Key technologies and applications of safety diagnosis and smart management of reservoir dams

SHENG Jin-bao; XIANG Yan; YANG De-wei; YAN Ji-hao; DONG Kai

doi:10.11779/CJGE202207013

Volume 44 Issue 7

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Chinese Journal of Geotechnical Engineering > 2022 > 44(7): 1351-1366. > DOI: 10.11779/CJGE202207013

SHENG Jin-bao, XIANG Yan, YANG De-wei, YAN Ji-hao, DONG Kai. Key technologies and applications of safety diagnosis and smart management of reservoir dams[J]. Chinese Journal of Geotechnical Engineering, 2022, 44(7): 1351-1366. DOI: 10.11779/CJGE202207013

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Key technologies and applications of safety diagnosis and smart management of reservoir dams

SHENG Jin-bao^{1, 2,},
XIANG Yan^{1, 2},
YANG De-wei^{1, 2},
YAN Ji-hao^{1, 2},
DONG Kai¹

1.
Nanjing Hydraulic Research Institute, Nanjing 210029, China
2.
Key Laboratory of Reservoir Dam Safety, Ministry of Water Resources, Nanjing 210029, China

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Received Date: March 14, 2022
Available Online: September 22, 2022

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Abstract

Abstract

The construction level of reservoirs and dams in China is leading in the world, but the management level is relatively lagging behind, which is highlighted by the backward management means, and low application degree of information technology, and accidents and even dam breaks still occur from time to time. It is urgent to strengthen the integration of traditional water conservancy and modern information technologies, and make full use of the latter such as big data, artificial intelligence and machine learning to realize intelligent diagnosis and smart management of reservoir dam safety. The National Key Research and Development Program of China during the 13th Five-Year Plan period "Key technologies and applications of reservoir dam safety diagnosis and smart management (2018YFC0407100)" is based on the representative hydropower projects in Lancang River Basin, aiming at efficient utilization of water resources, ensuring safety of reservoir dam and taking disaster prevention and mitigation of projects as a breakthrough point. After nearly four years of joint researches, a series of innovative achievements were made in the test equipments and intelligent diagnosis technologies for performance evolution of large and complex hydraulic structures, the key technologies of mutual feed simulation and intelligent monitoring of dam structures and service environment, and the key technologies of dam safety diagnosis and early warning based on big data. The relevant achievements provide scientific and technological support for further improving China's dam safety guarantee system and strengthening the "four pre-measures", and comprehensively guarantee the safe operation and comprehensive efficiency of reservoirs and dams. The achievements have extremely high scientific value and broad prospects for popularization and application as well as extremely remarkable social, economic and ecological environmental benefits.
- reservoir dam,
- safety,
- big data,
- intelligent diagnosis,
- smart management

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References

[1]	向衍, 盛金保, 刘成栋. 水库大坝安全智慧管理的内涵与应用前景[J]. 中国水利, 2018(20): 34–38. doi: 10.3969/j.issn.1000-1123.2018.20.009 XIANG Yan, SHENG Jin-bao, LIU Cheng-dong. Intention of intelligent safety management for reservoir dams and future applications[J]. China Water Resources, 2018(20): 34–338. (in Chinese) doi: 10.3969/j.issn.1000-1123.2018.20.009
[2]	盛金保, 厉丹丹, 蔡荨, 等. 大坝风险评估与管理关键技术研究进展[J]. 中国科学: 技术科学, 2018, 48(10): 1057–31067. https://www.cnki.com.cn/Article/CJFDTOTAL-JEXK201810005.htm SHENG Jin-bao, LI Dan-dan, CAI Qian, et al. Research progress and its practice of key techniques for dam risk assessment and management[J]. Scientia Sinica (Technologica), 2018, 48(10): 1057–1067. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JEXK201810005.htm
[3]	盛金保, 刘嘉炘, 张士辰, 等. 病险水库除险加固项目溃坝机理调查分析[J]. 岩土工程学报, 2008, 30(11): 1620–1625. doi: 10.3321/j.issn:1000-4548.2008.11.008 SHENG Jin-bao, LIU Jia-xin, ZHANG Shi-chen, et al. Investigation and analysis of failure mechanism of reinforced dams[J]. Chinese Journal of Geotechnical Engineering, 2008, 30(11): 1620–1625. (in Chinese) doi: 10.3321/j.issn:1000-4548.2008.11.008
[4]	杨德玮, 盛金保, 彭雪辉, 等. BREACH模型与MIKE21模型在溃坝风险中的耦合分析[J]. 水利水运工程学报, 2016(6): 23–28. https://www.cnki.com.cn/Article/CJFDTOTAL-SLSY201606004.htm YANG De-wei, SHENG Jin-bao, PENG Xue-hui, et al. Coupling analysis of MIKE21 model and BREACH model for dam-break risk[J]. Hydro-Science and Engineering, 2016(6): 23–28. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SLSY201606004.htm
[5]	盛金保, 王昭升. 水利讲坛第十四讲: 水库大坝安全评价[J]. 中国水利, 2010(4): 63–66. doi: 10.3969/j.issn.1000-1123.2010.04.023 SHENG Jin-bao, WANG Zhao-sheng. Lecture 14: Safety evaluation of reservoir dam[J]. China Water Resources, 2010(4): 63–66. (in Chinese) doi: 10.3969/j.issn.1000-1123.2010.04.023
[6]	杨德玮, 彭雪辉, 盛金保. 基于大坝缺陷的群坝风险排序方法研究[J]. 安全与环境学报, 2016, 16(2): 11–15. https://www.cnki.com.cn/Article/CJFDTOTAL-AQHJ201602004.htm YANG De-wei, PENG Xue-hui, SHENG Jin-bao. On the dams risk sequential method based on the analysis of the dam protection and maintenance deficiencies[J]. Journal of Safety and Environment, 2016, 16(2): 11–15. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-AQHJ201602004.htm
[7]	LU X, CHEN C, DONG K, et al. An equivalent method of jet impact loading from collapsing near-wall acoustic bubbles: a preliminary study[J]. Ultrasonics Sonochemistry, 2021, 79: 105760. doi: 10.1016/j.ultsonch.2021.105760
[8]	李庆斌, 马睿, 胡昱, 等. 大坝智能建造研究进展与发展趋势[J/OL]. 清华大学学报(自然科学版): 1–18 [2022-03-05]. DOI. 10.16511/J.cnki.qhdxxb.2022.25.018. LI Qing-bin, MA Rui, HU Yu, et al. A riview of intelligent dam construction techniques[J/OL]. Journal of Tsinghua University (Science and Technology): 1–18[2022-03-05]. DOI. 10.16511/J.cnki.qhdxxb.2022.25.018. (in Chinese)
[9]	CHEN J F, XUE X S, HUANG Y K, et al. Interactive cross-lingual ontology matching[J]. IEEE Access, 2019, 7: 79095–79102. doi: 10.1109/ACCESS.2019.2920881
[10]	徐灵丽, 朱晓坡, 侯一兴, 等. 基于增强色调特征的涵洞裂缝缺陷分割算法[J]. 激光与光电子学进展, 2020, 57(8): 081016. https://www.cnki.com.cn/Article/CJFDTOTAL-JGDJ202008018.htm XU Ling-li, ZHU Xiao-po, HOU Yi-xing, et al. Culvert crack defect segmentation algorithm based on enhanced hue features[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081016. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JGDJ202008018.htm
[11]	CHEN W L, WANG X L, WANG J J, et al. Dynamic interpretation of the factors causing dam deformation with hybrid grey dynamic incidence model[J]. Engineering Structures, 2021, 242: 112482. doi: 10.1016/j.engstruct.2021.112482
[12]	王晓玲, 谢怀宇, 王佳俊, 等. 基于Bootstrap和ICS-MKELM算法的大坝变形预测[J]. 水力发电学报, 2020, 39(3): 106–120. https://www.cnki.com.cn/Article/CJFDTOTAL-SFXB202003011.htm WANG Xiao-ling, XIE Huai-yu, WANG Jia-jun, et al. Prediction of dam deformation based on Bootstrap and ICS-MKELM algorithms[J]. Journal of Hydroelectric Engineering, 2020, 39(3): 106–120. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SFXB202003011.htm
[13]	吕鹏, 王晓玲, 余红玲, 等. 基于FDA的大坝渗流安全动态可拓评价模型[J]. 河海大学学报(自然科学版), 2020, 48(5): 433–439. https://www.cnki.com.cn/Article/CJFDTOTAL-HHDX202005010.htm LU Peng, WANG Xiao-ling, YU Hong-ling, et al. Dynamical and scalable evaluation model for dam seepage safety based on FDA[J]. Journal of Hohai University (Natural Sciences), 2020, 48(5): 433–439. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HHDX202005010.htm
[14]	李俊, 苏怀智, 周仁练. 基于关联规则的土石坝渗流推理预测方法及应用[J]. 水利水电科技进展, 2019, 39(5): 89–94. https://www.cnki.com.cn/Article/CJFDTOTAL-SLSD201905015.htm LI Jun, SU Huai-zhi, ZHOU Ren-lian. Seepage prediction method based on association rules and its application to earth-rock dams[J]. Advances in Science and Technology of Water Resources, 2019, 39(5): 89–94. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SLSD201905015.htm
[15]	FANG Z, SU H Z, WEN Z P. Joint back-analysis for dynamic material parameters of concrete dam based on time-frequency domain information[J]. Structural Control and Health Monitoring, 2019, 26(9): 1–12.
[16]	QI H J, LI T C, LIU X Q, et al. A variable parameters damage model for concrete[J]. Engineering Fracture Mechanics, 2020, 228: 106898. doi: 10.1016/j.engfracmech.2020.106898
[17]	赵兰浩, 郑拓, 贾国新, 等. 水垫塘反拱底板极限荷载非线性有限元计算[J]. 水电能源科学, 2020, 38(1): 86–89. https://www.cnki.com.cn/Article/CJFDTOTAL-SDNY202001022.htm ZHAO Lan-hao, ZHENG Tuo, JIA Guo-xin, et al. Nonlinear finite element method of ultimate load of inverted arch floor of plunge pool[J]. Water Resources and Power, 2020, 38(1): 86–89. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SDNY202001022.htm
[18]	赵兰浩, 郑拓, 杨校礼. 大型弧形钢闸门流激振动数值计算[J]. 水利水电技术, 2020, 51(6): 58–64. https://www.cnki.com.cn/Article/CJFDTOTAL-SJWJ202006007.htm ZHAO Lan-hao, ZHENG Tuo, YANG Xiao-li. Numerical calculation of flow-induced vibration of large-scale steel radial gate[J]. Water Resources and Hydropower Engineering, 2020, 51(6): 58–64. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SJWJ202006007.htm
[19]	LIN C N, LI T C, ZHAO L H, et al. Reinforcement effects and safety monitoring index for high steep slopes: a case study in China[J]. Engineering Geology, 2020, 279: 105861.
[20]	WU Z Y, CHEN J K. Pressure-dependent variability in shear strength of a blasting-quarried granite rockfill material[J]. Soils and Foundations, 2019, 59(6): 2299–2310.
[21]	FAN X F, WU Z Y, LIU L J, et al. Analysis of sluice foundation seepage using monitoring data and numerical simulation[J]. Advances in Civil Engineering, 2019, 2019: 2850916.
[22]	WU Z Y, LI J R, BIAN K, et al. Reliability analysis of slope with cross-correlated spatially variable soil properties using AFOSM[J]. Environmental Earth Sciences, 2021, 80(19): 1–12.
[23]	陈辉, 邓刚, 张延亿, 等. 考虑温度变化和长期变形的面板堆石坝模拟[J]. 水力发电学报, 2021, 40(10): 124–134. https://www.cnki.com.cn/Article/CJFDTOTAL-SFXB202110012.htm CHEN Hui, DENG Gang, ZHANG Yan-yi, et al. Simulation of faced rockfill dams considering temperature change and long-term deformation[J]. Journal of Hydroelectric Engineering, 2021, 40(10): 124–134. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SFXB202110012.htm
[24]	PEI L, CHEN C, HE K, et al. System reliability of a gravity dam-foundation system using Bayesian networks[J]. Reliability Engineering & System Safety, 2022, 218: 108178.
[25]	CHEN B, HU T Y, HUANG Z S, et al. A spatio-temporal clustering and diagnosis method for concrete arch dams using deformation monitoring data[J]. Structural Health Monitoring, 2019, 18(5/6): 1355–1371.
[26]	CHEN S Y, GU C S, LIN C N, et al. Prediction of arch dam deformation via correlated multi-target stacking[J]. Applied Mathematical Modelling, 2021, 91: 1175–1193.
[27]	肖海斌, 陈豪, 陈琨, 等. 漫湾水电站大坝安全诊断与决策支持系统研究与构建[C]// 中国大坝工程学会2019学术年会, 昆明, 2019. XIAO Hai-bin, CHEN Hao, CHEN Kun, et al. Research and construction of dam safety diagnosis and decision support system for manwan hydropower station[C]// Proceeding of 2019 Academic Annual Meeting of China Dam Engineering Society, Kunming, 2019. (in Chinese)
[28]	MAO Y C, GAO J, QI H, et al. Event fusion and decision approach based on node reliability in dam safety monitoring[C]// 2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService), 2019, Newark.
[29]	毛莺池, 王静, 陈小丽, 等. 基于特征组合与CNN的大坝缺陷识别与分类方法[J]. 计算机科学, 2019, 46(3): 267–274. https://www.cnki.com.cn/Article/CJFDTOTAL-JSJA201903040.htm MAO Ying-chi, WANG Jing, CHEN Xiao-li, et al. Dam defect recognition and classification based on feature combination and CNN[J]. Computer Science, 2019, 46(3): 267–274. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSJA201903040.htm
[30]	MAO Y C, ZHANG J H, QI H, et al. DNN-MVL: DNN-multi-view-learning-based recover block missing data in a dam safety monitoring system[J]. Sensors (Basel, Switzerland), 2019, 19(13): 2895.
[31]	CHEN H, MAO Y C, WANG L B, et al. Spatial-temporal features based sensor network partition in dam safety monitoring system[J]. Sensors (Basel, Switzerland), 2020, 20(9): 2517.
[32]	朱沁夏, 张士辰, 杨正华. 水库大坝安全管理预警标准研究[J]. 中国水利, 2020(16): 23–25. https://www.cnki.com.cn/Article/CJFDTOTAL-SLZG202016031.htm ZHU Qin-xia, ZHANG Shi-chen, YANG Zheng-hua. Research on early warning standard of reservoir dam safety management system[J]. China Water Resources, 2020(16): 23–25. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SLZG202016031.htm
[33]	刘帅, 盛金保, 王昭升, 等. 基于模糊神经网络的水电施工安全隐患评价[J]. 水利水运工程学报, 2020(1): 105–111. https://www.cnki.com.cn/Article/CJFDTOTAL-SLSY202001014.htm LIU Shuai, SHENG Jin-bao, WANG Zhao-sheng, et al. Evaluation method for hidden safety dangers of hydropower construction based on fuzzy neural network[J]. Hydro-Science and Engineering, 2020(1): 105–111. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SLSY202001014.htm
[34]	XU G Y, JING Z X, MAO Y C, et al. A dam deformation prediction model based on ARIMA-LSTM[C]//2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService), 2020, Oxford.
[35]	何露, 王士军, 谷艳昌, 等. 土石坝渗压水位极值预测[J]. 水利水运工程学报, 2021(4): 29–35. https://www.cnki.com.cn/Article/CJFDTOTAL-SLSY202104004.htm HE Lu, WANG Shi-jun, GU Yan-chang, et al. Prediction of seepage water level extremum of earth rock dam[J]. Hydro-Science and Engineering, 2021(4): 29–35. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SLSY202104004.htm
[36]	陈剑, 毛才传, 严吉皞, 等. 水库GIS智能巡检系统研究与应用[J]. 水利信息化, 2020(4): 37–41, 29. https://www.cnki.com.cn/Article/CJFDTOTAL-SLSW202004012.htm CHEN Jian, MAO Cai-chuan, YAN Ji-hao, et al. Research and application of GIS intelligent patrol system for reservoir[J]. Water Resources Informatization, 2020(4): 37–41, 29. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SLSW202004012.htm
[37]	中国工程建设标准化协会. 混凝土结构耐久性电化学技术规程: T/CECS 565—2018[S]. 2018. Technical Specification of Electrochemical Technology for Durability of Concrete: T/CECS 565—2018[S]. 2018. (in Chinese)
[38]	混凝土结构用有机硅渗透型防护剂应用技术规程: T/CCES 12—2020[S]. 2020. Technical Specification of Organosilicon Permeating Protective Agents Applied for Concrete Structures: T/CCES 12—2020[S]. 2020. (in Chinese)
[39]	混凝土抗氯离子渗透性能的交流电测量方法: T/ASC 16—2020[S]. 2020. Alternating-Current Method for Measuring Chloride Penetration Resistance of Concrete: T/ASC 16—2020[S]. 2020. (in Chinese)
[40]	水利水电工程白蚁实时自动化监测预警系统技术规范: T/CHES 43—2020[S]. 2021. Technical Specification for Realtime Automatic System for Monitoring and Alerting Termites in Water and Hydropower Projects: T/CHES 43—2020[S]. 2021. (in Chinese)