Environmental Engineering
基于AI和物联网的供水管道泄漏检测
AI and IoT-Based Water Pipeline Leakage DetectionA system utilizing Internet of Things (IoT) sensors and Artificial Intelligence (AI) algorithms to automatically detect, localize, and monitor water pipeline leaks in real-time, replacing manual inspection methods. / 一种利用物联网传感器和人工智能算法自动检测、定位和实时监控供水管道泄漏的系统，取代了人工检查方法。
- Knowledge type
- 实际应用
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-15 18:06:14
Sub-knowledge points
Hydraulic anomaly detection using pressure and flow measurementsLeakage event identification using vibration and acoustic measurementsContinuous data acquisition and remote monitoringReal-time alerts
Higher-order knowledge points
Water distribution and supply systemsInternet of Things (IoT)Artificial Intelligence (AI)Machine Learning (ML)
Main parameters and performance indicators
Sensing Approaches: flow, pressure, acoustic, vibration measurementsProcessing Unit: Raspberry Pi-basedAI Models: Artificial Neural Networks, Random Forest, Support Vector Machines, K-Nearest Neighbors, Convolutional Neural Networks, ensemble techniques
Open problems
Obtaining representative real-world datasetsReducing false alarmsHandling sensor noiseDeploying models on resource-constrained edge devices
Related literature
ranked by community starsA Comprehensive Review of AI and IoT-Based Water Pipeline Leakage Detection, Prediction and Monitoring SystemsOpen source
Related products and links
Multi-sensor IoT and AI architectureRaspberry Pi-based processing system
Creation and modification trail
1 recordsRecord title: AI and IoT-Based Water Pipeline Leakage Detection.
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