Siemens Aktiengesellschaft

Siemens Ltd., China

International Business Machines Corporation

Boe Technology Group Co., Ltd.

Xinjiang Goldwind Science & Technology Co., Ltd.

China Building Materials Academy Co., Ltd.

Beijing Shida Bocheng Technology Co., Ltd

Ang Li

Hao Liu

Jing Li

Dan Wang

Wen Tao Hua

Wei Quan

Yu Cao

Hui Liu

Jing Yan Ma

Chang Liu

Jing Yang

Ying Gao

Hua Cai

Jian Qiang Liu

Xian Zou

Jinsheng Jia

Xiaohu Quan

Yong Yu

Yonggang Huang

Wenjing Qin

Mingjie Tang

Shuaiqi Li

Haiping Feng

Yihu Wang

Zhuo Yin

Jianmin Chen

Peng Fei Zhang

Weizhi You

Qita Feng

Junling Zhao

Jiao Lian

Tiezhu Bo

Shiyong Xie

Wentao Hua

Yue Lin Liang

A capillary array includes a capillary region, including capillaries of a first glass, which are disposed in an axis-parallel manner. A low refractive index layer is disposed on an inner wall of each of the capillaries, the refractive index of each low refractive index layer being less than a refractive index of a liquid scintillator. A second glass material is disposed between adjacent capillaries. A softening point of the first glass is T, a softening point of second glass is T, and a value of Tminus Tis in a range from 30° C. to 50° C. A thermal expansion coefficient of the first glass is α. An edge covering region is disposed on an outer side of the capillary region and makes contact with an outer side face of the capillary region, wherein a material of the edge covering region is a third glass.

Capillary array and preparation method and application therefor

A wind farm, and a method for controlling high voltage ride through, a system, a MMC and a machine-side converter therefor are provided. The method for controlling high voltage ride through control method for the wind farm includes: determining an amplitude of a voltage of a power grid; determining that a high voltage ride through event is occurred under a condition that the amplitude of the voltage of the power grid exceeds a first threshold; acquiring a fundamental frequency modulation wave of the MMC; superimposing a triple harmonic on the fundamental frequency modulation wave to obtain a superimposed modulation wave; and controlling the MMC to operate basing on the superimposed modulation wave.

Wind farm, high voltage ride through control method therefor, system, MMC and machine-side inverter

Various embodiments of the teachings herein include a method for deploying power quality monitoring (PQM) devices. The method may include: determining a maximum number of PQM devices and historical power data of candidate deployment points, wherein the number of the candidate deployment points is greater than the maximum number of the PQM devices; clustering the historical power data of the candidate deployment points, wherein a target number of categories is determined on the basis of a silhouette coefficient of each candidate number of categories and the maximum number of the PQM devices; and determining PQM device deployment points based on the center of each category in the target number of categories.

Method and apparatus for deploying power quality monitoring device

A power load data prediction method and device, and a storage medium are disclosed. In an embodiment, the he method comprises: acquiring historical power load data of a one-dimensional time sequence, the historical power load data including values of corresponding time points; mapping the values of corresponding time points to a coordinate system in which a horizontal axis is a set time period, and a vertical axis is time points within the time period, and performing marking at each mapping point by using predetermined pixel values corresponding to the values to obtain a mapping image, wherein different values correspond to different pixel values; and inputting the pixel values of the mapping image to a trained data prediction model, and acquiring a power load data prediction value output by the data prediction model. The method and device and the storage medium can improve the prediction accuracy of the power load data.

Power load data prediction method and device, and storage medium

This disclosure provides a picture generation method, apparatus, electronic device and storage medium. The picture generation method includes: acquiring a plurality of content elements contained in a design of a target picture, the content elements having respective attribute information, in response to a drawing instruction, parsing the content elements to obtain one or more graphic elements for each of the plurality of content elements, each graphic element having an associated graphic parameter that corresponds to the attribute information of a respective content element, drawing the graphic elements according to the associated graphic parameters to obtain content element pictures for respective content elements, and combining the obtained content element pictures to generate the target picture.

Method and apparatus for picture generation and storage medium

Provided are a method, apparatus and system for storing fault data, an embodiment of the fault data storage method including: acquiring fault data of a target electrical device; sending a consensus request for the fault data, usable to request that consensus personnel who use the consensus client reach a consensus for the reason why the target electrical device is faulty, to at least one consensus client; respectively receiving a consensus result from each consensus client, the consensus result being formed by the consensus client according to the triggering of the consensus personnel; determining, according to each received consensus result, whether the reason for why the target electrical device is faulty is due to device quality; generating, upon the reason for why the target electrical device is faulty being due to device quality, a first data block which contains the fault data; and storing the first data block into a blockchain.

Method, apparatus and system for storing fault data, and computer-readable medium

Disclosed are a power grid user classification method and device, and a computer-readable storage medium. The method includes: determining user power consumption data of each time period within a time interval, the user power consumption data of each time period including user power consumption data of each time granularity within the time period; generating a power consumption pattern image of a user within the time interval based upon the user power consumption data of each time period within the time interval; and classifying the user based upon an image recognition result of the power consumption pattern image. A user is classified by performing image recognition on a power consumption pattern image, and file information does not need to be manually inputted, thereby reducing a manual workload. In addition, a completion defect caused by incomplete file information is avoided, thereby improving the accuracy of classification.

Power load prediction method and apparatus, and storage medium

The present disclosure relates to a power management method and apparatus, a computing device, a medium, and a product. The power management method includes a monitoring step, a prediction step, an error calculation step and an adjustment step including adjusting power supply plan or a power demand of a user when at least one of a first error is greater than a first predetermined threshold or a second error is greater than a second predetermined threshold.

Power management method and apparatus, computing device, medium, and product

A synergist for a water-base drilling fluid and a preparation method therefor, a water-base drilling fluid and an application thereof, and belongs to the field of drilling fluid technologies. The synergist is prepared from raw materials comprising the following parts by weight: 15&#x2dc;25 parts of sodium styrene sulfonate, 8&#x2dc;15 parts of allyl trimethyl ammonium chloride, 2&#x2dc;8 parts of didodecyldimethylammonium bromide, 1&#x2dc;5 parts of n-octyl triethoxysilane, 1&#x2dc;5 parts of propyltriethoxysilane, 1&#x2dc;5 parts of disodium lauryl sulfosuccinate, 10&#x2dc;20 parts of nano silica, 8&#x2dc;15 parts of paraffin, and the like.

Synergist for water-based drilling fluid and preparation method therefor, water-based drilling fluid and application thereof

In one embodiment, a method for data migration includes: receiving intermediate data and corresponding key value-row location information mapping list; importing each row of the intermediate data to a corresponding row of a target data table, where each row of the target data table has a target physical row ID; and establishing, by a computer processor, a target index of the target data table based on the target physical row IDs and the key value-row location information mapping list. With the method or system of this invention, the efficiency of reestablishing a data index after data migration can be improved.

Data migration

Growing community of inventors

Beijing, China

Ang Li