39 results about "Flood water" patented technology

The invention provides a flood simulation method driven by physical and data fusion, and belongs to the technical field of flood simulation, the method comprises the following steps: pre-training to obtain a qualified urban flood simulation model, a target loss function comprising a data supervision loss item and a physical constraint loss item, the physical constraint loss item is composed of a mass conservation residual error loss item, a momentum conservation residual error loss item and an energy conservation residual error loss item; inputting ground elevation data and historical meteorological data of a target area in a city into the hydrological model to obtain water depth grid data and flow velocity grid data, and inputting the water depth grid data and the flow velocity grid data into the city flood simulation model for prediction processing to obtain water depth grid data and flow velocity grid data of the target area at different time points in the future; and based on the data at different time points, generating an urban flood ponding dynamic evolution graph of the target area. The invention aims to improve the efficiency and accuracy of urban flood scene prediction.

The invention discloses an urban flood mapping and driving factor analysis method based on multi-source remote sensing data, and the method comprises the steps: respectively extracting an optical semi-permanent water body and an SAR semi-permanent water body based on a global surface water body data set and a Sentinel-1 image, and taking the intersection of the optical semi-permanent water body and the SAR semi-permanent water body to generate an enhanced semi-permanent water body mask; extracting a water body in a flood period by using the Sentinel-1 image to obtain flood water body distribution, and performing water body extraction precision verification in combination with the Sentinel-2 image; the precision of the SRTM DEM is improved based on a DEM error prediction model of a Transform network, and a corrected DEM is generated; and constructing a multi-dimensional spatial analysis model based on the elevation, gradient and surface coverage type of the corrected DEM, and identifying spatial distribution characteristics and a terrain driving mechanism of the flood water body. According to the method, comprehensive analysis is performed in combination with terrain factors, and the spatial precision and timeliness of flood risk assessment can be improved.

The invention belongs to the crossing field of water conservancy and computer vision, and provides an urban flood depth real-time monitoring method based on intelligent three-dimensional vision. According to the method, firstly, an unmanned aerial vehicle is adopted for aerial photography to collect multi-view images of scenery in an urban area, and refined three-dimensional reconstruction is carried out on the multi-view images; then, shooting a two-dimensional image of the scenery by using a camera, matching the two-dimensional image with the image shot by the unmanned aerial vehicle, and screening out a plurality of most similar images; dense feature comparison is carried out on the two-dimensional image and the three-dimensional information, and the pose of the camera is calculated according to the corresponding relation of feature points; and finally, through SAM2 segmentation and autoregressive mechanism optimization, extracting a water surface area with a stable time sequence, and in combination with a known camera pose, back-projecting a water surface edge to a three-dimensional space, obtaining the water depth of accumulated water around the scene, and realizing real-time monitoring of urban flood water depth data. The method provides important technical support for fine real-time early warning of urban flood, and has practical engineering application value.

The invention discloses a flood water depth estimation method based on deep learning and an FwDET model. The method is used for solving the problems that in a traditional method, multi-source data consistency is poor, change detection precision is low, water depth estimation is complex, and a structured result is lacked. According to the method, high-precision flood recognition is achieved through double-time-phase same-source SAR remote sensing images, the depth of the flood is rapidly estimated in combination with DEM data, an automatic processing flow is constructed, efficient, accurate and extensible flood disaster monitoring is achieved from pixel-level recognition to vectorization expression, and reliable data support is provided for disaster assessment and emergency response.

The invention provides a reservoir flood prevention water level early warning method and system and a storage medium, and relates to the technical field of flood prevention water level early warning. Setting a dam judgment rule, selecting historical dam forming data and historical dam breach data from historical data based on the rule, constructing and training a dam breach prediction model based on the data, and obtaining predicted dam breach data through the dam breach prediction model; acquiring water level data and section data of each main branch at the inlet of the reservoir, and determining a dam breaking water level of each main branch at the inlet of the reservoir by combining the current dam existence time and the predicted dam breaking data; and acquiring water level data of the reservoir, combining the water level data of each main branch at the inlet of the reservoir and the dam breaking water level to finish flood prevention grading early warning of the reservoir, and sending out a corresponding early warning signal.

The invention discloses a directional dredging method for silted silt on one side of a river channel. The method comprises the steps that in the pretreatment stage, a longitudinal main groove and a plurality of transverse auxiliary grooves are excavated in a siltation area along water flow, a spur dike is arranged at the initial section of the main groove, and a movable track system carrying a high-pressure erosion and siltation and negative-pressure guide and drainage module is laid along a siltation bank; in the dynamic desilting stage, desilting equipment and reservoir desilting facilities are cooperatively operated according to the hydrological sediment situation in the flood season, all modules and desilting bottom holes are opened in the early stage of flood, the high-pressure desilting module is closed in the middle stage of flood, full-force desilting of the negative-pressure guiding and dredging module is maintained, and the desilting equipment is closed in the last stage of flood, and the discharged flow is gradually reduced; and in the later-stage protection stage, a floating body system with sand blocking and flow guiding functions is arranged on the upstream of the desilting section. According to the method, precise and efficient removal of silted silt on one side is achieved, ecological disturbance is small, and the re-silting speed after desilting can be effectively reduced.

In an approach for efficient flood water analysis from spatio-temporal data fusion and statistics, a processor classifies regular waters by using cartographic data in a first location. A processor generates a water stream network including a watershed based on elevation data. A processor performs statistical analysis of spectral information from a multi-spectral satellite imagery over water bodies including the regular waters and flood waters. A processor correlates the spectral statistics of the multi-spectral satellite imagery to kinetic energy of the flood waters using machine learning techniques and physical modeling. A processor builds a learning model based on the correlation between the spectral statistics and the flood waters with the kinetic energy. A processor estimates kinetic energy of flood waters in a second location using the learning model. A processor evaluates a flooding risk for the second location based on the estimated flood waters kinetic energy.

The invention discloses an urban deep tunnel system integrating rainfall flood water storage and a pumped storage power station, and relates to the technical field of urban drainage waterlogging prevention and energy storage. An urban deep tunnel system integrating rainfall flood storage and a pumped storage power station comprises an urban deep tunnel drainage device, a water storage device, a power generation device and a water delivery device, one end of the urban deep tunnel drainage device is connected to the ground surface, and the other end of the urban deep tunnel drainage device is sequentially connected to the water storage device, the power generation device and the water delivery device. The urban deep tunnels are comprehensively utilized for rainfall flood storage, rainstorm flood is converted into water resources capable of being recycled, the pumped storage power station is introduced, the comprehensive utilization system for preventing and treating urban inland inundation and generating power is developed, the purposes of rainfall flood management and peak regulation and frequency modulation energy storage and power generation are achieved, and high economic benefits are achieved; pollutant emission caused by thermal power and the like in cities is reduced, energy conservation, emission reduction and ecological environment protection of the cities are assisted, and urban inland inundation prevention and treatment are considered.

The present application provides a water stop plate capable of being easily installed and constructing a water stop wall in a short time at any place such as a road, an opening of a building, or the like where flood water enters or is expected to enter. The water stop plate of the present application is a water stop plate (A) capable of constructing a water stop wall by being connected in the left-right direction via a connecting member (B), the water stop plate (A) including a water stop plate main body (A2) and a connecting portion, the water stop plate main body (A2) including a bottom portion (1) placed on a water stop wall construction surface (E) of a water stop wall (F) to be constructed, and an upright portion (2) vertically provided upward from a rear portion of the bottom portion (1), the connecting portion including an upper connecting portion formed on an upper portion of the water stop plate main body (A2) and detachably connected to an upper portion of the connecting member (B), and a lower connecting portion formed on a lower portion of the water stop plate main body (A2) and detachably connected to a lower portion of the connecting member (B).

This invention discloses an intelligent water quality prediction method for watershed floods based on dynamic weight optimization and deep reinforcement learning. The method comprises the following steps: collecting historical flood water quality observation data and historical flood hydrological data; standardizing the historical flood hydrological data to obtain comparison sequences and reference sequences, and then performing dimensionless processing; calculating dynamic grey relational coefficients and weighted grey relational degrees using the dimensionless comparison sequences and reference sequences, and sorting them to form a weighted grey relational degree sequence; using the weighted grey relational degree sequence to filter out effective historical flood fields, and performing dynamic weight optimization based on a long short-term memory network and a reinforcement learning agent based on the TD3 algorithm; and calculating the final predicted flood water quality data using the historical flood water quality observation data and the historical flood weights. This invention's prediction method enables intelligent water quality detection during flood processes, providing accuracy, real-time performance, and adaptability.

The invention discloses a flood protection control method and system for a photovoltaic tracking assembly. The method comprises the following steps: collecting a real-time flood water level; judging whether the real-time flood level is greater than or equal to a flood level threshold; if yes, real-time flood intervention time is collected, whether the real-time flood intervention time is larger than or equal to a flood intervention time threshold value or not is judged, if yes, a first protection instruction is generated to execute flood protection operation, the real-time flood water level is continuously collected, and if the current real-time flood water level is smaller than'flood water level threshold value-threshold fluctuation value ', real-time flood intervention quitting time is collected; and judging whether the time is greater than or equal to the flood exit intervention time threshold, and if so, stopping executing the flood protection operation. The method solves the problem that in an existing photovoltaic tracking support flood control method, only the flood level serves as the judgment basis of protection triggering, and the stability of the duration time of the flood level is not considered.

1. The name of the design product: flood water level monitoring equipment. 2. The use of the design product: a flood water level monitoring equipment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The present invention provides a base for a flood defence barrier, wherein the base comprises a bottom face intended to rest on the surface on which the base is to be placed, a front face intended to contact the flood water and a rear face on the opposite side of the base to the front face, wherein the front face is positioned at an acute angle to the bottom face, one or more holes extending through the base from the front face to the rear face, and a filtering means on the front face that at least partially covers the one or more holes.

The utility model discloses a flood level real-time monitoring and early warning device stable in operation, which relates to the technical field of flood monitoring equipment and comprises a base, a column is fixedly arranged at the top of the base, a plurality of partition plates are fixedly arranged in the column, and a radar water level gauge is fixedly arranged at the top of one partition plate. The radar water level gauge and pressure type water level sensor dual-backup design is adopted, an advanced data processing algorithm is combined, it is ensured that the water level monitoring precision reaches the centimeter level, accurate data support equipment is provided for flood control decision making, the equipment has multiple protection measures including water prevention, lightning protection and the like, and the equipment can adapt to various severe natural environments and is high in practicability. A power supply mode with solar power supply as a main power supply and mains supply as an auxiliary power supply is adopted, energy-saving and environment-friendly concepts are met, equipment operation cost is reduced, and the system is particularly suitable for remote areas and field environments.

The present invention discloses a site cluster flood monitoring and early warning method, system and application, which relate to the field of data monitoring and early warning technology. The method includes deploying multiple water level monitoring stations along the river from upstream to downstream; the downstream station actively obtains the monitoring data of the upstream station, and calculates the flood rise rate and peak flow rate based on the monitoring data of the upstream station, measures the time when the flood arrives downstream and the flood water level when it arrives, and then determines whether there is a risk of flooding residents along the river; and sends early warning information to residents along the river based on the judgment result. The system includes a central platform, multiple self-organizing networks, multiple water level monitoring stations and telemetry terminals. It is applicable to both the state where the public network is unobstructed and the state where there is no public network. The present invention can independently complete the acquisition, analysis and early warning judgment of monitoring data; use the powerful function of edge computing to improve the computing power of the water level monitoring station, reduce the complexity and importance of the central platform, and improve the reliability of the entire system.

The invention relates to an experimental device and an experimental method for urban surface-underground space flood simulation, the experimental device comprises an underground space model, a surface model and a rainfall simulation device, and the underground space model is internally provided with a plurality of underground building models; the ground surface model is located above the underground space model and comprises a ground model and a channel model, a river channel model, a pipe network model and a ground facility model which are located on the ground model, and the channel model is communicated with the ground model and the underground building model; the rainfall simulation device is configured to spray water drops to the earth surface model and simulate extreme rainfall. When the experimental device is in a working state, the rainfall simulation device simulates extreme rainfall to the earth surface model, the pipe network model collects and discharges the rainfall to the river channel model, and the river channel model discharges water; after the drainage capacity of the pipe network model and the river channel model reaches a threshold value, the ground model and the ground facility model cooperatively simulate the evolution process of waterlogging on the ground surface, and after waterlogging accumulation is higher than a preset value, the waterlogging enters the underground building model from the channel model.

The invention relates to an automatic burst type flood discharge plugging body of a flood diversion opening door, and particularly provides the automatic burst type flood discharge plugging body of the flood diversion opening door and a design method and a manufacturing method of the automatic burst type flood discharge plugging body. The problems that an existing flood diversion opening door blocking body cannot achieve automatic grading opening according to the water level, accurate discharge regulation and control and safety and economical efficiency at the same time are solved. In order to achieve the purpose, according to the automatic burst type flood discharge blocking body of the flood diversion opening door, a control water level and a hole are formed in the blocking body, the position of the hole corresponds to the height of the control water level, and an easy-to-erode body is arranged in the hole to seal the hole. The hole corresponding to the control water level is formed in the plugging body, the hole is filled with the easy-to-erode body, the plugging body is kept in the closed state in the non-flood diversion period, when the flood level reaches the preset control water level, the easy-to-erode body can be automatically flushed by the flood to form an overflowing channel, and therefore the water level of the flood is controlled to be higher than the preset control water level. Therefore, the automatic burst flood discharge effect without external power or manual intervention is achieved.

A flood panel barrier system is configured to block flood water from intruding into a structure at a throughway that leads into the structure. The flood panel barrier system takes advantage of the walls of the structure being water impermeable, such that water cannot pass into the structure through the walls. A flood panel extends across the through way and is fastened to the opposing walls. Vertical angled brackets are used to fasten the flood panel to the walls, including gaskets between the bracket and the walls and flood panel. There is also a horizontal angled bracket across the bottom of the flood panel to fasten the flood panel to the ground surface, with a gasket between the ground surface and the horizontal angled bracket and the bottom of the flood panel. The flood panel has a removable portion that allows people to move through the flood panel when flood panel barrier system is installed, and before the are flood waters.

An IK-means method for extracting flood water based on time series fusion images, comprising the following steps: S1, obtaining radar time series images and optical time series images from remote sensing satellites; S2, using the VH band in the radar time series images and the vegetation index NDVI in the optical time series images, a multi-band image is synthesized; S3, taking a group containing the SRTM Plus terrain feature and the synthesized multi-band image as the input image of the k-means classifier, calculating the NDVI feature and the VH feature of each category classified by the k-means classifier, and establishing a model for automatically identifying the flood category in the clustering category according to the NDVI feature and the VH feature of the water body during the flood, so as to identify the flood water body.

The invention relates to the technical field of hydrological disaster early warning, and discloses a flood inundation risk assessment method, device and equipment and a storage medium, and the method comprises the steps: building a corresponding historical water level-flow relation curve based on the water level and flow of each historical time period; acquiring a preset flood frequency; curve correction is carried out based on hydrological conditions, and a target water level-flow relation curve is obtained; under a preset flood frequency, carrying out submerging dynamic simulation based on the target water level-flow relation curve and the real-time hydro-meteorological data to obtain a submerging simulation result; and based on the inundation simulation result, the auxiliary data and the digital elevation model, determining and integrating multi-dimensional risk assessment results to obtain the inundation risk of the research area under the preset flood frequency. According to the method, the historical curve is dynamically migrated to the current condition, the preset flood frequency is met, the actual flow passing capacity of the river channel is fit, overestimation or underestimation of the same-frequency flood water level is avoided, the flood risk assessment accuracy is improved, and a scientific basis is provided for comprehensive disaster prevention and reduction.

The invention provides a flood water body extraction method and system fused with a multi-modal remote sensing image, and the method comprises the steps: enabling a to-be-processed multi-modal remote sensing image to be aligned with elevation data, defining a region of interest, and carrying out the resampling, thereby obtaining a multi-modal remote sensing image of a target domain; inputting a multi-modal remote sensing image of a target domain into the trained fine-tuning MMFNet network, and outputting a flood water body extraction result; wherein the training process of the fine tuning MMFNet network comprises the following steps of: obtaining a pre-trained MMFNet network, which comprises an input adapter, a Transform encoder and a multi-mode decoder; replacing a multi-mode decoder in the pre-trained MMFNet network with a 2D transposed convolution neck part and an FCN decoder head part to obtain a fine tuning MMFNet network; and obtaining fine tuning training data, training the fine tuning MMFNet network, and outputting the trained fine tuning MMFNet network.

The invention discloses a flood area water semantic segmentation method based on multi-scale feature fusion, and the method comprises the following steps: S1, carrying out the processing of an image through a backbone network MSWHRNet, and obtaining a high-resolution feature map and a low-resolution semantic feature map; s2, the high-resolution feature map and the low-resolution semantic feature map enter an ASPP module, and feature information of different scales of the flood water body is captured through multi-scale cavity convolution operation; s3, after adaptive average pooling operation is carried out on the feature maps processed by the ASPP module, a GFS module screens the feature maps by utilizing a gating unit based on a feature selection fusion mechanism, then fuses the screened feature maps and outputs a new feature map; and S4, enabling the feature map subjected to feature selection fusion and pooling processing to enter an output module for decoding, and outputting a water body segmentation result. According to the method, more comprehensive water body feature capture can be realized, and the water body boundary and dynamic region segmentation precision is improved.

The invention relates to the technical field of hydroelectric power generation, and discloses a cascade hydropower station scheduling method considering supply guarantee and flood prevention restriction relation, which comprises the following steps: analyzing power generation characteristics of cascade hydropower stations, carrying out centralized hydro-fluctuation control on a reservoir with regulation capability through a simulation experiment method, determining the optimal hydro-fluctuation time, and establishing a pre-flood water level hydro-fluctuation time constraint; the maximum generating capacity and the minimum abandoned water amount are taken as targets, a pre-flood water level fluctuation time constraint and a hydropower station basic constraint are combined, an electric power supply guarantee constraint and a flood control constraint are considered, a coordinated optimization scheduling model of the hydropower station is constructed and solved, an optimal scheduling scheme is generated, and efficient utilization of water resources and maximization of electric power are achieved. According to the method, optimal dispatching of combined operation of the cascade hydropower stations is achieved, the water level of the hydropower stations is effectively adjusted, water waste is reduced, meanwhile, the power generation efficiency is improved, and the supply protection capacity under different inflow water conditions is ensured.

The present application relates to a kind of river embankment dam break flood prediction method and device, belong to flood prediction technical field, method includes according to weather bureau forecast rainfall, using historical rainfall-river boundary fitting algorithm to predict future river boundary data, and based on future river boundary data and one-dimensional water power coupling mathematical model, future river section water level and future river section flow are predicted;Based on future river section water level and future river section flow, in combination with the algorithm of discontinuous interface, the water depth and flow rate of coupling interface are determined;The water depth and flow rate of coupling interface are used as boundary condition, act on two-dimensional water power coupling mathematical model, and in combination with momentum flux correction method, future ground flood water level is predicted, the problem of static water imbalance, unstable prediction exists when flood water level is predicted is solved, to improve flood water level prediction accuracy advantageously.

The invention discloses a plain rapid water network structure and a construction method thereof, and aims to construct a'three-stage river channel and two-stage surrounding 'plain rapid water network by adopting the concept of'graded river channel and graded fortification' aiming at flood risks caused by flat terrain and insufficient river kinetic energy of a plain. According to the method, flood control and drainage standards are set in a differentiation mode, flood water in all areas of the plain can be rapidly and efficiently converged into a water network backbone drainage channel through a rapid water network scheme, the flood control and drainage safety of the plain is comprehensively guaranteed, and the flood control and drainage safety of the plain is comprehensively guaranteed. The continuous time of the high water level in the area is shortened, the flood control water level of a large-quantity and wide-area important protected object is reduced, the benefits of backbone discharge engineering are fully exerted, meanwhile, multiple functions such as shipping, tourism and traffic can be well combined, and efficient prevention and control of plains flood and intensive utilization of resources are achieved.

The present application relates to the technical field of hydro-meteorological monitoring, in particular to a heavy rain and flood water level line early warning monitoring method. The present application ensures the consistency and timeliness of real-time water level data from different data sources through multi-source hydro-meteorological data collection and time synchronization technology. Through accurate time synchronization processing, the deviation caused by data time lag is avoided, ensuring the accurate docking and fusion of various water level data, making the subsequent flood risk assessment and early warning more reliable. Especially under sudden weather conditions such as heavy rain, it can quickly respond and provide accurate risk assessment; the present application combines the combination preprocessing algorithm of moving average filtering and Kalman filtering, effectively removes the noise in the water level data of each data source, and weights the weight of different data sources according to the prediction error, so as to obtain a comprehensive and accurate water level data. This fusion method improves the smoothness and accuracy of the data, providing high-quality input data for subsequent risk assessment.

The application discloses a flood water area medical rescue system, which comprises a water area medical rescue unmanned carrier, a water area unmanned transfer boat and a near-shore material transfer station; the water area medical rescue unmanned carrier is provided with a control unit, medical rescue equipment and a limiting lifting platform matched with the bottom of the transfer boat; the control unit controls and dispatches the transfer boat based on the unmanned module to make the water area medical rescue unmanned carrier automatically drive to the vicinity of a rescue operation site; the transfer boat is separated from the limiting lifting platform and is controlled by the control unit to perform water area rescue; the transfer boat is connected with the limiting lifting platform and is used as a platform for patient medical first aid; the near-shore material transfer station provides water, electricity and medical materials to the water area medical rescue unmanned carrier through an interface. The sub-mother system carrier solves the problems of poor water area traffic product passability, low rescue medical product efficiency, low equipment availability and unsafeguarded health conditions in a flood scene.

This invention relates to the field of distribution network resilience assessment technology, specifically to a distribution network resilience assessment and control method based on indoor and outdoor two-dimensional flood simulation. It includes the following steps: collecting multidimensional raw data of the target area; constructing a two-dimensional shallow water equation for the outdoor area and a hydrodynamic infiltration model for the indoor area, outputting a spatiotemporal distribution matrix of flood water depth; calculating a failure probability matrix by combining a preset vulnerability curve function of distribution equipment; generating performance time-series curves through a distribution network power flow calculation model and calculating the distribution network resilience index; and generating a dynamic control strategy using a particle swarm optimization algorithm, with the optimization objectives of minimizing the distribution network resilience index and total load loss. This method, through integrated indoor and outdoor two-dimensional flood simulation technology, fully considers the correlation between indoor and outdoor flood evolution and the differentiated impact on distribution network equipment, solving the problem of traditional assessment methods lacking refined processing of the differences between indoor and outdoor water accumulation.

The present application provides a large and medium-sized reservoir storage capacity calculation and storage capacity loss interval identification method, comprising: using underwater topography measurement method to extract the storage capacity characteristic curve in the elevation range below the dead water level; based on AI technology, water body is identified from remote sensing images to extract the storage capacity characteristic curve in the elevation range from the dead water level to the normal storage water level; based on the digital elevation model, the storage capacity characteristic curve in the elevation range from the normal storage water level to the check flood water level is extracted; the three-section storage capacity characteristic curves are extended and then cross-precision verification is performed; based on the three-section storage capacity characteristic curves, a complete water level-storage capacity relationship curve covering the entire operating water level range is constructed, the storage capacity increment of each water level section is calculated, and the abnormal storage capacity loss interval is determined through the threshold value of the set storage capacity increment. The present application can quickly and accurately calculate the storage capacity value of large and medium-sized reservoirs at different elevations, effectively identify the elevation interval with serious storage capacity loss, and significantly improve the intelligent level and timeliness of reservoir storage capacity calculation.

The invention discloses an urban flood real-time dynamic risk assessment method based on multi-source data fusion, and belongs to the technical field of disaster prevention and reduction of smart cities. The method comprises the following steps: firstly, acquiring physical perception data, virtual perception data and forecast data in parallel; secondly, generating a dynamic flood water depth field with high temporal-spatial resolution by fusing simplified hydrodynamic model simulation, data assimilation correction and video and social multimedia ponding information identification; further, in combination with population, infrastructure, traffic and other multi-dimensional disaster-bearing body data, real-time dynamic risk assessment is carried out, and a comprehensive risk index is generated; and finally, visualizing the result and issuing an early warning. According to the method, the problems of evaluation lagging and low space precision of a traditional method are effectively solved, accurate and dynamic sensing and evaluation of urban flood risk minute-level updating are realized by introducing a multi-source data fusion and feedback learning mechanism, and the urban flood prevention emergency response capability is remarkably improved.