Automated Security System Commissioning via Building Information Models
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Solution Overview
Problem
Commissioning security systems is laborious and time-consuming, requiring manual rule creation and configuration data entry by engineers, necessitating simpler and faster methods.
Innovation Solution
Systems and methods for automatically defining and generating cause and effect rules in security systems using graphical user interfaces, leveraging building information models to identify zones and evacuation routes, and simulating rules for real-time alarm notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual rule creation and configuration data entry is used, then security system commissioning can be completed with basic tools, but the process becomes laborious and time-consuming
Solution Approach 1:
The system enables automatic rule generation where the security system itself creates cause-and-effect rules based on building information models and sensor data, eliminating the need for manual configuration by commissioning engineers. The system serves itself by automatically defining zones, detecting threats, and generating appropriate alarm notifications without human intervention.
Solution Approach 2:
Building information models are created and stored in advance before commissioning, containing pre-defined zone locations, sensor placements, and evacuation route information. This preliminary preparation allows the system to automatically generate commissioning data and rules without requiring manual entry during the actual commissioning process.
2Loss of time
If automated rule generation is implemented, then commissioning time is reduced, but system complexity increases requiring building information models and simulation capabilities
Solution Approach 1:
Building information models serve as an intermediary data structure that bridges the gap between physical building layout and security system configuration. These models contain all necessary spatial and functional information, allowing automated rule generation without requiring complex direct programming or manual configuration of each security parameter.
Solution Approach 2:
Manual mechanical processes of rule creation and data entry are replaced with automated computational processes. The system uses algorithms to automatically generate cause-and-effect rules, simulate alarm scenarios, and configure security parameters based on building information models, eliminating the need for manual commissioning procedures.
Data Source
AI summary
Systems and methods are provided that can include displaying a floor plan on a graphical user interface, receiving a first user input identifying a respective location of each of a plurality of zones of the secured area via the floor plan displayed on the graphical user interface, receiving a second user input identifying a respective evacuation route to an emergency exit from each the plurality of zones via the floor plan displayed on the graphical user interface, identifying a respective distance factor from each of the plurality of zones to the emergency exit via the respective evacuation route, identifying a respective relative distance from each of the plurality of zones to a selected one of the plurality of zones, and multiplying the respective distance factor by the respective relative distance for each of the plurality of zones to identify a respective alarm sequence factor.