Smart Entity Graph for Building Data Analysis and Control
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Solution Overview
Problem
The increasing amount of data from smart building environments poses a challenge for effective analysis, as existing building management systems struggle to efficiently manage and interpret data from various sources, including sensors and devices, leading to inefficiencies in monitoring and control.
Innovation Solution
A building management cloud computing system is developed, which generates a database of interconnected smart entities, allowing for the reception, processing, and analysis of data from diverse sources, including sensors and access control devices, to provide real-time insights and recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a traditional building management system collects data from multiple sensors and devices, then the amount of collected data increases, but the system's ability to efficiently analyze and manage the data deteriorates
Solution Approach 1:
The patent segments the building management system into multiple specialized modules including data collection module, data processing module, entity relationship management module, and analysis module. Each module handles specific aspects of data management, allowing parallel processing and improving overall analysis efficiency while managing increasing data volumes from multiple sensors and devices.
Solution Approach 2:
The patent introduces an intermediary data processing layer that sits between data collection from sensors and the final analysis system. This intermediary layer pre-processes, filters, and organizes raw data into structured formats, reducing the complexity of data that needs to be analyzed and improving the efficiency of the analysis system.
2Adaptability or versatility
If a building management system monitors more building functions and devices, then the comprehensiveness of monitoring improves, but the system complexity increases
Solution Approach 1:
The patent implements a universal data processing framework that can handle multiple types of building functions and devices through a common architecture. The system uses standardized data formats and processing routines that work across different sensor types and building subsystems, allowing comprehensive monitoring without proportionally increasing system complexity.
Solution Approach 2:
The patent organizes the building management system using a nested hierarchical structure where general-purpose processing components contain specialized sub-components. The system has layers of abstraction with general data processing routines that call specialized handling functions for specific device types, allowing comprehensive monitoring capabilities while maintaining manageable system complexity through modular organization.
Data Source
AI summary
One or more non-transitory computer readable media contain program instructions that, when executed by one or more processors, cause the one or more processors to perform operations including: generating a database of interconnected smart entities including object entities representing each of a plurality of objects associated with one or more buildings and the plurality of objects each representing a space, person, building subsystem, and/or device, and data entities representing data generated by the objects, the smart entities being interconnected by relational objects indicating relationships between the object entities and the data entities; receiving data from a first object of the plurality of objects; determining a second object from a relational object for the first object based on the received data; and modifying a data entity connected to an object entity of the second object within the database of smart entities based on the received data for the first object.