Method and device for controlling heat energy output in local and regional housing arrantements.
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Solution Overview
Problem
Current heating energy output control systems for local and regional living space structures lack efficient and adaptive methods to optimize energy distribution on short time scales, often relying on outdated technologies and requiring additional sensors or complex installations.
Innovation Solution
A ubiquitous sensor network with electronic heat cost allocators and artificial neural networks is integrated into a smart grid infrastructure, using temperature sensors and air quality sensors to control heating energy output, allowing for real-time data processing and optimization without additional hardware, and enabling user interaction through touch-sensitive input devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If traditional heating control systems are used, then installation is simple, but energy efficiency optimization is insufficient and equipment costs are high
Solution Approach 1:
The electronic heat cost allocator is designed to perform multiple functions: it measures room temperature, measures heating surface temperature, calculates heat consumption for billing purposes, and provides temperature data for heating control optimization. By making the heat cost allocator multi-functional, the system achieves energy efficiency optimization without requiring separate dedicated sensors, thus avoiding increased device complexity
Solution Approach 2:
The system uses the existing heat cost allocation infrastructure to serve dual purposes: traditional heat consumption measurement and real-time temperature monitoring for control optimization. The heat cost allocator automatically provides temperature data to the control unit, enabling self-service data sharing between measurement and control functions without additional hardware
2Measurement precision
If additional sensors are added for real-time control, then control precision is improved, but equipment costs increase by over 60%
Solution Approach 1:
The electronic heat cost allocator's temperature sensors are utilized for both traditional heat cost calculation and real-time heating control. The same measurement infrastructure serves dual purposes, eliminating the need for additional dedicated temperature sensors and reducing equipment quantity while maintaining measurement precision
Solution Approach 2:
The patent merges the temperature measurement function into the existing heat cost allocation system. By combining heat cost measurement and heating control temperature monitoring into a single integrated system, the patent avoids duplicating sensors and reduces overall equipment quantity while achieving precise real-time control
3Adaptability or versatility
If complex installation systems are used, then control functionality is comprehensive, but installation complexity and costs increase
Solution Approach 1:
The electronic heat cost allocator is enhanced to provide multiple control-relevant functions (temperature measurement, heat consumption calculation) from a single device, reducing the number of components that need to be installed and connected while maintaining comprehensive control adaptability
Solution Approach 2:
The system establishes automatic feedback loops where the heat cost allocator continuously provides temperature data to the control unit, which adjusts heating output accordingly. This automated feedback mechanism provides comprehensive adaptability without requiring complex manual intervention or additional installation infrastructure
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 solution enables precise, adaptive control of heating energy output, reducing equipment costs by over 60% and improving energy efficiency, while providing real-time monitoring and control of heating communities within intelligent infrastructure.
Implementation Method 1
at least a first temperature sensor for detecting the temperature of the associated heating surface (radiator temperature sensor) and a second temperature sensor for detecting the air temperature of the room (room temperature sensor)
Data Source
Figure 1~2
Figure 3~3a
AI summary
A method for controlling the heating energy output in local to regional living space structures is based on a ubiquitous sensor network including a standard-compliant heating cost allocation system with electronic heat cost allocators (10) that are attached to the heating surfaces of a living space structure and at least a first temperature sensor for detecting the temperature of the associated heating surface and a second Have temperature sensor for detecting the air temperature of the room in which the heating surface is located. The measured values recorded by the sensors of the sensor network, including the temperature sensors of the electronic heat cost allocator (10), are evaluated and included in the control of the heating energy delivery to the individual rooms of the living space structure in which there are heating surfaces. To carry out this method, a device arrangement is set up which comprises a number of sensor devices arranged in a local or regional living space structure, including electronic heat cost allocators (10) which are attached to heating surfaces of a living space structure and at least a first temperature sensor for detecting the temperature of the associated heating surface and a second Have temperature sensor for detecting the air temperature of the room in which the heating surface is located.