With technologies such as the Internet of Things (IoT), big data, artificial intelligence (AI), and digital twins as the core, we achieve efficiency and safety from "water source" to "faucet" through full-process digitalization, intelligent decision-making, and precise services. A new management model for sustainable water supply. Its core goals are to ensure water quality safety, reduce operating costs, improve emergency response capabilities, and optimize user experience.
Multi-parameter buoy stations (monitoring algae and heavy metals) are deployed in the water source area, and data is sent back every 5 minutes.
AI predicts water pollution risks (such as the probability of cyanobacteria outbreaks) and links water plant pretreatment processes (such as pre-oxidation).
Dynamically adjust the dosing amount of coagulant and disinfectant based on the influent water quality (turbidity, organic matter content).
Water quality sensor alarm → digital twin analog pollution spread → closing the valve in the contaminated section → starting the backup water source.
Combined with meteorological data to predict flood risks, adjust reservoir flood discharge in advance, and strengthen pipe networks.
Second-level alarm for sudden changes in pressure/flow (triggered by>15% threshold), interception of water quality fluctuations in real time, and accurate location of leakage points (such as a surge in traffic at night triggers hidden leakage warnings)
The noise sensor captures the characteristic frequency of the leak point, and the machine learning model accurately positions it (error ≤30 meters).
Divide the pipe network into independent areas, and analyze hidden leaks at night with minimum flow (MNF).
Enhanced learning algorithms dynamically adjust pumping stations and valves to balance energy consumption and pipe burst risks.
Remote meter reading and abnormal water use warnings (such as continuous high flow prompting leaks at home) allow users to check water quality reports in real time.
Push water prices during peak hours through APP to guide water conservation.
User repair work orders are automatically distributed, and AR glasses assist maintenance personnel in locating underground pipelines.
Pressure sensors (±0.1% accuracy) monitor pressure fluctuations in the pipe network in real time and locate risk points of pipe burst.
Collect data from water sources, water plants, pipe networks, and user terminals in real time, covering the entire process.
Forecast water demand, optimize water dosing in water plants, and locate leakage in pipe networks.
Integrate pipe diameter, material, and burial depth data to simulate water flow conditions under different working conditions.
Build a virtual water supply system to simulate response strategies in extreme weather, pollution events and other scenarios.
It can simultaneously measure multiple basic water quality parameters such as pH value, dissolved oxygen, conductivity, temperature, and turbidity, making it easy to quickly understand the overall water quality of the water source.
Resisting high temperatures, low temperatures, corrosive gases, interfering signals and friction factors under different circumstances, allowing it to work under specific required working conditions for a long time. A special sealing device is used to protect internal components from external influences and damage.
Electromagnetic flowmeters, ultrasonic flowmeters, etc. can be installed on water intakes or water pipelines to accurately measure the water intake and water flow speed of the water source.
Capture the ultrasonic waves or vibration frequencies generated by water leaks, filter environmental noise (such as traffic vibration) through AI algorithms, and accurately separate the characteristic voice prints of leakage losses.
As the core terminal equipment of smart water, smart water meters realize intelligent upgrades of water management by integrating microelectronic, Internet of Things and big data technologies.
The valve actuator is the core execution terminal of the automated control system. Its core role is to transform the control signal into valve mechanical action to achieve precise regulation of the fluid medium.
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