Device for calculating optimal monitoring sensor locations and method for calculating optimal monitoring sensor locations using the same

Device for Calculating Optimal Surveillance Sensor Placement

This technology is a simulation-based system that calculates the optimal installation locations for surveillance sensors based on movement path scenarios of objects and mobile units within an indoor monitoring area. By simulating the total time during which the detection ranges of surveillance sensors and mobile unit sensors overlap, it identifies the sensor placement configuration that maximizes object detection time.

The risk of collision with objects due to blind spots in autonomous robot detection ranges, and the inefficiencies of existing surveillance sensor installation methods (increased costs due to over-installation or blind spots caused by under-installation).

This technology is a device and method that performs simulations by inputting time-based movement path scenarios for objects and mobile units along with monitoring area maps. It calculates the 'object detection time' for various combinations of potential surveillance sensor locations and identifies the optimal installation index that maximizes this time. Applicable to logistics transport, service robots, and autonomous driving platforms, it improves object detection efficiency, reduces the number of required control sensors, and enhances the overall safety of autonomous robots within the monitored area.

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Key Features:

• A location calculation unit that determines the optimal installation information for surveillance sensors based on the calculated object detection time.
• An information receiving unit that receives the number of surveillance sensors, potential installation location data, and map information of the monitoring area.
• A time calculation unit that computes the object detection time, which is the total duration during which surveillance sensors or mobile units detect an object.
• A device for calculating optimal surveillance sensor placement, characterized by the above features.

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This invention was developed with support from the Ministry of Science and ICT for the development of an autonomous mobile robot blind-spot avoidance path optimization algorithm based on multi-sensor fusion for efficient manufacturing process automation.