Unmanned Vehicle Monitoring for Real-Time Warning Zone Detection
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Solution Overview
Problem
Security patrol technologies relying on cameras in secured areas face challenges due to blind zones, requiring additional human personnel for inspection and lacking flexibility and intelligence, especially in emergency scenarios where timely analysis and decision-making are hindered by the need for ground-end software processing after unmanned vehicles (UVs) return.
Innovation Solution
A monitoring method and apparatus that utilize UVs, such as unmanned aircraft, boats, or cars, to identify monitoring targets and warning objects in space by collecting data, determining position information, and generating warning information based on the position relationship between the warning object and a warning area, allowing for real-time analysis and decision-making during emergency incidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If cameras are installed within secured areas to monitor the secured areas, then monitoring coverage is provided, but blind zones are created requiring additional patrol personnel
Solution Approach 1:
The patent employs unmanned vehicles (aerial, ground, or water-based) that can dynamically move and reposition to cover different areas of the secured perimeter. Unlike fixed cameras, these mobile monitoring units can adapt their positions to eliminate blind zones and provide comprehensive coverage without requiring multiple static devices or additional patrol personnel.
Solution Approach 2:
The unmanned vehicles serve multiple functions: they can monitor different sections of the secured area, perform aerial surveillance, and potentially carry various sensing equipment. This multi-functionality allows a single unmanned vehicle to replace multiple fixed cameras and patrol personnel, reducing overall system complexity while maintaining comprehensive monitoring coverage.
2Adaptability or versatility
If human patrols are used to inspect the secured areas, then blind zones are covered, but flexibility and intelligence are reduced
Solution Approach 1:
The unmanned vehicles are equipped with onboard processors and algorithms that enable them to autonomously perform monitoring tasks, identify targets, track objects, and generate warnings without human intervention. This self-service capability provides both the flexibility of adaptive patrol routes and the intelligence of automated analysis, eliminating the trade-off present in human-only patrol systems.
Solution Approach 2:
The system incorporates real-time feedback mechanisms where the unmanned vehicles continuously receive data from sensors, process information onboard, and adjust their monitoring behavior accordingly. The feedback loop includes target identification, tracking, and warning generation, enabling intelligent and flexible patrol operations that adapt to changing conditions without requiring human decision-making.
3Measurement precision
If ground-end software processing is used after UVs return, then analysis is performed, but response time to emergency incidents is delayed
Solution Approach 1:
The unmanned vehicles are equipped with onboard processing capabilities that perform data analysis, target identification, and warning generation in real-time during the patrol mission. This preliminary action eliminates the need to wait for return and ground-end processing, enabling immediate response to emergency incidents while maintaining accurate analysis through sophisticated onboard algorithms and hardware.
Data Source
AI summary
A monitoring method includes identifying a monitoring target and a warning object in space according to data collected by a data collection apparatus, obtaining position information of the monitoring target and the warning object, determining a warning area based on the position information of the monitoring target, and generating warning information based on a position relationship between a position of the warning object and the warning area.