32 results about "Survey methodology" patented technology

The invention relates to the technical field of geological survey, in particular to an unmanned aerial vehicle multispectral geological survey method and system, and the method comprises the steps: fusing a multispectral image, a digital elevation model, geophysics and historical geological data, systematically constructing a geological feature priori knowledge model, including lithology, construction and alteration feature libraries, and mapping with multispectral data; multi-scale geologic features are extracted through adaptive wavelet transform and morphological analysis, and feature weight adaptive adjustment is achieved; geological units are accurately divided by adopting geological scene perception superpixel segmentation and combining geological boundary constraint and similarity recursion combination; identifying an interference mode, generating an adaptive filtering matrix, and enhancing image quality; cooperatively interpreting multi-source information by using a deep auto-encoder network to generate a high-precision geological interpretation map and a confidence map; geological professional knowledge is introduced, so that the geologic body recognition accuracy is remarkably improved; the adaptive flight control strategy ensures the consistency of complex terrain data, and improves the precision and efficiency of geological survey.

The invention discloses a method for depicting and analyzing a heavy non-aqueous phase pollution site based on microbial structure information, which comprises the following steps of: based on a historical geological survey report and a historical leakage event, defining a pollution analysis area, and constructing a site pollution conceptual model by combining high-density resistivity with a stable isotope tracer method; performing sample collection and detection on the target area to obtain area sample detection information; performing microflora analysis according to the regional sample detection information, and judging a potential pollution retention region of the target region to obtain pollution region analysis information; carrying out multi-source data coupling by combining pollution area analysis information and area sample detection information, and carrying out pollution field three-dimensional description on a target area to obtain an area DNAPLs pollution condition diagram; a degradation function gene interaction network is constructed, restoration potential grading is performed on a target area, and area restoration suggestion is performed, so that the limitation of a traditional investigation method is broken through, and accurate analysis and restoration assistance of pollution distribution are realized.

The invention discloses a rapid comprehensive survey method and system for natural hydrogen resources, and the method comprises the steps: rapidly delineating a prospective area through remote sensing and geochemical measurement, fusing aviation gravity and magnetism, earthquake, time-frequency electromagnetism and ground geological survey multi-source data, finding out the characteristics of hydrogen source rock, a migration channel, a reservoir stratum and a cover stratum through the integrated evaluation of source-communication-storage-cover, and carrying out the comprehensive survey of the natural hydrogen resources. A target area is optimized through multi-information fusion, drilling verification is carried out, and efficient exploration of natural hydrogen resources is achieved. According to the method, the potential of the natural hydrogen resource can be rapidly and accurately evaluated.

The application discloses a kind of investigation methods of construction site foundation pit dewatering staggered to sewage system, using sensor and real-time data monitoring system, realize accurate capture and analysis drainage system water quality, flow, liquid level long sequence variation, improve the accuracy of investigation result;Through sensing technology and data analysis, the source of foundation pit dewatering staggered is quickly positioned, is favorable for timely taking measures to correct, improve investigation efficiency;At the same time, manual intervention and related equipment use are reduced.

The invention relates to the technical field of ecological restoration, and discloses an investigation and matching restoration method used before restoration of a degraded forest, comprising an investigation method and a restoration method, analyzing the factor change of the degraded forest by using the investigation method, and matching a restoration model in the restoration method according to the factor change. According to the investigation method designed by the invention, factors with growth and development retardation and degeneration in the growth process of the protection forest in the later period are analyzed so as to analyze the change of the factors in the environment, the restoration model in the restoration method is matched by analyzing the change of the factors, and the degenerated forest is stably and efficiently transformed according to the restoration model; and the quality and the ecological service efficiency of the mountain forest in the karst landform and at the high altitude are improved.

The application discloses an open-pit mine annual resource consumption survey method, system, device and medium based on unmanned aerial vehicle oblique photography, relates to the field of mineral resources, and comprises the following steps: acquiring image data of at least two years of an open-pit mine by using an unmanned aerial vehicle carrying an oblique photography system; laying out ground control points and acquiring a reference data set; generating a three-dimensional real scene model of a corresponding year by means of aerial triangulation operation based on the image data and the reference data set; constructing a three-dimensional vector model of a mine body, and connecting the three-dimensional vector model of the mine body with the three-dimensional real scene model to obtain a connected three-dimensional model of the mine body; calculating a soil and stone quota based on connected three-dimensional models of the mine body of adjacent years; and calculating an annual resource consumption of the open-pit mine based on the soil and stone quota. The application can realize rapid and accurate statistics of the annual resource consumption of the open-pit mine.

The invention relates to the technical field of wildlife monitoring and ecological protection, and discloses an unmanned aerial vehicle flight parameter adaptive optimization waterfowl population investigation method, which comprises the following steps: firstly, constructing a multi-dimensional aerial image interpretation mark library, carrying out a flight parameter and waterfowl disturbance response correlation test, establishing a quantitative behavior response spectrum, and then, carrying out unmanned aerial vehicle flight parameter adaptive optimization on the quantitative behavior response spectrum. According to the method, a frightened flight distance probability model is constructed according to a response spectrum, a minimum safety monitoring distance threshold value is calculated, an optimal monitoring flight parameter combination is determined in combination with statistical accuracy and environmental factors, and then an aerial photography task is executed to obtain population data. A dominant limiting factor is identified to generate a repair countermeasure, and a dynamic protection partition is delimited. According to the method, the contradiction between the image resolution and the safety of wild animals in unmanned aerial vehicle monitoring is effectively solved, and accurate decision-making of waterfowl protection and habitat restoration is realized.

The invention discloses a cadastral survey method and device and a medium, and relates to the field of urban planning, and the method comprises the steps: obtaining the spatial features of a survey object according to the type of the survey object; according to the two-dimensional features of the investigated object, correcting the spatial features of the investigated object to obtain a three-dimensional body model of the investigated object; correcting the three-dimensional body model; and according to the three-dimensional body model, obtaining a boundary point of the investigated object so as to obtain a boundary point with an elevation and a cadastral map of the investigated object, thereby perfecting the cadastral information of the investigated object. According to the method, the multi-dimensional spatial relationship can be accurately expressed, and the integrity and accuracy of cadastral survey are realized.

An automated conversational survey system according to one embodiment of the present invention comprises: a survey input unit that receives content in accordance with a form of a survey; a preprocessing unit connected to the survey input unit to analyze the input content for each survey item and sequentially generate questions; an output unit connected to the preprocessing unit and outputting voice or text for each survey item; a response input unit that receives voice or text of a survey respondent; a determination control unit connected to the preprocessing unit and the response input unit, and determining a situation for received response content and classifying and responding to same according to a scenario; and a storage unit connected to the determination control unit to store survey content information.

The application discloses a cadastral survey method, equipment and medium, and relates to the field of urban planning.The method comprises the following steps: acquiring the spatial features of a survey object according to the type of the survey object; correcting the spatial features of the survey object according to the two-dimensional features of the survey object to obtain a three-dimensional body model of the survey object; correcting the three-dimensional body model; obtaining the boundary point of the survey object according to the three-dimensional body model, thereby obtaining the boundary point with elevation of the survey object and a cadastral map, and thereby perfecting the cadastral information of the survey object.The application can accurately express multi-dimensional spatial relationships and realize the integrity and accuracy of cadastral survey.

The application discloses a soda saline-alkali soil obstacle layer three-dimensional investigation method, device and equipment based on multi-source data fusion, relates to the field of metrology pedology, and comprises the following steps: acquiring ground surface spectrum data by using a unmanned aerial vehicle to analyze the spatial variation scale of a saline-alkali spot, and accordingly, adaptively formulating a multi-frequency electromagnetic induction survey scheme; synchronously acquiring apparent conductivity and spectrum indexes of a survey line; combining typical calibration sections, directly pushing sampling and indoor detection to acquire saturated mud conductivity and alkali degree measured samples; adopting adaptive layered space interpolation to generate a high-resolution section data set; further fusing multi-source data to establish a random forest machine learning prediction model, realizing quantitative prediction of saline-alkali indexes and identification of obstacle layers of the whole line; and finally, generating a plot-scale high-resolution soil obstacle layer three-dimensional distribution map through three-dimensional space reconstruction. The application realizes rapid, nondestructive and high-resolution three-dimensional investigation of obstacle layers of a large range of soda saline-alkali soil by relying on a small amount of drilling calibration models.

The invention provides a natural ecosystem investigation method. The natural ecosystem investigation method comprises the following steps: S1, acquiring a high-resolution remote sensing image and DEM data, and dividing ecosystem types; s2, typical ecological problems of the ecological system are determined, sample plot design and sample plot dynamic arrangement are carried out, investigation points are arranged in a sample plot, and sampling analysis is carried out; and S3, performing data analysis according to the plaque partition map, the sample plot location map and the remote sensing image map. According to the dynamic survey method combining quadrat / transect and sampling point actual ground survey, the mutual verification of ground, remote sensing and model data is realized by combining a satellite remote sensing and model simulation technology with multiple data sources, typical / important ecological problem partitions in a watershed ecosystem range are found out and verified, and a watershed ecological system is established. Support is provided for design and implementation of the ecological engineering project, and a data index basis is provided for acceptance of the ecological engineering project.

The application discloses a sampling investigation method and system considering the balance of power market member distribution. Information reflecting the power market member distribution is selected, including power consumption information, distribution coordinates and regional information. A corresponding quantitative balance index is calculated based on the information, and then a distance sum is obtained. The sampling investigation result considering the balance of the power market member distribution is obtained by combining the distance sum with a penalty function. The application has more stable effects in maintaining regional fairness and transaction power fairness, and the obtained questionnaire is more typical, can fully reflect the overall situation of the power market, and can modify the weight parameter according to the demand to obtain more targeted results.

This invention discloses a method for monitoring the number of trees in a region based on a cross-scale nested model. The method includes: regional partitioning and quadrat layout based on satellite remote sensing data; acquiring UAV imagery of the quadrats, automatically identifying and counting the number of trees within each quadrat using a deep learning object detection model, and generating quadrat labels; extracting the corresponding satellite multidimensional features of the quadrats and aggregating them to the quadrat scale; constructing and training a machine learning regression model using the quadrat feature vector as the independent variable and the quadrat label as the dependent variable; and applying the trained model to global satellite feature data to achieve spatial inversion and mapping of the number of trees in the region. This invention, through a two-layer nested architecture of UAV deep learning and satellite machine learning, achieves a scale conversion from high-precision quadrat calibration to high-efficiency regional inversion, solving the problems of high cost and low efficiency of traditional survey methods, as well as insufficient accuracy of single remote sensing methods.

The application discloses a rural house and land integrated investigation method based on multi-source data fusion and intelligent cooperation, and has the characteristics that house and land data are acquired and preprocessed and coded to obtain first data; the first data includes real estate unit number; external operation right ownership investigation data is acquired to serve as second data; the second data includes land ownership information; supplementary cadastral data is acquired to serve as third data; the third data includes a repaired house graph; the first data, the second data and the third data are subjected to investigation office processing to realize rural house and land integrated investigation. The method integrates multi-source data to form high-precision and high-present-situation cadastral results, the results provide the most direct and most accurate data support for land space planning compilation, old village reconstruction, land expropriation compensation, illegal land use treatment and the like, and improve the problems of operation difficulty and low efficiency of traditional measurement in dense house areas.

The present application relates to a kind of field investigation method for the terrestrial vegetation investigation of nuclear power plant, by surveying field topography, laying vegetation investigation sample line, investigating field terrestrial vegetation, collating data, can carry out flora analysis to seed plant in survey area, explain the vegetation and formation type of survey area around plant site, the key protection plant and ancient tree distributed in survey area, also can estimate productivity.The method provided by the present application covers the steps of field vegetation investigation, the principle of vegetation sample line layout, data collation method and productivity estimation method, and gives the example of using the present application to carry out field vegetation investigation.Moreover, the method provided by the present application can clearly determine the investigation method of terrestrial ecological vegetation around nuclear power plant based on the reference of existing terrestrial ecological data, which is a necessary condition for providing basic data for the later construction and operation of nuclear power plant.

The invention discloses a plot environment governance scheme generation method and system based on multi-source data fusion, and relates to the technical field of environment monitoring. Satellite remote sensing, unmanned aerial vehicle aerial survey and ground monitoring data are acquired through multi-source data acquisition; performing quality control and space-time standardization processing on the data; adopting an ensemble Kalman filtering assimilation algorithm to fuse multi-source data to generate a high-precision environmental parameter spatial distribution diagram; performing soil pollution, ecological environment and human health risk assessment based on the distribution map; finally, a scheme containing the governance technology and land planning suggestions is automatically generated through a rule engine and a knowledge base, the system comprises a data collection module, a preprocessing and quality control module, a data fusion engine module, an environment evaluation model base module and a governance scheme intelligent generation module, and the limitation that points replace surfaces in a traditional investigation method is overcome; the full-process automation from data perception to intelligent decision making is realized, and the comprehensiveness of environment investigation, the accuracy of evaluation and the scientificity and efficiency of governance decision making are improved.

The application discloses a kind of agricultural pollution source investigation method and system based on stratified random sampling, it is related to agricultural environmental monitoring technical field, which comprises: the planting production pollution load and livestock breeding production pollution load of target area are calculated respectively;Based on the planting production pollution load and livestock breeding production pollution load of target area, the pollution load grade of each to be investigated field plot and each to be investigated breeding farm in target area is determined;Load area grade is high load, medium load or low load;The minimum sample size sampling method is used to stratified sampling to the to be investigated field plot or to be investigated breeding farm under different pollution load grades, and the final sampling survey sample size of the to be investigated field plot and the final sampling survey sample size of to be investigated breeding farm under different pollution load grades are obtained;The stratified sampling includes: first-level stratified sampling and second-level stratified sampling.The application improves the accuracy and scientificity of agricultural pollution source investigation result.

The invention discloses a desert vegetation multi-level investigation method of a single-voyage unmanned aerial vehicle, and belongs to the technical field of ecological environment monitoring and remote sensing. The invention provides a method for synchronously acquiring visible light and multispectral images through single-voyage flight, which ensures that data are highly consistent in time, space and attitude parameters, reduces the registration error of multi-source data from the source, and provides a basis for realizing high-precision fusion; meanwhile, the invention provides a digital elevation model generation method based on spectral index mask constraint, and vegetation points and ground points can be automatically and accurately separated in a sparse vegetation region, so that false terrain uplift is eliminated, and high-fidelity terrain data is obtained. The invention further provides an individual-plaque-landscape step-by-step aggregation ecological index inversion method to realize hierarchical association and collaborative expression of indexes of different scales, so that the problem of index dispersion is solved, and the structuralization degree of a quadrat survey data set is improved.

The invention discloses an industrial land and industrial park investigation method, which comprises the following steps: S1, acquiring basic data, and preprocessing the acquired basic data to obtain preprocessed basic data; s2, performing data extraction on the preprocessed basic data to obtain an extraction result of the basic data; s3, compiling an industrial land and industrial park investigation base map according to the extraction result of the basic data; s4, acquiring industrial land condition information on the industrial land industrial park investigation base map by taking an industrial land parcel as a basic investigation unit; on the industrial land industrial park investigation base map, taking a land parcel in an industrial park as a basic investigation unit, and obtaining industrial park condition information; and S5, integrating the industrial land condition information and the industrial park condition information with a land enterprise production database, and performing quality inspection. According to the invention, automatic integration and standardized management of multi-source data can be realized, and repeated investigation and manual verification cost can be reduced.

The application relates to the technical field of ecological protection, in particular to a method for investigating ecological protection red line based on land space planning, which comprises the following steps: through data collection, including satellite remote sensing, unmanned aerial vehicle aerial survey and ground sensor and the like, high-precision spatial data of ecological elements such as vegetation coverage, surface water distribution and soil erosion intensity are obtained. In combination with time-space feature matching and an improved spatial clustering algorithm, ecological elements are dynamically partitioned, and an ecological factor dynamic partitioning map is generated. Based on the map, a three-dimensional ecological sensitivity evaluation model is constructed, and a dynamic threshold adjustment algorithm is adopted to automatically optimize the red line boundary. Finally, through multidimensional verification and evaluation of natural ecological stability, regional economic carrying capacity, social acceptance and the like, a final ecological protection red line scheme is generated. The application improves the adaptability and flexibility of red line demarcation, and can be widely applied to the fields of ecological protection, land space planning, environmental management and the like.

The invention relates to the technical field of data analysis and spatial mapping, and solves the problems that in the prior art, a sampling survey method adopted for the per capita income of rural residents is limited by funds and personnel, the number of survey samples is limited, and the survey result has large deviation. The method comprises the following steps: acquiring rural income survey statistical data and village feature data, extracting feature variables, calculating an average value of feature factors, establishing a machine learning prediction model, and performing model training, according to the method, refined rural resident income space distribution data are obtained through data such as remote sensing images in historical periods, and the method is an effective supplement for traditional sampling survey statistics.

This invention provides a method for investigating the area of ​​grassland pest occurrence based on multi-level sampling, comprising: selecting suitable habitats for pests within a target area as primary survey plots; selecting areas with consistent community appearance and similar composition within the primary survey plots as secondary survey plots; dividing the secondary survey plots into several grids as tertiary survey quadrats; conducting aerial photography of several tertiary survey quadrats using drones to acquire survey images; calculating the pest occurrence area of ​​the corresponding tertiary survey quadrats based on the survey images, and accordingly calculating the pest occurrence areas of the secondary and primary survey plots. This invention employs a stratified sampling method, avoiding the drawbacks of simple random sampling that overly concentrates on a particular region or characteristic, or misses certain characteristics; and by rationally setting the hierarchical structure and sampling ratio, the sampling results of the lower-level survey areas can better reflect the characteristics of the upper-level survey areas, thereby showcasing the pest occurrence area characteristics of the entire target area.

To provide a technique capable of posting, viewing, and answering questions on a timeline, and in particular, identifying the questioner on the basis of the location information and conducting a survey.SOLUTION: A server device comprises a survey execution unit 11d. The survey execution unit is configured to: identify as respondents the users located within a predetermined range of an event venue from among the preselected users who have made a reservation to respond after event implementation on the basis of the location information of the terminal devices of the users; post a question on a timeline for the identified respondents; acquire and aggregate response information from the terminal devices of the respondents; and present the aggregation results on the timeline.SELECTED DRAWING: Figure 2

This application provides a method and system for marine carbon sink data survey, relating to the field of carbon sink management survey technology. It acquires initial data on marine carbon sink ecosystems, analyzes carbon sink elements based on this initial data to determine carbon storage and influencing factors, constructs a dynamic change model based on the initial data and influencing factors, calculates initial carbon sink prediction results, constructs a temperature feedback model to correct the obtained carbon sink prediction results, and, based on the corrected carbon sink prediction results, introduces biological density and competition feedback mechanisms to construct a multidimensional dynamic carbon sink optimization model, deriving the final optimized carbon sink prediction results. By introducing a dynamic change model, a temperature feedback model, and biological density and population competition feedback mechanisms, it not only considers the static storage of carbon sinks in marine ecosystems but also integrates multidimensional dynamic feedback factors, enabling adjustments to carbon sink prediction results at different time steps.

The invention discloses a high and steep rock slope structure fine investigation method based on multi-source data fusion. Geographic information data acquisition of different scales and different data sources is carried out on the high and steep rock slope by utilizing spatial information data acquisition technologies such as high-resolution series remote sensing satellite images, unmanned aerial vehicle low-altitude aerial photography and three-dimensional laser scanning. The original data has the problems of multi-semantics, multi-space-time performance, multi-scale performance, diversity of acquisition means, multisource of storage formats, inconsistent space reference and the like. Cooperative integration of multi-source heterogeneous spatio-temporal data such as high-resolution series remote sensing satellite image data based on a geographic information framework, unmanned aerial vehicle low-altitude aerial photography three-dimensional point cloud and orthoimage data, three-dimensional laser scanning point cloud data and other thematic data is basic work, so that coordinated optimization of various data sources is realized; and a sky-ground integrated data acquisition strategy for safety monitoring and feature recognition of the dangerous source of the high and steep slope is formed, so that the data production cost is reduced, and the data production efficiency and quality are improved.

The embodiment of the invention relates to the technical field of test investigation, in particular to a real-time investigation method and system for a clinical test, and the method comprises the steps: obtaining the test process information of the clinical test and the identity information of a subject participating in the clinical test; a clinical test questionnaire is constructed according to the test process information and the identity information, process information of a subject relative to a clinical test is monitored in real time, the clinical test questionnaire is adaptively adjusted according to the process information and sent to a specified terminal device, and performance data of the subject in the clinical test are collected through the terminal device. And performing comprehensive analysis on the investigation portraits of the subject in each process link of the clinical test to generate clinical test investigation information of the clinical test.

A survey method includes presenting a participant with a calibrating stimulus through a survey channel, wherein the survey channel can measure a reactive aspect of the participant's response to stimuli, measuring the reactive aspect of the participant's response to the calibrating stimulus through the survey channel, presenting the participant with a survey stimulus through the survey channel, measuring the reactive aspect of the participant's response to the survey stimulus through the survey channel, and evaluating the reactive aspect of the participant's response to the survey stimulus based on the reactive aspect of the participant's response to the calibrating stimulus. A computer-implemented survey method includes calibrating a survey system to determine individual cutoff times for individual participants in a survey, presenting survey content to the participants, monitoring the participants' responses to the survey content, and evaluating the individual participants' responses to the survey content based on the individual participants' cutoff times.

The invention discloses an agricultural pollution source investigation method and system based on layered random sampling, and relates to the technical field of agricultural environment monitoring, and the method comprises the steps: respectively calculating the planting productive pollution load and the livestock breeding productive pollution load of a target region; based on the planting productive pollution load and the livestock breeding productive pollution load of the target area, determining pollution load levels of each to-be-investigated field parcel and each to-be-investigated farm of the target area; the grade of the load area is high load, medium load or low load; stratified sampling is carried out on the to-be-investigated field parcels or the to-be-investigated farms under different pollution load levels by adopting a minimum sample size sampling method, and the final sampling investigation sample size of the to-be-investigated field parcels and the final sampling investigation sample size of the to-be-investigated farms under different pollution load levels are obtained respectively; the stratified sampling comprises primary stratified sampling and secondary stratified sampling. According to the invention, the accuracy and scientificity of agricultural pollution source investigation results are improved.

To improve the accuracy of a questionnaire collected from a user who drove a test-drive vehicle.SOLUTION: A questionnaire implementation method which is executed by a computer includes: acquiring a video image in front of a user, the image being captured while the user drives a test-drive vehicle by a first camera disposed near a driver's seat; acquiring voice of the user recorded when the user gets in the test-drive vehicle; generating a processed video by adding text voice to the video image; and outputting the processed video and a questionnaire regarding test drive of the test-drive vehicle at a time and receiving an input of answers to the questionnaire.SELECTED DRAWING: Figure 4