Multi-site building management system
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Solution Overview
Problem
It is challenging for building management systems to identify and address operational inefficiencies across multiple building sites, especially when environmental conditions differ significantly, as existing methods struggle to make apples-to-apples comparisons and isolate inefficiencies due to varying outdoor conditions and infrastructure differences.
Innovation Solution
A system and method that involves receiving and normalizing sensor data from multiple building sites, comparing it to account for outdoor conditions and building characteristics, and using a cloud server to identify anomalies and provide recommendations for improvement, while ignoring occupant-related anomalies when appropriate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system normalizes sensor data to account for environmental and building characteristics, then the accuracy of cross-building comparisons improves, but the system complexity increases
Solution Approach 1:
The system applies self-service by automatically collecting building characteristic data (age, construction type, climate zone) and environmental condition data, then autonomously performing normalization calculations without requiring manual intervention. This reduces the operational complexity burden despite the sophisticated normalization logic, as the system serves itself by gathering and processing the necessary information.
2Measurement precision
If the system collects and processes data from multiple building sites with different characteristics, then the ability to identify operational inefficiencies improves, but the time required for data processing and analysis increases
Solution Approach 1:
The system applies preliminary action by pre-calculating and storing normalization parameters for each building based on their characteristics (age, construction type, climate zone) before actual data comparison occurs. This preparation work is done in advance, so when sensor data arrives from multiple buildings, the normalization and comparison processes can proceed quickly without time-consuming calculations during the analysis phase.
Data Source
AI summary
Methods and systems for controlling a building. An illustrative method includes receiving sensor data from one or more sensors of the building, using the received sensor data to control one or more building management components to control one or more environmental conditions within the building, normalizing the sensor data and storing the normalized sensor data, comparing the normalized sensor data with normalized sensor data from one or more other buildings to identify one or more anomalies associated the building, and providing a recommended action to improve at least one of the one or more identified anomalies of the building.