30 results about "Overcast" patented technology

An intelligent identification and early warning method for abnormal events in an open scene in the power field based on edge calculation compresses and transplants an improved SSD target detection model to a mobile terminal, gives full play to the advantages of the edge calculation, and takes an Android terminal as an optimal scheme through experiments. According to the method, the Conv4 _ x feature layer and the Conv5 _ x feature layer in the VGG16 network are fused, and then the fused feature layer directly acts on the final prediction layer, so that the accuracy of small target detection isimproved; meanwhile, various basic weather conditions such as sunny days, cloudy days, rainy days and foggy days are summarized, and the image enhancement technology is used for increasing training data under different scenes, so that the generalization ability of the model is improved.

The invention provides a modeling simulation method and system for a satellite time-varying channel. A rain attenuation module and a Loo module are combined to serve as transfer states of markov to simulate a time-varying satellite channel simulation system considering weather state changes. A sunny module and a cloudy module adopt Loo models, and realize the simulation of sunny days and cloudy days by adjusting the receiving power obeying Rayleigh distribution of the Doppler frequency spectrum and the Lognormal distribution obeying the Doppler frequency spectrum according to the specific conditions of the sunny module and the cloudy module. During rain attenuation modeling, statistical parameters of a random process are fitted through long-term rain attenuation data obtained through calculation of an ITU-R model and substituted into the logarithm Gaussian distribution model, so that a time-varying sequence of rain attenuation values is obtained. Because the ITU-R model can calculate the rain attenuation value of the working frequency band below 55Ghz, the system is wide in simulatable frequency range. According to the method, factors such as multipath time delay, Doppler frequencyoffset and shadow fading in the transmission process are considered, and the transmission characteristics of the satellite mobile communication channel in different weather states are accurately described.

The invention relates to a long-wave downlink radiation estimation method under cloudy days, a computer storage medium and electronic equipment, and the method comprises the steps: setting the weatherconditions of cloudy days, obtaining a simulation library through simulation according to the weather conditions, and building an estimation parameterization model based on the simulation library; acquiring the cloud top temperature, the cloud top height, the atmospheric total moisture content, the surface temperature and the surface emissivity by remote sensing; according to the cloud top temperature, the cloud top height, the atmospheric total water vapor content, the surface temperature and the surface emissivity which are obtained through remote sensing, estimating long-wave downlink radiation under cloudy days through an estimation parameterization model. According to the invention, an estimation parameterization model is established according to weather conditions; long-wave downlink radiation under cloudy days is estimated according to the model and the acquired cloud top temperature, cloud top height, atmospheric total moisture content, surface temperature and surface emissivity, calculation of long-wave downlink radiation under cloudy days is realized, and the defect that long-wave radiation under cloudy days cannot be effectively inverted in the prior art is overcome.

The invention discloses an unmanned aerial vehicle aerial photography measurement method and system, and relates to the technical field of unmanned aerial vehicle aerial photography measurement. The problem of ensuring the aerial photography effect of the unmanned aerial vehicle is solved. The method specifically comprises the following steps: field measurement determination: arriving at a field, identifying a measurement area range, and analyzing a satellite map of the measurement area; judging weather conditions: observing measurement weather, selecting cloudy weather or high-brightness cloudy days, increasing exposure time if illumination is poor, wherein imaging quality is good if an iso numerical value is low, and measuring field wind speed, wherein ground four-level wind and below are suitable, the unmanned aerial vehicle takes off when being against the wind and returns when following the wind, the temperature is 0-40 DEG C, the battery stability and the camera precision are influenced when the temperature is too high or too low; and reocrding information such as wind speed, weather and take-off and landing coordinates of the day. According to the invention, an image with high resolution can be obtained and is basically not interfered by a cloud layer, meanwhile, the height formed with the ground is freely controlled, and the obtained image data is more detailed and has high resolution.

The invention provides a gas station traffic flow analysis method and system. The method comprises steps of determining the total number of refueling vehicles when the refueling vehicles are congested, and corresponding weather conditions and congestion time periods when the refueling vehicles are congested in a gas station; wherein the weather condition is one of sunny days, rainy days, cloudy days and snowy days, and the congestion period is one of morning, noon, afternoon and night; and selecting a corresponding refueling time model from a pre-trained refueling time model group based on the determined weather condition and the congestion time period, and importing the determined total number of the refueling vehicles into the selected refueling time model for calculation to obtain the total queuing time of the refueling vehicles. According to the method, the congestion condition and the queuing time of the gas station can be evaluated, and the user experience is improved.

The invention discloses a method for plowing a substrate to construct a clump to control the number of insects in cloudy days at an airport. It is plowed in May-June in the demonstration area of ​​the airport, the depth is 15-25 cm, and the plowed soil is naturally planted into a clump area containing only water barnyard grass. The average plant height of water barnyard grass is 50-55 cm. cm, the overall coverage of plants is close to 100%. According to different weather conditions, three survey dates were selected for investigation. The insects in the net were quickly packed into containers, immersed in 75% alcohol for storage, and the changes in the number of insect species were observed and recorded in 5 different time periods. The method of the invention can provide a basis for the airport to implement effective management when the insects are most active.

The invention discloses an all-weather intelligent control method for a tuyere motor based on regulation and control of room temperature. An overall solution is formulated according to the characteristics and functions of the tuyere motor and the tuyere opening and closing device adopted by sunlight greenhouses of different structures, and all-weather operation rules, indoor temperature prediction models and other models corresponding to all-weather scenes are constructed; according to relevant threshold values set according to actual production requirements and the collected real-time data, real-time comprehensive analysis is conducted through a control system computer, a corresponding real-time instruction is generated to control an air port motor to adjust the opening degree of the solar greenhouse air port device, and accurate room temperature regulation and control within the permissible range of natural environment conditions are mainly achieved; and corresponding treatment is carried out in emergency environment states such as timely ventilation in cloudy days, strong wind, rain, snow and the like. The method has the characteristics of all-weather unattended operation, accurate temperature control, manpower resource saving, prevention of accidental loss caused by sudden weather conditions, low cluster control cost, safe and reliable operation, high practicability and the like, and can be widely applied to various production industries of sunlight greenhouses.

The invention discloses a method for regulating cloudy day insect diversity by airport substrate ploughing and thicket construction. According to the method, substrate ploughing is performed in an airport demonstration area on May and June every year, the depth is 15-25 cm, two-time soil-loosening ploughing work is performed, the soil is ploughed and planting is performed naturally to form a thicket area only containing echinochloa crusgalli, the average plant height of echinochloa crusgalli is 50-55 cm, and the overall cover degree of plants approaches 100%. According to different weather conditions, three investigation dates are selected for investigation, the weather characteristic is cloudy day, the cloudy day temperature is 21-28 DEG C; the time in one day is divided into 5 time periods, insects in an insect net are collected and quickly placed in a container and soaked into 75% alcohol to be stored, and the changes of insect species and quantity are observed and recorded at the 5 different time periods. According to the method, the basis is provided for effective management at an airport when the insect activity degree is the highest.

The invention provides a multi-level microwave synthetic aperture calibration method and system for sea surface temperature detection. The method comprises the following steps of establishing a mapping relationship between infrared sea surface temperature remote sensing data obtained through infrared detection and sea surface temperature microwave data obtained through microwave detection, obtaining an error distribution rule of the sea surface temperature microwave data based on the infrared sea surface temperature remote sensing data of the target precision and the mapping relationship, andcalibrating the sea surface temperature microwave data by applying an error distribution rule to obtain all-time all-weather sea surface temperature remote sensing data. Infrared sea surface temperature remote sensing data of microwaves at the same time, in the same space and in the same path are obtained through the refrigeration infrared detector assembly, a microwave error distribution rule isobtainedon sunny days, the rule is applied on a cloudy day to calibrate sea temperature products, microwave remote sensing all-time and all-weather detection advantages are integrated, and the infrared sea surface temperature detection precision is high, product-level sea surface temperature calibration is realized, and the detection precision and the resolution of synthetic aperture sea surface temperature microwave remote sensing are improved.