Building management system with natural language model-based data structure generation

A building management system, comprising:

• one or more processors to:
• receive an unstructured query in the form of at least one of a natural language representation or a semantic representation, the unstructured query including a request for one or more of lineage information, availability information, or quality information regarding a category of data associated with the building management system, the category of data relating to one or more of equipment failure, sustainability, comfort, operations, energy, air quality, or net-zero emissions;
• apply the unstructured query as input to a machine learning model, the machine learning model fine-tuned using training data comprising sample data and metadata from a plurality of data sources of the building management system, wherein the machine learning model comprises at least one of a large language model (LLM), a generative artificial intelligence (AI) model, or a neural network comprising a transformer;
• generate, using the machine learning model, an output indicating the one or more of the lineage information, the availability information, or the quality information regarding the category of data;
• and
• present, using at least one of a display device or an audio output device, the output.

A method, comprising:

• retrieving, by one or more processors, a plurality of data elements from at least one data source coupled with a building management system, the plurality of data elements comprising at least one of sample data regarding one or more items of equipment associated with the building management system or metadata indicative of a definition of the sample data;
• structuring, by the one or more processors, the plurality of data elements into training data for a machine learning model by mapping the plurality of data elements to a building knowledge graph data structure corresponding to the one or more items of equipment;
• and
• applying, by the one or more processors as input to the machine learning model, the training data to configure the machine learning model according to the training data.