27 results about "Flood water" patented technology

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 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 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 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 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.

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 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 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.

The invention provides a polder area integrated intelligent canal head system and a drought and flood water ecological cooperative regulation and control method, and the system comprises an integrated canal head main body unit which is provided with a main river channel main water gate in the middle, and is provided with a flood drainage pump station and a water diversion pump station at two sides; the wet chamber management room is internally provided with water inlet and outlet runners and impellers of the drainage pump station and the diversion pump station, and is provided with electromechanical equipment and a local intelligent management and control terminal; the sensing control unit comprises a water level, flow and water quality detection monitor and a sensing control module; and the intelligent management and control unit is connected with the channel head node and the monitoring and sensing network through a communication network to realize data summarization, global decision and instruction distribution. Through a highly integrated technical scheme and an intelligent collaborative decision-making system, the problems that the construction cost of a large-pattern polder-irrigation integrated area is high, operation management and protection are difficult, and flood control and drainage-irrigation water supply-water ecology are integrated are solved, and technical support is provided for polder area modernization transformation.

The application discloses a kind of urban flood mapping and driving factor analysis method based on multi-source remote sensing data, comprising the following steps: based on global surface water data set and Sentinel-1 image, respectively extract optical and SAR semi-permanent water body, take the intersection of both to generate enhanced semi-permanent water body mask;Water body distribution is obtained by extracting flood water body using Sentinel-1 image, while combining Sentinel-2 image for water body extraction accuracy verification;The accuracy of SRTM DEM is improved based on the DEM error prediction model of the Transformer network, to generate the corrected DEM;Based on the elevation, slope and surface cover type of the corrected DEM, a multi-dimensional spatial analysis model is constructed to identify the spatial distribution characteristics of flood water body and its topographic driving mechanism.The application can improve the spatial accuracy and timeliness of flood risk assessment by combining with the comprehensive analysis of topographic factors.

The invention discloses a flood depth factor-based power transmission line geological disaster early warning and evaluation system, and relates to the technical field of risk early warning and evaluation. The invention discloses a flood depth factor-based power transmission line geological disaster early warning and evaluation system. The system comprises a client, a server, a data management module, an early warning analysis and calculation service, a safety management module and a database, the client is used for displaying the software system and visually displaying the data; and the server side deploys a three-dimensional page service, a three-dimensional plug-in service and an early warning data acquisition service. According to the invention, through visual management of geographic data, unmanned aerial vehicle data and satellite data, the personal safety problem caused by a working mode of manual field acquisition is avoided, and the safety and the working efficiency are improved; according to the system, an early warning evaluation model is constructed based on various influence factors, early warning risk evaluation of the tower and the foundation is improved, human judgment errors are reduced, and a reliable scientific basis is provided for disaster early warning and emergency disposal.

The invention discloses an end-of-flood water storage method and system based on reservoir area temporary inundation risk control, and relates to the technical field of hydropower dispatching big data acquisition and processing. The method comprises the following steps: constructing an early-stage accumulated rainfall sample set, a forecast in-storage peak sample set in an effective forecast period and an actual in-storage peak sample set; calculating an in-storage peak flow forecasting error, and generating an in-storage peak forecasting error sample set according to early-stage rainfall magnitude grouping; analyzing an error distribution rule of reservoir entry peak flow prediction in the effective prediction period, and determining a prediction error estimation function; calculating the highest dam front water level which does not increase reservoir area submerging and corresponds to different-frequency dam site design flood; and calculating the estimated value of the current forecast reservoir entry peak value after the maximum and small error is considered, comparing the corresponding highest pre-dam water level without increasing reservoir area submerging, judging the submerging risk, and determining a water storage decision. The flood-end water storage method can consider various engineering application targets of flood prevention, power generation, water supply and the like of the hydropower station, and the engineering dispatching mode is reasonably optimized.

The utility model relates to the technical field of pedestal pans, in particular to a split type water tank flushing structure. The split type water tank flushing structure comprises a pedestal pan main body, and a urinal is arranged in the pedestal pan main body; a lower water tank and an overflow water tank which are separated from each other are arranged at the rear end in the pedestal pan main body, and the overflow water tank is arranged above the lower water tank; the water inlet valve is arranged in the overflow water tank; one end of the water communicating pipe is connected with the overflow water tank, and the other end is connected with the lower water tank; the other end of the lower water tank water outlet pipe is connected with the water pump; and the other end of the water pump water outlet pipe is connected with a flushing port at the upper end of the urinal. Due to the split structure of the lower water tank and the overflow water tank, the water tank is very convenient to install on the closestool, the efficiency is high when the water tank is installed on the closestool, and the yield is improved. In addition, pipeline connection arrangement is reasonable, the space in the pedestal pan body is effectively utilized, and a good flushing effect can be achieved.

The invention discloses a basin flood water quality intelligent prediction method based on dynamic weight optimization and deep reinforcement learning, and the method is characterized in that the method comprises the following steps: collecting historical flood water quality observation data and historical flood hydrological data; performing standardization processing on the historical flood hydrological data to obtain a comparison sequence and a reference sequence, and performing dimensionless processing; calculating a dynamic grey correlation coefficient and a weighted grey correlation degree by using the comparison sequence after dimensionless processing and the reference sequence, and sequencing to form a weighted grey correlation degree sequence; screening out an effective historical flood field by using the weighted grey relational degree sequence, and performing dynamic weight optimization based on a long short-term memory network and a reinforcement learning agent based on a TD3 algorithm; and calculating by using the historical flood water quality observation data and the historical flood weight to obtain final predicted flood water quality data. The prediction method provided by the invention can realize intelligent detection of water quality in the flood process, and is accurate, real-time and self-adaptive.

The invention discloses a double-random three-parameter recursive correction method for a predicted flood level of a flood control protection area, electronic equipment and a medium. The method comprises the following steps: setting initial and boundary conditions of a flood control protection area, and classifying the initial and boundary conditions into determined conditions and fuzzy conditions; carrying out primary parameter random setting on the fuzzy condition to obtain a flood routing model, and then carrying out initial flood prediction water level distribution; a three-parameter correction model is constructed, secondary correction parameter random setting is carried out, and corrected flood water level distribution is obtained; based on a recursive optimization mechanism, the corrected flood water level distribution is compared with historical achievements in an achievement library, and an optimal achievement library is obtained; and flood level prediction under the new working condition is carried out through parameters in the optimal result library. According to the method, the flood level prediction result under the extreme meteorological condition is optimized.