21 results about "Anthropogenic factor" patented technology

The invention discloses an AR digital reconstruction and visual navigation system and method for an agricultural cultural heritage scene. The system comprises a digital modeling module, a scene recognition module, an AR reconstruction module, a path navigation module and an interactive navigation module. According to the invention, by fusing laser point cloud, unmanned aerial vehicle images and historical images, agricultural cultural heritage scenes such as rice terraces, mulberry-based fish ponds, waterwheel irrigation systems and the like with extremely high local characteristics are reconstructed, historical scenes in which natural or human factors disappear are recovered, and AR live-action is superposed with virtual farming behaviors, traditional festival activities and clothing styles and features, so that the real-scene and real-scene virtual farming is realized. A user can experience thousand years of agricultural culture personally on the scene, the visiting experience that the user cannot understand and cannot see completely in the past is changed, an exclusive route is planned for the user, various interaction modes such as voice, images and gestures are supported, and the method is suitable for users of different age groups, language backgrounds and cultural cognition levels.

The invention belongs to the technical field of forest carbon sink management, and discloses a forest carbon sink spatio-temporal dynamic monitoring method based on multi-source data fusion, comprising the following steps: acquiring multi-source data associated with carbon sink spatio-temporal dynamic monitoring in the southeast of Tibetan, and preprocessing the multi-source data; constructing a carbon sink estimation model; constructing a coupling influence model based on the multi-factor influence factors; and based on an influence mechanism analysis result, a natural driving path and a manual driving path are distinguished, a dominant driving mechanism is defined, and a targeted improvement strategy is formulated in combination with the characteristics of the southeast Tibetan forest ecosystem. By adopting the method, the time-space dynamic data of the structure and the carbon sequestration function of the southeast Tibetan forest ecosystem are accurately obtained; the coupling influence mechanism of biological factors, environmental factors and human factors on the carbon sequestration function of the southeast Tibetan forest is systematically analyzed; a dominant path and an interaction mechanism for natural and human factors to drive the carbon sink change of the southeast Tibetan forest are defined, and technical support is provided for regional forest ecological system protection and carbon sink management.

The application discloses a soil salinity inversion method and system based on multi-modal remote sensing data fusion, a device and a storage medium, and is applied to the technical field of soil quality monitoring.The method comprises the following steps: acquiring radar and optical remote sensing data of a soil salinity area to be inversed, and performing conductivity determination as an inversion index of soil salinity; acquiring multi-modal remote sensing features based on radar and optical remote sensing data fusion, combining the radar and optical remote sensing data, and based on a random forest algorithm, using a recursive feature elimination method to optimize the remote sensing feature combination, using cross validation to evaluate the model performance of the remote sensing feature combination, and obtaining an optimal remote sensing feature combination; based on the optimal remote sensing feature combination, a soil conductivity prediction model based on the random forest algorithm is constructed and trained, inputting the data to be measured into the conductivity prediction model after hyperparameter adjustment, and the soil salinity inversion is completed.The application realizes more accurate inversion of soil salinity under the interaction influence of complex environment and human factors.

The invention belongs to the technical field of gas reservoir exploration, and particularly relates to a method and a system for depicting a water invasion dominant channel space of a fractured-porous gas reservoir. The method comprises the following steps: establishing a dual-medium fine geological model, wherein the dual-medium fine geological model comprises a matrix porosity model and a discrete fracture network model; obtaining a matrix permeability model according to the matrix porosity model, and obtaining a fracture permeability model according to the discrete fracture network model; matrix heterogeneity characterization parameter gridding is carried out based on the matrix permeability model, and fracture heterogeneity characterization parameter gridding is carried out based on the fracture permeability model. According to the method, the near-wellbore zone water invasion channel or the seepage barrier can be accurately judged, the whole gas reservoir water invasion channel or the area to be subjected to water invasion can be predicted, the influence of human factors is reduced, and the method is visual, fine, high in calculation efficiency and high in accuracy for the crack-pore type reservoir. And predicting the geometrical morphology and spatial configuration relation of the water invasion channel with comprehensive evaluation parameters.

The invention belongs to the technical field of animal behavior observation, particularly relates to a behavior observation device for arthropods utilizing condensed water, and aims to solve the problems that arthropod behaviors and environmental data are acquired by equipment, time and space are asynchronous and cause and effect analysis is affected in the conventional device. In order to solve the problem that the condensed water utilization mode of arthropods may vary along with the change of earth surface materials and is difficult to observe, the invention provides the following scheme: the system comprises an automatic behavior recording unit and a dynamic environment element monitoring unit; meanwhile, the occurrence time and quantity of condensed water on the surfaces of different materials are observed, environmental factors such as rainfall, temperature and wind speed influencing formation of the condensed water and the mode that arthropods utilize the condensed water are recorded and monitored, the manual monitoring cost is greatly reduced, and the influence of human factors on the observation result is reduced; and the behavior and mode of utilizing condensed water by arthropods can be accurately judged, and environmental influence factors are determined, so that the working efficiency is remarkably improved.

This invention relates to the field of oil and gas reservoir geological exploration technology, specifically a method for identifying multiple fracture stages in buried hill oil and gas reservoirs based on tectonic stress field evolution. The method includes the following steps: Tectonic evolution history analysis step: Geological data of the target buried hill oil and gas reservoir area are systematically collected. Based on seismic profiles, stratigraphic contact relationships, tectonic deformation characteristics, and chronological data, a comprehensive analysis is conducted to construct a multi-stage tectonic evolution history of the area from the Paleozoic to the Cenozoic, accurately determining the geological age and tectonic nature of each key tectonic event. Compared to existing technologies, this application establishes a quantitative discrimination model based on mechanical principles through paleostress field numerical simulation and quantitative prediction of theoretical fracture parameters. This standardizes and quantifies the fracture stage identification process, significantly reducing the uncertainty caused by human factors, improving the objectivity and repeatability of the discrimination results, and achieving a leap from qualitative analysis to quantitative discrimination.

The invention belongs to the technical field of geophysical exploration, and discloses a method and a device for drawing a clastic rock sedimentary facies diagram by using a digital language and a medium, lithology data is processed and then combined with seismic attributes, and the clastic rock sedimentary facies diagram is simply and quickly drawn through digital processing. According to the method, uncontrollable interference of human factors in a traditional method is overcome, and errors and low efficiency caused by human cognitive differences and experience differences are avoided. The method is simple and convenient in process and high in accuracy, the device and the medium based on the method are convenient to use, the clastic rock sedimentary facies diagram can be rapidly and efficiently drawn, the facies belt analysis efficiency is greatly improved, and great contribution is made to oil and gas exploration and development projects.

The invention belongs to the technical field of crop stress resistance detection, and particularly relates to a wheat resistance evaluation method based on chloroplast and mitochondrial morphological quantitative indexes and application. The physiological index chloroplast number, the mitochondrial cross section and the ratio of the mitochondrial matrix area to the ridge area selected by the evaluation method can directly reflect the physiological adaptability of wheat to high temperature and drought stress, are not interfered by environmental factors, and have higher specificity and accuracy; the method also has the characteristics of short detection period and high efficiency, the sample preparation and detection process can be completed within 7-10 days, and stress resistance screening of a large number of germplasm resources can be rapidly realized; the operation process of the evaluation method is standard, the interference of human factors can be effectively avoided, and the repeatability and the stability of a detection result are good; the method can be suitable for high-temperature drought resistance identification of different types of wheat varieties, can also be used for early generation screening in the wheat stress-resistant breeding process, and provides reliable technical support for cultivation and popularization of the stress-resistant wheat varieties.

The application discloses a grassland degradation degree monitoring model and method based on remote sensing technology, and belongs to the technical field of ecological environment monitoring. The method comprises the following steps: step 1, constructing a multi-scale remote sensing data set consistent in time and space, and combining ground measured data to establish a high-precision true value library of grassland types and degradation degrees; step 2, constructing a remote sensing index system suitable for different spatial scales; step 3, identifying key scale conversion nodes of grassland degradation driven by climate and human factors; step 4, realizing grassland degradation degree grading from a pixel scale to a landscape scale, and quantitatively analyzing the spatial distribution, area change and spatio-temporal evolution trend of each degradation grade; step 5, realizing reliable conversion and up-down transmission of analysis results of different scales to generate comprehensive grassland degradation monitoring results; and step 6, automatically generating differentiated management strategies and outputting a grassland degradation grade distribution map, a driving force analysis map, a risk early warning map and a partition management suggestion map.

The present application relates to a kind of multi-parameter fusion shale compressibility evaluation method and system, comprising: the present method directly from the characteristics of shale compressibility, by the quantitative calculation of shale reservoir fracturing index, on the basis of porosity, permeability Young's modulus, brittleness index, fracture toughness, and tensile strength such as key parameters, integrated comprehensive sand liquid ratio, slickwater proportion, above medium sand proportion three field fracturing construction parameters, after evaluation parameter normalization processing, all become positive index, then using variation coefficient method calculates each parameter weight, finally creates can all aspects, reasonable quantitative reflection shale oil reservoir fracturing evaluation method, the model evaluates the fracturing of shale reservoir from multiple angles.Compressibility can be objectively, comprehensively, scientifically evaluated to shale reservoir, reduce human factor interference, significantly improve the overall efficiency and effect of fracturing operation, improve the fracturing effect and reservoir producing degree of shale reservoir.

To enable automatic prediction of photochemical oxidants.SOLUTION: In a specific area, NOX, VOC, hydrocarbon-based substances, photochemical oxidants, wind direction, wind speed, humidity, solar radiation, and temperature in the atmosphere within a predetermined period are observed. After that, among these observed values, at least three items in total including at least two items of NOX, VOC, hydrocarbon-based substances, and photochemical oxidants, which are anthropogenic factors, and at least one item of wind direction, wind speed, humidity, solar radiation, and temperature, which are natural factors, are used as input values. The situation of photochemical oxidants after the predetermined period is predicted by using a neural network.SELECTED DRAWING: Figure 3

This invention discloses a method, system, and medium for determining the suspended sediment transport threshold at the watershed outlet and attributing the main controlling factors. The method includes the following steps: 1. Watershed data and multi-factor coding; 2. Definition and extraction of physical constraint thresholds; 3. Batch simulation of multiple scenarios; 4. Generation of monthly-scale threshold sequences; 5. Control variable attribution analysis. This application achieves a formal definition and extraction of the suspended sediment transport threshold at the watershed outlet within a distributed water and sediment model framework. Based on the control variable method and massive scenario simulation, it quantitatively identifies and ranks the contributions of different natural and anthropogenic factors to the change of this threshold, thereby providing a scientific basis for watershed sediment regulation and management.

The invention provides a method and system for identifying key human factors affecting hydrological drought, and belongs to the field of water resource management.The method comprises the steps that natural runoff data of a research area is obtained, and a hydrological drought judgment threshold value is calculated; according to the hydrological drought determination threshold value, obtaining a natural hydrological drought occurrence frequency in the research time period and an actually measured hydrological drought occurrence frequency in the research time period; calculating the difference value between the actually measured hydrological drought occurrence frequency in the research time period and the natural hydrological drought occurrence frequency in the research time period, and dividing the influence degree of human factors on hydrological drought in the research area; establishing a classification model of influence degrees of human factors on hydrological drought on different time scales through a random forest model, and calculating relative contribution rates of different human factors on different time scales; and key human factors influencing hydrological drought are identified. Fine division and quantitative attribution of the human factors are realized, and the accuracy of identifying the human factors influencing hydrological drought is improved.

This invention relates to a method and system for dynamic monitoring-based decision-making in sheep feeding, comprising: acquiring basic parameters and physiological characteristic parameters of the sheep, environmental parameters and human factors during normal sheep farming, to obtain a first set; filtering and dimensionally equalizing the first set to obtain a second set; constructing an initial decision model based on the second set and training the initial decision model to obtain a decision model; acquiring a real-time set of human factors and a real-time set of environmental parameters, combining the first set and the decision model to obtain a decision dataset; determining the hunger state of the sheep based on the decision dataset, and feeding the sheep according to the hunger state. This invention predicts physiological characteristic parameters, then determines the hunger state, and finally combines these with the sheep's basic parameters to determine the feeding amount.

The invention relates to satellite gravity mechanics and hydrology, in particular to a drought monitoring method based on a sky scale drought index, which can effectively improve the drought monitoring accuracy, and is characterized by comprising the following steps: acquiring continuous high time resolution TWSA by adopting two methods; one method comprises the following steps: constructing a time downscaling model based on a statistical method, and reconstructing a high-precision daily TWSA by taking nearly real-time rainfall and temperature as driving data and combining a time sequence decomposition method; according to the other method, hydrological load deformation data of the GNSS and an MATLAB open source tool GNSS2TWS are used for deducing daily variation of the TWSA, and for the obtained two daily TWSAs, a sky scale data set is used for carrying out quality evaluation; constructing a day-by-day drought index DSI based on RECTWSA, and evaluating and comparing the DSI with other day-scale and monthly-scale drought index data sets so as to monitor drought time-space evolution; and the influence of climate and human factors on the TWSA of the Yellow River basin is separated according to the climate-driven water reserve anomaly model.

The application discloses an evaluation method of hygroscopicity of energetic materials under different temperature and humidity conditions. The method is based on the water molecule density under various temperature and humidity conditions, and the hygroscopicity of various energetic molecules under arbitrary temperature and humidity conditions is evaluated by establishing an energetic molecule model and controlling the size of the system model, so that the method is not affected by external environmental factors and human factors. The simulation method is simple, safe and efficient. The experiment needs a long time from sample preparation to hygroscopicity characterization, and the simulation method can calculate the hygroscopicity of samples under multiple different conditions at the same time, so that the time for evaluating the hygroscopicity of energetic molecules is greatly saved.

The invention discloses an expansible mudstone disintegration characteristic testing device and method, and relates to the technical field of expansible mudstone disintegration characteristic test.The expansible mudstone disintegration characteristic testing device comprises a sampling barrel, a testing body serving as a marlstone sample is located in the sampling barrel, and a simulation pit hole is formed in the center of the top end of the testing body and used for simulating an underground tunnel and a mine in the engineering construction process; a driving structure for driving the sampling barrel to rotate is arranged at the top of the sampling barrel in a sampling state, and a central drill rod is arranged at the bottom end of the driving structure; the driving structure drives the test body to rotate, the test body is cut and separated from the natural marlstone ground to serve as a test sample, the compaction degree, humidity and other conditions of the test body highly restore to natural conditions and are not influenced by human factors, interference of the human factors on the geological disintegration characteristic of marlstone is avoided, the test is more natural, and the test efficiency is improved. And the precision is also greatly improved.

The invention relates to the technical field of oil and gas reservoir geological exploration, in particular to a buried hill oil and gas reservoir multi-stage crack stage judgment method based on tectonic stress field evolution, which comprises the following steps: a tectonic evolution history analysis step: a system collects geological data of a target buried hill oil and gas reservoir area; based on a seismic profile, a stratum contact relation, tectonic deformation characteristics and chronology data, a multi-period tectonic evolution history of the region from ancient generations to neonatology is comprehensively analyzed and constructed, and the geological age and the tectonic property of each key tectonic motion event are accurately determined. Compared with the prior art, the method has the advantages that a quantitative judgment model based on the mechanical principle is established through paleostress field numerical simulation and theoretical crack parameter quantitative prediction, so that the crack period judgment process is standardized and quantified, the uncertainty caused by human factors is greatly reduced, the objectivity and repeatability of a judgment result are improved, and the method is suitable for popularization and application. And the crossing from qualitative analysis to quantitative discrimination is realized.

The invention discloses an ecological system service value evaluation method based on soil carbon flux measurement, relates to the technical field of ecological evaluation, and solves the technical problems that existing analysis is scattered, systematicness is lacked, and the limitation of isolation of natural and human factor analysis is broken through. By constructing a complete process of ecosystem classification, carbon flux modeling, multi-cycle accounting, trend analysis and factor attribution, full-chain coverage from regions to ecosystems, from current situations to trends and from phenomena to causes is achieved, the problem of scattering in the prior art is solved, a natural and human factor isolated analysis mode is broken through, and the analysis efficiency is improved. A coupling attribution model of natural factors and human factors is established, composite driving is accurately identified, discrete analysis, a periodic trend chart and other methods are introduced, the stable / unstable state of the carbon sink trend is scientifically quantified, and the blank that only increase / decrease is concerned and fluctuation risks are neglected in the prior art is filled.

The present invention belongs to the field of rice salt-tolerance research, and specifically relates to a method for accurately evaluating salt tolerance of rice using spectroscopy. Compared with conventional salt-tolerance evaluation methods, the present technical solution can significantly shorten the testing cycle, increase evaluation efficiency, and reduce test errors caused by human factors. In addition, the evaluation method of the present invention uses the variation of spectral indices to evaluate the salt tolerance of rice seedlings, greatly improving resolution, enabling more accurate evaluation of salt-tolerance capability, and also greatly improving the repeatability and stability of evaluation results for salt tolerance at the rice seedling stage.