Digital Twin Agent Mapping for Building Entity Time-Series Data
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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 lack efficient methods to communicate and manage data from various physical entities and spaces, leading to inefficiencies in data ingestion and entity creation.
Innovation Solution
The implementation of an agent-entity based communication and control system, where agents are generated to communicate data and perform operations on physical building entities through agent communication channels, enabling data ingestion and entity creation using time series data, and managing relationships between entities to optimize building management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional building management systems are used to collect and analyze data from building entities, then data collection capability is maintained, but data analysis efficiency deteriorates due to the exponential increase in data volume
Solution Approach 1:
The system segments the building management functionality into multiple autonomous agents, each responsible for specific building entities or functions. This segmentation allows parallel processing of data from different sources, improving overall data analysis efficiency despite increasing data volume from smart building devices
Solution Approach 2:
The patent introduces an agent-based intermediary layer between building entities and the central management system. These agents preprocess, filter, and manage data locally before transmission, reducing the computational burden on centralized systems and improving data analysis efficiency
2Productivity
If agents are generated for each physical building entity to enable autonomous communication and control, then operational efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements universal agent templates that can represent multiple types of building entities with similar characteristics. These multi-functional agent templates reduce system complexity by avoiding the need to create entirely new agent types for each entity, while still enabling autonomous operation and improving operational efficiency
Solution Approach 2:
The system uses configurable parameters within agent templates to adapt to different building entities without changing the underlying agent structure. This parameter-based customization allows operational efficiency to be improved through entity-specific behavior while maintaining system complexity at manageable levels
3Speed
If agent communication channels are established for real-time data exchange between agents, then real-time control capability is enhanced, but communication overhead increases
Solution Approach 1:
The patent implements periodic communication between agents where data exchange occurs at predetermined intervals rather than continuously. This periodic action maintains real-time control capability for critical operations while significantly reducing communication overhead and energy consumption during stable operating conditions
Data Source
AI summary
A building management system includes one or more memory devices configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive a publication by an agent on an agent communication channel, the publication comprising timeseries data, identify, based on the publication, an object entity of an entity database associated with the agent, wherein the entity database includes one or more object entities and relationships between the one or more object entities and one or more data entities, identify a data entity related to the object entity based on a relationship of the relationships relating the object entity and the data entity, and ingest the timeseries data into the data entity.