Chinese Academy of Sciences

Dalian University of Technology

Jilin University

State Grid Liaoning Electric Power Research Institute

Yang Liu

Haibin Yu

Peng Zeng

Fan Zhou

Wei Wang

Jun Zhao

Zhongyang Han

Xing Tong

Zhao Shi

Wei Liu

Fan Yang

Hongwei Zhao

Luquan Ren

Hongwei Liu

Daining Fang

Dianzhong Li

Qiang Sun

Peng Liu

Yiyi Li

Yongmao Pei

Paixian Fu

Shizhong Zhang

Lijun Xia

Linqing Wang

Feng Jin

Lu Liu

Yuhan Zhou

Hanghang Liu

Xiaoqiang Hu

Jingping Qu

Pei Wang

Yikun Luan

Chaoyun Yang

Xuchen Lu

Shunbo Wang

Long Chen

Yilong Zhao

Hao Chen

Tie Guo

Defu Wei

Ning Li

Jianhong Kong

Xiaohang Dai

Honggang Han

Yuxiao Zhou

Shiqing Wang

Zhanwei Huo

Dawei Jiang

Nan Wang

Zijian Zhao

Yue Gao

Dong Qiao

Hongsheng Wu

Qifeng Zeng

Jia You

A control process of inclusions in ultra-clean rare earth steel, wherein the content of rare earth elements REM in the ultra-clean rare earth steel, the total oxygen content T[O]m, the total sulfur content T[S]m in the steel, and the total oxygen content T[O]r in a rare earth metal or alloy added to the steel are controlled to satisfy the following formula: −500<REM−(m*T[O]m+n*T[O]r+k*T[S]m)<−30, where REM is the content of rare earth elements in the steel, in ppm; T[O]m is the total oxygen content in the steel, in ppm; T[O]r is the total oxygen content in a rare earth metal or alloy added to the steel, in ppm; T[S]m is the total sulfur content in the steel, in ppm; m is a first correction coefficient, with a value of 2-4.5;n is a second correction coefficient; and k is a third correction coefficient.

Ultra-clean rare earth steel and occluded foreign substance modification control method

A device and method for degassing an on-load tap-changer (OLTC) of a transformer for convenient on-site operation. The degassing device includes an OLTC. The OLTC is respectively connected with an oil suction pipe and an oil injection pipe. One end of the oil suction pipe extends to the inside bottom of the OLTC, and the other end of the oil suction pipe extends to the outside of the OLTC to connect with an oil suction and degassing device. One end of the oil injection pipe extends to an upper part inside the OLTC, and the other end of the oil injection pipe extends to the outside of the OLTC to connect with a vacuum oil injection device. The present disclosure has the advantages of convenient on-site operation, excellent degassing effect, simple structure and convenient installation, reduces degassing time and manpower and investment in maintenance, and improves degassing quality.

Device and method for degassing on-load tap-changer of transformer for convenient on-site operation

A distributed industrial energy operation optimization platform which is capable of automatically constructing intelligent models and algorithms, is divided into three parts: a modeling terminal, a background service and a human-computer interface. The models like data pre-processing, energy generation-consumption-storage trend forecasting and optimal scheduling decision models are encapsulated in the modeling terminal as different visualization modules facing with multiple categories production scenarios, by dragging which the complex functional models can be realized conveniently. The background service is capable of automatically constructing the training samples and the production plans/manufacturing signals series according to the device model requirements of each edge side, interacts with the trained intelligent models through corresponding interfaces, and the computing results are saved in the specified relational database. The computing results are displayed through a friendly customer human-computer interface, and the real-time state of current working condition can also be adjusted.

Distributed industrial energy operation optimization platform automatically constructing intelligent models and algorithms

The present invention provides a method for an optimal scheduling decision of an air compressor group based on a simulation technology, which belongs to the technical field of information. The present invention uses expert experience to construct an air compressor energy consumption model sample set, and applies a least squares algorithm to learn relevant parameters of an air compressor energy consumption model; uses maximum energy conversion efficiency and minimum economic cost based on an equivalent electricity as target functions, and applies the simulation technology and a depth first tree search algorithm to solve a multi-target optimal scheduling model of the air compressor group; and finally uses a fuzzy logic theory to describe the preferences of decision makers, and introduces the decision maker preference information into interactive decision making, thereby assisting production staff to formulate safe, economical, efficient and environmentally friendly operation schemes to achieve an operation mode of maximum resource utilization of the air compressor group. The method also has wide application value in different industrial fields.

Method for optimal scheduling decision of air compressor group based on simulation technology

The present invention relates to the field of architecture of Internet of Things, specifically to a semantics-based architectural model of Internet of Things. The present invention puts forward the architecture of the Internet of Things based on the study of semantic Web, sensor network, sensor Web, wherein the architecture is divided into 7 layers: physical layer, perception layer, gateway layer, data layer, semantic layer, service layer and application layer. By means of semantic processing of sensor data and building of sensor ontology, the architecture is capable of realizing automatic discovery of heterogeneous resources, enhancing the expression ability of data, achieving effective sharing, reuse, integration, and access to data, improving interoperability of resources and accomplishing intellectualized service.

Semantics-based architectural model of the internet of things

The present invention relates to a method for preparing difluoroallylboronate and application thereof, and it belongs to a field of compound preparation. A method for preparing difluoroallyl borate ester is using a compound of the formula II and bis (pinacolato) diboron as raw materials in a solvent and in the presence of an iron catalyst and a base according to the following reaction formula, to obtain a compound of the formula I, The method of the present invention directly use an inexpensive, commercially available metal iron salt as a catalyst to provide a convenient, low-cost method for preparing difluoroallyl borate ester, and provide a new and effective approach for the synthesis of &#x3b3;-aminobutyric acid receptor agonist (III).

Method for preparing difluoroallylboronate and application thereof

Provided are a material in-situ test device and method under multi-load and multi-physical field coupled service conditions. The device is composed of a precise six-degree-of-freedom composite load applying module, a precise torsion module, a precise indentation module, a clamp module and a control module which work together to complete a composite-load and multi-physical field coupled experiment, and is integrated with a digital speckle strain measurement and infrared thermal imaging module and a microscope observation module, so as to carry out in-situ observation and quantitative characterization on material deformation behaviors and damage mechanism phenomena in a composite-load and multi-physical field loading process. For example, loading methods of 'cantilever type pure bending, cantilever type tension/compression-torsion, and cantilever type bending-torsion', etc. can realize the loading of composite load. Silicon nitride ceramic heating sheets, Peltier tiles and current loading are used for achieving simulation of multiple physical fields such as cold/hot-electricity fields.

Material in-situ detection device and method under multi-load and multi-physical field coupled service conditions

The present invention relates to the technical field of terminal devices of the Internet of Things, more specifically to a semantic method for terminal devices of the Internet of Things capable of analyzing the application characteristics of terminal devices of the Internet of Things, setting down the rules for building ontology base; analyzing and building initial ontology base by using the ontology base building tool; pre-processing information from network and sensors; collecting information uploaded by sensors, updating the initial ontology base, and expanding the ontology base by collecting information searched by network. The method establishes program plan by object-oriented mode, analyzes implementing results by using existing test data or simulated data, and realizes domain updating and expansion of sensor ontology according to specific applications. The whole development and evolution of sensor ontology is increasing gradually in a spiral form.

Semantic method for terminal devices of internet of things

An absolute-type linear encoder absolute signal consistency correction method, related to the field of absolute-type linear encoder measurements, for solving the problem of narrow linear range for photoelectric responses and large signal dispersion found in an existing consistency correction method for a photoelectric conversion component and a processing circuit thereof. The correction method allows for enhanced absolute signal quality and increased system measurement precision.

Absolute-type linear encoder absolute signal consistency correction method

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Liaoning, China

Yang Liu