83 results about "Rain intensity" patented technology

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 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 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 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 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 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 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 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 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 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.

The application relates to the technical field of water and soil simulation analysis, and discloses a slope infiltration and stability analysis method, medium and equipment. The method improves a GA model by introducing seepage characteristics and fractal theory, a new slope rainfall infiltration model is proposed, the model establishes a slope body initial water content distribution model in combination with underground water distribution, and the runoff-seepage coupling effect is taken into account to dynamically analyze the influence of slope surface water on the infiltration rate; the Mohr-Coulomb strength criterion is optimized based on the saturated zone seepage action and fractal theory, the improved infiltration model is applied to finite slope stability analysis, and the limitation that the traditional model is only applicable to infinite long slopes is broken; by comprehensively considering factors such as soil particle size characteristics, slope surface runoff, slope, rainfall intensity and underground water level, the safety factors of each point in the slope body can be accurately calculated, and the accuracy of the description of the infiltration process under the condition of heavy rainfall and the reliability of the slope stability analysis are significantly improved.

The application relates to the field of building drainage, and a kind of outer wall drainage structure comprising a support, a rotating rod, a sliding rod and a water baffle, the support is used to be connected to an outer wall, the rotating rod is rotationally connected to the support around its own axis, the sliding rod is parallel to the rotating rod, the sliding rod is slidingly connected to the support, the sliding direction of the sliding rod is perpendicular to the axis of the rotating rod, one end of the water baffle is connected to the rotating rod, the water baffle is wound out of the rotating rod, and the other end of the water baffle is connected to the sliding rod. The support is installed to the window sill position of the outer wall; in rainy days, especially in the case of heavy rainfall, pull the sliding rod to unfold the water baffle, and make the water baffle shield the lower edge of the window frame or the whole window body, the water baffle blocks part or all of the rainwater falling to the lower edge of the window frame; after the rain intensity becomes small or stops raining, rotate the rotating rod to wind the water baffle, without affecting lighting and line of sight.

The invention relates to the technical field of intelligent network connection automobile testing, in particular to a rainy day simulation control method and system for an expected function safety test of a vehicle, and the method comprises the following steps: S1, setting target rainfall intensity and a system control period; s2, acquiring a plurality of measured values in the k-th control period through a plurality of rainfall sensors arranged along the test tunnel, and acquiring a real-time water pressure value through a pressure sensor arranged in a rainfall unit; s3, determining the current average rainfall intensity based on the measured values of the plurality of rainfall sensors; s4, according to the difference between the target rainfall intensity and the current average rainfall intensity, the real-time water pressure value is fused, a composite control strategy formed by superposition of feedforward control and feedback control is adopted, and a drive control signal for a high-pressure water pump in the rainfall unit is generated; and S5, circularly executing the steps S2 to S4 until the rainy day simulation task is finished. According to the invention, accurate and stable environment conditions can be provided for SOTIF testing.

The present application relates to a kind of rainfall intensity monitoring method and system based on soil moisture data, computer program product, belong to hydro-meteorological monitoring technical field, the soil moisture time series data of each monitoring point in monitoring area are carried out the extraction of moisture increase rate characteristics, the duration of rainfall event characteristics for indicating that monitoring point appears rainfall event and the event space synchronization characteristics between each monitoring point and its adjacent monitoring point for reflecting, generate the multidimensional feature vector of each monitoring point;In response to at least one monitoring point occurs rainfall event, the multidimensional feature vector of each monitoring point is input to the inversion function for inverting the rainfall intensity of monitoring point pre-constructed, the current rainfall intensity of each corresponding monitoring point is output;Based on the current rainfall intensity of all monitoring points, call Kriging spatial interpolation algorithm, generate the current rainfall intensity distribution map of monitoring area, realize the monitoring of rainfall intensity based on particle physics principle.

This invention proposes a method for assessing driving risks by integrating an independent climate field. The method mainly consists of three parts: First, based on a three-field model of kinetic energy field, potential energy field, and behavioral field in human-vehicle-road collaboration, an independent climate field model is innovatively defined and constructed to characterize the additional driving risks caused by abrupt changes in the environmental medium. Then, by acquiring environmental information such as road surface adhesion coefficient and rainfall intensity, the risk equivalent mass of the climate field source is calculated, and the field strength distribution and attenuation function of the climate field are established based on spatial distance. Finally, the climate field is vector-superimposed with the original three fields to calculate the total driving risk field strength across the entire region. Under the premise of ensuring driving safety, the method achieves advanced warning and risk avoidance decisions for potential accident hazards based on the dynamic change trend of the total field strength. This invention does not change the internal structure of the original three-field model, but supplements the influence of meteorological and road factors on risk characterization through the principle of physical field superposition, effectively improving the safety of intelligent vehicles in complex and extreme environments.

The utility model provides an ultrasonic detection circuit for rain and water level integrated machine, provides high pressure excitation pulse signal to the transmitting and receiving integrated rain ultrasonic probe and water level ultrasonic probe, it includes a controller of providing PWM1 and PWM2 signal, still includes: half bridge inverter circuit is used to the direct current voltage VDC input to half bridge drive chip U1 is inverted into square wave voltage PowSW, voltage dividing transformer circuit produces high voltage pulse signal HvSig, excitation pulse generation circuit is used to produce high voltage excitation pulse signal TransducerSig, and is connected water level ultrasonic probe JP1 and rain ultrasonic probe JP2. Through the technical scheme provided by the utility model embodiment, two probes can be simultaneously driven through a circuit, thereby realizing the detection of rain and water level, through the technical scheme, the depth multiplexing and integration of the two are realized from the circuit structure, and the measurement of rain intensity and rain is realized by directly using the rain gauge cylinder scheme, and the volume is greatly reduced.

This invention discloses a self-feeding slope splash erosion simulation device and method. The device includes a rainfall system, a test soil trough, and a control system. The device can accurately simulate different types of rainfall conditions, such as light, moderate, and heavy rain, and can generate raindrops of different sizes during rainfall to simulate the splash erosion process of raindrops on the soil surface in natural rainfall. The size of the raindrops can be adjusted and controlled according to actual needs. The proposed atomization-sublimation technique ensures the uniformity of the entire rainfall simulation and enables accurate simulation of rainfall intensity and raindrop size. The automatic lifting system of the entire model soil trough, linked with the rainfall control, further enhances the accuracy of the simulated splash erosion effect.

This invention provides a method and system for optimizing the configuration of equipment capacity in offshore energy island systems, relating to the field of integrated offshore energy planning technology. Specifically, it includes: collecting meteorological data, load demand, and equipment parameters within an assessment period; calculating the cumulative corrosion factor corresponding to each sampling time based on the meteorological data and equipment parameters; obtaining the initial performance parameters of wind power and photovoltaic equipment; using the cumulative corrosion factor in conjunction with rainfall intensity and effective scour volume to correct the initial wind energy utilization coefficient and photovoltaic conversion efficiency, generating wind power and photovoltaic power generation; obtaining an initial configuration scheme; analyzing the power generation, energy storage charging and discharging characteristics, and load demand; and iteratively optimizing the equipment capacity configuration scheme with the goal of minimizing economic costs. This invention constructs a capacity configuration system that integrates a physical dynamic degradation mechanism, achieving accurate and reliable planning of the equipment capacity of offshore energy islands.

The embodiment of the application is suitable for the field of computer technology, and provides a geological disaster risk prediction method and device, the method comprising: collecting meteorological and hydrological data of each point in a target area at different time points, the meteorological and hydrological data comprising: rainfall, surface runoff, air temperature, rainfall intensity; collecting geographical information of the target area; determining point features corresponding to each point based on the meteorological and hydrological data, the point features being capable of representing feedback features of the points to meteorological and hydrological conditions and change features of the feedback features over time; constructing a surface water system topology structure of the target area based on the meteorological and hydrological data and the geographical information, the surface water system topology structure being used to represent the correlation between each point in the target area; and predicting geological disaster risks of each point in the target area according to the point features and the surface water system topology structure. Through the above method, the accuracy of geological disaster risk prediction can be improved.

The invention discloses a spur dike time-varying reliability detection system and detection method under a non-constant flow condition, and relates to the technical field of spur dike safety evaluation. Comprising the following steps that spur dike block stone structure parameters and the average block stone volume are collected, and the effective gravity of block stones is calculated; calculating the area coefficient of the block stone by combining the average roughness of the surface of the block stone, and calculating the dragging force and the lifting force of the block stone based on the average bottom velocity of the water flow and the Bernoulli equation; the effective gravity and the slope angle are combined, the underwater repose angle of the block stone is calculated, and the shear stress and the stress characteristic parameters are combined to calculate a time-varying anti-sliding stability index; calculating an erosion sensitivity index based on the average bottom velocity of the water flow, the flow direction included angle and the anti-erosion strength; and finally, combining rainfall intensity, comprehensively generating a reliability coefficient, comparing the reliability coefficient with a reliability threshold, and outputting a spur dike reliability evaluation result, thereby realizing time-varying reliability detection, and improving scientificity and comprehensiveness of reliability evaluation.

The utility model provides an intelligent weighing type rainfall gauge, and belongs to the technical field of precipitation measurement. The problem that the rainfall intensity and the rainfall time period cannot be measured at the same time by a traditional rainfall meter is solved; according to the technical scheme, the weighing type rainfall sensor comprises a weighing type rainfall sensor body, the weighing type rainfall sensor body comprises a shell, the top of the shell is provided with a water bearing device, the shell is internally provided with a water measuring device, the water measuring device is communicated with the water bearing device through a water inlet pipe, the water inlet pipe is provided with a water stopping valve, and the bottom of the water measuring device is communicated with the outside through a water outlet pipe. A water stop valve is installed on the water outlet pipe, a water drain valve is installed on the water outlet pipe, a high-precision pressure sensor is installed at the bottom of the water meter, a control circuit board is further installed in the shell, the control circuit board is connected with the control ends of the water stop valve and the water drain valve through wires, and the control circuit board is further connected with the high-precision pressure sensor through a wire. The precipitation measuring device is applied to precipitation measurement.

The invention provides a meteorological and hydrological data analysis method and system based on multi-source data fusion, and relates to the technical field of data analys.The method comprises the steps that a to-be-analyzed area is divided into grids, and radar grid point rainfall intensity is calculated in combination with meteorological radar reflectivity factors and rainfall station data; correcting the soil water content by using the gradient, and calculating a grid disaster potential index in combination with historical disaster situation data; predicting a future direct runoff depth based on an LSTM model, and calculating a disaster risk index in combination with the disaster potential index; and finally, fusing the elevation change rate and the people flow density, constructing a multi-layer early warning trigger mechanism, and dynamically issuing disaster early warnings of different levels. Prediction precision is optimized through multi-source data fusion and machine learning, early recognition and graded early warning of disaster risks are achieved, scientificity and timeliness of disaster prevention and reduction decisions are improved, and the method is suitable for refined monitoring and early warning of meteorological and hydrological disasters such as urban waterlogging and mountain torrent disasters.

The embodiment of the invention is suitable for the technical field of computers, and provides a geological disaster risk prediction method and equipment, and the method comprises the steps: collecting the meteorological and hydrological data of each point location in a target region at different time points, the meteorological and hydrological data comprising rainfall, surface runoff, air temperature and rainfall intensity; collecting geographic information of the target area; based on the meteorological and hydrological data, point location features corresponding to all the point locations are determined, and the point location features can represent feedback features of the point locations on the meteorological and hydrological conditions and change features of the feedback features along with time; on the basis of the meteorological and hydrological data and the geographic information, a surface water system topological structure of the target area is constructed, and the surface water system topological structure is used for representing the incidence relation between all point locations in the target area; and according to the point location features and the surface water system topological structure, performing geological disaster risk prediction on each point location in the target area. Through the method, the accuracy of geological disaster risk prediction can be improved.

The present application relates to a kind of strong wind-flood multi-disaster under urban refuge place function loss evaluation system, belong to urban resilience and disaster prevention and mitigation technical field, wherein basic data processing module includes network open source data, topology and data processing system, for building city road network-shelter function network topology structure model and the basic data for disaster physical loss analysis;Monitoring module includes meteorological observation data, for obtaining real-time disaster intensity parameter, such as wind speed, wind direction and rain intensity parameter etc.;Calculation module includes the disaster damage analysis system for calculating the physical damage of city road network, building group and shelter component caused by strong wind and flood disaster and the function loss analysis system for calculating the function loss of city shelter caused by corresponding physical damage, the system established more accurately quantifies the function loss of city shelter under the joint action of strong wind-flood multi-disaster, considering the influence of traffic network.

The invention belongs to the technical field of dynamic evaluation methods, and particularly relates to an urban gas pipe network toughness weak link identification and dynamic evaluation method under rainstorm disasters, which comprises the following steps: data acquisition and preprocessing: collecting an urban gas pipe network topological structure, node operation attributes, maintenance records, rainstorm intensity, accumulated water distribution, foundation disturbance and historical first-aid repair response data; unifying space coordinates and timestamp formats and then integrating into a basic data set; static graph model construction: mapping pipe sections, valves and user nodes into graph nodes, mapping pipeline connection and control relations into graph edges, injection pressure, failure rate, burial depth and material attributes, and constructing an initial static pipe network graph; disturbance and evolution dynamic simulation are carried out, a rainstorm disturbance function is defined and mapped to node and edge attributes, node function states at all moments are iteratively calculated through a threshold rule and a first-aid repair recovery function, and pre-disaster, in-disaster and post-disaster dynamic graph sequences are formed.