Transportation - Smart Pipeline Network
The smart water pipeline network system is the core carrier of the digital transformation of the water industry. Through "perception-analysis-decision-execution" closed-loop management, it achieves the leap from "passive emergency repair" to "active prevention and control". In the future, with the breakthroughs of digital twins, edge computing, and energy self-consistent technologies, the water pipeline network will gradually evolve into an "adaptive, self-repairing, and zero-leakage" smart life, providing solid water support for high-quality urban development.
Take photos/locate and submit abnormalities such as pipe network damage and insufficient water pressure, automatically associate them with the maintenance work order system, and check the work order acceptance, personnel scheduling, and processing progress in real time.
Push water/gas shutdown plans and pipeline construction impact scope based on geographical location (such as directional short message warning in case of sudden pipe explosion)
Remote meter reading (daily granularity data)+ abnormal water use warning (such as continuous high flow indicating water leakage at home). And user apps push water-saving suggestions.
A sudden change in pressure (such as a drop of 0.3MPa/minute) triggers a pipe burst alarm and automatically closes the zoning valve.
When the residual chlorine concentration is less than 0.05mg/L, the secondary chlorine addition will be automatically started or the water source will be switched.
Real-time monitoring of water level, flow, water quality and other parameters. Automatic evaluation is based on real-time monitoring data supplemented by intelligent algorithms.
The pipe network is divided into independent measurement areas, and the AI algorithm reduces the pressure in time (10%-15% at night) to reduce leakage and energy consumption.
The model predicts water demand (such as morning and evening peaks), optimizes pump unit start-stop combinations, and reduces power consumption.
Build a digital twin of the pipe network to simulate dynamic changes in parameters such as pressure and flow, realize "virtual sandbox" trial operations (such as valve adjustment previews and gas transmission and distribution plan deduction), and assist dispatch decisions.
Monitor parameters such as sudden changes in pressure/flow (automatic alarm of>15% threshold) and abnormal water quality in real time, and capture leakage and burst signals in seconds.
Locate affected areas based on GIS and push notifications in a targeted manner (SMS/APP pop-up window)
User repair work orders are automatically distributed to the nearest maintenance team, and AR glasses assist 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.
EPANET simulates the flow pressure of the pipe network and combines AI to locate small leaks.
Acoustic wave sensor + machine learning identifies leak point characteristic frequency (accuracy rate ≥90%).
Enhanced learning algorithms dynamically adjust pumping stations and valves to balance energy consumption and pipe burst risks.
Integrate pipe diameter, material, and burial depth data to simulate water flow conditions under different working conditions.
Virtually simulate scenarios such as pipeline rupture and pollution intrusion, and preview disposal plans.
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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