Generative AI Interface Server for Building Management
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Solution Overview
Problem
Current methods for creating user interfaces in building management systems are complex, time-consuming, and costly, requiring teams of UI/UX programmers and involving intricate web frameworks, making adjustments and maintenance cumbersome.
Innovation Solution
The implementation of a system that uses generative AI models, such as generative LLMs, to automatically generate user interfaces based on user prompts, eliminating the need for complex UI design processes and reducing the time and resources required for interface creation by dynamically determining the format and content of the output user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional methods are used to create user interfaces in building management systems, then the interfaces can be customized and controlled, but the development process becomes complex and time-consuming
Solution Approach 1:
The patent replaces the mechanical system of manual UI development with web frameworks and manual coding processes with an AI-based generative system. The generative AI model automatically creates user interfaces from natural language prompts or data schemas, substituting the manual mechanical process of UI design and coding with an automated intelligent system that reduces complexity and development time
Solution Approach 2:
The system enables self-service UI generation where the generative AI model autonomously creates user interfaces without requiring teams of UI/UX programmers. The model takes prompts or data schemas as input and automatically generates the corresponding UI components, allowing the system to serve itself in the UI creation process rather than relying on external human expertise
2Productivity
If traditional UI development teams are used, then quality control is possible, but the cost and time required for interface creation increase
Solution Approach 1:
The system performs preliminary action by pre-training the generative AI model on extensive UI design patterns, frameworks, and best practices before actual UI generation is needed. This preliminary training phase enables the model to quickly generate high-quality interfaces during operation, significantly reducing the time required for UI creation compared to traditional development teams that must start from scratch for each interface
Solution Approach 2:
The generative AI model uses copying by learning from and replicating established UI patterns, components, and design conventions from training data. Instead of creating unique interfaces from scratch like traditional teams, the model copies and adapts proven UI patterns to new contexts, maintaining quality while dramatically reducing development time and effort
3Adaptability or versatility
If complex web frameworks are used for UI creation, then functional capabilities are achieved, but maintenance and adjustments become cumbersome
Solution Approach 1:
The system implements dynamics by enabling real-time generation and modification of user interfaces through the generative AI model. UIs can be dynamically created, updated, or adjusted by providing new prompts or modifying data schemas, allowing the system to adapt to changing requirements without the cumbersome maintenance processes associated with traditional fixed UI frameworks
Data Source
AI summary
Systems and methods are disclosed relating to building management systems with building equipment servicing. For example, a system can include at least one machine learning model configured using training data that includes at least one of unstructured data or structured data regarding items of equipment. The system can provide inputs, such as prompts, to the at least one machine learning model regarding an item of equipment, and generate, according to the inputs, responses regarding the item of equipment, such as responses for detecting a cause of an issue of the item of equipment, performing a service operation corresponding to the cause, or guiding a user through the service operation.