[1] |
ZHOU Jian-guo, PENG Duo, JIANG Wei-guo, LI Jian-zhou.
Auxiliary Water Level Measurement During Automatic Dam Safety Monitoring with Robotic Total Station
[J]. Journal of Changjiang River Scientific Research Institute, 2023, 40(6): 160-165.
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[2] |
XU Jian, XU Jian, WEI Si-qi , ZHAO Bao-cheng, XIAO Xiao, LI Guo-zhong.
Application Prospects of Block Chain Technology in Construction of Intelligent Water Conservancy System
[J]. Journal of Changjiang River Scientific Research Institute, 2023, 40(4): 150-54,163.
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[3] |
CHEN Lei, LI Bin, PENG Cheng, BI Xiao-wei, YANG Cheng-sheng.
Design and Implementation of Cloud Platform for Landslide Monitoring and Early Warning in Karst Mountainous Area
[J]. Journal of Changjiang River Scientific Research Institute, 2022, 39(6): 138-144.
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[4] |
JIA Bao-liang, LUO Yi, ZHANG Hui, GUO Liang.
Automatic Monitoring Technology for Grouting: Progresses and Prospects
[J]. Journal of Changjiang River Scientific Research Institute, 2021, 38(10): 186-191.
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[5] |
HUANG Yue-wen, NIU Guang-li, LI Duan-you, HAN Xiao, ZHOU Hua-yan.
Research and Application of Intelligent Perception and Intelligent Management Technology for Dam Safety Monitoring
[J]. Journal of Changjiang River Scientific Research Institute, 2021, 38(10): 180-185.
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[6] |
CHEN Zhe, WEI Si-qi, WU Yi-bang, WEN Xiong-fei, XIANG Da-xiang, LI Jing-wei.
Construction of Public Opinion Analysis System for “River Chief System” Management Based on Internet Social Media
[J]. Journal of Changjiang River Scientific Research Institute, 2021, 38(10): 174-179.
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[7] |
WANG Li-rong, ZHENG Dong-jian.
Anomaly Identification of Dam Safety Monitoring Data Based on Convolutional Neural Network
[J]. Journal of Changjiang River Scientific Research Institute, 2021, 38(1): 72-77.
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[8] |
RAO Xiao-kang.
A Big Data Platform for Grouting of Water Conservancy Project: Design and Implementation
[J]. Journal of Changjiang River Scientific Research Institute, 2019, 36(6): 139-145.
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[9] |
RAO Xiao-kang, MA Rui, ZHANG Li, YI Chong-zheng.
Big Data Safety Management Platform for Dyke Engineering Based onArtificial Intelligence: Research and Implementation
[J]. Journal of Changjiang River Scientific Research Institute, 2019, 36(10): 104-110.
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[10] |
LUO Deng-chang, HAN Xu, YU Qi-chao, MA Dan-xuan.
4Standardization of Dyke Engineering Data
[J]. Journal of Changjiang River Scientific Research Institute, 2019, 36(10): 34-38.
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[11] |
CHEN Bei-qing, TAN De-bao, TIAN Xue-dong, XIA Yu.
Discussion on the Application of Big Data Technology inWater Conservancy Industry
[J]. Journal of Changjiang River Scientific Research Institute, 2016, 33(11): 59-62.
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[12] |
HE Jin-ping, TU Yuan-yuan, SHI Yu-qun, WU Yun-fang.
Model of Diagnosing Abnormal Behavior of Dam Based on Multi-monitoring Points and Bayes Fusion Theory
[J]. Journal of Changjiang River Scientific Research Institute, 2012, 29(10): 63-67.
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