Bird flight path intelligent tracking and monitoring method and system based on big data analysis

By combining big data analysis and multimodal monitoring equipment with a spatiotemporal Transformer model that optimizes lion pride search and uses rotational geographic distance coding, the problem of continuous tracking of cross-regional bird migration routes has been solved, achieving efficient and reliable monitoring of bird migration paths and supporting ecological protection and airspace management.

CN120492857BActive Publication Date: 2026-06-02CHUANGSHI INTELLIGENT TECH (NANJING) CO LTD
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Patent Information

Application Number
CN202510671485.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-05-23
Publication Date
2026-06-02
Estimated Expiration
2045-05-23

AI Technical Summary

Technical Problem

Existing technologies are inadequate for effectively handling the continuous tracking of bird migration trajectories across regions, over long distances, and targeting multiple targets. This is especially true when nodes are sparse and geographical locations change drastically, leading to a decline in long-distance capture capability and large interpolation errors for missing segments. Furthermore, they fail to achieve intelligent optimization and reliable evaluation of the trajectory stitching process.

Method used

By employing a big data analytics approach, data is collected through the deployment of multimodal monitoring equipment. The lion pride optimization search model and the spatiotemporal Transformer model with rotated geographic distance coding are used for trajectory stitching and missing segment interpolation. This is combined with ecological knowledge graphs and real-time environmental data for correlation, enabling continuous tracking of cross-regional bird migration routes.

Benefits of technology

It enables high-confidence continuous tracking of bird migration routes in complex geographical environments, reduces the probability of mis-segmentation and omission, can dynamically adapt to different species and climatic conditions, outputs multi-dimensional monitoring results, and supports ecological protection and airspace management.

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Abstract

The application discloses a bird flight path intelligent tracking and monitoring method and system based on big data analysis, S1. generating an original bird observation data set; S2. output standardized bird observation data set; S3. based on the standardized bird observation data set, a multi-target tracking algorithm is called to obtain a bird trajectory segment data set; S4. a lion group optimization search model is constructed, and the bird trajectory segment data set is input into the lion group optimization search model to form a candidate trajectory data set; S5. the candidate trajectory data set is input into a space-time Transformer model configured with a rotating position embedding to generate a continuous flight path data set; S6. output a cross-region bird migration monitoring result set. The application can cover bird migration continuous tracking requirements under different time periods, multiple geographical zones and heterogeneous device collection conditions, effectively support the application scenarios of ecological protection, migration research and airspace control, and have remarkable engineering promotion and ecological protection value.
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