humidity; repeat the calculation of the dewpoint temperature for different times; calculate a linear regression for the calculated dewpoint temperatures; and transmit a control signal to begin activating the condensation mitigation device based on the surface temperature, the current dewpoint temperature, and the linear regression for the calculated dewpoint temperatures.