Intelligent Controller Time-Remaining Prediction With Multi-Model Feedback
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Solution Overview
Problem
Intelligent controllers lack the capability to continuously and accurately calculate and display the time remaining until a control task is completed, especially in complex environments where various factors influence the control parameters, such as temperature in smart-home systems.
Innovation Solution
The implementation of intelligent controllers that use multiple models for time behavior prediction, combining sensor data to estimate the time remaining for control tasks by employing both global and local modeling techniques, and displaying this information through graphical and textual interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple models for time behavior prediction are employed, then measurement precision of time remaining is improved, but device complexity increases
Solution Approach 1:
The patent divides the prediction system into multiple independent models (global model and local models) that operate in parallel. Each model processes specific aspects of time behavior prediction, allowing the system to achieve high accuracy without requiring a single overly complex model. The segmentation enables modular computation where each model can be optimized independently.
Solution Approach 2:
The system employs multiple models beyond what a single model would provide, using an excessive approach to ensure prediction accuracy. By implementing both global and local models simultaneously, the system guarantees precise time remaining predictions even in complex dynamic environments, accepting the trade-off of increased computational resources.
2Loss of information
If continuous calculation and display of time remaining is implemented, then information completeness is improved, but loss of time for processing increases
Solution Approach 1:
The system performs preliminary calculations by maintaining multiple pre-trained models that can quickly predict time remaining without requiring extensive real-time computation. The global and local models are prepared in advance, allowing the controller to provide continuous updates with minimal processing delay during operation.
Solution Approach 2:
The system implements continuous feedback loops where prediction results from multiple models are continuously updated and displayed. This feedback mechanism provides real-time information about time remaining while using efficient calculation methods that minimize processing time, balancing information completeness with computational speed.
Data Source
AI summary
The current application is directed to intelligent controllers that continuously, periodically, or intermittently calculate and display the time remaining until a control task is projected to be completed by the intelligent controller. In general, the intelligent controller employs multiple different models for the time behavior of one or more parameters or characteristics within a region or volume affected by one or more devices, systems, or other entities controlled by the intelligent controller. The intelligent controller collects data, over time, from which the models are constructed and uses the models to predict the time remaining until one or more characteristics or parameters of the region or volume reaches one or more specified values as a result of intelligent controller control of one or more devices, systems, or other entities.