Intelligent HVAC Controller for Fast Setpoint Changes With Lower Energy Use
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Solution Overview
Problem
Intelligent controllers face challenges in balancing conflicting control goals and constraints, particularly in dynamically adjusting control strategies to achieve multiple objectives in complex environments like smart homes and HVAC systems, where energy efficiency and response time are critical.
Innovation Solution
The development of intelligent controllers that continuously monitor progress towards control goals and dynamically adjust control strategies using various types of information to balance potentially conflicting goals, incorporating features like auto-component-activation levels and advanced user interfaces for energy-efficient and comfortable operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the controller activates multiple systems simultaneously to achieve setpoint changes quickly, then the response time is reduced, but the energy usage increases
Solution Approach 1:
The controller dynamically adjusts control strategies based on real-time monitoring of system responses. It transitions from static control schedules to adaptive control that modifies system activation decisions during operation, balancing response time and energy usage based on actual environmental conditions and system performance
Solution Approach 2:
The controller continuously monitors the response of controlled systems to determine whether setpoint changes are being achieved. This feedback mechanism allows the controller to detect when systems are responding adequately and subsequently deactivate them to reduce energy consumption, creating a closed-loop control system that balances speed and energy efficiency
2Measurement precision
If the controller monitors system responses continuously to optimize control, then the control precision is improved, but the computational complexity increases
Solution Approach 1:
The controller implements monitoring at strategic intervals and for specific critical parameters rather than continuous comprehensive monitoring of all systems. This partial monitoring approach provides sufficient control precision while reducing computational burden by focusing resources on the most impactful measurements
3Adaptability or versatility
If the controller dynamically adjusts control strategies during operation, then the adaptability is improved, but the device complexity increases
Solution Approach 1:
The controller pre-establishes control schedules and system activation patterns based on anticipated conditions. These preliminary control strategies provide a foundation that reduces the complexity of real-time decision-making, as the controller only needs to make adjustments to pre-planned strategies rather than creating control sequences from scratch during operation
Data Source
AI summary
The current application is directed to intelligent controllers that continuously, periodically, or intermittently monitor progress towards one or more control goals under one or more constraints in order to achieve control that satisfies potentially conflicting goals. An intelligent controller may alter aspects of control, dynamically, while the control is being carried out, in order to ensure that goals are obtained and a balance is achieved between potentially conflicting goals. The intelligent controller uses various types of information to determine an initial control strategy as well as to dynamically adjust the control strategy as the control is being carried out.