Cloud Fire Protection System Distributed Control
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Solution Overview
Problem
Conventional fire alarm systems are vulnerable to single-point failures, as they rely on a centralized fire alarm control panel that can become unavailable or malfunction, disrupting the detection and notification of fire events.
Innovation Solution
A decentralized cloud-based fire protection system where initiating devices communicate directly with a cloud platform over the Internet, eliminating the need for a centralized control panel and ensuring high reliability through redundant pathways and machine learning for adaptive fire detection algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized fire alarm control panel is used, then the system structure is simple and easy to operate, but the system reliability deteriorates due to single-point failure
Solution Approach 1:
The patent divides the centralized control panel into multiple distributed control nodes that operate independently. Each node can process local alarm signals and control local notification devices, eliminating the single-point failure vulnerability while maintaining system functionality through distributed architecture.
Solution Approach 2:
The patent introduces a communication network as an intermediary between control nodes and notification devices. This allows control signals to be routed through multiple paths, so if one communication channel fails, alternative routes can maintain system operation and reliability.
2Reliability
If a decentralized cloud-based system is used, then the system reliability is improved through distributed architecture, but the device complexity increases
Solution Approach 1:
The patent merges the control logic and processing functions into a unified cloud-based platform that communicates with simple local devices. This concentrates system complexity in the cloud infrastructure while keeping edge devices simple, achieving high reliability without significantly increasing on-premise device complexity.
Data Source
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AI summary
A system performs cloud-based fire protection. The system receives, by a cloud platform, data from one or more initiating devices. The system stores the data in a persistent data storage of the cloud platform over a period of time. The system applies machine learning to the data to build or adjust a predictive detection model. The system processes, by computing resources of the cloud platform, the data using the predictive detection model to determine an existence of a safety event. The system then transmits, to at least one notification device, an event notification in response to the existence of the safety event.