Fire Control Rule Generation for Faster Facility Commissioning
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Solution Overview
Problem
The creation and testing of fire system rules for facilities are time-intensive and laborious processes, requiring manual input and complex rule programming by commissioning engineers, especially in larger facilities with multiple zones and floors.
Innovation Solution
A computing device generates fire system rules using textual or graphical prompts, allowing users to easily input and test rules, transmitting them to a fire control panel, thereby simplifying the process and reducing manual effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual programming of fire system rules is performed by commissioning engineers, then the rules can be customized for specific facility needs, but the process becomes time-intensive and laborious
Solution Approach 1:
The system performs automatic rule generation using computational algorithms that analyze facility data and generate fire system rules autonomously, eliminating the need for manual programming by commissioning engineers while still providing customized rules specific to each facility's configuration and requirements
Solution Approach 2:
The system pre-generates fire system rules during the commissioning phase by automatically analyzing facility layouts, detector placements, and safety requirements, so that rules are ready before actual system deployment, saving time during installation and testing phases
2Reliability
If comprehensive testing of fire system rules is conducted to identify faulty devices, then system reliability improves, but the complexity of the process increases
Solution Approach 1:
The system implements automated testing that provides real-time feedback on rule performance and device functionality, allowing commissioning engineers to identify faulty devices and incorrect rules through systematic testing protocols that guide them through the process step-by-step, reducing the perceived complexity while maintaining thoroughness
Solution Approach 2:
The system performs targeted testing on specific rules and devices that are most critical or likely to have issues, rather than requiring exhaustive testing of every possible scenario, thereby achieving sufficient reliability without overwhelming complexity in the testing process
Data Source
AI summary
Methods, devices, and systems for fire system rule generation are described herein. In some examples, one or more embodiments include a memory, and a processor to execute instructions stored in the memory to receive a rule input condition and a rule output condition for a fire control system of a facility, generate a fire system rule for the facility based on the rule input condition and the rule output condition, and transmit the fire system rule to a fire control panel of the fire control system of the facility.


