Computerized systems and methods for automatic mode operation and control of a ceiling fan
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Solution Overview
Problem
Conventional ceiling fans lack the ability to optimize their operation based on ceiling temperature, humidity measurements, seasonal data, and occupancy information, leading to inefficient energy usage and comfort levels in controlled spaces.
Innovation Solution
A decision intelligence (DI)-based computerized framework that dynamically controls ceiling fan operation by sensing real-time temperature and humidity data, occupancy, and seasonal climate information to optimize fan speed and direction for enhanced comfort and reduced energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If ceiling fan operates continuously to maintain temperature control, then temperature stability is improved, but energy consumption increases
Solution Approach 1:
The ceiling fan transitions from static continuous operation to dynamic variable-speed operation. The controller adjusts fan speed in real-time based on temperature deviations from setpoint, occupancy presence, and humidity conditions, allowing the system to maintain temperature stability while minimizing energy consumption during periods of minimal thermal demand
Solution Approach 2:
The system implements closed-loop feedback control by continuously monitoring temperature sensors, occupancy detectors, and humidity sensors, then adjusting fan operation accordingly. The controller receives feedback about actual temperature conditions and occupancy status to dynamically optimize fan speed, ensuring temperature stability is maintained only when and where needed, thereby reducing overall energy consumption
2Ease of operation
If ceiling fan operates at high speed to enhance cooling effect, then occupant comfort is improved, but energy consumption increases
Solution Approach 1:
The system applies different fan speeds to different zones or conditions within the space. High speed operation is localized to areas with detected occupancy and high thermal demand, while other areas receive appropriate but lower speed operation. This zoned approach maintains occupant comfort in occupied areas without unnecessarily consuming energy in unoccupied areas
Solution Approach 2:
The controller dynamically changes the operational parameters of the ceiling fan based on real-time conditions. Fan speed is adjusted as a variable parameter in response to occupancy detection, temperature measurements, and humidity levels, allowing the system to optimize the balance between occupant comfort and energy consumption by matching fan performance to actual environmental needs
3Device complexity
If ceiling fan operates without sensing ceiling temperature to cool the space, then device complexity is reduced, but temperature control precision deteriorates
Solution Approach 1:
The ceiling fan system is enhanced with multi-functionality by integrating temperature sensing, humidity sensing, occupancy detection, and automated control capabilities into a single unified device. This allows the fan to automatically respond to ceiling temperature conditions and other environmental factors, improving temperature control precision without requiring separate standalone control systems
Solution Approach 2:
The ceiling fan system performs self-service by autonomously monitoring its own operating environment through integrated sensors and automatically adjusting its operation based on detected conditions. The fan senses ceiling temperature, humidity, and occupancy status, then self-regulates its speed and operation mode without requiring external control input, thereby improving temperature control precision while adding minimal complexity
4Ease of operation
If ceiling fan operates without occupancy detection to maintain comfort, then simplicity is maintained, but energy efficiency deteriorates
Solution Approach 1:
The occupancy detection system performs preliminary assessment of space utilization before the cooling season or before fan operation begins. The system detects occupancy presence and patterns in advance, allowing it to pre-position or pre-adjust fan operation to match anticipated cooling demands, thereby maintaining comfort in occupied areas while avoiding energy waste in unoccupied areas
Solution Approach 2:
Occupancy detectors provide continuous feedback about the presence and location of occupants to the fan controller. This feedback enables the system to dynamically adjust fan speed and direction to match actual occupancy patterns, maintaining occupant comfort in occupied zones while shutting down or reducing operation in unoccupied zones, thus significantly improving overall 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
The framework reduces energy expenditure by optimizing ceiling fan operation, maintaining temperature control without relying on HVAC systems, and enhancing occupant comfort through targeted air flow management based on real-time climate and occupancy data.
Implementation Method 1
The beneficial effect of the fan's downward air flow is the increased evaporation of moisture on a person's skin. For example, this effect can be exothermic, and therefore cooling to the skin and the person.
Implementation Method 2
the fan should run at an adequate amount of fan speed or flow to cause air at the ceiling to circulate to balance the room air temperature
Data Source
AI summary
Disclosed are systems and methods of a novel framework for automatically and dynamically controlling an operational mode of a ceiling fan based on real-time detected information related to a location. The framework can sense a temperature in/at a location (e.g., a temperature proximate to the ceiling fan), in addition to other climate-related characteristics of the location (e.g., humidity, for example), and leverage such location-based climate information as input to control operation of the ceiling fan, and the mode's characteristics (e.g., speed and runtime). Occupancy data related to users' physical positioning respective to the ceiling fan can additionally be leveraged to control the operation mode. The framework can enable a reduction in resource expenditure (e.g., reduced energy usage and HVAC runtime, for example), as the ceiling fan can be utilized to maintain a location's temperature control without the need for operation of a HVAC system.