46 results about "Survey methodology" patented technology

To provide a surveying system, a surveying method, and a surveying program that can be utilized also in an area in which communication of a portable telephone or the like cannot be received and can ensure precision of a survey by repeatedly performing a survey and comparing survey data.SOLUTION: A survey system includes: a reception section for receiving signals of a position and a time of a positioning satellite and a time signal, and a surveying section for surveying land. The surveying section includes: a reception section for receiving input of information on land of a survey site from a user and displaying the information on the land of the survey site; a storage section for storing predetermined information inputted by the user; a position calculation section for calculating position information of the surveying section installed in the land in the survey site on the basis of signals of the position and the time of the positioning satellite received by the reception section; and a calculation section for acquiring multiple pieces of position information of the surveying section for the surveying section to calculate a measurement difference of the pieces of position information as a difference within a set, and calculating the measurement difference of the position information of each set as a difference between sets.SELECTED DRAWING: Figure 1

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 relates to the technical field of ecological protection, in particular to an ecological protection red line basic survey method based on territorial space planning, which comprises the following steps of: acquiring data including satellite remote sensing, unmanned aerial vehicle aerial survey, ground sensors and the like; and high-precision spatial data of ecological elements such as vegetation coverage, surface water distribution and soil erosion intensity are obtained. And combining spatial-temporal feature matching and an improved spatial clustering algorithm to dynamically partition the ecological factors to generate a dynamic partition map of the ecological factors. Based on the graph, a three-dimensional ecological sensitivity evaluation model is constructed, and a dynamic threshold adjustment algorithm is adopted to carry out automatic optimization of the red line boundary. And finally, through multi-dimensional verification and evaluation of natural ecological stability, regional economic bearing degree, social acceptance and the like, generating a final ecological protection red line scheme. According to the method, the adaptability and flexibility of red line delimiting are improved, and the method can be widely applied to the fields of ecological protection, territorial space planning, environment management and the like.

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 provides an animal population investigation device and method, and relates to the technical field of animal population investigation, the animal population investigation device comprises a supporting rod, the supporting rod is connected with an adjusting mechanism, and the adjusting mechanism is connected with a plurality of automatic zoom cameras; the supporting rod comprises an embedded pipe section, a supporting pipe section and a connecting pipe section, the embedded pipe section is used for being embedded into the ground to form a base, and the connecting pipe section has a first connecting state and a second connecting state; the adjusting mechanism comprises a lifting assembly and an angle adjusting assembly, the lifting assembly is connected into the connecting pipe section in a penetrating mode, and the angle adjusting assembly is detachably connected with the lifting assembly. According to the method, the survey point can be quickly established in the living environment of the animal population, and the image information in a plurality of adjacent annular survey ranges is obtained, so that large-range survey in the living environment of the animal population through a single survey point is realized, human activities are reduced, and the coverage of the survey ranges is improved.

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.

This invention discloses a method and system for investigating subsurface eddies and their submesoscale processes in the ocean. The method includes acquiring three-dimensional temperature, salinity, depth, and current data for a designated sea area, and plotting vertical distribution maps of temperature, salinity, density, and flow field; screening isodense surfaces based on vertical density anomalies and the location of maximum flow velocity; identifying subsurface eddies based on the geopotential height contour maps and vertical flow field maps of the identified isodense surfaces; acquiring satellite altimeter data for the designated sea area and plotting satellite orbit distribution maps for different dates; designing and plotting flight routes for the identified subsurface eddies and satellite orbit distribution maps; and plotting station distribution maps based on the flight route distribution maps for hydrological surveys. This invention aims to provide a solution for identifying and locating subsurface eddies, investigating and analyzing submesoscale processes of subsurface eddies, and designing observation flight routes, thereby solving the problems of difficulty in locating and observing subsurface eddies and their submesoscale processes in the ocean.

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.

Provided is a survey method using a position acquiring device that acquires position coordinates of a worker and a mobile terminal capable of communicating with the position acquiring device. the mobile terminal sets an advancing direction of observation and a first measurement point in three-dimensional design data, and makes the position acquiring device acquire position coordinates of the worker, the mobile terminal guides the worker to the first measurement point, makes the position acquiring device acquire position coordinates of the worker at the first measurement point, and sets a point nearest from the first measurement point in the advancing direction as a second measurement point, and after that, a position of the worker, setting of a next measurement point, and guidance to the next measurement point are repeated.

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 forest right investigation method based on three-dimensional live-action modeling, and the method comprises the steps: obtaining forest region basic data of a target forest region based on a forest right investigation request; the forest right investigation request comprises proof data of a plurality of associated parties; the forest area basic data comprises historical modeling data; based on the historical modeling data and the proof data of the target forest region, constructing a historical live-action model and confirming a historical forest right boundary; based on the historical forest right boundary, obtaining historical mark data; the historical marker comprises a consensus marker and a dispute marker; on the basis of the historical mark data, obtaining current modeling data to construct a current real scene model, and confirming a plurality of historical marks one by one in the current real scene model to obtain a plurality of current marks; and obtaining a current forest right boundary and a plurality of boundary points based on the plurality of current markers. The technical problems of low confirmation efficiency and high cost of the boundary point in the forest right investigation process in the prior art are solved.

The invention discloses a Yangtze River fishing-out fisherman re-employment investigation method based on Internet of Things big data, and belongs to the technical field of Internet of Things technology and big data processing. Real-time and automatic collection of data is realized through the Internet of Things technology, the limitation of a traditional survey method is overcome, the data collection efficiency and accuracy are greatly improved, the survey cost is reduced, the actual situation of re-employment of fishermen who quit fishing can be more accurately grasped through the big data processing technology and fusion and analysis of multi-source data, and the method is suitable for popularization and application of the fishermen who quit fishing and the fishermen who quit fishing and the fishermen who quit fishing and the fishermen who quit fishing. According to the method, rapid updating and dynamic feedback of survey results are achieved, data analysis is more deep and comprehensive, powerful support is provided for government policy making and assisting measures, accurate survey, a dynamic monitoring mechanism and continuous optimization of assisting strategies are achieved, and the method has great significance in improving the re-employment success rate and life quality of fishing-out fishermen. And the method has important value in promoting long-term and stable development of re-employment work of fishing-quitting fishermen.

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 a dynamic multi-terminal application method for geographic information complex business investigation, and belongs to the technical field of geographic information data processing. Creating a uniformly managed space layer and table data through a spatio-temporal data management center, and defining fields and association relationships of the space layer and the table data; dynamically configuring a logic check rule and a main table-sub table calculation rule based on the defined fields and the association relationship, and supporting dynamic updating in a business process; in the off-line mode, the mobile terminal loads the defined fields, the association relation, the configured logic check rule and the calculation rule, and collaborative collection of spatial data and non-spatial data is executed; and pushing the data change acquired by the mobile terminal to the Web terminal through an incremental synchronization mechanism, and receiving a data structure and a rule dynamically updated by the Web terminal. The universal integrated survey method capable of covering the spatial data and the table data is designed, the survey work is completed through a unified set of tools, and the problem of tool fragmentation is solved.

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.