Description:The present invention discloses an integrated IoT-based drainage monitoring and maintenance system comprising multiple sensing modules, wireless communication interfaces, cloud-based analytics, predictive warning mechanisms, and automated maintenance subsystems.
The sensing subsystem includes ultrasonic sensors for water level measurement, flow sensors for monitoring drainage movement, gas sensors for detecting hazardous gases, and optional environmental sensors. Sensor data are acquired through a microcontroller-based processing unit such as ESP32 or NodeMCU.
The acquired information is transmitted through Wi-Fi, GSM, NB-IoT, LoRaWAN, or equivalent communication technologies to a cloud platform. The cloud infrastructure performs data storage, analytics, visualization, trend analysis, and predictive modeling. Weather forecast information is integrated into the platform to predict flooding conditions.
When abnormal conditions such as overflow, gas accumulation, stagnation, or blockage are detected, the system automatically generates notifications through mobile applications, SMS, email alerts, and alarm systems.
The invention further incorporates an automated self-cleaning mechanism driven by servo motors that remove minor obstructions without human intervention.
The proposed invention provides a comprehensive, scalable, low-cost, and intelligent solution for smart drainage management, environmental protection, and disaster prevention in urban and industrial environments.
, Claims:1. An integrated IoT-enabled drainage monitoring and automated maintenance system comprising a plurality of sensors, a processing unit, a communication module, a cloud analytics platform, an alert generation subsystem, and an automated cleaning mechanism configured to continuously monitor drainage conditions, predict overflow events, detect hazardous gases, generate alerts, and automatically remove drainage obstructions.
2. The system of claim 1, wherein the plurality of sensors comprises ultrasonic sensors for measuring water level.
3. The system of claim 1, wherein the plurality of sensors comprises flow sensors configured to detect drainage flow characteristics and blockage conditions.
4. The system of claim 1, wherein the plurality of sensors comprises gas sensors configured to detect methane, ammonia, hydrogen sulfide, and other hazardous gases.
5. The system of claim 1, wherein the processing unit comprises ESP32, NodeMCU, Raspberry Pi, or equivalent embedded controllers.
6. The system of claim 1, wherein the communication module utilizes Wi-Fi, GSM, NB-IoT, LoRaWAN, or 5G communication technologies.
7. The system of claim 1, wherein the cloud analytics platform performs predictive flood analysis using weather forecasting information.
8. The system of claim 1, wherein the alert generation subsystem provides notifications through SMS, email, mobile applications, and alarm systems.
9. The system of claim 1, wherein the automated cleaning mechanism comprises servo motor-operated cleaning flaps configured to remove drainage obstructions.
10. The system of claim 1, wherein machine learning algorithms are employed to predict maintenance requirements and future blockage events.