764 results about "Flood prevention" patented technology

The washing machine flood prevention system provides an interruptible power supply to a washing machine. In the event of potential flooding by the washing machine, power to the washing machine is interrupted and an alarm is delivered to the user. The washing machine flood prevention system includes a control box housing a control circuit. The control circuit includes at least one alarm and a power outlet adapted for receiving the electrical plug of the washing machine. A water level sensor, such as a float switch, is in communication with the control circuit. A ground fault circuit interrupter is in electrical communication with the control circuit. The ground fault circuit interrupter provides interruptible electrical power to the control circuit and the washing machine. The electrical power is interrupted if a control signal is generated by the water level sensor responsive to a flood.

The invention discloses a construction method of a flat shoal flow prediction model based on joint control of upstream-downstream borders over a lower reach. The construction method specifically comprises the steps of adopting a one-dimensional hydrodynamic model to calculate and study a water level-flow relation curve of each fixed section in the reach; determining flat shoal flow in each section according to flat shoal elevation in each fixed section; adopting a method based on the combination of geometric average of logarithmic transformation and weighted average of section spacing to calculate the flat shoal flow of reach dimension; analyzing a response relationship of the flat shoal flow adjustment on an upstream water-sediment condition and downstream water level change, and constructing the prediction model based on joint control of the upstream-downstream borders over the lower reach. According to the construction method of the flat shoal flow prediction model based on joint control of the upstream-downstream borders over the lower reach, the calculated and obtained flat shoal flow of reach dimension is capable of better describing the flow passing capacity of the whole reach, and thus the flat shoal flow is more representative; the constructed flat shoal flow prediction model is capable of well reflecting the variation trend of the flat shoal flow along with the upstream water-sediment condition when the downstream water level changes sharply, and thus the constructed flat shoal flow prediction model has a guidance significance in the flood prevention and riverway management.

The invention discloses a method for calculating dynamic water storage capacity runoff yield in soil freeze-thaw process, and belongs to a hydrological science category in geophysical science categories. The method comprises the following steps of: calculating frozen soil depths at different times in grids of a watershed according to soil temperature distribution; analyzing day-by-day spatial distribution conditions of the frozen soil depths so as to obtain field capacities, distributed along with time, of aeration zones in different grids of the watershed; finding out the maximum field capacities in different grids of the watershed, and calculating the maximum water-holding capacity of the watershed; and calculating a soil freeze-thaw runoff yield of the watershed according to the obtained maximum field capacities in different grids and the maximum water holding capacity of the watershed. According to the method disclosed by the invention, the day-by-day soil freeze/thaw, frozen soil depths and soil temperatures can be simulated according to observed air temperatures, and the day-by-day process of thaw/rainfall runoff can be calculated according to rainfall observation, so that the runoff simulation precision in soil thaw periods in spring is improved, scientific basis is provided for the spring flood prevention decisions, and the gap of frozen soil area runoff yield calculation in the existing home and aboard hydrological models is filled.

The invention provides a method for calculating the riverway cross-section flow measured by a non-contact radar. On a riverway cross-section on which a radar probe measurement point is located, cross-section measurement is carried out at a certain distance interval, based on the measured cross-section data, the cross-section polynomial curve fitting is carried out, and the riverway cross-section water surface slope is calculated by combining with a hydraulics manning formula according to the position of a probe, the actually-measured water level, the surface flow velocity and the bed roughness, then based on a hydraulics natural riverway flow calculation principle, a certain number of vertical lines are chosen to divide the riverway cross-section evenly, the depth of water of the verticallines and the corresponding vertical line flow velocity are calculated in sequence, and then virtual vertical lines are made in interval midpoint of each vertical line, a plurality of virtual verticallines and cross-section fitted curves and a riverway water line form a plurality of irregular polygons, the area of each polygon is calculated in sequence, and finally, a weighted area method is usedfor calculating the flow of a riverway large section. The method for calculating the riverway cross-section flow measured by the non-contact radar has important practical value for the popularizationof online flow measurement technology and the high real-time flow monitoring of flood prevention.

The invention discloses an urban flood prevention decision support system based on a big data technique. The urban flood prevention decision support system comprises steps as follows: S1, establishment of a historical water regimen database; S2, acquisition and storage of real-time water regimen data; S3, establishment of a combined water level prediction model; S4, real-time water regimen display and water level prediction; S5, statistical analysis of historical water regimen data. The system has the benefits as follows: the water level in 1-6 hours can be effectively predicted, so that decision support is provided for flood control and disaster reduction work when the urban flood season approaches. The system adopts a distributed database HBase and can effectively store mass water regimen data and cope with rapid growth of data, besides, a big data analysis engine Impala is used for real-time processing and analysis on mass historical water regimen data, intrinsic value of the historical data is explored with a data visualization technology and information guidance is provided for flood prevention work.

The invention provides a method for setting a city initial rainwater interception standard. The city overflow pollution event reduction efficiency and the rainfall pollution reduction efficiency are counted, and high-efficiency areas of the city overflow pollution event reduction efficiency and the rainfall pollution reduction efficiency are found; and required initial rainwater interception rainfall is obtained and enabled to meet requirements of the high-efficiency areas, the flood prevention standard and the water environmental capacity. According to the city initial rainwater interception standard set with the method, initial rainwater with higher pollutant concentration can be intercepted effectively, so that pollution loads of rainfall runoffs to the water environment are substantially reduced.

The invention discloses a complex step reservoir group water storage period optimized scheduling method which comprises the steps of S1, collecting basic information of a river basin; S2, dividing a complex step reservoir group into a plurality of sub-river-basin areas, and respectively calculating an after flood season of each sub-river-basin area; S3, estimating a probability that the flow of a branch flood prevention node exceeds a safe flow in each sub-river-basin area, and demonstrating feasibility of seasonal flood end water storage scheduling optimization by means of the probability; S4, constructing a multi-target water storage scheduling optimization model; S5, solving the multi-target water storage scheduling optimization model by means of a Pareto dynamic dimension searching method, and obtaining a certainty optimization scheduling result of a seasonal flood end water storage period; S6, extracting an optimization scheduling rule of the seasonal flood end water storage period by means of a large system polymerization/decomposition model; and S7, performing flood prevention safety examination on the optimization scheduling rule through using river basin designed flood as an input. The complex step reservoir group water storage period optimized scheduling method is a new method for complex step reservoir seasonal flood end water storage period optimized scheduling under a precondition that a flood prevention standard of the basin is not reduced.

The flood prevention device includes a plurality of barrier walls interconnected around a structure or area to be protected. Each barrier wall includes a base sand tube adapted to be filled with sand. At least one gill tube may be stacked atop the sand tube and stitched together to form a wall of desired height. Each gill tube includes a plurality of reinforced gills adapted to permit water flow to fill the gill tube. A hanging tube is operatively disposed above each wall. A pulley mooring system may be disposed on the sides of the structure with one end operatively attached to interlocking poles disposed in the hanging tubes. Opposing sides of each barrier wall include interlocks that may be selectively attached to a locking corner track or a locking extender track to form the overall barrier. Once assembled, the flood prevention device may be lifted or rapidly deployed by the pulley mooring system.

The invention relates to a structuring method of a self-adaptive drainage basin medium-long-term runoff forecasting model. The structuring method includes steps of classifying a forecasting runoff tobe different sub-streams according to the forecasted drainage basin feature to forecast in different basins; building forecasting factor sets of different sub-streams; applying a gathered forecastingmethod to every sub-stream; adjusting different model parameters in the forecasting method by the self-adaptive method; applying a riverway calculation method to the forecasting result of the sub-stream to obtain the final drainage basin forecasting value; periodically testing the certainty coefficient of the forecasting result to judge if the forecasting factor and the formation of the forecasting method are required to update. The runoff forecasting result acquired through the method can provide a reliable basis for the forecasting of urban flood prevention or inflow of large reservoirs.

The invention provides a water quality safety early warning decision making system. The system is a full-process complete system formed by an on-line monitoring base station layer, a server layer and a water quality safety early warning platform layer. On the basis of the on-line monitoring base station, the server layer serves as a support, and a water quality safety early warning platform serves as a core. The on-line monitoring base station comprises a water inlet unit, a water quality on-line monitoring unit, a pump station operation monitoring unit, an automatic control unit and a remote transmission unit. The water quality safety early warning platform comprises the eight service modules of station measuring information management, water quality data management, statistics and analysis management, operation alarm management, water quality safety early warning and information issuing management. The system can achieve the multiple functions of pipeline running water quality and amount on-line monitoring, remote transmission, data storing, real-time issuing, water quality early warning and remote decision making in rainfall events of a drainage system. Supports can be provided for optimization operation of a city drainage pump station, and decision making bases can be provided for a win-win scheduling model of flood prevention safety and water quality safety of the drainage system.

A floor drain assembly with integrated flood prevention, comprising a unitary construction which may be retrofitted into existing floor drain plumbing without modification to the plumbing or surrounding floor. The floor drain assembly comprises an integrated check valve, which under normal circumstances remains open, allowing spilled or poured liquids to drain through the assembly into the sewer plumbing. In an event such as storm flooding or sewage water back up, the water level within the pipe will exert buoyant force upon the check valve, causing it bias against a sealing means, thereby preventing liquid and sewage waste from rising up through the pipe opening and entering a building, causing flooding.

The invention relates to a river channel water and sediment real-time prediction method based on data assimilation, and belongs to the technical field of water conservancy projects. The method includes the steps of firstly, collecting topographic data of a water channel to be predicated, upstream boundary condition data, downstream boundary condition data and fracture surface data of the river channel, setting up a one-dimensional non-steady-flow and non-balance sediment transport model, and solving the model; secondly, conducting water and sediment model assimilation on real-time observation data while receiving the real-time observation data, and enabling the assimilation value to serve as an initial field for calculation; thirdly, calculating the changes of the future water level, the further flow and the future sediment concentration according to information of the initial field and the boundary condition data. According to the method, the water level and flow speed prediction function, the flood forecast function and other functions are achieved on the basis of data such as the assimilation real-time water level, the flow speed and the sediment concentration, and the method has the advantages of being strong in pertinency, comprehensive in function, convenient to use, practical and the like, can be applied to river channel flood real-time forecasting of great rivers, and provides the decision-making support for the practical flood prevention command work.

The invention discloses a rainfall observation method integrating satellite remote sensing and mobile communication base station signals, which comprises the following steps of: for each microwave link in a target area, respectively establishing the connection between rain attenuation and rain intensity by adopting different rain attenuation and rain intensity models, and deducing the corresponding link rainfall intensity; dividing grids for the target area, and deducing the regional rainfall capacity under different rain attenuation and rain intensity models in the historical period; optimizing a rain attenuation and rain intensity model through large-scale observation data in a historical period of satellite remote sensing; and observing real-time rain intensity information with high spatial resolution based on real-time dynamic rain attenuation data of the mobile communication base station by adopting the optimized rain attenuation and rain intensity model. The method gives full play to the advantages of a satellite remote sensing rainfall observation technology and a microwave link real-time rainfall intensity observation technology, provides a real-time, dynamic and high-precision rainfall observation mode, and can provide important and highly operable reference basis for flood prevention and disaster reduction and drainage basin planning.

The invention relates to a hydraulic automatic lifting flood control wall, which is arranged side by side along the inner side of a river embankment, and includes a driving device, a locking mechanism, a column, a base, and a baffle. The side of the column is provided with a chute corresponding to the baffle; the inner cavity of the base is provided with a driving device corresponding to the baffle, and the driving device includes a water wheel and a pulley block, and the water wheel drives the baffle to move up and down along the chute through the pulley block ;A liftable baffle is set up. The baffle is hidden in the base of the flood control wall during non-flood season. When the flood arrives and reaches a certain water level, the flood control baffle will automatically rise under the action of the traction force of the waterwheel. After the baffle rises to the upper part of the column, The bayonet on the top of the baffle is docked with the locking mechanism on the column to form a fixed connection relationship, and the baffle is used to block the flood and complete the flood control task.

The invention provides an urban accumulated water prediction and safety early warning system based on a flood drainage model. The urban accumulated water prediction and safety early warning system combines the flood drainage model, weather forecast, an accumulated water on-line monitoring system and a decision support system, and achieves support for urban accumulated water prediction and safety early warning. The urban accumulated water prediction and safety early warning system comprises the following steps: (1) combining a pipe network model with a production and confluence model to construct a flood drainage model; (2) depending on a flood drainage model, performing multi-scenario rainfall simulation and warehousing; (3) collecting and reporting real-time rain condition data; (4) calling a multi-scene rainfall bank; and (5) carrying out online prediction and safety early warning on road ponding. The urban accumulated water prediction and safety early warning system based on a flooddrainage model can effectively, accurately and dynamically forecast the flood prevention and drainage conditions of urban ponding-prone points in real time, and can facilitate decision support of a management department.

The invention discloses an intelligent lighting control system employing Internet of things for an intelligent city. The intelligent lighting control system comprises an intelligent lighting street lamp, wherein the intelligent lighting street lamp is provided with an environment monitoring system, an image collection system, a lighting system, an information broadcast system, an intelligent charging system, a main control system, a wireless communication system and a micro-base station; the environment monitoring system, the image collection system, the lighting system, the information broadcast system and the intelligent charging system are connected with the main control system; the main control system is connected to a cloud platform through the wireless communication system or the micro-base station; the cloud platform is connected to an intelligent measurement and control terminal server and a data storage server through a 3G or GPRS network; and the intelligent measurement and control terminal server and the data storage server are connected to a public client and a dedicated client through the Internet of things. According to the intelligent lighting control system, relevant information is transmitted to relevant departments; urban departments can conveniently know the information in real time and issue the information of flood prevention, early warning and the like; the intelligent control degree is high; and a highly-centralized intelligent management control system is achieved.

The invention relates to an alarm system for disaster and flood prevention, which comprises: a sensing device for monitoring disaster situation information and converting the information into electric signals; a field controller for receiving the electric signals from the sensing device and sending out alarm commands; an alarm device for receiving the alarm commands and giving an alarm; a central controller for remotely controlling the field controller; and a power supply for supplying electric power for the sensing device, the field controller, the alarm device and the central controller. The alarm system can effectively alarm and forewarn flood disaster situation, and can achieve field and remote centralized control.

The invention relates to a flood prevention dispatching decision support system, which comprises an on-line model server, a database, a data interface and a WEB application server, wherein the on-line model server is used for receiving hydrologic remote measurement data, and performing flood prediction simulation according to the hydrologic remote measurement data; the database is connected with each piece of hydrologic remote measurement equipment, and is used for storing hydrologic remote measurement data collected by the hydrologic remote measurement equipment; and the data interface and the WEB application server are respectively connected with the database and the on-line model server, are used for pushing the hydrologic remote measurement data in the database to the on-line model server, receiving the prediction simulation result and issuing the prediction simulation result to a remote network terminal. Compared with the prior art, the flood prevention dispatching decision support system has the advantages that the on-line model server performs flood prediction simulation according to the hydrologic remote measurement data; the outward issuing of the prediction result is realized through the data interface and the WEB application server; the rainfall water accumulation condition is simulated in real time according to the rainfall condition; the water accumulation point positions, the water accumulation depth and the water subsiding time are predicted; and the decision support is provided for water discharge emergency rescue and pump station optimization operation.

The invention relates to a dynamic operation water level control method for a 3D or higher cascaded reservoirs in flood season. The method comprises the steps that 1) the relation of upper pre-impounded water level limits among the 3D or higher cascaded reservoirs is analyzed on the basis of an aggregation-decomposition theory and a pre-impounding pre-discharge method; 2) an optimized scheduling module which takes the minimal flood prevention risk rate, the minimal under-generation risk rate and the minimal under-impounding risk rate in the effective forecast period of a flood forecast as target functions, the operation water level in the flood season as a decision variable, and a manual fish swarm algorithm as an optimized solution algorithm is established, a non-inferior solution set is provided for dynamic operation water level control in the flood season, and a decision scheme set is provided for a multi-target decision module; and 3) the multi-target decision module which takes the minimal flood prevention risk rate, the minimal under-generation risk rate, the minimal under-impounding risk rate, the maximal generation capacity and the maximal impounding rate as evaluation indexes and a network analysis method as a multi-target evaluation method is established, and a preferable decision scheme of the dynamic operation water level control in the flood season is selected. Thus, theoretical basis and technical support are provided for scientifically making a combined dynamic operation water level control scheme for the cascaded reservoirs in the flood season.

The invention discloses a combined model water level prediction method based on similarity search. Water level of previous days related to a day to be predicted is confirmed to be sequences to be matched by utilizing correlation coefficient. A series of water level time sequences which are not similar to the sequences to be matched are searched from historical data on the basis of similarity search and eliminated from original time sequences and then act as training sets of a prediction model. The method mainly comprises data preprocessing, similarity search and a combined prediction model. Data preprocessing aims at filling gap data and restoring error data. According to similarity search, a series of time sequences which are not similar to the sequences to be matched are eliminated from the historical data of previous years by utilizing dynamic bending distance and the fixed slide window technology. The combined prediction model has two basic models: a BP neural network improved by an LM algorithm and a support vector machine, and proportion of the basic models in current prediction is dynamically adjusted by utilizing the Bayes theorem according to prediction performance of each basic model at the previous moment. The high-precision and real-time requirements required by flood prevention and disaster resistance can be realized.

The invention relates to a novel modeling and controlling method of a drain pipe network hydraulics system. The conventional computation method is more time-consuming and not beneficial to real-time control. The novel modeling and controlling method disclosed by the invention is a method for rapidly computing the water depth of a pipeline by utilizing a transfer function model. Through the adoption of the method disclosed by the invention, the regional sewage overflow pollution is minimized on the premise of fully utilizing all water storage equipment of a system so that the urban flood-prevention and anti-waterlogging capabilities are improved; in addition, a basis is settled for the conversion from manual operation to automatic operation of a combined sewerage system; meanwhile, the situation that sewage overflow happens while residual water storage systems are idle at a specific region is avoided; and therefore the regional sewage overflow pollution is finally minimized.

The invention discloses a water-level rising early-warning method applied for an application program server. The method comprises following steps of obtaining future precipitation sent by a weather forecast information server; judging whether the future precipitation is larger than or equal to the warning precipitation; generating early-warning information if the future precipitation is larger than or equal to the warning precipitation; and sending the early-warning information to a mobile terminal and a PC. The method can be applied in technical field of urban waterlogging monitoring. By analyzing the precipitation in unique time period in the future, people can pre-judge whether there will be waterlogging disasters in the future and maintenance workers with mobile terminals and managers with PCs are allowed to obtain the early-warning information in advance, thereby leaving workers longer time to carry out flood prevention plan making work and flood prevention disposing work, and greatly extending preparation time for emergency processing of urban waterlogging. In addition, the invention also provides a water-level rising early-warning system used for realizing the water-level rising early-warning method.

The invention provides an intelligent flood prevention well lid, the well lid comprises an outer lid, an inner lid, a gear plate, a driving mechanism, a water level sensor and a control box, wherein the diameter of the inner lid is less than the same of the outer lid, the inner lid is connected with the lower surface of the outer lid through a pivot mechanism, inner drainage holes are arranged on the inner lid, outer drainage holes corresponding to the inner drainage holes are arranged on the outer lid, a oblique water check hole is arranged on the edge of the outer lid far away from the inner lid, the circumference surface of the inner lid is a gear surface, the gear plate is arranged on the side of the inner lid and is engaged with the inner lid, the driving mechanism is connected with the gear plate, the water level sensor is arranged in the water check hole, the control box is arranged on the lower surface of the inner lid, the control box is electrically connected with the driving mechanism and the water level sensor; when the water level sensor is flooded, the control box controls the driving mechanism to drive the inner lid rotating from a first position to a second position according to a sensor signal, when the inner lid is on the second position, the inner drainage holes and the outer drainage holes are matched with each other. The well lid can block the rubbish and other things and can drain according to the water yield.