78 results about "Sand storm" patented technology

The invention discloses a space-time sandstorm event AI forecasting method fusing satellite remote sensing and meteorological data, and relates to the technical field of atmospheric pollution prediction and artificial intelligence. In order to solve the problem that multi-source space-time sand and dust data is difficult to model efficiently in the existing method, the invention designs a sand and dust storm forecasting model DustMama based on a multi-task architecture, and aims to predict the future PM10 concentration and the occurrence condition of the sand and dust storm through the combination of satellite remote sensing and meteorological data. The DustMama is composed of a space-time encoder, a feature aggregation layer and a task specific layer. The space-time encoder is combined with the visual Mamba and the three-dimensional convolutional network, so that the space-time dependent information in the multi-source data can be efficiently extracted. The feature aggregation layer adopts a global attention module to enhance the capability of the model in cross-dimension feature interaction. And the task specific layer is based on an independent two-dimensional convolution predictor so as to realize accurate prediction of different sand and dust tasks.

The invention belongs to the technical field of meteorology, and particularly relates to a sand storm monitoring method based on aerosol window analysis and spectral indexes. Preprocessing the Himawari-8 data, and generating a raster data set including channel data, latitude and longitude information, elevation angle information and zenith angle information; a lookup table is constructed through a 6S radiation transmission model, and the optical thickness of the aerosol is inverted by using spectral information in the remote sensing image; scanning an image through a sliding window, and screening a sand storm feature region in combination with weighted average, standard deviation and abnormal judgment of aerosol concentration; establishing a sand-dust spectral index by using the sand-dust sensitive wave band; and combining the aerosol concentration with the sand and dust spectral index to extract sand and dust storm information. According to the method, the aerosol concentration and the sand dust spectral index are combined, sand dust storm information can be effectively identified and extracted, and important data support is provided for environmental protection and disaster early warning; the diversity of the sand storm detection method is increased, and the obtained result is accurate and reliable.

The invention discloses a mine underground debris flow risk quantitative analysis and evaluation method, and belongs to the technical field of metal mine disaster prevention and control. Comprising the following steps: calculating 24-hour rainfall under different rainstorm occurrence frequencies; determining a sand production critical hydraulic gradient and a sand inrush critical hydraulic gradient, and calculating a sand production water level height and a sand inrush water level height; the rainstorm infiltration amount of the upper boundary of the quaternary gravel bed under the most unfavorable working condition is calculated, and the sand production rainstorm leakage amount and the sand inrush rainstorm leakage amount of the lower boundary of the quaternary gravel bed are calculated; the leakage amount and the imbibition amount are compared, the sand production or sand inrush risk is preliminarily judged, the time needed for lifting the water level to the sand production water level height or the sand inrush water level height is calculated, and finally the sand production or sand inrush risk is judged; and analyzing the sand production and sand inrush risks under the condition of short-time heavy rainfall by adopting the same method. According to the method, underground debris flow occurrence risks under different rainfall intensities are quantitatively analyzed, a disaster triggering mechanism can be determined, critical criteria for formation of mine underground debris flow are given, and a prevention and treatment decision basis is provided.

The invention relates to the technical field of sandstorm disaster monitoring, and relates to a sandstorm flow real-time monitoring method and system under regional environment characteristics. According to the method, the soil moisture content, the soil compactness and the vegetation coverage are collected, the initial dusting wind speed threshold value is determined in combination with the real-time wind direction and the historical log, the dusting wind speed threshold value is dynamically corrected through the earth surface wind resistance deviation coefficient, and the dusting wind speed threshold value is compared with the real-time wind speed collected in the to-be-detected area to judge whether the wind sand flowing risk exists or not. When the wind sand flowing risk exists, the collected surface sand layer height change data and the real-time wind speed are subjected to coupling analysis to determine the real-time wind sand index, so that prevention and control personnel visually master the wind sand damage degree, and meanwhile, the current wind sand severity level and the wind sand flowing change trend are determined according to the real-time wind sand index; the prevention and control work is changed from passive disaster response to active prevention in advance, time is won for reinforcing protection facilities in advance and storing prevention and control materials, and the effect of effectively reducing sand storm disaster loss is achieved.

The invention discloses a sand storm prediction method based on multi-source data fusion and conditional diffusion generation, and the method comprises the steps: definitely defining a sand storm prediction task as a time-space sequence prediction problem, inputting meteorological data at a plurality of moments, and outputting sand storm change information at a plurality of moments; performing noise addition on the sand storm data according to a noise addition formula to obtain sand storm data with noise; jointly training a multi-source data noise prediction network through a satellite cloud picture at a historical moment, meteorological reanalysis data, sand storm data and a time step t; inputting the complete Gaussian noise map, the current time step tx, and the satellite cloud map, the meteorological reanalysis data and the sand storm data at the historical moment into a multi-source data noise prediction network, predicting the noise of the current noise map, and removing the noise at the current moment through a denoising formula to obtain the sand storm data with noise at the tx-1 moment; and repeating the operation until the t0 moment to obtain a prediction result. According to the invention, sand storm prediction can be accurately carried out.

The invention discloses a wind generating set risk early warning method, device and equipment in sand storm weather and a storage medium, and relates to the technical field of wind power generation, and the wind generating set risk early warning method in sand storm weather at least comprises the following steps: collecting multi-source meteorological data in a target area, judging whether a preset sand storm early warning condition is triggered or not according to the multi-source meteorological data; in response to the condition of triggering sand storm early warning, simulating the motion condition of sand and dust according to the multi-source meteorological data and the digital elevation model of the target area, and predicting to obtain sand and dust settlement distribution information in the target area; determining at least one to-be-protected generator set according to a preset wind generating set distribution diagram and the sand and dust sedimentation distribution information; and executing a protection control strategy on the to-be-protected generator set according to the multi-source meteorological data and the sand and dust settlement distribution information. The protection effect on the wind generating set in the sand storm weather is improved, and power generation output is guaranteed.

The photovoltaic power generation assembly comprises a photovoltaic panel, two sides of the top end of the photovoltaic panel are respectively and fixedly connected with a left side plate and a right side plate, and a wind-up roller is rotatably connected between the top ends of the right side plate and the left side plate. The surface of the photovoltaic panel is shielded and protected through the transparent protective curtain, when severe weather such as sand storm occurs, the motor is started and drives the take-up roller to rotate, the take-up roller can take up the traction steel wire during rotation, and the traction steel wire drives the transparent protective curtain to be released and laid on the surface of the photovoltaic panel. And when the weather is good, the motor turns over, the take-up roller transmits power to the driving chain wheel, the driving chain wheel drives the transmission chain wheel to rotate through the transmission chain, the transmission chain wheel drives the take-up roller to wind the transparent protective curtain, and the photovoltaic panel generates power with sufficient power.

The utility model relates to the technical field of box-type transformer substations, in particular to a dustproof box-type transformer substation shell which comprises a shell body, ventilation grooves are formed in the two sides of the shell body, a plurality of rotating shafts are rotationally installed in the ventilation grooves, one end of each rotating shaft and one end of a louver board are fixedly installed, a vertical groove is formed in the shell body, and the louver board is fixedly installed in the vertical groove. And the other end of the ventilation groove penetrates through the vertical groove and is provided with a worm gear, a worm meshed with the worm gear is rotationally installed in the vertical groove, and a protection assembly for protecting the worm gear and the worm is arranged in the vertical groove. According to the utility model, the worm is rotated to enable the worm gear to drive the rotating shafts to rotate, so that the louver boards can be driven to rotate, in case of heavy rain or sand storm, the louver boards rotate downwards to relatively seal the ventilation slots, so that rainwater or sand dust entering the box transformer substation can be reduced, and the plurality of rotating shafts rotate simultaneously and the louver boards rotate synchronously through the meshing of the worm and the worm gear, so that the box transformer substation is prevented from being damaged. And one-by-one adjustment is not needed.

The invention discloses a sand storm motion trail prediction method based on an SSA-EDLSTM fusion network, and relates to the field of sand storm motion trail prediction, and the method comprises the following steps: obtaining historical wind field data, terrain elevation data and historical aerosol optical thickness data of a target region; calculating a gradient and a slope direction based on terrain elevation data, and respectively constructing terrain and wind field interaction characteristics with a wind speed and a wind direction; inputting the terrain and wind field interaction characteristics and historical wind field data into an SSA-MSED network, and predicting future wind field data; inputting the future wind field data and the historical aerosol optical thickness data into the ED-ConvLSTM network to generate a future aerosol movement track; and carrying out sandstorm region detection by using a sandstorm region detection algorithm, and generating a sandstorm movement track and a visual report. According to the method, SSA-MSED and ED-ConvLSTM networks are fused, the terrain influence and sand storm time sequence characteristics are accurately captured, and the long-term prediction precision and the region detection accuracy of the sand storm motion trail are remarkably improved.

The utility model relates to the technical field of sand-dust storm simulation interaction, and provides a sand-dust storm simulation interaction device which comprises a sand-dust storm simulation interaction device body. The inner glass cover is fixedly connected to the middle position of the top end of the sand-dust explosion simulation interaction device body; the through groove is formed in the middle position of the inner top wall of the sand-dust explosion simulation interaction device body; the outer glass cover is fixedly connected to the top end of the sand-dust explosion simulation interaction device body; the spray pipes are fixedly connected to the inner bottom wall of the outer glass cover at equal angles; the controller is fixedly connected to one side of the top end of the sand-dust explosion simulation interaction device body; according to the sand-dust explosion simulation interaction device, the overall height of the sand-dust explosion simulation interaction device body can be changed by arranging the adjusting assembly and utilizing the work of a pneumatic telescopic rod, so that a higher experiencer can enter the sand-dust explosion simulation interaction device body more comfortably, the experience comfort is improved, and a replaceable anti-skid plate is utilized, so that the practicability is high. And the anti-skid stability of the sand-dust explosion simulation interaction device body is improved.

A sand storm prediction method based on multi-source data fusion and static sand source prior belongs to the technical field of sand storm prediction, and comprises the following steps: modeling a sand storm prediction task into a multi-source driven sequence generation problem, and deducing by using historical satellite cloud pictures, grouped meteorological reanalysis data and static sand source prior; through a double-branch architecture, satellite space-time features are extracted by using a three-dimensional U-Net, meteorological physical features are extracted by using a SimVP-Mama network, static prior is fused, multi-source feature alignment and fusion are realized in a bottleneck layer, and space-time evolution information of a future sand storm is output through a decoder. In addition, a level mapping loss function is introduced to optimize intensity level prediction. According to the invention, deep fusion of a physical mechanism and observation data is realized, and the accuracy of sand storm prediction is effectively improved.

Disclosed is an electric vehicle capable of being continuously charged using wind energy, comprising: an air inflow part (110) formed to allow wind to flow in during travel; a turbine (120) formed at the rear end of the air inflow part (110) and rotated by wind energy; a power generation unit (130) for generating electric power; a power source unit (140); a sensor unit (160) formed on the front surface of the electric vehicle (10) and comprising a wind velocity sensor (161) for measuring wind velocity during travel, a rainfall sensor (162) for measuring rainfall during a rainy season, a snowfall sensor (163) for measuring snowfall during snowfall, and a sandstorm sensor (164) for measuring a sandstorm; and a controller (150) electrically connecting a battery (141) and an electric motor (11) by means of an electrical system and controlling the charging of the battery (141) by the power generation unit (130), wherein the air inflow part (110) comprises an air inflow path (111) recessed at each side or the center of the lower front part of the electric vehicle (10) and an opening / closing hole (112) formed at the air inflow path (111), opening / closing same, and having an aperture structure in which multiple air-through holes are arranged, and the controller (150) analyzes each value measured by the wind velocity sensor (161), the rainfall sensor (162), the snowfall sensor (163), and the sandstorm sensor (164), so as to operate the opening / closing hole (112) and thereby regulate the airflow that flows into the air inflow path (111), and thus generate electric power using wind energy regardless of the driving environment and weather conditions, which enables continuous charging.

The invention discloses a sand barrier for preventing and controlling desertification and application, and belongs to the technical field of desertification control. The sand barrier is a grid formed by splicing a plurality of grid bodies; the lattice body is formed by splicing a plurality of building block sand barrier units; a first building block hole is formed in the top of each building block sand barrier unit and filled with soil organic matter, and psammophytes are planted in the first building block holes. A second building block hole is formed in each building block sand barrier unit, and the building block sand barrier units are spliced and fixed through the second building block holes. The device has the advantages of being simple in structure, convenient to construct, long in service life and the like, sand storm and wind power can be effectively prevented from damaging the psammophyte, and therefore safe growth and operation of the psammophyte are guaranteed.

The present application relates to sand dust collection monitoring device field, specifically to a butterfly type sandstorm concentration level flux real-time dynamic collection monitoring device, including fixed protection cylinder, centrifugal sand dust inlet, rotating sand dust separation cylinder, wind sand separation pipe, wind sand separation exhaust pipe, exhaust pipe, high mesh exhaust dust screen, stainless steel conical pipe, round pipe shaft, upper rotating bearing, wind vane indicating screw, adjustable balance hammer, butterfly type wind vane rudder, fixed wind vane screw, lower fixed bearing, upper and lower connection tower buckle, can take the weighing bottle, the sand dust collection cup is placed on high-precision weighing sensor in the protection weighing bottle cylinder, real-time weighing through the weighing transmitter, data transmission to remote display screen for storage, through data remote antenna, send to laboratory terminal real-time observation sand dust concentration change, thereby realize long-term fixed point in unattended or sandstorm specific environment obtains the collection of dust particle concentration in different height different direction unit time unit area.

The invention relates to the field of photovoltaic technology, and discloses a photovoltaic power prediction method, device and equipment under the influence of sand and dust and a storage medium, and the method comprises the steps: predicting a first dust coverage degree of a first photovoltaic module based on a dust influence factor of the first photovoltaic module and a first prediction model; determining the atmospheric transmissivity under the influence of sand and dust based on the sand and dust concentration of the target area where the first photovoltaic module is located; obtaining a first dust pollution rate based on the first dust coverage and a pre-constructed fitting relationship between the dust coverage and the dust pollution rate of the photovoltaic module; determining the target irradiance of the first photovoltaic module based on the atmospheric transmissivity, the first dust pollution rate and the solar irradiance of the target area; and predicting the target photovoltaic power of the first photovoltaic module based on the target irradiance, the first dust pollution rate, the second prediction model and the power influence factor of the first photovoltaic module. According to the invention, the problem of poor photovoltaic power prediction accuracy of the photovoltaic module under the sand storm weather can be solved.

The invention discloses a wind turbine generator converter temperature dynamic control method and system based on the sandstorm climate, and relates to the technical field of wind power plant control, and the technical scheme is characterized in that a wind speed time sequence model capable of representing the sandstorm climate characteristics is established; establishing a correlation model of the converter temperature and the output power of the wind turbine generator; and combining the wind speed time sequence model and the correlation model of the converter temperature and the output power of the wind turbine generator, establishing an objective function at the same time, performing real-time optimization solution to obtain an optimal active power reference value and an optimal reactive power reference value, and realizing accurate regulation and control on the wind turbine generator according to the optimal active power reference value and the optimal reactive power reference value. According to the method, the thermal safety margin and the operation reliability of the wind turbine generator under the extreme working condition of the sand storm can be remarkably improved, the adaptability of a wind power plant to atrocious weathers such as the sand storm is enhanced, and an efficient landing control strategy is provided for reducing the high-temperature fault rate of a converter and prolonging the service life of power electronic devices.

The utility model discloses a camera support for monitoring, which comprises a cross beam and a camera body, one side of the upper surface of the cross beam is fixedly connected with a stand column, and one side of the stand column is provided with a groove. According to the camera support used for monitoring, through the arrangement of the stand column, the groove, the lead screw, the motor and the protective cover, in the using process, the camera support is installed on an outdoor wall firstly, in the severe weather of sand storm or sand storm, the camera function can be temporarily closed, the motor is started to drive the lead screw to rotate, and the lead screw rotates in the groove; meanwhile, the movable frame can slide in the groove, so that the screw rod rotates to drive the movable frame to move downwards, the protective cover is driven to buckle the camera body, and scraping of sand wind to lens glass can be greatly reduced by utilizing the protective effect of the protective cover, so that the service life of the camera body is prolonged; and the screw rod drives the movable frame to ascend, and the protective cover is far away from the camera body.

The invention relates to the technical field of smart energy, in particular to a photovoltaic cleaning decision method and system based on time sequence feature fusion and marginal benefit optimization, and the method comprises the steps of multi-source data collection, deep reinforcement learning model construction and training, and real-time decision output. By fusing short-term weather forecast, long-term fouling laws and equipment state data, adopting GAN to complement missing data, designing an economy constraint reward function to realize dynamic cost benefit balance, and combining an edge-cloud collaborative architecture to improve real-time performance and iteration efficiency. The method can significantly reduce the cleaning frequency, improves the annual average net income, maintains high robustness in extreme weather, and is suitable for the operation and maintenance management of a large-scale photovoltaic power station in a sand storm-prone region.

The utility model discloses a device for detecting oxygen supply concentration of a plateau portable oxygen generator, which relates to the technical field of oxygen supply concentration detection of oxygen generators and comprises a shell, an oxygen detector and a breather pipe, the breather pipe and the oxygen detector are both arranged in the shell, and two ends of the breather pipe respectively extend to two sides of the shell. The detection end of the oxygen detector is arranged in the vent pipe, protection assemblies are arranged on the two sides of the shell, each protection assembly comprises a sliding rail, a first cover body and a second cover body, the sliding rails are fixedly arranged on the side portion of the shell in a vertical state, and the first cover bodies and the second cover bodies are connected with the sliding rails in a sliding fit mode; the side portion of the first cover body and the side portion of the second cover body are each provided with a containing groove matched with the end portion of the ventilation pipe. Through the cooperation of the first cover body and the second cover body with the sliding rails and the adaptability of the storage groove and the ventilation pipe, the protection assembly can easily deal with external factors such as sand storm and impact in complex environments such as plateau. The environmental adaptability and the service life of the device are greatly improved.

This invention belongs to the field of computer vision and intelligent environmental perception technology, specifically relating to a method for anomaly detection and intensity estimation of sandstorms based on event cameras. It includes constructing and training an estimation model based on a multi-stream regression framework, and using the trained estimation model to predict sandstorm concentration. The estimation model includes an encoding module, a temporal distillation module, a cross-channel interaction module, and a regression prediction module. The encoding module includes three parallel color spectral encoders for red, blue, and green. This invention effectively overcomes the technical limitations of traditional air quality prediction methods based on RGB images, such as insufficient temporal resolution, limited dynamic information expression capabilities, and insufficient utilization of information from a single data source. It achieves high-precision estimation of air particulate matter concentration and maintains good robustness and adaptability even under complex environmental conditions.

A method for calculating stress exerted on a power transmission line by dust particles during a sandstorm, comprising the following steps: S1: obtaining a probability alpha of collision between dust particles and the power transmission line during a sandstorm based on a volume occupied by the power transmission line in space; S2: simulating a process of collision between a single dust particle and the power transmission line during a sandstorm based on an elastic collision model and a particle motion equation; S3: obtaining an acting force exerted on the power transmission line by the single dust particle from the simulation of the collision between the single dust particle and the power transmission line; and S4: obtaining a stress exerted on the power transmission line by the dust particles based on the acting force exerted on the power transmission line by the single dust particle, a dust particle mass concentration c, and the probability alpha of collision between the dust particles and the power transmission line.

The invention discloses a sand storm intelligent prediction method based on multi-agent reinforcement learning. The method comprises the following steps: collecting multi-site meteorological and remote sensing data of a monitoring area and carrying out standardization processing; constructing a training sample data set; constructing a Q value hybrid network, respectively estimating local Q values of monitoring stations through individual Q networks, and obtaining a joint Q value by using nonlinear monotonic fusion of a global hybrid network; optimizing network parameters by adopting a value updating method of reinforcement learning; and inputting real-time standardized data to the optimization network to obtain a joint prediction result of the opportunity, the influence range and the severity of the sand storm event, and providing an intelligent decision basis. According to the invention, the time-space cooperation precision and reliability of sand storm prediction are improved.

A method for cleaning and folding photovoltaic panel assemblies. Existing photovoltaic panel assemblies are mostly in an unfoldable state after being mounted on a fixed frame. In windy and dusty weather, the unfoldable state of the photovoltaic panel assemblies can easily cause problems such as sand and dust in the strong wind scratching the top coating of the photovoltaic panel. The present invention includes the following steps: when impurities on the top of the photovoltaic panel body need to be cleaned, a suction fan is activated, which drives airflow, thereby causing the airflow to enter the ventilation cavity and be discharged through the exhaust port. When the airflow is ejected, a portion of the surface of the photovoltaic panel body is further cleaned. The present invention is used for cleaning and folding photovoltaic panel assemblies.

The present invention discloses a method for improving the resilience of a new energy power grid under sandstorm weather, which belongs to the field of safe operation of new energy power grids, and includes the following steps: S1, constructing a new energy power grid model; S2, based on the new energy power grid model, constructing a new energy power grid impact model under sandstorm weather; S3, formulating a resilience improvement strategy based on the new energy power grid impact model under sandstorm weather, the objective function of the resilience improvement strategy is to build a model with the maximum load increase and total photovoltaic power generation output as the target, and the constraints are: energy storage equipment constraint, unit output constraint, node power balance constraint, branch flow constraint, maintenance constraint and cleaning constraint. The above-mentioned method for improving the resilience of a new energy power grid under sandstorm weather can effectively reduce the system load reduction under the influence of sandstorms, accelerate the system recovery process, and enhance the ability of the power system to resist sandstorms.

The present invention discloses a sandstorm weather prediction method, system, device, and medium based on generative AI, relating to the technical field of sandstorm prediction. The method comprises: constructing an MM-DDPM model, and using the MM-DDPM model to jointly encode the correlation between meteorological elements and sandstorm labels in a sandstorm dataset to generate sandstorm enhancement samples; using the sandstorm enhancement samples to perform parameter tuning on a pre-trained meteorological large model to obtain a trained sandstorm prediction model, and using the sandstorm prediction model to perform weather prediction to obtain a sandstorm prediction result; the sandstorm prediction result includes the occurrence time, duration, and spatial distribution of the sandstorm event; the pre-trained meteorological large model is constructed based on the Fengwu model and the sandstorm fitting layer. The present invention can break through the limitations of existing technologies in data scarcity and imbalance by generating reliable sandstorm data samples, thereby improving the accuracy and stability of sandstorm predictions.

The utility model discloses a connecting port rapid replacing device of a charging connector, and belongs to the technical field of charging connectors. Comprising a charging head with pins, and a connecting line is connected with a charging head circuit; the charging head is provided with a plurality of circumferentially distributed connecting ports, the sealing plate is rotatably connected with the charging head, and all the connecting ports are located in the sealing plate; the sealing plate is fixedly connected with a fixing cylinder corresponding to the connecting port, and the fixing cylinder is provided with an elastic sliding assembly. The end portion of the elastic sliding assembly is fixedly connected with a contact which penetrates through the sealing plate to be inserted into the connecting port, and the contact is in circuit connection with the connecting line. The rotary sealing plate is arranged, all the connecting ports can be sealed, the connecting ports can be rapidly replaced, and in the replacing process, the connecting ports are prevented from being polluted by external sand storm and dust.

The utility model discloses a wind-sand-proof cover for an aircraft engine, which belongs to the technical field of wind-sand-proof covers and is characterized by comprising an aircraft engine body, the outer wall of the aircraft engine body is sleeved with a stabilizing structure, and the inner wall of the stabilizing structure is bolted with a protective structure. The outer side of the protection structure is fixedly connected with an auxiliary structure, the inner wall of the mounting frame is fixedly connected with the outer wall of a mesh cloth block, the inner wall of the mounting piece is fixedly connected with the outer wall of a film block, and the inner wall of the connecting piece is fixedly connected with the outer wall of a filter block. Especially in frequent sand storm or desert and dry areas, an engine air inlet system of an airplane easily sucks sand and dust and particulate matters in air, the sand and dust particles contain fine sand and soil particles, and the particulate matters not only damage precise parts in an engine, but also possibly cause reduction of the efficiency of the engine.

The invention discloses a method for improving sand and dust numerical forecasting through assimilation-aerosol-cloud-radiation, and the method comprises the steps: building a sand and dust storm forecasting mode, calculating sand and dust optical parameters based on a spherical particle extinction theory, and achieving the bidirectional feedback of sand and dust to weather; a sand and dust aerosol-cloud interaction ice nucleus nucleation mechanism is given, a sand and dust CCN type aerosol homogeneous freezing process is realized, a radiation variable temperature rate is calculated and fed back to a weather mode power process, and bidirectional feedback of weather-driven sand and dust and influence of sand and dust on weather is formed; constructing an ensemble forecasting module, performing time and space related disturbance on a meteorological initial field, a boundary condition and an aerosol initial concentration, and performing ensemble forecasting after a mode is input; and establishing an ensemble assimilation analysis correction module, constructing a background error covariance matrix by utilizing mode ensemble forecasting, disturbing observation at an analysis moment, and assimilating and correcting the initial concentration of the mode aerosol based on a localized ensemble Kalman filtering method to obtain a forecasting result.

The utility model relates to fixed base technology field, concretely relates to a fixed base for water conservancy engineering surveying and mapping instrument, including surveying and mapping instrument main part, still including support seat, the lower end annular array of support seat is fixed with a plurality of support legs, the support seat sliding connection has the lifting ring, and the lifting ring is connected with the support seat sliding penetration, the upper end fixed connection of lifting ring has the article board for supporting surveying and mapping instrument main part. The utility model support seat upper end sets up the protective housing, and its inboard is connected the protection cover through telescopic curved link and curved spring, when operating, instrument rises to the upper of protective housing, and the protection cover is jacked and opens automatically, satisfies the surveying and mapping demand of different height, after operating, instrument drops to the shell, does not need manual dismounting or additional covering, and the operation is convenient and protects in time, forms the totally enclosed protective space, effectively blocks the rain and snow, sand, the sun exposure such as natural erosion, avoids the aging damage of instrument spare part because of long -term exposure, prolongs the service life of equipment.

The present invention relates to a sandstorm simulation generator, which includes a sand hopper with a hinged small door fixed on a support I, an adjustable sand amount device placed at the bottom of the sand hopper, and a box structure placed below the adjustable sand amount device. An internally detachable screen is provided in the upper middle part of the sand hopper; the adjustable sand amount device includes a support II, a handle, and a sand amount control slide plate; a rotating shaft is provided in the middle of the support II, and one end of the rotating shaft is connected to the handle; sliding sleeves are respectively provided on both sides of the top of the support II, and a sand amount control slide plate is horizontally placed in the sliding sleeves; a pair of rotating rollers are symmetrically provided on both sides of the rotating shaft, and the rotating rollers are in contact with the sand amount control slide plate; sliding holes are provided on both sides of the sand amount control slide plate, and the sliding holes are connected to the sliding sleeves; multiple rows of different forms of sand leakage holes or sand leakage grooves are provided on the sand amount control slide plate. The present invention is simple to operate and accurate in testing, and can meet the test requirements of various sand dust tests and anti-wind sand stress tests.