61 results about "Flood warning" patented technology

The invention discloses an urban flood warning system and method based on a radial basic function neural network model. The method comprises following steps: utilizing ultrasonic rangefinders to measure water accumulation of urban roads; utilizing water level sensors to measure water level information on urban riverways; gathering related information on a same region to data acquisition terminals for preprocessing; sending preprocessed related data to a monitoring center server; and utilizing the radial basic function neural network model to forecast and warn the urban flood conditions and sending results to mobile terminals for related users by the server. Users can search for flooding conditions of relevant places by loading the server via the network. The urban flood warning system and method based on the radial basic function neural network model have following beneficial effects: water accumulation conditions of urban roads and water level changing conditions of urban riverways are automatically monitored; urban flood conditions are forecast and pre-warned; advantages such as small error, high real-time performance, low cost and accurate pre-warning information are obtained; and a good market prospect and application value are achieved.

Techniques for automatically providing flood warnings to individuals are provided. The techniques include receiving a message regarding a water level observed in connection with a totem display at a geographic area, using the message and one or more items of available data to generate a flood level prediction for the geographic area, and sending a flood warning to one or more registered individuals if the flood level prediction for the geographic area exceeds a predetermined threshold.

A flood modeling system defines virtual cells of a geographic region. Some of the cells, referred to as “channel cells,” represent areas within a channel for a moving body of water, such as a stream or river. Other cells, referred to as “land cells,” represent areas external to the channels within the geographic region. The flow of water through the geographic region is modeled as a virtual flow of water through the channel cells and the land cells. For each time step, the system calculates the amount of water that virtually flows out of one cell into adjacent cells. The water estimated to virtually flow above ground represents flood water, and the estimates of such water can be used to generate an inundation map or initiate flood warnings.

The invention relates to the technical field of water conservancy, in particular to a flood control command system, which includes a flood control embankment patrol drone, a dam information collection device, a water body information collection device, an information processing and early warning system, and a flood control command center; Transmit dam information and water body information to the flood control command center; the information processing and early warning system includes flood control information interaction device, information synthesis and analysis system, and flood early warning system; the flood control command center can grasp dam information, water body information, weather forecast and flood control deployment in real time, And according to the analysis results and flood warnings provided by the information synthesis and analysis system, timely discover, respond to and eliminate dangers, accurately issue flood control instructions, organize and command flood control work, and avoid disasters.

The present invention discloses a regional meteorological drought level prediction method coupled with multi-source data. The method is characterized in that: by space downscaling of the remote sensing precipitation data of the gridded satellite, a high-resolution regional precipitation space database is constructed, the drought levels are divided by using a standardized drought index, and based on the non-stationary Markov chain model, a meteorological drought level prediction model with time-varying transition probability is constructed. According to the method disclosed by the present invention, multi-source remote sensing information and basic underlying surface features are used to capture the spatial variability of regional precipitation, the lack of precipitation observed in traditional sites is made up for, the external coercion and precursor signals of the evolution of drought and flood of large-scale meteorological factors that can reflect the characteristics of atmospheric circulation are made full use of, and the mechanism of formation and development of drought and flood is taken into account to a certain extent, so that the dynamic evolution characteristics of meteorological and hydrological systems are more in line with, highly scientific and practicability are ensured, and a foundation can be laid for the establishment of a drought and flood warning system.

The invention discloses a flood forecasting method based on a multiple ratio algorithm, which includes: step 1, calculating the current flow value of the target small watershed; step 2, calculating the flow value in the upstream forecast period according to the actual measured grid point rainfall data; step 3, Compare the current flow value of the target small watershed with the flow value in the foreseeable period; step 4, when the flow value in the foreseeable period exceeds the current flow value of the target small watershed by more than twice the current flow value of the target small watershed, an early warning message is sent through the flood control forecasting system; it solves the problem of the prior art Mountain torrent disaster early warning is based on the monitoring of the current rainfall by the rainfall station, and it is determined whether to issue early warning information compared with the critical rainfall; because the upper reaches of many small watersheds have experienced light to moderate rain, the resulting changes in rainfall and flow are not enough to trigger the flood warning system. When the instantaneous flow rate suddenly doubled, it caused flash floods, and tourists in the river channel were not prevented enough to cause casualties and other problems.

The invention discloses an urban flood early warning system based on a radial basis function neural network model and a method thereof, including measuring urban road water accumulation by using an ultrasonic range finder, measuring urban river water level information by using a water level sensor, and collecting relevant The information is aggregated to the data collection terminal for preprocessing, and the processed relevant data is sent to the monitoring center server through the network. The server uses the radial basis function neural network model to predict and warn the urban flood situation, and sends the results to the relevant user's mobile terminal. Users can also log in to the server through the network to inquire about the flood situation in relevant places. The invention realizes automatic monitoring of urban road water accumulation and urban river water level changes, and performs prediction and early warning of urban flood conditions. It has the advantages of small error, high real-time performance, low cost, accurate early warning information, etc., and has good market prospects and Value.

The invention discloses a medium and small river basin geological disaster and flood early warning method based on critical rainfall. The method comprises the following steps: step 1, calculation of area rainfall: generally adopting an arithmetic mean method and a Thiessen polygon method. The Thiessen polygon method firstly calculates time period rainfall of each station of a river basin; and then, according to the weight of the area of the drainage basin occupied by each rainfall station, superposes the time period rainfall of each rainfall station in the drainage basin by adopting a weighting method. The method has indexes which are easy to distinguish, can accurately capture geological disaster events caused by rainstorm, heavy rain and the like in small and medium watershed areas, has good forecasting effect, has high practical application value and is worthy of popularization, has important guiding significance for currently developed hydrological monitoring and early warning of flood-prone areas of medium and small rivers and national mountain torrent disaster prevention and control pilot work, and effectively avoids the problem that the height of flood cannot be predicted in time when the existing medium and small river basins encounter flood seasons.

The invention discloses an anti-flooding early warning system for a pump room, which relates to the technical field of early warning systems. Aging and other reasons can easily lead to water leakage from the water pump and pipes, and most of the pump rooms are located on the edge of the reservoir, so there may be problems of rainwater backflow inside. The input end of the pressurized water pump assembly is connected to the output end of the pump body input pipe, and the output end of the pressurized water pump assembly is connected to the input end of the water supply transfer pipe, and the input end of the pump body input pipe and the water supply transfer pipe are connected to the The input end of the water pressure sensor is connected, and the model of the water pressure sensor is set to YSE-HSM, the output end of the water pressure sensor and the pressure bearing base of the pump set is connected to the input end of the joint control data module, and the joint control data module The output end is connected with the input end of the remote alarm of the pumping station.

The invention discloses a GPS remote sensing flood prediction method based on an artificial intelligence decision tree, comprising the following steps: S1, reading the original observation value of GPS satellite; S2, preprocessing the original observation value; S3, adopting the pseudo-range between epochs The information of the difference, the carrier phase difference and the epoch time interval generates a flood detection amount, and the flood detection amount includes a first detection amount and a second detection amount; S4, using an artificial intelligence-based decision tree algorithm to establish a sub-satellite sub-frequency flood detection model; S5, combine the first detection quantity and the second detection quantity of the GPS dual-frequency signal to detect the flood, and mark the result according to the detection threshold; S6, perform flood warning according to the detection result or update and iterate the flood detection model. The artificial intelligence-based decision tree algorithm is used to establish a high-precision flood detection model, and the correlation between the detection amount and other auxiliary characteristic parameters is deeply excavated to reduce the false detection rate and ensure the accuracy and stability of flood detection.

The invention discloses an energy-saving type flood early warning method and device for a garage. The early warning method includes the step of dormancy, wherein before the water level of the garage reaches a start water level, the early warning device is in a dormancy standby mode; the step of working, wherein when the water level of the garage reaches the start water level, a controller is activated, and the device goes into a working mode; the step of sampling, wherein after the device goes into the working mode, sampling is conducted through a water level sensor to obtain the height of the water level; the step of early warning, wherein when the value of the water level reaches a threshold value H0, a communication module is started to inform a car owner or related personnel; the step of stopping, wherein when stop conditions are met, early warning is stopped, and the device returns back to the dormancy mode. The early warning device mainly comprises a base, a digging rope, a travel switch, a floater, a digital processing chip, the communication module, a power supply for providing electric energy and the water level sensor. The dormancy mode is designed, so the device can automatically switch between the dormancy mode and the working mode; furthermore, an electronic switch can be arranged for starting and closing a related circuit module, and therefore energy consumption can be reduced to the greatest extent.

The invention discloses an automobile anti-flooding online intelligent pre-warning device. The processing device is embedded on the side of the early warning host, and the early warning host is electrically connected with the online speaker device through the signal processing device. The present invention can predict the height of the water surface when the device is installed at the same height as the chassis of the car through the provided water surface pre-sensing device. Its early warning function is installed shorter than the chassis of the car, causing the device to touch the ground and wear out when the car goes up and down the road ridge, or embedded in the lower surface of the car chassis, it cannot sense the water surface earlier than the chassis, and the early warning function Weaker problems, to achieve a real anti-flooding warning function.

The invention proposes a flood early warning analysis method and system based on Poisson regression and spatial filtering value, which includes the frequency statistics of flood early warning events based on historical observation data of hydrological stations in a certain watershed; Hazard factor data, construct a Thiessen polygon for the coordinate points of the hydrological station to obtain the space, and decompose the eigenvalues ​​and eigenvectors; in the case of satisfying the significance test of spatial autocorrelation, carry out forward selection regression, and establish a Poisson based on spatial filtering value. Loose regression model; the selected feature vectors are added to the Poisson regression model together with the disaster-causing and disaster-pregnancy factors as independent variables, and a Poisson regression model of the frequency of flood warning events based on spatial filtering values ​​is constructed to support the realization of the frequency of flood warning events. Fit predictions. The invention can solve the defect of low fitting precision in the prior art, and can be used for the risk prediction of floods and dykes and dams at each site in the whole basin.