492 results about "Rain drop" patented technology

The invention belongs to the field of data analysis and processing, and discloses a virtuality and reality combined automobile automatic driving test method. Comprising the following steps: connecting a sensor suite and an automatic driving system of an automobile with a virtual twin center by using a CAN bus or an Ethernet interface, operating the automatic driving system, and generating a performance report; the method comprises the following steps: initializing raindrop attributes, setting the transparency of raindrops based on real environment data, introducing a complex wind field model and a surface ponding dynamic evolution mechanism, carrying out collision detection on all raindrop pairs by using a space segmentation algorithm, and simulating dynamic behaviors of the raindrops in the air based on a discrete element method and a smoothed particle fluid dynamics method. Visual rendering is carried out on the water spray effect; under the influence of raindrop physical characteristic modeling, output of laser radar point cloud scattering modeling, camera image fuzzy modeling, millimeter wave radar signal attenuation and scattering modeling and ultrasonic sensor interference modeling is iteratively updated, and automatic driving testing of an automobile under virtual-real combination is achieved.

The invention relates to the technical field of soil splash erosion, in particular to a soil splash erosion simulation analysis system which comprises a rainfall simulator for simulating rainfall with different intensities and different pH values; the wind simulator adjusts wind speed and wind direction; raindrop data are measured by raindrop characteristic measuring equipment; the splash erosion simulation equipment simulates the process that raindrops drop on target soil to cause splash erosion and generate splash erosion substances; the data acquisition equipment acquires the corresponding initial pH value and initial conductivity of the target soil before rainfall; collecting the target pH value, the target conductivity and the target denudation depth of the target soil after rainfall, and the average weight diameter and the total target splattering amount of the target splattering substance corresponding to the splattering substance; the electronic equipment determines and establishes a splash erosion prediction model based on the raindrop pH value, the raindrop data, the wind speed, the wind direction and the data acquired by the data acquisition equipment, and the soil splash erosion simulation analysis system capable of quantitatively analyzing soil splash erosion in real time is developed.

The invention discloses an image rain removal method based on dual-channel fusion. The method comprises the following steps: establishing a data set containing an original rain image and a corresponding rain-free clear image; constructing a dual-channel fusion network for image rain removal; using loss, edge loss and frequency loss to form a mixed loss function for quantifying the difference between the rain-removed image and the rain-free clear image; training the dual-channel fusion network by adopting the data set; and the trained dual-channel fusion network is adopted to test a rain image to be subjected to rain removal, and a clear image after rain removal is obtained. According to the invention, a dual-channel fusion attention enhancement module, a mixed scale gating feedforward network module and the like are introduced into the model, so that the robustness and the feature extraction capability of the model are improved, and the model can better adapt to raindrop interference in different actual scenes.

The invention relates to the technical field of rainfall data forecasting, in particular to a rainfall observation and evaluation method for global coverage of a high-density city. The method comprises the following steps: performing monitoring point position analysis on a target city to obtain a camera monitoring point set; performing monitoring camera selection on the target city according to the camera monitoring point set to obtain a raindrop monitoring camera identifier set; wherein the raindrop monitoring camera identifier set comprises a plurality of raindrop monitoring camera identifiers; carrying out real-time rainfall image stream acquisition on the corresponding camera according to the raindrop monitoring camera identifier to obtain a real-time rainfall image sequence; and performing automatic raindrop edge identification on the raindrops based on the real-time rainfall image sequence to obtain a raindrop edge identification result graph. According to the invention, the limitation of the traditional rainfall station-shaped distribution is overcome, the whole-city non-blind-area rainfall monitoring is realized, and the method has the advantage of high spatial resolution.

The invention discloses an X-band meteorological radar accurate rainfall inversion method based on a backscattering differential phase. The method comprises the following steps: firstly, determining a distribution structure of each rainfall estimation equation of a place according to a raindrop spectrum of the place observed by a raindrop spectrometer; secondly, performing T matrix simulation by utilizing the observed raindrop spectrum, and establishing a rainfall estimation equation of the place; then, a spatial sampling method of radar variables is determined, sampling is carried out, and sampled data is preprocessed; then, the rainfall rate is inverted, and the precision of the rainfall rate is verified; and finally, inverting the one-hour rainfall cumulant and verifying the precision of the one-hour rainfall cumulant. According to the invention, the precision of rainfall inversion of the X-band meteorological radar is improved, and a guarantee is provided for accurate rainfall real-time forecast.

The invention relates to the field of automobile electronic testing technology and equipment, and discloses a vehicle-mounted camera imaging quality testing method and device suitable for a rain and fog scene, and the method comprises the steps: installing a to-be-tested camera module in a rain and fog environment cabin, setting the spectrum and illumination of a top natural illumination simulation system, and simulating the illumination at different time periods; selecting a test target plate in the darkroom; starting an automatic centering module to align the optical axis with the standard plate reference; rain and fog parameters are set through the environment control host, the rain and fog supply system is started to simulate different levels of rain and fog environments, and the raindrop particle size, concentration, dripping speed, fog visibility and fogdrop particle size are dynamically regulated and controlled; shooting a target plate graph card, extracting characteristic parameters by an image analysis module, performing quantitative analysis, and generating an evaluation report, so as to solve the technical problem of singleness of rain and fog scene environment simulation in the prior art.

The invention discloses an urban low-altitude gridding management process control method and system based on unmanned aerial vehicle analysis, and belongs to the technical field of unmanned aerial vehicle flight management.The urban low-altitude gridding management process control method comprises the steps that urban three-dimensional data are obtained, an urban area is divided into multiple grid units, meteorological data are obtained, and a building interference evaluation model is constructed; importing the open angle and the building surrounding rate of each grid unit into a building interference evaluation model to calculate the building intensity, evaluating the reflection interference on the unmanned aerial vehicle through the number and intensity of reflection paths, constructing a meteorological interference model, obtaining the cloud cluster humidity distribution, raindrop particle size and wind parameters of the grid units, and calculating the building intensity. The method comprises the following steps: importing meteorological data into a meteorological interference model to evaluate a rainfall interference condition and a wind disturbance condition, constructing a flight risk evaluation model, and importing building density, a multi-path reflection error index, a rainfall interference index and wind disturbance intensity into the flight risk evaluation model to evaluate the flight risk degree of the unmanned aerial vehicle. And the safety of the flight path of the unmanned aerial vehicle is improved.

The invention discloses a vehicle-mounted camera self-cleaning method and system and a vehicle, and relates to the technical field of vehicle-mounted camera self-cleaning. The method comprises the following steps: starting a vehicle and executing self-cleaning once; monitoring the environment and the dirty condition of the vehicle-mounted camera; transmitting a cleaning signal; the cleaning signal is recognized, and corresponding cleaning steps are executed; stopping the vehicle and ending self-cleaning; the system comprises a plurality of cameras, each camera is provided with a plurality of air nozzles, the air nozzles are communicated with an electromagnetic valve through pipelines, and the electromagnetic valve is communicated with a high-pressure air source through a pipeline; the electromagnetic valve is electrically connected with a controller, and the controller is further electrically connected with a display screen, a raindrop sensor, a manual switch and the camera. The vehicle comprises the vehicle-mounted camera self-cleaning system. The device does not directly contact the surface of the camera, lens abrasion is avoided, different cleaning strategies can be executed according to rainfall, and the problems that in the prior art, a lens is prone to abrasion, and the rainwater cleaning capacity is poor can be effectively solved.

The invention discloses an intelligent sound wave rainfall excitation system and relates to the field of sound wave rainfall, sound waves can be rapidly spread and act on a large-area cloud layer, and the rainfall excitation effect is remarkable and rapid. And if the intelligent control device detects that the current environment condition meets the preset rainfall excitation condition, the air compression device and the sound wave generator are controlled to be in a working state. The air compression device in the working state is used for pressurizing air; sound wave beams generated by the sound wave generator in the working state can form a sound wave field for exciting water vapor condensation in the cloud layer. The sound wave generator and the air compression device work together, water vapor in a cloud layer is promoted to be condensed into raindrops through sound wave beam disturbance and spraying of air in a high-pressure state, the water vapor condensation speed and efficiency can be remarkably increased through spraying of the air in the high-pressure state, and the rainfall excitation effect is enhanced through combined action with sound wave beams.

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 provides a vehicle management method based on visual identification. Comprising the following steps: performing visual image acquisition and basic feature identification on a vehicle in a target area, executing multi-source interference perception, acquiring raindrop volume concentration, a strong light incidence angle, vehicle tail gas heat flux density and a light intensity sudden change rate of the target area, and generating multi-factor coupling interference intensity data; executing dynamic exposure control based on the multi-factor coupling interference intensity data, outputting an exposure compensation coefficient and driving an image acquisition unit to adjust the shutter speed and the exposure duration; performing distortion correction feature extraction based on the image after exposure compensation coefficient correction, calculating image marginal definition and feature matching frequency deviation, and generating feature extraction confidence; judging whether to output a vehicle management recognition result or not according to the feature extraction confidence; the method can effectively deal with the composite interference scene, and solves the problems of low recognition precision and response lag.

The utility model provides a control system of an intelligent dustbin. The control system comprises an automatic induction door opening unit and a raindrop induction unit. The automatic induction door opening unit comprises an induction probe, a normally open switch and a dual-output power-off delay relay; the raindrop sensing unit comprises a manual switch button, a raindrop control relay and a raindrop sensor; the raindrop control relay comprises a relay coil and a corresponding normally closed contact; the other end of the manual switch button is connected with the signal input end of the dual-output power-off time-delay relay through a wire; and the relay coil and the raindrop sensor are connected in series between the power supply and the ground. When it does not rain, the inductive probe induces that the human body gets close to or leaves the dustbin, and the double-output power-off time-delay relay controls the execution assembly to make corresponding actions to open or close the dustbin door. When it rains, a person manually presses the manual switch button, and the double-output power-off time-delay relay controls the execution assembly to make corresponding actions, so that the box door is opened or closed.

A window framing system for installation in a shipping container wall aperture, including a corrugation cap to cover a lower edge of the aperture and the adjacent corrugations, and the corrugation cap configured for supporting a lower portion of a window within the window framing system. The corrugation cap is a C-shaped channel with inner and / or outer downwardly-directed portions configured for positioning adjacent inner and / or outer surfaces of the wall, respectively. The system may also include a rain drip member mounted on an upper surface of the frame to receive water on an upper surface and redirect the water outwardly away from the wall. Tabs can be used to assemble the side frame members to the header and footer frame members, allowing assembly by a single person, and the tabs may further allow securing of the frame components using holes outside the container envelope for fasteners (thus reducing the risk of leakage inside the wall cavity).

1. Name of the product of this design: Humidifier Bluetooth Speaker (Aromatherapy Raindrop Little Red Riding Hood‑ Y21). 2. Purpose of this product: used for playing audio, aromatherapy and increasing indoor air humidity. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The present invention provides an automotive air-conditioning performance detection device, which relates to the technical field of automotive air-conditioning performance detection. It includes a detection chamber. A working cavity is opened in the detection chamber, and a partition plate is fixedly installed in the working cavity. The partition plate can divide the working cavity into a liquid storage cavity and a detection chamber arranged vertically. A plurality of water outlet holes are opened on the partition plate, and a plurality of piston rods are slidably installed in the liquid storage cavity. The present invention provides an automotive air-conditioning performance detection device. By setting the detection chamber, partition plate, piston rod, scraping rod and driving mechanism, it can simulate rainy days to realize the function detection of the vehicle's air conditioner during rainy driving. At the same time, it can clean the water outlet holes and the bottom water outlets of the water outlet holes, ensure the size of the simulated raindrops, thus ensure the simulation of different rain intensities, reduce the insufficient water output caused by the blockage of the water outlet holes, resulting in the decrease of the simulated rain intensity and affecting the result of the automotive air-conditioning performance detection, and ensure the accuracy of the detection result.

The present invention relates to a transformer with a lightning protection structure, including a base. A transformer body is arranged on the top of the base. A rain drop sensor is arranged on the top of the transformer body. Heat dissipation fins are installed on both side walls of the transformer body. In the present invention, by setting a driving mechanism and a protection component, and through the combined use of the driving mechanism and the protection component, when the rain drop sensor senses rain drops, the driving mechanism works, and the protective cover in the protection component unfolds accordingly. At the same time, the lightning rod in the protective cover will slowly rotate out from the protection component until it is vertically upward, and then the clamping component clamps and limits the large gear in the driving mechanism, thereby increasing the stability of the lightning rod. When the rain drop sensor does not sense rain drops, the lightning rod will be stored in the protection component, providing a good protection effect on the lightning rod and increasing the service life of the lightning rod.

The invention provides a rainfall monitoring method and system based on unmanned aerial vehicle multi-mode noise reduction in the technical field of environment monitoring and unmanned aerial vehicle application, and the method comprises the steps: S1, collecting a visible light image and a long-wave infrared image through a multispectral vision module after an unmanned aerial vehicle takes off, and collecting a rainfall audio from an acoustic cabin through a microphone; s2, carrying out noise reduction processing on the visible light image, the long-wave infrared image and the rainfall audio; s3, extracting a raindrop size distribution histogram and a spatial density thermodynamic diagram based on the visible light image and the long-wave infrared image, and extracting acoustic MFCC features based on rainfall audio; s4, performing feature fusion operation based on the raindrop size distribution histogram, the visual density thermodynamic diagram and the acoustic MFCC features to obtain rainfall intensity; and S5, carrying out cumulant dynamic compensation based on the rainfall intensity to obtain the cumulative rainfall. The rainfall monitoring method has the advantages that the precision, robustness and practical level of rainfall monitoring are greatly improved.

The invention discloses a rainfall monitoring method and device based on millimeter wave radar, and relates to the technical field of meteorological monitoring. The method comprises the following steps: controlling a 24 / 60GHz commercial millimeter wave radar to transmit a millimeter wave signal of an adaptive parameter to a preset area; a raindrop echo signal is received, and clutters are removed through Kalman filtering and wavelet noise reduction; extracting a one-dimensional energy feature, a two-dimensional speed feature and a speed-energy two-dimensional distribution matrix; inputting a low-error model trained by a random forest algorithm, calculating a rainfall energy value and mapping the rainfall energy value into a rainfall level; data is output through a LoRa / ZIGBEE network; the device comprises a millimeter wave radar module, a signal processing module, a calculation output module and a wireless communication module. The problems of single monitoring dimension, high cost and difficult deployment in the prior art are solved, non-contact, low-cost, high-real-time and distributed rainfall monitoring is realized, the error is less than or equal to 5%, the response period is less than or equal to 100ms, and the method is suitable for traffic, municipal administration, emergency and other scenes.

The invention discloses a model rendering method and device, electronic equipment and a computer readable storage medium. According to the embodiment of the invention, a target model of a to-be-rendered raindrop and a raindrop texture map are acquired; acquiring an environment parameter of the virtual scene and a camera motion parameter of the virtual camera; adjusting the pose of the target model according to the environmental parameters and the camera motion parameters, wherein the center position of the target model coincides with the position of the virtual camera; and based on the raindrop texture map, rendering raindrops on the target model. According to the embodiment of the invention, the efficiency of rendering the rainfall effect can be improved.

The invention provides a raindrop spectrum inversion model construction method and device, electronic equipment and a storage medium, and belongs to the technical field of signal processing, and the method comprises the steps: carrying out the model training of a plurality of base learners through part of model training data in a training data set; and fusing all the base learners after model training according to a preset integration strategy, constructing a raindrop spectrum inversion model, and verifying the constructed raindrop spectrum inversion model by using test set data. The invention provides a raindrop spectrum inversion model construction method and device, electronic equipment and a storage medium, and the method comprises the steps: taking a raindrop spectrum true value collected by a laser raindrop spectrometer as a label, taking a radar measurement parameter generated through T matrix scattering simulation as a sample to train a plurality of base learners, and carrying out the fusion according to a preset integration strategy, thereby obtaining a raindrop spectrum inversion model. And a data-driven raindrop spectrum inversion model is constructed, so that the accuracy and robustness of raindrop spectrum inversion are improved, and reliable support is provided for cloud precipitation microphysical research.

A vehicle includes: an in-vehicle sensor that detects an environment around the vehicle; an autonomous driving unit that executes automated valet parking based on the detection result from the in-vehicle sensor; a detection unit that detects dirt or a raindrop attached to the in-vehicle sensor before the automated valet parking is started by the autonomous driving unit; and an informing unit that outputs information that suggests removing the dirt or the raindrop on the in-vehicle sensor in response to the detection unit detecting the dirt or the raindrop attached to the in-vehicle sensor.

The invention discloses a flood discharge atomization rainfall intensity prediction method based on fog and rain liquid drop distribution. The method comprises the following steps: acquiring fog and rain images and environmental parameters of a flood discharge area; extracting effective round spot data of fog drops and raindrops; extracting droplet deformation characteristics, constructing a fluid constraint matrix, enhancing deformation critical characteristics, decoupling flow characteristics, reconstructing a physical deformation mode, evaluating droplet stability and correcting droplet volume; and calculating the spatial distribution of the rainfall intensity based on the corrected droplet particle size data. According to the method, through a technical route of combining deformation feature extraction, flow characteristic decoupling and physical modal reconstruction, accurate description of dynamic deformation of flood discharge atomization rainfall droplets under the action of water-gas turbulence in a complex environment is realized, and the prediction precision of rainfall intensity and range of a flood discharge atomization area is improved.

The invention relates to a ground precipitation intensity estimation method based on phased array radar echoes and geographic factors, which belongs to the field of radio, and comprises the following steps of: mapping and interpolating polar coordinate multivariable radar echoes and a three-dimensional wind field to a unified three-dimensional grid to form a consistent spatio-temporal data basis; then, various rainfall type areas are automatically divided based on local density clustering, a time lag field is constructed according to rainfall types, and adaptive time alignment of radar echoes and ground station observation is achieved; a three-dimensional wind field and a raindrop terminal end velocity are introduced to calculate rainfall falling drift, the position of a grid point matched with a ground station point space is corrected, and accurate space matching of radar echoes and ground station observation is completed; a terrain uplift index is constructed by combining a stratum wind direction, a DEM (Digital Elevation Model), a gradient, a slope direction and a slope position type, and a radar nonlinear precipitation potential vector and a terrain feature are jointly modeled through a physical constraint coupling model, so that quantitative estimation of the ground precipitation intensity is realized, and the reliability and applicability of ground precipitation estimation in a complex environment are improved.

Provided is a technique capable of further improving the visibility of pedestrians. A control device for a vehicle lamp for controlling the operation of a vehicle lamp having a variable light distribution mode, in which a controller controls the operation of the vehicle lamp when the relationship between a rainfall amount detected by a first sensor and a raindrop size detected by a second sensor satisfies a first weather condition in which a light curtain phenomenon is estimated not to occur. And a control unit that controls the vehicle lamp so as to irradiate a first light beam when the relationship between the rainfall amount detected by the first sensor and the raindrop size detected by the second sensor satisfies a second weather condition in which the light curtain phenomenon is estimated to occur, and controls the vehicle lamp so as to irradiate a second light beam. The vehicle lamp is controlled to irradiate a second light beam having an illumination set to be relatively lower than that of the first light beam.

The invention discloses a raindrop response control method and related equipment, and relates to the technical field of vehicle control, and the method comprises the steps: scanning the surface of vehicle windshield glass through a distributed sensor array, and obtaining raindrop distribution time sequence data; according to the spatial density distribution characteristics of the raindrop distribution time sequence data, generating a first steering control instruction for the optical detection head so as to drive the optical detection head to obtain raindrop dense area detection data; according to the raindrop distribution time sequence data and the raindrop dense area detection data, raindrop path prediction is carried out, and a raindrop diffusion path of a future preset time length is obtained; and generating a pre-response instruction set according to the raindrop diffusion path. Through distributed sensing, dynamic focusing and multi-dimensional fusion prediction technologies, high-precision, non-blind-area and low-delay raindrop detection and response control over the whole windshield glass are achieved, and the rainfall recognition accuracy and the system intelligence can be remarkably improved.

The invention belongs to the technical field of geotechnical engineering disasters, and particularly relates to an intelligent rainfall simulation system and method for a slope stability experiment. The system comprises an intelligent rainfall simulation unit, a comprehensive monitoring unit, a real-time data fusion and adaptive control unit and a data analysis-visualization unit which are organically unified and matched with one another. According to the invention, intelligent control of the rainfall process can be realized, and the rainfall intensity, raindrop size and rainfall uniformity can be accurately adjusted; the system is high in integration level and high in automation degree, real-time multi-dimensional monitoring can be achieved, and high-precision and real-time analysis of experimental data and automatic risk early warning are achieved. Advanced monitoring means such as DIC full-field strain, optical fibers and acoustic emission are adopted, the experiment precision is remarkably improved, an accurate basis is provided for slope stability analysis and disaster prevention and control, and the method can be applied to the fields of engineering slope safety evaluation, education and public safety and has a good application prospect in the aspects of geological engineering, geotechnical engineering, colleges and scientific research and teaching, emergency drilling and science popularization and the like. And safety and disaster prevention awareness are improved.

The invention discloses a polarization radar data set assimilation method based on a raindrop mass weight average diameter under a double-parameter scheme, and the method comprises the following steps: reading the total concentration and mixing ratio of background field raindrops, and diagnosing the mass weight average diameter of the background field raindrops based on a gamma distribution parameter relation in a double-parameter microphysical scheme; performing explicit updating or implicit updating on the grid points in the observation influence range of the polarization radar; further correcting the total concentration and the mixing ratio of the raindrops by using the assimilation analysis field; the method further improves the precision of mode analysis field micro-physical state estimation.

The invention discloses an NRCS determination method for a Ku wave band scatterometer under a rainfall condition, and relates to the field of satellite ocean remote sensing and meteorological detection.The method comprises the steps that the action mechanism of rainfall on radar signals in the atmosphere is considered, and a sea surface radar back scattering theoretical model is constructed based on a wind-generated sea surface wave spectrum and a dual-scale Bragg scattering theory; obtaining a rainfall attenuation coefficient, a normalized radar backscattering cross section contributed by raindrop scattering and dual-polarization normalized radar backscattering cross sections of a C wave band and a Ku wave band based on a sea surface radar backscattering theoretical model; according to the rainfall attenuation coefficient, the normalized radar backscattering cross section contributed by raindrop scattering and the dual-polarization normalized radar backscattering cross sections of the C wave band and the Ku wave band, the normalized radar backscattering cross section of the Ku wave band scatterometer under the rainfall condition is obtained; according to the method, the accurate normalized radar back scattering cross section of the Ku wave band scatterometer is obtained under the rainfall condition.