417 results about "Flood prevention" patented technology

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 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 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 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 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 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.

The invention discloses an anti-waterlogging early warning device for a transformer substation, which relates to the technical field of flood prevention equipment and comprises a base plate and a vertical shell fixed on the base plate. The support is installed on the vertical shell and used for supporting a monitoring assembly; the water level monitoring module comprises an ultrasonic water level gauge assembled on the vertical shell through a bracket; the data collector and the wireless communication module are assembled on the vertical shell through a mounting shell, and the wireless communication module is used for transmitting monitoring data; and the power supply module comprises a solar photovoltaic panel and a power supply box which are arranged on the vertical shell and are adjustable in angle. According to the anti-waterlogging early warning device for the transformer substation, the problem that key components of an existing anti-waterlogging early warning device are prone to being damaged by external force to cause failure of the device in severe snow and hail weather is solved.

The invention belongs to the technical field of monitoring, and particularly provides a multi-objective optimization simulation water conservancy flood prevention monitoring method, which comprises the following steps: collecting real-time water flow data through a high-density sensor network, calibrating original signals collected by different monitoring points by adopting a time synchronization mechanism, and obtaining a water flow sequence under the same timestamp; according to the water flow sequence under the same timestamp, noise and deviation are processed through a Kalman filtering algorithm, heterogeneous data of the upstream monitoring point and heterogeneous data of the downstream monitoring point are fused, and a smoothed multi-source fusion water flow value is obtained; if the smoothed multi-source fusion water flow value exceeds a preset threshold value, triggering spatial interpolation calculation, and correcting a time-space difference in combination with a terrain model to obtain an overall water flow distribution diagram of the river reach; extracting peak region features from the overall water flow distribution diagram of the river reach; the invention aims to solve the problem that river water flow monitoring and flood risk prediction cannot be performed in the prior art.

The utility model discloses a supporting device for flood prevention water pump machining, which belongs to the technical field of water pump machining and comprises a machining table, and a fixing groove is formed in the top of the machining table. The machining plate slides in the inner cavity of the fixing groove, the magnetic attraction assemblies are arranged at the two ends of the machining plate and can magnetically attract and fix the use position of the machining plate after moving, and the two clamping assemblies for clamping and positioning the water pump are arranged at the top of the machining plate; a user can loosen the other clamping assembly through the driving assembly, take down the machined water pump and place the next to-be-machined water pump on the clamping assembly, and after the previous water pump is machined, the user can transversely move the machining plate to take down the previous water pump and place the to-be-machined water pump on the clamping assembly. And the circulation is repeated, so that the machining gap time in the process of clamping and taking down the water pump can be avoided, and the machining efficiency of the water pump is effectively improved.

The invention discloses a Yangtze River water level prediction method of a hybrid model, belongs to the technical field of water level prediction, and aims to solve the problems of difficult nonlinear characteristic modeling, high calculation complexity, insufficient long sequence dependency relationship capture and the like in Yangtze River water level prediction. According to the method, data of six water level stations including Zhonghuanggui, Yichang, Baishaobrain, Laolinggui, two Chen kou and yao port in Yangtze River are taken as input, and missing values are filled by adopting a similarity-based method; the DSC module is used for learning the independent dependency relationship and spatial characteristics of each water level station; modeling a dynamic dependency relationship of the water level station along with time change by utilizing a GRU module; and finally outputting a Yangtze River water level prediction result. According to the method, the water level prediction precision is remarkably improved, and reliable support is provided for flood control and disaster reduction, water resource management and shipping scheduling; the method has the advantages of high prediction precision, high calculation efficiency, wide application range and the like, can effectively cope with challenges of extreme weather and climate changes on water level prediction, and makes contributions to guarantee of life and property safety of people in a drainage basin and economic and social development.

The invention provides a Chicago rain pattern comprehensive rain peak coefficient calculation method based on geometric morphology of a rainstorm process, and aims to provide a theoretical basis and a calculation method system for Chicago rain pattern analysis in urban outdoor drainage design. According to the method, a comprehensive rain peak position coefficient of different rainfall durations is calculated by statistically analyzing a rain peak position coefficient of the rainfall durations and combining the same-frequency characteristics of the Chicago rain pattern, so that a traditional calculation method based on the early-stage influence rainfall and the rainfall duration weight is optimized. The method not only improves the efficiency of rainwater design work, but also adapts to the trend of improvement of urban drainage waterlogging prevention standards, and has important practical value and theoretical significance.

The embodiment of the invention discloses a flood prevention emergency plan generation method and device based on large model hybrid retrieval enhancement. A specific embodiment of the method comprises the steps of establishing a flood prevention knowledge graph based on multi-source heterogeneous data in the flood prevention emergency field; performing community division on the flood prevention knowledge graph to obtain a flood prevention subject tree knowledge base; in response to the received user plan request information, determining plan request constraint information; retrieving corresponding knowledge fragments from the flood prevention subject tree knowledge base to obtain a knowledge fragment information set; reordering the knowledge fragment information set to construct a flood prevention context; and based on the flood prevention context, utilizing a preset structured prompt template to guide the large model to generate a flood prevention emergency plan, and sending the flood prevention emergency plan to a flood prevention emergency client for flood prevention emergency control. According to the embodiment, the pre-arranged plan containing the technical measures and the resource allocation scheme can be quickly generated, commanders are assisted to make decisions, the dangerous case disposal efficiency is effectively improved, and losses caused by flood disasters are reduced.

The utility model discloses an outdoor heat dissipation breathable rainproof device, relates to the field of outdoor motor protection equipment, and can solve the problems that an existing motor heat dissipation waterproof device is poor in heat circulation, not ideal in heat dissipation effect, poor in waterproof performance and prone to being invaded by rainwater. The drainage groove and the multiple splash-proof structures are arranged in the splash-proof groove of the protection component, and meanwhile the first heat dissipation holes are formed in the splash-proof structures, so that air circulation is effectively enhanced. The design of the drainage groove ensures that water flow can be drained in time, the influence of accumulated water on heat dissipation is avoided, and therefore the heat dissipation performance is improved, the protective cover body adopts the structural design that an inclined frame body and a rectangular frame body are combined, an air circulation channel is further optimized, the heat dissipation efficiency is improved, the flood prevention inner weir is 1 mm higher than second heat dissipation holes, and the heat dissipation efficiency is improved. And the waterproofness is further enhanced. The design of the inner weir effectively prevents rainwater from entering the heat dissipation holes, and ensures that the equipment is not influenced by the rainwater.

The invention discloses a subway station flood prevention fence rapid installation device, and belongs to the technical field of flood prevention fence installation, the subway station flood prevention fence rapid installation device comprises a channel, two sides of the channel are fixedly connected with cylinders respectively, each cylinder is slidably connected with a baffle plate, the side wall of the channel is provided with a supporting plate, the supporting plate is used for supporting the baffle plate, and the bottom of the baffle plate is fixedly connected with a sealing rubber plate. Side plates are arranged on the lower portions of the side faces of the baffles, the side plates are rotationally connected with supporting blocks, the supporting blocks are provided with through holes, and a limiting telescopic rod can be inserted between the through holes of the two supporting blocks. The round rod is inserted into the inserting hole formed in the side wall of the channel, the two baffles are in bolting connection, the two baffles rapidly form a whole, after the two split baffles are combined to form the water retaining structure, the water retaining strength can be guaranteed, and the defect that electric control is needed in the prior art is overcome.

The invention relates to the technical field of building materials, in particular to a solid-waste-based Yellow River sediment cementing material and a preparation method of an artificial flood prevention preparation stone. The solid waste-based Yellow River sediment cementing material is prepared from the following raw materials in parts by weight: 300 to 500 parts of Yellow River sediment, 80 to 130 parts of furnace slag ash, 40 to 80 parts of steel slag, 20 to 50 parts of alunite tailings, 25 to 55 parts of mirabilite gypsum, 0.5 to 1.5 parts of crack self-repairing material and 1 to 3 parts of workability regulator. The artificial flood prevention prepared stone prepared by the method has excellent mechanical properties and erosion resistance, can reduce carbon emission and improve the ecological property, and realizes resource utilization of the Yellow River silt.

The present invention provides a carrier, which includes a channel for accommodating a test strip. One end of the channel is closed and the other end has an opening, and the fluid sample to be detected can enter the channel through the opening. Wherein, a flood prevention structure is included in the channel. By changing the channel in the carrier structure, the flood phenomenon of the test strip can be prevented and the error rate can be reduced.

The utility model belongs to the technical field of flood prevention equipment, and discloses a foldable storage flood prevention soft water bag which comprises a water bag body, one end of the water bag body is in threaded connection with a sealing cover, a plurality of pull rings are arranged on the outer surface of the water bag body in a mirror image array mode, and a piece of bearing cloth is arranged on each pull ring. The water bag, the sealing cover, the pull ring and the load-bearing cloth are matched to quickly prevent the flood, water taking is easy due to the fact that the water amount in the flood season is large and wide, the water bag can be filled with water after the sealing cover is taken down, then the sealing cover is sealed, the load-bearing cloth is pressed by counter weights such as stones after the water bag is placed at the flood prevention position, and the flood prevention effect is achieved. When the water bag is used for the flood prevention opening, the water bag is placed in the opening, and if the length of the opening is smaller than that of the water bag, one end of the water bag can be folded, so that the water bag can be suitable for the openings of different sizes, and the device is high in adaptability.