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.

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.

Speech Title: Digital Transformation and Latest Applications of Artificial Intelligence
in
Shenzhen

Individual Resume:

● Party Secretary and Chairman of Shenzhen Environmental Water Affairs Group

● Nearly 30 years of experience in water resources management

● Head of the Science and Technology Committee of the China Urban Water Supply and
Drainage
Association

Speech Title: Editor-in-Chief of the "Digitalization and Data Management" Series

Individual Resume: Wang Guangsheng, serves as Vice President of the China Water
Association and
Director of the Science and Technology Committee.

Speech Abstract: Artificial Intelligence is transforming various fields, and it is
also
changing how we manage data. From data collection to storage and application, generative AI
is revolutionizing our thinking and methods. As data professionals, how should we face this
transformation?

Speech Title: Two Project Paths for Digital Transformation: Smart Management Platform
and
Integration of Business and Finance

Research Field: Smart Water Affairs, Smart Water Plants, Water Affairs Operation
Management, Digital Transformation

Individual Resume: Pu Wenpeng, graduated from Tsinghua University's Faculty of
Environmental Engineering in 1995. He has been engaged in municipal industry design,
construction, and technical development for a long time. In 2014, he joined China
Everbright Environment Group Co., Ltd. where he worked on research and engineering
practice in solid waste disposal technology and sponge city projects at its
Environmental Technology Research Institute. Since 2016, he has served as Deputy General
Manager of the Technology Center of China Everbright Water Affairs Co., Ltd., leading
the company's product development. After 2018, he dedicated himself to developing smart
water affairs solutions, holding patents and achievements for precise aeration,
intelligent dosing, and intelligent inspection products. Currently, he is the General
Manager of the Operations and Information Management Department of China Everbright
Water Affairs Co., Ltd., responsible for enterprise operation management, information
construction, and digital transformation.

Speech Abstract: The digital transformation of enterprises is often carried out
through
information technology consulting projects. In conglomerates, there are two common types
of projects: one is the intelligent management platform project focused on the
perspective of business management, and the other is the integrated project of business
and finance focused on the perspective of capital flow. What are the characteristics of
each? What are their advantages and disadvantages? How should enterprises make a choice?
For this purpose, experiences are shared and analyzed.

Speech Title: From Digital to Intelligent: Reconstructing the Value Axis of the Water
Affairs Industry with Intelligence

Research Field: Artificial Intelligence + Water Affairs

Individual Resume: Feng Jiang, is an AI solution expert at a telecommunications AI
company and a standing member of the IWA China Digital Water Committee. He is a
senior engineer in water supply and drainage, with extensive experience in smart
water affairs planning, design, construction, and operation support. Leveraging his
rich practical experience in digital water affairs, he explores the application of
large model technology as a representative new productive force in the water affairs
industry, driving leapfrog development in the sector.

Speech Abstract: Artificial intelligence has entered a revolutionary stage of
development, with the birth of the national-level large model DeepSeek accelerating
China's AI strategic layout. How to apply large model technology to traditional
industries and generate practical business value is a concern for every water
affairs professional. Intelligent agents are recognized as an important carrier and
necessary path for the implementation of large models. Excellent cross-industry
cases and pioneering enterprise practices are worth learning from and contemplating
by water affairs professionals. Factors such as platform foundation, scenario
analysis, personnel training, and application ecosystems will become key to
achieving digital intelligence leaps in water affairs enterprises in the AI era.

Speech Title: New thinking on innovation of smart water standards

Research Field: Water pollution control

Individual Resume: Huang Hui, professor and doctoral supervisor at Nanjing University, national high-level young talent, mainly engaged in water quality risk control technology research and teaching, won the ISO Outstanding Contribution Award, the Geneva International Invention Exhibition Gold Award, etc., and concurrently serves as the manager of the International Organization for Standardization Industrial Water Reuse Technical Committee (ISO/TC282/SC4), convener of the Smart Water Management Working Group (ISO/TC224/WG15), etc.

Speech Abstract: The report systematically introduces the domestic and international standard innovations of smart water services from five aspects: construction needs, development status, exploration and practice, innovative thinking, and development prospects. It points out the key points and directions for leading and supporting the innovative development of the smart water industry through standardization construction.

Speech Title: AI Agents Reshaping the Application Paradigm of Smart Water Management

Individual Resume: Dr. Tian Zhimin is a postdoctoral researcher from the Department of Computer Science at Tsinghua University and currently serves as General Manager of Xiongan Ruitian Technology Co., Ltd. His work focuses on big data, cloud computing, artificial intelligence, and smart water management. As a lead researcher, he has presided over or participated in 7 national-level projects and 4 provincial or ministerial-level projects. He has published over 20 academic papers, including more than a dozen indexed by SCI and EI. Dr. Tian holds 23 national invention patents and 36 software copyrights. He is also a marathon enthusiast, having completed over 60 marathons and more than 20 ultramarathons exceeding 100 km.

Speech Abstract: With the rapid advancement of AI, intelligent agents are becoming the key enablers for implementing artificial intelligence in the water industry. Building a water-industry-centered ecosystem of AI agents represents a crucial model for future operations of water utilities and enterprises. This presentation will start with the essence of AI, review the development of smart water systems, and explore methods for reshaping their application models using AI agents—ultimately driving the evolution of smart water management.

Speech Title: Exploring AI Applications in Water Plants

Research Field: AI + Water Industry

Individual Resume: Zhang Qiaozhen joined Qingyuan Huayan Water Co., Ltd. in Suzhou Industrial Park in 2014 as a Director. In December 2023, she became the General Manager of Pingxing Digital Technology (Jiangsu) Co., Ltd. Since taking office, she has led the development and deployment of digital applications across the water sector, achieving remarkable results and widespread recognition. ● The "Jiangsu Provincial Guidelines for the Improvement and Efficiency Enhancement of Urban Wastewater Treatment" (2021) ● The "Jiangsu Provincial Guidelines for Smart Water Supply Construction" (2024)

Speech Abstract: ● Water Quality Monitoring and Management: Real-time Monitoring and Analysis: IoT sensors collect water quality data, which is analyzed in real time using AI algorithms. This enables accurate identification of trends, high-precision forecasting, and early detection of potential pollution risks. ● Equipment Maintenance and Management: Fault Prediction and Diagnosis: Intelligent vibration and temperature sensors collect operational data. Using industry-specific algorithms and fault databases, the system detects hidden issues at the component level, effectively acting as a "24/7 online doctor" for equipment. Smart Inspections: Digital twin technology enables virtual inspections through digital inspectors, increasing frequency and reducing labor costs. Integration with surveillance systems allows for automated cross-verification and instant alerts for anomalies. ● Production Scheduling and Optimization: Smart Decision-Making: AI systems adapt operational decisions based on changes in water quality, quantity, and process conditions. These systems optimize blower airflows, chemical dosing, and recirculation to boost efficiency and minimize risks. Precision Dosing: Leveraging big data and machine learning, an adaptive carbon source control agent analyzes historical data to predict water quality trends and calculate the optimal dosage and timing, ensuring stable compliance while reducing chemical consumption.

Speech Title: Application practice of smart water management and control platform based on Information technology application innovation industry

Research Field: Automation software, MES software, smart water platform and industrial Internet platform

Individual Resume: Zhang Jinqiang, Deputy General Manager of Beijing WellinTech Co.,Ltd., joined WellinTech Co.,Ltd. in 2001. He organized and planned the "First Water Industry Information Technology Application Summit Forum" held by the National Diaoyutai State Administration for Industry and Information Technology. He has been engaged in the smart water industry for more than 20 years, leading the design of multiple solutions for water conservancy and water supply and drainage, and has participated in many large-scale national projects, including the largest pumping station project in Asia, the largest water plant project in Asia, the South-to-North Water Diversion Project, and the Yangtze River Three Gorges Ship Lock Simulation Project. He has rich experience in automation software, MES software, smart water platform and industrial Internet platform, and serves as an expert in many authoritative industry organizations in the industry.

Speech Abstract: Driven by the strategy of digital innovation in water management, WellinTech has developed a fully autonomous and controllable industrial software ecosystem. At its core is the KingSCADA 4.0 Information-Innovation Edition, with the KingWater Smart Water Platform serving as the foundation. The company has achieved a product code autonomy certification rate of 99.9% and successfully completed the Information Security Level 2.0 (Class 3) security assessment. These accomplishments ensure full-stack compatibility with domestic CPUs (such as Kunpeng, Feitian, etc.) and operating systems (including Kylin, Tongxin UOS, etc.). This platform integrates data acquisition (supporting over 6,000 protocols, including Modbus and OPC UA), intelligent monitoring (capable of refreshing millions of data points per second), and decision optimization. It has been validated in flagship projects such as the Beijing Yizhuang Water Plant and the Suzhou Wujiang Recycled Water Project, demonstrating capabilities across all scenarios—from seamless migration of imported systems and integration of heterogeneous equipment configurations to AI-powered plant-network collaboration. Yakong Technology provides the water industry with a robust digital transformation platform that meets trusted compliance standards while ensuring practical engineering applications.