Urban inland inundation early warning method, device and equipment and storage medium

Abstract

The invention relates to the field of artificial intelligence, and discloses an urban inland inundation early warning method, device and equipment and a storage medium, and the method comprises the steps: obtaining first real-time monitoring data and first optimization data in a first time period; analyzing the first real-time monitoring data and the first optimization data by using an urban inland inundation risk analysis model to obtain corresponding first inland inundation early warning data and second inland inundation early warning data; acquiring second real-time monitoring data in a second time period based on the effectiveness of the first waterlogging early warning data, and checking the first waterlogging early warning data to obtain second optimized data; judging whether the second optimization data is in a preset error range or not; and if yes, performing waterlogging early warning on the corresponding area based on the second waterlogging early warning data. According to the method, the monitoring data are input into the model to obtain two early warning data, early warning of the urban waterlogging risk is realized based on the other waterlogging early warning data after verification of one early warning data, and the urban waterlogging risk early warning can be realized efficiently.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a method, device, equipment and storage medium for early warning of urban waterlogging. Background technique [0002] The current urban waterlogging risk prevention methods mainly include engineering measures and non-engineering measures. Engineering measures mainly refer to the reconstruction of waterlogging-prone points and waterlogging risk areas by building dams, increasing the number and diameter of rainwater pipes, and vertical reconstruction of roads. The measures include surface runoff simulation, pipeline network-channel hydrodynamic simulation, waterlogging early warning and risk assessment. Traditional urban waterlogging early warning and risk assessment are mainly based on meteorological forecast data, runoff-confluence model, pipeline network-river hydrodynamic model and other mechanism models to provide early warning of waterlogging, but have high requirements...

AI Technical Summary

Problems solved by technology

[0003] The main purpose of the present invention is to solve the technical problems that there are many mechanism model parameters in the existing urban waterlogging early warning method, which are difficult to calibrate and optimize, and the timeliness of the forecast is poor due to the huge amount of data.

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