This invention proposes a differentiated collaborative animal repelling
system and method for substations. The
system includes a front-end detection module that monitors the substation's monitoring area, collecting the target's location, movement trajectory, morphological features, sound characteristics, thermal imaging information, and image information. An AI fusion control module acquires the target's location, movement trajectory, and thermal imaging information, sequentially determining whether the target has invaded, whether the invading target is an animal, and the initial target
classification result. After determining that an animal has invaded the substation area, a preliminary repelling strategy is determined based on the initial
classification result. The front-end detection module then acquires the animal target's morphological features, sound characteristics, and image information again, and based on these, determines the animal target's species type. Furthermore, based on the animal target's species type and the species repelling strategy
database containing the animal target's
visual sensitivity, acoustic sensitivity, and auditory fear sources, a final repelling strategy is determined for the current animal target. The repelling execution module then repelles the animal target according to the preliminary and final repelling strategies determined by the AI fusion control module.