Huaneng Lancang River Hydropower Inc.

Tianjin University

Hohai University

Kunming Diboo Technology Co., Ltd.

Huaneng Group Tech Innovation Center Co., Ltd.

Hao Chen

Haibin Xiao

Bin Yang

Weiping Dai

Bin Su

Xiaofeng Zhou

Xuexing Cao

Wei Chen

Fudong Chi

Bin Tan

Chunrui Zhang

Han Fang

Weiyong Zhan

Chunyang Zheng

Long Han

Kun Yang

Chunrui Yang

Wenming Xie

Bingbing Nie

Dan Shao

Zhixiang Chen

Wei Sun

Haodong Chen

Bohui Pang

Hui Xie

Yingchi Mao

Mai Meng

Shouyun Yang

Fugang Zhao

The present disclosure relates to an automatic patrol inspection and intelligent erosion defect detection method and apparatus for a flood discharge tunnel, and belongs to the technical field of patrol inspection and defect detection. The method includes: constructing a flood discharge tunnel erosion defect database; constructing a flood discharge tunnel erosion defect analysis and evaluation standard and early warning threshold; performing automatic patrol inspection; and performing image analysis processing and intelligent recognition model training. According to the present disclosure, a condition of the flood discharge tunnel can undergo automatic patrol inspection, an erosion impact degree can be rapidly recognized and determined, the downstream life safety are not in danger during flood discharge, and a patrol inspection efficiency and a detection efficiency can be noticeably improved.

Automatic patrol inspection and intelligent erosion defect detection method and apparatus for flood discharge tunnel

A method for extracting a dam emergency event based on a dual attention mechanism is provided. The method includes: performing data preprocessing, building a dependency graph, building a dual attention network, and filling a document-level argument. The performing data preprocessing includes labeling a dam emergency corpus and encoding sentences. Building a dependency graph includes assisting a model to mine a syntactic relation based on a dependency. Building a dual attention network includes weighing and fusing an attention network based on a graph transformer network (GTN) and capturing key semantic information in the sentence. Filling a document-level argument includes filling a document-level argument by detecting a key sentence and ordering a semantic similarity. The method introduces a dependency and overcomes the long-range dependency problem based on the dual attention mechanism, thus achieving high identification accuracy and reducing a lot of labor costs.

Method for extracting dam emergency event based on dual attention mechanism

A method for producing stannous sulfide, the method including: 1) heating a tin-containing material to 200-600&#xb0; C., and mixing sulfur with the tin-containing material heated, to yield a product; and 2) distilling the product in a vacuum furnace at a pressure of 1-500 pascal.

Method for producing stannous sulfide

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Kunming, China

Hao Chen