Speech Title: Core functions and applications of mathematical models in smart pipe
networks

Research Field: Pipeline network mathematical model and calculation method

Individual Resume: Liu Suiqing, professor at Tongji University, is engaged in
research and teaching on optimization theory and computer software development for water
resource systems and urban water supply and drainage projects. He is the editor-in-chief
of professional monographs such as "Water Supply and Drainage Pipeline System", and has
guided more than 70 graduate students and postdoctoral researchers. His scientific
research results won the second prize of Shanghai Science and Technology Progress Award.

Speech Abstract: This speech is dedicated to reviewing the development history and
application status of pipe network mathematical models, and expounding the core
component functions and key technical positioning of mathematical models in smart pipe
network systems. Organizing and deepening the theoretical research and software
development technology application of pipe network mathematical models is the
fundamental way to achieve the construction of a smart pipe network management technical
talent base and the sustainable development of science and technology. It has important
national development strategic significance and social and economic value in promoting
the development of my country's digital economy and the digital transformation of the
industry.

Speech Title: Sober thinking on the water affairs big model: data barriers and
application exploration under the technological carnival

Research Field: Exploration of the application of artificial intelligence in water
conservancy, water affairs and environmental protection

Individual Resume: Wang Qiuwan, General Manager of Water Conservancy and Water
Affairs Industry of Baidu Smart Cloud. PhD from Peking University (Smart Water Affairs),
18 years of technical and project management experience in water affairs, energy and
environmental protection. Currently serving as Deputy Secretary-General of the
Artificial Intelligence Committee of the Chinese Society of Environmental Sciences,
member of the Smart Water Affairs Committee of the China Urban Water Supply and Drainage
Association, member of the Water Ecology Branch of the Chinese Society of Urban Science
Research, review expert of the National Water Pollution Control and Governance Science
and Technology Major Project, and International Registered Project Manager IPMP. She has
been engaged in the exploration of artificial intelligence technology in the fields of
water conservancy, water affairs and ecological environment for a long time, and is
familiar with the digital transformation planning in the field of water affairs and
environmental protection. She has presided over more than 20 smart water affairs
projects and more than 10 water conservancy and water affairs and ecological environment
projects based on large models. As the main implementer, she participated in the
research and development and promotion of "precise aeration and intelligent dosing
energy-saving and consumption-reducing control technology for sewage treatment plants".
This technology was successfully selected into the "2019 National Advanced Pollution
Control Technology Catalog (Water Pollution Control Field)" (a total of 26 items
nationwide). She has presided over the planning and implementation of smart water
projects with a scale of over 100 million in super first-tier cities, the application
and construction of mechanism and mathematical hybrid modeling technology for municipal
sewage treatment plants, the implementation of video intelligent inspection applications
based on machine vision for municipal water plants/waste incineration plants, and the
construction of the first water plant intelligent dispatching center based on large
models. She presided over the preparation and release of the first "Water Industry Big
Model White Paper" in the industry, participated in the formulation of the first
municipal public utility industry video intelligence group standard, and participated in
the formulation of the first ISO Smart Water international smart water service guideline
standard. She has 4 journal papers and 3 authorized invention patents.

Speech Abstract: When general big models such as DeepSeek cause anxiety about the
industry's intelligent upgrade, this report, based on the actual experience of big model
projects, builds a systematic breakthrough framework with three "cold thinking": from
the data dimension, face the current situation of "multi-power separation" of scene
data, and analyze the dilemma and reasons of scene data barriers. From the law
dimension, through the screening principles of scene application practice, combined with
the value closed loop to drive the scene efficiency improvement in the field of water
affairs and environmental protection. From the practice dimension, through the
ecological environment monitoring big model case, the provincial and ministerial water
conservancy knowledge big model, the sewage big model of a water group and other
practical cases, the complete path from technology verification to industrial
transformation is revealed. Finally, the questioning and proposal of building a big
model for the water industry are proposed to further find a landing plan that balances
technical efficiency and scene value.

Speech Title: Water innovation framework based on big model

Research Field: Application of artificial intelligence technology in the water
industry

Individual Resume:Yang Bin, Chairman of Beijing Jinkong Data Technology Co., Ltd.,
holds an EMBA from Tsinghua University and a graduate student in artificial
intelligence. He is a national first-class constructor, senior engineer, and senior
project manager. His main research direction is the application of artificial
intelligence technology in the water industry. He serves as a standing member of the
Smart Water Affairs Committee of the China Water Association, a standing member of the
Youth Committee, and a standing member of the Digital China Committee of the
International Water Association (IWA). He presided over a demonstration project of the
national "13th Five-Year Plan" water special project, and has obtained more than 30
invention patents, 1 first prize in China's Environmental Protection Science and
Technology Progress, 1 second prize in China's Instrument Society Science and Technology
Progress, and 1 second prize in China's Environmental Protection Machinery Association
Technology Innovation.

Speech Abstract:The AI ​​era represented by big models has
brought shocks and
challenges to various industries and will have far-reaching impacts. Based on this
background, the innovation methods of the water industry will be rewritten. This report
proposes a water innovation framework based on big models, and attempts to share and
inspire the industry from a methodological perspective.

Speech Title: Practice and exploration of building a reliable drainage network
perception system

Research Field:Drainage network monitoring

Individual Resume: Zhao Dongquan, a doctoral graduate from Tsinghua University,
holds senior professional titles in water supply and drainage and computer science. He
has participated in the compilation of more than 10 national or group standards,
published a related monograph, and published more than 110 professional articles in
domestic and foreign professional journals. He has won five provincial and ministerial
awards, including the Beijing Science and Technology Progress First Prize, and has
worked part-time in many industry associations, including the China Water Association,
the China Municipal Association, and the IWA Digital Water China Chapter.

Speech Abstract:This speech targets the needs of drainage network monitoring and
perception, and introduces the relevant technical points of building a drainage network
perception system from the aspects of ensuring the effectiveness, consistency and
reliability of monitoring data, including the formulation of monitoring plans, the
development and application of reliable equipment, and the application mode of
monitoring data. Combined with Qinghuan's practice and exploration experience in
drainage network perception system, we will discuss with the participants how to build a
more reliable and effective drainage network perception network.

Speech Title: Practice and thinking of real-time online model in pipe network management

Research Field: Simulation of water supply and drainage networks to optimize operations

Individual Resume: Yu Liang, the founder of Shanghai Huishui Technology Co., Ltd., has
more than 20 years of experience in water supply and drainage model research and practice. He
has worked for several multinational companies and participated in the construction of water
supply network models in many large and medium-sized cities, as well as the compilation of
numerous water supply and drainage model industry standards. The two software programs,
WaterDesk and StormDesk, developed by him, are widely praised within the water industry.

Speech Abstract:In recent years, the development of smart water services has flourished,
and the importance of real-time online hydraulic models in the intelligent development of water
supply enterprises has become increasingly prominent. With many years of experience, the speaker
will discuss the advantages and challenges of real-time online models from the perspective of
industry background and the development history of water supply models. Against the backdrop of
artificial intelligence becoming fully integrated into production and daily life, the speaker
will further explore the water industry's expectations for mechanism models and the potential
future technological trends.

Research Field:Development of innovative solutions for urban water management and
environmental biotechnology through effective integration of fundamental science and
engineering.

Individual Resume:Professor Zhiguo Yuan AM, Chair Professor of Urban Water Management and
a Global STEM Professor at School of Energy and Environment, City University of Hong Kong. He is
a Fellow of the Australian Academy of Technology and Engineering and a Distinguished Fellow of
the International Water Association. He is a Clarivate Highly Cited Researcher, Editor-in-Chief
of Water Research X, and a Member of the Order of Australia. His research focuses on development
of innovative solutions for urban water management and environmental biotechnology through
effective integration of fundamental science and engineering. He published ~600 fully refereed
journal papers including papers in Nature, Science, Nature Microbiology, Nature Sustainability,
Nature Water, Nature Communications and PNAS, which attracted >58,000 citations, giving an
h-index of 130 (GS, April 2025). He is the founder of three biotechnology businesses. His
research achievements and leadership have been recognized through major national and
international awards including the 2015 ATSE Clunies Ross Award and the 2014, 2024 International
Water Association (IWA) Global Project Innovation Awards.

Speech Title: The revelation of artificial intelligence and the path to digitalization of
water services

Research Field: Database, Data Management, Digital Transformation, Fintech, Education
Technology

Individual Resume:Zhou Aoying, professor of School of Data Science, East China Normal
University, director of Database Committee of Computer Society of China, chairman of Shanghai
Computer Society, president of Shanghai Artificial Intelligence and Social Development Research
Association, and deputy Editor-in-Chief of Journal of Computer Science. He was the Director of
Department of Computer Science, Fudan University (1999-2002) and Vice President of East China
Normal University (2016-2023).

Speech Abstract: The current AI is data-driven AI, which is intelligent automation. From
big data to AI and then to digital transformation, the logic is consistent. Digitalization is
data-based and digital intelligence. The AI ​​craze inspires us to
rethink our understanding of science and data. AI itself is a new technological revolution, and
mankind is on the eve of the birth of a new science. Data is a new driving force. Data is to
digitalization as electricity is to electrification. Digital transformation is an inevitable
trend in the development of the water industry. Data empowerment and technological assistance
are the realistic paths for the digital transformation of water services, with the goal of
realizing smart water services.

Speech Title: Smart Mapping of Hong Kong's Water Pulse - Hong Kong's Smart Water Strategic
Roadmap and Urban Resilience Practice

Research Field:Drainage network monitoring

Individual Resume: Smart city cross-domain big data analysis, public works digital
transformation policy implementation, artificial intelligence customer service

Speech Abstract: Zhou Qikeng (Daniel) , working at the Digital Water Office of the Water
Supplies Department of Hong Kong, is also a lecturer at the University of Hong Kong and the
Specialized Training School of the Hong Kong Police Force. He has obtained professional
qualifications from the Massachusetts Institute of Technology, the Royal Town Planning
Institute, the Engineering Council of the United Kingdom, the Guangdong-Hong Kong-Macao Greater
Bay Area Engineering Talent Scheme, and the Hong Kong Institution of Engineers.

Research Field:Industrial wastewater and water pollution prevention and control in
industrial parks

Individual Resume: Ren Hongqiang, an environmental engineering expert, academician of the
Chinese Academy of Engineering, professor and doctoral supervisor at Nanjing University, head of
the "Industrial Wastewater Treatment Technology and Equipment" of the National Excellent
Engineer Team, head of the "Water Quality Risk Control Engineering" of the Basic Science Center
of the National Natural Science Foundation, etc. He has been engaged in innovative research on
industrial wastewater and industrial park water pollution prevention and control for a long
time, and has achieved systematic innovative results in biological treatment intensification
theory, technology and equipment, and has opened up a new field of research on
efficiency-enhancing control technology and engineering application of complex wastewater
biological treatment in my country, and has made important contributions to the practice of
standard discharge, efficiency improvement, and recycling and reuse of wastewater treatment in
chemical, pharmaceutical, printing and dyeing and their parks. He has published more than 260
papers (more than 160 of which are included in SCI) and 4 monographs; obtained more than 120
Chinese invention patents and more than 40 invention patents in the United States and the
European Union; compiled more than 100 international/national/industry/group standards; and won
three second prizes in the National Technological Invention Award, one second prize in the
National Natural Science Award, one second prize in the National Teaching Achievement Award,
seven first prizes at the provincial and ministerial levels, the ISO Outstanding Contribution
Award, and the Ho Leung Ho Lee Foundation Science and Technology Innovation Award.

Speech Title: Smart simulation and dispatching practice in Nantai Island, Fuzhou

Research Field:Urban flood simulation and real-time dispatch

Individual Resume: Liao Weihong, deputy director of the China Institute of Water Resources
and Hydropower Research. Her research interests include flood forecasting and joint dispatching
of water projects. She has presided over two National Natural Science Foundation projects, two
National Key R&D Program projects, and undertaken more than 20 other projects. She has
published more than 140 papers, more than 60 of which have been indexed by SCI and EI, published
five monographs, obtained 20 invention patents, and won two provincial and ministerial first
prizes.

Speech Abstract:In the context of the continuous advancement of digitalization in the
water industry, this study takes Nantai Island in Fuzhou as the research object and actively
explores the deep integration of digital technology and water management. This report focuses on
the construction of a high-precision hydrological and hydrodynamic model for the region, the
integration of monitoring data and meteorological forecast information to drive real-time
simulation, dynamic scheduling and emergency response mechanisms, etc. Based on multi-scenario
scheduling strategies and dynamic data support, intelligent auxiliary decision-making for flood
control and drainage, energy consumption control and scheduling management is achieved, which
significantly improves the scientificity and agility of regional scheduling.

Speech Title: Integrated smart dispatching of Shanghai drainage plant network

Research Field:Drainage information

Individual Resume: Zhang Yanjing, working at Shanghai Chengtou Water Group Co., Ltd. as a
senior engineer, has been engaged in drainage information construction and scientific research
innovation for many years.

Speech Abstract: With the continuous construction and improvement of the drainage
facilities system in the central urban area of ​​Shanghai, a
coordinated drainage system layout has been formed in the three major areas of Bailonggang,
Zhuyuan and Shidongkou. In order to achieve safe and efficient operation, Shanghai Drainage has
continued to promote the construction of an integrated platform with the goal of building a
full-link smart drainage management system in recent years. The exchanges and sharing at this
forum mainly revolve around the construction practice of the plant-network integrated smart
dispatching platform in terms of perception monitoring, diagnosis and early warning, situation
prediction, and operation strategy.

Speech Title: Application and demonstration of artificial intelligence in water supply network

Research Field:Big data, Artificial Intelligence

Individual Resume: Tan Songbai, Master, Senior Engineer, Director of Chongqing Water Group, Executive Director of Chongqing Yuantong Electronics, Standing Committee Member of the Smart Water Committee of the International Water Association (China) and China Water Association, has presided over or participated in many national and municipal water-related research projects, and has won many honorary titles such as National and Municipal Outstanding CIO.

Speech Abstract: Taking water affairs big data as the object, big computing power as the cornerstone, and big models as the core, he will tap into the professional knowledge formed by human experience, simulate the concept of artificial intelligent control, and develop data-driven artificial intelligence + water supply network applications. He will fully demonstrate the high-tech, high-efficiency, and high-quality characteristics of new quality productivity for specific water affairs application scenarios. He will focus on the application, transformation, and promotion of new quality productivity in water supply networks, and fully demonstrate the fruitful results achieved by Chongqing Water Affairs in innovatively applying new quality productivity to promote high-quality development of enterprises.