Mobile Object Control System for Wildfire Detection
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Solution Overview
Problem
Current systems are inadequate in detecting wildfires at an early stage and preventing their spread, particularly in vast and densely forested areas, due to limitations in monitoring efficiency and accuracy.
Innovation Solution
A mobile object control system comprising unmanned flying drones and ground crawlers, connected via a network, that uses area information and weather data to determine priority search areas and detect fires, allowing for early notification and response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If drones are used to patrol vast forest areas, then the coverage area increases, but the detection precision decreases
Solution Approach 1:
The system segments the monitoring task into two parts: drones perform wide-area aerial patrol to cover vast forest regions, while ground crawlers perform close-up ground-level detection for high-precision fire identification. This segmentation allows each component to excel at its specific function, resolving the contradiction between coverage area and detection precision.
Solution Approach 2:
The system merges aerial drone monitoring with ground-based crawler detection into a unified collaborative framework. The drone and crawler work together as an integrated system, with the drone providing broad coverage and the crawler providing precise verification, thereby achieving both large coverage area and high detection precision simultaneously.
2Reliability
If multiple mobile objects are deployed, then the detection coverage improves, but the system complexity increases
Solution Approach 1:
The system implements feedback mechanisms where drones and crawlers continuously exchange detection data and status information. The central control system processes this feedback to coordinate movements and optimize detection strategies, managing system complexity through intelligent information flow while enhancing overall detection coverage and reliability.
Solution Approach 2:
Both drones and crawlers are designed as multi-functional mobile objects capable of navigation, environmental sensing, and data transmission. This universality reduces the need for specialized equipment for each function, thereby managing system complexity while maintaining high detection coverage through versatile, adaptable units.
3Productivity
If priority search areas are determined using historical data and weather information, then the detection efficiency improves, but the computational requirements increase
Solution Approach 1:
The system performs preliminary analysis of historical event data and weather information beforehand to pre-identify priority search areas. By conducting this computational work in advance, the system reduces real-time processing requirements during actual detection operations, thereby improving detection efficiency while managing computational energy consumption through advance preparation.
Data Source
AI summary
A mobile object control system, an information processing method, and a mobile object. The mobile object control system includes one or more mobile objects, an information processing apparatus communicable with the one or more mobile objects, and control the one or more mobile objects. The information processing apparatus includes first circuitry configured to store area information including past event occurrence history information of an area to be searched and weather information regarding the area, determine a designated area to search based on the area information and the weather information, and control the movement of at least one of the one or more mobile objects based on the designated area. The one or more mobile objects include second circuitry configured to detect an occurrence of an event while moving in the designated area, and send a notification in case that detecting the occurrence of the event.