Abstract
To address occlusion and lighting constraints in distribution substation monitoring, we leverage Channel State Information (CSI)-based WiFi sensing and propose a continuous action segmentation system for power grid contexts. Built around the 1D-PowerSeqNet temporal network with integrated temporal feature enhancement and adaptive granularity optimization, the system enables direct mapping from raw CSI streams to action boundaries and end-to-end segmentation of variable-length sequences. Validation in a real-world 'hot standby to maintenance' scenario on seven sequential operations, including shaking the handcart, opening the cabinet door, disconnecting the secondary switch, even under strong electromagnetic interference, overcoming the bottleneck of conventional methods that rely on action pauses. This study establishes a technical foundation for non-visual safety monitoring within the Power Internet of Things framework. © Published under licence by IOP Publishing Ltd.
| Original language | English |
|---|---|
| Article number | 012014 |
| Number of pages | 8 |
| Journal | Journal of Physics: Conference Series |
| Volume | 3198 |
| Online published | 30 Mar 2026 |
| DOIs | |
| Publication status | Published - 2026 |
| Externally published | Yes |
| Event | 2025 4th International Conference on Smart Energy and Electrical Engineering, SEEE 2025 - Xiamen, China Duration: 19 Dec 2025 → 21 Dec 2025 |
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
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