The accelerating urbanization and rising public demands for water quality are posing significant challenges to traditional water supply systems. Smart water supply, through deep integration of IoT, big data and AI technologies, establishes an intelligent management system covering the entire process from water source to tap. In pilot cities like Beijing and Shanghai, the smart water system has achieved remarkable results including 15-minute water quality anomaly alerts and 30% reduction in pipeline leakage rates. This innovative approach not only addresses secondary pollution caused by aging pipelines but also enables residents to monitor real-time water quality and usage data through smart meters and mobile apps, truly realizing “water quality transparency”.
The core value of smart water supply lies in its predictive maintenance capability and optimized resource allocation. With hundreds of sensors deployed at critical pipeline nodes, the system can predict equipment failures 72 hours in advance, reducing maintenance costs by 40%. Meanwhile, AI algorithms intelligently adjust water pressure according to usage peaks and valleys, achieving 15-20% annual energy savings. More importantly, the smart water platform breaks down data barriers between government, enterprises and users. When water quality anomalies occur, the system automatically alerts regulators while sending safety notifications to affected consumers, establishing a collaborative water safety protection network.
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