Background overview
With the rapid development of railways, the meteorological and natural environment elements along the railways are becoming more and more important to the safe operation of railways, especially the disasters such as mountain torrents, snowmelt floods, rockfalls and floods in the upper reaches of the railway caused by heavy precipitation will seriously affect the safe operation of the railway.
In response to the problems faced by railway flood control, such as "untimely warnings, low accuracy, insufficient disaster disposal and inspection management, and inability to manage the respective operations of multiple types of systems", the company has developed a comprehensive solution based on the flood prevention and disaster prevention intelligent warning platform. The platform is centered on the meteorological early warning system to realize the superposition of three maps of "meteorological radar map + topographic and geomorphological circle + line, bridge and culvert equipment distribution map", which is divided into meteorological early warning system, disaster monitoring system, data management system, etc. The meteorological warning, sink water warning, earthquake alarm, equipment alarm and emergency plan are combined to realize the automation and intelligence of "watching the cloud, chasing the rain, staring at the picture and knowing the water", and the flood control and disaster reduction ability of the railway department is improved, it is changed from the passive emergency to active protection, from manual alarm to automatic early warning to achieve full-scene technical support for prevention, avoidance, and repair.
Intelligent pre-alarm monitoring system solution for railway flood and disaster prevention
Meteorological early warning system
Provide acousto-optic alarm function for short-term precipitation for public works sections, lines, and sites, to view the accumulated precipitation, temperature, humidity, wind and other meteorological information in the future at each point.
Earthquake emergency response
Real-time acquisition of earthquake information, alarms and emergency response plans are generated at the first time of the earthquake, and the earthquake-related data and scope of influence are visually displayed.
Bridge and culvert flood control monitoring
According to the data obtained by the front-end sensor and the meteorological cloud map, the information such as the water level and flow of the bridge and culvert catchment can be calculated, and the early warning can be given in time to avoid the flooding and destruction of the railway caused by the flow exceeding the flood discharge capacity of the culvert.
Rockfall and foreign body intrusion limit monitoring
Realize rockfall monitoring at the entrance of railway line tunnels and surrounding areas, and monitor potential safety hazards caused by natural disasters such as rockfalls, debris flows, and landslides. When dangerous situations occur, alarms can be issued in time to further improve flood control safety monitoring and command capabilities, and provide support for the safe and high-quality railway development.
Landslide and debris flow monitoring
Monitor the displacement of the landslide and the induced debris flow in real time by the comprehensive use of external and internal deformation monitoring of the mountain, ground fissure monitoring, rainfall monitoring and other technologies.
Video monitoring
Use visualization equipment to monitor valleys that are prone to collapse, landslides and debris flows. According to the obtained visual images of rainfall, geosound, slopes or debris flow trenches and with the help of artificial intelligence technology, real-time monitoring of risk areas is carried out, and the warnings and forecasts for the landslide debris flow detection are carried out in time.
Analysis of meteorological satellites radar maps
The multi-layer echoes of different elevation angles in the radar base data are used for three-dimensional filtering, and the non-precipitation clutter is removed by combining continuous characteristic filtering, morphological filtering, and speckle noise filtering.
Optical flow method and neural network composite prediction
The prediction model is added to a neural network algorithm based on the optical flow method, and each pixel of the radar data corresponds to a precipitation forecast point. The prediction of a certain moment in the future is only related to the pixels of the position point and the pixels of the adjacent position points, which improves the prediction accuracy.
Calculation of hydrological catchment area
The Muskingen method is used to calculate the functional relationship between the propagation time and water demand of the river reach and the water flow velocity, water depth and water surface gradient under constant flow.
Intelligent auxiliary early warning system for flood and disaster prevention
Displacement monitoring equipment
Rainfall monitoring subsystem
Customer service hotline
400-660-1790
