Intelligent planning method for flight path of low-altitude logistics unmanned aerial vehicle

CN120800409AInactive Publication Date: 2025-10-17GUANGDONG LIGHT IND TECHNICIAN COLLEGE
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Patent Information

Application Number
CN202511309444.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-15
Publication Date
2025-10-17
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing drone delivery route planning methods struggle to balance the fragility of goods with the smoothness of the flight path in complex urban environments, leading to the easy damage of fragile or high-precision goods during transportation and making it difficult to meet environmental constraints.

Method used

By acquiring cargo vulnerability assessment data and environmental constraints, an initial cargo vulnerability score is generated. Combined with path smoothness optimization, buffer points are inserted to generate a set of smooth paths. No-fly zone detection is then performed to generate the final flight path, ensuring path safety and compliance.

Benefits of technology

It significantly improves the safety and efficiency of transporting fragile goods in complex environments, reduces transportation losses, and is suitable for low-altitude logistics scenarios.

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Abstract

The invention provides an intelligent flight path planning method for a low-altitude logistics unmanned aerial vehicle, and the method comprises the steps: evaluating the vulnerability of goods, and obtaining an initial goods vulnerability score through combining the relation between the evaluated goods vulnerability and a transportation distance; obtaining environmental constraint conditions, performing security risk identification and evaluation on the environmental constraint conditions to obtain risk distribution of each region, and combining and superposing analysis results of various constraint conditions to obtain a preliminary feasible region graph; performing region connectivity identification processing on the preliminary feasible region map to obtain a continuous flight region range, generating a plurality of candidate paths from a take-off point to a destination, and identifying sharp turning sections in the paths and extracting turning angles; and according to the adjusted gentle path set, comprehensive scoring of turning gentle degree, flight distance and safety risk is carried out, and a flight optimization path group of the low-altitude logistics unmanned aerial vehicle is generated in combination with a cargo carrying capacity evaluation result.
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