Automated Security Rule Generation from BIM Data
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Solution Overview
Problem
Commissioning security systems is laborious and time-consuming, requiring manual rule creation and configuration data entry, necessitating simpler and faster methods for system setup and rule definition.
Innovation Solution
The implementation of a graphical user interface (GUI) on user terminals for defining and generating cause-and-effect rules in security systems, allowing users to visualize and customize security zones, evacuation routes, and simulate alarm responses, with automatic rule generation based on building data from BIM files.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual rule creation and configuration data entry are used for commissioning security systems, then the system can be configured with precise control over security parameters, but the commissioning process becomes laborious and time-consuming
Solution Approach 1:
The system performs preliminary actions by automatically generating cause-and-effect rules and configuration data before the commissioning engineer needs to use them. The automated rule generation engine pre-computes security rules based on building geometry and sensor locations, eliminating the need for manual rule creation during commissioning.
Solution Approach 2:
The patent replaces the mechanical manual process of rule creation with an automated computational system. The automated rule generation engine uses algorithms to generate security rules based on building data, substituting the manual mechanical process of engineers writing rules with an automated electronic system.
2Ease of operation
If manual rule creation is used for commissioning, then detailed control over security logic can be achieved, but the complexity of the commissioning process increases
Solution Approach 1:
The system performs self-service by automatically generating its own configuration data and security rules without requiring manual intervention. The automated rule generation engine independently computes rules based on building geometry and sensor placements, making the system self-configuring rather than requiring external manual configuration.
Solution Approach 2:
The commissioning system performs multiple functions through automation: it generates security rules, validates configurations, simulates alarm scenarios, and documents the commissioning process. This multi-functional approach simplifies the overall commissioning process by consolidating multiple manual tasks into a single automated system.
3Productivity
If automated rule generation is implemented, then commissioning time is reduced, but the ability to customize complex security logic may be limited
Solution Approach 1:
The system provides dynamic rule generation that adapts to different building geometries, sensor configurations, and security requirements. The automated rule generation engine can dynamically adjust the complexity and specificity of generated rules based on the particular commissioning scenario, maintaining flexibility while automating the process.
Solution Approach 2:
The system allows parameter changes in the generated rules by accepting various input parameters about building geometry, sensor locations, and security requirements. By changing these input parameters, the system generates customized rules appropriate for different scenarios, maintaining versatility through parameter variation rather than hard-coded logic.
Data Source
AI summary
Systems and methods are provided that can include receiving a plurality of cause and effect rules for a security system that protects a secured area, simulating a plurality of cause and effect rules responsive to user input identifying an emergency event in one of a plurality of zones of the secured area, and during simulation, displaying on a graphical user interface a first indicator that identifies a first output of a first of the plurality of cause and effect rules within a first of the plurality of zones.