128 results about "Rain intensity" patented technology

The invention discloses a slope deformation monitoring system applied to a power transmission and transformation project, relates to the technical field of slope deformation monitoring, realizes high-precision slope displacement calculation by fusing optical fiber voltage signals and Beidou positioning data, constructs an inclination angle prediction model by combining historical inclination angle data, and introduces residual analysis to identify a structure deviation trend. The system dynamically calculates soil stress attenuation based on pore water pressure data, generates a threshold value correction factor driven by a softening coefficient, and then adaptively adjusts a displacement acceleration early warning threshold value to realize adaptation to different geological states. A closed-loop risk identification mechanism is established by monitoring double indexes of displacement acceleration and inclination angle prediction residual error, and the method has the advantages of being timely in response, high in identification precision, low in false alarm rate and the like, and is particularly suitable for power transmission and transformation scenes with complex geological conditions and large rainfall intensity changes.

The invention relates to the technical field of strategy optimization, and discloses a regional weather prediction method and system based on a meteorological large model, and the method comprises the steps: obtaining a terrain influence weight matrix; inputting into a spatial distribution feature model, outputting an optimized spatial distribution feature set, and realizing space-time registration through Kriging interpolation to obtain a spatial distribution feature set of local weather; extracting a seasonal change trend, and executing deviation correction to obtain a deviation correction coefficient; updating the weight matrix and performing coupling calculation to generate a coupling parameter set; generating a prediction result according to the coupling parameter set, and if the precision is lower than a threshold value, generating computing resource configuration; combining the resource configuration, the updating weight matrix and the spatial feature set to carry out weather prediction to obtain a prediction result; and finally, generating a rainfall intensity distribution diagram, performing differentiation correction, and outputting a regional weather prediction result. The method can achieve the high-precision prediction of the weather in the complex region.

The invention discloses a short temporary rainfall intensity prediction and identification method based on space-time composite attention, and the method comprises the following steps: obtaining an IMERG satellite rainfall data set, and carrying out the data construction and marking of a target region; establishing a space-time composite attention network, accessing an MFGA module and a TSMA module layer by layer, and performing non-negative activation on output to ensure physical interpretability; proposing a C-DWABP loss function, performing direction asymmetrical penalty aiming at a pixel-level prediction error, and introducing a grading weight mapped according to a real rainfall intensity grade at the same time; based on the output, intensity classification is carried out through a microthresholding ordered layer, and learnable threshold stability training is set; generating a forecast product, and obtaining an hour-by-hour precipitation grid in future 1-6 hours and a corresponding intensity identification result; according to the method, the precision of short temporary rainfall intensity prediction is improved, the false alarm rate is reduced, and a heavy rainfall event is effectively identified.

The invention discloses a rainstorm ground waterlogging prediction method, device, equipment and product, and relates to the technical field of urban waterlogging prediction.The rainstorm ground waterlogging prediction method comprises the steps that ephemeris and ground observation station data are obtained, the atmospheric moisture delay amount and the high-altitude water vapor conversion factor are calculated respectively, the historical water vapor content is calculated, and the future atmospheric precipitable water amount is predicted; rainfall time distribution data are obtained through rainstorm intensity decomposition; calculating the rainwater overflow amount of the catchment area in combination with the water discharge amount time distribution data of the urban drainage pipe network; and iterative calculation is carried out by using a digital elevation model grid to obtain the waterlogging depth, and waterlogging early warning information is sent out. By constraining the total rainfall amount, the rainfall amount can be effectively constrained by predicting the precipitable water amount based on the satellite ephemeris; the underground pipe network drainage is restrained, and a water flow condition in a pipe channel is simulated by adopting an SWMM model; and finally, the waterlogging accumulated water volume is calculated, constraint verification is carried out on each link of urban waterlogging, and relatively high precision and relatively long timeliness are ensured.

The invention discloses a wind turbine generator voiceprint self-adaptive detection method, system and device and a storage medium, and belongs to the technical field of wind power, and the method comprises the steps: collecting a voiceprint signal, raindrop diameter, environment humidity, environment temperature and atmospheric pressure of a wind turbine generator in real time through a sensor array; temperature and humidity coupling correction parameters are calculated based on the environment humidity, and real-time air density is obtained through correction according to an air density correction formula by means of the environment humidity, the environment temperature and the atmospheric pressure; constructing a rain intensity noise spectrum mapping model based on the raindrop diameter and the real-time air density in combination with a raindrop vertical fragmentation merging effect compensation algorithm; performing rain noise suppression on the voiceprint signal of the wind turbine generator by adopting a depth spectrum subtraction algorithm in combination with the rain intensity noise spectrum mapping model and the dynamic suppression factor to obtain a clean voiceprint signal; and matching the clean voiceprint signal with a preset wind turbine generator fault voiceprint feature library to complete wind turbine generator voiceprint adaptive detection.

The invention relates to a rainfall observation method and device, a computer system and a medium, and solves the problem of high-reliability observation of regional rainfall. The method comprises the following steps: firstly, adopting reanalysis data and earth system mode output data to construct a first deep learning model of satellite inversion rainfall so as to reconstruct a lattice long-series rainfall data set; then, taking the rainfall attenuation information of the historical period as input, obtaining a rainfall simulation series of the corresponding historical period through different rainfall attenuation and rainfall intensity models, determining regional rainfall under the different rainfall attenuation and rainfall intensity models through a weighted link method, and preferably selecting an optimal rainfall attenuation and rainfall intensity model through long-series lattice rainfall data of the historical period; furthermore, a second deep learning model is constructed by adopting satellite inversion data and rainfall data inverted by a rainfall attenuation and rainfall intensity model, real-time correction of regional precipitation is realized, finally, real-time rainfall information of the region is deduced by adopting the optimal rainfall attenuation and rainfall intensity model and taking a real-time mobile signal as input, and the regional average precipitation corrected in real time is obtained.

The utility model relates to the technical field of test boxes, in particular to a rain test box, which comprises a box body, a water spraying nozzle arranged at the upper part in the box body, a liftable partition plate arranged in the box body, a rotatable rotating plate arranged on the partition plate, vertical plates oppositely arranged on the rotating plate, a rotatable rod body arranged between the vertical plates and a gear arranged on the rod body, a supporting frame is arranged on the gear, a containing frame used for containing experiment articles is arranged on the supporting frame, a driving assembly used for driving the gear to rotate is arranged on the rotating plate, a water collecting cavity is formed in the bottom in the box body, a water pump is arranged in the water collecting cavity, and a water pipe connected with the water spraying nozzle is arranged on the water pump. The gear is driven by the driving assembly to rotate, so that the experiment article in the placing frame is inclined, the raining test can be carried out on the obliquely placed experiment article, the raining intensity test can be carried out on a plurality of positions on the experiment article by adjusting the rotation angle of the placing frame, and the test effect is improved.

The invention discloses a rainfall measurement method and device and electronic equipment, and relates to the technical field of meteorological monitoring. The method comprises the steps of obtaining a first count value of a first range tipping bucket corresponding to a first rainfall sensing quantity in a first time period, and obtaining a second count value of a second range tipping bucket corresponding to a second rainfall sensing quantity in the first time period, the second rainfall sensing quantity being greater than the first rainfall sensing quantity; judging whether the second count value of the second range tipping bucket is increased in the first time period or not; in response to increment of the second count value, performing zero clearing and weight counting on the first count value of the first range tipping bucket; and determining a target rainfall based on the first count value and the second count value after the zero-clearing weightometer. According to the invention, the resolution of rainfall measurement and the compatibility of different rain intensity ranges can be improved.

The invention relates to the technical field of meteorological monitoring, and discloses a rainfall early warning method and system based on a weather radar, and the method comprises the steps: obtaining weather radar body sweeping arrival base data and rainfall station observation data, carrying out the alignment, carrying out the meshing of the radar base data, and obtaining the grid echo data; constructing a quasi-vertical profile to determine the height range and uncertainty of the melting layer, and carrying out weighted bright band correction on echoes in the melting layer to obtain corrected echo data; determining rainfall type partitions and performing inversion to obtain a radar rainfall intensity field; according to the rainfall station data and the radar rainfall intensity field, station residual data is obtained, a space deviation field is obtained, and finally a calibration rainfall intensity field is obtained; determining an accumulated precipitation field of each member according to the calibrated rainfall field; and obtaining an over-threshold probability published by early warning according to the accumulated precipitation field of each member, and outputting precipitation early warning information when a probability threshold is continuously met. According to the invention, the rainfall intensity overestimation and false alarm jitter are reduced, and the accuracy and stability of short temporary rainfall early warning are improved.

The invention relates to the technical field of meteorology and hydrology, and discloses a quantitative rainfall estimation method and system based on multi-source data correction radar echoes, and the method comprises the steps: collecting the multi-source data, such as rainfall station actually measured rainfall data, elevation data, hydrometric station flow, radar reflectivity, soil humidity and environmental attributes, in a target region; a Z-R relation parameter of each radar sampling grid is dynamically calibrated by combining a collaborative Kriging interpolation and physical constraint hybrid neural network model, and a radar reflectivity correction parameter of each grid is calculated by using a difference between rainfall station observation data and radar data; in real-time application, based on the corrected radar reflectivity and the calibrated Z-R parameter, the rainfall intensity of each grid is inverted, and the precision of quantitative rainfall estimation is improved.

The invention relates to the technical field of intelligent traffic, and discloses a traffic operation state sensing method and system, computer equipment and a storage medium, and the method comprises the following steps: S1, multi-modal data collection: collecting multi-source data through a roadside meteorological station, a millimeter wave radar and an anti-fog camera, the multi-source data comprising meteorological parameters, vehicle motion trails and video streams; s2, meteorological parameter dynamic compensation: dynamically calculating a weather sensitivity coefficient based on real-time meteorological data, the meteorological data including visibility, rainfall intensity and road surface temperature; s3, performing deep learning visual compensation; s4, performing multi-scale risk prediction; and S5, edge 5G real-time early warning is carried out. According to the method, through chained processing of meteorological parameter dynamic compensation and deep learning visual compensation, the influence of climate on traffic perception is quantified, visual errors caused by weather are dynamically compensated, the traffic operation state is rapidly and accurately perceived under the complex climate condition, the traffic safety and the traffic efficiency are improved, and the vehicle prediction accuracy is improved.

The invention discloses a mountain torrent early warning rainfall threshold dynamic adjustment method and system, and relates to the technical field of hydrological early warning, and the method comprises the steps: obtaining basic rainfall data and a basic early warning threshold of a target region; according to the basic rainfall data, performing calculation to obtain a multi-factor correction factor; the multi-factor correction factors comprise an early-stage wettability correction factor, a rainfall intensity correction factor and a rain pattern mode correction factor; calculating to obtain a comprehensive correction factor according to the multi-factor correction factor; according to the comprehensive correction factor and the basic early warning threshold value, calculating to obtain a dynamic early warning threshold value; the dynamic early warning threshold value comprises a ready transfer dynamic early warning threshold value and an immediate transfer dynamic early warning threshold value; and determining a rainfall early warning level according to the dynamic early warning threshold and the real-time rainfall. According to the invention, the early warning threshold can be dynamically adjusted according to the real-time working condition, and the accuracy and timeliness of mountain torrent early warning are improved.

The invention discloses a porous asphalt pavement gap distribution uniformity and drainage performance testing method. A porous asphalt pavement needing to be tested is divided into a plurality of test road sections; detecting the water seepage conditions of n measuring points in the transverse direction h and the longitudinal direction z of the test road section by adopting a pavement water seepage instrument; driving the rainfall simulation device into a test road section; before testing, the rainfall simulation device is calibrated, the uniform spraying effect of the rainfall simulation device is ensured, the minimum rainfall intensity can be simulated and measured, and meanwhile all interfaces are checked to ensure tight connection; performing water seepage condition retest on the test road section by using a rainfall simulation device, and selecting m test points; and uniformly analyzing gap distribution of the test road section. According to the method, firstly, a road surface runoff scene can be truly simulated, the problem of lateral seepage interference is solved, the overall water seepage condition of a road section can be accurately evaluated, and the pavement water seepage qualification misjudgment rate is reduced; meanwhile, the construction segregation degree is revealed through the data difference between the water seepage instrument (point) and the rainfall simulation (surface). The method is high in operability, convenient to understand and real and reliable in data, and is a simple, convenient and visual test method.

The application discloses a signal interference strategy generation method and device based on deep learning, and a medium, and relates to the technical field of signal interference. The method comprises the following steps: calculating initial path rain attenuation values corresponding to reference level sampling data and real-time level sampling data; filtering a wet antenna attenuation component of the real-time level sampling data through digital filtering based on the initial path rain attenuation values, and determining pure path rain attenuation values of each communication link; inverting the pure path rain attenuation values to obtain path average rain intensities corresponding to each communication link; performing spatial interpolation optimization on a preset interference area to determine a two-dimensional rainfall intensity distribution map; calculating signal propagation time delay of an interference target ray track to obtain interference target corrected coordinates; and determining an interference strategy corresponding to the interference target through link interference parameter calculation and interference window prediction. The application solves the technical problem that the signal interference strategy in the prior art cannot meet the dynamic requirements of an interference signal link in a rainfall environment.

The invention relates to a rain sensor for motor vehicles that precisely detects rain intensity and dirt accumulation on the windshield. The sensor uses modulated light beams emitted by LEDs or laser diodes and guided through the windshield. Changes caused by raindrops or dirt are detected by photodetectors and analyzed by a control unit consisting of a computer system with a CPU and memory. The control unit processes the signals and derives measured values ​​for the probability of rain and the windshield's attenuation. In addition, the sensor supports encrypted communication, software updates, and integration into modern connected vehicle systems. Its modular design allows for adaptation to various vehicle models and environmental conditions. The rain sensor is future-proof and ready for integration into intelligent and autonomous vehicle systems, ensuring high precision and reliability under diverse weather conditions.

The invention discloses a rainfall intensity detection method and device bearing raindrop falling strike, and the method comprises the following steps: setting a sliding time window, collecting rainfall data, processing the rainfall data based on the sliding time window, and obtaining optimized rainfall data; impact kinetic energy of the optimized precipitation data is obtained based on a piezoelectric sensor, and the impact kinetic energy is converted into an electric signal; calculating a voltage value based on the electric signal, and comparing the voltage value with a set voltage threshold value to obtain a voltage difference value; setting a weight coefficient attenuation model based on the voltage difference value, and matching different weight coefficients for the precipitation data in the sliding time window based on the weight coefficient attenuation model; calculating rainfall intensity information of different time periods based on different weight coefficients; rainfall data are acquired at intervals by setting a sliding window, and weight coefficients of different windows are dynamically adjusted through a weight coefficient attenuation model, so that rainfall intensity information is accurately analyzed.

The invention provides a flood discharge atomization protection method, and relates to the technical field of water conservancy and hydropower engineering, and the method comprises the steps: obtaining wind speed and wind direction data through a meteorological station; based on the acquired data, analyzing the influence of an environmental wind field on flood discharge atomization rainfall, determining atomization rainfall distribution, during analysis, decomposing the wind field into X-Y direction wind speed variables according to an extreme wind speed value and the most unfavorable local wind direction, and superposing the X-Y direction wind speed variables with a water tongue wind field in a windless state to complete wind field calculation; on the basis of atomization rainfall distribution, areas are divided according to atomization rainfall intensity, corresponding protection measures are taken according to the areas, and the protection measures comprise arrangement of flood discharge and energy dissipation buildings. By the adoption of the scheme, the flood discharge atomization protection effect is improved.

The invention discloses a multi-dimensional progressive quality control method for observation data of a laser raindrop spectrometer, and belongs to the technical field of weather monitoring, and the method comprises the steps: calculating the total number of raindrop particles recorded in all gears in a single minute, carrying out the primary screening of the total number of raindrop particles recorded in the single minute, and judging the number of screened particles; inverting rainfall intensity based on the raindrop spectrum, and performing secondary screening; fourthly, a diameter-speed distribution fitting judgment module is used for conducting quartic polynomial fitting, a decision coefficient is calculated, the calculated decision coefficient is judged, and a fitting curve is compared with a raindrop falling final speed theoretical model; an abnormal gear data rejecting module is used for checking the speed deviation gear by gear and rejecting abnormal gear data; and outputting final data after verification. According to the method, non-rainfall interference data, low-rainfall noise, abnormal data deviating from a theoretical model and data conflicting with external observation are sequentially eliminated through a step-by-step screening mechanism, quality control is performed on the observation data of the laser raindrop spectrometer, and the reliability of the data of the laser raindrop spectrometer is effectively improved.

The invention discloses a coastal zone nitrogen and phosphorus reduction effect evaluation method, which comprises the following steps: acquiring multispectral image data and a digital surface model, and acquiring actual gradient, altitude and long-term hydrological dynamic data through ground actual measurement, sampling and investigation; extracting core parameters, correcting a digital surface model by utilizing ground actual measurement altitude data, constructing a target coastal zone precise digital elevation model, determining a gradient and dividing a gradient interval, and identifying a target coastal zone type and a planting / slope protection combined structure by combining multispectral image data, ground survey data and the digital surface model; obtaining a nitrogen and phosphorus reduction reference value according to the core parameters, extracting a rainfall intensity correction coefficient and a water level amplitude correction coefficient in combination with hydrological dynamic data, and calculating a final nitrogen and phosphorus reduction proportion; and spatial visualization is carried out, so that efficient, accurate and standardized evaluation of the nitrogen and phosphorus reduction effect of the coastal zone is realized, and a scientific basis is provided for design, optimization and effect inspection of ecological restoration engineering of the coastal zone.

The invention belongs to the technical field of artificial rainfall simulation, and particularly relates to a rainfall intensity adjusting and controlling system and device of an artificial rainfall device. According to the invention, through dynamic closed-loop control, each spraying unit can be adjusted in real time according to local monitoring data, drastic rainfall intensity fluctuation caused by non-uniform water power distribution of a pipe network is eliminated to the greatest extent, water pressure and flow of the spraying units and the whole simulated rainfall area are accurately regulated and controlled, and simulation distortion of the area rainfall process is avoided; meanwhile, unnecessary opening degree adjustment of a pump station and a valve is reduced, energy consumption is reduced, multi-stage modules are clear in labor division, initial regulation, water pressure compensation and dynamic fine adjustment are conducted, the rapid response and self-adaptive capacity is achieved, convergence to the target strength can be achieved in a short time, modular design is achieved, all subsystems are clear in responsibility, and the system is suitable for large-scale popularization and application. And flexible adjustment can be realized according to project scale or special requirements without large-scale overall transformation.

The invention discloses an overflow frequency control-oriented drainage system closure multiple calculation method, which comprises the following steps of: firstly, acquiring multi-year rainfall data of a research area, and dividing rainfall events according to a certain time interval; arranging the rainfall events according to the maximum rainfall intensity or net rainfall intensity; secondly, according to the overflow frequency control requirement of the overflow port, the rainfall intensity or net rain intensity limit value corresponding to the overflow frequency reaching the standard is counted; then, determining a dry season flow reference value of the section of the overflow port; and finally, the rainfall intensity or net rain intensity limit value is divided by the dry season flow characteristic value, and the interception multiple required for reaching the standard is calculated. The method has application value in the scenes of quality and efficiency improvement and water body environment protection of drainage pipe network systems such as combined system drainage system transformation, rainwater and sewage mixed connection or misconnection pipeline improvement and the like. And establishing a quantitative relationship between the overflow frequency of the overflow port and the interception multiple, and calculating the interception multiple required by the overflow port for reaching the standard, thereby providing a decision basis for black and odorous water body treatment and water body environment protection.

The invention relates to the technical field of water and soil simulation analysis, and discloses a slope infiltration and stability analysis method, a medium and equipment. According to the method, seepage characteristics and a fractal theory are introduced, a GA model is improved, a new slope rainfall infiltration model is provided, the model is combined with groundwater distribution to establish a slope initial moisture content distribution model, a runoff-seepage coupling effect is introduced, and the influence of slope surface accumulated water on the infiltration rate is dynamically analyzed; the Mohr-Coulomb intensity criterion is optimized based on the saturated zone seepage effect and the fractal theory, the improved infiltration model is applied to limited slope stability analysis, and the limitation that a traditional model is only suitable for an infinite long slope is broken through; by comprehensively considering factors such as soil particle size characteristics, slope surface runoff, gradient, rainfall intensity and underground water level, the safety coefficient of each point position in the slope can be accurately calculated, and the accuracy of infiltration process description and the reliability of slope stability analysis under the heavy rainfall working condition are remarkably improved.

The present application belongs to the technical field of soil centrifuge simulation rainfall test, and discloses a rainfall device for improved centrifugal model rainfall test. The rainfall device comprises a centrifugal box, a rainfall module and a fixing module. The rainfall module is arranged above the centrifugal box to simulate rainfall, and the fixing module is used for fixing the rainfall module above the centrifugal box. The rainfall module comprises a water source, an atomizer water pump and a water outlet unit connected by a water delivery pipe in sequence. The atomizer water pump is used for providing atomized water pressure in the water delivery pipe. The water outlet unit comprises a U-shaped water delivery pipe and a nozzle. The height of the inner wall of the top of the water inlet pipe of the U-shaped water delivery pipe is lower than the height of the inner wall of the bottom of the water outlet pipe, so as to prevent the water in the U-shaped pipe from overflowing to form a cavity. Through the present application, the problems of nozzle leakage, cavity in the pipe, rainfall delay and uneven distribution of rainfall on the surface of the soil under the combined action of gravity, Coriolis force and centrifugal force are solved.

This invention discloses a method and device for optimizing and controlling the hydrothermal environment of green roofs based on modified matrix synergy, belonging to the field of green building technology. The method involves acquiring meteorological parameters and roof structure requirements of the target area to determine the hydrothermal control objectives, and customizing a modified matrix formula composed of garden soil, gravel, and wood chip biochar, pretreated for porosity optimization. A layered structure is constructed, and sensors collect data such as matrix moisture content, roof temperature, and rainfall intensity in real time. Based on a coupling algorithm, the porosity and height of the water storage and drainage layer are dynamically adjusted to achieve hydrothermal control through the synergistic effect of the modified matrix's water retention and thermal insulation properties and vegetation evapotranspiration. The control effect is periodically evaluated, and the matrix ratio and water storage and drainage layer parameters are iteratively updated. The device employs an intelligent modular adjustable ventilated water storage and drainage layer, with built-in sensors and a drive motor, and a distributed data acquisition and control module to achieve intelligent control. This invention solves the problems of poor adaptability and weak hydrothermal control capabilities of traditional green roofs.

The application provides a drought-flood sudden change early warning method and system for coupling satellite and ground base station signals, and comprises the following steps: acquiring multi-source data of a research area; loading a hydrological climate reconstruction model to reconstruct long-series gridded rainfall data and soil moisture data of the research area in a historical period; optimizing a plurality of rain attenuation rain intensity models for rainfall inversion by a microwave link signal; constructing a correction module of the rain attenuation rain intensity model to correct real-time regional rainfall series inverted by the microwave link; constructing a drought-flood sudden change event intensity correction module to generate a calibrated historical drought-flood sudden change event library; constructing a drought-flood sudden change dynamic early warning module fusing a circulation signal to output early warning results of drought-flood sudden change in a future period; and generating and releasing drought-flood sudden change risk early warning information based on the early warning results output by the drought-flood sudden change dynamic early warning module. The application provides a real-time, dynamic and high-precision drought-flood sudden change early warning mode by fusing satellite remote sensing and mobile communication base station signals.

The application discloses a runoff estimation method considering vegetation interception under non-uniform rainfall conditions, and steps include: step 1, establishing a vegetation interception model to calculate the interception process; step 2, establishing an infiltration model to calculate the infiltration process; and step 3, establishing a runoff generation model to obtain the runoff generation process under the non-uniform rainfall conditions. The method is verified to be accurate in the runoff generation model through a numerical solution. The method further perfects the simulation of the rainfall-runoff process, and can predict the single-width flow at a runoff outlet of a mountain slope only by using the rainfall intensity under the natural rainfall intensity.

The utility model discloses an artificial simulated rainfall calibration system which comprises a rainwater collector, a water inlet connecting pipe, a rainwater temporary storage device, a middle connecting pipe, a water pumping connecting pipe and a rainfall sensor. The input end of the rainwater collector is used for collecting rainwater simulating rainfall, and the output end of the rainwater collector is connected with one end of the water inlet connecting pipe; the other end of the water inlet connecting pipe is connected with the output end of the rainwater temporary storage device; the other end of the rainwater temporary storage device is connected with one end of the middle connecting pipe, the other end of the middle connecting pipe is connected with the water pumping connecting pipe, and the water pumping connecting pipe is used for draining rainwater in the rainwater temporary storage device; the rainfall sensor is arranged on the outer side of the rain collector and is configured to detect rainfall and rainfall intensity within a period of time. The method is high in repeatability, can accurately measure and calibrate the rainfall amount and the rainfall intensity of artificial simulation rainfall, and reduces the labor burden.

The invention provides a river bank erosion monitoring and evaluating method and system based on unmanned aerial vehicle inspection, and belongs to the technical field of hydraulic engineering monitoring. Comprising the following steps: S1, segmenting a river bank, and selecting segmented river bank areas needing to be monitored; s2, acquiring historical data of hydrological conditions, erosion resistance, gradient, rainfall intensity and historical vegetation coverage of the monitored segmented river bank areas, and constructing a river bank erosion rate prediction model based on the historical data; s3, planning a flight path of the unmanned aerial vehicle in the monitored segmented river bank area, and obtaining orthoimage maps at different monitoring times; s4, calculating the actual erosion rate of the segmented river bank area according to the ortho-image maps at different monitoring times; and S5, according to the calculated actual erosion rate and the predicted erosion rate of the river bank erosion rate prediction model at the corresponding moment, evaluating the river bank erosion degree according to the difference condition and value between the actual erosion rate and the predicted erosion rate.

The invention relates to the technical field of rainfall inversion, in particular to a multi-source data fused rainfall radar high-precision rainfall inversion method, which comprises the steps of S1, defining an inversion target and selecting multi-source data; s2, multi-source data preprocessing and cloud layer influence pre-judgment; s3, fusion algorithm type selection and correction model construction; s4, assimilating historical data; s5, dynamic weight optimization is carried out; the judgment logic can effectively distinguish distorted data and effective data which are shielded by clouds, blind use of shielded rainfall particle detection data for inversion is avoided, false rainfall areas or missed judgment areas are reduced, rainfall particle information which is originally large in deviation due to signal reflection and absorption of the clouds is closer to the real situation, and the accuracy of rainfall particle detection is improved. The accuracy of rainfall intensity inversion is remarkably improved, short-term historical data processed by a physical model and a long-term climate background field are fused into a real-time inversion process, a smoother, more stable and more reasonable rainfall inversion result can be provided, and the accuracy of rainfall products in short-term and imminent forecasting is greatly enhanced.