Automated Flood Control via Rainfall Prediction and Gate Actuation
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Solution Overview
Problem
Developing countries face challenges in predicting and mitigating flood disasters due to inadequate infrastructure, leading to significant human and economic damage, as they struggle to collect and analyze necessary water-related information effectively.
Innovation Solution
A disaster prevention system comprising a weather prediction unit, analysis unit, and control unit that utilizes rainfall information, water level data, and sewage flow rates to predict flood risks and control water stop gates and pumps, with a cloud computer network connecting control computers to facilitate data sharing and automated responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If infrastructure construction progresses in developing countries, then flood prediction accuracy improves, but construction cost and time increase
Solution Approach 1:
The system segments the flood prediction task into multiple components: weather prediction unit for rainfall forecasting, analysis unit for flood risk assessment, and control unit for gate management. This segmentation allows each component to be optimized independently and reduces the overall system complexity burden.
Solution Approach 2:
The control unit serves multiple functions: it controls water stop gates, manages pump operations, and coordinates with the cloud computer network. This multi-functionality reduces the need for separate specialized infrastructure components.
2Loss of time
If automated control systems are deployed, then response time to flood events decreases, but system complexity and initial investment increase
Solution Approach 1:
The weather prediction unit performs preliminary actions by forecasting rainfall events before they occur. The analysis unit then pre-assesses flood risks based on these forecasts, allowing the control unit to prepare gate positions and pump operations in advance, significantly reducing response time when actual flood events occur.
Solution Approach 2:
The system implements feedback loops where the control unit continuously monitors weather predictions and analysis results, adjusting gate and pump operations in real-time. This automated feedback mechanism reduces response time while managing complexity through standardized control algorithms.
3Reliability
If more water level information collection points are established, then flood prediction reliability improves, but system complexity and maintenance requirements increase
Solution Approach 1:
Multiple water level information collection points are merged into a unified cloud computer network system. This allows data from numerous sensors to be aggregated, processed, and analyzed centrally, improving prediction reliability while managing complexity through centralized data management rather than distributed processing.
Data Source
AI summary
This invention provides a disaster prevention system capable of taking an effective measure against a flood disaster. According to one embodiment, a disaster prevention system comprises a weather prediction unit configured to calculate a predicted rainfall in a region based on rainfall information necessary for protecting the region from a flood; an analysis unit configured to determine, based on the predicted rainfall calculated by the weather prediction unit, whether a flood can occur in the region; and a control unit configured to control to close a water stop gate provided in the region to protect the region from the flood if the analysis unit determines that the flood can occur in the region.