State Grid Corporation of China

State Grid Digital Technology Holding Co., Ltd.

State Grid Blockchain Technology (beijing) Co., Ltd.

University of Science and Technology Beijing

China Institute of Water Resources and Hydropower Research

Jiangxi Power Exchange Center Co., Ltd.

Beijing Power Exchange Center Co., Ltd.

Liaoning Power Exchange Center Co., Ltd.

East Inner Mongolia Power Exchange Center Company Ltd.

Lihua Zhao

Dong Wang

Da Li

Jiaxing Xuan

Fan Jia

Guomin Li

Hejian Wang

Zhan Su

Nan Zhang

Li Ni Zhang

Wei Jiang

Liang Zhao

Zhe Zhang

Lei Zhou

Xin Shi

Kai Xie

Xian Wei Zhang

Xuejun Zhang

Tong Xing

Chao Yang

Hongjie Liu

Desheng Bai

Yonghui Liu

Juan Lv

Jiangtao Li

Wenlong Song

Yanping Bao

Yizhu Lu

Ruixuan Zheng

Wen Xie

Shengzhi Lu

Jingli Feng

Jingxuan Lu

Hexiao Liang

Tian Sun

Xin Li

Haiqing Jia

Zhicheng Su

Gang Chen

Kun Fan

Qingchun Li

Yuanyuan Duan

Shengnan Zhang

Rui Tang

Shijie Ji

Xian Xie

The present disclosure provides a blockchain-based green power certification method, apparatus, and system, to pre-process obtained basic data to obtain proof-of-existence data, certify the proof-of-existence data from a production side and a consumption side by using a certification chain and a token chain respectively, and obtain a green power attribute certificate and a green power consumption label if the certification is passed; generate a unique digital identifier for the green power attribute certificate and the green power consumption label separately based on a non-fungible token (NFT), which realizes non-interchangeability, indivisibility, and other characteristics of the certificate and the identifier; and supervise and verify a certification process by using a chain of custody, and generate a corresponding unique blockchain identifier for the certification chain, the token chain, and the chain of custody separately through multi-chain interaction, so as to realize data interaction between blockchains.

Blockchain-based green power certification method, apparatus, and system

A blockchain-based transaction system for a green certificate includes an audit node, a proxy node, and an off-chain node. The proxy node is used by a power producer and a purchaser; the audit node verifies qualification information of the power producer, and send a green certificate to the power producer; the off-chain node predicts a transaction price of a next transaction; when receiving sale information of the power producer and purchase information of the purchaser, the proxy node sends the sale information, a digital signature of the power producer, the purchase information, and a digital signature of the purchaser to the off-chain node; the off-chain node matches the sale information and the purchase information, and sends successfully matched transaction information to the proxy node; the proxy node sends the successfully matched transaction information to a transaction smart contract; and the transaction smart contract performs transaction processing.

Blockchain-based transaction system for green certificate

The invention relates to a method and a system for determining the steel-tapping quantity of a converter, which consider that the working environment of the steel-making process of the converter is severe, the measurement is difficult and the interference of other factors is large, and provide a data-driven prediction model based on data, combine a Principal Component Analysis (PCA) with a RBF neural network, find the relation and the internal relation among variables by carrying out mathematical analysis on the related internal structure of the original variables, can quickly and accurately realize the prediction of the steel-tapping quantity of the converter, improve the component hit rate and the product stability in the steel-making process of the converter, are beneficial to realizing the control of narrow regions of steel-making components, save the alloying cost and have good application prospects in the field of ferrous metallurgy.

Method and system for determining converter tapping quantity

A Region Merging image segmentation algorithm based on boundary extraction is disclosed, comprising the steps of calculating a gradient image, extracting a boundary and carrying out initial segmentation and Region Merging, wherein each pixel is regarded as one region when initial segmentation is not conducted. In the Region Merging process, the portion of the common boundary of two adjacent regions that lies on the boundary image is taken as the merging cost, the regions are merged according to the ascending order of the mean gradient value inside the region, and a texture difference evaluation mechanism is introduced to reduce the wrong segmentation. The algorithm solves the problems of the other current segmentation algorithms, such as over-segmentation, easy to be influenced by noise and illumination, large in computation and memory consumption, in need of a large number of samples being marked manually and the like. Besides, all regions or all categories achieve the best segmentation result on one final segmentation result. These advantageous features can reduce the computational resource consumption of subsequent tasks and improve their results.

Region merging image segmentation algorithm based on boundary extraction

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Beijing, China

Lihua Zhao