Low-source high-peak water supply technology based on AI digital condition

Abstract

Based on the reclaimed water low-source high-peak water supply technology under the AI digital condition, the system breaks through the limitation of a centralized water supply mode of a traditional reclaimed water system by surrounding five core functions of multi-water-source collaborative water taking, intelligent pipe network scheduling, distributed water storage adjustment, nearby multi-water-quality water supply and automatic control system linkage; the modular and distributed design concept is innovatively introduced, and the AI algorithm and the Internet of Things sensing technology are combined, so that intelligent linkage and on-demand adjustment of the whole process from water taking, processing, conveying, water storage to water supply are achieved.

Description

Technical Field

[0001] Overall system structure design including "multi-source coordinated water intake, intelligent pipeline network scheduling, distributed water storage regulation, local treatment of multiple water qualities for water supply, and automatic control system linkage". The regional layout of the water supply network and reservoirs, in conjunction with the low-source high-peak water supply technology, is designed to achieve high-peak water supply while maintaining the same water source capacity. This is achieved through the distributed construction of reservoirs, with reservoirs of the same water quality connected by the network, serving as backups for each other, and coordinated control by regulating valves. The three-tiered pipe network design achieves an overall distributed network layout for the water supply system by constructing a main pipe network, branch pipe networks, and terminal pipe networks.

[0002] The distributed layout design divides water supply areas according to different functional requirements, and configures classified water storage tanks to meet short-term high demand through distributed release. The design of dynamic pipeline network regulation uses AI to adjust valves and pump stations, optimize pipeline flow direction and pressure distribution, and ensure efficient, stable, and seamless water delivery to user areas.

[0003] The design incorporates a multi-source coordinated allocation mechanism, prioritizing the use of stable water sources such as reclaimed water plants, rainwater, and constructed wetlands to enhance the system's water supply resilience.

[0004] The intelligent system control, the architecture design of the coordinated operation of various modules to control the overall system, and the behavioral logic of the whole machine replacing human labor to achieve an unmanned factory.

[0005] Dynamic optimization model: Based on the AI ​​model and multi-objective optimization algorithm, the water treatment parameters are dynamically adjusted according to the influent water quality, and the dosage of raw and auxiliary materials such as coagulants and disinfectants is adjusted to ensure that the effluent water quality meets the standards, so as to achieve the function of fully automatic production operation.

[0006] The monitoring and early warning control system is set up, with zoned deployment points for pipeline robots and drones and a collaborative inspection mechanism. Data is transmitted back in real time via 5G network, AI automatically identifies abnormalities, and alarms are automatically triggered, ensuring safe operation of the water supply. Background Technology

[0007] Reclaimed water refers to water that has been treated through physical, chemical, and biological processes to remove pollutants and meet certain water quality standards before being used for non-potable purposes (such as industrial cooling, greening irrigation, road cleaning, and landscape water replenishment). With the increasing global water scarcity and the growing demands for environmental protection and sustainable development, reclaimed water, as an important form of water resource recycling, is gradually becoming a crucial component of modern urban water systems.

[0008] On the technological front, wastewater treatment technology has made significant progress in recent years, particularly the development of advanced treatment technologies such as membrane separation, advanced oxidation, and biological treatment. These advancements have substantially improved wastewater treatment efficiency and effluent quality, laying a technological foundation for the widespread application of reclaimed water. Simultaneously, the development of intelligent monitoring systems (such as SCADA and GIS), remote control, and online water quality monitoring technologies has also enhanced the operational efficiency and safety of reclaimed water systems.

[0009] At the policy level, the state has clearly stated its intention to accelerate the resource utilization of wastewater and improve the utilization rate of reclaimed water. For example, it requires that by 2025, the utilization rate of reclaimed water in prefecture-level cities and above nationwide should be significantly improved, and key areas should have basically established a reclaimed water allocation system. This provides a favorable policy environment for the promotion and application of reclaimed water technology.

[0010] With accelerating urbanization and increasing water demand, reclaimed water plants face the challenge of "low-source, high-peak" water supply, meaning they must cope with sudden surges in demand during peak water usage periods while maintaining limited supply capacity. This supply-demand imbalance is particularly pronounced in time-sensitive water use scenarios such as greening irrigation and industrial cooling. To ensure stable system operation and improve water supply efficiency, low-source, high-peak water supply technology and intelligent control systems have become key technological pathways. The former optimizes scheduling through energy storage regulation and pressure zoning, while the latter relies on technologies such as the Internet of Things, big data, and artificial intelligence to achieve full-process monitoring and intelligent scheduling, improving the response speed and operational efficiency of reclaimed water systems and providing sustainable, energy-saving, and safe solutions for urban reclaimed water systems. Summary of the Invention

[0011] (1) Multiple water storage tanks are distributed in the water supply area. The water storage tanks with the same water quality are connected by the pipeline network and serve as backups for each other. The linkage regulating valve controls the peak water supply capacity while keeping the water source production capacity unchanged. By intelligently adjusting the layout of the water supply system, a water supply network of "distributed collaboration, on-demand allocation, and dynamic response" is constructed, which effectively solves the shortcomings of the traditional system in meeting peak water supply demand when the supply capacity is fixed.

[0012] (2) By using AI algorithms to predict and dynamically schedule regional water demand in real time, and combined with the deployment of modular and distributed water supply equipment, the system can be gradually built and expanded according to actual needs, avoiding the financial pressure and resource waste caused by large-scale one-time investment. Initially, only facilities that meet the basic water volume need to be built. During peak periods, the water supply capacity can be flexibly increased through intelligent scheduling and reclaimed water replenishment mechanisms.

[0013] (3) Water supply based on water quality and pressure can meet the water needs of different users and can be settled in multiple prices, which can facilitate business operations and improve economic efficiency. Through intelligent means, the water supply system can achieve precise scheduling, dynamic pressure regulation and on-demand energy supply, and significantly reduce overall energy consumption while ensuring water supply pressure and service quality.

[0014] (4) Modular reclaimed water treatment units and distributed water supply nodes are adopted, and reclaimed water treatment facilities and booster pump stations are arranged near the water-using terminals. Except for the water storage tank which requires excavation, there is no need to lay large-diameter main pipelines, thus avoiding excavation work, reducing ecological damage, dust, and impact on roads and other facilities. Through deep learning of regional water use patterns using AI algorithms, the system can accurately predict peak water use periods and flow demand, and schedule reclaimed water storage and pump station operation strategies in advance. With the help of digital twin technology and geographic information systems, a three-dimensional model of the urban underground pipe network is constructed. The system can perform visual analysis and conflict detection of existing pipelines, cables, and drainage systems, and assist in the scientific planning of reclaimed water pipeline routes. This effectively solves the problems of limited space, complex construction, difficult approval, and high costs faced by urban built-up areas in pipeline construction.

[0015] (5) By constructing a multi-source collaborative scheduling system and a water quality classification management platform, the water quality and pressure can be dynamically adjusted according to different user types, uses and regional characteristics, so as to achieve truly differentiated water supply.

[0016] (6) By integrating various water sources available in the city, such as rainwater collection, reclaimed water reuse, surface water replenishment and reservoir storage, a multi-complementary and dynamically allocated water supply system is constructed.

[0017] (7) By constructing a full-process intelligent sensing network and AI decision-making system, real-time monitoring, intelligent analysis and automatic control of the entire water supply process can be achieved, thereby comprehensively improving the system's operating efficiency and management level. Attached Figure Description Figure 1 This is a schematic diagram of the overall structure and intelligent control system of the reclaimed water system designed in this invention. It shows that the system mainly consists of multiple water sources, water source pretreatment, reclaimed water deep treatment, distributed deep treatment reservoirs, pipeline network, and intelligent control system. Figure 2 This diagram illustrates the main functions and partitioning of the intelligent control system design of this invention. It primarily describes the main components of the intelligent system, including a user management module, intelligent warehouse management module, early warning module, energy management module, database, reclaimed water treatment module (core production unit), reclaimed water supply module, and customer feedback module. The entire automatic control operating system achieves efficient collaboration and intelligent linkage between the various sub-modules through a unified data platform and AI scheduling center. Figure 3 This diagram illustrates the specific water supply and control methods of pumps and valves under different regulation conditions during the actual operation of a reclaimed water system. It mainly describes the specific control mechanisms of the system under different operating conditions, such as changes in water source, insufficient water supply, and changes in water quality.

Claims

1. This invention proposes a low-source, high-peak water supply technology based on artificial intelligence (AI) and digital management, aiming to solve problems such as irregular water use by enterprises, high peak demand, and different users' varying needs for water quality and pressure. By optimizing water resource allocation and efficiently utilizing existing water source capacity, the flexibility and reliability of the water supply system are improved.

2. This invention constructs a water supply network that is "distributed and coordinated, allocated on demand, and dynamically responsive" by intelligently adjusting the layout of the water supply system, effectively solving the shortcomings of traditional systems in terms of insufficient peak water supply capacity.

3. This invention utilizes AI algorithms to predict and dynamically schedule regional water demand in real time. Combined with the deployment of modular and distributed water supply equipment, it allows for gradual construction and expansion based on actual needs, resolving the issues of huge upfront fixed asset investments and the risk of idle capacity due to prediction errors. It avoids the financial pressure and resource waste associated with large-scale one-time investments. Initially, only facilities sufficient for basic water needs need to be constructed; during peak periods, intelligent scheduling and reclaimed water replenishment mechanisms enable flexible increases in water supply capacity.

4. This invention uses intelligent means to achieve precise scheduling, dynamic pressure regulation, and on-demand energy supply of the water supply system, solving the problems of insufficient water supply during peak water usage and energy waste during off-peak hours while ensuring water supply pressure and service quality.

5. By adopting modular reclaimed water treatment units and distributed water supply nodes, reclaimed water treatment facilities and booster pump stations are arranged near the water-using terminals. Except for the water storage tank which requires excavation, there is no need to lay large-diameter main pipelines. This avoids excavation work, reduces ecological damage, dust, and impacts on roads and other facilities. It effectively solves the problems of limited space, complex construction, difficult approval, and high costs faced by urban built-up areas in pipeline construction.

6. This invention, by constructing a multi-source collaborative scheduling system and a water quality classification management platform, can dynamically adjust the water supply quality and pressure according to different user types, uses, and regional characteristics, achieving truly differentiated water supply. It solves the problem of different users having different demands for water supply volume and water quality.

7. This invention integrates various available urban water sources, such as rainwater harvesting, reclaimed water reuse, surface water replenishment, and reservoir storage, to construct a diversified, complementary, and dynamically allocated water supply system. It effectively solves the problems of insufficient scalability in traditional reclaimed water supply models, high costs of expansion after the water source reaches full capacity, and the inability of single-source water supply models to meet peak-hour water demand, while also addressing resource waste and insufficient water supply stability.

8. By constructing a full-process intelligent sensing network and AI decision-making system, this system enables real-time monitoring, intelligent analysis, and automatic control of the entire water supply process, effectively solving the problem of production relying on human experience for scheduling and management, and comprehensively improving the system's operating efficiency and management level.

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