System architecture

• Perception layer It is composed of various sensors, intelligent meters and data collection terminals, which is responsible for collecting various data in the water system in real time, including water quality, water quantity, water pressure, water level, equipment operation status and other information. This data is transmitted to the network layer over a wired or wireless communication network.
• Network layer Mainly undertakes the task of data transmission, transmitting the data collected by the perception layer to the platform layer. It can utilize multiple communication technologies, such as optical fiber networks, GPRS/CDMA, 4G/5G, LoRa, etc., to ensure stable and efficient data transmission.
• Platform layer is the core of the smart water treatment system, including data centers and application support platforms. The data center is responsible for storing, managing, and integrating massive data from the perception layer, and conducting in-depth processing and analysis of data through data mining, big data analysis and other technologies to extract valuable information. The application support platform provides common services and functions for various water applications, such as data sharing, business process management, and geographic information system (GIS) services.
• Application layer According to different business needs, develop various specific application systems, such as water supply dispatch system, sewage treatment monitoring system, water quality monitoring and early warning system, leakage detection and positioning system, etc. These application systems can invoke the services and data provided by the platform layer to achieve intelligent monitoring, management, and decision support for water systems.

Functional modules

• Data collection and transmission Realize real-time collection and transmission of various data in the water system to ensure the accuracy and timeliness of data.
• Data processing and analysis Clean, convert, store and analyze the collected data, establish a data model, mine the correlation between data, and provide a decision-making basis for water management. For example, through the analysis of water quality data, predict the trend of water quality changes; Through the analysis of water consumption data, the water consumption law of users is grasped, and the water demand is predicted.
• Device management Real-time monitoring and management of various equipment in the water system, such as pumps, valves, sewage treatment equipment, etc., including equipment operation status monitoring, fault diagnosis, maintenance plan formulation, etc. Through the equipment management module, the operation efficiency and reliability of the equipment are improved, and the equipment failure rate and maintenance costs are reduced.
• Scheduling decision support Based on real-time monitoring and data analysis of the water system, it provides scheduling decision-making support for water supply, drainage, sewage treatment and other businesses. For example, according to the water quantity, water quality and water demand of the water source, rationally dispatch water supply equipment to achieve optimal allocation of water supply; According to the influent water quality, water volume and treatment capacity of the sewage treatment plant, optimize the sewage treatment process parameters to improve the sewage treatment efficiency and effluent quality.
• Early warning and emergency management When abnormal situations occur in the water system, such as excessive water quality, low water pressure, equipment failure, etc., promptly issue early warning information and start the corresponding emergency treatment plan. The early warning and emergency management module can help water management personnel quickly respond to emergencies, reduce accident losses, and ensure the safe and stable operation of water systems.

Use Cases

• Shenzhen Water Group Smart Water Project Through the construction of a smart water treatment system, the project realizes the comprehensive perception and real-time monitoring of the city's water supply pipe network, sewage treatment plants, water sources and other water facilities. Through data analysis and mining technology, the water supply scheduling scheme is optimized, and the energy consumption and leakage rate of water supply are reduced. At the same time, the precise control of the sewage treatment process has been realized, and the efficiency of sewage treatment and effluent quality have been improved.
• Shanghai Urban Investment Water Smart Water Supply Project The project uses the smart water treatment system to establish a digital model of the water supply pipe network, realizing real-time monitoring and analysis of pipe network pressure, flow, water quality and other parameters. Through leakage detection and positioning technology, a large number of pipe network leaks were found and repaired in a timely manner, reducing the leakage rate and saving water resources. In addition, through intelligent water meters and user information management systems, the refined management of users' water consumption behavior has been realized, and the quality of water supply services has been improved.