The urban waterlogging prevention and drainage system is a waterlogging and flood control system constructed by comprehensive use of modern technology, historical experience and scientific planning. Its core includes the application of digital twin technology, systematic design principles and diversified engineering facilities. Through real-time monitoring, intelligent scheduling and optimization of facility layout, it aims to improve the city's ability to cope with extreme weather.
In recent years, due to the impact of global climate change, extreme weather events have occurred frequently around the world, and weather phenomena such as heavy rain and heavy precipitation have shown an increasingly serious trend in some areas of our country. This weather phenomenon not only exacerbates the frequency of urban waterlogging, but also increases drainage pressure during heavy rains, seriously threatening the safety of urban residents 'lives and property.
Economic value: By improving management efficiency, reducing energy consumption, and ensuring the safety of people's lives and property, it directly reflects its economic value.
Promotion value: The system has self-learning and self-evolution mechanisms, can evolve iteratively over a long period of time, is replicable, and has great promotion value.
Social value: Reducing energy consumption, reducing carbon emissions, and harmonious coexistence between man and nature are of extremely positive and far-reaching significance for the balanced and healthy development of the global ecology.
The urban drainage and waterlogging prevention system adheres to the IoT of drainage and waterlogging prevention facilities“”, the interconnection of spatio-temporal information“”, the modeling of urban drainage and waterlogging prevention“,” and the coordination of management services“”, which will largely assist managers in providing standards, basis, calculations, and experience. Decision-making management.
IoT: Interconnection and integration between matrices.
Interconnection: The integration of technologies such as BIM, GIS, and digital twins forms the interconnection of spatio-temporal information.
Modeling: Two-wheel drive of data + model.
Collaborative: Cross-department and cross-level collaborative services in urban public services, and the value function is amplified.
Real-time monitoring and early warning: The system can monitor the ponding water level in low-lying sections of the Urban area in real time and issue early warning information in a timely manner when the ponding data exceeds a preset threshold. This will help the municipal management department grasp the overall waterlogging situation in the entire Urban area and carry out timely drainage dispatch.
视频监控与识别：通过AI识别智能终端可对各个易涝点进行远程监控，包括积水位识别、大型物件堵塞检测、人脸识别和行为识别等功能。This allows the alarm location to be quickly located and processed quickly to avoid loss of personnel and property.
数据统计与分析：系统自动生成积水过程线，进行数据统计预警。At the same time, GIS maps show the distribution of waterlogging sites and provide scientific and intuitive waterlogging diagrams to help understand the waterlogging situation.
低功耗长效运作：供电监测终端采用创新微功耗设计，在无积水情况下减少数据传输频率，以延长设备使用寿命。At the same time, a solar power supply system can be used based on actual conditions to provide long-term stable power supply for the monitoring host.
内涝预报预警：依托数字孪生智能模型，该模型整合历史降雨数据、地形信息及排水管网数据，并融合实时气象预报，精准预测未来城市内涝风险。It can not only simulate waterlogging scenarios under various rainfall intensities and drainage conditions, but also simulate and preview the scheduling process of water conservancy projects to visually display potential risks and impacts. Based on these preview results, the model further generates emergency plans to provide scientific basis and effective means for responding to urban waterlogging.
Combined with nearly 20 years of experience in implementing IoT information system services, based on industry standards and specifications, and technical support such as the Internet of Things, cloud computing, hydrodynamic analysis, GIS, BIM, and digital twins, we will provide comprehensive monitoring, early warning and dispatch command of sewage treatment plants, rainwater and sewage pumping stations, Flood relief ponds, flood drainage channels, vehicle undercrossing channels, pedestrian undercrossing channels, low-lying sections and other scenarios to form an urban drainage and waterlogging prevention system plan, aiming to improve urban flood control and drainage capabilities and improve management level, Maintain the safety of people's lives and property, promote sustained and healthy economic and social development, and achieve harmonious coexistence between man and nature.
Use technical means such as real-time IoT sensing + data aggregation + model prediction + big data analysis + water conservancy digital twins to realize rolling forecasting, dynamic early warning, forward-looking preview, and optimization of plans to improve urban flood control and drainage capabilities and Incident Response Service speed and efficiency.
Due to global warming, the atmospheric water cycle is accelerated and circulation instability is increased. Extreme rainfall events are further triggered. Affected by the urban heat island effect and rain island effect, heavy rainfall is often concentrated in cities and has a lot of rainfall, with high intensity and high rainfall.
Cities are developing rapidly, urban flood control and drainage projects (embankments, drainage pumping stations, etc.) are relatively lagging behind. Urban drainage pipe network planning is unreasonable, low standards, aging, clogging and settlement and other arduous and disorderly development has led to serious losses to natural water storage bodies. Lakes and inland rivers are occupied by landfills, and the hardening permeability coefficient of the road surface is reduced.
In the face of disasters, human behavior has been in a passive defense state for a long time. Disaster data cannot be grasped in a timely, comprehensive and scientific manner. The ability to forecast, early warning, rehearsal, and plan is limited, and the proactive response is insufficient.
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