Intelligent patrol terminal of transmission line based on AI chip accelerated calculation

Chen, 2022, Research on a secondary active limiting DC fault current limiter topology, IEEE Trans Power Electron, 37, 14547, 10.1109/TPEL.2022.3183888 Yuan, 2022, A novel multiline fast electromagnetic unified power flow controller topology for distribution network, IEEE Trans Ind Appl, 58, 3238, 10.1109/TIA.2022.3158373 Liu, 2020, Review of visible image intelligent processing for transmission line inspection, Power Syst Technol, 44, 1057 Park, 2017, Acoustic fault detection technique for high-power insulators, IEEE Trans Ind Electron, 64, 9699, 10.1109/TIE.2017.2716862 Anjum, 2017, Detection and cation of defects in ceramic insulators using RF antenna, IEEE Trans Dieleclassifictrics Electr Insul, 24, 183, 10.1109/TDEI.2016.005867 Yuan, 2016, Ultrasonic phased array detection of internal defects in composite insulators, IEEE Trans Dieleclassifictrics Electr Insul, 23, 525, 10.1109/TDEI.2015.005225 Ji, 2022, Overhead transmission lines sag and voltage monitoring method based on electrostatic inverse calculation, IEEE Trans Instrum Meas, 71, 1 Huang, 2020, Review of electric power intelligent inspection robot, Electr Meas Instrum, 57, 26 Ma, 2020, Power vision edge intelligence: Power depth vision acceleration technology driven by edge computing, Power Syst Technol, 44, 2020 Liu, 2022, A fast and accurate method of power line intelligent inspection based on edge computing, IEEE Trans Instrum Meas, 71, 1, 10.1109/TIM.2022.3219307 Wang, 2020, Mechanism design and analysis of a new overhead transmission line inspection robot, J Northwest Polytech Univ, 38, 1105, 10.1051/jnwpu/20203851105 Chang, 2022, Application of UAV intelligent management and control platform on overhead transmission lines inspection, vol. 130, 251, 10.1007/978-3-030-99581-2_36 C. Qi, Invited Talk Abstract: Challenges and Solutions for Embedding Vision AI, in: 2018 1st Workshop on energy efficient machine learning and cognitive computing for embedded applications, Williamsburg, USA, 2018, p. 2. Choi, 2021, Implementation of an on-chip learning neural network IC using highly linear charge trap device, IEEE Trans Circuits Syst I Regul Pap, 68, 2863, 10.1109/TCSI.2021.3071872 Zhou, 2021, Power edge intelligent terminal based on AI chip: Structural framework and application scenarios, Electr Power ICT, 19, 77 S. Kulkarni, A. Tsyplikhin, M.M. Krell, C.A. Moritz, Accelerating Simulation-based Inference with Emerging AI Hardware, in: 2020 international conference on rebooting computing, 2020, pp. 126–132. P. Shi, F. Gao, S. Liang, S. Yu, Multi-Model Inference Acceleration on Embedded Multi-Core Processors, in: 2020 international conference on intelligent computing and human-computer interaction, Sanya, China, 2020, pp. 400–403. Wang, 2019, A speed regression using acceleration data in a deep convolutional neural network, IEEE Access, 7, 9351, 10.1109/ACCESS.2019.2890967 M. Zhou, B. Zhou, H. Wang, F. Dong, W. Zhao, Dynamic Path Based DNN Synergistic Inference Acceleration in Edge Computing Environment, in: 2021 IEEE 27th international conference on parallel and distributed systems, Beijing, China, 2021, pp. 567–574. Xue, 2022, EosDNN: An efficient offloading scheme for DNN inference acceleration in local-edge-cloud collaborative environments, IEEE Trans Green Commun Netw, 6, 248, 10.1109/TGCN.2021.3111731 L. Tao, T. Hong, Y. Guo, H. Chen, J. Zhang, Drone identification based on CenterNet-TensorRT, in: 2020 IEEE international symposium on broadband multimedia systems and broadcasting, Paris, France, 2020, pp. 1–5. N. Zhou, Study and Application of Power Transmission Line Patrol System Based on Microwave Communication, in: Seventh international conference on measuring technology and mechatronics automation, Nanchang, China, 2015, pp. 1036–1039. H. Liang, S. Wang, B. Li, An intelligent patrol system based on GIS, GPS, GPRS technology for high voltage transmission line inspection, in: Chinese control conference, Hefei, China, 2012, pp. 6781–6783.