Premises Fire Protection Integration for Cross-System Alarm Analysis
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Solution Overview
Problem
Existing fire protection systems in premises lack sufficient data analysis capabilities to interact effectively with other systems like HVAC and access control, leading to inefficiencies and potential false alarms.
Innovation Solution
A method and system that selects fire protection system sensors in conjunction with elements from other premises systems, collects data, and analyzes it for correlations using AI and machine learning to derive actionable recommendations for system reconfiguration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fire protection systems operate independently without integrating with other subsystems, then system simplicity is maintained, but operational efficiency and safety optimization are reduced
Solution Approach 1:
The patent combines fire protection subsystem data with data from other premises subsystems (HVAC, access control, intrusion detection) into a unified analysis framework. The system collects and correlates data across multiple subsystems to identify patterns that indicate potential fire hazards or system optimization opportunities, thereby improving operational efficiency through integrated analysis.
Solution Approach 2:
The fire protection system is enhanced to perform multiple functions beyond traditional fire detection. It now analyzes data from various subsystems to provide predictive maintenance insights, optimize HVAC operations, coordinate with access control during emergencies, and generate comprehensive safety recommendations, making the system multi-functional and adaptable to different premises management needs.
2Reliability
If traditional fire protection systems are used without advanced data analysis, then system simplicity is maintained, but false alarms cannot be reduced
Solution Approach 1:
The system implements feedback mechanisms where data from fire protection sensors is continuously analyzed alongside data from other subsystems. The analysis identifies correlations and patterns that provide feedback on potential false alarm conditions, allowing the system to distinguish between actual fire hazards and spurious signals by comparing multiple data sources and temporal patterns.
Solution Approach 2:
The system performs preliminary analysis of data patterns before triggering alarm conditions. By continuously monitoring and analyzing correlations between fire protection data and other subsystem data in advance, the system can predict potential false alarms and take preventive actions or adjust sensitivity thresholds before actual false alarms occur.
3Productivity
If fire protection systems lack integration with other subsystems, then ease of operation is maintained, but system optimization opportunities are lost
Solution Approach 1:
The integrated system automatically collects, analyzes, and generates optimization recommendations without requiring manual intervention. The system self-manages the complex task of correlating data across multiple subsystems, performing predictive analytics, and generating actionable insights, thereby maintaining ease of operation while delivering advanced optimization capabilities.
Data Source
AI summary
A premises system may select a sensor of a fire protection subsystem. A premises system may select one or more elements of the one or more other subsystems. A premises system may collect data across the selected sensors and selected elements for a period of time. A premises system may analyze the collected data for correlation among the selected sensors and selected elements.