114 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 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 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 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 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 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 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 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.

This invention provides a method, apparatus, computer equipment, and storage medium for identifying mesoscale eddies, belonging to the field of eddy recognition technology. The method includes: acquiring SLA data; dividing the SLA data into multiple initial SLA splines based on multiple SLA extreme points; filtering the multiple initial SLA splines according to preset screening conditions to obtain multiple first quasi-eddy SLA splines; selecting those belonging to the mesoscale eddy from the multiple first quasi-eddy SLA splines to obtain multiple second quasi-eddy SLA splines; determining the eddy boundary and eddy center of the mesoscale eddy based on the multiple second quasi-eddy SLA splines; and determining basic attribute features based on the eddy boundary and eddy center of the mesoscale eddy. This invention only processes SLA data, enabling rapid and efficient mesoscale eddy identification, providing timely and efficient service support for marine field observation and maritime navigation.

The invention discloses a superfluid helium low-temperature visualization device suitable for neutron fluorescence tracing and an experiment method, and a low-temperature heat insulation system module in the superfluid helium low-temperature visualization device comprises a cavity, a liquid nitrogen pool, a 77K cold screen, a superfluid helium pool and a 4K cold screen; the vacuum pumping and circulating reliquefaction module is used for recycling gasified helium; the temperature and liquid level monitoring control module is used for monitoring the temperature, the liquid level and the pressure in real time; the experimental observation and visualization module is used for neutron incidence, laser excitation and fluorescence signal observation path penetration, so as to realize visual observation of excimer fluorescence in the superfluid helium flow field; and the convection driving and mode switching module is used for realizing two experimental modes of mechanical driving forced convection and thermal driving internal convection. The device can stably obtain a superfluid helium environment below 2.17 K, and has the advantages of being excellent in heat insulation performance, high in liquid helium utilization rate, detachable and replaceable in structure, stable in operation, suitable for neutron fluorescence flow field observation and the like.

The application discloses a phase recovery method based on single fractional Fourier transform amplitude observation, and comprises the following steps: S1, a near-field observation model based on fractional Fourier transform is established according to optical propagation theory; S2, corresponding single fractional Fourier transform amplitude observation information is obtained by simulation according to the established near-field observation model; S3, a phase recovery algorithm based on generalized alternating projection method is established, the single fractional Fourier transform amplitude observation information and signal prior information are taken as inputs, iterative calculation is carried out by using the phase recovery algorithm, and signal reconstruction is realized. The application has the advantages that the requirement of excessive dependence on oversampling or multiple observations is broken, the near-field propagation problem is described by combining a signal processing tool fractional Fourier transform, more accurate and efficient signal reconstruction is realized only from single amplitude observation, and the reconstruction quality is high.

The invention belongs to the field of pesticides, and provides a bactericide composition for preventing and treating sorghum diseases and application of the bactericide composition, active ingredients comprise eugenol and chlorin iron, and the mass ratio of the eugenol to the chlorin iron is 1: 10-20: 1. The bactericide composition has an excellent synergistic effect on sorghum diseases; the composition can effectively reduce the usage amount of pesticides, alleviate the generation of drug resistance of diseases, alleviate environmental pollution, and is safe to crops through field observation.

The invention discloses a method for rapidly evaluating the windproof effect of a farmland protection forest net based on simplified three-dimensional modeling and computational fluid mechanics simulation. The method aims at solving the problems that large-range wind field data is difficult to obtain in existing field observation, and traditional computational fluid mechanics uses a refined farmland protection forest three-dimensional model, so that the calculation cost is too high, and the method cannot be applied to regional scales. The method comprises the following steps: firstly, acquiring spatial distribution of a forest network and three-dimensional structure parameters and layered leaf area density of a single forest belt by using an unmanned aerial vehicle oblique photography and rapid canopy measurement technology; then, in a geographic information system and engineering design software, a single forest belt is converted into a polyhedral structure with internal attributes, and a forest network three-dimensional model is constructed; further, efficient numerical simulation of the wind field around the forest network is realized through a computational fluid mechanics method; and finally, a target height wind speed distribution diagram is extracted from a result wind field obtained through simulation, an effective protection area is discriminated through a grid binarization method, and the forest network protection efficiency is rapidly evaluated.

The invention belongs to the technical field of image processing, and discloses a full-polarization SAR image sea surface oil spill extraction method based on an active contour. The method comprises the following steps: S1, obtaining four-channel data of a complete polarization SAR image, wherein the four-channel data covers polarization characteristic difference of oil spill; s2, selecting a closed curve surrounding a suspected oil spill area through visual interpretation based on fusion features of the complete polarization image, and optimizing a contour line through smooth and uniform sampling; s3, maintaining the continuity and expansion characteristics of the contour line by constructing an internal energy function; s4, iteratively adjusting the positions of the contour points according to the minimum energy principle, and judging the termination opportunity by combining the contour stability; s5, filling holes in the area through morphological operation, removing edge small bulges, and optimizing the area form; and S6, verifying the extraction precision through field observation, and judging whether a result meets an application standard or not. According to the invention, accurate segmentation of the oil spill area is realized through the multi-energy item active contour, and the method can be applied to marine environment monitoring and marine oil spill emergency response scenes.

The invention discloses an aeromagnetic measurement compensation method, system and device based on a magnetic sensing chip network, and belongs to the technical field of aeromagnetic compensation and aeromagnetic measurement. The method comprises the following steps: acquiring flight attitude data of an aircraft and geomagnetic field observation values acquired by all magnetic sensing chip nodes in real time in a detection flight process of the aircraft; inputting the flight attitude data into a three-dimensional interference field prediction module of a pre-trained aviation magnetic measurement compensation model, and outputting a magnetic interference prediction value at each magnetic sensing chip node under the current flight attitude; inputting the geomagnetic field observation value and the magnetic interference prediction value at each magnetic sensing chip node into a real-time compensation calculation module of an aviation magnetic survey compensation model, and outputting a geomagnetic field detection result obtained by current detection of the aircraft; and the real-time compensation calculation module is used for determining a geomagnetic field detection result according to the geomagnetic field observation values and the magnetic interference prediction values at all the magnetic sensing chip nodes and the weight coefficient corresponding to each magnetic sensing chip node.

The invention discloses an on-line detection and evaluation method for multiple physical fields of a railway roadbed and an underlying stratum in a frozen earth region, which comprises the following steps of: periodically exciting, observing a direct-current electric field and a seismic wave field, uploading data in a networked manner, and quickly processing observation data of the direct-current electric field and the seismic wave field; real-time detection of the compactness of the railway subgrade structure and the upper and lower limits of the underground frozen soil layer is achieved, the change conditions of the subgrade body structure and the underground frozen soil layer are mastered in a short-interval, lossless, rapid and accurate mode, safety early warning is provided for railway infrastructures, and an early warning reference standard is provided. The observation system is low in manufacturing cost and convenient to install, life-long benefits are achieved through one-time installation, the detection method is large in detection depth and real-time, has the advantages of few people, intelligent detection and the like, can meet the operation detection requirements of projects such as plateau railways and highways, and provides a safety early warning method and equipment for roadbed projects such as railways and highways.

The invention provides an animal detection method, an infrared imaging device, a program product and a storage medium, and the method effectively improves the significance of an animal target in an infrared image through a visual enhancement means, so that the animal target is more easily perceived by a user. Besides, different types of animals are associated with different identification colors, so that the user can quickly and intuitively distinguish different species according to the colors, and the target identification efficiency and accuracy in field observation or monitoring are improved. The animal detection method is particularly suitable for infrared imaging equipment, is used for observing wild animals, and can provide more intelligent and intuitive visual assistance for users.