Mobile Object Search Prioritization Using Abnormality Attributes
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Solution Overview
Problem
In scenarios where multiple mobile objects are flying in airspace, there is a risk of multiple objects falling due to battery drain or mechanical failure, making it challenging to quickly and efficiently search for and prioritize fallen objects.
Innovation Solution
A search assistance device and system that acquires abnormality notification information from mobile objects, specifies the attributes of search targets based on stored attribute information, and calculates a search priority using predetermined rules to assist in the prioritization and location of fallen objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple mobile objects are monitored simultaneously, then the coverage and comprehensiveness of search operation is improved, but the time required to locate and prioritize fallen objects increases
Solution Approach 1:
The system performs preliminary actions by pre-defining priority rules and attributes before abnormalities occur. Mobile objects are pre-tagged with attributes such as cargo type, flight purpose, and area sensitivity. When an abnormality occurs, the pre-established rules immediately apply to these attributes, enabling instant priority calculation without requiring complex real-time analysis of multiple objects.
Solution Approach 2:
The system changes parameters by transforming the search problem from analyzing multiple objects simultaneously to evaluating a single priority value. By converting diverse object attributes (cargo, location, purpose) into a standardized priority score based on pre-defined rules, the system enables rapid comparison and selection of the most critical object to search, significantly reducing search time even when many objects are monitored.
2Reliability
If automatic control and different flying places are used for mobile objects, then the risk of collision is reduced, but the complexity of managing and tracking multiple mobile objects increases
Solution Approach 1:
Mobile objects perform self-service by autonomously transmitting their own attribute information and abnormality notifications to the management device. Each mobile object independently provides its own data (position, cargo, flight purpose), eliminating the need for complex centralized tracking and manual data collection, thereby reducing management complexity while maintaining reliable monitoring.
3Measurement precision
If detailed attribute information is collected for each mobile object, then the accuracy of search prioritization is improved, but the amount of data to be processed increases
Solution Approach 1:
The system extracts only the essential attributes needed for prioritization (cargo type, flight purpose, area sensitivity) from the complete set of mobile object data. By selectively taking out only the relevant information required for priority calculation according to pre-defined rules, the system achieves accurate prioritization without processing unnecessary data, thus maintaining low data volume while ensuring high prioritization accuracy.
Data Source
AI summary
One purpose of the present invention is to provide a search assistance device, etc., capable of assisting in searching for a mobile object. A search assistance device according to one aspect of the present disclosure comprises an acquisition means that acquires abnormality notification information transmitted from a mobile object in which an abnormality has occurred among a plurality of mobile objects, a specification means that specifies an attribute of a search target, which is the mobile object that has transmitted the abnormality notification information, on the basis of attribute information that relates to the attributes of mobile objects and is stored in a storage means; and a calculation means that calculates a search priority level according to the attribute of the search target on the basis of a predetermined rule.