221results about How to "High spatio-temporal resolution" patented technology

The invention discloses a method for implementing online tests of stream flow based on video images, and belongs to the technical field of non-contact open channel flow measurement. The method relates to a water flow tracing system, a water surface illuminating system, a video flow acquisition system, a camera calibrating system, an image processing system and a flow estimating system, trace particles are thrown in a flow measuring stream segment by the water flow tracing system, a camera shoots a water surface video stream, frames are extracted at fixed intervals and are processed digitally, the image processing system processes digital images according to ground control point coordinate information provided by the camera calibrating system, and finally, the stream flow is computed by the aid of the flow estimating system according to a flow rate and area method. By the aid of the method, complicity of stream flow measurement is reduced, simultaneously, high measurement precision can be guaranteed, and the stream flow can be dynamically monitored in extreme environments.

The invention discloses an NRIET weather multisource detecting data fusion analysis system. The system comprises data collection, data quality control, data normalization treatment, background field grid interpolation, multisource data fusion, fusion analysis and three-dimensional weather information display analysis, wherein the data collection is that various weather data of ground and upper airroutine observation, satellite and radar remote sensing observation and pattern background field is acquired; the data quality control is that quality control treatment is carried out on the collected multiple observation data; the data normalization treatment is that the data normalization treatment is carried out on the data which undergos the quality control treatment, and universal standard data interfaces are provided for subsequent modules to be called; the background field grid interpolation is that module input is taken as a background field to be interpolated to three-dimensional lattice points, and three-dimensional background data is acquired; the multisource data fusion is that the observation data is used for fusion, and the three-dimensional background data is revised; the fusion analysis is that based on the data fusion, ground analysis, temperature analysis, cloud analysis, water vapor analysis and balance analysis are further utilized, and further revisal is carried out for diagnostic analysis; the three-dimensional weather information display analysis is that three-dimensional lattice point data undergoing the fusion analysis is displayed, and an interaction analysis function is provided.

The invention discloses a NRIET X-band radar cooperative networking analysis method. The method comprises the steps that data are collected; the data quality is controlled; a distance weight interpolation technology is used, and a three-dimensional cressman interpolation method is used to perform lattice interpolation on radar echo, radial wind and each polarization; three-dimensional data networking is carried out; for a three-dimensional wind field inversed by a dual Doppler radar, the inversed wind field is constrained by a mass continuous equation, and the three-dimensional wind field is acquired by repeatedly iteratively solving the equation; the vertical velocity w is acquired by the mass continuous equation, and a trace boundary condition is used to adjust a vertical motion field, wherein the upper boundary of the mass continuous equation is set to integrate down; based on a radar product reflectivity algorithm, a combined reflectivity puzzle product and an echo top puzzle product are generated; through Z-R relationship, quantitative precipitation is estimated to acquire a rain intensity product; a texture classification method is used to identify a precipitation stratus convection region; and a fuzzy logic algorithm is used to recognize the phase state of precipitation particles in each region at different stages of a precipitation process.

The invention provides a method for optimizing laser radar detection atmospheric composition spectral line analysis, through building of an IPDA laser radar equation of hard target reflection, calculation of difference optical thickness of two pulses and CO2 air column mixing rate XCO2 with a weight, single spectral line broadening calculation, absorption cross section calculation, CO2 absorption optical thickness calculation, a weight function profile and a CO2 molecule number density profile, weight function-optimized spectral lines are obtained. The spectral lines obtained by the method have a higher lower-atmosphere weight ratio, and detection is closer to a true value.

The invention discloses an array weather radar detection system and method. The array weather radar detection system comprises a plurality of radar transceiving units and a control and data processing center, and weather radars are arrayed according to a triangular structure. The detection method comprises the following steps that the weather radars are arrayed according to the triangular structure, synchronizing detection is conducted on the weather situation in the triangular area, data are synthesized, and a precipitation particle three-dimensional movement speed and a reflectivity factor field are formed. The array weather radar detection system is high in scanning speed, high in detection space resolution and small in data synthesis error, and the radar transceiving units are small in size, light and convenient to erect.

The invention discloses a single-beam-laser multidimensional speed measuring system of a high-speed rarefied gas flow field. The single-beam-laser multidimensional speed measuring system comprises a high-speed rarefied gas wind tunnel (1), a laser light source module (2), a laser beam shaping module (3), a high-voltage arc discharge module (4), a fluorescent signal collecting and recording module (5), a data processing module (6) and a time sequence synchronous control module (7). The invention further provides an application method of the system.

The invention provides an electron gun device for generating a high-brightness femtosecond electronic impulse. The electron gun device comprises an incident window, a sealing component, a vacuum cavity, a photocathode, a grid, an anode, an observation window, a molecular pump, a pre-stage dry pump, an electronic focusing magnetic lens, an RF (Radio Frequency) electronic compression cavity, an RF signal generating device, an x-direction electronic deflector, a y-direction electronic deflector and an electronic scanning plate. Through the invention, the broadening function of the space charge effect on longitudinal pulse duration of an electronic beam impulse is effectively suppressed; the problem that the divergence of the electronic beam is increased due to electric field distortion at a small hole of the anode is solved; and the horizontal and longitudinal electronic impulses have super-high resolution factors, and the real-time detection on super-high time resolution and space resolution of ultrafast processes such as molecular reaction dynamics can be performed.

The invention provides a display system and a display method for the NPLS (nano-tracer planar laser scattering) three-dimensional structure of a supersonic flow field. The display system is used for displaying the supersonic flow field in a test cabin, and comprises a synchronous controller, a computer connected with the synchronous controller and used for controlling the synchronous controller to send out a control signal, and a nano-particle generator, wherein the nano-particle generator is used for scattering nano-particles in the test cabin; the display system further comprises a pulse laser connected to the synchronous controller, wherein the laser beam emitted by the pulse laser forms a curved-surface light source or a conic light source via a lens group, and illuminates the supersonic flow field carring the nano-particles in the test cabin; a plurality of CCD (charge coupled device) cameras connected to the synchronous controller are used for imaging the supersonic flow field simultaneously and thus obtaining a plurality of nano-particle images of the supersonic flow field under different viewing angles simultaneously, and transmitting the images to the computer; the computer is used for analysing the plurality of nano-particle images of the supersonic flow field under the different viewing angles, and measuring a curved-surface flow field structure or reconstructing the three-dimensional structure of the flow field.

The invention discloses a rainfall intensity measuring method based on a satellite-ground link attenuation effect. Attenuation characteristics generated when satellite communication signals pass through a rain area are used, and the average rainfall intensity of a satellite-ground link in a propagation path in the rain area is measured; the rainfall intensity measuring method comprises the following steps that firstly, a satellite signal receiving antenna is set up on the ground, the frequency and a polarization method of the satellite signals are determined, and the signal intensity is recorded by a satellite receiver; then rain-caused signal attenuation quantity is extracted according to changes of the signal intensity in rainy weather and non-rainy weather; and finally a relationship between rain-caused attenuation and the rainfall intensity are used for inversion to obtain the average rainfall intensity in the propagation path. The rainfall intensity measuring method based on the satellite-ground link attenuation effect has the characteristics that measuring points are many, the covered range is wide, the temporal-spatial resolution is high, the erection and maintenance costs are low and the like, areas with erected satellite antennae can be used for measuring the rainfall intensity, and the deficiencies that the temporal-spatial resolution of a meteorological satellite islow, scanning of a weather radar has a blind area, rain gauge stations are sparse and the like can be overcome.

The invention relates to an unicell detector based on a nano fiber probe, which comprises a nano probe, a light source unit, a micro operation system, an electricity detection unit, a cellular localization system and a photon detection unit, an innermost layer of the nano probe is a fiber layer, the outer wall of the fiber layer is wrapped with a nano ring electrode layer, and the outer wall of the nano ring electrode layer is wrapped with an insulating layer. A manufacturing method of the unicell detector based on the nano fiber probe comprises the steps of drawing, sputtering, making the insulating layer and cutting focused ion beam. The unicell detector has high sensitivity and can realize the unicell grade detection, compared with a traditional detection means by crushing millions of cells, the required cell sample amount is greatly reduced, and the success rate of disease detection at early stage can be increased. The unicell detector can perform in-vivo cell detection and can avoid the false appearance generation during a cell processing process. The space-time resolution and detectable target object scope can be greatly enhanced, and a biochemistry mechanism in the unicell enables real-time detection and analysis.

The invention relates to a method for ultra-short-term prediction of solar irradiance in clear and cloudy weather, which is based on an all-sky imager (TSI-880) ground cloud picture, including cloud retrieval of real-time ground-based cloud images, using the cloud image retrieved from the time-series cloud cover to predict the cloud image; Then, the multiple linear regression equation is constructed by using the cloud amount and clear sky factor data of n time cloud pictures before t time. Finally, the cloud amount data of t + Delta t time cloud pictures in the future are substituted into theregression model to obtain the forecast clear sky factor, and then the forecast surface irradiance of the corresponding future time is calculated. The invention can effectively predict the variation of the ground solar irradiance caused by the movement and change of the clouds in the clear and cloudy weather condition in real time, overcomes the shortcomings of the existing solar radiation prediction method such as randomness, uncertainty, large error and the like in the clear and cloudy weather condition, and realizes the advantages of good real-time performance and high accuracy.

The invention discloses an on-line measuring system and method for the concentration of NO3 free radicals in the atmosphere based on broadband cavity-enhanced absorption spectroscopy. The on-line measuring system at least comprises a light source controller, a light source, a first convex lens, a second convex lens, a pair of high-reflectivity lenses, a detection cavity, an optical fiber, a spectrometer and a zero-point generator. According to the invention, the pair of high-reflectivity lenses compose a resonant cavity, a LED is used as the light source, and the spectrometer is used as a detector; dynamic zero points are employed for elimination of the influence of other absorbed components on the measurement of NO3 free radicals, so on-line accurate measurement of the NO3 free radicals in the atmosphere is realized. The on-line measuring system and method provided by the invention have the characteristics of low detection limit, high sensitivity, high temporal-spatial resolution, high stability and low cost.

The invention discloses an online measurement device and measurement method for the NO concentration in a high-NO2 and low-NO atmosphere. The online measurement device comprises an ozone generation unit, a connection pipe cleaning unit and a sampling pipe, wherein a connection reaction bin, an NO2 measuring instrument, a second mass flow meter and a first air pump are sequentially connected behind the sampling pipe; and the connection pipe cleaning unit comprises an electromagnetic three-way valve, an activated carbon tube, a current-limiting hole and a second air pump. By adopting a cavity-enhanced absorption spectroscopy, a sampling mode (actual atmosphere of ozone is added) or a zero point mode (actual atmosphere) is set through the electromagnetic three-way valve; absorption spectrum intensity signals of two modes are measured through an NO2 measuring instrument as a sampling spectrum and a reference spectrum respectively, and then NO in the atmosphere is converted into a concentration value of the NO2 through spectral fitting, that is to say, measurement of the NO concentration in the atmosphere environment is achieved, so that the online measurement device and measurement method have the characteristics of being free of NO2 concentration interference, a low detection limit, high sensitivity, high temporal-spatial resolution, high stability and low cost.

The invention provides a marine ranch underwater and overwater integrated communication system based on small floater anchor mooring chain networking according to the requirement of marine ranch intelligent monitoring three-dimensional network construction. A sensor network based on LoRaWAN wireless standard is built in a marine ranch. Seawater temperature information transmission of an underwaternode profile of the small float anchor mooring chain is completed underwater based on an inductive coupling transmission principle, the signal transmission performance is improved by using an OFDM algorithm, the small float anchor mooring chain is used as a network child node on water, a gateway node is arranged at a proper position, a server terminal is installed on a watch-over platform on water, and each child node, the gateway and the server form a wireless sensor network, a LoRa rate adaptive mechanism is used for guaranteeing the transmission rate of signals in the aspect of a protocol.The marine ranch underwater and overwater integrated communication system based on small floater anchor mooring chain networking provides a low-cost solution for monitoring and transmitting underwater data of the marine ranch.

The invention belongs to the technical field of weather forecast, and particularly relates to an air temperature forecast data correction method based on deep learning. In a data preprocessing stage, a nearest neighbor interpolation method is used for converting air temperature forecast data into lattice point data, meanwhile, the spatial resolution is improved, and Gaussian filtering is adopted for carrying out smoothing processing on the air temperature data, so that Gaussian noise is removed; in the stage of constructing a deep learning network structure, the time resolution is improved by using up-sampling processing, meanwhile, time features are extracted by using LSTM, weighted fusion is performed on the time features and numerical forecasting features extracted by a UNet network, and the temperature forecasting precision is improved by using the nonlinear mapping capability of the deep learning network and the information extraction capability of lattice point data. In conclusion, according to the air temperature forecast data correction model, a more accurate correction value can be calculated, the temporal-spatial resolution of air temperature forecast can be improved, manpower consumption can be reduced, and a high-resolution and accurate-analysis correction service is provided for future refined grid point forecast.

The invention discloses a typhoon elliptical wind field parametric simulation method based on remote sensing image features. The invention relates to the field of satellite meteorological remote sensing information technology application. Through a remote sensing image analysis means and in combination with least square method ellipse fitting, ellipse center coordinates, ellipse long axis and short axis lengths and included angle parameters of the ellipse long axis and the x axis in the positive direction of the sea surface ellipse typhoon wind field are obtained through simulation, and the maximum wind speed space distribution range of the sea surface wind field in different directions is given. The method has the characteristics of simple operation and good real-time performance, the space-time heterogeneity distribution characteristic of the maximum wind speed radius of the sea surface wind field can be simulated, the obtained maximum wind speed point fitting ellipse can effectivelydescribe the space-time distribution range and orientation of sea surface wind field energy, and more accurate external drive can be provided for simulation of ocean dynamic processes such as storm surge and sea waves.

The invention discloses a CORS-based regional ionospheric electron density three-dimensional real-time monitoring system and method. The real-time monitoring system comprises a CORS data real-time acquisition module, a Real-Time Service (RTS) real-time acquisition module, a real-time precise ephemeris generation module, a real-time data management module, an ionospheric data processing module, a display module and a product service module. The CORS-based regional ionospheric electron density three-dimensional real-time monitoring system and method has the significant effects that real-time three-dimensional ionospheric electron density products based on global satellite navigation systems such as GPS, GLONASS or Beidou system can be stably provided in real time through a GNSS reference station network and the ionospheric data processing module, and real-time monitoring of a regional ionosphere is realized; and the realization cost is low, ionospheric products with real-time and high spatial-temporal resolution are provided without increasing the construction cost, and the CORS-based regional ionospheric electron density three-dimensional real-time monitoring system and method is apowerful supplement to traditional ionospheric monitoring methods.