Intrusion Sensor Installation Guidance via Detection Zone Visualization
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Solution Overview
Problem
Installers face challenges in determining the exact detection patterns of various intrusion sensors, leading to potential gaps or blind spots in security coverage within a building, as each sensor type and model has unique detection patterns, making it difficult to ensure adequate installation.
Innovation Solution
A system and method using a mobile device to capture and compare the detection patterns of intrusion sensors with a building's layout, identifying gaps in coverage by superimposing sensor detection zones onto a representation of the space, allowing for optimal placement and reducing blind spots through wireless communication with a cloud-based server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If installers manually install intrusion sensors without detection pattern visualization, then installation process is simple, but coverage accuracy and blind spot identification deteriorate
Solution Approach 1:
The system creates a digital representation (copy) of the physical building space and sensor detection patterns. The mobile device displays a visual copy of the detection pattern overlaid on the building layout, allowing installers to see exactly where each sensor will detect intrusions without physically installing and testing each sensor. This copying approach enables precise coverage verification while keeping the physical installation process simple.
Solution Approach 2:
The mobile device acts as an intermediary between the physical sensor installation and the detection pattern verification. Instead of directly observing complex detection patterns or performing manual calculations, the installer uses the mobile device application to visualize the detection pattern overlay on the building layout, which mediates the relationship between sensor placement and coverage areas.
2Reliability
If multiple sensors are installed to ensure coverage, then security coverage improves, but installation time and cost increase
Solution Approach 1:
The system performs preliminary analysis of sensor placement and detection pattern coverage before actual installation. By visualizing detection patterns and identifying blind spots in advance using the mobile device application, installers can optimize sensor placement to achieve complete coverage with the minimum number of sensors required, avoiding both under-coverage and excessive sensor deployment.
Solution Approach 2:
The system provides immediate visual feedback to the installer about detection pattern coverage and blind spots through the mobile device display. As sensors are virtually placed or during the installation process, the application shows the detection pattern overlay and highlights any uncovered areas, allowing real-time adjustment of sensor placement to achieve optimal coverage without requiring trial-and-error physical installation.
3Ease of operation
If installers rely on general sensor specifications, then installation process is straightforward, but detection pattern specificities are lost
Solution Approach 1:
The system provides localized, sensor-specific detection pattern information tailored to each individual sensor's characteristics. Rather than using generic detection patterns, the application retrieves and displays the specific detection pattern data for each sensor model being installed, showing the exact coverage area and detection characteristics for that particular sensor at its specific installation location.
Data Source
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AI summary
A representation of a building space is displayed on a display. A user is allowed to enter a user input via a user interface in order to place a representation of each of a plurality of intrusion sensors at a location on the representation of the building space that corresponds to an actual or planned installation location of the corresponding intrusion sensor in the building space, each of the plurality of intrusion sensors being a non-video based motion sensor and/or a glass break sensor and each having a predefined detection zone representative of a geographic area that the corresponding intrusion sensor covers. The representation of a building space and the placement location of each of the plurality of intrusion sensors is stored. A visual representation of the predefined detection zone for each of the placed intrusion sensors is displayed on the representation of the building space.