Heating adjustment method and device
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Solution Overview
Problem
Heating systems in residential areas often fail to maintain a consistent indoor temperature within the standard range, leading to discomfort and energy inefficiency, as they rely on general adjustments based on experience and weather conditions rather than real-time monitoring.
Innovation Solution
A method and device that calculate the average indoor temperature of a cell, adjust the water pump flow and water temperature supplied to the cell, and adjust the frequency of data reporting based on whether the temperature is within the standard range, using a processor and memory to execute these calculations and adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If general adjustments are made according to experience and weather conditions, then the heating system operation is simple, but the indoor temperature cannot be maintained within the standard range
Solution Approach 1:
The patent implements a feedback mechanism by collecting real-time indoor temperature data from multiple dwelling units, calculating average temperatures, and using this information to automatically adjust heating parameters. This closed-loop feedback system enables precise temperature control while maintaining operational simplicity through automated decision-making algorithms.
Solution Approach 2:
The system dynamically changes heating parameters (water temperature, flow rate) based on calculated average indoor temperatures. By adjusting these parameters in response to real-time temperature data, the system achieves precise temperature control without requiring complex manual intervention or infrastructure changes.
2Reliability
If real-time monitoring and adjustment of each dwelling unit is implemented, then the indoor temperature can be maintained within the standard range, but the system complexity and data processing requirements increase
Solution Approach 1:
The system segments the heating control by calculating average temperatures for different cell groups rather than controlling each dwelling unit individually. This segmentation approach maintains reliable temperature control at the group level while significantly reducing system complexity and data processing requirements compared to unit-by-unit control.
Solution Approach 2:
The patent merges temperature data from multiple dwelling units within a cell to calculate an average temperature. This merging approach provides a reliable basis for control decisions while simplifying the system by treating groups of units as a single control entity, reducing the number of independent control channels needed.
3Ease of operation
If frequent heating adjustments are made to maintain temperature standards, then user comfort is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic monitoring and adjustment based on calculated average temperatures rather than continuous adjustment. By operating at appropriate intervals and only when temperature deviations are detected, the system maintains user comfort while minimizing unnecessary energy consumption associated with frequent adjustments.
Solution Approach 2:
The system applies partial adjustments to heating parameters based on the magnitude of temperature deviations. Rather than making maximum adjustments frequently, the system applies only the necessary degree of adjustment to bring temperatures back within the standard range, optimizing energy efficiency while maintaining comfort.
Data Source
AI summary
The present disclosure discloses a heating adjustment method and device, which belongs to the field of thermal system management technologies. The method includes: calculating an average indoor temperature of a cell, wherein the average indoor temperature of the cell is an average value of a real-time indoor temperature of each dwelling unit in the cell; judging whether the average indoor temperature is within a standard temperature range; and adjusting at least one of a water pump flow and a water temperature supplied to the cell when the average indoor temperature is not within the standard temperature range. When the average indoor temperature of the current cell is abnormal, the temperature of the cell is restored to a standard value by adjusting the water pump flow and the water temperature for heating, thus the response speed is fast, the reliability is high, the user experience is improved and energy is saved.