166 results about "Field observation" patented technology

The invention provides an ocean live big data fusion method based on deep learning, and relates to the technical field of ocean big data fusion, and the method comprises the steps: obtaining meteorological driving variables, ocean historical reanalysis data, satellite observation data and ocean field observation data, and performing unified format conversion processing on the basis of the acquired meteorological driving variables, the ocean historical reanalysis data, the satellite observation data and the ocean field observation data, and configuring a unified ocean environment feature tensor set. A unified marine environment feature tensor structure is configured, meteorological driving variables, marine historical reanalysis data, satellite remote sensing data and on-site buoy observation data are subjected to space resampling, time interpolation and missing complementation and are unified into a space-time grid under a geographic reference coordinate system, a four-dimensional tensor set is configured, and the four-dimensional tensor set is obtained. The problem of fusion obstacles caused by non-uniform data formats and inconsistent temporal-spatial resolutions in the prior art is effectively solved.

The invention discloses a complex terrain wind field multi-scale numerical simulation real-time assimilation method fusing external field measurement data, and the method comprises the steps: obtaining conventional meteorological and topographic data, determining a reference point, and carrying out the simulation of a complex terrain wind field numerical value based on a mesoscale WRF mode; acquiring external field observation data and high-precision terrain data, and improving the mesoscale numerical simulation precision of the complex terrain wind field based on a four-dimensional variational assimilation method by combining the high-precision terrain and the high-resolution grid until a first preset precision requirement is met; establishing a medium-micro scale coupling simulation framework based on WRF-CFD mode coupling, and performing high-fidelity CFD numerical simulation on the target wind field; and applying a four-dimensional variational assimilation technology to the CFD simulation process to improve the CFD numerical simulation precision to meet a second preset precision requirement. According to the invention, the precision of complex terrain wind field multi-scale numerical simulation can be improved.

The invention discloses a wheat yield remote sensing prediction method combining phenological parameters, which comprises the following steps: S1, performing field observation in a key growth period of winter wheat, synchronously collecting canopy hyperspectral reflectivity data, leaf area index (LAI) and SPAD value of each observation sample point, and recording wheat grain yield of the corresponding sample point; s2, performing noise reduction preprocessing on the acquired canopy hyperspectral data, and extracting sensitive spectral parameters by combining principal component analysis (PCA) and correlation analysis methods; s3, taking the sensitive spectrum parameters, LAI and SPAD values as independent variables, taking the wheat grain yield as a dependent variable, and adopting partial least squares regression (PLSR) to construct a multivariable yield prediction model; and S4, performing wheat yield prediction on an independent test sample or regional scale remote sensing data by using the trained model. The method overcomes the defect that only yield sensitive spectrum parameters are used for predicting the effect, and accurate estimation of the model is achieved.

The invention discloses a laboratory intelligent agent construction method and system based on artificial intelligence, and relates to the technical field of intelligent laboratories. In order to solve the problems of scattered laboratory data information, low scientific and technological resource matching efficiency, lack of a unified AI driving platform and the like in the prior art, a core agent is constructed by introducing machine learning or an artificial intelligence architecture, and digital access and resource pooling are carried out on scientific research total factors such as infrastructures, software and hardware, human property and the like. The intelligent agent is based on semantic alignment and inference rules, dynamic intelligent configuration of resources such as field observation, experimental analysis and computational simulation is achieved, and finally a full-life-cycle intelligent management and scientific research environment integrating equipment perception, intelligent control and business application is formed. According to the method, resource islands are effectively broken, the resource utilization efficiency is improved, a novel scientific research normal form of'big data + AI + model 'is promoted, and systematic support is provided for refined and automatic management of laboratories.

The invention discloses a marine environment spring layer characteristic diagnosis data processing method, and aims at complex dynamic characteristics of a land frame edge sea spring layer to realize accurate diagnosis through multi-source data cooperation and an intelligent algorithm. The method comprises the following steps: acquiring and preprocessing field observation, remote sensing, sonar, terrain and tidal ocean current data; extracting spatio-temporal characteristics based on a CNN-LSTM hybrid network, and generating a dynamic spring layer threshold; fusing multi-source data by adopting an improved D-S evidence theory, and constructing a three-dimensional spring layer characteristic field; predicting an internal wave in combination with an attention mechanism model, and optimizing a preorder model by using sonar data. The method breaks through the limitation of a fixed threshold value, realizes spring layer dynamic identification, three-dimensional reconstruction and internal wave prediction, improves the diagnosis precision of a complex sea area, and provides key technical support for underwater detection, engineering safety and environmental research.

The invention discloses an ionosphere TEC forecasting method, system, medium and equipment fused with a geomagnetic field, and belongs to the field of ionosphere TEC forecasting, the method comprises the following steps: obtaining current ionosphere TEC grid data, solar activity index data and global geomagnetic field observation data, and constructing to obtain multi-channel fusion data; based on a preset ConvLSTM model, processing the multi-channel fusion data, and outputting an ionized layer TEC forecast result; wherein the ConvLSTM model is obtained by training an input sequence in historical multi-channel fusion data and a corresponding target sequence; the input sequence is composed of multi-channel fusion data of a plurality of consecutive time steps, and the target sequence is composed of ionized layer TEC grid data immediately after the input sequence. By implementing the method, the forecasting precision of the ionized layer TEC under complex space weather conditions such as magnetic storm can be improved.

The invention relates to a coastal zone sediment erosion pore scale flow field observation system and observation method. The observation system comprises a wave-flow water tank, a sediment accumulation body arranged in the wave-flow water tank and PIV equipment used for observing the internal flow field and the pore size of sediment. A wave making plate and a wave dissipating plate opposite to the wave making plate are arranged in the wave flow water tank, experimental fluid used for simulating waves is arranged between the wave making plate and the wave dissipating plate, and a wave height meter floats on the experimental fluid; the sediment accumulation body is formed by accumulation of transparent solid particles with the same refractive index as the experimental fluid; the PIV equipment comprises a laser light source and a camera, the laser light source is focused on the sediment accumulation body, and the camera directly faces the sediment accumulation body and is used for collecting images. Compared with the prior art, a clearer sediment pore internal flow field image is obtained through the combination of the refractive index matching technology and the image particle velocity measurement method, so that effective observation of the pore scale flow field eroded by the sediment in the coastal zone is realized.

The invention discloses a silty silt seabed critical start calculation method considering seabed liquefaction influence, and belongs to the technical field of silt dynamic simulation and calculation. The method comprises the following steps: firstly, acquiring wave parameters such as wave height, period and water depth, and calculating a characteristic Reynolds number based on a Stokes wave theory; in combination with field observation or indoor test data, the liquefaction grade is calculated through an empirical function, and the bed state is divided; then according to the liquefaction grade, the sediment erosion coefficient and the critical starting stress are corrected in an index form; and finally, correcting empirical coefficients by using field and indoor data, and constructing a regional correction coefficient table. The method can accurately reflect the influence of liquefaction on sediment starting, the accuracy of the calculation result is improved compared with that of a traditional method, the method can adapt to different sea area environments, operation is easy and convenient, and a reliable basis is provided for offshore engineering design and sediment movement prediction.

The invention discloses a rare metal mineralization potential comprehensive evaluation method based on rock geochemistry, and aims to solve the problems of single evaluation index and disjunction between field observation and indoor analysis in the prior art. The method comprises the following steps: obtaining geological data of an analysis area, and screening a target area based on a favorable structure background and an exposed feature criterion; identifying mineralogical and lithofacies markers and collecting sampling data; the method comprises the following steps: acquiring rock geochemical data of a sample sampled by a previous person, including multi-dimensional data including major elements, trace elements, isotope composition and the like, and calculating a quantitative evaluation index according to the data; and finally, establishing a comprehensive evaluation model by adopting a weighted scoring method to realize mineralization potential grade division and target region accurate delineation in a three-dimensional space. According to the method, organic combination of macroscopic geologic features and microcosmic geochemical data is realized, and a complete technical system from field observation to indoor analysis to engineering decision is formed.

The invention discloses a full-process control method and system for galvanization processing, and relates to the technical field of Internet of Things production control. The invention discloses a full-flow control system for galvanization processing. The full-flow control system comprises a data acquisition module, a micro-flow field observation module, a risk calculation module, a parameter decision module, a comprehensive optimization module and a data positioning module. According to the method, a physical information neural network containing electrochemical constraint and thermal-fluid conservation constraint is introduced into a CFD digital twinborn model, and assimilation is carried out on micro-flow field observation data, so that micro-flow field state and dynamic evolution prediction synchronous with a production line are obtained; on the premise of ensuring mass balance and energy balance, the physical consistency and precision of flow field reconstruction and prediction are improved, and credible flow field state representation is provided for defect risk assessment and control decision based on the micro-flow field.

The invention provides a method and a device for determining the content of organic macerals in a rock sample. The method for determining the content of the organic macerals in the rock sample comprises the following steps: collecting a plurality of images of the rock sample through a microscope; wherein the plurality of images are acquired by the microscope for multiple times; splicing the plurality of images to generate a spliced image; and determining the organic maceral content of the rock sample according to the spliced image. According to the method and the device for determining the content of the organic maceral in the rock sample, provided by the invention, manual full-vision field observation and photographing are not needed, and offline image processing can be carried out only by obtaining one or a plurality of large images, so that the time of occupying a microscope can be saved, and the efficiency can be greatly improved.

The invention relates to an aperiodic disturbance control vibration grid turbulence generation device, which comprises a vibration grid device and a flow field observation device, and is characterized in that the vibration grid device comprises a water tank frame, a water tank, a linear slide rail, a linear module, a vibration grid, a motor and a control system PLC module; the flow field observation device comprises an optical platform, an auxiliary LED lamp and a particle image velocity measurement system, wherein the particle image velocity measurement system comprises a high-speed camera, a laser and a computer. According to the invention, isotropic turbulence in a complex mode can be simulated, and the application range of equipment is expanded. According to the invention, the limitation of a vibration grating device based on periodic disturbance control is overcome, and a more flexible experiment platform is provided for turbulence mechanism research and application of the turbulence mechanism in the fields of material transportation, diffusion, sedimentation, flocculation and the like.

The invention provides a sodium ion specific fluorescence labeled transparent soil sample as well as a preparation method and application thereof, and belongs to the technical field of rock soil and geological engineering. The method comprises the following steps: firstly, sequentially carrying out hydrophilization treatment, solvent evaporation and dissolution on a sodion combined benzofuran isophthalate probe to obtain a probe mother solution; mixing the probe mother solution, a buffer solution, an inorganic sodium salt solution and a solvent to prepare a fluorescence labeling pore solution; and finally, mixing the sodium polyacrylate particles and the fluorescence labeled pore liquid, and performing vacuum saturation treatment to obtain the transparent soil sample. The transparent soil sample provided by the invention still keeps excellent optical transparency while having sodium ion specific response capability, so that a stable and reliable experimental medium is provided for in-situ, real-time and full-field observation of sodium ion migration.

The invention discloses a compaction degree measuring and calculating method based on multi-physics field joint inversion. The method comprises the following steps: acquiring multi-physics field observation data and rock-soil compaction characteristic parameters of a to-be-detected area; establishing a mapping relationship between the moisture content and the observation data and between the dry density and the observation data by using a pre-established forward model; executing joint inversion iteration, and updating the state variable based on the observation residual error; in the iteration process, a physical feasible region is constructed by utilizing rock-soil compaction characteristics, and the physical feasible region is embedded into the inversion process as a constraint condition to constrain the value ranges of the dry density and the water content; and in response to the condition that the joint inversion iteration process meets a preset convergence condition, outputting the dry density after inversion convergence and calculating the compaction degree. According to the method, the problems that a traditional inversion solution violates the soil engineering compaction rule and cannot adapt to compaction under variable work conditions are solved, and the physical authenticity and precision of compaction quality detection are improved.

The invention relates to the technical field of frozen soil hydrothermal coupling, in particular to a frozen soil hydrothermal coupling model based on a physical information neural network, which comprises the following steps of: 1, deducing a control equation, including deducing an energy conservation equation and deducing a mass conservation equation; 2, an auxiliary equation is established; 3, initial conditions describe physical field distribution in the whole domain at the beginning of calculation, and in practical application, the initial conditions are generally determined based on field observation data or theoretical analysis; 4, describing physical field constraints on the boundary of the computational domain according to boundary conditions, wherein the boundary conditions generally comprise a Dirichlet boundary condition, a Neumann boundary condition and a mixed boundary condition; and step 5, a physical information neural network method. According to the method, efficient meshless calculation is achieved, powerful support is provided for model parameter inversion and cold region engineering real-time prediction, and the practical value and application potential of the method are remarkably improved.

The invention discloses a large-view-field compound eye telescopic system suitable for daytime observation, and belongs to the technical field of optical system design. The system comprises a primary mirror, a compound eye optical unit, a refraction correction mirror group unit and a photoelectric detector unit which are sequentially arranged along an optical axis. The compound eye optical unit adopts a light splitting reflection cube-corner prism structure, and divides a focal plane of a primary lens into X paths of sub-view fields; the refraction correction lens group unit comprises n correction lens groups with built-in field diaphragms; a concentric annular light barrier group is arranged on the inner wall of the primary mirror chamber. Large-view-field observation is realized through optical splicing of a compound eye structure, strong background stray light in the daytime is remarkably inhibited by utilizing a built-in view field diaphragm and combining multiple scattering absorption of a light barrier group, and the stray light coefficient of the system is lower than 1.11 * 10 <-7 >. The technical problem that an existing optical telescope cannot carry out high-contrast large-view-field observation in the daytime is solved, and all-weather monitoring of near-earth celestial bodies is achieved.

This invention relates to the field of highway slope inspection technology. Existing technologies cannot meet the actual needs of digital inspection and intelligent operation and maintenance of highways. It provides a multi-source spatiotemporal registration and positioning method and system for highway slope inspection, including multi-source joint correction of the predicted state of the inspection terminal at the current moment; constructing a near-field observation sector at the current moment; dividing the coverage area of ​​the near-field observation sector into several candidate spatial units; identifying abnormal areas and extracting their boundary range and spatial center position, and matching them with the route centerline of the current inspection section to obtain the corresponding mileage marker information; mapping the abnormal areas into standardized structured positioning results; and combining the current point cloud registration quality, point cloud overlap, satellite positioning quality, and terminal attitude stability to evaluate the reliability of the positioning results for abnormal areas. This enables the results to directly serve slope inspection documentation, maintenance and treatment assignment, and verification.

This invention belongs to the field of agricultural fungicides, and provides a fungicidal composition containing methamidophos and fluopyram and its application, wherein the mass ratio of methamidophos and fluopyram is 1:2-1:70; the fungicidal composition has excellent synergistic effects on crop diseases; it can effectively reduce the dosage of pesticides, slow down the development of pesticide resistance in diseases, reduce environmental pollution, and is safe for crops in field observations.

The application discloses a high-speed wind tunnel applied to three-dimensional PIV, which comprises a nozzle section and an experimental section, wherein the experimental section is provided with an experimental area capable of placing an experimental model or a real aircraft; a concave cavity is arranged on the wall surface downstream of the experimental area of the experimental section, and an observation window is arranged on the wall surface of the concave cavity and faces the experimental area. The application is applied to the field of aerodynamics, and the angle of the observation window can be flexibly adjusted according to the characteristics of the supersonic flow field. The camera lens can be arranged vertically to the observation window during flow field observation, the imaging blur problem caused by the refraction of the observation window glass is avoided, clear flow field images are ensured to be shot, and the three-dimensional velocity field can be accurately calculated.

The invention discloses a parallel plate ion mobility measuring device and method for field observation. The equipment comprises a three-layer parallel flat plate ion current assembly, an electric field measuring instrument, a first direct-current power supply, a second direct-current power supply, an ampere meter and a measurement and control device, the three layers of parallel plate ion current assemblies are used for generating ions and forming a synthetic electric field; the ampere meter is used for being connected with the three-layer parallel flat plate ion current assembly and generating a current reading for indicating the density of the ion current; the electric field measuring instrument is arranged right below the three layers of parallel plate ion current assemblies and is used for generating a field intensity reading for indicating the size of a synthetic electric field; and the measurement and control device is used for executing a self-calibration program and a self-measurement program of the electric field measurement instrument so as to control the output voltage of the first direct-current power supply and the output voltage of the second direct-current power supply, obtain a current reading, obtain a field intensity reading and calculate the ion mobility. The system is high in accuracy, high in stability, convenient to use, good in portability and high in automation degree.

A large-scale denudation depth thematic mapping method, which includes: creating a rule for arranging field work point and field work route, a sampling rule, a field observation and recording rule and a mineral processing rule of a research area. Analyzing a target mineral selected at each field work point by using a thermochronology research method and inputting analysis data into a Low-T Thermo software to perform thermal evolution history modeling and denudation depth calculation, so as to obtain a denudation depth at each of the field work points. Drawing a denudation depth isopleth map of the research area according to the denudation depth at each of the field work points; and setting a large-scale standard regional geological map of the research area as a base map. Superimposing the base map and the denudation depth isopleth map to obtain a denudation depth map of the research area.

A collaborative data management method and system for river, lake, and reservoir water quality based on field activities optimizes the entire process from sample collection to data analysis through modules for demand matching information management, compliance information management, test data management, and data review and storage. This improves the efficiency and accessibility of field observations, lowers the professional threshold, and enhances collaboration and participation among all participants. The demand matching information management module facilitates effective connection between researchers and field participants; the compliance information management module ensures the professional compliance of equipment, standards, and personnel; the test data management module standardizes the collection and uploading of field and laboratory data; and the data review and storage module strengthens the scientific review, quality control, and evaluation of data. This invention improves the efficiency and data quality of scientific research activities and provides strong technical support and data management solutions for field water quality monitoring and other activities through a systematic approach.

The present invention discloses a method for predicting the near-field radiation of an array antenna based on polarization vector synthesis, comprising the following steps: 1) constructing a unit characteristic characterization matrix for the antenna units of the array antenna; 2) constructing an array configuration description matrix for the array antenna based on the unit characteristic characterization matrix; 3) setting array frequency, radiation power, and radiation efficiency parameters; 4) projecting the source polarization vector from the unit local coordinate system to the array global coordinate system; 5) calculating the projection of the source polarization vector at the field point based on the position of the field observation point; 6) decomposing the projection of the source polarization vector at the field point to calculate the horizontal polarization coefficient and the vertical polarization coefficient; 7) calculating the horizontal polarization field, the vertical polarization field, and the total field at the field point. By adopting an analytical calculation model for the radiation field based on polarization vector synthesis, the present invention achieves higher computational efficiency in predicting the near-field radiation of an array antenna compared to the full-wave method.

The invention discloses a coastal power plant warm discharge water background temperature calculation method, an electronic device and a storage medium, the background temperature is accurately calculated, and the method comprises the following steps: 1, if remote sensing image data exists before a power plant operates, taking a power plant sea area as a target sea area; and if not, selecting adjacent areas which are similar in shoreline characteristics and are not influenced by warm drainage. 2, selecting a remote sensing image similar to the field observation time for inversion to obtain a sea surface temperature data matrix; and 3, establishing a water temperature gradient observation strip consistent with the resolution interval of the remote sensing image in the target sea area from the shore to the offshore direction, and calculating a temperature mean value. And 4, fitting a curve representing the natural gradient change of the offshore water temperature by using an exponential function model based on the observation strip temperature data. And 5, introducing the water temperature of the reference point. And 6, in combination with the fitting curve and the datum point water temperature, background temperatures of different tidal hours and offshore distances are calculated to form a space-time continuous dynamic background temperature field. And 7, performing difference operation on the actually measured sea surface temperature field and the dynamic background temperature field to obtain an actual temperature rise field of the thermal discharge of the power plant.

The utility model discloses a GNSS (Global Navigation Satellite System) receiver and choking coil antenna storage bag for field observation, which relates to the technical field of field observation and comprises an auxiliary knapsack, a knapsack unit for relieving the bearing pressure of a user is arranged on the side surface of the auxiliary knapsack, and a support unit for quickly storing tools is arranged in the knapsack unit. The knapsack unit comprises a knapsack unit fixedly connected to the side face of the auxiliary knapsack and a waist support fixedly connected to the side face of the waterproof knapsack and used for buffering. The receiver is placed in the storage bin, the limiting cover is closed, the limiting cover exerts pressure on the receiver and extrudes the ejection block to retract into the fixing block, at the moment, the storage bin can retract into the supporting frame through the hinge for connecting the storage bin with the supporting frame, and it is ensured that the clamping block is clamped with the clamping arm; and it is ensured that the receiver is stored in the supporting frame through the storage bin.

The invention discloses a high-resolution internal wave sound velocity field inversion method based on propagation time delay, relates to the technical field of ocean observation, and aims to solve the problem that fine changes of a sound velocity field under internal wave driving cannot be effectively captured in the prior art. And cumulative observation results at different times are equivalent to multiple groups of virtual nodes and virtual observation networks at the same moment, so that high-resolution inversion of an internal wave sound velocity field is realized, and fine changes of the sound velocity field driven by internal waves are effectively captured. The defect that satellite observation lacks deep information is overcome, and full-water-depth sound velocity field observation can be achieved.

The application provides a three-dimensional flow field observation program-controlled calibration platform and a program-controlled calibration method, which comprise a rotating shaft, an instrument frame, a plurality of spray devices, a plurality of semicircular tracks and a plurality of sliding blocks; the instrument frame is arranged on the rotating shaft; the instrument frame is used for mounting a first flow field observation device. The semicircular tracks are different in size and concentrically arranged; the semicircular tracks are respectively rotated on the rotating shaft; the center of the instrument frame and the center of the semicircular track are located at the same position; the sliding blocks are respectively arranged on the semicircular tracks; and the spray devices are respectively arranged on the sliding blocks. The application refers to a structure of a celestial globe to design a program-controlled rotatable structure with a wind speed instrument in the center and spray devices on a support (semicircular track) as a precision calibration platform, so as to comprehensively and accurately simulate and measure the three-dimensional flow field movement of a fluid (for example, a cloud) and calibrate the flow field observation precision.

The application discloses a kind of frozen soil area railway subgrade and underlying stratum multi-physical field on-line detection evaluation method, through periodic excitation, observation direct current electric field and seismic wave field, network upload data, fast processing direct current electric field and seismic wave field observation data, realize the real-time detection of railway subgrade structure density and the upper and lower limit of underground frozen soil layer, short interval, nondestructive, fast, accurately grasp the change situation of road basic body structure and underground frozen soil layer, provide safety early warning for railway infrastructure, and provide early warning reference standard.Observation system cost is low, installation is convenient, once installation benefits for life, detection method has the advantages such as large detection depth, real-time, few people, intelligent detection, can meet the engineering operation detection demand of plateau railway, highway and the like, provide safety early warning method and equipment for railway, highway and the like subgrade engineering.

The invention provides a cultural heritage digital replication and augmented reality integration method and system and related equipment. The method comprises the following steps: establishing three layers of reference alignment data; the three-layer benchmark alignment data comprises a structure layer benchmark, a process layer benchmark and a semantic layer benchmark which are stored in a unified coordinate system; acquiring field observation data at the head-mounted terminal based on the three-layer reference alignment data, wherein the field observation data comprises structure observation data, process fingerprint observation data and semantic observation data; joint solving is carried out on the pose parameters of the field observation data under the unified coordinate system; the combined solution adopts a structure constraint formed by a structure layer reference and structure observation data, a process fingerprint constraint formed by a process layer reference and process fingerprint observation data, and a semantic locking constraint formed by a semantic layer reference and semantic observation data; and updating the three-layer reference alignment data based on the pose parameter and process fingerprint matching relation of the joint solution.

The invention provides a comprehensive monitoring method for nutrient loss of a freeze-thaw basin, which comprises the following four steps of: 1, analyzing hydrometeorological characteristics of the basin based on remote sensing data, and determining a key period of nutrient loss; 2, dividing a sub-basin and a river network structure by using an SWAT model, and scientifically arranging representative sampling points; thirdly, surface water collection is carried out in combination with the determined sampling scheme, and laboratory analysis is carried out on key indexes such as total nitrogen and total phosphorus; and 4, identifying a key period and a source region of pollutant loss based on the river network convergence relationship and the monitoring data. The method integrates three technologies of remote sensing identification, model simulation and field observation, has the advantages of low cost, high efficiency, high representativeness and strong adaptability, and is especially suitable for data scarce areas such as medium and high latitude freeze thawing areas. The method has a good application prospect in the fields of water environment monitoring and pollution identification.