29 results about "Field survey" patented technology

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 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 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 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 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.

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 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.

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 relates to a landslide susceptibility assessment method based on spatiotemporal enhancement and heterogeneous integration, belonging to the field of geological disaster prediction technology. First, spatiotemporal benchmark unification and sample balancing are constructed using multi-source heterogeneous geospatial data of the study area. Then, a three-level progressive framework of "heterogeneous base learner – meta-feature secondary encoding – dual-channel deep cross-fusion" is used as the core. Three heterogeneous base learners—random forest, XGBoost, and LightGBM—are used to output leak-free meta-probability features through temporal cross-folding. Next, the original high-dimensional factors and meta-features are input into a deep sub-network via a "spatial-semantic" dual-channel approach, and cross-fusion is completed using adaptive gating weights. Finally, the landslide occurrence probability is output. Experiments show that this method outperforms traditional single models in multiple metrics such as ROC and PR, and can significantly improve the accuracy and robustness of susceptibility mapping without increasing field survey costs, providing a highly reliable decision-making basis for mountainous land spatial planning and early disaster warning.

The present invention relates to a water collection device used for various environmental measurements such as water quality testing, water supply and sewage diagnosis, and water resource field surveys. A U-shaped plate body, comprising a main plate (21) and a side plate (22), and a circumferential plate (30) are joined together. An adhesive layer (41) is formed on the inner surface of the circumferential plate (30) and on a reciprocating plate (40) mounted on the circumferential plate (30) to which the surface of a soft water collection bottle (10) adheres. An extension rod (50) is joined to the circumferential plate (30) or the side plate (22), so that a soft water collection bottle (10) is inserted into the circumferential plate (30) and loaded. Through the present invention, the convenience of water collection work using a soft water collection bottle (10) can be dramatically improved, and direct water collection is possible by directly immersing the soft water collection bottle (10) in water, thereby preventing secondary contamination or mixing of impurities into the sample and improving the reliability of the sample.

The application discloses a field surveying and mapping support for forestry investigation and relates to the technical field of surveying and mapping support equipment, which comprises a base, supporting legs, supporting plates, handrails, a mounting seat, the upper end of the base is slidably provided with a plurality of supporting plates, the outer end of each of the supporting plates is movably provided with a supporting leg, the upper end of the mounting seat is detachably provided with surveying and mapping equipment, the front upper portion of the base is provided with an operating mechanism, two handrails are arranged on the side of the operating mechanism, and the two handrails are driven to move through a folding mechanism. Mechanical linkage between the lifting mechanism, the sliding mechanism and the supporting mechanism realizes height compensation of the mounting seat during expansion and support of the equipment, the mountain wheels at the bottom of the equipment facilitate movement in the forest land, handheld equipment is avoided, the traditional tripod ground support mode is abandoned, adaptation to most terrains is realized, and the effect of preventing side turning is achieved.

This invention discloses a roof blasting pressure relief method based on stratigraphic division and weighted comprehensive scoring, belonging to the field of roof blasting pressure relief. The method includes: obtaining geological condition parameters of the working face under test through field surveys; dividing the main fault and secondary caving layers and calculating the theoretical caving zone stratum thickness; determining blasting parameters, including determining the roof-breaking blasting height, borehole layout, blasting angle, borehole depth, and single-hole charge; deploying microseismic sensors and conducting downhole monitoring; and evaluating the roof-breaking effect after blasting. This method can quickly set blasting parameters for roof-breaking technology and rapidly evaluate the blasting effect to adjust subsequent blasting operations. It significantly improves the safety and economy of roof-breaking blasting, is suitable for deep mines, complex geological conditions such as composite roofs, and provides a systematic solution for rockburst prevention.

The application relates to the technical field of power systems, and discloses a sublayered soil condition-based substation grounding grid collaborative optimization method, measurement lines and measurement points are arranged in a substation site, the Wenner four-electrode method is used to measure resistivity, a field survey data set is formed, a composite soil structure model containing horizontal sublayering and vertical sublayering is constructed, forward calculation and inversion calculation are carried out, optimal composite soil structure parameters are obtained, a simulation model of the substation grounding grid is established, a multi-objective particle swarm optimization algorithm is used to collaboratively optimize the grounding grid, and an optimized grounding grid design scheme is output; the application constructs the composite soil structure model containing horizontal sublayering and vertical sublayering, carries out forward calculation and inversion calculation based on the field measured data of the Wenner four-electrode method, and obtains the optimal composite soil structure parameters, so that the authenticity of the soil model and the accuracy of the grounding grid simulation calculation are significantly improved, reliable data support is provided for subsequent optimization, and the accuracy of the optimization is ensured.

The present application relates to the technical field of tunnel construction, and more particularly to a construction method for intelligent management and control of risks of surface and underground in the process of passing through poor geological zones, which uses advanced geological prediction and field survey data to detect positions such as fault fracture zones and weathered alteration deep grooves, and divides shallow buried sections, water-rich pressurized sections and non-pressurized sections, adopts superfine cement-water glass double-liquid grouting, long pipe shed and steel support disposal for different poor geologies, builds a BIM model and calculates the construction disturbance transmission range based on the internal friction angle of the stratum, and accordingly builds a risk coupling mapping diagram with the surface risk source, adopts earth pressure shield construction for balance excavation for the water-rich pressurized section, adopts double-shield TBM construction for the non-pressurized section and switches to drilling and blasting auxiliary mode when joint fracture zones are encountered, and adjusts the excavation speed and grouting parameters through real-time monitoring data combined with the risk coupling mapping diagram, thereby realizing the coordinated and safe management and control of the surface and the underground in complex environments.

The invention relates to the technical field of forestry safety survey, and discloses a forestry survey engineering construction method, which comprises the following steps: firstly, entering a target forest region, and enabling survey personnel to complete field investigation on trees in the target forest region by observing the appearance characteristics of the trees, sampling and analyzing or using professional forestry tools; different tree species are classified and counted, at the same time, the ages of the trees are recorded, these surveys are referred to as early surveys, GPS receivers or devices are placed at key locations within a target forest region, the GPS receivers or devices are utilized to record the accurate geographic coordinates of each survey point for geographic reference for subsequent measurement and analysis, and the accuracy of the survey points is improved. The step is to ensure the geographic accuracy of subsequent data. According to the method, various sensors are arranged in the target forest area to monitor various data of the target forest area, so that the times of entering the target forest area to track data change and monitor ecological system health by reconnaissance personnel can be reduced, the workload of the reconnaissance personnel is further reduced, and the monitoring difficulty is greatly reduced.

The invention discloses a hidden ore body three-dimensional positioning management method and system based on artificial intelligence, and relates to the field of three-dimensional positioning management. Multi-dimensional geological influence factors are converted into an ore body existence probability predicted value through an existence mapping model trained by historical data; the problem of judgment deviation caused by the fact that a traditional method depends on artificial experience is solved; secondly, a calibration model between a probability prediction value and an actual existence rate is constructed through field survey results of a preset threshold value in a plurality of experimental areas, and system errors of model prediction are effectively eliminated; and finally, a single probability prediction value is converted into an optimal exploration decision threshold through a dynamic threshold iterative optimization algorithm, so that the exploration priority of a high-probability region is ensured, and resource waste of a low-probability region is avoided. According to the multi-layer mapping structure, the exploration success rate is remarkably improved, meanwhile, the subjective judgment risk is reduced through the quantitative decision basis, and the mineral resource discovery accuracy is greatly improved while the exploration cost is reduced.

The application discloses a kind of top coal fracture network reconstruction methods based on three-dimensional modeling, belong to mining information field, including: through field survey and sensor acquisition top coal fracture initial data, and analyze the morphological change characteristics of top coal fracture initial data, obtain the narrowing distribution model of fracture from opening to deep part;Non-uniformity degree is determined based on the narrowing distribution model acquisition geological condition parameter;Three-dimensional dynamic index is extracted from non-uniformity degree, and preliminary space frame is constructed, and the expansion state of fracture in depth direction is obtained;The expansion state of fracture in depth direction is fused with geological condition parameter, and fracture behavior simulation is carried out, and the dynamic adjustment scheme of space network is determined;Based on dynamic adjustment scheme, obtain the optimized three-dimensional model;Fracture behavior prediction value is extracted from the optimized three-dimensional model, and the final top coal fracture network reconstruction result is obtained.The application effectively improves the accuracy and reliability of fracture network analysis under complex geological conditions.

The utility model relates to the technical field of engineering surveying and mapping, and discloses an on-site surveying and mapping device for engineering cost, which comprises a surveying and mapping instrument, the outer wall of the bottom end of the surveying and mapping instrument is detachably connected with a fixing plate, the outer wall of the bottom end of the fixing plate is fixedly connected with a hinge block, and the outer wall of the hinge block is provided with a stabilizing mechanism. According to the device, firstly, the supporting rods are unfolded to preliminarily stabilize the device, then the threaded rods are rotated to release fixation of the fixing rods, the fixing rods are adjusted to proper positions, the threaded rods are rotated to fix and lock the fixing rods again, and the sliding rods on the fixing rods with one suspended side are pulled out of the sliding sleeves; when the sliding sleeve is adjusted to drive the fixing cone to the position closest to the ground, the sliding rod is placed in the clamping groove of the fixing rod to fix the sliding sleeve, the threaded rod is rotated again to relieve locking and fixing of the fixing rod, and then the fixing rod is lowered to make the fixing cone make contact with the ground. Therefore, the problem that in the prior art, a special terrain adjusting and stabilizing support is tedious and troublesome is solved.

This invention relates to the field of scientific afforestation and discloses a method for recommending vegetation species based on random forest machine learning. The method includes the following steps: acquiring field survey data of afforestation plots; parameterizing the survey data in the plot attribute database based on plant ecology principles; constructing a vegetation species recommendation model using a random forest algorithm; performing multi-scale spatial independence verification and interpretability analysis on the vegetation species recommendation model; optimizing the vegetation species recommendation model based on the analysis results; and outputting recommended vegetation species and corresponding decision-making criteria. By parameterizing the field survey data of afforestation plots to construct a feature set, constructing a vegetation species recommendation model using a random forest algorithm, and performing multi-scale spatial independence verification and interpretability analysis on the model, the recommendation model is optimized based on the analysis results. This achieves accurate learning of the complex nonlinear relationship between vegetation species and the site environment.

This invention relates to the field of engineering data acquisition technology, and in particular to a collaborative acquisition method and system for engineering survey data based on pre-deployment guidance; it includes the following steps: S1, setting up a pre-filled field database; S2, setting up a semi-structured template, setting pre-filled fields and fields to be filled; S3, locating the location points to be collected for field personnel through dual-mode positioning, automatically loading the pre-filled values ​​of the location points to be collected, and simultaneously acquiring core photos, fracture features, and corrected coordinates of each borehole; S4, synchronously recording the acquired core photos, fracture features, corrected coordinates of the boreholes, and corrected permeability levels into the fields to be filled in the semi-structured template in real time; S5, loading a three-dimensional scene onto the boreholes after the completion of field surveys; improving the synergy between office and field work, and increasing the efficiency of engineering survey data acquisition.

The utility model discloses a fish species sorting device suitable for field investigation. The device comprises a handle, universal wheels, a device body, an inner ring assembly, a connecting block, a connecting adjusting mechanism, a collection containing area, a classification containing area and a classification containing box. Handles are connected to two sides of the device body, and universal wheels are mounted at the bottom of the device body; an inner ring assembly, a collection containing area and a classification containing area are arranged in the device body, the collection containing area is arranged on the inner side of the inner ring assembly, and the classification containing area is arranged on the outer side of the inner ring assembly. The inner ring assembly and the device body are suspended in the device body through the connecting blocks; connecting adjusting mechanisms are arranged on the two sides of the connecting block, a classified containing box is installed in the classified containing area, and the classified containing box is of a telescopic structure. Through the design of integrating the handle, the universal wheels, the inner ring assembly, the connection adjusting mechanism, the volume-adjustable classified containing box body and the like, the portability and maneuverability of the equipment are remarkably improved, and the equipment can efficiently move and operate in a complex field environment.

The invention discloses an engineering construction project land argumentation and analysis system based on multi-source data. The engineering construction project land argumentation and analysis system comprises a preprocessing module, a conversion module, a partitioning module and a prediction module, the preprocessing module is used for acquiring construction land resource field survey data and generating standard construction land resource field survey data; the conversion module is used for acquiring multi-source geographic information data and generating multi-source geographic elevation data; the zoning module is used for performing topographic feature analysis on the multi-source geographic elevation data and generating regional zoning land parcels and functional zoning land parcels; the prediction module is used for performing land parcel coincidence marking on the regional partition land parcels and the functional partition land parcels, generating a planning and construction simulation model, and generating a land utilization planning scheme for display according to the planning and construction simulation model; the method and the system are used for solving the technical problem that an existing engineering construction land analysis system lacks comprehensive analysis on land planning, so that the accuracy and the operability of an engineering construction land analysis planning result are insufficient.

The invention discloses a cross-spatial scale soil salinity prediction and cause analysis method, and relates to the technical field of saline-alkali soil evaluation. The method comprises the following steps: by taking the same geographical origin as a center, respectively establishing double-circle research areas with the radiuses of 25km and 50km for soil sampling, and synchronously recording longitude and latitude, altitude and land utilization information; the salt content of the soil is measured according to 0-0.3 m, 0.3-0.6 m and 0.6-1 m in a layering mode; collecting four types of environmental variable data of climate, terrain, vegetation and soil attributes and extracting the data to sampling points; constructing a soil salinity prediction model based on the integrated model; carrying out model precision verification; sHAP analysis, geostatistics and field survey data are integrated, a'drive-process-response 'causal framework is constructed, and salinization causes are analyzed. According to the method, multi-scale sampling and modeling design are nested, machine learning and interpretability analysis are fused, a scale-dependent salinization cause analysis framework is provided, and a high-precision prediction tool and a targeted treatment basis are provided for salinization prevention and treatment.