Intelligent environmental control system
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Solution Overview
Problem
Intelligent controllers face challenges in balancing conflicting control goals and constraints, particularly in achieving efficient control of environmental parameters like temperature in smart-home environments, where energy efficiency and response time often conflict.
Innovation Solution
The implementation of intelligent controllers that continuously monitor progress towards control goals and dynamically adjust control strategies using sensor data and user inputs, employing auto-component-activation levels and advanced modeling techniques to optimize energy usage and response times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the controller activates all available systems to achieve rapid environmental parameter changes, then response time is improved, but energy consumption increases
Solution Approach 1:
The controller dynamically adjusts system activation based on real-time monitoring of environmental parameters and predicted future states. Instead of static on/off control, the system continuously adapts which systems to activate and at what intensity, optimizing the balance between response time and energy consumption
Solution Approach 2:
The controller uses predictive modeling to anticipate future environmental parameter changes and pre-activates systems or adjusts their intensity in advance. This allows the system to meet response time requirements while avoiding unnecessary full-power activation, thereby reducing energy consumption
2Reliability
If the controller uses multiple systems simultaneously to achieve control goals, then reliability is improved, but device complexity increases
Solution Approach 1:
The controller changes operational parameters such as intensity levels and activation timing of multiple systems based on real-time conditions. By adjusting parameters dynamically rather than simply adding more systems, the controller achieves reliable control while managing complexity through intelligent parameter management
Solution Approach 2:
The system continuously monitors environmental parameters and system performance, using this feedback to adjust which systems are activated and at what intensity. This closed-loop control ensures reliable achievement of control goals while the intelligent selection logic manages system complexity
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.