Shanghai Jiao Tong University

Koninklijke Philips Corporation N.v.

Philips Lighting Holding B.v.

Philips Intellectual Property & Standards Gmbh

Yadong Liu

Xiuchen Jiang

Hugo Johan Cornelissen

Cornelis Reinder Ronda

Zhe Li

Peng Xu

Xiaofei Fu

Lei Su

Ling Pei

Yingjie Yan

Siheng Xiong

Bo Tong Liu

Xiaoyan Zhu

Gehao Sheng

Xiaolei Xie

Marcellinus Petrus Carolus Michael Krijn

Jie Yang

Theodorus Johannes Petrus Van Den Biggelaar

Giovanni Cennini

Chao Huang

Bo Liu

Zhe Chen

Yue Hu

Gongming Wei

Hendrikus Albertus Adrianus Maria De Ruijter

Qian Jiang

Yong Qian

Lingen Luo

Yongsheng Zhao

Mingzhi Li

Xiaoli Gu

Yanping He

Chenlin Hu

Haoyu Wu

Jiejie Dai

Jiamei Liu

Yun Hu

Henk Van Houten

Zihan Cong

Kairaz Sarosh Contractor

A semi-submersible floating wind power generator includes a wind power generator set, a post device, a load carrying device and a mooring device. The wind power generator set is disposed at a first end of the post device. The load carrying device is disposed at a second end of the post device. The mooring device is disposed at the second end of the post device. The post device includes a main post and multiple auxiliary posts. The main post is disposed in parallel with the multiple auxiliary posts, and second ends of the multiple auxiliary posts are aligned such that the second ends of the multiple auxiliary posts form a first plane, and the second end of the main post is disposed at a position closer to the first end of the main post than the first plane.

Semi-submersible floating wind power generator

A heterogeneous image registration method includes: performing edge detection on collected images, in combination with a curvature scale space strategy to extract contour curved segments in an edge image. Implementing a feature point detection strategy based on global and local curvature detecting feature points in the contour curved segments, and obtaining the nearest minimum local curvature of the feature points pointing to starting and end points of the contour, respectively. Calculating the number of neighborhood sampling points and neighborhood auxiliary feature points of neighborhoods on both edges of each of the feature points according to the nearest minimum local curvature. Using neighborhood auxiliary feature points and feature points to form a feature triangle, calculating an angle bisector vector and a main direction corresponding to the feature point in the feature triangle. The present invention is remarkable, accurate, and has high adaptability to the image registration scene of electric equipment.

Heterogeneous image registration method and system

The present invention provides a high-precision identification method and system for substations, including building a Mask RCNN objection recognition network model based on convolutional neural networks; inputting acquired image information of a object into the Mask RCNN object recognition network model for preliminary recognition and outputting a recognition result of the object; using an information entropy to create a semantic decision tree and correcting the recognition result of the object according to a principle of relative correlation between different objects and outputting a final recognition decision result; reading the recognition decision result to obtain a true type of the object to be recognized. The present invention greatly improves the accuracy of image recognition of substations, and has a positive role in the research and development of automatic inspection equipment for inspection robots.

High-precision identification method and system for substations

The present disclosure provide a method for identifying power equipment targets based on human-level concept learning, including: creating a dataset of power equipment images, and annotating power equipment in power equipment images; training neural network and Bayesian network with the annotated dataset and respectively acquire identification results and conditional probabilities; calculating probabilities of unions with the conditional probabilities; and filtering the identification result corresponding to the highest probability of the union as identification result of the dataset of the power equipment images and complete the identification of the power equipment. The present disclosure combines Mask R-CNN and probabilistic graphical model. The bottom layer uses Mask R-CNN, and the top layer uses Bayesian network to train in identifying power equipment images, so that a small amount of data samples can achieve good recognition, which improved the performance of Mask R-CNN model.

Method for identifying power equipment targets based on human-level concept learning

Power distribution network early failure detection method comprising: a waveform is decomposed into an approximation part and detail parts by wavelet transform, wherein the approximation part is referred to as an approximate shape primitive, and the detail parts are referred to as distortion primitives; the distortion primitives are divided into three primitives including harmonics, pulses and other distortions based on extreme points; characteristics of the primitives and time relationships between the primitives are extracted; probability distribution of the waveform is constructed according to the characteristics of the primitives and the time relationships between the primitives; and a judgment result of the waveform is obtained according to probability distribution of waveforms of different types.

Method for detecting power distribution network early failure

A maximum power output circuit for EHC and its design method are presented. The circuit is comprised of a magnetic core, that is, a primary coil and a secondary coil, with a load resistor and a capacitor parallel connected at the two ends of the secondary coil. The circuit enables the EHC to be always working at the maximum power output, thus realizing maximum power output of the energy harvesting power source.

Maximum power output circuit for an EHC and design method thereof

A method for detecting and locating faulty line on the distribution network circuit based on full waveform information, which uses the current data on the fault occurrence and whole-process operation of the compensation device to effectively solve such common problems as low fault current, poor reliability and low sensitivity in case of single-phase grounding fault to the low-current system through precise GPS synchronization. It improves the sensitivity and reliability of the grounding fault detection, which does not interfere with the system and is applicable to high-resistance grounding.

Method for locating distribution network circuit fault based on full waveform information

To improve the illumination efficiency of hand-held illumination devices, this invention proposes a new illumination device having the 'rolling' function, which is capable of illuminating the target area on which a user is currently focusing and rolling the illuminated area as the user is reading forward or backward. The illumination device comprises two pluralities of lighting elements, an illuminating body and a controller. The controller can control one plurality of lighting elements to emit light to illuminate a part of the illuminating body, which can further deflect the light to a part of the surface of the target.

Adjustable illumination devices

The invention relates to an illumination device () for illuminating a surface (), with at least one lighting element () and an illuminating body (), wherein the lighting element () emits an artificial light (), a housing element () comprises the lighting element () and supports the illuminating body (), the illuminating body () comprises a transparent light conductive material suitable to illuminate the surface () lying subjacent. The invention discloses, that the illuminating body () comprises a surface pattern (), forming a Fresnel-type lens to optically magnify the surface ().

Illumination device

The invention relates to an illumination device () for illuminating a surface, with a lighting element () and an illuminating body (), wherein the lighting element () emits an artificial light ('), a housing element () comprises the lighting element () and supports the illuminating body (), the illuminating body () comprises a transparent light conductive material and is generally overlying the surface, being illuminated. The invention discloses, that the illuminating body () comprises a light extraction layer (), configured to receive and to deflect the artificial light (&#x2032;) from the lighting element () onto the surface.

Growing community of inventors

Shanghai, China

Yadong Liu