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公开(公告)号：US20250167590A1
公开(公告)日：2025-05-22
申请号：US18932663
申请日：2024-10-31
Applicant: BEIJING INSTITUTE OF TECHNOLOGY
Inventor： Hailing FU , Zhuowen LIU , Fang DENG , Haopeng XIE , Ziyu WANG , Xiangyang WANG , Ning DING , Maobin LV , Jiadong ZHOU
Abstract: A hybrid energy harvesting apparatus for harvesting omnidirectional multi-band radio frequency (RF) energy and thermoelectric energy includes a housing, an RF harvesting apparatus, a thermoelectric harvesting apparatus, and an energy storage apparatus. The housing is a hollow polyhedron. The thermoelectric harvesting apparatus includes a thermoelectric sheet applied to an outer side surface of the housing and a thermoelectric conditioning circuit mounted in the housing. The thermoelectric sheet is configured to harvest thermal energy and convert the thermal energy to electrical energy. The RF harvesting apparatus includes a multi-band two-dimensional antenna array tightly attached to the thermoelectric sheet and an RF-DC conditioning circuit mounted in the housing. A multi-band two-dimensional antenna in the multi-band two-dimensional antenna array is configured to harvest RF energy and convert the RF energy to electrical energy and dissipate heat from the thermoelectric sheet. The RF-DC conditioning circuit is connected to the multi-band two-dimensional antenna.
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公开(公告)号：US20210135625A1
公开(公告)日：2021-05-06
申请号：US17093244
申请日：2020-11-09
Applicant: BEIJING INSTITUTE OF TECHNOLOGY
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.
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公开(公告)号：US20220147789A1
公开(公告)日：2022-05-12
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
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.
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