Device for Intelligent Temperature Control of Equipment
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Solution Overview
Problem
Conventional refrigeration equipment control systems rely solely on thermistor signals for temperature adjustments, neglecting external factors like power consumption and energy efficiency, leading to suboptimal energy usage.
Innovation Solution
An intelligent temperature control system that intercepts and modifies thermistor signals based on various factors, including power consumption, to optimize temperature settings and reduce energy consumption by integrating external data and machine learning models for predictive control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If the control system relies solely on thermistor signals for temperature adjustments, then the temperature control is simple and direct, but the energy efficiency and power consumption optimization are neglected
Solution Approach 1:
The patent introduces an intermediary device between the thermistor and the control module that modifies the thermistor signal based on additional factors like power consumption and energy efficiency. This intermediary layer allows the system to consider multiple parameters without fundamentally changing the existing control architecture, thus improving energy efficiency while maintaining manageable system complexity.
Solution Approach 2:
The control system is enhanced to perform multiple functions: it not only processes temperature signals from the thermistor but also integrates power consumption data and energy efficiency considerations. This multi-functional approach allows a single control system to optimize both temperature control and energy usage without requiring entirely separate systems.
2Loss of energy
If the system modifies thermistor signals based on multiple factors including power consumption, then energy optimization is improved, but the control system complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-processing the thermistor signal and integrating it with power consumption data before the control module makes decisions. This allows the system to optimize energy consumption by considering multiple factors in advance, rather than reacting to temperature changes alone, thereby reducing overall energy loss while managing complexity through structured signal processing.
3Productivity
If the control system uses only thermistor signals, then the response time is fast and direct, but the temperature optimization based on external factors is limited
Solution Approach 1:
The system implements enhanced feedback mechanisms where the control module receives not only the original thermistor signal but also modified signals that incorporate power consumption and energy efficiency data. This multi-layered feedback allows the system to maintain fast response times while simultaneously optimizing temperature control based on external factors, thereby improving overall productivity and adaptability.
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
This approach enables more efficient energy use by adjusting refrigeration equipment temperatures according to external factors, optimizing power consumption and reducing energy costs while maintaining operational effectiveness.
Implementation Method 1
A thermistor is a temperature-dependent resistor that changes resistance with changes in temperature. A thermistor senses temperature changes in the refrigeration equipment and sends a signal to a control system
Implementation Method 2
The device comprises one or more variable resistors connected to the thermistor, wherein changing the one or more variable resistors causes a voltage across the thermistor to generate the modified signal
Data Source
AI summary
A system performs intelligent temperature control of equipment, for example, refrigeration equipment, heating equipment, air-conditioning equipment. The system receives signal generated by a sensor mounted in the equipment, for example, a thermistor. The signal monitors an attribute of the equipment, for example, temperature, pressure, or humidity. The system determines an optimal target attribute value for the equipment. The system modifies the signal received from the sensor to generate a modified signal for achieving the optimal target attribute value for the equipment. The system may use a device with variable resistors for generating the modified signal. The system sends the modified signal to a control module of the equipment. The control module controls the equipment to achieve the optimal target attribute value.