728 results about "Flood prevention" patented technology

The invention provides a hydrological forecasting method based on deep ensemble learning and a physical mechanism, and belongs to the technical field of hydrological forecasting, and the method comprises the steps: collecting remote sensing data and time series data, respectively extracting features through a CNN and an LSTM, and carrying out the fusion through a double-cross attention module. Thirdly, combining the hydrological physical model SWAT with the deep learning model CNN to obtain enhanced features; and constructing a plurality of deep learning models as basic learners, performing training by using the training set data, and forming a final prediction result through an integration strategy. According to the hydrological forecasting method based on the deep integrated learning and the physical mechanism, the advantages of the physical mechanism and the deep learning are combined, and the accuracy and the stability of hydrological forecasting are improved. The method is of great significance to water resource management and flood control and disaster reduction.

The invention relates to the technical field of silt dam monitoring, and discloses a silt dam monitoring information sensing integration method and system, and the method comprises the steps: collecting the monitoring data of a silt dam, carrying out the short-time risk prediction at an edge node according to the monitoring data, triggering local early warning based on the short-time risk prediction, and starting a response mechanism; a self-adaptive cooperation mechanism is established between edge nodes, and sensor abnormity and local disaster chains are identified through exchange and comparison of monitoring data between the nodes; and the cloud integrates the monitoring data uploaded by the edge nodes, generates a global risk prediction model through dynamic data fitting, and performs hierarchical emergency response according to a risk prediction result. According to the method, the safety management efficiency of the silt dam is improved, and a scientific support and an intelligent decision foundation are provided for flood prevention and fighting.

The invention relates to the technical field of distributed data processing, in particular to a hydraulic engineering distributed flood prevention prediction system and method.The system comprises a real-time monitoring module for calculating the mean value and variance of data of a water level sensor every five minutes, and an anomaly detection module for comparing the mean value difference with a threshold value, recognizing a sudden change point and sending the sudden change point to a cloud server; the window adjustment module adjusts the collection frequency according to the abnormal result, the trend analysis module predicts the flood trend by applying moving average and exponential smoothing, and the early warning generation module evaluates the water level and generates an early warning signal. According to the method, the mean value and the variance of the water level monitoring data are calculated in real time and compared with the threshold values, so that the recognition capability of the abrupt change point is improved, the data collection frequency and the window size are adjusted according to the anomaly detection result, the adaptability and efficiency of data collection are enhanced, and the water level trend is predicted through the moving average and exponential smoothing technology; and in combination with a geographic information system, the affected area is accurately evaluated, so that the early warning accuracy and the decision support effectiveness are remarkably improved.

The invention relates to a flood prevention block stone reserve high-precision measuring and calculating method, which comprises the following steps: aerial photography and three-dimensional modeling are carried out on the overground part of a flood prevention block stone by using two modes of unmanned aerial vehicle oblique photography and unmanned aerial vehicle laser radar, and the overground volume of the flood prevention block stone is measured and calculated; a ground penetrating radar is adopted to detect the settlement depth of the flood prevention block stone, the volume of the underground part of the block stone is calculated, the volume of the whole block stone can be obtained by adding the volume of the overground part of the flood prevention block stone and the volume of the underground part of the block stone, and the weight of the flood prevention block stone can be calculated. According to the invention, the reserve of the overground and underground parts of the flood prevention block stone can be accurately measured, and technical support is provided for flood prevention and emergency rescue.

The invention discloses a power grid flood prevention risk early warning and auxiliary decision making system based on flood deduction, and relates to the technical field of flood storage area power grid flood prevention. Compared with a previous flood storage area power grid flood prevention method, the problem that an existing flood deduction model is limited in simulation precision and accuracy is solved; the coupling degree of power grid equipment and the flood model is low; cross-department collaboration and information sharing are difficult; and the problems of system visualization and insufficient interactivity are solved. Accurate flood deduction is carried out through the flood deduction model, information such as the flood development trend, the flood submerging range and the water depth of power equipment can be predicted in advance, and prospective guidance is provided for power grid flood prevention work; meanwhile, a power grid operation department adopts a coping scheme in advance based on a risk early warning strategy; when a flood disaster occurs, the system can quickly provide an emergency decision scheme, and the emergency response speed is improved; and VR and AR technologies are combined, so that the visualization degree is greatly improved, and the first-aid repair accuracy and speed are improved.

The invention provides a construction method of an urban inland inundation prediction model and an urban inland inundation prediction method and device, and relates to the technical field of data processing. The construction method of the urban inland inundation prediction model comprises the following steps: constructing an urban inland inundation process model coupled with an emergency drainage mode based on regional topographic data, hydro meteorological data and flood prevention response data; inputting the rainfall data under different scenes into the urban waterlogging process model to obtain waterlogging feature data; performing correlation analysis on the rainfall data and the waterlogging characteristic data, and determining rainfall parameters related to the flood risk from the rainfall data; and constructing sample data according to the rainfall parameters and the waterlogging feature data, and training the neural network model based on the sample data to obtain an urban waterlogging prediction model. According to the technical scheme, the prediction precision of the urban inland inundation prediction model can be improved.

The invention relates to a hydraulic engineering multi-target four-pre-scheduling method based on digital twinning. The method comprises the following steps: constructing a hydraulic engineering data base plate; executing an incoming water forecasting sub-process; executing a flood routing sub-process; a flood early warning sub-process; executing a multi-target intelligent scheduling sub-process; and executing the three-dimensional visualization sub-process. According to the invention, accurate and rapid circulation of data among the unit modules is realized; according to a rehearsal result, accurately mastering the duration time and the peak flood flow of the flood; the scheduling plan is optimized, and the flood control benefit-making and comprehensive scheduling effect of the water conservancy project is fully exerted; and the refined and scientific level of flood control benefit-making dispatching is improved, water resources are utilized to the maximum extent, and comprehensive operation benefits as large as possible are obtained.

The invention discloses a safety and health degree evaluation system for a small reservoir dam. The safety and health degree evaluation system comprises an on-site safety inspection module, a safety monitoring data analysis module, a flood prevention capacity rechecking module, a seepage safety evaluation module, a structure safety evaluation module and a dam safety and health degree total rating module. According to the method, comprehensive safety assessment is carried out on the dam by adopting multi-source information, and the uncertainty and subjective influence in the dam service performance assessment and early warning process are reduced.

The invention discloses an urban deep tunnel arrangement structure capable of achieving forward flood drainage and reverse water replenishing and an operation method, and belongs to the field of water conservancy project drainage deep tunnel engineering layer.The arrangement structure comprises a water inlet, a deep tunnel, an outlet hub and a reverse water replenishing and purifying facility, and the water inlet is formed in a low-lying area along the deep tunnel and connected with an urban river channel; the outlet hub is arranged at the tail end of the deep tunnel to communicate the deep tunnel with the undertaking water area; and the reverse water replenishing and purifying facility is arranged at the outlet hub. The underground deep tunnel is adopted for water delivery, and during forward drainage, urban waterlogging water is drained into an undertaking water area through the deep tunnel, so that the drainage and flood control functions are achieved; in the reverse water replenishing period, the purified water of the bearing water area is replenished into the urban river channel through the deep tunnel, and the ecological water replenishing function is achieved.

The invention discloses an intelligent water conservancy-oriented drainage basin flood forecasting system based on capacity expansion of a flood storage and detention area, relates to the technical field of intelligent water conservancy flood prevention forecasting and early warning, and aims to solve the problem of flood simulation forecasting errors caused by distortion of a water level-volume curve under a low storage capacity condition when internal subsections of a flood storage and detention area are started or partially outburst. The system comprises a main riverway hydrodynamic simulation forecasting module, a flood storage and detention area starting judgment module, a flood storage and detention area topology analysis module and a flood storage and detention area subsection expansion simulation module. The main river channel hydrodynamic simulation forecasting module adopts a hydrodynamic model to carry out flood simulation forecasting, the flood storage and detention area starting judgment module judges whether a flood storage and detention area is started or not according to user input data and a main river channel simulation result, and the flood storage and detention area topology analysis module determines the connection and capacity expansion sequence of each independent branch. The flood storage and detention area subsection capacity expansion simulation module realizes subsection capacity expansion simulation by dynamically calculating the outer boundary and the internal flood diversion flow, and calculation is scientific and efficient.

The invention discloses a flood risk map result data coupling and management method, and relates to the technical field of hydrological information processing and geographic information systems, and the method comprises the following steps: obtaining hydrological data and topographic data required by flood risk assessment, including water level time sequence data, submerging depth data and TIN topographic data, and carrying out standardized conversion on data in different formats, and carrying out unified alignment based on a coordinate reference system. According to the method, the coupling precision of the hydrological data and the topographic data is improved through the adaptive Delaunay triangulation algorithm, and simulation distortion caused by time-space mismatching is avoided; the storage is optimized by adopting a topological optimization GeoJSON data structure, so that the query and management efficiency is improved; gPU acceleration rendering and LOD layering technologies are combined, the real-time visualization capability of flood simulation is improved, and efficient and accurate data support is provided for flood prevention emergency management and water conservancy decision making.

The invention relates to the technical field of water conservancy flood prevention monitoring, and discloses a water conservancy flood prevention monitoring and early warning method and system. The method comprises the following steps: acquiring multi-source hydrological monitoring data including real-time rainfall, riverway water level, soil humidity and weather forecast data, and constructing a comprehensive hydrological information basis; flood risk analysis is carried out based on the data, a flood risk prediction signal and a flood situation evolution signal are synchronously generated, and the flood occurrence probability and the development trend are clarified. And combining the flood risk prediction signal with the multi-source data to determine flood prevention regulation and control parameters and generate an optimized flood prevention signal. Flood prevention facility operation is adjusted according to the optimized flood prevention signal and the flood situation evolution signal, an early warning control signal is output, the two signals are processed at the same time to generate a comprehensive early warning index, and the severity of the flood situation is visually reflected. According to the method, hydrological data multi-dimensional fusion is realized, flood prevention monitoring and early warning are promoted to change from single data dependence to multi-source collaboration, and the flood situation response efficiency is improved.

The present invention belongs to the technical field of flood prevention and water retaining, and specifically discloses a non-powered flip-type flood prevention baffle device. It comprises: a base fixedly arranged on the ground, an arc-shaped pressure plate and a leaf spring mechanism arranged on the base, the other end of the leaf spring mechanism is connected to a water retaining plate with a hollow structure, and a locking mechanism is also provided on the base, which is used to lock the water retaining plate when the water retaining plate is in a horizontal state, and a limit column for limiting the maximum flipping angle of the water retaining plate. The present invention uses a leaf spring and an arc-shaped pressure plate as the rotating shaft of the flipping movement of the water retaining plate, provides torque for the flipping movement of the water retaining plate, so that the water retaining plate can flip according to a predetermined arc without deviation, and at the same time, the leaf spring mechanism plays the role of sealing and retaining water at the bottom of the device, and cooperates with the locking mechanism to realize automatic upward flipping and water retaining under flooding conditions without power, and automatically returns to the position and locks after the water recedes, without affecting traffic, and has a simple structure and strong flood prevention ability.

The invention discloses a water conservancy scenic spot disaster early warning flood prevention platform and method based on digital twinning, and relates to the technical field of disaster early warning flood prevention. The main scheme is as follows: a sensor is utilized to collect various data of a water conservancy scenic spot, and then water level, water velocity, rainfall, geology and facility availability indexes are calculated respectively; a digital twinborn model is constructed based on three-dimensional modeling software through the indexes, comprehensive environment data indexes are simulated and calculated, data indexes in a future period of time can be input to simulate future conditions, finally, a disaster early warning threshold value is set, the future comprehensive environment data indexes are compared with the disaster early warning threshold value, and whether early warning is triggered or not is judged. And if so, generating and issuing early warning information.

The invention discloses a multi-dimensional situation deduction method for flood disaster prevention in a closed or semi-closed space. The method comprises the following steps: S1, collecting and acquiring geographical and building data and hydrological and meteorological data related to a specified underground space; s2, creating a 3D digital model of the specified underground space according to geographical and building data; s3, scene simulation is carried out in the specified 3D digital model according to the hydrological and meteorological data, a fluid dynamic model is established, the mutual influence relation between the specified underground space and the flood factors is analyzed according to the fluid dynamic model, and the associated characteristics of flood disaster occurrence of the specified underground space in the time sequence are calculated according to the mutual influence relation. And different prevention and treatment schemes are implemented according to the associated characteristics. According to the invention, multi-dimensional simulation and analysis are carried out according to different rainfall scenes, flood risks under different conditions can be evaluated, high-risk areas can be identified more accurately, and specific prevention and control schemes are provided according to different scenes.

The invention discloses a river flood early warning device, which relates to the technical field of flood prevention early warning equipment and comprises an L-shaped mounting plate, a waterproof box, a horizontal mounting plate, a mounting frame, a guardrail, a vertical mounting plate, a warning lamp, a flow velocity monitoring fan, a water level monitoring mechanism, a transmission mechanism and an alarm mechanism. The early warning device is driven by a second sliding mechanism to work, the two flow velocity monitoring fans are driven by a first sliding mechanism to slide, the vertical mounting plate is driven by the second sliding mechanism to slide, the second sliding mechanism is driven by a transmission mechanism to work, and the multiple protection fences are driven by a third sliding mechanism to slide. The water level monitoring mechanism can carry out monitoring and early warning on the river water level in real time, the alarming mechanism can effectively carry out monitoring and alarming on the water flow speed, the guardrail can slide in a reciprocating mode under driving of the third sliding mechanism, and when the water level rises, the guardrail is lifted up, and the protection effect can be effectively achieved.

The invention discloses a daily runoff prediction method and system based on GWO-VMD feature reconstruction and a mixed deep learning model, a storage medium and electronic equipment. VMD parameters are optimized through a GWO algorithm, an original runoff sequence is decomposed, and multi-scale features are fused; high-precision prediction is realized by combining the local feature extraction capability of a Mamba2 model and the global time sequence modeling advantage of Transform; and the prediction error is further corrected by using the CNN. The method solves the problem that a traditional model is poor in adaptability to non-stable and non-linear data, and has remarkable application value in flood control and disaster reduction and water resource scheduling.

Provided herein are embodiments of a flood prevention system. The flood prevention system may include a water line, a sewer line, and at least one floating switch sensor. The water line and sewer line may be connected to a plumbing fixture. The floating switch sensor may be installed within the sewer line and be connected to a solenoid valve.

The present invention discloses an urban underground comprehensive pipe gallery with flood prevention function, which belongs to the field of underground structure technology, including a plurality of water storage units and a plurality of drainage units, the water storage units and the drainage units are alternately arranged, and a silt removal mechanism is arranged in the water storage unit; the water storage unit includes a water storage pipe gallery, and the silt removal mechanism is arranged in the water storage pipe gallery, and the water storage pipe gallery includes a plurality of functional pipe gallery culverts arranged in sequence; the drainage unit includes a drainage pipe gallery culvert, and a drainage pipe and a water outlet pipe are arranged on the top of the drainage pipe gallery culvert. The above-mentioned urban underground comprehensive pipe gallery with flood prevention function is adopted, and the cavity structure of the functional pipe gallery culvert body is used to store water, which does not occupy extra space, has a small construction amount, and is low in size, has a large water storage capacity, has a sewage cleaning function, and reduces the number of maintenance times.

The invention discloses a monitoring device, system and method for a flood prevention and drainage tunnel of a tailings pond, and relates to the technical field of safety monitoring and disaster prevention and control of mine tailings ponds.The monitoring device comprises a sensor monitoring module, a data receiving module, a data processing module and a data processing module, the system comprises a data receiving module used for receiving resistivity and acoustic emission data of a flood prevention and drainage tunnel, a signal storage and emission module used for collecting the resistivity and acoustic emission data, and a computer which is connected with the data receiving module, is placed above a flood prevention and drainage tunnel portal, can store the data and transmits signals to a monitoring center through wireless emission. The data are stored in a computer memory of a monitoring center; according to the monitoring device, system and method for the tailing pond flood prevention and drainage tunnel, continuous monitoring of the change process of internal damage of tunnel concrete is achieved, and the problem that quantitative diagnosis cannot be achieved through an existing method is effectively solved.

The invention discloses a drainage equipment scheduling method and device, a storage medium and a program product. The method comprises the steps of obtaining environment data of an area where a transformer substation is located; performing fusion processing on the environment data to obtain a fusion feature vector which is used for representing the environment change condition of the region; on the basis of the fusion feature vector, water level information corresponding to the area at at least one future moment is obtained through prediction, and the water level information is used for representing the water volume of accumulated water in the area; on the basis of the water level information, scheduling information of at least one drainage device in the area is determined, and the scheduling information is used for representing that the drainage device is in an open state or a closed state; and scheduling the at least one drainage device according to the scheduling information so as to discharge the accumulated water from the area by using the scheduled drainage device. The technical problem that the anti-waterlogging efficiency of the transformer substation is poor is solved.

The utility model belongs to the technical field of flood prevention equipment, and particularly relates to a municipal water conservancy flood prevention device which comprises a flood prevention plate and a supporting frame arranged on the surface of the flood prevention plate and further comprises a moving assembly arranged on the surface of the flood prevention plate. The moving assembly comprises a fixing block, a rotating rod, a side gear, a first transmission gear, a first transmission rod, a first straight gear and a first toothed plate, the fixing block is installed on the surface of the flood prevention plate, the rotating rod is arranged in a first groove formed in the surface of the fixing block, and the rotating rod is rotationally connected with the fixing block through a first bearing; the side gear is fixedly connected to the surface of the rotating rod; flood prevention equipment can be rapidly transferred when flood prevention point positions need to be replaced, unnecessary economic losses caused by the fact that the flood prevention equipment is not transferred in time are prevented, and a sandbag can be stably placed on the flood prevention device to improve the flood prevention effect.

The invention discloses an urban mobile pump truck dispatching system research and development method based on a digital twinborn technology. According to the method disclosed by the invention, by integrating a third-party navigation system, real-time data acquisition, a multi-target optimal scheduling algorithm and a perfect visual emergency response mechanism, efficient and intelligent scheduling, real-time monitoring and optimal management of the urban mobile pump truck are realized, and accurate scheduling and efficient rescue of the mobile pump truck are realized; dangerous cases such as road ponding and underpass ponding are handled, the efficiency and response speed of urban drainage flood prevention are improved, urban waterlogging disasters are effectively handled, and urban safety is guaranteed.

The invention relates to a flood prevention drainage method and device based on a digital intelligent scheduling algorithm, and relates to the technical field of flood prevention drainage. A relay; the number of the relays corresponds to that of the water pumps; the touch screen all-in-one machine is used for man-machine interaction and displaying the running state of the drainage device The liquid level sensor is used for detecting the water level height in real time; a control mainboard; the control mainboard is electrically connected with the touch screen all-in-one machine, the relay, the liquid level sensor, the variable frequency driver and the current sensor; the control mainboard obtains a weather condition sent by the external equipment; the control mainboard predicts the water level change trend through a water level prediction model based on the water level height, the weather condition and the geographic features of the drainage area and generates a drainage task. And the control main board determines the working sequence of all the water pumps performing the drainage task according to the drainage flow, the energy consumption and the current operation duration of each water pump, and controls the relays of the water pumps in the working state to be in the conduction state.

The invention relates to the technical field of flood prevention, in particular to a novel flood prevention baffle for a traffic opening of a hydropower station and a using method thereof.The novel flood prevention baffle comprises a base and further comprises a protective cover fixedly connected to the surface of the base, a vertical plate and a transverse plate, the vertical plate and the transverse plate are fixedly connected to the top of the base and the top of the protective cover correspondingly, and a groove is formed in the top of the transverse plate; according to the flood prevention baffle, the bent plate can be pushed through flowing of a large amount of rainwater, the baffle body is turned over so that the baffle body can block the large amount of rainwater, meanwhile, the height of the flood prevention baffle can be increased according to rising of the water level, and therefore the safety of the flood prevention baffle in use is improved; and a water draining groove in the top of the water filtering plate can be cleaned, so that the water draining speed is guaranteed, the water level rising speed is slowed down, and the problems that when part of flood prevention baffles are used at present, workers need to assemble the flood prevention baffles, time and labor are wasted in the process, and the timeliness of flood prevention operation is likely to be affected are solved.

The invention discloses a rainstorm disaster intelligent early warning method and system based on risk assessment, and relates to the technical field of rainstorm early warning, and the method comprises the steps: 1, data collection, 2, evacuation strategy generation, and 3, linkage control and optimization. A three-dimensional digital twinborn model along the bullet train and a hydrodynamic simulation engine thereof are utilized to trace an accumulated water confluence path and a water inlet source, assess an evacuation channel blocking risk, generate and issue a real-time optimal personnel personalized evacuation path and an emergency guide instruction, and perform linkage adjustment on a running mode of the bullet train along the bullet train and operation of flood prevention equipment. And the evacuation efficiency is evaluated and subsequent strategies are optimized, so that the problems of inaccurate plugging risk research and judgment and lack of personalized evacuation and closed-loop optimization in the prior art are solved, and the rainstorm disaster early warning and emergency disposal capabilities of each station along the bullet train are effectively improved.

The invention discloses a three-dimensional quantitative dynamic checking method for the flood prevention capacity of a transformer substation based on digital twinning and multi-source coupling, and belongs to the technical field of assessment and checking of the flood prevention capacity of the transformer substation. Multi-source data such as high-resolution satellite remote sensing, unmanned aerial vehicle laser radar, GIS spatial analysis and hydrological monitoring are integrated, a transformer substation digital twin and distributed hydrological-hydrodynamic coupling model is constructed, and a disaster-causing mechanism three-dimensional quantitative index system covering danger, exposure and vulnerability is established. According to the technical scheme, a full-process technical closed loop of data acquisition, model simulation, quantitative checking, three-dimensional visualization and dynamic early warning is realized, different scenes such as regions lacking data and transformed substations are adapted, the flood prevention capability level, weak point distribution and flood risk evolution situation of the substations are accurately output, and scientific support is provided for flood prevention transformation design and emergency disposal.

The invention discloses an intelligent water conservancy flood prevention and water retaining monitoring and early warning method and system, and belongs to the technical field of water conservancy, and the method comprises the steps: obtaining hydro meteorological data and video image data in real time, and carrying out the data preprocessing; processing the preprocessed hydro meteorological data and video image data through a water level prediction model constructed based on a long short-term memory network to obtain water level prediction data representing a future water level change trend; performing conjoint analysis on the water level real-time data and the water level prediction data through a machine learning algorithm, and identifying water level abnormal fluctuation characteristics; and processing the water level abnormal fluctuation characteristics based on a preset multi-level early warning threshold judgment rule, and generating early warning information of a corresponding level. According to the technical scheme, the technical means of multi-source heterogeneous data, deep learning water level prediction, machine learning anomaly recognition, multi-level early warning and the like are creatively fused, the technical bottleneck of traditional water conservancy flood prevention monitoring and early warning is broken through, and powerful technical support is provided for flood disaster prevention.

The present invention discloses a basin flood risk assessment method and system based on a particle recognition algorithm, and belongs to the field of flood warning technology. Although the existing scheme can measure the real-time flow of the river, it does not involve how to deduce and evaluate the flood inundation situation, resulting in the inability to quickly know the flood inundation situation around the river bank. The basin flood risk assessment method based on a particle recognition algorithm of the present invention, by constructing a basin spatial discrete model, a flow velocity calculation model, a flow simulation model, a two-dimensional hydrodynamic model, and a flood risk assessment model, can not only calculate the cross-sectional flow of the basin, but also deduce and evaluate the flood inundation situation, so that the flood inundation risk and inundation data around the water area can be quickly known, so as to meet the needs of basin flood risk analysis, improve the accuracy of flood disaster warning, and provide more data supplement and management basis for basin flood control.

The invention discloses a water conservancy flood prevention scheduling method and system, a storage medium and a program product, and relates to the field of data processing systems specially suitable for the prediction purpose, and the method comprises the steps: obtaining dynamic social data; the dynamic social data comprises media data and mobile phone signaling data; identifying the media data to obtain semantic features or visual features so as to position a plurality of real-time water accumulation points; generating real-time waterlogging distribution information according to the feature information of the plurality of real-time water accumulation points; determining real-time population thermodynamic information according to the mobile phone signaling data; generating a comprehensive risk assessment result representing the safety risk levels of people in different areas in the downstream city; and optimizing the comprehensive risk assessment result by taking minimization of the personnel safety risk of the high-risk area as a decision-making target, and generating or adjusting a flood prevention scheduling instruction to control the discharge flow or flood storage capacity of the upstream water conservancy facility. By implementing the application, the scheduling decision of the upstream water conservancy facility can be optimized, and the accuracy of the flood prevention scheduling strategy is ensured.