科研项目：

1. 供水管网漏损自动识别关键技术与智能化装备研发，浙江大学长三角智慧绿洲创新中心攻坚计划

2. 城市供水管网泄露在线监测关键技术研究，宁波市重点研发计划暨“揭榜挂帅”

3. 城市供水管网漏损信号检测系统开发，企业委托课题

4. 智能电子听漏仪技术及装备研发，企业委托课题

5. 供水管网健康状态评估与维护技术优化遴选研究，国家重点研发计划课题

6. 异构数据耦合及多维度信息模型自动创建技术研究，国家重点研发计划任务

7. 城市原水系统多水源一体化智能调度模型研究，浙江省基础公益研究计划项目

8. 供水管网瞬态负压时外源入侵机理研究，国家自然科学基金面上项目 

9. 城镇供水管网漏损监测预警技术与设备研发,国家重点研发计划课题 

10. 湖州南太湖水源供水区饮用水安全保障综合应用示范，国家科技重大专项课题 

11. 供水管网智能漏损监控平台开发与示范，国家重点研发计划课题 

12. 城乡一体化供水管网水质稳定达标及应急处置关键技术研究，浙江省科技计划项目 

13. 供水管网监测网络及水力水质模型优化技术研究，国家科技重大专项任务 

14. 城乡统筹管网安全供水技术集成研究，国家科技重大专项课题 

15. 供水系统安全保障与智能调控技术，国家高技术研究发展计划（863计划）课题 

16. 实现安全供水的管网布局优化与改造诊断技术，国家科技重大专项任务 

17. 平原河网水源突发污染事故城市供水应急处置系统研究与工程示范，国家科技重大专项课题 

18. 城市供水系统突发性污染源逆向追踪技术研究，国家自然科学基金青年项目

部分期刊论文：

1. Chang Wang, Zhihong Long, Sen Lin, Yu Shao, Tingchao Yu*，Failure modeling of the small and medium-sized water distribution networks based on hybrid ranking model. (ASCE).  Journal of Water Resources Planning and Management，2026, 152(3): 04025076

2. Wanhao Lin, Peng Wang, Jie Fei, Qiao Xu, Yao Tong, Tuqiao Zhang, Yu Shao, Tingchao Yu*, Optical Fiber Distributed Acoustic Sensing for the Leakage Diagnosis Using Modal Separation Algorithms, Applied Acoustics,Volume 242, 15 January 2026, 111056.

3. Shaosong Wei, Chengyin Liu, Zhigang Liu, Shipeng Chu, Tingchao Yu*, Pressure Sampling Design in Water Distribution Systems Using Graph Partitioning and Entropy, AQUA - Water Infrastructure, Ecosystems and Society (2025) 74 (12): 839–856.

4. Tingchao Yu, Chenhao Xue, Jiandong Yang, Xianping Zhou, Yonggang Shen, Chao Lin, Zhenwei Yu. Research on the detection method for water-filling ratio of non-metallic drainage pipelines based on GPR,AQUA - Water Infrastructure, Ecosystems and Society (2025) 74 (9): 565–578.

5. Zekun Zou, Zhihong Long, Zipeng Zhu, Yu Shao, Tingchao Yu*，Explainable graph neural network for real-time demand states forecasting in water distribution system，Results in Engineering Volume 27, September 2025, 106911.

6. Chang Wang, Zhigang Liu, Jie Fei, Zhihong Long, Peng Wang, Tingchao Yu, Evaluating the generalizability and transferability of acoustic leak detection models for water distribution networks, Water Research, Volume 286, 1 November 2025, 124273.

7. Tingchao Yu, Lingwei Li, Chengyin Liu, Hao Shen, Yu Shao, Shipeng Chu*，Optimal Location and Setting of Pressure Reducing Valves in Water Distribution Networks Considering the Building Hydraulic Characteristics，ASCE's Journal of Water Resources Planning and Management, 2025, 151(9): 04025046.

8. Chang Wang, Hua Zhou, Sen Lin, Xiaodan Weng, Yu Shao, Tingchao Yu*，A hybrid deep survival model for failure modeling of water distribution networks coupling physical survival and data reconstruction, Reliability Engineering & System Safety, Volume 264, Part B, 2025, 111401

9. Tingchao Yu, Zekun Zou, Yanwei Cai, Hua Zhou, Shipeng Chu*, Feifei Zheng, Pressure Sensor Placement for Pipe Burst Detection and Localization in Water Distribution System, ASCE Journal of Water Resources Planning and Management, 2025, 151(7): 04025024

10. Chang Wang, Wei Qian, Songtu Shen, Yu Shao, Tingchao Yu, Shipeng Chu, An enhanced semi-supervised model for acoustic leak detection in water distribution networks, Automation in Construction 175 (2025)106228

11. Tingchao Yu, Shaosong Wei, Zhihong Long, Tuqiao Zhang, Shipeng Chu，Bayesian Inference for the Urban Drainage Models Uncertainty Quantification Based on Heteroscedastic Residual Assumption，Water Resources Management, Published online: 19 March 2025.

12. Chang Wang; Xiaoyan Chen; Yuexia Xu; Weimin Yan; Yang Yang; Yu Shao; Tingchao Yu*, A two-stage leak monitoring framework based on acoustic signals: optimize the management of water distribution networks，Mechanical Systems and Signal Processing, Volume 225, 15 February 2025, 112275

13. Huimin Yu, Sen Lin, Hua Zhou, Xiaodan Weng, Shipeng Chu, Tingchao Yu*, Leak Detection in Water Distribution Networks Based on Deep Learning and Kriging Interpolation Method. AQUA - Water Infrastructure, Ecosystems and Society，Vol 73 No 8, 1741

14. Zhang, Xiangqiu, Yongjun Fang, Xinhong Zhou, Yu Shao, and Tingchao Yu*. Multi-Stage Burst Localization Based on Spatio-Temporal Information Analysis for District Metered Areas in Water Distribution Networks. Water2024, 16, 2322.

15. Zhihong Long, Gang Xu, Xiaoyan Chen, Yu Li, Tingchao Yu*，In-line valve condition assessment by transient analysis, Water-Energy Nexus, Volume 7, December 2024, Pages 175-186

16. Huimin Yu, Hua Zhou, Xiaodan Weng, Zhihong Long, Yu Shao and Tingchao Yu*，An angle-based leak detection method using pressure sensors in water distribution networks, AQUA — Water Infrastructure, Ecosystems and Society Vol 72 No 12, 2216

17. Xiangqiu Zhang, Xuewei Wu, Yongqin Yuan, Zhihong Long and Tingchao Yu*, Burst detection based on multi-time monitoring data from multiple pressure sensors in district metering areas, Water Supply 2023, Vol 23 No 10, 4074 doi: 10.2166/ws.2023.220.

18. Tingchao Yu, Xiaoyan Chen, Weimin Yan, Zhen Xu, Miaomiao Ye, Leak detection in water distribution systems by classifying vibration signals，Mechanical Systems and Signal Processing 185 (2023) 109810

发明专利：

1. 一种非金属排水管充水率检测方法，ZL 2025 1 1294295.2，

2. 一种城市供水管网节点压力的预测方法，ZL202411056687.0

3. 一种基于增强半监督模型的供水管网声漏损检测方法，ZL202411509753.5

4. 一种基于声信号的配水管网两阶段泄漏监测方法及装置，ZL202410716635.5

5. 一种基于深度学习模型的供水管网漏损监测方法及装置，ZL202410680933.3

6. 一种基于主动低频声波激励的供水管道漏损识别方法及装置，ZL202411340855.9

7. 服务于供水管网水力模型校核的新增监测点布置方法及装置，ZL202210622119.7

8. 服务于大型改建扩建供水管网的厂站联控优化调度方法，ZL2022103903565

9. 一种用于城市供水管网监测点的布置优化方法，ZL202210332084.3

10. 一种用于城市供水管网爆管的定位方法，ZL202210332100.9

11. 一种用于供水管网节点需水量实时校核的异步传感器系统设计方法，ZL202111313390.4

12. 一种基于瞬变流的阀门状态探测系统和方法，ZL202110688546.0

13. 服务于大型改扩建供水管网的区域泵站优化选址方法，ZL202110688561.5

14. 一种基于改进模块度指标的供水管网优化分区方法，ZL202011517573.3

15. 一种供水管网测压点多目标优化布置方法，ZL202011517387.X

16. 基于时间序列监测数据分析的供水管网漏损报警阈值选取方法，ZL201910458582.0

17. 基于时间序列分析的供水管网漏损监测预警方法，ZL201910458598.1

18. 一种同时耦合多种先验概率分布的供水管网节点需水量校核方，ZL201910402643.1

19. 一种基于供水管网压力变化值分析的爆管定位方法，ZL201810555860.X

20. 服务于供水管网爆管监测的测压点优化布置方法，ZL201810041602.X

21. 一种基于图论分解的城镇供水管网工程优化设计方法，ZL201810222872.0

22. 一种基于瞬变模拟的供水管网串联管道简化方法，ZL201810219534.1

23. 基于需水量先验信息的供水管网节点需水量校核方法，ZL201711279379.4

24. 一种含大用户用水信息的城市供水管网节点需水量反演方法，ZL201710173684.9

25. 服务于供水管网节点需水量反演的管网监测点优化布置方法，ZL201710173558.3

26. 一种针对多水源供水管网的供水优化分区方法，ZL201710667801.7

27. 一种基于压力监测的供水管网漏失区域快速识别方法，ZL201710600678.7

28. 一种节点流量和管道阻力系数同时调整的供水管网模型快速校正方法，ZL201710667800.2

29. 一种体积法测量管网外源入侵的系统和方法，ZL201510256800.4

1、 供水管网漏损自动识别算法及智能装备开发，漏损自动识别算法公开版可见网站：https://www.futurewaterlab.cn/

2、 供水管网水力模型和优化调度系统开发

3、 人工智能在供水行业相关应用技术服务

1. 南方超大型城市供水管网压力监测智能评估及优化布局关键技术研究，广东省市政行业协会科学技术奖一等奖，2025

2. 城市复杂供水管网实时水力模拟与精准调控关键技术，大禹水利科学技术奖二等奖，2024 

3. 城市供水管网水质安全保障关键技术及应用，国家科学技术进步奖二等奖，2021

4. 住房城乡建设部“十一五”科技创新先进个人，住房和城乡建设部，2013