Building control system to operate a building based on characteristics of selected groups of building sensor fixtures
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Solution Overview
Problem
Building control systems lack the ability to effectively utilize data from sensors to optimize energy consumption, occupancy patterns, and space utilization across different groups within a building, leading to inefficiencies and deviations in energy use and occupant interaction.
Innovation Solution
A building control system that includes multiple sensor fixtures connected to a system controller, which determines and compares characteristics across groups, identifies deviations, and adjusts operating parameters to optimize energy efficiency, space usage, and occupant interaction by forming logical groups of loads and communicating bi-directionally over a network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If building control systems utilize data from sensors to optimize energy consumption and occupancy patterns, then energy efficiency and space utilization are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments building sensor fixtures into logical groups based on spatial proximity and functional characteristics. Each group is managed independently, allowing the system to process sensor data in manageable segments rather than handling all sensor data centrally, thus reducing overall system complexity while enabling energy optimization across different building zones.
Solution Approach 2:
The system adds a grouping dimension to the control architecture, organizing sensor fixtures into hierarchical groups (e.g., by floor, zone, or function). This dimensional organization allows energy optimization to occur at multiple levels simultaneously, reducing the computational burden on any single control point while improving overall energy efficiency.
2Productivity
If the system compares characteristics across selected groups of sensor fixtures and identifies deviations, then energy efficiency and space utilization are optimized, but measurement and data comparison complexity increase
Solution Approach 1:
The system applies local quality by comparing characteristics within and between specific groups of sensor fixtures rather than analyzing all fixtures uniformly. Each group is evaluated based on its own characteristics and deviations from expected patterns, allowing for localized optimization strategies that reduce overall data comparison complexity while improving space utilization insights.
Solution Approach 2:
The system performs preliminary grouping and characteristic analysis before full optimization processing. By pre-organizing sensor fixtures into logical groups and establishing baseline characteristics in advance, the system reduces the complexity of real-time data comparison and enables faster productivity optimization decisions.
3Adaptability or versatility
If the system dynamically selects characteristics and forms adaptive groups based on sensed data, then adaptability and energy efficiency are improved, but device complexity and processing requirements increase
Solution Approach 1:
The system implements dynamic group formation where sensor fixtures are automatically organized into logical groups based on real-time sensed data patterns and characteristics. These groups are not static but adapt dynamically as occupancy and environmental conditions change, allowing the system to maintain high adaptability while managing processing requirements through automated, rule-based grouping logic.
Solution Approach 2:
The system performs self-service by automatically selecting characteristics and forming groups based on sensed data without requiring manual configuration. The sensor fixtures and control system autonomously organize themselves into logical groups and adjust their characteristics based on observed patterns, reducing the need for complex external processing while maintaining high system adaptability.
Data Source
AI summary
Apparatuses, methods and systems of a building control system are disclosed. One building control system includes a plurality of building sensor fixtures, wherein at least one of the plurality of building sensor fixtures includes a sensor, a controller and a communication port. The building control system further includes a system controller. At least one of the system controller and one or more controllers of the plurality of building sensor fixtures is operative to determine a plurality of selected groups of the plurality of building sensor fixtures, compare a first characteristic between the plurality of the selected groups, and identify deviations of the compared first characteristic between the plurality of the selected groups.