Indoor environmental weighted preference management
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Solution Overview
Problem
Building occupants often have unmet preferences for indoor environmental conditions such as temperature, humidity, and noise levels, as pre-determined schedules set by facility managers do not account for individual preferences or complaint histories, leading to suboptimal comfort.
Innovation Solution
A weighted preference management system that determines and adjusts building system set points based on occupant preferences weighted by complaint history and staying time, using a processor to operate control devices for optimal indoor environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If pre-determined schedules are used to set indoor environmental conditions, then facility management is simplified and energy consumption is reduced, but individual occupant preferences and comfort are not met
Solution Approach 1:
The system collects feedback from multiple sources including occupant preferences, complaint histories, and staying time data to continuously adjust and optimize environmental set points. This feedback loop enables the system to adapt to individual occupant needs while maintaining automated operation.
Solution Approach 2:
The system transitions from static pre-determined schedules to dynamic weighted set points that automatically adjust based on real-time occupancy patterns, individual preferences, and complaint histories. The weighted calculation methodology enables continuous adaptation without manual intervention.
2Adaptability or versatility
If individual occupant control access is provided, then personal comfort preferences are met, but system complexity and energy consumption increase
Solution Approach 1:
The system automatically performs the function of individualized environmental control by calculating weighted set points based on occupant data without requiring direct user interaction or manual adjustments. Occupants benefit from personalized environmental control through automated processing of their preference data and complaint histories.
Solution Approach 2:
A single automated system performs multiple functions: collecting occupant preferences, tracking complaint histories, calculating weighted set points, and controlling environmental conditions. This multi-functional approach eliminates the need for separate control interfaces for each occupant while still providing personalized comfort.
3Use of energy by stationary object
If pre-determined schedules are used, then energy consumption is reduced, but indoor environmental comfort and occupancy satisfaction deteriorate
Solution Approach 1:
The system uses dynamic weighted set points that adapt to actual occupancy patterns and individual preferences, ensuring energy is consumed only when and where needed while maintaining optimal comfort. The automated calculation adjusts set points in real-time based on staying time and preference data.
Solution Approach 2:
The system optimizes energy consumption by dynamically changing environmental parameters (temperature, humidity, lighting) based on weighted calculations of occupant needs. This allows the system to maintain comfort satisfaction while reducing energy waste in unoccupied or less-occupied spaces.
Data Source
AI summary
A method and system for indoor environmental weighted preference management are provided. The method includes determining, by a processor of a weighted preference processing system, a plurality of occupant indoor environmental setting preferences for a plurality of users at a location and a complaint history of the users. The processor of the weighted preference processing system determines one or more weighted set points for at least one building system operable to adjust an indoor environment at the location based on the occupant indoor environmental setting preferences for the users as weighted with respect to the complaint history of the users. One or more control devices of the at least one building system are operated based on the one or more weighted set points.


