61 results about "Field survey" patented technology

The invention provides a field survey data real-time modeling method and system based on edge calculation. The method comprises the following steps: acquiring three-dimensional space point data of a preset building group; performing dynamic space body unit division processing on the three-dimensional space point data based on the surface curvature features of the three-dimensional space point data to generate compressed space body unit data; performing incremental modeling processing on the compressed space body unit data, and identifying a structure discontinuous region from an incremental modeling processing result; performing spatial connection path repair processing on the geometric topological relation of the structure discontinuous region to generate continuous structure data; and fusing the compressed space body unit data, the incremental modeling processing result and the continuous structure data to generate a real-time updated building group three-dimensional model. According to the method, minute-level updating of a millimeter-level precision model in field survey of a large building group is achieved, and the timeliness bottleneck and the structural continuity defect of a traditional modeling method in a scene where equipment resources are limited are broken through.

The invention discloses an active layer depth identification method based on an envelope fusion algorithm, and belongs to the technical field of seasonal frozen depth survey. The method comprises the following steps: optimizing survey line arrangement and radar frequency through field survey and ground temperature data, and collecting data by using a ground penetrating radar; performing background removal, gain compensation, band-pass filtering and time-depth conversion preprocessing on the data; then, a gravity center method and an edge detection method are adopted to extract a bottom interface track, and noise and abnormal values are effectively suppressed according to self-adaptive weighted fusion of signal definition and continuity; and finally, carrying out cross validation and error correction by taking the earth temperature 0 DEG C isotherm depth as a reference, outputting a continuous and smooth interface fusion curve with centimeter-level precision, and calculating the depth of an active layer. According to the method, the high-efficiency and lossless advantages of the GPR are kept, meanwhile, the limitation of traditional interpretation precision is broken through, and a practical technical scheme which can be directly used for designing parameter values is provided for engineering investigation of the permafrost region.

The invention discloses a geological disaster emergency field survey data on-site entry software system, and relates to the technical field of communication technology, the system comprises a data acquisition module, a data processing module, a data storage module and a data transmission module, through multi-source data automatic association, real-time verification and compression, local encryption storage and an intelligent increment synchronization mechanism, the real-time verification and compression of the data are realized, and the real-time verification and compression of the data are realized. Efficient integration and reliable management of geographic information, images and attribute data are achieved, and the data quality and operation continuity of field emergency investigation are improved. According to the invention, a special software system integrating data acquisition, processing, storage and transmission is constructed, so that the problem of data entry in geological disaster emergency field investigation is effectively solved; according to the system, a multi-source data automatic association technology is adopted, high integration of geographic information, image data and attribute texts is ensured, and data quality and subsequent analysis value are remarkably improved.

The invention provides an unmanned aerial vehicle field crop growth monitoring and abnormity response system and method based on spatial layering, a low-altitude unmanned aerial vehicle carries a spectrum camera to carry out full-coverage aerial photography on a field, spectrum data is sent to a ground control station, and the ground control station calculates a vegetation index difference value of current patrol data and historical patrol data; according to the method, abnormal areas and grades are determined through a pre-established threshold matrix, then a near-earth unmanned aerial vehicle carries out refined aerial photography on corresponding grade areas through a carried RGB camera according to an abnormal area distribution map, a ground control station processes images to determine disease cause types, and then the ground control station generates an operation prescription map; the actual application amount is calculated through an application amount compensation algorithm, finally, sampling reinspection is conducted on the abnormal area through the near-earth unmanned aerial vehicle, and whether self-adaptive adjustment of the threshold value matrix is triggered or not is judged. According to the invention, monitoring, analysis and execution are completed through low-altitude, near-ground and ground multi-layer cooperation, and rapid and accurate monitoring of field crop growth and efficient response to abnormal regions are realized.

The application provides a kind of deep-buried underground cavern radon enrichment over standard comprehensive treatment method and system, comprising: step 1. Collect original data of the cavern to be treated, and obtain monitoring data;Step 2. Construct temperature-seepage-stress-radon transport multi-field coupling numerical simulation model to carry out temperature-seepage-stress-radon transport multi-field coupling numerical simulation on the cavern to be treated and the surrounding area;Step 3. Based on the numerical simulation results and combined with field survey, determine the radon enrichment area and enrichment degree of the cavern, and determine the radon enrichment reason;Step 4. Based on the obtained radon enrichment reason, take corresponding radon treatment measures;Step 5. Radon monitoring is carried out on the radon enrichment area of the cavern, if it meets the standard, the treatment is completed, if it does not meet the standard, return to step 3 until the standard is met. The application can determine the distribution characteristics and evolution law of the cavern radon, take comprehensive and optimized treatment measures, improve the treatment effect, and reduce the design and maintenance cost of deep-buried underground cavern.

The invention provides a geographic information framework element data updating method and device, and the method comprises the steps: obtaining remote sensing data for a target region from different data sources, and carrying out the fusion of the remote sensing data, and obtaining fusion data; interpreting the fusion data based on a double-branch interpretation model to obtain an interpretation result corresponding to the fusion data; according to the fusion data, the interpretation result and historical reference data corresponding to the target area, determining each target change element in the target area; and updating the geographic information framework element data corresponding to the target area based on each target change element and the updating priority of each target change element. Through fusion of multi-source remote sensing data and a double-branch interpretation model, construction of a full-process automatic framework and fusion of a multi-modal technology, manual field investigation and vectorization operation are replaced, manual intervention is eliminated, and efficient and accurate updating of geographic information framework element data is achieved.

To suppress a decrease in estimation accuracy by an estimation model even when there is variation in vegetation indices calculated from a plurality of image data photographed of a farm field showing the same growth state.SOLUTION: A device includes: an estimation model information storage unit that stores an estimation model; a second vegetation index calculation unit that calculates a second vegetation index from second image data obtained by photographing the farm field and captured under different conditions than the first image data used to generate the estimation model; a second field survey data acquisition unit that acquires a second growth index value resulting from a field survey conducted at a time corresponding to the time the second image data was captured; a conversion function generation unit that generates a conversion function that converts the correspondence between the second vegetation index and the second growth index value so that it matches the correspondence between the vegetation index and the growth index value in the estimation model; and a conversion unit that converts the correspondence between the second vegetation index and the second growth index value using the conversion function generated by the conversion function generation unit.SELECTED DRAWING: Figure 1

The application discloses a kind of three-dimensional reconstruction methods based on digital image acquisition in green reconstruction of existing building, belong to building informatization technical field, including: for the different types of building to be surveyed, the technical framework of field survey is established, the data of three aspects of geometry, color, disease is measured;For the applicability of different algorithms in different types of existing building, the three-dimensional reconstruction technology of existing building based on image is established;With BIM combined with GIS, the survey results are expressed and managed in three levels of building components, geographical environment and time evolution;With carbon emissions, thermal comfort, cost-effectiveness as the target, the green reconstruction technology integration coupled with wind, light and thermal environment is established.Through the application, more accurate data basis and convenience can be provided for green reconstruction of existing building in data collection and management.

The application provides a kind of based on edge computing's field survey data real-time modeling method and system, obtains the three-dimensional space point data of pre-set building group;Based on the surface curvature feature of three-dimensional space point data, three-dimensional space point data is dynamically spatial body unit division processing, to generate compressed spatial body unit data;Incremental modeling processing is carried out to compressed spatial body unit data, and structural discontinuous region is identified from incremental modeling processing result;The geometric topological relation of structural discontinuous region is repaired to space connection path, and continuous structure data is generated;Compressed spatial body unit data, incremental modeling processing result and continuous structure data are fused, and real-time updated building group three-dimensional model is generated.The application realizes the minute-level update of millimeter-level precision model in large building group field survey, breaks through the time efficiency bottleneck and structural continuity defect faced by traditional modeling method in limited equipment resource scene.

The invention discloses a natural resource information survey management method and system and a storage medium, and relates to the technical field of natural resource information survey management, and the method comprises the steps: obtaining the patrol information of a survey region, carrying out the vectorization of the map information of the survey region, and obtaining the simplified topological information of the survey region; performing spatial information extraction on the map information of the investigation area to obtain hierarchical distribution information of the investigation area; and according to the planning information of the investigation area, pre-planning information of the investigation area is preset. According to the method, the survey area is vectorized in advance to obtain the contour, the processing requirements of data loading and storage and the like are reduced, and the communication difficulty of a field survey use scene is reduced. And meanwhile, by simplifying the topology, the use intensity in an off-line scene can be reduced, and the use requirements on various scenes of natural resource investigation can be well met. According to the invention, the disadvantage in the prior art that a natural resource management scheme cannot comprehensively consider the use environment scene and the off-line resource for overall planning is effectively solved.

The invention provides a karst basin underground water vertical layering resource quantity evaluation method, and relates to the technical field of hydrogeology, and the method comprises the following steps: S1, dividing a karst underground water vertical zone, and sequentially dividing a research area into four areas from top to bottom according to stratum lithology, karst development degree and drainage point elevation; s2, calculating the distribution area of each region on the elevation by using the spatial analysis function of arcgis software; s3, according to field survey unified measurement data, spring points with different flows in different areas are selected, and then the spring domain range of each area is delineated, so that the average runoff modulus of each area is determined; s4, recalculating the underground water resource quantity of each region according to the area of each region and the corresponding average runoff modulus; and S5, generating a vertical distribution evaluation result according to the underground water resource quantity of each region. The method can make up the defects of the technology at the present stage by vertically obtaining the water resource quantity, and is suitable for popularization.

The invention relates to the technical field of geological exploration, in particular to an on-site exploration stratum logging method and system. The method comprises the following steps: identifying a layered boundary in a rock core image by using a deep learning image segmentation model; extracting a stratum interface in the logging curve through wavelet transform and multi-scale analysis; based on a multi-source feature fusion strategy of an attention mechanism and an auto-encoder, the stratigraphic boundary, the stratigraphic interface and the seismic facies feature vectors are combined to analyze comprehensive features of the stratigraphic boundary; according to a stratum attribute graph construction strategy of the graph neural network, associating a stratum reflection layer and the lithology classification feature vector in the radar image to obtain stratum attribute graph features; and constructing a comprehensive decision-making model of a random forest classifier and a rule engine, and generating a stratum catalog report by combining the landform boundary, the stratum boundary comprehensive features and the stratum attribute graph features. According to the method, the accuracy, objectivity and efficiency of the catalog result are improved by cooperatively processing the multi-source data.

The invention provides a mountain heavy hill asymmetric heavy load cable crane prestressed rock anchor position calculation method, which is characterized in that traditional rock anchor position determination depends on repeated geological survey: geological data is obtained through large-area drilling, a primary selection position is judged in combination with experience, then supplementary survey verification is carried out, if the requirement is not met, site selection is carried out again, and if the requirement is not met, site selection is carried out again; the process consumes a large amount of time, the survey period of a single project usually reaches several months, the drilling difficulty in mountain areas is large, the cost is high, the construction period is easily delayed by repeated operation, and especially for asymmetric heavy load working conditions, rock anchor stress distribution is uneven, and a traditional experience method is difficult to accurately match geomechanical characteristics. According to the scheme, a mountain three-dimensional model is constructed to simulate terrain and geologic features, candidate rock anchor positions are quickly screened in combination with an optimization algorithm, and then model parameters are verified through a small amount of field survey, so that the drilling frequency can be greatly reduced, and the position determination period is shortened.

The invention discloses a method for checking a heavy metal pollution source of agricultural land soil. The method comprises the following steps: S1, determining an investigation area and integrating data; s2, preliminary screening of remote sensing images; s3, field interview and field survey are carried out; s4, on-site auxiliary troubleshooting and preliminary screening; s5, laboratory verification and result judgment; and S6, summarizing the troubleshooting results, and integrating the position, type and pollution degree information of the pollution source to form a troubleshooting report. According to the invention, a plurality of technical means such as a geographic information system, satellite remote sensing, an unmanned aerial vehicle, portable X-ray fluorescence spectrophotometer on-site fast screening, personnel interview, on-site survey and laboratory detection are integrated to form a'sky-air-ground 'integrated cooperative troubleshooting mode, and a set of complete, standard and repeatable operation process is provided. Omnibearing traceability from macroscopic to microcosmic and from history to current situation is realized.

The present invention relates to the field of underground engineering technology, and discloses a method, device, equipment and storage medium for advanced prediction of rock mass quality. The method comprises: conducting a geophysical detection comparative test on a known target body to determine the noise critical value and optimize the inversion algorithm; obtaining multi-point geophysical detection results on the tunnel face facing the intended excavation direction, performing three-dimensional modeling and slicing processing on the multi-point geophysical detection results, and generating a two-dimensional map of the geophysical detection results; obtaining engineering geological survey parameters of multiple field survey points in the two-dimensional map of the geophysical detection results, and calculating the rock mass quality pre-evaluation value of each field survey point; obtaining the geophysical detection value of each field survey point, establishing a large model for advanced prediction of rock mass quality, drawing a rock mass quality fitting curve, and determining the advanced prediction value of the rock mass quality of the point to be predicted based on the geophysical detection results of the point to be predicted. The present application realizes the advanced quantitative evaluation of the rock mass quality in the area where the shaft and tunnel are to be excavated, effectively ensuring the safety of shaft and tunnel engineering construction in advance, and improving construction efficiency.

The application discloses a power transmission tower grounding optimization method based on fractal extension and vertical grounding body array, and belongs to the field of power transmission tower grounding design. In view of the problems that complex terrains such as mountains, cement roads and rivers make it difficult to lay horizontal grounding bodies according to conventional drawings, and the grounding resistance is prone to be out of standard, the method successively executes the following steps: collecting soil parameters, target resistance and maximum laying area through field survey; judging the laying difficulty of the horizontal grounding body and determining the fractal extension mode; setting initial parameters of the fractal extension and the vertical grounding body array; optimizing the parameters through a self-adaptive fractal grounding collaborative optimization algorithm; and generating a laying scheme. The method can ensure that the grounding resistance meets the standard in limited construction space, takes into account the construction feasibility and the utilization rate of the grounding body, and solves the problem of poor terrain adaptability of traditional laying.

The utility model discloses an on-site survey auxiliary device, and belongs to the technical field of survey. Comprising a measuring rod body; the butt joint column is in threaded connection with one end of the measuring rod main body; the drill bit column is rotationally connected into the butt joint column; and the counterweight disc seat is connected between the drill bit column and the butt joint column in a sliding manner and is elastically limited through a spring piece. According to the device, the balance weight disc seat and the butt joint column are elastically limited through the spring piece, so that the balance weight disc seat can be flexibly placed and used by selectively releasing elastic pressing and exposing a drill bit column according to the road surface condition of a to-be-surveyed area, and therefore the flexibility of placement and use of the device for surveying is improved; and the fixedly connected extrusion column can be driven to be in sliding extrusion fit with the extrusion groove, so that the drill bit column rotates in a limited mode, and the drill bit column drills into the soil pavement for stabilization.

This invention discloses a credibility generation method for high-precision map production. The credibility generation method includes: constructing a production process topology chain for high-precision maps; the production process topology chain sequentially includes a field surveying process, a field quality inspection process, a cartographic production process, and an office quality inspection process; calculating initial credibility values ​​for each of the field surveying process, field quality inspection process, cartographic production process, and office quality inspection process; establishing credibility transmission equations for the field quality inspection process, cartographic production process, and office quality inspection process based on the weighted result of the credibility of the preceding process and the historical credibility of the current process; the credibility of the preceding process refers to the credibility of the previous process, and the historical credibility of the current process refers to the credibility of the previous iteration process; performing credibility iterative optimization on the credibility transmission equations of each process until the iteration termination condition is reached. Based on this, this invention achieves accurate tracing of production quality problems and greatly improves quality inspection efficiency.

This utility model discloses a mobile geotechnical engineering survey measuring device, including three support legs, a rotating platform mounted on the three support legs, and a measuring instrument mounted on the rotating platform. Two of the triangular support legs are equipped with rotating grips, which rotate and merge to the same side, surrounding a single support leg. The sides of the rotating grips abut against the single support leg. This utility model, through the wrapping locking mechanism of the rotating grips, makes the three support legs form a rigid whole during movement, completely preventing loosening and shaking of components. At the same time, the grip handle combined with the self-adaptive nature of the grips significantly reduces handling fatigue. Furthermore, the overall structure simplifies the movement operation to a single-handed action without affecting the stability of the equipment, greatly improving the efficiency and safety of equipment relocation during field surveys.

The invention relates to the technical field of data processing, in particular to a data processing method and system for wetland field survey data. The method comprises the following steps: collecting multi-source data for wetland field investigation, and carrying out data preprocessing operation on the multi-source data to obtain preprocessed multi-source data; performing data coding on the preprocessed multi-source data to obtain coded data of the multi-source data so as to realize data processing of the wetland field survey data; in the data preprocessing link, a hierarchical analytic hierarchy process or a regional analytic hierarchy process is adopted to carry out dimension reduction processing on multi-source data, and the method is suitable for complex ecological system data with spatial heterogeneity, or facilitates improvement of analysis efficiency and accuracy, and avoids interference of secondary indexes on main indexes.

The invention relates to the technical field of image processing, and particularly discloses a remote survey method and device based on a convolutional neural network, equipment and a medium. Acquiring an accident scene image, and preprocessing the accident scene image to obtain a target scene image; performing image feature extraction on the target field image based on a convolutional neural backbone network of a preset survey model to obtain a target feature map; and performing parallel processing on the target feature map based on each subtask branch in the survey model to obtain a remote survey report. According to the method, the multi-dimensional features of the accident scene image are extracted through the neural convolutional backbone network, and the subtasks are executed in combination with parallel task branches, so that the problems of insufficient feature extraction and poor task adaptability of a traditional method are effectively solved, and the survey efficiency and accuracy are improved. When the method is applied to the field survey service of financial insurance (such as property insurance), real-time survey can be realized, the damage condition of the insurance object can be quickly and accurately obtained, and the claim settlement efficiency is improved.

The utility model relates to the technical field of field survey, and discloses a portable surveying instrument for field survey, which comprises a shell, the bottom of the shell is fixedly connected with a fixed disc, the bottom of the fixed disc is rotatably connected with a connecting column, the bottom of the connecting column is fixedly connected with a plurality of annular blocks, and the annular blocks are fixedly connected with the shell. Wherein the close sides of the two annular blocks are rotationally connected with rotating blocks, the bottoms of the rotating blocks are fixedly connected with two connecting rods, the close sides of the two connecting rods are fixedly connected with fixed columns, the interiors of the fixed columns are slidably connected with sliding columns, and the front sides of the sliding columns are fixedly connected with limiting rods. According to the utility model, the height can be quickly and accurately adjusted in different field terrains, the measurement view angle and range are optimized, the operation flexibility is enhanced, the interference of external force such as vibration and collision can be resisted, the internal elements are stabilized, and the accuracy of measured data and the durability of the instrument are powerfully ensured.

This invention provides a stratified sampling method, system, and storage medium for soil remediation. The method includes: integrating historical knowledge base and field survey data; generating a three-dimensional posterior probability distribution and uncertainty field of pollutants using a Bayesian model; generating sampling cells using non-uniform Voronoi partitioning based on the uncertainty intensity plane map; automatically identifying key candidate sampling depths on the vertical probability profile of each cell by analyzing local extrema and curvature changes; calculating priority scores by comprehensively considering the uncertainty, probability value, and derivative amplitude of each depth; and selecting the optimal sampling points after global sorting.

A method can include receiving scenarios for one or more field sites, where the scenarios account for performance and non-performance of a field survey; generating fluid flow results for each of the scenarios for the one or more field sites; receiving probabilities for at least one technical field survey criterion; and generating values, based on the fluid flow results and the probabilities, that quantify the performance of the field survey at the one or more field sites.

The utility model provides an on-site investigation shielding device which comprises a plurality of supporting columns and shielding devices connected between every two adjacent supporting columns, clamping blocks are arranged on the side walls of first barrels of the supporting columns, buckles are arranged on shielding cloth of the shielding devices, the supporting columns and the shielding devices can be connected by connecting the corresponding clamping blocks and the buckles, and disassembly is also convenient. The supporting legs at the bottoms of the supporting columns are hinged to the sliding blocks in the supporting columns, the supporting legs can be stored in the supporting columns when not used, the storage space is saved, and the supporting legs are pulled out and manufactured through the supporting assemblies when used; shielding cloth of the shielding device is wound on a rotating shaft, the bottom end of the rotating shaft is connected with a spring, the spring can provide rotating power for the rotating shaft, when the shielding cloth is pulled out, the spring is stressed, when the shielding cloth is loosened, the spring is not stressed any more, the rotating shaft is driven to rotate, and therefore the shielding cloth is stored in a second barrel, and storage and use are convenient.

This invention discloses an automated method for extracting vegetation cover (FVC) in field camera surveys, comprising the following steps: inputting an RGB electronic photograph to be processed; calculating the greenness index and color saturation of the RGB electronic photograph; determining the threshold for segmenting vegetation based on the greenness index pixel by pixel using color saturation; identifying vegetation pixels based on the greenness index and the pixel-by-pixel threshold; and calculating the proportion of vegetation pixels to the total number of pixels in the RGB electronic photograph to obtain the vegetation cover. This method can determine the optimal threshold for segmenting vegetation using ExG on a pixel-by-pixel basis for RGB electronic photographs imaged under different lighting conditions and terrain scenes, thereby achieving high-precision automated extraction of vegetation cover (FVC). It facilitates the rapid and accurate acquisition of quadrat-scale vegetation cover data during field surveys. Its principle is simple, easy to implement, highly adaptable, highly automated, and widely applicable, making it valuable in fields such as ecology, geography, and remote sensing.

The invention provides a portable in-situ direct shear apparatus. The portable in-situ direct shear apparatus comprises a movement limiting groove formed in a bearing platform, a mechanical arm assembly electrically connected with a monitoring system and a shearing assembly. The moving limiting groove is used for placing soil blocks; the mechanical arm assembly comprises an electric mechanical arm; the electric mechanical arm is fixedly connected with the bearing platform through the center stand column. The electric mechanical arm is connected with a rotary driver, or is connected with a soil sample cutter, or is connected with a shear box cover; a soil sample fixer is arranged on one side, facing the movement limiting groove, of the central stand column; a cutting ring device is arranged at the bottom of the rotary driver; the shearing assembly comprises a first shearing box, a second shearing box, a shearing box cover and a horizontal transmission assembly; the horizontal transmission assembly is connected between the second shear box and the central upright post; the monitoring system comprises a displacement sensor, a host and a display screen. And the displacement sensor is connected with the second shear box. The problems that during field investigation, an existing direct shear apparatus is inconvenient to carry, and the shear strength index of an undisturbed soil sample is difficult to rapidly obtain are solved.

The invention relates to the technical field of house monitoring, and particularly discloses a house structure deformation monitoring system, which comprises a user side, a server side and a working side, the user side is used for uploading wall surface crack data, and the wall surface crack data comprises a crack image and the position of a crack; the server comprises an analysis module and a work order distribution module; the analysis module is used for identifying the severity of the crack according to the position of the crack and the crack image; the work order distribution module is used for generating a monitoring work order according to the severity of the crack and issuing the monitoring work order to the working end; the working end is used for uploading on-site survey information; and the analysis module is also used for generating a settlement deformation analysis report according to the field survey information. According to the technical scheme, the owner feedback process can be simplified, and the deformation risk can be effectively evaluated.

The application belongs to the technical field of power grid supervision, and discloses a distribution network project review intelligent supervision system and method. The system comprises an industry expansion project receiving module, a data processing module, a project analysis module and an information output module. According to the received application information of the distribution network project review, the application determines the key project information of the distribution network project, and then obtains the corresponding analogous project based on the key project information. According to the survey level of the field survey data in the analogous project, the key coefficient of the field survey data is calculated, and based on the key coefficient of the field survey data, the key collected data is determined. Then, the key collected data is transmitted to the terminal equipment of the field personnel. The field personnel views the key collected data through the terminal equipment, improves the completion degree of the field survey data collected at one time by the field personnel, and further improves the distribution network project review efficiency and speeds up the project review period.

The invention is suitable for the field of geological data collection and processing, and provides a geological report processing method and system based on artificial intelligence, and the method comprises the following steps: predicting the signal intensity of each survey point according to the geographic coordinates of a survey task area and historical network coverage data; generating a survey path containing a relay node in an area in which the predicted signal strength is lower than a threshold value; establishing a relay network at the planned relay node for realizing local network coverage of the survey task area; and uploading the data of the surveying equipment to the cloud through the relay network, and generating a geological report. According to the invention, the network coverage and data transmission process is optimized through an intelligent means, the operation cost of field survey is reduced, and the timeliness and systematicness of geological data processing are enhanced.