193 results about "Rainout" patented technology

The application relates to the technical field of aerosol measurement, and discloses an experimental device for studying the removal of atmospheric particulates by rainfall, which comprises an aerosol generating system 1, a droplet collecting device 2, an aerosol chamber 3, a droplet falling chamber 4 and a droplet generating system 5; the aerosol chamber 3 is used for measuring aerosol parameters; the aerosol generating system 1 is used for generating monodisperse aerosol particles with different particle sizes for the aerosol chamber 3; the droplet collecting device 2 is used for collecting droplets after reaction with aerosols; the droplet falling chamber 4 is used for measuring free falling of droplets and droplet parameters; the droplet generating system 5 is connected above the droplet falling chamber 4 and is used for generating monodisperse charged droplets. The application can simulate the collection experiment of different size raindrops on different particle size sections of aerosols by adjusting different raindrop and aerosol parameters, the generated aerosols have higher monodispersity, and experimental errors are reduced.

The application discloses a kind of substation flood intelligent monitoring method and system, it is related to electric power system safety monitoring field.The method is by building the multi-dimensional influence factor library including the bottom elevation of discharge port and pipe network permeation loss, combined with rainfall forecast executes dynamic water balance deduction, deduce according to the dynamic correction soil infiltration capacity of early rainless days, and according to the effective pressure difference of water level and the bottom of discharge port calculates net drainage capacity;Based on the deduction result, water level height field is generated by combining three-dimensional digital model for waterlogging overflow distribution;According to water level height field and equipment elevation, determine the flooding risk, and generate dispatching instruction by taking water center as target and combining prohibited operation area to optimize equipment layout coordinates;Through man-machine interaction correction parameter and trigger GPU acceleration recalculation to realize model online evolution.The application realizes the physical mechanism simulation and space intelligent scheduling under the microscale of substation, changes passive alarm into active risk deduction.

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.

This application discloses a multimodal rain-sensing wiper system for vehicles, comprising: a multimodal sensing module that collects first sensing data characterizing the state of rainwater on the glass surface and second sensing data characterizing the motion state of raindrops in the air; an intelligent control module that fuses the two types of data to generate a fused rainfall feature value and generates a wiping mode command accordingly; and a low-noise execution module composed of vibration-damping composite material and a buffer device that executes the wiping action and suppresses noise. This application solves the problem of low recognition accuracy of a single sensor by fusing optical and radar sensing data from different sources, achieving accurate determination of rainfall intensity; simultaneously, it utilizes the damping properties of the composite material and the buffer device to reduce noise from both the vibration source and the transmission path. Compared with existing technologies, this application improves rainfall detection accuracy and controls operating noise at a low level, significantly improving driving safety and comfort.

This invention discloses a geological disaster rainfall monitoring and early warning device, belonging to the field of geological disaster monitoring technology. It includes a liquid level sensor, a water pump, a motor, and a base plate. The base plate is slidably fitted onto the lower end of a square rod, and multiple first anchor rods are inserted and installed on the base plate. A cylinder is fixed to the top of the square rod, and an upper rod body is fixed to the upper end of the cylinder. A rotating wheel and a bevel gear ring are rotatably mounted on the cylinder, and the bevel gear ring is fixedly installed to the bottom surface of the rotating wheel. Two lead screws are symmetrically rotatably mounted on the side of the square rod near the top. The top ends of the lead screws mesh with the bevel gear ring for transmission. This invention enables convenient rainfall monitoring and allows for adjustment of its installation height as needed. After installation, it can better cope with severe weather such as strong winds and heavy rains, ensuring that the device can safely and stably monitor rainfall. Furthermore, it allows for convenient cleaning of photovoltaic panels, ensuring their high power generation efficiency.

This invention discloses a short-term intelligent numerical weather prediction method and system based on environmental perception, belonging to the field of meteorological management technology. The system includes a data acquisition and fusion module, an intelligent zoning and feature mining module, a short-term forecasting and risk assessment module, and a visualization and focusing module. The data acquisition and fusion module collects and fuses environmental data from meteorological radar and weather stations, as well as GIS maps. The intelligent zoning and feature mining module divides the data into grids based on the GIS map, analyzes the rainfall synergy between grids based on historical environmental data to construct analysis groups, and selects and constructs an impact set for each analysis group. The short-term forecasting and risk assessment module fits near-term precipitation intensity relationships and short-term precipitation intensity relationships based on the impact sets of each analysis group. The visualization and focusing module calculates and outputs the near-term and short-term predicted precipitation intensities for each analysis group based on the relationships, identifies key areas of concern using topographic and hydrological models, and enhances visualization.

The application discloses a landslide danger assessment method under rainfall conditions and relates to the technical field of landslide disaster early warning, and comprises the following steps: a multi-source sensing monitoring network is constructed, surface deformation data, deep state data and environmental parameter data of a landslide body are collected in real time, based on the data monitored by the multi-source sensing monitoring network, an abnormality detection algorithm is used to identify precursor events before landslides, and the precursor events are classified into micro-disturbance events, significant abnormality events, pre-landslide precursor events and landslide occurrence events. According to the application, a segmented state transition equation is constructed based on the three-stage theory of creep, the initial creep, constant-speed creep and accelerated creep stages are automatically identified by means of the stability coefficient and displacement acceleration, and evolution modes such as exponential decay, rainfall driving and exponential growth are respectively adopted, so that the whole process from rainfall infiltration to instability can be accurately described, and the early warning accuracy is improved.

This invention relates to a method, device, and medium for intelligent assisted driving instability early warning of vehicles in windy and rainy conditions. The method involves collecting rainfall intensity, crosswind speed, and vehicle driving state parameters; querying a CFD wind-rain coupled aerodynamic load database to obtain corresponding aerodynamic six-component force data; inputting the aerodynamic six-component force data as external disturbances into the vehicle's multibody dynamics model, simulating and outputting vehicle state response parameters; calculating environmental impact parameters based on rainfall intensity and crosswind speed, and dynamically correcting the preset normal thresholds of various instability indicators based on these environmental impact parameters to obtain dynamic instability thresholds under windy and rainy conditions; assigning weights to various instability indicators according to the vehicle's current driving conditions, and calculating a comprehensive instability index based on the vehicle state response parameters and dynamic instability thresholds; determining the instability level based on the comprehensive instability index and calculating the remaining stabilization time. Compared with existing technologies, this invention has advantages such as high accuracy, strong adaptability, and good real-time performance.

This invention relates to the field of mine geological disaster control and geotechnical engineering testing technology, and particularly to a device and method for simulating and testing the seepage and particle migration of glacial till under rainfall conditions. The device includes a rainfall simulation mechanism, a glacial till seepage simulation mechanism, a seepage monitoring system, and a migration and seepage monitoring system. The glacial till seepage simulation mechanism includes a cylinder, and the monitoring end of the seepage monitoring system is located inside the cylinder. By setting up a rainfall simulation mechanism and a cylinder, and placing the monitoring end of the seepage monitoring system inside the cylinder, this invention allows the seepage monitoring system to monitor the seepage and moisture content changes of glacial till samples at different depths in real time. The migration and seepage monitoring system collects infiltrated water and migrating fine particles, enabling researchers to determine the rainwater infiltration situation of this type of glacial till sample and the migration pattern of fine particles under infiltration conditions based on the amount of water and fine particles collected by the migration and seepage monitoring system.

The application discloses a kind of disaster-causing rainstorm space-time characteristic quantitative description method, comprising: obtaining the time series rainfall grid data and basic geographic environment data of target area;Based on time series rainfall data, space-time clustering analysis is carried out, and the storm object and its physical properties are extracted every time;Establish the correlation of adjacent time storm object, construct storm evolution track, and calculate space-time evolution characteristics;Based on storm object and storm evolution track, combined with basic geographic environment data, calculate storm-environment coupling disaster-causing characteristics;Output disaster-causing rainstorm space-time characteristic vector containing physical properties, space-time evolution characteristics and storm-environment coupling disaster-causing characteristics.The application realizes the leap from static statistical description to dynamic disaster-causing mechanism coupling by constructing space-time evolution vector field and storm-river topological parameters, effectively improves the accuracy of disaster warning.

The application provides a full-layer turbulence inversion method based on spectrum fusion of a laser radar and a millimeter wave radar, wherein observation data of equipment in a same observation area are acquired; then, cloud micro-physical phase state recognition is performed, and liquid cloud areas, ice crystal / snow areas, rainfall areas and supercooled water areas are divided; the particle falling speed is set as zero in the supercooled water area as a strong physical priori; a dual-wavelength speed consistency criterion is introduced, the speed responses of the laser radar and the millimeter wave radar are compared at a same height layer, and an anchor point mode, a deviation correction mode or a model rollback mode is dynamically switched, so that the physical coupling of air vertical movement and particle sedimentation movement is realized; on this basis, the second-order structure function method is applied to invert the full-layer turbulence dissipation rate based on the decoupled air vertical speed time sequence. The application can invert the real full-height-layer turbulence dissipation rate, and is suitable for all-weather, full-height-layer and especially high-precision wind field and turbulence monitoring under complex cloud and precipitation conditions.

The application provides a visual device for simulating rainfall scouring of a slope under earthquake conditions, comprising: a vibration table for providing a vibration signal to simulate ground motion characteristics under earthquake action; an adjusting mechanism placed on the vibration table for providing different slope angles; a model box placed on the adjusting mechanism, the model box comprising an open-top box body with transparent side walls, which carries a slope model; a rainfall simulation assembly arranged at the open end of the top of the model box for simulating a natural rainfall environment; and a data acquisition and processing unit for collecting real-time change information inside and outside the slope model during the experiment, and analyzing response rules and instability evolution processes of the slope model under rainfall and / or earthquake action according to the collected data. The device has high structural integration, perfect functions, is suitable for slope response simulation under the coupling action of earthquake and rainfall, and has good visual effect and application promotion value.

This application relates to the field of vehicle technology and discloses a windshield wiper control method, device, and computer-readable storage medium. The method includes: acquiring a piezoelectric signal within a preset time interval, the piezoelectric signal being generated by a piezoelectric sensor mounted on the vehicle body; calculating the current energy value of the piezoelectric signal, and determining a suspected rain scenario if the current energy value is greater than a preset energy value threshold; calculating multiple rainfall characteristic values ​​for the suspected rain scenario based on the piezoelectric signal, and determining a rain scenario based on at least one rainfall characteristic value; calculating the rainfall intensity for the rain scenario based on the multiple rainfall characteristic values, and controlling the wiper motor to rotate based on the rainfall intensity. By applying the technical solution of this application, the acquired piezoelectric signal is less susceptible to environmental factors, and the rain scenario can be accurately determined based on the rainfall characteristic values ​​calculated from the piezoelectric signal, thereby improving the accuracy of windshield wiper control.

This invention relates to the field of railway bridge pier maintenance technology, specifically a smart maintenance system for high-speed railway bridge piers. It includes two symmetrically locked, arc-shaped support frames on the upper arc-shaped structure of the pier. Each support arc-shaped support frame is connected to a spraying component. Locking components are provided on the sides of the support arc-shaped support frames corresponding to the pier for securing them to the pier. This system can perform comprehensive spraying maintenance on bridge piers of different models. Simultaneously, the locking components in this system can stably lock the support arc-shaped support frames to the arc-shaped structure at the upper end of the pier and its top connecting protrusion, thus preventing the spraying pipes from loosening. The system can automatically control the system to perform timed spraying maintenance on the bridge piers through a central control module. A humidity sensor can determine whether it is raining; spraying maintenance will not be performed during rainy weather, and spraying maintenance will stop if rainfall occurs during the spraying process.

This utility model provides an adjustable-angle rain lintel and carbon dioxide adsorption box, relating to carbon dioxide adsorption equipment. The rain lintel includes: a mesh plate having multiple continuous air inlet zones; multiple rain lintel units, each rain lintel unit including multiple stacked baffles and a first connecting rod, each baffle being rotatably connected to the mesh plate at the end near the air inlet zone and rotatably connected to the first connecting rod at the end away from the air inlet zone, forming an air inlet channel between adjacent baffles; and a linear drive mechanism for driving the first connecting rod of each rain lintel unit to move, thereby rotating the baffles of each rain lintel unit. The beneficial effects of this utility model are: under conditions of no sandstorms and no rainfall, airflow with a set direction is delivered to the mesh plate through the air inlet channel, meeting the airflow requirements for gas adsorption operations on the outlet side of the mesh plate; under severe conditions of sandstorms or rainfall, completely blocking the air inlet side of the mesh plate can effectively prevent sandstorms and rainwater from entering the interior.

This invention relates to the field of rainfall measurement technology, and particularly to a method for optimizing rain gauge location based on rainfall analysis. The invention divides all rain gauges into several rainfall sub-regions based on whether rainfall occurred at all stations during the same time period, and whether it was light or heavy rain. Rain gauges within each sub-region share strong rainfall commonalities. For rain gauges with the same rainfall commonalities, a neural network model is used to fit the rules between coordinate changes and rainfall changes. This neural network model can calculate rainfall in areas where no rain gauges are located. Then, using the arithmetic progression of rainfall from adjacent rain gauges as the optimization objective, a particle swarm optimization algorithm is used to adjust the location of rain gauges within each region. Because the adjustment is based on the existing conditions, it ensures reasonable rain gauge distribution and coverage while capturing as much varied rainfall as possible, significantly improving the accuracy of rainfall measurement within the region.

This utility model relates to the field of drainage facility technology and is a drainage interception ditch for underground structures. It includes a drainage ditch frame with multiple baffles movably inserted inside. A pair of drainage channels are formed on the top of each baffle, and an adjustment channel is formed on the inner wall of the drainage channel. A pair of adjustment plates are movably inserted inside the adjustment channel. In use, the distance between the pair of adjustment plates can be adjusted by adjusting the depth of the adjustment plates into the drainage channel, thereby adjusting the size of the water inlet space for rainwater to enter the drainage channel. This allows personnel to adjust the size of the drainage mechanism according to the drainage volume, ensuring that no garbage or other debris enters the ditch during sunny days. Furthermore, it prevents rainwater accumulation and backflow flooding in low-lying areas during heavy rain due to the drainage mechanism being too small and the drainage speed lagging behind the rainfall intensity. During drainage, a clearing plate can be used to clear any foreign objects accumulated in the drainage channel, ensuring that external rainwater smoothly enters the drainage ditch frame.

The present application relates to the technical field of slope protection, in particular to a method and system for analyzing the stability of a dump rock mass slope under flood discharge atomization, comprising collecting meteorological data and topographic data of a flood discharge area to determine the potential influence area range of flood discharge atomization; based on the potential influence area range, calculating the water droplet rainfall intensity contribution value at different positions in the area; combining the actual rainfall intensity with the physical and mechanical parameters of the dump rock mass slope to analyze the influence degree of rainfall on the strength parameters of the slope rock-soil mass; and based on the stability evaluation model, calculating the safety factor of the dump rock mass slope under different flood discharge conditions. By establishing the mapping relationship between the stability evaluation model and the flood discharge condition, the present application can accurately calculate the slope safety factor under different flood discharge flow rates, flood discharge durations and atomization influence ranges, so that engineering designers can make reasonable decisions under different conditions and ensure the effectiveness of slope protection measures.

The application provides a kind of urban rainwater system scheduling method and device considering train effect, related to rainwater system scheduling technical field, the dynamic drainage capacity of urban rainwater system is comprehensively evaluated, and according to the characteristic parameters of train effect rainfall event, pre-emptying capacity is calculated in advance, and then adaptive system scheduling instruction is dynamically generated, which can effectively break the paralysis dilemma caused by hydraulic correlation accumulation when traditional rainwater system faces high frequency, short interval strong convective weather, greatly improving the comprehensive resilience of urban flood control system to train effect.

The application discloses a kind of short-acting rain prediction methods of fusing satellite cloud picture and radar echo, it is related to short-acting rain weather prediction field, the specific steps of this method are as follows: synchronous acquisition preprocessed satellite cloud picture and radar echo data, respectively with symmetric time series deep learning architecture extraction feature, generate dimension alignment's rainfall probability discrete distribution;Unified distribution is obtained by double mode confrontation fusion;Probability confidence calibration is carried out, and the distribution of confidence interval is generated;According to magnitude interval mapping, the output different magnitude rainfall probability and confidence interval are calculated, and the grid point prediction is completed;The application adopts symmetric time series deep learning architecture to process multi-modal data, realizes macroscopic and microscopic collaborative representation, improves the completeness and consistency of rainfall probability generation;Combined with historical sample calibration deviation, the original logic and features are retained, and the standardized grid point prediction results are output;Optimize each link in whole process, so that the prediction result is more in line with the actual, and the business adaptability and application value are improved.

This invention discloses a collaborative adaptive scheduling method for pumping stations and sluice gates based on multi-source data, belonging to the field of smart water conservancy automation control technology. The method includes the following steps: pre-extraction of situational feature parameters, including real-time collection of meteorological and rainfall forecast data, upstream water level, downstream water level, inflow into the reservoir and river, equipment operating status data, and downstream water demand commands; and construction of a comprehensive evaluation function S. This invention significantly improves the predictability and timeliness of flood control scheduling, effectively avoiding flood risks caused by sudden hydrological events. Furthermore, by setting a smoothness penalty term and a stability constraint on the actuator in the objective function, it achieves gradual adjustment of gates and pumping stations, completely solving problems such as water hammer effect and river scouring damage caused by excessively rapid actions in traditional control, ensuring the stability of water flow and the service life of water conservancy facilities.

This invention provides a portable wastewater detection device for atmospheric precipitation, relating to the field of wastewater detection technology. It includes a water collection mechanism with a filtration mechanism and a detection mechanism installed within it. The water collection mechanism collects rainfall, while the filtration mechanism filters impurities from the rainfall. The water collection mechanism includes a collection cylinder with a top cover plate fixed to its upper end. The purpose of this technical solution is to: move the push-pull handle up and down along a second sliding groove, which, via a transmission rod, drives a mounting bracket to move horizontally along the groove. The mounting bracket then moves a pH detector above the top cover plate, enabling the detection of the pH value in the rainfall. After filtration, the rainfall is limited by an upper limit ring and falls into the collection plate. An evaporation heater is activated to heat the rainfall within the collection plate, causing it to evaporate and be detected by a metal detector.

The present application belongs to the technical field of hydrological and meteorological monitoring, and particularly relates to a regional rainfall monitoring method and system based on environmental neutron flux. By monitoring the environmental neutron flux, the rainfall intensity under the time change rate of the current environmental neutron flux is determined by using the relationship between the rainfall intensity and the time change rate of the environmental neutron flux, thereby avoiding the hysteresis problem of the traditional indirect inversion through soil moisture, realizing the rapid and direct monitoring of the rainfall intensity, and realizing the high-precision seamless rainfall monitoring of a large-area region through sparse station distribution, greatly reducing the construction and operation and maintenance costs, and realizing the continuous monitoring of the regional rainfall with a spatial resolution of hundreds of meters and a time resolution of 1 minute, thereby greatly improving the spatial and temporal resolution of the rainfall monitoring.

The application discloses a rain event detection and energy efficiency control alarm system based on edge side deviation analysis, and belongs to the technical field of alarm systems. The system comprises a first environment signal collector, a second environment signal collector, a dynamic background reference model, a statistical anomaly analysis and physical characteristic analysis unit, a historical event library, and a three-stage energy efficiency scheduling mechanism. When the first environment signal meets a wake-up threshold, the second environment signal is collected to generate a cooperative trigger collection signal. The dynamic background reference model is called to process the cooperative trigger collection signal to generate a dynamic background fusion signal. The cooperative trigger collection signal and the dynamic background fusion signal are subjected to statistical anomaly analysis and physical characteristic analysis to generate a deviation index. The historical event library is called to calibrate the deviation index to generate a current detection confidence, which drives the three-stage energy efficiency scheduling mechanism to switch modes. The alarm decision method adopts cooperative collection, fusion statistical deviation and physical recovery characteristics for deviation analysis, and combines the historical event library for confidence calibration, so that the rain event alarm with high precision and low false alarm can be realized, and the energy efficiency of the system is optimized.

This application relates to the field of geotechnical engineering technology, specifically disclosing a tailings testing system and a tailings testing method. The tailings testing system includes: a tailings simulation device comprising at least three layers arranged vertically in sequence; an environmental simulation control device for applying time-series superimposed freeze-thaw cycle loads and rainfall infiltration loads to the tailings simulation device; and a detection device comprising a mechanical detection module, a heat-water-phase change detection module, and a chemical detection module. The mechanical detection module is located outside the tailings simulation device and is used to collect mechanical response data of the tailings simulation device. The heat-water-phase change detection module is embedded within the layered structure and is used to collect temperature data, pore water pressure data, and ice-water phase change data of the layered structure under freeze-thaw cycle loads and rainfall infiltration loads. The chemical detection module is located at the bottom of the tailings simulation device and is used to collect chemical characteristic data of the leachate after filtration through at least three layers of the layered structure.

The present application relates to the technical field of hydrology and water environment, and discloses a target runoff pollutant load prediction method, device, equipment and medium, the target runoff pollutant load prediction method comprising: identifying a rainfall event according to meteorological data, determining a pollution migration coupling driving index according to rainfall and peak rainfall intensity; determining a relative index according to the pollution migration coupling driving index and a benchmark index; determining a grading response factor according to the relationship between the relative index and a preset grading threshold, correcting a preset pollutant migration parameter using the grading response factor, predicting runoff pollution using the target pollutant migration parameter of the rainfall event and rainfall, and determining the target runoff pollutant load according to the runoff flow and pollutant concentration prediction value of the rainfall event. The present application improves the adaptability and accuracy of the preset pollutant migration parameter by correcting the preset pollutant migration parameter, thereby improving the accuracy of the target runoff pollutant load.

The application discloses a kind of microwave rain measurement dynamic reference signal adaptive determination method and device based on deep learning, first synchronous acquisition microwave link's received signal strength and equipment state parameter;Based on historical rain-free period data, train the LSTM time series prediction model of fusion equipment state characteristics, establish the mapping relationship of signal period law and equipment state;Through real-time calculation residual sequence of predicted signal and observation signal, combined with equipment state parameter mutation monitoring, realize the collaborative diagnosis and identification of equipment state anomaly;Based on the identification result driving dual abnormality rejection mechanism, comprehensively utilize event window rejection and isolated forest algorithm to generate high-quality effective data set;Through the double-mode strategy of conventional gradual updating and mutation response recalibration, dynamically maintain prediction model parameters and synthesize optimal reference signal;Finally output dynamic reference signal that can adapt to equipment aging, environmental change and sudden interference, provide stable reference for long-term reliable rainfall attenuation calculation.

This invention discloses a method, apparatus, device, and storage medium for intelligent rainfall correction. The method includes: spatiotemporal matching and normalization of X-band phased array radar reflectivity data and meteorological grid real-time data to construct sample pairs; using a dual-branch network to extract features from the two types of data respectively, and strengthening key areas by introducing an attention mechanism; using a downsampling attention module to extract multi-scale spatial features, and then using a cross-modal residual embedding module to achieve deep fusion of local texture features of radar data and global physical features of meteorological data; using an enhanced upsampling channel attention module to progressively upsample the fused features to restore resolution, and combining skip connections and feature alignment, using channel attention to adaptively adjust information at each scale to optimize detail reconstruction. Finally, the constructed samples are used to train the network to obtain an intelligent rainfall data correction model, thereby improving the accuracy and reliability of correcting meteorological grid real-time data.

This invention discloses a disaster early warning method and system for overseas crude oil pipeline systems, belonging to the field of pipeline safety technology. The disaster early warning method for overseas crude oil pipeline systems includes constructing an equivalent sand table model and conducting experiments based on the sand table model. By acquiring the target components and attributes of the crude oil pipeline system, an equivalent sand table model corresponding to the crude oil pipeline system is constructed. Rainfall simulation experiments are then conducted based on the equivalent sand table model, simulating rainfall events of different intensities and durations to assess the pipeline's integrity under various heavy rainfall conditions, i.e., evaluating the disaster resistance capability of the crude oil pipeline system. When the evaluation result is low, corresponding early warning information is generated. This addresses the problem of current early warning methods relying too heavily on disaster data and lacking predictability, improving the reliability and accuracy of the evaluation results.

A vehicle having a road-surface rendering function includes a light projection member, a rain detection member, and a control unit. The light projection member is configured to perform light projection for road-surface rendering in the vehicle that is traveling and to render a road-surface rendered image onto a road surface surrounding the vehicle that is traveling. The rain detection member is configured to perform detection of rain or a rain-associated state in the vehicle. The control unit is configured to control the light projection for the road-surface rendering by the light projection member in accordance with the detection by the rain detection member. The control unit is configured to determine that the rain is falling and suppress the light projection for the road-surface rendered image from the light projection member when the rain detection member detects the rain or the rain-associated state.