Urban flood warning system and method based on radial basic function neural network model

Abstract

The invention discloses an urban flood warning system and method based on a radial basic function neural network model. The method comprises following steps: utilizing ultrasonic rangefinders to measure water accumulation of urban roads; utilizing water level sensors to measure water level information on urban riverways; gathering related information on a same region to data acquisition terminals for preprocessing; sending preprocessed related data to a monitoring center server; and utilizing the radial basic function neural network model to forecast and warn the urban flood conditions and sending results to mobile terminals for related users by the server. Users can search for flooding conditions of relevant places by loading the server via the network. The urban flood warning system and method based on the radial basic function neural network model have following beneficial effects: water accumulation conditions of urban roads and water level changing conditions of urban riverways are automatically monitored; urban flood conditions are forecast and pre-warned; advantages such as small error, high real-time performance, low cost and accurate pre-warning information are obtained; and a good market prospect and application value are achieved.

Description

technical field [0001] The invention relates to an intelligent monitoring and early warning system and a method thereof, in particular to an urban flood early warning system and a method based on a radial basis function neural network model, and belongs to the technical field of ultrasonic detection and intelligent forecasting. Background technique [0002] In terms of urban flood early warning, at present, it mainly relies on manual observation and analysis. However, relying on manual observation will have disadvantages such as large errors, low efficiency, high cost, and difficulty in real-time monitoring. With the continuous development of the city, the urban structure is becoming more and more complex. If only relying on manual monitoring, it is difficult to meet the needs of urban development. [0003] The traditional automatic monitoring method solves the defects of manual observation by installing video monitors on the main arterial roads of the city and water level...

AI Technical Summary

Problems solved by technology

If only relying on manual monitoring, it is difficult to meet the needs of urban development

[0003] The traditional automatic monitoring method solves the defects of manual observation by installing video monitors on the main arterial roads of the city and water level gauges in major rivers, but it is difficult to achieve independent detection and early warning.

In addition, personnel are required to observe the information of various videos and water level gauges in real time, which is labor-intensive and cannot monitor urban road water accumulation, which is not conducive to the timely detection and treatment of urban floods

Images