77 results about "Field experiment" patented technology

The invention provides a complex geothermal system digital twinning online experiment method based on multi-source data deep fusion, and solves the problems of precise construction of geothermal system digital twinning and low-delay visualization of virtual-real interaction. The method comprises the following steps: firstly, building a typical geothermal reservoir multi-source heterogeneous data parallel acquisition system, and carrying out fine inversion, high-precision identification and continuous correction on geothermal reservoir parameters by using a large amount of field experiment test data; then, a complete physical model of the geothermal system is established, online simulation is conducted on an actual system through high-performance scientific calculation, and mutual calibration is conducted on the actual system and test data; and finally, building a geothermal system digital twinning on-line experiment platform based on real-time acquired test data, a reliable mechanism model and an artificial intelligence method, and realizing accurate measurement and on-line monitoring of a geothermal exploitation process and iterative evolution of a geothermal reservoir exploitation scheme. According to the method, multi-source data of the geothermal system are deeply fused, high-precision online simulation and low-time-delay virtual-real interaction in the geothermal experiment process are achieved, and geothermal storage and exploitation details can be comprehensively transparentized. And furthermore, intelligent and rapid inversion is performed on the multi-scale seepage and heat transfer process of the geothermal reservoir by carrying out a virtual online experiment, so that the scientificity and efficiency of full-life-cycle geothermal exploitation are greatly improved. Meanwhile, a multi-agent collaborative optimization regulation and control framework provided by the method has relatively high expandability and flexibility, and an optimal well spacing design scheme and an optimal experiment scheme of the geothermal well group can be automatically excavated through adaptive optimization and iterative evolution of a system regulation and control strategy; and the method has a very strong application prospect in the distributed optimization field of the geothermal storage virtual experiment.

The invention discloses a key gene identification method related to tobacco nitrogen response, which comprises the following steps: S1, setting four nitrogen fertilizer gradient treatments on the basis of same phosphorus and potassium fertilization by adopting a field experiment of a completely random block; s2, randomly taking the 6th to 8th leaves of the five plants in each area, and dividing a sample into two parts: quickly freezing one part with liquid nitrogen, and storing at-80 DEG C for RNA (Ribonucleic Acid) extraction and transcriptome sequencing; one part is used for measuring the nitrogen content, and after baking and drying treatment, a KjeltecTM8100 automatic nitrogen analyzer is used for measuring; s3, nitrogen content determination: determining the nitrogen content in the treated sample by using an automatic nitrogen analyzer KjeltecTM8100; according to the method, high-throughput transcriptome sequencing and weighted gene co-expression network analysis (WGCNA) are combined, so that not only can gene expression maps of flue-cured tobacco leaves treated by different nitrogen fertilizers be comprehensively captured, but also gene modules with similar expression modes can be mined from a global perspective.

The invention provides an SVG controller modeling analysis method based on field experiment data, and relates to the technical field of electric power grids. According to the method, the high-low penetration fault test is carried out on the SVG, the field experiment data is obtained, the calculation data of the transient model of the SVG under different model parameters are combined, the least square method is adopted to carry out parameter identification, and the optimal model parameters of the transient model of the SVG controller are obtained. The process avoids modeling of complex topology in the SVG and laboratory communication protocol debugging, is suitable for testing of SVGs of various models, and is high in field test result accuracy, simple in wiring and extremely low in risk. A field test result can truly reflect transient response characteristics of station-level current and reactive power, and a modeling path based on the field test is opened. The SVG control characteristic extraction efficiency is improved, the model precision and modeling efficiency of the complex topology SVG are improved, and therefore the analysis efficiency of the SVG analysis process is improved.

The invention provides a high and cold area strip mine rock explosibility grading method, and relates to the technical field of mine rock explosibility grading. According to the method, field experiments, numerical simulation and an intelligent algorithm are combined, and the influence of climate and geological conditions of a high and cold area on rock mass explosibility is considered; the method comprises the following steps: establishing an explosibility index system comprising cold region climate and geological conditions, rock physical and mechanical properties, explosive blasting parameters and a blasting process, determining a fuzzy membership degree, a relative weight and a comprehensive weight of each evaluation index by using a fuzzy evaluation method and adopting a trapezoidal membership function, and proposing an explosibility grading method considering the cold region influence.

The invention discloses a safe blocking distance calculation and automatic blocking control method for a carbon dioxide transportation pipeline. The method comprises the steps that S1, the leakage rate is divided into four grades, and the wind speed of a mine working face roadway is calculated; s2, according to the leakage rate and the wind speed, the relation between the carbon dioxide diffusion concentration and the diffusion distance is obtained; s3, determining an expression of a pipeline safety cut-off distance L; s4, performing concentration constraint on the expression of the L, and calculating a pipeline safety cut-off distance; s5, performing field experiment verification; and S6, confirming the calculated safe cut-off distance L as the final cut-off distance, and triggering the automatic closing action of the pipeline cut-off valve in the L range corresponding to the leakage point. Through scientific and systematic quantitative analysis and accurate matching of leakage point positions and protection requirements, the relation between the set distance of the block valve and the leakage rate of the volume of carbon dioxide in the roadway after leakage is determined, the block valve is directly triggered to be automatically closed on the basis of the safety block distance L obtained through calculation, and delay of manual implementation is avoided.

The invention discloses a strip-shaped composite canopy flight control pesticide application fog drop deposition drift prediction method, and relates to the technical field of plant protection spraying simulation, and the method comprises the steps: obtaining crop canopy and unmanned aerial vehicle parameters of a field experiment as first simulation parameter information; respectively constructing a rotor sliding grid model, a dynamic parameter porous medium canopy model and a canopy fog drop probability capture model by utilizing the first simulation parameter information; constructing a computational domain three-dimensional model in combination with the rotor sliding grid model and the dynamic parameter porous medium canopy model, and performing grid division; setting second simulation parameter information of strip-shaped composite canopy crop simulation spraying; and in combination with second simulation parameter information, the computational domain three-dimensional model after grid division and the canopy fog drop probability capture model, performing simulation statistics and analyzing banded composite irregularity, downwash flow field distribution under heterogeneous canopies and a fog drop deposition rule. The influence of downwash airflow and a special canopy structure on migration and deposition of fog drops is analyzed, and a reference is provided for strategy optimization of strip-shaped composite canopy unmanned aerial vehicle pesticide application.

The invention relates to the technical field of particle deposition and semiconductor anti-radiation analysis, and discloses an alpha particle energy deposition calculation method based on a Monte Carlo particle transport simulation tool, which sequentially comprises the steps of material and particle source setting, energy deposition score indicator use, single particle event statistics, soft error rate calculation and output and data analysis. By adopting the method and the device, the requirements of field experiments are greatly reduced, and the time and the cost required by the experiments are saved. Moreover, through the simulation method, designers can more efficiently calculate the energy deposition of the alpha particles in the semiconductor device and obtain the soft error rate of the alpha particles, and radiation hardening design of the semiconductor device can be carried out according to the data, so that the radiation resistance and reliability of the device are improved.

The embodiment of the invention provides a muon angle measurement cross positioning method and device based on simulation, a medium and equipment, and the method comprises the following steps: constructing a muon flux model based on the distribution of muons on an azimuth angle and a zenith angle; constructing an angle measurement cross positioning model, and calculating the coordinates of the positioning detector through the coordinates of the reference detector and the coordinates of the positions where the muons penetrate through the positioning detector by using the angle measurement cross positioning model; an angle measurement cross positioning error model is constructed based on the angle measurement cross positioning model, and the value of a geometric precision factor is calculated by using the angle measurement cross positioning error model; constructing an angle measurement cross positioning physical simulation model; and operating the angle measurement cross positioning physical simulation model, generating a positioning result based on an effective event output by the angle measurement cross positioning model, and performing precision analysis on the positioning result. According to the scheme, the physical simulation model is positioned through angle measurement cross, so that the efficiency of a verification link before an in-situ experiment is improved, and the experiment cost is reduced.

The invention discloses application of catechin as a nitrification inhibitor, a use method of catechin as a nitrification inhibitor, a preparation method of a fertilizer formed by the catechin and the fertilizer. According to indoor simulation and field plot and field experiments, the catechin shows a good inhibition effect on soil ammonia oxidizing bacteria when the dosage per mu is 40.0-100.0 g, conversion from ammonium nitrogen to nitrate nitrogen can be effectively delayed, and compared with a traditional nitrification inhibitor, the catechin has the advantage in the later stage of nitrification inhibition.

The invention relates to the technical field of grassland species assessment, and discloses a grassland species diversity assessment method and device based on a vegetation radiation transfer model, and the method comprises the steps: constructing a grassland quadrat three-dimensional model with different species compositions and different canopy structure complexities; simulating a grassland plant leaf reflectivity spectrum curve and a soil background reflectivity spectrum curve; simulating a grassland canopy hyperspectral image according to the grassland plant leaf reflectivity spectrum curve and the soil background reflectivity spectrum curve; calculating a canopy spectral diversity index and a canopy structural shape of the grassland quadrat three-dimensional model; and constructing a grassland species diversity evaluation model to evaluate the grassland species diversity by using the single or combined canopy spectral diversity index and canopy structural shape. According to the method, parameters such as possible influence factors for evaluating the diversity of grassland species based on canopy spectral measurement in field experiments can be effectively controlled, interference factors are eliminated for grassland species evaluation, and the effects of variable control and accurate evaluation are achieved.

The invention belongs to the technical field of soil layer thickness detection under a composite structure, and discloses a method for measuring the thickness of a black soil layer under a straw returning condition by using a ground penetrating radar technology, which comprises the following steps: firstly, determining a to-be-detected area, setting a plurality of measuring lines according to the area of the detected area, and laying a soil profile to record the thickness of the black soil layer; selecting a ground penetrating radar antenna according to the observed thickness of the black soil layer; burying a marker at the boundary of the black soil layer and the loess parent material layer; properly leveling the land near the measuring line; scanning along the measuring line by using a ground penetrating radar, and marking the position of the marker in the image; and processing and reading the radar image after scanning is completed. According to the method for measuring the thickness of the black soil layer under the straw returning-to-field condition by using the ground penetrating radar technology, the thickness of the black soil layer of the slope farmland with the straw returning-to-field measure can be continuously detected through the ground penetrating radar technology, and then the spatial distribution of the thickness of the black soil layer is obtained; field experiments show that the error of the ground penetrating radar for detecting the thickness of the soil layer under the composite structure ranges from 6.2% to 13.5%.

This invention discloses a dynamically adjustable forest gap simulation device, belonging to the technical field of ecological experimental equipment. The device includes a supporting column, a supporting frame, a driving component, a shading component, and an intelligent control unit. The supporting column is a multi-stage telescopic structure equipped with a field anchoring mechanism. The supporting frame consists of a central connecting part and multiple radially telescopic and foldable radial arm-shaped components. The shading component is laid on the arm-shaped components to form a variable shading area. The driving component drives the arm-shaped components to extend and retract. The intelligent control unit uses off-grid photovoltaic power and can adaptively control the movement of the arm-shaped components according to preset strategies, light intensity, and wind speed parameters, realizing dynamic forest gap simulation and dynamic restoration of wind-disturbed light spots. This invention features high modularity, accurate simulation, stable structure, and suitability for long-term unattended field experiments, effectively solving the technical problems of traditional forest gap simulation devices, such as static fixation, poor dynamic effects, low intelligence level, and insufficient field adaptability.

The invention discloses a gas adsorption and thermodynamic intelligent sensing test system and method for different component materials, and belongs to the technical field of material adsorption and thermodynamic experiments, the system comprises a data set module, an experiment sensing module and an adsorption-desorption and thermodynamic coupling model unit, and the method comprises the following steps: S1, material element analysis; s2, constructing an adsorption-desorption and thermodynamic coupling model; s3, acquiring field experiment parameters; s4, obtaining an experiment result; s5, obtaining a data table, a data graph and data fitting in combination with an experiment result obtained in the step S4, and exporting data; according to the invention, the adsorption and desorption and thermodynamic experiment of the multi-component material can be completed, and an idea is provided for exploring the adsorption and desorption and thermodynamic experiment rule of the multi-component material.

The invention discloses a laser powder bed additive material workpiece temperature field simulation and prediction method based on temperature monitoring, which comprises the following steps of: firstly, testing boundary conditions related to temperature field simulation in a laser powder bed additive material manufacturing process and temperature-related parameters in material attributes by adopting an existing experimental test method; a temperature-parameter correlation model is established; then, through comparison of temperature field simulation data and temperature field test data, the obtained temperature-parameter correlation model is corrected; and finally, obtaining an accurate temperature-parameter correlation model, and integrating a program package to establish an accurate temperature field prediction method. According to the method, precise prediction of global (surface + internal) temperature distribution and evolution of the laser powder bed additive material workpiece is realized, the problem of temperature field simulation misalignment caused by inaccurate parameters generally existing at present is solved, and the simulation prediction method is suitable for temperature field prediction of workpieces in different shapes and has a wide application prospect. And the problem that the temperature measurement suite cannot be transplanted in the temperature field experiment test of workpieces with different shapes is avoided.

The utility model discloses a while-drilling earthquake source energy and wave field measurement test device, which relates to the technical field of well drilling data experiment equipment and comprises a support component, the support component comprises a shaft upper cover, a wellhead four-way joint and a shaft which are sequentially connected through flanges, and a well inner cavity is formed. The detection assembly comprises a rock sample box connected with the shaft and an impact force detector located below the rock sample box, a rock sample capable of sliding relative to the rock sample box is arranged in the rock sample box, a cushion block making contact with the rock sample is arranged at the bottom of the rock sample box, and the rock sample acts on the impact force detector through the cushion block. The rock sample box is internally provided with a plurality of ground wave detectors in contact with the rock sample, the ground drilling assembly comprises a drill bit, the drill bit is used for impacting the rock sample, the problems that a lot of time needs to be spent on finding a proper well position and the cost is high when a field experiment is carried out in reality are solved, and by applying the device, the non-timeliness of the field experiment and the experiment cost are greatly saved.

This invention belongs to the field of shear wave exploration technology and discloses a design method for a shear wave observation system. The method involves: acquiring target layer parameter information in the exploration area; determining the shear wave elements of the shear wave observation system based on the target layer parameter information; determining the shear wave receiver spacing of the shear wave observation system based on the target layer parameter information; quantitatively calculating the maximum shear wave offset based on the time-distance curves of the direct shear wave, refracted shear wave, and reflected shear wave; verifying the effectiveness of the shear wave elements in step S2, the shear wave receiver spacing in step S3, and the maximum shear wave offset in step S4 based on forward modeling of the shear wave equation and actual shear wave seismic records acquired through field experiments; and calculating the coverage number and coverage density of the shear wave observation system based on the signal-to-noise ratio of the actual shear wave data and the effective offset range of the shear wave. This invention obtains high-quality shear wave seismic data through qualitative and quantitative design of a nine-component three-dimensional shear wave observation system. This invention is applicable to the design of shear wave observation systems.

The invention discloses a while-drilling seismic source energy and wave field measurement test device and a use method, and relates to the technical field of well drilling data experimental equipment.The while-drilling seismic source energy and wave field measurement test device comprises a supporting assembly, the supporting assembly comprises a shaft upper cover, a well mouth four-way joint and a shaft which are sequentially connected through flanges, and a well inner cavity is formed; the detection assembly comprises a rock sample box connected with the shaft and an impact force detector located below the rock sample box, a rock sample capable of sliding relative to the rock sample box is arranged in the rock sample box, a cushion block making contact with the rock sample is arranged at the bottom of the rock sample box, and the rock sample acts on the impact force detector through the cushion block. A plurality of ground wave detectors in contact with the rock sample are arranged in the rock sample box, the ground drilling assembly comprises a drill bit, the drill bit is used for impacting the rock sample, the problems that a lot of time needs to be spent on finding a proper well position and the cost is high when a field experiment is carried out in reality are solved, and by applying the device, the non-timeliness of the field experiment and the experiment cost are greatly reduced.

The application discloses a method for determining the surplus amount of phosphorus fertilizer application for regional wheat, and relates to the field of agricultural technology.The method comprises the following steps: obtaining the yield increment of phosphorus fertilizer for regional wheat according to field experiment data; constructing the regression relationship between the amount of applied phosphorus fertilizer and the yield increment; establishing the linear relationship between the amount of applied phosphorus and the apparent balance amount of phosphorus; determining the data range of phosphorus nutrient imbalance based on the yield increment of phosphorus fertilizer for regional wheat, and then obtaining the range of the amount of applied phosphorus; determining the range value of the apparent balance amount of phosphorus according to the relationship between the amount of applied phosphorus and the apparent balance amount of phosphorus in the step, which is the surplus amount of phosphorus application for regional wheat; and obtaining the surplus amount of phosphorus fertilizer application for regional wheat after data conversion.The method can guarantee the yield of wheat and maximize the saving use of phosphate rock resources, and provides a feasible measure for the intensive management of phosphorus fertilizer.

The application discloses a preparation method and application of a pesticide preparation for preventing and treating watermelon fusarium wilt, and belongs to the technical field of biocidal pesticides. In the application, carbendazim, iprodione, lotus seed pod extract and seaweed residue are combined as effective components of the insecticide, and according to field experiment data, the pesticide preparation for preventing and treating watermelon fusarium wilt is applied in the soil for many years, the disease index is 7.22%, the control effect is 82.44%, the yield of single plant is 9.75 kg±0.35 kg, and the yield per mu is 2865 kg. The seaweed residue and the lotus seed pod extract are mixed as a pesticide synergist, and are compounded with the basic chemical pesticide, so that the obtained pesticide preparation has better effect in preventing and treating watermelon fusarium wilt, and the effect after combination is better than that of the basic chemical pesticide, the seaweed residue or the lotus seed pod extract used alone, and the application has practical significance for preventing and treating watermelon fusarium wilt and improving the yield of watermelon.

The invention relates to an earth surface simple multifunctional experiment small wind tunnel which comprises an air inlet end installed at the top of a test bed, a rectification contraction end is installed on one side of the air inlet end, a first experiment end is installed on one side of the rectification contraction end, and a second experiment end is installed at an opening in the bottom of the end, close to the rectification contraction end, of the first experiment end. Rough elements are placed in grooves in the bottom ends of the interiors of the experiment end II and the experiment end I, and drainage assemblies are mounted at through holes in the two sides of the experiment end I. By designing the first experiment end, the second experiment end, the drainage assembly and the multi-style rough elements, the wind tunnel can flexibly switch the wind direction, parallel wind and vertical wind can be simulated, various experiment requirements can be met, the experiment period can be greatly shortened, the experiment efficiency is improved, and compared with field experiments, the experiment efficiency is greatly improved. The wind tunnel experiment can be carried out indoors, and the influence of natural factors such as weather and terrain is avoided, so that the experiment cost is reduced.

The present invention belongs to the field of infrastructure technology, specifically a construction method for a subway underground excavation station project. The construction technology of the subway underground excavation station project is initially developed through research methods such as technical investigation, theoretical analysis and numerical simulation, advanced geological prediction, field experiments and field tests, induction and summary, technical refinement, and reference to a large number of foreign technologies. At the same time, the current status of similar engineering and technical research and application at home and abroad is also fully grasped. Furthermore, the causes of excavation accidents are analyzed. Based on various investigations and analyses, a detailed research outline and work plan are formulated. Furthermore, theoretical analysis and numerical simulation methods are used to study the surrounding rock stress redistribution and displacement distribution law and the force characteristics of the support structure during the pilot tunnel excavation process; so that the construction technology of the subway underground excavation station project in the present invention can be carried out quickly and safely step by step during execution, ensuring the completion time and quality.

The invention provides a knowledge management system and method for thickened oil recovery, and the system comprises a knowledge base and a knowledge comprehensive management mechanism, and the knowledge base is used for receiving and storing multi-level knowledge data related to a thickened oil recovery process; the knowledge comprehensive management mechanism comprises a project management module, a research progress management module, a result library management module, a basic database management module, a mine field experiment library management module and an expert information library management module, realizes multi-level data knowledge management and flow control of a project, provides a research progress and result sharing platform, provides a basic data, expert information and experiment data storage library, and provides a data management platform; and a visual display service is provided. By adopting the scheme, the problems of knowledge storage fragmentation, non-uniform knowledge display modes and the like in the prior art are effectively solved, the method has the advantages of integration, knowledge, parameterization, automation, configurability, navigability and the like, the complexity of knowledge management is reduced, the research level of major special projects is improved, and the knowledge planning capability and the application capability of projects are improved.

The embodiment of the specification provides a two-dimensional joint roughness coefficient nonlinear determination method and device based on GBDT, wherein the method comprises the following steps: obtaining three-dimensional point cloud data of rock joint sample surface topography through scanning; performing simplification processing on the three-dimensional point cloud data and exporting the three-dimensional point cloud data as a CSV file; calculating joint surface topography statistical parameter values and taking the joint surface topography statistical parameter values as machine learning model features; obtaining wall rock strength JCS of the rock joint sample through field experiments, performing direct shear test on the structural surface sample under a certain normal pressure, determining the basic internal friction angle and the peak shear strength of the structural surface sample, and calculating the JRC of the joint surface according to the JRC-JCS shear strength model; establishing a training set and a test set; establishing a GBDT model with a decision tree as a base learner, training and adjusting the model by using the training set, obtaining the trained GBDT model, inputting the test set into the trained GBDT model for testing, and finally taking the average value of the predicted values as the JRC value of the joint surface predicted by the model.

The invention discloses a test method for identifying an irradiation sensitive module of a system-in-package device, and the method comprises the following steps: S1, carrying out a wide-energy-spectrum neutron irradiation test on a tested SiP device, and obtaining a single-particle upset cross section sigma i of each module in the tested SiP device; s2, calculating the atmospheric neutron single event effect soft error rate Ri of each module by using the atmospheric neutron environment flux of the real place; s3, calculating the sensitivity Pi according to the atmospheric neutron single event effect soft error rate of each module and the importance of each module in the SiP device; and S4, evaluating the atmosphere neutron irradiation reliability of the SiP device according to the obtained sensitivity data. According to the method, the atmosphere neutron irradiation reliability of the SiP device is judged through the sensitivity, the atmosphere neutron irradiation reliability of the device can be evaluated through the method, the time required by field experiments is saved, and designers are helped to more efficiently carry out anti-irradiation reinforcement on the device.

The invention belongs to the field of microorganisms, and particularly relates to a soil conditioner as well as a preparation method and application thereof. According to the invention, the constructed synthetic flora is used for preparing the composite microbial soil conditioner, and pot experiments verify that the composite microbial agent can significantly improve the growth of banana seedlings. Furthermore, field experiments are combined with multiple analysis methods to deeply research and analyze the influence of the soil conditioner on soil components and microbial flora, and the regulation effect of the prepared soil conditioner on the soil fertility and the soil microbial flora is further clarified. The results provide solid practical data and theoretical basis for large-area popularization of the soil conditioner, and open up a new path for green yield increase and soil carbon sink improvement in the banana industry.

The present application relates to grassland species evaluation technical field, disclose a kind of grassland species diversity evaluation method and device based on vegetation radiation transmission model, the method comprises: construct the three-dimensional model of grassland quadrat with different species composition and different crown layer structure complexity;Simulate grassland plant leaf reflectivity spectrum curve and the reflectivity spectrum curve of soil background;According to grassland plant leaf reflectivity spectrum curve and the reflectivity spectrum curve of soil background, simulate grassland crown layer hyperspectral image;Calculate the crown layer spectral diversity index and crown layer structure character of grassland quadrat three-dimensional model;Using single or combined crown layer spectral diversity index and crown layer structure character constructs grassland species diversity evaluation model and evaluates grassland species diversity.The present application can effectively control the possible influence factor such as parameter based on crown layer spectral measurement evaluation grassland species diversity in field experiment, eliminate interference factor for grassland species evaluation, reach variable control, accurate evaluation effect.

The invention discloses a method for identifying nitrogen absorption capacity of wheat in a seedling stage based on potassium chlorate culture in combination with field experiments. The method comprises the following steps: (1) screening potassium chlorate with proper concentration; (2) after the seeds of the different wheat varieties germinate, transplanting the seeds into a culture medium containing potassium chlorate with a proper concentration, culturing the seeds to a one-leaf and one-core period, and calculating the growth inhibition ratio of the different wheat varieties so as to evaluate the sensitivity of the different wheat varieties to the potassium chlorate sensitivity; (3) field trials are adopted at the same time, crops of different wheat varieties are planted randomly, the trials take nitrogen fertilizer as main treatment, and three nitrogen element levels are designed in total and are respectively a group without nitrogen fertilizer application, a group with normal nitrogen application and a group with high nitrogen; and in the test process, observing and recording agronomic characters of each test material. According to the method, potassium chlorate screening in the seedling stage is combined with field agronomic character single plant grain weight growth rate comprehensive evaluation, and the efficient nitrogen absorption germplasm can be accurately identified.

The application relates to the technical field of particle deposition and semiconductor radiation resistance analysis, and discloses an alpha particle energy deposition calculation method based on a Monte Carlo particle transport simulation tool, which sequentially comprises material and particle source setting, use of an energy deposition scorer, statistics of single particle events, calculation of a soft error rate, and output and data analysis. By using the application, the need for field experiments is greatly reduced, and the time and cost required by experiments are saved. Moreover, by using a simulation method, a designer can more efficiently calculate the energy deposition of alpha particles in a semiconductor device and obtain the soft error rate of the alpha particles, and can perform radiation resistance reinforcement design of the semiconductor device according to the data, so that the radiation resistance performance and reliability of the device are improved.

The present invention discloses a field open-type warming test device and an installation method. The device includes multiple wind poles, each of which is provided with a first clamping plate, on which a combination bracket is supported, and multiple infrared radiation heating components are provided below the combination bracket. The combination bracket is also provided with a detachable connecting rod assembly, one end of which is connected to a canopy temperature sensor via a second clamping plate. The canopy temperature sensor is arranged at an angle, and the sensor probe of the canopy temperature sensor is oriented toward the infrared radiation heating component. The field open-type warming test device is based on a movable and adjustable infrared radiation heater, which can achieve timed warming of the plant canopy, regulate the warming amplitude in real time according to the target temperature difference, and automatically record data. The heat source height can also be adjusted according to changes in plant height caused by changes in the crop growth period. It is particularly suitable for conducting field experiments related to crop growth responses under simulated future climate warming conditions.

The present application relates to a kind of rice growth process three-dimensional scene construction method based on crop growth model and rendering engine, steps are as follows: through field experiment, plant density, distribution, leaf angle distribution and leaf spectrum, canopy spectrum and substrate reflectivity are obtained, and single rice 3D model is constructed;Coupling crop growth model, the canopy structure parameter and leaf BRDF are used to describe the reflection characteristics of vegetation canopy, and the canopy reflection factor is simulated;According to water biological optics model and wave water surface reflection model, water scattering phase function and water surface BRDF are calculated respectively;Three-dimensional water volume model is generated by AVRM model;By using Blender software, LuxCoreRender rendering engine is coupled into incident radiation, vegetation canopy reflection factor, water optical property and other related input parameters, and real rice scene is constructed.The method establishes high-precision three-dimensional rice scene model, improves the precision and efficiency of rice remote sensing radiation modeling, and further provides important technical support for agricultural remote sensing and wetland monitoring, with popularization and application prospect.