Radar Layout Optimization for Bird Invasion Detection

The patent divides the detection area into multiple regions based on environmental parameters and bird invasion characteristics. Each region is independently analyzed and optimized for radar layout, allowing targeted placement that ensures comprehensive coverage without repetition. This segmentation resolves the contradiction by enabling precise coverage of high-risk areas while avoiding redundant deployment in low-priority zones.

The patent applies different radar layout strategies to different regions based on their specific characteristics. High-risk regions with high bird invasion probability receive enhanced radar coverage, while low-risk regions have reduced or no radar deployment. This local differentiation optimizes both coverage completeness and detection accuracy, eliminating the one-size-fits-all approach that causes insufficient coverage and repetition.

The patent employs an automated optimization system that uses genetic algorithms to independently determine optimal radar positions. The system evaluates multiple layout configurations and self-adjusts to find the optimal arrangement that maximizes detection efficiency. This self-service approach eliminates manual layout design that often results in repetition and insufficiency, while keeping the optimization process manageable through computational methods.

The patent optimizes radar layout by dynamically adjusting multiple parameters including radar position, detection range, and region boundaries based on environmental data and bird invasion patterns. By changing these parameters systematically through computational optimization, the system achieves high detection efficiency without creating complex manual layout designs, as the parameters are derived from objective data rather than subjective planning.