17 results about "Survey methodology" patented technology

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.

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 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.

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 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 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.

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.

To easily obtain necessary information while improving the accuracy of a questionnaire survey.SOLUTION: The information processing device 20 includes a control unit 21 that acquires a plurality of question items from a questionnaire item database 24, transmits a questionnaire of a first unit period including the acquired plurality of question items to a terminal device 30 via a communication unit 23, receives a response of a first answerer to each question item included in the transmitted questionnaire of the first unit period from the terminal device 30 via the communication unit 23, transmits an alert for prompting the first answerer to redo the response to the terminal device 30 when it is determined that a difference between the response of the first answerer to at least one question item and a response of the second answerer or a response of another question item to the same question item included in the questionnaire of a second unit period before the first unit period exceeds a threshold, and accumulates the received response of the first answerer in a response database 25.SELECTED DRAWING: Figure 1