Building automation monitoring using artificial intelligence supported by rules and/or analytics

A method for monitoring in a building automation system, the method comprising:

• detecting, by a rules engine executed by a processor for a building management system, abnormal performance of the building automation system;
• aggregating, by the processor of the building management system, performance statistics of the building automation system;
• populating context of a prompt for a large language model, the prompt being for monitoring the building automation system, the context being the abnormal performance and the performance statistics;
• and
• storing the prompt with the populated context in a queue for querying a large language model.

A building automation monitoring system comprising:

• a building management system configured to generate a list of faults in operation of a building automation system and to generate statistics for the operation of the building automation system;
• a processor configured to populate context in a large language model prompt, the context populated with the list of faults and the statistics;
• and
• a memory configured to store the prompt as populated with the context.