Central Utility Plant Modeling From Natural Language Input
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Solution Overview
Problem
Current systems face challenges in generating precise and timely data for managing central utility plants, particularly in simulating and configuring operations efficiently, due to complexities in user interfaces and the need for manual setup, which can lead to incorrect or misleading results and require significant computational resources.
Innovation Solution
The implementation of a method using generative AI models, specifically generative large language models (LLMs), to receive user input, identify equipment, generate plant models, and run simulations, allowing for the creation of central utility plant models from unstructured natural language inputs without manual configuration, and providing responses to user queries based on these simulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual configuration and setup methods are used for central utility plant models, then users can have direct control over model creation, but the process requires significant time and computational resources, and may lead to incorrect results
Solution Approach 1:
The patent replaces manual mechanical configuration processes with an AI-based automated system. The AI model generates central utility plant models by processing natural language inputs and executing simulations automatically, eliminating the need for manual model setup and configuration by users.
Solution Approach 2:
The system enables self-service model generation where the AI autonomously creates accurate plant models without requiring user expertise in model configuration. The AI handles the entire process from input processing to simulation execution, serving itself to generate reliable results independently.
2Ease of operation
If complex user interfaces and manual setup procedures are implemented, then users can configure models in detail, but the device complexity increases and ease of operation decreases
Solution Approach 1:
The patent replaces complex manual configuration interfaces with an AI-based automated system. Users simply provide natural language inputs describing desired plant characteristics, and the AI handles all complex model generation, configuration, and simulation execution tasks automatically.
Solution Approach 2:
The AI model serves as an intermediary between user intent and complex plant model configuration. It translates simple natural language descriptions into detailed technical models and simulation parameters, bridging the gap between user simplicity and system complexity.
3Productivity
If traditional simulation execution methods are used, then comprehensive analysis can be performed, but significant computational resources and time are required
Solution Approach 1:
The AI model performs preliminary analysis and optimization before executing full simulations. It pre-processes input data, identifies key parameters, and configures simulations to run efficiently, reducing the computational burden and time required for comprehensive plant analysis.
Data Source
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AI summary
A method includes receiving, by one or more processors, user input describing characteristics of a central utility plant for a building, the user input comprising textual or audible input, identifying, by the one or more processors, a plurality of pieces of building equipment satisfying the characteristics of the user input using an AI model based on the user input, and generating, by the one or more processors using the AI model, a central utility plant model for the central utility plant based on the textual or audible input. The central utility plant model satisfies the characteristics and includes the identified pieces of building equipment.