Temperature control system and method
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Solution Overview
Problem
Existing temperature control systems fail to efficiently account for heat loss and gain in rooms, lacking optimization based on predicted heat loss and integration of air conditioners and boilers, and do not provide a unified control mechanism.
Innovation Solution
A remote controller acquires indoor and outdoor temperature data, builds a heat profile model using historical data, and controls heating and cooling units to adjust energy input or removal based on this profile, considering unit characteristics and operational status, with optional integration of renewable energy sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a remote controller integrates multiple temperature control units (air conditioner and boiler) with different characteristics, then the system provides more comprehensive temperature control capabilities, but the device complexity increases
Solution Approach 1:
The patent combines multiple temperature control units (air conditioner and boiler) with different characteristics into a single remote controller system. The controller integrates control logic for both cooling and heating operations, unified temperature sensing, and centralized management, allowing comprehensive temperature control while reducing the need for separate control devices for each unit type.
2Measurement precision
If the system uses historical temperature data and heat profile estimation, then the temperature control accuracy is improved, but the data processing complexity increases
Solution Approach 1:
The system performs preliminary actions by collecting and storing historical temperature data in advance, and pre-calculating heat profiles based on this data. The controller maintains a database of past temperature readings and uses this pre-processed information to estimate future heat loss/gain patterns, enabling more accurate predictive control without requiring complex real-time calculations during operation.
3Use of energy by moving object
If the system optimizes energy use by considering heat loss and renewable energy sources, then the energy efficiency is improved, but the control logic complexity increases
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring actual temperature readings, comparing them with predicted values from heat profiles, and adjusting control decisions accordingly. The controller uses this feedback to optimize energy consumption, considering heat loss patterns and renewable energy availability, while maintaining relatively simple control logic through iterative refinement rather than complex predetermined algorithms.
Data Source
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AI summary
The current invention relates to a temperature control system and method for temperature control, wherein use is made of indoor and outdoor temperature historical data to generate a heat profile for estimation of a feature heat quantity/temperature in one or more rooms, and for an ensuing control of at least two temperature control units based on said heat profile.