174 results about "Growth model" patented technology

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.