暮烟十七 — 智慧水利工程师 | AI+大数据驱动水利创新 | 西安理工大学
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Updated
Jul 3, 2026 - HTML
暮烟十七 — 智慧水利工程师 | AI+大数据驱动水利创新 | 西安理工大学
Water distribution table scheduling.
Sensor-based IoT system for real-time water level and quality monitoring with alerting and data analysis.
智慧水利开源项目集合,包括水文预测、洪水模拟、水资源管理系统等实战项目。
Water Dispensing System with ESP32S3, Google Sheets Logging, and Telegram Integration
Smart Water Technologies (Smart Water) integration for Home Assistant
AI-powered Android app for real-time water quality monitoring using IoT sensors. Predicts WQI score & disease risk (Cholera, Typhoid, Diarrhea) via a Random Forest ML model. Built with Kotlin, Firebase & hardware sensor integration.
IoT-enabled adaptive water filtration system using ESP8266, TDS sensing, Firebase, and Flutter.
IoT-based Water Monitoring System — uses MQTT, Python, and Power BI to track flow rate, pressure, and water usage in real time.
Operational Digital Twin MVP for rural water systems (APR/SSR) using synthetic telemetry, data pipelines, explainable rules and real-time operational monitoring.
Digital Twin Platform
AquaVeda is a real-time river water quality monitoring platform that tracks parameters like pH, temperature, and turbidity to detect pollution risks. It enables citizens to report water conditions and supports authorities with alerts and predictive forecasts.
Solar-powered Edge-AI for wetland monitoring at Ramsar sites. Integrates physico-chemical sensors with AI-based biological indicator detection.
Physics-Informed Neural Network approach for accurate fluid flow and pressure prediction in water pipelines using MATLAB.
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