Semantic BMS Site Modeling for Natural Fault Detection
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Solution Overview
Problem
Building management systems (BMS) lack a standardized approach to represent and manage building equipment, spaces, and points, making it difficult for users to interact effectively and detect faults in a semantic or natural manner.
Innovation Solution
A BMS that employs a semantic model by defining ontology data models, classifying BMS objects based on equipment and point definitions, and using user-defined object identifiers to generate a semantic site model for controlling building equipment and detecting faults.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a standardized semantic model is implemented in BMS, then user interaction effectiveness and fault detection capability are improved, but system complexity increases
Solution Approach 1:
The patent introduces a semantic model as an intermediary layer between users and the BMS infrastructure. This semantic model includes ontology data models that define standardized concepts, relationships, and rules, allowing users to interact with building systems using natural language or semantic queries rather than dealing with complex technical protocols and device-specific interfaces directly
Solution Approach 2:
The semantic model serves multiple functions simultaneously: it standardizes data representation across different building systems, enables natural language querying, supports fault detection through standardized rules, and provides a common framework for integration. This multi-functionality reduces the need for separate solutions for each problem area
2Productivity
If semantic model integration is added to BMS, then fault detection efficiency is improved, but processing time increases
Solution Approach 1:
The patent pre-defines ontology data models, conceptual schemas, and fault detection rules before actual fault detection occurs. These semantic frameworks are established in advance, allowing the system to quickly match incoming data against predefined patterns and rules rather than creating analysis frameworks in real-time, thus improving detection efficiency while minimizing processing overhead
Data Source
AI summary
A building management system (BMS) includes memory devices having instructions stored thereon that, when executed by processors, cause the processors to perform operations including obtaining a BMS ontology data model defining a plurality of BMS model classes and relationships between the BMS model classes, assigning a BMS model class selected from the plurality of BMS model classes to a plurality of BMS object definitions, generating a semantic site model by classifying a plurality of BMS objects associated with a building site according to the BMS object definitions and the BMS model classes assigned thereto, and transmitting a notification using the semantic site model.