System for controlling an environment of a structure
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Solution Overview
Problem
Existing systems for controlling environmental conditions in structures, such as HVAC and lighting, lack the ability to dynamically adjust based on a user's distance from the structure, estimated time of arrival, and core body temperature, leading to inefficient energy use and suboptimal comfort upon arrival.
Innovation Solution
A system comprising temperature sensors, location devices, and processors that utilize Abreu brain thermal tunnel (ABTT) temperature signals to determine a user's core body temperature and travel route, allowing for the pre-adjustment of structure elements like HVAC, lights, and appliances based on the user's estimated arrival time and physical condition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing systems control environmental conditions based on distance from structure, then basic automation is achieved, but they cannot dynamically adjust based on user's core body temperature and estimated time of arrival
Solution Approach 1:
The system performs preliminary actions by pre-adjusting environmental conditions (HVAC, lighting, appliances) before the user arrives at the structure. The processor calculates estimated time of arrival based on location data and route information, then proactively modifies environmental parameters in advance, allowing the user to experience optimal conditions upon arrival without manual intervention.
Solution Approach 2:
The system implements feedback by continuously monitoring the user's core body temperature via the temperature sensor, tracking location through the location device, and adjusting environmental conditions based on this real-time data. The processor receives ongoing temperature signals and location updates, dynamically modifying HVAC and other environmental controls to maintain optimal conditions as the user approaches and enters the structure.
2Ease of operation
If the system pre-adjusts environmental conditions based on user data, then user comfort is improved, but energy consumption increases
Solution Approach 1:
The system performs preliminary adjustments to environmental conditions only when needed - specifically when the user is approaching the structure and will arrive within a calculated time window. The processor determines estimated time of arrival and activates HVAC and other systems in advance of arrival, then deactivates or reduces them when the user has arrived or is delayed, avoiding unnecessary energy consumption while maintaining comfort.
Solution Approach 2:
The system dynamically adjusts environmental conditions based on real-time user data. The processor continuously receives temperature signals from the temperature sensor and location data from the location device, modifying HVAC settings, lighting, and appliance operation in response to changing conditions. This dynamic adjustment ensures energy is used only when and where needed to maintain optimal user comfort.
3Measurement precision
If the system uses temperature sensors to detect ABTT signals, then core body temperature measurement is achieved, but device complexity increases
Solution Approach 1:
The system uses the temperature sensor as an intermediary device to indirectly measure the user's core body temperature by detecting thermal signals from the ABTT (anterior brain thermal tunnel). Rather than requiring direct core temperature measurement, the sensor captures external thermal manifestations that correlate with core temperature, providing accurate measurement through a non-invasive intermediary approach.
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 system ensures optimal comfort and energy efficiency by pre-adjusting environmental conditions according to the user's core body temperature and travel status, minimizing energy waste and enhancing user experience upon arrival.
Implementation Method 1
at least one temperature sensor configured to receive signals from an Abreu brain thermal tunnel (ABTT) terminus of a user and configured to transmit temperature signals representative of the signals received from the ABTT terminus
Data Source
AI summary
A system for modifying controllable elements of a structure based on an array of conditions, particularly a distance of a user or operator from the structure, deviations from an expected travel path to the structure, activities conducted either along or while deviating from the expected travel path, traffic, a core body temperature of the user or operator, and other factors. The controllable structure elements can include, for example, heating and air conditioning (HVAC), alarm, lights, and appliances.