CN-120580816-B - Flood stagnation area emergency evacuation early warning method based on environment sensing and intelligent analysis

CN120580816BCN 120580816 BCN120580816 BCN 120580816BCN-120580816-B

Abstract

The invention discloses an emergency evacuation early warning method for a flood stagnation area based on environment perception and intelligent analysis, which relates to the technical field of flood control and disaster reduction and comprises the steps of collecting original data of the flood stagnation area site to form a monitoring lattice; the method comprises the steps of dividing a monitoring lattice into a plurality of monitoring units according to geographic grids, establishing a rainfall penetration model according to rainfall data and soil humidity data, constructing a ground surface radial flow field according to terrain elevation data, calibrating the converging direction of the flow field through a water level data mark, generating a flood zone flooding evolution sequence based on the rainfall penetration model and the ground surface radial flow field, dividing into a flooding grade chart according to time steps, planning an emergency evacuation path of the flood zone, matching with a road network in a geographic information system, generating an optimal evacuation route, issuing grading early warning information to an early warning area, and sending evacuation instructions to residents of the flood zone through an emergency broadcasting system. According to the invention, by establishing a partition early warning mechanism and a differential early warning strategy, accurate delivery and efficient transmission of early warning information are realized.

Inventors

HUANG JING
LIU FENGRUI

Assignees

南京合智信息技术有限公司

Dates

Publication Date: 20260505
Application Date: 20250520

Claims (8)

1. The flood-stagnation area emergency evacuation early warning method based on environment perception and intelligent analysis is characterized by comprising the following steps of, Collecting original data of a flood stagnation area site through an environment monitoring sensor node, and forming a monitoring lattice, wherein the original data comprise rainfall data, soil humidity data, terrain elevation data and water level data; dividing the monitoring lattice into a plurality of monitoring units according to geographic grids, establishing a rainfall infiltration model according to the rainfall data and the soil humidity data, constructing a ground surface radial flow field by combining the terrain elevation data, and marking the converging direction of the radial flow field by the water level data; Generating a flood-inundation evolution sequence of the flood-inundation area based on the rainfall infiltration model and the surface radial flow field, and dividing the flood-inundation evolution sequence into a flooding class diagram according to a time step; Planning an emergency evacuation path of the flood-stagnation area according to the flooding grade diagram, and matching the emergency evacuation path with a road network in a geographic information system to generate an optimal evacuation route; dividing a flood-stagnation area early-warning area based on the optimal withdrawal route, issuing grading early-warning information to the early-warning area, and sending withdrawal instructions to residents in the flood-stagnation area through an emergency broadcasting system; the flood-flooding evolution sequence generation method of the flood-flooding area comprises the following steps of, Based on the distribution intensity of the water dynamic field, a dynamic equation set of the flooding process of the flood-stagnation area is established by adopting a water balance principle, wherein the dynamic equation set comprises a continuity equation and a momentum equation; Constructing a flood-area water body diffusion model according to the hydraulic gradient, and calculating a dynamic expansion process of a flooding range and a flooding front propulsion speed; generating a flood-zone flooding evolution sequence by adopting a time sequence deduction method based on the dynamic expansion process and the flooding front edge propulsion speed, wherein the flooding evolution sequence comprises water depth inter-field sequence data, flow velocity inter-field sequence data and flooding range time sequence data; Dividing the submerged evolution sequence according to a preset time step to generate a series of submerged state sections; setting a submerged dangerous grade according to the water depth and the flow velocity, and classifying the submerged cross sections in a grading manner; Constructing a submerged level diagram according to the classification result, and annotating the submerged level diagram with key ground feature positions and retreat channels; the specific formula of the submerged leading edge propelling speed is as follows: ; Wherein, the In order to drown out the leading edge thrust speed, The acceleration of the gravity is that, Is the depth of water, the water is in the water, Is a hydraulic gradient, and the hydraulic gradient is formed, Is the gradient of the ground surface, As a coefficient of roughness (c) the, As the water depth influence coefficient, The area is submerged for the time t, For the flooding of the area at the previous moment, For the perimeter of the submerged area at time t, In time steps.
2. The flood-area emergency evacuation early-warning method based on environment awareness and intelligent analysis of claim 1, wherein the method is characterized in that based on the optimal evacuation route, the flood-area early-warning area is divided, and hierarchical early-warning information is issued to the early-warning area, and evacuation instructions are sent to residents in the flood-area through an emergency broadcasting system, and comprises the following steps: Dividing the flood stagnation area into a plurality of early warning areas according to the spatial distribution characteristics of the optimal evacuation route and combining the topography and population distribution conditions; Performing risk assessment on each early warning region, grading each region according to assessment results, and establishing early warning grade grading standards; making early warning information aiming at the early warning level, and generating an early warning information release scheme, wherein the early warning information comprises threat level, evacuation time limit, evacuation route and danger avoidance guide; an emergency broadcasting system is arranged in each early warning area, a partition control mechanism is established, and the early warning information is directionally released; based on the early warning grade, adopting different release strategies to formulate a withdrawal instruction release flow, setting an early warning information release effect evaluation mechanism, and evaluating early warning coverage rate through field inspection and information feedback.
3. The flood-stagnation area emergency evacuation early warning method based on environment awareness and intelligent analysis of claim 2, wherein the optimal evacuation route is generated by the method, Based on the flooding risk level of the flooding level diagram, analyzing the evacuation feasibility of each area in the flood stagnation area by adopting a multi-layer path planning model; invoking road network data in a geographic information system, and extracting spatial distribution information of a trunk road, a secondary trunk road and a branch road in a flood stagnation area; Performing topology analysis on the space distribution information, establishing a road network layer, and identifying attribute information, wherein the attribute information comprises road grade, road surface type and road width; the submerged level diagram is overlapped to the road network diagram layer, road sections affected by the submerged are screened out, and road traffic risk indexes are calculated; Adopting a heuristic path searching algorithm, taking the road traffic risk index, the path length and the expected traffic time as constraint conditions, and taking a minimum risk path as a target, constructing an emergency evacuation path network, and generating a plurality of optional evacuation paths, wherein the emergency evacuation path network comprises a main channel and an alternative channel; and optimally sequencing the multiple optional evacuation paths, comprehensively evaluating safety margin, traffic efficiency and capacity constraint of each path, and screening out an optimal evacuation route, wherein the optimal evacuation route is divided into a plurality of evacuation channels according to regions, and the evacuation channels are all provided with the optional paths.
4. The flood-stagnation area emergency evacuation early warning method based on environment awareness and intelligent analysis of claim 1 is characterized in that the method for acquiring the distribution intensity of the hydrodynamic field is, Dividing the flood-stagnation area into a plurality of second monitoring units by adopting a self-adaptive mesh subdivision method based on the spatial distribution characteristics of the monitoring lattice; In the second monitoring unit, dividing a soil profile through multi-layer soil structure characterization based on the rainfall data and the soil humidity data, establishing a rainfall infiltration model, and calculating vertical infiltration flux by using a richard equation; Constructing a three-dimensional earth surface form according to the terrain elevation data, and describing earth surface relief features through a digital elevation model to extract terrain parameters, wherein the terrain parameters comprise gradient and slope direction; constructing a surface runoff field according to the three-dimensional surface morphology, discretizing the surface runoff field into a calculation grid, and describing a surface water flow motion rule by adopting a diffusion wave equation; dynamically calibrating the surface diameter flow field through water level data, and calculating a hydraulic gradient according to the water level difference of the adjacent second monitoring units; Establishing a water quantity exchange relation between the second monitoring units, calculating the transverse supply quantity between the second monitoring units, and taking the transverse supply quantity as a boundary condition of a rainfall infiltration model, wherein the water quantity exchange relation is the coupling effect of surface runoff and soil lateral infiltration, and solving a water quantity balance equation through iterative calculation; And acquiring the water dynamic field distribution intensity of the flood stagnation area by adopting a coupling solving mode based on the rainfall infiltration model and the surface radial flow field.
5. The flood-stagnation area emergency evacuation early warning method based on environment awareness and intelligent analysis according to claim 4, wherein the specific formula of the water power field distribution strength is as follows: ; Wherein, the Is the distribution intensity of the hydrodynamic field, For the number of layers of the soil, In order to achieve a coefficient of osmotic effect, Is the unsaturated water conductivity of the i-th layer of soil, As the depth-of-fall-off coefficient, For the depth of the soil of the i-th layer, The number of grids is calculated for the surface, For the water depth of the j-th grid, Is the coefficient of the roughness of Manning, Is the ground slope of the j-th grid, In order to calculate the length of the time period, For the reference time instant of day, Is a time scale.
6. The flood-stagnation area emergency evacuation early warning method based on environment awareness and intelligent analysis according to claim 4 or 5, wherein the monitoring lattice is generated by the following steps of, Arranging a plurality of environment monitoring sensor nodes in the flood-stagnation area range, and dividing the distribution positions of the environment monitoring sensor nodes into a plurality of first monitoring units; Transmitting the original data acquired by the environment monitoring sensor node to a data sink node through a wireless communication module, wherein the data sink node carries out timestamp marking and space coordinate marking on the original data to form a monitoring lattice data set; and carrying out data quality inspection on the monitoring lattice data set by adopting a multiple discrimination algorithm, removing abnormal data, and carrying out interpolation processing on missing data to generate a monitoring lattice.
7. The computer equipment comprises a memory and a processor, wherein the memory stores a computer program, and the computer program is characterized in that the processor realizes the steps of the flood stagnation area emergency evacuation early warning method based on environment awareness and intelligent analysis according to any one of claims 1-6 when executing the computer program.
8. A computer readable storage medium is provided with a computer program, which is characterized in that the computer program is executed by a processor to realize the steps of the flood stagnation area emergency evacuation early warning method based on environment awareness and intelligent analysis according to any one of claims 1 to 6.

Description

Flood stagnation area emergency evacuation early warning method based on environment sensing and intelligent analysis Technical Field The invention relates to the technical field of flood control and disaster reduction, in particular to an emergency withdrawal early warning method for a flood stagnation area based on environment awareness and intelligent analysis. Background Traditional flood-stagnation area management mainly relies on hydrologic station networks and manual inspection, and adopts an empirical judgment and simple threshold early warning mode. In recent years, with the development of internet of things, geographic Information Systems (GIS) and artificial intelligence technologies, flood stagnation area monitoring and early warning gradually evolves to a digitalized and intelligent direction. A great deal of researches are carried out by students at home and abroad aiming at flood stagnation area safety management, and a flood inundation range extraction method based on remote sensing data, a flood evolution prediction method based on a hydrodynamic model, an emergency evacuation path planning method based on GIS and the like are provided. However, the existing flood stagnation area early warning system has the common problems of insufficient monitoring data precision, single early warning index, insufficient timely and accurate early warning information release and the like. Particularly, under the condition of complex terrain, the rainfall-runoff-submerged dynamic evolution process is difficult to accurately describe, so that the early warning decision lacks scientific basis. At present, the flood-stagnation area early warning system faces a plurality of technical bottlenecks in practical application, namely firstly, the traditional single-point hydrologic monitoring is difficult to comprehensively reflect hydrologic situation changes of the flood-stagnation area, local rapid water accumulation and other emergency situations cannot be captured timely, secondly, the traditional early warning method usually ignores influences of key factors such as soil saturation, topography characteristics and the like on the flooding process, early warning accuracy is limited, and secondly, early warning information release lacks regional difference consideration, and differential early warning strategies cannot be adopted according to risk grades of different areas, so that early warning effects and withdrawal efficiency are affected. In addition, the existing emergency evacuation path planning method is simple, dynamic changes of road traffic capacity and real-time inundation conditions are not fully considered, and an optimal evacuation scheme is difficult to provide for residents. Aiming at the problems, the invention provides a flood stagnation area emergency withdrawal early warning method based on environment awareness and intelligent analysis, according to the method, high-precision environmental data are obtained by constructing a multi-source sensor monitoring network, and rainfall infiltration model and surface runoff field analysis are integrated, so that accurate simulation and prediction of the flood area flooding process are realized. Meanwhile, the GIS technology is combined to optimize the evacuation path and perform partition early warning, so that the timeliness and pertinence of early warning are remarkably improved. Disclosure of Invention The invention is provided in view of the problems of the existing flood stagnation area early warning system in environmental monitoring precision, flooding process prediction and emergency evacuation decision. Therefore, the invention aims to solve the problem of realizing accurate prediction of the flooding process by an intelligent analysis means, thereby providing timely and reliable partition early warning information and an optimal evacuation scheme for residents in a flood-stagnation area. In order to solve the technical problems, the invention provides the following technical scheme: According to the emergency evacuation method for the flood-area, the flood-area emergency evacuation early warning method comprises the steps of collecting original data of a flood-area site through environment monitoring sensor nodes and forming a monitoring lattice, dividing the monitoring lattice into a plurality of monitoring units according to geographic grids, building a rainfall infiltration model according to the rainfall data and the soil humidity data, building a surface diameter flow field according to the geographic grids, marking a converging direction of the flow field through the water level data, generating a flood-area flooding evolution sequence according to the rainfall infiltration model and the surface diameter flow field, dividing the flood-area flooding evolution sequence into a flooding grade diagram according to time steps, planning an emergency evacuation path of the flood-area according to the flooding grade diagram, matching the emergen