公开(公告)号：US11829841B2

公开(公告)日：2023-11-28

申请号：US17468260

申请日：2021-09-07

Applicant: BEIJING INSTITUTE OF TECHNOLOGY

Inventor： Fang Deng ,  Yeyun Cai ,  Ning Ding ,  Chengwei Mi ,  Jiachen Zhao ,  Xianghu Yue ,  Bin Zhang ,  Chen Chen ,  Wenjie Chen ,  Jia Zhang ,  Jie Chen

IPC: G06M1/10 ,  H02J7/00

CPC classification number: G06M1/108 ,  H02J7/0068

Abstract: A mechanical energy-based self-powering counting system is provided. The system includes an electromagnetic power generator, a count measuring circuit, a count energy supply circuit, a controller and a wireless transmission module. The electromagnetic power generator is driven by an external device and produces an electric signal and outputs the electric signal to the controller after passing it through the count measuring circuit. The controller processes the received signal, updates a count according to certain programming rules and sends data to the wireless transmission module. The energy from the electromagnetic power generator flowing through the count measuring circuit can supply power to the controller. An energy storage module in the count energy supply circuit performs voltage feedback on the controller. The controller monitors the voltage of the energy storage module to control whether it enters a charging state.

公开(公告)号：US12068717B2

公开(公告)日：2024-08-20

申请号：US17093244

申请日：2020-11-09

Applicant: BEIJING INSTITUTE OF TECHNOLOGY

Inventor： Fang Deng ,  Zelang Liang ,  Ning Ding ,  Xinyu Fan ,  Xin Gao ,  Yeyun Cai ,  Jie Chen

IPC: H02S50/10 ,  G06F18/21 ,  G06F18/2135 ,  G06F18/214 ,  G06F18/241 ,  G06F18/25 ,  G06N3/04 ,  G06N3/084 ,  G06T7/00 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/80 ,  G06V10/82

CPC classification number: H02S50/10 ,  G06F18/2135 ,  G06F18/214 ,  G06F18/217 ,  G06F18/241 ,  G06F18/25 ,  G06N3/04 ,  G06N3/084 ,  G06T7/0002 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/809 ,  G06V10/82 ,  G06T2207/10024 ,  G06T2207/10048 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: A photovoltaic array fault diagnosis method based on composite information is provided. The method includes: collecting and preprocessing composite information data of photovoltaic array working state, including image data and text data; using the image data of photovoltaic array working state to train a pre-established fault classification model of deep convolutional neural network, to thereby obtain an image fault classification model; using the text data of photovoltaic array working state to train a pre-established fault classification model based on a support vector machine, to thereby obtain a text fault classification model; fusing the image fault classification model and the text fault classification model by logistic regression algorithm to obtain a fusion model, and training the fusion model using the composite information data of photovoltaic array working state to thereby obtain the photovoltaic array fault diagnosis model.