Multi-region temperature monitoring techniques
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Solution Overview
Problem
Multi-dwelling units (MDUs) face inefficiencies in climate control due to independent operation of HVAC systems in individual units, leading to undesired temperature regulation and increased energy consumption, particularly from leak effects between adjoining dwellings.
Innovation Solution
A multi-dwelling monitoring system that coordinates climate control operations across units by sharing temperature data and occupancy information, adjusting operations to account for leak effects and user preferences, thereby optimizing energy use and comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If climate control components operate independently in each dwelling, then each unit can maintain its own temperature settings, but energy consumption increases and temperature regulation becomes inefficient due to leak effects between adjoining units
Solution Approach 1:
The patent merges previously independent climate control systems into a coordinated networked system. Climate control components in multiple dwellings are combined into a single system that shares temperature data and occupancy information, allowing the server to optimize HVAC operations across adjoining units and reduce energy consumption from leak effects.
Solution Approach 2:
The system implements feedback mechanisms where temperature data and occupancy information from each dwelling are continuously monitored and fed back to a central server. The server processes this feedback data and generates optimized climate control instructions that account for thermal interactions between adjoining units, creating a closed-loop control system that reduces energy waste.
2Reliability
If climate control components operate independently, then system implementation is simpler, but temperature regulation accuracy deteriorates due to unaccounted leak effects between dwellings
Solution Approach 1:
The patent introduces a server as an intermediary between independent climate control components. The server receives temperature data and occupancy information from each dwelling, processes this information to account for thermal leak effects, and generates optimized control instructions. This intermediary enables accurate temperature regulation without requiring direct complex interactions between climate control systems.
Solution Approach 2:
The server performs multiple functions: collecting temperature data from multiple sources, analyzing occupancy patterns, calculating thermal interactions between adjoining units, and generating optimized climate control instructions. This multi-functional approach improves temperature regulation accuracy while avoiding the need for complex point-to-point communication infrastructure between individual climate control systems.
3Productivity
If HVAC operations are coordinated across multiple dwellings, then energy consumption is reduced, but the complexity of data collection and processing increases
Solution Approach 1:
The system enables climate control components to self-optimize by automatically sharing their operational data and occupancy information with the server. Each climate control system essentially serves itself by providing data that enables the server to calculate optimized setpoints, reducing the need for manual intervention and simplifying the overall data processing architecture while improving energy efficiency.
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
The system reduces energy consumption and maintains desired temperature settings by coordinating HVAC operations, addressing leak effects and enhancing user comfort across interconnected dwellings.
Implementation Method 1
a climate control component (e.g., thermostat) The server monitors data generated by each of the individual monitoring systems and determines adjustments to climate control
Implementation Method 2
heating operation within one dwelling may result in undesired heating within the second dwelling
Implementation Method 3
similar principles and/or techniques are applicable to cooling operations
Implementation Method 4
if a wall shared by two dwellings produces a leak effect, then a heating operation within one dwelling may result in undesired heating within the second dwelling
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for temperature control. In some implementations, a method includes obtaining first temperature data associated with a first climate control component of a first dwelling of a property; obtaining second temperature data associated with a second climate control component of a second dwelling of the property; determining a leak effect between the first dwelling and the second dwelling using the first temperature data and the second temperature data; determining an instruction to adjust operation of the first climate control component using the leak effect; and providing the instruction to the first climate control component.