Intrusion Identification Model for Unmanned Substation Based on YOLOv7
Digital Intelligence Applications|更新时间:2025-12-11
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Intrusion Identification Model for Unmanned Substation Based on YOLOv7
“In the field of substation security, experts have proposed a substation intrusion detection method based on the YOLOv7 model, with an accuracy rate of 96.58%, providing a solution for foreign object intrusion detection in substations.”
Jun LU, Yuqing XIE, Bingqing LIU, et al. Intrusion Identification Model for Unmanned Substation Based on YOLOv7[J]. Rural Electrification, 2025, (1): 7-11.
DOI:
Jun LU, Yuqing XIE, Bingqing LIU, et al. Intrusion Identification Model for Unmanned Substation Based on YOLOv7[J]. Rural Electrification, 2025, (1): 7-11. DOI: 10.13882/j.cnki.ncdqh.2410A045.
Intrusion Identification Model for Unmanned Substation Based on YOLOv7