Agent-Based Building Entity Ingestion for Time-Series Data 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 lack efficient methods for data communication and control across various physical entities and spaces.
Innovation Solution
The implementation of an agent-entity based communication system, where agents are generated to communicate and perform operations on physical building entities through agent communication channels, allowing for data ingestion and entity creation using time series data, enabling efficient data management and control within the building management system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional building management systems are used to collect and manage data from building equipment, then data collection capability is maintained, but data analysis efficiency deteriorates due to the exponential increase in data volume
Solution Approach 1:
The patent segments the building management system into multiple intelligent agents, each responsible for specific building entities (equipment, spaces, systems). This segmentation allows distributed data processing and analysis, improving overall data analysis efficiency despite increasing data volume from more building entities.
Solution Approach 2:
The patent introduces an entity-relationship model as an intermediary layer between raw data and analysis processes. This model structures building entities and their relationships, enabling more efficient data organization, retrieval, and analysis, thus improving productivity in handling exponential data growth.
2Adaptability or versatility
If the number of building entities and equipment is increased to enhance monitoring capability, then system comprehensiveness is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal entity-relationship model that can represent diverse building entities (equipment, spaces, systems) and their relationships in a unified framework. This universal model enables comprehensive monitoring of increased building entities without proportionally increasing system complexity, as the same modeling principles apply across different entity types.
Solution Approach 2:
The patent implements a dynamic agent-based architecture where agents can be created, modified, or removed based on building entities. This dynamic structure allows the system to adapt to changing building configurations and increased entity counts without requiring complete system redesign, thus managing complexity while enhancing comprehensiveness.
3Productivity
If agent-based communication channels are implemented for data communication, then data communication efficiency is improved, but system complexity increases
Solution Approach 1:
The patent creates virtual copies of building entities as software agents that communicate through standardized channels. These agent copies enable efficient data communication by representing physical entities in a standardized digital format, improving communication efficiency while the standardization actually reduces rather than increases system complexity.
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.