Hilly Pond

Scene Introduction

Ruhr IoT Hilly Pond safety monitoring and early warning system focuses on rooftop hilly ponds, taking into full account their numerous locations and wide distribution. It utilizes multi-functional and universal monitoring equipment to control construction costs while meeting basic safety monitoring standards, and solves the problems of irregular hilly pond management and inability to monitor safety status in real time.

Demand Analysis

Defects in Design and Construction

The hilly ponds suffers from insufficient design standards, poor construction quality, lack of slope protection, absence of anti-seepage and reverse filtration structures, susceptibility to termite damage and potential structural instability.

Insufficient IoT Monitoring Devices

Most reservoirs lack monitoring equipment, and existing monitoring devices are generally outdated, with insufficient automation capabilities for monitoring settlement, displacement, and other parameters.

Low Management Standardization

Routine patrols are mostly conducted by local villagers, whose limited professional skills make it difficult to identify and address safety hazards promptly.

Program Highlights

Sensing: Integrated Monitoring Framework

Deploy structural safety monitoring, water and rainfall monitoring, and video surveillance equipment to create a comprehensive monitoring and perception system.
Surveillance: Real-Time Monitoring

Construct a multi-dimensional Internet of Things monitoring network to automatically collect data and monitor the operation and safety status of the project around the clock.
Model: Simulation and Deduction

Relying on AI algorithms and multimodal large language models (MLLMs), conduct periodic simulations and trend predictions of dam deformation and crack changes, providing decision-making references.
Analysis: Risk Assessment

Combining the extent of engineering damage with the assessment of risk levels of hazard impact, the system supports multiple types of alarm mechanisms and provides unified management of early warning information.
Enhancement: Closed-loop Management

Leveraging AI capabilities, it can promptly detect anomalies and support all aspects of reservoir operation and maintenance management, scheduling decisions, and emergency response.