Environmental Sensor Feedback for Personalized Comfort Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing load control systems in user environments, such as residences or office buildings, often rely on user-independent policies that do not account for individual occupant preferences, leading to suboptimal environmental conditions.
Innovation Solution
A sensor device measures environmental conditions like temperature, humidity, and light intensity on multiple planes, transmitting data to a computing device which collects user feedback to build personalized comfort profiles, adjusting load control devices accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If user-independent policies are used to control environmental conditions, then system complexity is reduced and ease of operation is improved, but adaptability to individual occupant preferences deteriorates
Solution Approach 1:
The system automatically collects occupancy data from sensors and autonomously generates personalized environmental profiles without requiring manual user input. The sensors detect occupancy patterns and the system self-adjusts environmental settings based on detected preferences, eliminating the need for users to manually configure system parameters.
Solution Approach 2:
The system continuously monitors environmental conditions and occupancy patterns through sensors, then uses this feedback to dynamically adjust environmental settings. The feedback loop enables the system to learn from occupancy behavior and automatically optimize environmental conditions for individual users over time.
2Adaptability or versatility
If personalized environmental profiles are created based on occupancy patterns, then adaptability to occupant preferences is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system divides the environment into multiple zones with different sensors monitoring specific areas. Each zone can independently generate environmental profiles based on local occupancy patterns, reducing the complexity of centralized processing and allowing parallel data collection and analysis across multiple segments.
Solution Approach 2:
The system changes operational parameters such as sampling rates, measurement intervals, and data collection frequency based on occupancy levels and environmental conditions. During high occupancy periods, the system increases monitoring frequency, while during low occupancy it reduces processing demands, dynamically adjusting parameters to balance adaptability with computational efficiency.
Data Source
AI summary
A device located within a user environment may be used to measure one or more environmental conditions within the user environment. For example, the sensor device may measure the temperature, humidity, light intensity, color temperature, and/or the like. The sensor device may periodically measure the environmental conditions, and may periodically transmit the values of the measured environmental conditions to a computing device. A mobile device associated with a user may receive the measured values from the sensor device when the mobile device is within range of the sensor device, and may present a survey to the user that includes one or more questions that prompt the user to report their comfort level with respect to the measured environmental conditions. The mobile device and/or another computing device may build a profile for the location and/or the user based on the values and the user's reported comfort levels.