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Your growth model should be a mix of strategies that align with your vision and goals. The number of strategies in the model depends on the maturity, resources, and desired pace of growth. You should grow at the pace your business allows, depending on its size, industry and capabilities.
Compact sandstone reservoir complex netted fracture prediction method
ActiveCN105319603AEffectively predict occurrenceEffective predictive densityMaterial strength using tensile/compressive forcesMaterial strength using steady shearing forcesRelational modelPeak value
The invention belongs to the petroleum exploration field, and concretely relates to a compact sandstone reservoir complex netted fracture prediction method. The method comprises the steps of: building a geological structure model and a fracture growth model; testing magnitudes and directions of ancient and modern crustal stresses; completing a rock mechanic parameter experiment; testing rock mechanic parameters and fracture stress sensitivities; developing a fracture rock multistage composite rupture criterion; performing a rock deformation physical test to obtain a peak value intensity; building a relation model between single axle state stress-strain and fracture bulk density; building a relation model between triaxial state stress-strain and fracture bulk density and occurrence; building a relation model between single axle state stress-strain and fracture bulk density; calculating and stimulating fracture parameters under modern conditions; and verifying the reliability of a fracture quantitative prediction result. The method can accurately obtain compact sandstone reservoir complex netted fracture parameters, and perform quantitative characterization, is suitable for quantitative prediction of any fracture mainly with a brittle reservoir, and reduces exploitation risks and costs.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)
Intelligent orchard planting management system
InactiveCN109191074AAchieve precision plantingImprove management levelOffice automationAutomatic controlMulti dimensional
The invention discloses an intelligent orchard planting management system, which obtains the fruit tree growth environment information according to the wireless network, and realizes fast, multi-dimensional and multi-scale real-time monitoring of orchard information. Based on depth learning, a growth model is constructed for each fruit tree, which is displayed visually and dynamically to the userthrough VR / AR stereo models, diagrams and curves; when the environment data is abnormal, the system will give various sound and light alarms. By using big data, cloud computing, data mining, artificial intelligence, and audio and video technology, the system makes agricultural planting more precise; according to the feedback of the above information, the decision-making support of irrigation andfertilization in the park can be provided to realize the intelligent machine, such as intelligent irrigation, intelligent fertilization, infrasound repelling of birds and insects, remote control of the production process and fixed-point operation. The invention provides a set of scientific system and accurate agricultural intelligent production management system for planters to solve the above problems.
Owner:NINGXIA UNIVERSITY
Growth functions for modeling oil production
ActiveUS20170177992A1Improve predictabilitySurveyFluid removalFinite difference modelSimulation based
The present disclosure describes the use of growth models and data driven models that are combined for quickly and efficiently modeling SAGD reservoir oil production. Growth function surrogate models are used for efficient and reliable reservoir modeling and production forecasting as opposed to CPU intensive simulations based on finite difference models. A data-driven technique can then compare the growth function surrogate model with real field data to find discrepancies and inconsistencies between the two, allowing for an updates and improvements of the growth function model.
Owner:CONOCOPHILLIPS CO
System and Method to Service Medical Equipment
InactiveUS20090281867A1Efficient managementLocal control/monitoringHospital data managementMedical equipmentEvent data
A system and method to facilitate service delivery to a client is provided. In one embodiment, a system may collect service event data corresponding to one or more failure modes from a population of devices and analyze the service event data in accordance with a reliability growth model to detect a trend in occurrences of the one or more failure modes. The system may also predict future client demand for service of the population of devices attributable to the one or more failure modes based at least in part on the detected trend, and generate a report indicating at least one of the detected trend or the predicted future client demand.
Owner:GENERAL ELECTRIC CO
Information visualization method and intelligent visual analysis system based on text curriculum vitae information
ActiveCN104318340AMeet unified processing needsNatural language data processingResourcesData dredgingInformation visualization techniques
The invention discloses an information visualization method and an intelligent visual analysis system based on text curriculum vitae information. The method comprises the following steps: (1) experience level quantization calculation is performed on experience information in each piece of text curriculum vitae information to obtain growth trajectory sequence data, and the data is visualized; (2) the growth trajectory sequence data of multiple pieces of text curriculum vitae information is selected for correlation calculation to obtain the potential social relation between text curriculum vitaes, and the potential social relation is visualized on a social network; and (3) curriculum vitaes with unit intersection are converted into the organizational hierarchy of corresponding persons in the unit based on the potential social relation between the curriculum vitaes, and the organizational hierarchy is visualized in an organization. Through data mining and the information visualization technology, the spatio-temporal growth experience of a person represented by a curriculum vitae can be obtained, the potential social relation between persons can be found, and the organizational hierarchy of the persons can be restored, thus obtaining the deep cognition of the group growth model and the social relation.
Owner:INST OF SOFTWARE - CHINESE ACAD OF SCI
Intelligent prediction method for ultra-high plant safe distance of overhead transmission line
The invention relates to an intelligent prediction method for the ultra-high plant safe distance of an overhead transmission line. The method includes the steps that a tree height growth model is selected, the tree height below wires is predicted, and the predicted tree height C is acquired; calculation is conducted according to the formula shown in the specification, and the predicted span interval delta h is acquired; the predicted span interval delta h is compared with the preset electrical safe distance, and then tree processing early warning information is acquired. By the adoption of the method, the operating safety and reliability of the overhead line can be effectively improved.
Owner:HEYUAN POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
Data processing method and device for nursing robot
ActiveCN107030691ASuitable for interactiveProgramme controlProgramme-controlled manipulatorModel engineAlgorithm
The invention discloses a data processing method and device for a nursing robot. The method and device are used for solving the problem that a nursing robot in the prior art can only be selected in a set interaction mode by calculating the emotional state of an interaction object and cannot provide a more proper interaction mode for the interaction object. The method includes the steps that a model engine receives the data of a target object to generate a growth model capacity parameter matrix of the target object, the model engine adjusts capacity parameter adjustment values in the growth model capacity parameter matrix according to an adjustment formula coefficient or a standard growth model capacity parameter matrix, the adjusted capacity parameter adjustment values are determined, and the model engine judges whether the adjusted capacity parameter adjustment values exceed a preset threshold value or not; and if the adjusted capacity parameter adjustment values are within the preset threshold value range, the model engine sends the adjusted capacity parameter adjustment values to a machine learning engine.
Owner:HUAWEI TECH CO LTD
Method for predicting high-low-cycle composite fatigue crack growth life of turbine joggle structure
ActiveCN106644490AImprove scalabilityInhibit expansionEngine testingCrack tip opening displacementEngineering
The invention relates to a method for predicting the high-low-cycle composite fatigue crack growth life of a turbine joggle structure, and the method comprises the steps: (1), building a crack growth model giving consideration to a crack closure effect; (2), determining a high-cycle load stress intensity factor model; (3), determining a low-cycle load stress intensity factor model; (4), judging whether a current cycle is a high-cycle load or not: executing step (5) if the current cycle is the high-cycle load, or else executing step (6); (5), calculating a composite fatigue lower crack increment, judging whether a next cycle is a low-cycle fatigue load or not: obtaining the maximum crack tip opening displacement of the current cycle if the next cycle is the low-cycle fatigue load, and executing step (7), or else executing step (8); (6), calculating the variance of the low-cycle load lower crack tip opening displacement; (7), calculating the residual crack tip opening displacement and crack increment according to the results inputted at steps (5) and (6); (8), updating the crack length, repeatedly carrying out the steps (4)-(7) if the maximum stress intensity factor is less than the fracture toughness, or else completing the calculation, and obtaining the crack growth life.
Owner:BEIHANG UNIV
Forest biomass amount retrieval method based on collaboration of optical reflection model and microwave scattering model
ActiveCN104483271AReflect the complementary effectHigh precisionMaterial analysis using microwave meansMaterial analysis by optical meansOptical reflectionGround frost
The invention provides a forest biomass amount retrieval method based on collaboration of an optical reflection model and a microwave scattering model. The forest biomass amount retrieval method comprises the following steps: 1) establishing an optical-microwave radiation transmission collaborative model by comparing the difference between the optical reflection model and the microwave scattering model; 2) establishing an optical bidirectional reflection and microwave back scattering characteristic databank and a corresponding over-ground forest biomass parameter bank of a forest based on an individual growth model and the optical-microwave radiation transmission collaborative model; 3) respectively establishing a unisource optical model and a unisource microwave model for biomass retrieval based on an optical-microwave collaborative simulation databank; 4) through sensitivity analysis on optical and microwave key factors, confirming respective weights of the optical and microwave data in the collaborative model, thereby establishing an optical-microwave collaborative model for AGB retrieval. According to the forest biomass amount retrieval method, optical remote sensing data and microwave remote sensing data are combined, the advantages of the optical remote sensing data and the microwave remote sensing data in biomass retrieval are put into full play sufficiently, and the quantitative retrieval precision of the over-ground frost biomass amount is effectively improved.
Owner:WUHAN UNIV
Method for predicting service life of reinforced concrete bridge under conditions of seasonal corrosion and fatigue coupling
ActiveCN109827855AEnables corrosion fatigue life assessmentNovel forecasting methodWeather/light/corrosion resistanceMaterial testing goodsStress concentrationRebar
The invention discloses a method for predicting the service life of a reinforced concrete bridge under the conditions of seasonal corrosion and fatigue coupling. The method comprises the steps: dividing the service life of the reinforced concrete bridge into three stages: corrosion initiation-pure fatigue crack development stage, a rust pit and fatigue crack competing development stage and a structure failure stage; establishing an initial reinforcing steel bar corrosion model and a rust pit growth model based on the Fick second diffusion law and the consideration of the influence of concreterust expansion cracking damage; testing and simulating a reinforcing steel bar crack propagation rule under the influence of a four-season environment, and determining fatigue crack growth characterization parameters; constructing a stress intensity factor model considering the influence of stress concentration, and proposing a steel bar corrosion fatigue crack growth analysis method correspondingto a four-season environment; enabling the structural failure criterion to be clear, combining with the vehicle load observation information, performing the systematic consideration of the competitive coupling relation between rust pit growth and fatigue crack growth, judging a failure mode in real time, and achieving the prediction of the service life of the bridge. The method is novel and reasonable, and can provide technical support for safety assessment of the concrete bridge.
Owner:CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
Transfer service platform for high and new technology and advanced and applicable technology
InactiveCN106469148AFind quicklyModel innovationData processing applicationsWebsite content managementComputer moduleThe Internet
The invention provides a transfer service platform for high and new technology and advanced and applicable technology. The platform comprises a first-stage sub-module and a second-stage sub-module. Through the combination between the internet and an off-line innovation service platform, a digit exhibition hall is configured by an interactive mode based on an exchange terminal so that interactive online and offline display of high and new technology and advanced and applicable technology, vertical search, precise feeding, joint advisory among experts, scientific assessment, bid invitation for problems, transfer and transformation, funding and hatching services become a reality by setting up an exhibition and trading area for technology and new products, an exhibition and trading area for achievement-commercialization programs for national scientific and technological plans, an exhibition area for high technology of civil-military dual-use, an exhibition and trading area for patent technology and an area for technology transfer mechanisms. The transfer service platform for high and new technology and advanced and applicable technology has following beneficial effects: in order to create a favorable soft environment for technology transfer, a user should seize a new round of great opportunities for optimization and recombination of global production factors as well as industry transfer and technology transfer; and by technology transfer cooperation, trade and investment growth are driven and growth models are transformed so as to drive coordinated development among regions.
Owner:长沙海联投资咨询管理有限公司
Dynamic modification of gap fill process characteristics
ActiveUS7176039B1Strong Gap Filling CapabilityEasy to processSemiconductor/solid-state device testing/measurementSemiconductor/solid-state device manufacturingProcess optimizationDielectric
A method for process optimization to extend the utility of the HDP CVD gap fill technique modifies the characteristics of the HDP process (deposition and sputter components) in a dynamic mode in the course of filling a trench with dielectric material. As a result, the amount of dielectric deposited on the sidewall of the trench relative to that deposited at its bottom can be reduced and optimally minimized, thus improving the gap fill capability of the process. The dynamic modification of process characteristics provides enhanced process performance, since the optimization of these characteristics depends upon structure geometry, which is constantly changing during a gap fill operation. During the course of the gap fill operation, either at one or more discrete points or continuously, the evolution of the feature geometry is determined, either by direct measurement or in accordance with a growth model. The deposition process is modified to optimize the characteristics to the partially-filled feature geometry, and further filling the partially-filled feature using the modified deposition process is conducted. The process modification, including the geometry determination, and further filling with optimized process characteristics is optionally repeated until the gap is filled. In semiconductor manufacture, the invention relates to HDP CVD processes used to deposit IMD, ILD, or STI films for gap fill applications.
Owner:NOVELLUS SYSTEMS
Construction of entropy-based prior and posterior probability distributions with partial information for fatigue damage prognostics
InactiveUS20140100827A1Computation using non-denominational number representationDesign optimisation/simulationFatigue damageAlgorithm
A method for predicting fatigue crack growth in materials includes providing a prior distribution obtained using response measures from one or more target components using a fatigue crack growth model as a constraint function, receiving new crack length measurements, providing a posterior distribution obtained using the new crack length measurements, and sampling the posterior distribution to obtain crack length measurement predictions.
Owner:SIEMENS ENERGY GLOBAL GMBH & CO KG
Growth and management interactive visualization simulation method for forest stand
The invention relates to a growth and management interactive visualization simulation method for a forest stand. The growth and management interactive visualization simulation method for the forest stand comprises the steps that firstly, variables needed by a full forest stand growth model, a diameter class growth model, an individual tree growth model and a forest measurement factor estimation model are established; secondly, a user-defined forest stand growth model analyzer is constructed; thirdly, the current situation and the variables of the forest stand after growth changes are automatically stored dynamically, extracted and calculated; fourthly, an individual tree visualization model parameter calculation method based on a user-defined forest stand growth model is constructed, and interactive forest stand growth visualization simulation under the user-defined forest stand growth model is achieved; fifthly, visualization simulation is carried out on the forest stand structures, forest stand two-dimensional states and three-dimensional scenes before and after management of the forest stand by adopting the GDI and drawing technology and the MOGRE technology, and growth and management interactive visualization simulation of the forest stand is achieved.
Owner:RES INST OF FOREST RESOURCE INFORMATION TECHN CHINESE ACADEMY OF FORESTRY
Forest stand growth modeling method based on relation model
InactiveCN104166748AEfficient and precise constructionFlexible constructionSoftware simulation/interpretation/emulationSpecial data processing applicationsRelational modelNormal density
The invention relates to a forest stand growth modeling method based on a relation model. The method includes the following steps that (1) tree trunks are established, and the trunks are considered as models respectively formed by a single cone frustum or multiple cone frustums; (2) bending of the trunks is controlled, the bending degree of the trunks is controlled by adjusting the relative positions of the cone frustums, the shapes of the tree trunks are fit into a parabola set, and every two adjacent cone frustums are processed in a smooth splicing mode; (3) the angles of elevation of branches are controlled, the branches are set on the trunks, the angles of elevation of the branches are set to obey the normal distribution law, and the initial angles of elevation of the branches are determined through a probability density function and a random function; (4) the azimuth angles of the branches are controlled, and the azimuth angles of the branches are controlled through a chaos function; (5) leaves are drawn, the leaves are set on the branches, and image vectorization and triangularization subdivision or leave photo transparency efficient processing are adopted; (6) a tree growth model is established; (7) a forest stand growth model is established. Compared with the prior art, the forest stand growth modeling method has the advantages that modeling is performed based on a small amount of actually measured data of trees, trees and forest stands can be vividly simulated while efficient and fast modeling is achieved.
Owner:CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
Hyperspectral image-based method for predicting growth of rot funguses
InactiveCN104297165AReduce usageShorten the timeColor/spectral properties measurementsPlant diseaseBiology
The invention provides a hyperspectrum-based method for creating a growth curve of rot funguses in a fruit, and belongs to nondestructive technology of food quality safety quick detection and monitoring. Hyperspectral images of the funguses at different growth stages can be acquired respectively through a hyperspectral imager, so as to analyze difference between images of different types of funguses at different stages and a spectrum, extracting corresponding images and corresponding spectrum characteristic parameters, and respectively creating the growth models of three types of funguses. Compared with the fungus growth conditions obtained through the conventional microbe growth detection manner, the related coefficient ranges from 0.88 to 0.96. The method provides a new concept and a new technology for growth detection of microbes in the foods, can be used for creating a fungus growth curve more conveniently and faster, and can be used for detecting, monitoring and controlling fruit rot fungus diseases.
Owner:NANJING AGRICULTURAL UNIVERSITY
Facility tomato supplemental lighting adjustment and control method and system based on growth model
ActiveCN103987170AImprove general performanceImprove stabilitySaving energy measuresElectric light circuit arrangementControl systemEffect light
Disclosed is a facility tomato supplemental lighting adjustment and control method based on a growth model. Three growth stages of the tomato seedling stage, the flowering stage and the fruiting stage are selected, the tomato leaf net photosynthetic rates at different temperatures and with concentrations of carbon dioxide and light intensities are measured, corresponding light saturation points at different temperatures and with concentrations of carbon dioxide are obtained, and a tomato optimized light saturation point model is built; the temperature, the concentration of carbon dioxide and the light intensity in the tomato growth environment are monitored in real time, whether the current light intensity is at the light saturation point corresponding to the current temperature and the current concentration of carbon dioxide is judged according to the growth stage of tomatoes and the tomato optimized light saturation point model, and if not, an LED light source is used for light supplementation until the light intensity reaches the light saturation point. The invention further provides a facility tomato supplemental lighting adjustment and control system based on the growth model, intelligent and quantitative light supplementation of the tomatoes is achieved, and great significance is brought to energy-saving and high-efficiency production of the facility tomatoes.
Owner:NORTHWEST A & F UNIV
Method, device and realization device for predicting hidden trouble of tree barrier of transmission line
InactiveCN109215065AImprove forecasting efficiencyImprove predictabilityImage enhancementImage analysisPoint cloudAlgorithm
The embodiment of the invention provides a tree barrier hidden trouble prediction method, a device and an implementation device of a transmission line. The method comprises the following steps: acquiring 3D point cloud data under a target environment; identifying the current distance between trees and transmission lines from 3D point cloud data; according to the tree growth model established beforehand, the growth law of trees is predicted. The tree growth model is established according to the corresponding relationship between tree height and current data of trees. The current data of trees include at least the current height, tree species, tree age, tree position, tree density, meteorological data and topographic information; according to the current distance and the growth rule of trees, the hidden trouble of tree barrier is predicted. The invention improves the prediction efficiency and the prediction ability of the hidden trouble of the transmission line tree barrier.
Owner:BEIJING GREEN VALLEY TECH CO LTD +1
Drought monitoring method based on HJ-1A/1B CCD data
InactiveCN103424405AEliminate vegetation impactAchieve optimal configurationMaterial analysis by optical meansMathematical modelCrop cultivation
The invention discloses a drought monitoring method. The drought monitoring method comprises the steps that (1) crop cultivation distribution information in a monitored area is obtained; (2) an MPDI mathematic model is built based on HJ-1A / 1B CCD data, a mathematic model between MPDI and soil water content is built, and MPDI data threshold values, at all degrees of drought, of crops are determined according to soil water threshold values, at all degrees of drought, of the crops; (3) a growth model of the crops is introduced, assimilation is conducted on the growth model of the crops and the HJ-1A / 1B CCD data, and the period of duration of the crops is determined; (4) according to the period of duration of the crops in the monitored area, the MPDI data of the crops in the period of duration of the crops and the MPDI data threshold values, at all degrees of drought, of the crops, the drought degree of the crops in the monitored area is obtained, and the drought situation of the crops in the period of duration is judged according to the level of sensitivity of the crops to water in the period of duration. Corresponding drought control measures can be accurately and accordingly adopted according to the drought situation of the crops in the period of duration.
Owner:SOUTH CHINA AGRI UNIV
Method for detecting software reliability of high-speed train network control system
InactiveCN103678101AQuantitative Evaluation of ReliabilityReach Reliability RequirementsSoftware testing/debuggingSoftware systemModel parameters
The invention relates to a method for detecting the reliability of a high-speed train network control system. The method includes the steps that a maximum likelihood estimation method is used for obtaining model parameters through error occurrence time data obtained in the reliability testing process and according to a Jelinski-Moranda model formula; the model parameters are substituted into the model formula to obtain results of all reliability parameters of the system, so that whether the system meets the reliability requirements or not is judged. According to the method, software reliability parameters can be evaluated quantitatively through the error occurrence time data obtained in the testing process and by the utilization of a reliability growth model derivation formula, meanwhile how much testing time is still needed or how many questions needs to be found out for enabling software to meet the reliability requirements can be estimated, and reference is provided for testing personnel or managers for testing schedule control and project schedule grasp. A detection system of the method is unrelated to a used programming language. Detection of the software system reliability is not directly related to the programming language which is selected for authoring the software.
Owner:INST OF SOFTWARE - CHINESE ACAD OF SCI
System, method, and apparatus for modeling project reliability
InactiveUS20150025872A1Analogue computers for electric apparatusReliability/availability analysisReliability modelDependability
A system, method and apparatus arranged for early-stage reliability-growth models for predicting project reliability at an early stage. These predictions can integrate with an overall system reliability model. Embodiments include predicting reliability of hardware, software, or any other engineering project.
Owner:RAYTHEON CO
Intelligent water-saving irrigating method based on crop demand
The invention provides an intelligent water-saving irrigating method based on crop demand. The method comprises the following steps of (1) determining crop internal growth mechanism parameters (r) and (Sp) according to a type of the cultivated crop, (2) building a growth model for crop growth periods (i) and determining biomass output of the crop during different growth periods according to the internal crop growth mechanism parameters in a quantitative way, (3) building a water demanding amount model for crop growth periods and calculating water demanding amount during different growth periods according to the biomass output acquired in the second step and soil moisture content data acquired via an environment monitoring device, and (4) carrying out an irrigating scheme for the full growth periods of the crop according to the water demanding amount acquired in the third step. The irrigation scheme is made according to a mathematic model based on crop growth rules, so the irrigation scheme can be applied to pot-culturing devices with limited irrigation; technical support is provided automatic on-off control of intelligent agricultural irrigating equipment; and water can be utilized to the largest extent.
Owner:QINGDAO ACADEMY OF INTELLIGENT IND
Tree form simulation method based on self-adaptive fractal algorithm
InactiveCN103679773AFlexible adjustment performance2D-image generationGraphicsIterated function system
The invention relates to a tree form simulation method based on a self-adaptive fractal algorithm. The method comprises the following steps of obtaining a tree form image tImage; establishing a tree form model tModel; calculating the length of first-stage branch Ln; building an IFS (iterated function system) fractal matrix Wn; realizing the three-dimensional tree fractal. As the tree form feedback mechanism of IFS fractal is established, the tree form model covers the frequently used tree growth models including a tree height growth model, a crown diameter growth model, a crown height growth model and a crown length rate model in forestry industry, and meanwhile, a crown shape index change model is added. By adopting the models, the parameters of the IFS fractal matrix can be controlled, so the fractal growth is completely applicable to the model curve representing the actual tree growth. The following figure comparison refers to the tree height growth simulation and the crown diameter growth simulation before and after improved simulation by the IFS fractal method. The growth of each stage of branch, growth of crown length rate, change of crown shape indexes, and the like also have similar difference.
Owner:RES INST OF FOREST RESOURCE INFORMATION TECHN CHINESE ACADEMY OF FORESTRY
Depth image-based broiler growth model fitting method and apparatus
InactiveCN106529006AConducive to predicting the law of growth and developmentSpecial data processing applicationsImage segmentationBody weight
The invention relates to a depth image-based broiler growth model fitting method and apparatus. The method comprises the steps of obtaining a depth image of a broiler sample; segmenting a broiler in the depth image based on a preset image segmentation method; performing one-dimensional feature parameter, two-dimensional feature parameter and three-dimensional feature parameter extraction according to the segmented depth image, performing quantification processing, and building a body weight estimation model of the broiler by adopting various preset regression models; and performing fitting according to the body weight estimation model and various typical nonlinear growth curves so as to obtain a curve model which can represent broiler growth and development to the best. According to the method and the apparatus, the body weight of the broiler is subjected to informationized decision-making by adopting the depth image and the growth curve model; feature index parameters capable of effectively expressing the body weight of the broiler are extracted by utilizing information contained in the depth image; and the growth curve fitting of the broiler is realized on the whole in a mode of carrying out quantitative calculation and variable accurate fitting successively, so that a growth and development law of the broiler can be predicted conveniently.
Owner:BEIJING RES CENT FOR INFORMATION TECH & AGRI
Grouting shim plate construction method
InactiveCN102286988AGuaranteed StrengthEasy to operateFoundation engineeringContinuous/uninterruptedUltimate tensile strength
The invention discloses a grouting shim plate construction method. The method comprises the following steps of: arranging a sheet which is fixed with a shim plate at three points on the periphery of the used shim plate and making a circular hole in the sheet; chiselling grouting pits at a position of a concrete foundation provided with a shim iron, and clearing away impurities in the pits; vertically arranging three screw bolts in each grouting pit and arranging regulating nuts on the screw bolts; arranging the shim plate on the screw bolts and regulating the elevation and the horizontality of the upper plane of the shim plate through the regulating nuts; arranging grouting moulds on the peripheries of the grouting pits and continuously and unremittingly pouring Gordon growth model (GGM) high-strength shrinkage-free grout from one side of each grouting mould; after initial set of the grouting material, smoothing and maintaining the surface of a grouting layer which is exposed in the air, and after final set, watering for maintaining the grouting layer; and the like. The construction method has the advantages that: the construction process is simple; the strength is easily ensured; and manpower, materials and time are saved.
Owner:TIANJIN 20 CONSTR
Three-dimensional modeling method of vast books of virtual library
InactiveCN101877144AEnsure consistencyImplement automatic updates3D modellingDimensional modelingLibrary science
The invention provides a three-dimensional modeling method of vast books of a virtual library, comprising the following steps: building a book catalogue database data growth model; realizing real-time dynamic and synchronous shelving of the book catalogue data according to the book catalogue database data growth model; and building a 'book-grade' virtual realistic scene model. The step of building a 'book-grade' virtual realistic scene model comprises: scanning, and registering the data of entity books; according to the picture of a single book and the basic attribute of the book, modeling to generate a single book mode; gradually generating each book so as to form a book model database; combining book shelving information, book reservation information, book state and the basic attribute of the book; successively displaying the virtual realistic scene of the library books, physical book reservation site bookshelves and physical book reservation sites by the virtual realistic technology; and finally, forming the general virtual realistic scene of the library.
Owner:SHENZHEN POLYTECHNIC
Rice plant type quantitative control method integrating crop virtual growth model
ActiveCN104376142AEasy to breedImprove efficiencySpecial data processing applications3D modellingEnvironmental modelPhysiological model
Provided is a rice plant type quantitative design method integrating a crop virtual growth model. The crop virtual growth model is constructed, effective correlation and combination of the main plant physiological process, morphological structures and a light environmental model are achieved, and visual virtual growth of crop plants can be achieved; in the crop virtual growth model, morphologies of crops at different growth periods are set up through a structure model, a physiological model is used for realizing dynamic prediction of production, distribution and final yield of crop assimilates, and the light environmental model is used for computing crop canopy light radiation quantity and crop individual fractional interception of photosynthetic active radiation; the crop plant type structure is continuously changed through an optimization algorithm, so that simulation results of different adaption degrees are obtained, and the optimal crop plant type based on different targets can be obtained; the different adaption degrees are used as optimization results of the targets and set as morphological parameters of the virtual growth model, analog operation is carried out, horizontal and longitudinal comparison is carried out, and the optimal plant type data of crops are verified and determined.
Owner:ZHEJIANG UNIV OF TECH
A calculation method of stand mean height and DBH considering neighborhood and geographical difference
ActiveCN109002621AReliable data supportCharacter and pattern recognitionDesign optimisation/simulationData ingestionData set
The invention discloses a calculation method of stand mean height and DBH considering neighborhood and geographical difference, which comprises the following steps: data extraction, regional area statistics, establishment of layered data sets, model training, model precision correction, model calculation and checking of the whole data. The method provides a modeling process for tree species with historical survey data which lack growth models or for which the existing growth models are not applicable based on the growth environment, tree species, operation status and various kinds of survey data, and applies spatial domain statistics, spatial interpolation, geographically weighted regression, machine learning and ArcGIS software for building models. The calculation method of average tree height and average DBH of dominant tree species in regional subcompartment, which can self-learn and optimize according to the data, can dynamically establish the calculation model for the target subcompartment to calculate the average tree height and DBH of the subcompartment in the regional scope, and can provide reliable data support for the calculation of forest stock.
Owner:RES INST OF FOREST RESOURCE INFORMATION TECHN CHINESE ACADEMY OF FORESTRY
Method for predicting and growing colored paddy patterns
InactiveCN104200006AEasy plantingSimple designData processing applicationsSpecial data processing applicationsGrowth modelHorticulture
The invention discloses a method for predicting and growing colored paddy patterns. By means of the method for predicting and growing the colored paddy patterns, paddies at various stages can be grown on a computer according to a paddy dynamic growth model and a planting scheme, and pattern effects of different stages can be predicted and displayed on the computer. Designers can conveniently achieve better design, planters also can conveniently and quickly learn the patterns to achieve better planting, and popularization of colored pattern planting in the agricultural sightseeing tourism is facilitated.
Owner:ZHEJIANG ACADEMY OF AGRICULTURE SCIENCES
Prestress concrete bridge corrosion fatigue life prediction method
ActiveCN109030333AThe prediction method is reasonableImprove applicabilityWeather/light/corrosion resistanceMaterial strength using repeated/pulsating forcesFatigue damageStress concentration
Owner:CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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