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：US12099346B1

公开(公告)日：2024-09-24

申请号：US18648438

申请日：2024-04-28

Applicant: Beijing Institute of Technology

Inventor： Bin Xin ,  Yingmei He ,  Sai Lu ,  Fang Deng ,  Qing Wang ,  Mengjie Jing ,  Jiwei He

IPC: G05B13/04 ,  G05B13/02 ,  G05B19/418

CPC classification number: G05B19/41845 ,  G05B13/0265 ,  G05B13/04

Abstract: Disclosed is a large-scale dynamic double-effect scheduling method for a flexible job shop based on genetic programming (GP). In a GP implementation process of the present disclosure, in addition to features related to workpieces, processing robots and automated guided vehicles (AGVs), such as processing time of working procedures and buffer area waiting time, features of a ratio of processing time to transfer time and a ratio of processing energy consumption to transfer energy consumption are also added in a terminal set to cause job shop environment features to be more comprehensively applied to a scheduling rule design, thereby automatically designing a more consistent and accurate scheduling rule. A double-effect scheduling rule of the present disclosure overcomes the shortcomings of slow convergence speed, difficulty in rapid corresponding changes and unfit scheduling rules, and can quickly produce a more efficient and energy-saving production scheduling scheme.

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.

公开(公告)号：US11942791B2

公开(公告)日：2024-03-26

申请号：US17485485

申请日：2021-09-26

Applicant: BEIJING INSTITUTE OF TECHNOLOGY

Inventor： Fang Deng ,  Yanxin Ji ,  Xinyu Fan ,  Yeyun Cai ,  Chengwei Mi ,  Feng Gao ,  Jie Chen ,  Lihua Dou

IPC: H02J50/00 ,  G06F3/02 ,  G06F3/023 ,  H02J7/00 ,  H02J7/35 ,  H02J50/10 ,  H02J50/40

CPC classification number: H02J50/001 ,  G06F3/0202 ,  G06F3/0231 ,  H02J7/0013 ,  H02J7/35 ,  H02J50/005 ,  H02J50/10 ,  H02J50/402 ,  H02J2207/20 ,  H02J2300/24

Abstract: A self-powered wireless keyboard by modifying the structure of a traditional membrane keyboard having a volcanic crater structure. Not damaging the original membrane keyboard structure, a micro magnet core is installed inside a cylindrical protrusion block under the key cap as a mover of the induction power generation device, and an induction coil is wound in a key slot of the keyboard base as the stator of the induction power generation device. In this way, when each key is pressed, it will produce induction current. A layer of flexible solar cell can be laid on the upper surface of the key, which can generate electricity by collecting the light energy in the surrounding environment during the time of daily illumination.