Intelligent Building Management System for Multi-Zone Tracking
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Solution Overview
Problem
Existing intelligent building management systems lack comprehensive control parameters, such as population density and activity level monitoring, which limits their ability to effectively manage and control building environments across multiple areas or floors.
Innovation Solution
An integrated intelligent building management system that includes positioning devices for tracking individuals, intelligent building kits for data processing, and an edge computation module for real-time environmental optimization, enabling comprehensive tracking and control across multiple areas and floors based on population density and activity levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If positioning devices are deployed in each area to track individuals, then tracking precision and coverage are improved, but device complexity and system cost increase
Solution Approach 1:
The building is divided into multiple areas, each equipped with independent positioning devices that track individuals within their respective zones. This segmentation allows precise local tracking while distributing system complexity across multiple simple units rather than requiring one complex centralized system.
Solution Approach 2:
The positioning devices are designed with universal functionality to operate across different areas and floors using common protocols and standards. This multi-functionality reduces overall system complexity by using standardized components throughout the building rather than area-specific custom solutions.
2Area of stationary object
If multiple positioning devices are used across different areas and floors, then tracking coverage is improved, but data processing complexity increases
Solution Approach 1:
Data from multiple positioning devices across different areas and floors is merged into a unified tracking system. The system combines individual area data streams into comprehensive building-wide tracking information, achieving full coverage while managing complexity through integrated processing.
Solution Approach 2:
An intermediary data processing layer is introduced between the positioning devices and the control system. This intermediary layer standardizes and preprocesses data from multiple sources before transmission, reducing the complexity burden on the final control system while maintaining comprehensive coverage.
3Productivity
If real-time environmental control is implemented based on population density and activity level, then building management efficiency is improved, but energy consumption increases
Solution Approach 1:
Environmental control parameters such as temperature and lighting are dynamically adjusted based on real-time population density and activity level measurements. The system continuously adapts control settings to current conditions, improving management efficiency while avoiding energy waste from static over-provisioning.
Solution Approach 2:
The system implements feedback loops where environmental control decisions are based on real-time sensing of population density and activity levels. This feedback mechanism ensures energy is consumed only when and where needed, balancing management efficiency with energy conservation by responding to actual building conditions.
Data Source
AI summary
An integrated intelligent building management system includes: a positioning device, recording and uploading a movement information and a device-assigned ID of a target person; an intelligent building kit, computing a tracking information of the target person in a monitoring range based on multiple location coordinates in multiple time periods, and transforming multiple device-assigned IDs to the same kit-assigned ID when multiple device-assigned IDs are determined to be corresponding to the same target person based on the tracking information, and uploading the kit-assigned ID and the movement information; and an intelligent building system, computing the tracking information of the target person in a monitoring range based on the location coordinates in multiple time periods, and establishing an information connection of multiple kit-assigned IDs when the multiple kit-assigned IDs are determined to be corresponding to the same target person based on the tracking information.