Air-Conditioning System Autonomous Control for Mold Prevention
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Solution Overview
Problem
Existing conditioning apparatuses require user intervention for programming, leading to potential mold formation due to incorrect environmental condition adjustments, increased energy consumption, and health hazards from mold growth, especially when users are absent for extended periods.
Innovation Solution
A method to autonomously control a conditioning apparatus using integrated or remote sensors to detect and average temperature and humidity values, calculate a mold risk factor, and activate the system when conditions are conducive to mold growth, directing airflow to affected areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the conditioning apparatus is activated for extended periods to prevent mold formation, then the mold prevention effectiveness is improved, but the energy consumption increases
Solution Approach 1:
The control unit continuously monitors environmental conditions (temperature, humidity, occupancy) and adjusts the conditioning apparatus operation accordingly. This feedback mechanism ensures the system runs only when necessary to prevent mold, avoiding unnecessary energy consumption while maintaining effective mold prevention through real-time condition-based activation
Solution Approach 2:
The system dynamically changes operational parameters (activation timing, duration, intensity) based on detected environmental conditions. By adjusting these parameters according to real-time data about temperature, humidity levels, and occupancy, the system optimizes the balance between mold prevention effectiveness and energy consumption
2Ease of operation
If the user directly programs the conditioning apparatus, then the ease of operation is improved, but the adaptability to environmental conditions deteriorates
Solution Approach 1:
The conditioning apparatus automatically monitors environmental conditions and adjusts its operation without requiring user programming. The control unit independently evaluates temperature, humidity, and occupancy data to determine optimal activation times, enabling the system to adapt to changing environmental conditions while maintaining simple operation for the user
Solution Approach 2:
The system incorporates continuous environmental monitoring with automatic response. Sensors detect changes in temperature, humidity, and occupancy, providing feedback to the control unit which automatically adjusts operation. This eliminates the need for complex user programming while maintaining high adaptability to environmental conditions
3Use of energy by moving object
If the conditioning apparatus remains inactive during user absence, then the energy consumption is reduced, but the mold formation risk increases
Solution Approach 1:
The system activates the conditioning apparatus in advance based on predicted occupancy patterns and environmental conditions. By proactively adjusting environmental parameters before conditions become conducive to mold growth, the system prevents mold formation during user absence without requiring continuous operation, thus reducing energy consumption while maintaining safety
Solution Approach 2:
The control unit continuously monitors environmental conditions and activates the conditioning apparatus when sensor data indicates conditions are approaching thresholds that could promote mold growth. This feedback-driven approach ensures the system runs only when necessary to prevent mold during absence, optimizing the balance between energy consumption and mold prevention
Data Source
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Figure 3
AI summary
A method is described to control a conditioning apparatus (10) to prevent or reduce the risk or likelihood that molds will form, proliferate and grow, in particular in internal spaces conditioned by the conditioning apparatus (10). The control method provides to receive information that is characteristic of the room to be conditioned (50) indicative of the thermal state of this room, to calculate a risk factor indicative of the likelihood of mold formation in the room to be conditioned (50), in which the risk factor is a function of the characteristic information, and to compare the risk factor with a respective threshold value, in which it is provided to activate the conditioning apparatus (10) for a determinate interval of time when the outcome of the comparison of the risk factor calculated with the respective threshold value reveals a high risk of mold formation.