Continuous intelligent-control-system update using information requests directed to user devices
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Solution Overview
Problem
Current HVAC thermostatic control systems, especially programmable ones, are often underutilized due to complexity, leading to missed energy-saving opportunities as users are intimidated by numerous controls and seldom adjust settings to optimize energy usage, resulting in inefficient energy consumption.
Innovation Solution
An intelligent thermostat with high-power and low-power consuming circuitry that includes power-stealing technology, microprocessors, and microcontrollers, which continuously refines computational models by gathering user information through non-obtrusive queries, providing a user-friendly interface for energy management and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If programmable thermostats with multiple HVAC-system settings are provided, then energy-saving capability is improved, but device complexity increases making users intimidated and unable to use the features
Solution Approach 1:
The intelligent thermostat automatically learns and adapts to user temperature preferences and occupancy patterns without manual programming. The system performs self-configuration by monitoring user behavior and environmental data, eliminating the need for users to navigate complex settings while achieving energy-saving goals through automated optimization of HVAC operation schedules.
Solution Approach 2:
The system dynamically adjusts temperature setpoints and HVAC operation parameters based on learned user preferences and real-time environmental conditions. By continuously adapting operational parameters rather than requiring fixed user programming, the thermostat achieves energy savings while maintaining simplicity in user interaction.
2Adaptability or versatility
If intelligent thermostat performs high-power activities (wireless communications, display, calculations) continuously, then learning and adaptation capability is improved, but power consumption increases
Solution Approach 1:
The intelligent thermostat implements periodic operation cycles where the high-power microprocessor performs learning calculations and wireless communications at scheduled intervals rather than continuously. Between these periodic high-power intervals, the system operates in low-power mode with basic thermostat functions, thereby maintaining adaptability while significantly reducing average power consumption from the power-stealing circuitry and battery.
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 intelligent thermostat system optimizes energy usage by automatically adjusting settings based on learned user preferences and environmental conditions, promoting energy-saving behaviors and reducing energy consumption while maintaining comfort levels.
Implementation Method 1
The intelligent thermostat also includes power-stealing circuitry that harvests power from an HVAC-triggering circuit and a power-storage medium, such as a rechargeable battery
Data Source
AI summary
An intelligent control system includes intelligent thermostats and controls an environment, such as a residential living space, commercial building, or another environment. The intelligent control system obtains information related to the controlled environment by collecting sensor data, obtaining data from users during interactive information-exchange sessions, and by directing information queries to users on one or more user devices.