Configuring an event system using generated device labels
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Solution Overview
Problem
Configuring event systems in facilities, such as commercial buildings and hospitals, requires expertise and is costly due to the need for experienced professionals to determine device types, quantities, and locations, which can be time-consuming and expensive.
Innovation Solution
Automating the configuration of event systems using existing configuration data and facility data, with an AI engine generating device labels that align with existing labeling conventions from systems like HVAC and BMS, allowing unskilled installers to set up the systems with minimal expert support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If expert professionals manually configure event systems to ensure proper device selection, quantity, and location, then system reliability and compliance are improved, but installation cost and time increase significantly
Solution Approach 1:
The system performs preliminary configuration actions by automatically determining device types, quantities, and locations before installation begins. The AI engine analyzes facility data and generates complete configuration plans including device labels, quantities, and locations in advance, eliminating the need for manual expert analysis during the installation process.
Solution Approach 2:
The system copies and adapts configuration patterns from existing event systems and facility management systems. By analyzing labeling conventions from HVAC and BMS systems, the AI engine generates device labels that follow established facility-wide patterns, ensuring consistency without requiring expert knowledge of each specific facility's conventions.
2Reliability
If expert professionals manually configure event systems to ensure compliance with safety standards, then system reliability is improved, but installation cost increases
Solution Approach 1:
The configuration system performs self-service by automatically analyzing facility data, determining appropriate device configurations, and generating compliant installation plans without requiring expert intervention. The AI engine independently evaluates safety requirements and generates configurations that meet standards, eliminating the need to pay expert professionals for their time and expertise.
Solution Approach 2:
The system replaces the mechanical process of manual expert analysis and configuration with an automated AI-based system. The AI engine processes facility data, applies safety standard rules, and generates configurations automatically, substituting human expert labor with computational processes that are both compliant and cost-effective.
3Adaptability or versatility
If existing labeling conventions from HVAC and BMS systems are adopted for event system devices, then integration and identification consistency are improved, but the complexity of aligning different labeling systems increases
Solution Approach 1:
The AI engine provides universal labeling by analyzing multiple existing systems (HVAC, BMS, and event systems) and generating unified device labels that work across all facility management contexts. The system identifies common patterns and conventions across different system types and creates labels that serve multiple purposes: event system identification, facility location mapping, and integration with existing facility management practices.
Data Source
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AI summary
Devices, systems, and methods for configuring an event system using generated device labels are described herein. In some examples, one or more embodiments include receiving existing configuration data, wherein the existing configuration data is descriptive of configurations of existing event systems, receiving facility data, wherein the facility data is descriptive of a particular facility, determining a configuration of an event system in the particular facility based on the existing configuration data and the facility data, and installing the event system in the facility according to the determined configuration.