Central Utility Plant Simulation From Natural Language Input

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Solution Overview

Problem

Current systems face challenges in generating precise and timely data for managing and optimizing central utility plants, particularly in simulating and configuring equipment, due to technical complexity and the need for manual intervention, which hinders efficient operation and resource optimization.

Innovation Solution

A method utilizing a generative AI model, such as a pretrained generative transformer, to receive user input and generate a central utility plant model from unstructured natural language, allowing for automated simulation configuration and response generation without manual configuration, facilitating efficient data processing and simulation execution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual configuration and simulation setup is used for central utility plants, then precision and control over plant models can be achieved, but time consumption and operational complexity increase significantly

Engineering Contradiction:

Improveprecision of plant model dataVSAvoidtime for generating plant simulation data

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system enables automated self-service by using generative AI models to automatically create plant models, identify equipment, and configure simulations from natural language inputs, eliminating the need for manual configuration while maintaining data precision

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical configuration processes with AI-based automated systems that generate plant models and simulation data through machine learning algorithms, significantly reducing time consumption while preserving accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If manual configuration and simulation setup is used for central utility plants, then control over plant models can be achieved, but device complexity and ease of operation worsen due to technical expertise requirements

Engineering Contradiction:

Improveease of configuring plant simulationsVSAvoidcomplexity of plant model configuration

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system performs automated self-service by automatically generating plant models and configurations from natural language inputs, eliminating the need for users to navigate complex technical interfaces or possess specialized knowledge

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces complex manual configuration interfaces with AI-based natural language processing systems, simplifying the user interaction model while handling the underlying complexity through machine learning

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If extensive technical expertise is required for plant simulation, then precision and control can be maintained, but productivity and accessibility decrease

Engineering Contradiction:

Improvespeed of generating plant simulation dataVSAvoidaccuracy of plant model generation

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The AI system performs automated self-service by independently generating accurate plant models and simulation data without human intervention, achieving both high productivity and maintained precision through advanced machine learning capabilities

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20240385576A1Building management system with plant simulation generation

Publication Date: 2024.11.21 TYCO FIRE & SECURITY GMBH

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.