Clothes Dryer Sensor-Based Dryness Detection to Reduce Overdrying
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Solution Overview
Problem
Commercial clothes dryers lack settings to accommodate different fabric types and desired levels of dryness, leading to overdrying, energy inefficiency, and premature textile degradation in institutional laundry settings.
Innovation Solution
A system and method for determining dryness in clothes dryers using temperature and humidity sensors, calculating global state and indicator scores to determine when textiles are dry, and automatically signaling or turning off the dryer to prevent over-drying.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the dryer temperature is set to medium or high with extended drying time to ensure complete dryness, then the textiles will be completely dry, but this causes overdrying which results in premature textile degradation and excess energy consumption
Solution Approach 1:
The system continuously monitors temperature and humidity conditions within the dryer during the drying cycle, using sensor data to detect when textiles have reached the desired dryness level. This feedback mechanism allows the dryer to automatically terminate the cycle at the optimal point, preventing overdrying and reducing energy consumption while ensuring complete dryness is achieved.
Solution Approach 2:
The system dynamically adjusts drying parameters based on real-time monitoring of temperature and humidity conditions. By changing the operational parameters (temperature, humidity thresholds, cycle duration) based on actual drying progress rather than fixed preset values, the system optimizes energy efficiency while maintaining reliable dryness assurance for different fabric types.
2Adaptability or versatility
If the dryer uses fixed temperature and time settings without adjustable features, then the device complexity is low, but this causes inability to accommodate different fabric types and desired levels of dryness
Solution Approach 1:
The system provides automatic dryness detection and cycle termination without requiring user intervention or complex manual adjustments. The sensor-based monitoring and automated control enable the dryer to adapt to different fabrics and dryness preferences independently, maintaining low operational complexity while achieving high adaptability through intelligent self-regulation.
Solution Approach 2:
The monitoring system is designed to handle multiple fabric types and dryness levels using a unified sensor-based approach. By implementing universal temperature and humidity thresholds that work across different fabric types (cotton, polyester, blends, delicates), the system achieves multi-functionality without requiring separate control mechanisms for each fabric type, thus maintaining simplicity while enhancing adaptability.
3Loss of energy
If manual checks are performed to determine dryness, then energy consumption is reduced by avoiding overdrying, but this increases labor requirements and operational time
Solution Approach 1:
The system replaces manual visual inspection and tactile checking with automated electronic sensors that continuously monitor temperature and humidity conditions. This substitution of mechanical/manual detection with electronic sensing eliminates the need for operator intervention, reducing both labor time and operational delays while maintaining energy efficiency through precise dryness 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
This solution reduces energy consumption, extends linen life, and eliminates the need for manual checks, ensuring textiles are dry without being over-dried.
Implementation Method 1
receiving temperature information associated with a dryer cycle of a clothes dryer
Implementation Method 2
receiving humidity information associated with the dryer cycle
Implementation Method 3
Institutional laundry settings... operators typically set the dryer temperature to medium or high
Data Source
AI summary
A dryer monitoring system receives dryer information from one or more sensors concerning operation of one or more dryers, such as clothes dryers. For example, the dryer monitoring system may receive temperature and/or humidity information from one or more dryers. The dryer monitor analyzes the dryer data to determine whether textiles in the dryer are dry. The dryer monitor may analyze one or more states and/or one or more indicators (patterns in the dryer data) during the dryness determination.