Drone Thermal Mapping for Whole-Property Temperature Monitoring
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Solution Overview
Problem
Conventional monitoring systems using stationary thermostats are limited in accurately measuring overall property temperatures due to localized readings, which can be affected by factors like air flow and sunlight, leading to inaccurate temperature data and inefficient thermal regulation.
Innovation Solution
Deploying a drone equipped with temperature sensors and propulsion systems to navigate throughout a property, collect thermal data, and generate a three-dimensional thermal model, enabling comprehensive temperature measurements and airflow analysis, and allowing for targeted interventions to improve thermal regulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If stationary thermostats are used to measure temperature, then the device complexity is reduced, but the measurement precision deteriorates due to localized readings being affected by air flow and sunlight
Solution Approach 1:
The monitoring system is segmented into multiple stationary thermostat units distributed throughout the property, each independently measuring temperature at its specific location. This segmentation allows comprehensive temperature mapping without requiring a single complex mobile system, thereby improving measurement precision across the entire property while keeping individual device complexity low
Solution Approach 2:
A central processing system acts as an intermediary that collects temperature data from multiple distributed thermostats, processes the information, and generates comprehensive thermal models. This intermediary approach enables accurate overall temperature assessment without requiring each individual thermostat to be complex, as the intelligence is distributed across the network
2Quantity of substance
If a single thermostat is used, then the device complexity is minimized, but the quantity of temperature data collected is insufficient to represent overall property temperature distribution
Solution Approach 1:
The property is divided into multiple monitoring zones, each equipped with a stationary thermostat. This segmentation enables comprehensive spatial coverage of temperature data without requiring a single complex system, as each zone independently contributes to the overall temperature profile
Solution Approach 2:
Temperature data from multiple distributed thermostat units are merged and integrated by a central processing system to create a comprehensive thermal model of the entire property. This merging approach accumulates sufficient temperature data across all zones while maintaining simple individual device structures
3Reliability
If thermostats are placed in specific locations for monitoring, then the ease of operation is improved, but the reliability deteriorates when local conditions like air flow and sunlight cause inaccurate readings
Solution Approach 1:
Multiple thermostats are strategically segmented and placed in diverse locations throughout the property, including both sun-exposed and shaded areas, high and low zones. This segmentation ensures that no single location's local conditions (air flow, sunlight) can skew the overall temperature assessment, thereby improving reliability while maintaining simple placement procedures
Solution Approach 2:
The system incorporates feedback mechanisms where temperature readings from multiple locations are continuously monitored and compared. When local conditions cause anomalous readings at specific locations, the feedback loop allows the system to identify and compensate for these deviations through data from other locations, thereby maintaining reliability without complicating the basic thermostat operation
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 drone-based system provides a more accurate and comprehensive understanding of temperature distributions within a property, enabling effective thermal monitoring and regulation, improving diagnostic capabilities and energy efficiency by addressing issues like air flow and temperature disparities.
Implementation Method 1
determining a first temperature measurement at a first location of a property with a temperature sensor
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for drone-assisted thermal monitoring. One of the methods includes determining a first temperature measurement at a first location of a property, navigating from the first location to a second location of the property, determining a second temperature measurement at the second location, generating a thermal model for the property based on the first temperature measurement and the second temperature measurement, and providing the thermal model for output.