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32 results about "Source sink" patented technology

Source–sink dynamics is a theoretical model used by ecologists to describe how variation in habitat quality may affect the population growth or decline of organisms.. Since quality is likely to vary among patches of habitat, it is important to consider how a low quality patch might affect a population.

Exchange server, system and method for addressing and transmitting data in control network

The invention provides an exchange server, a system and a method for addressing and transmitting data in a control network, wherein the exchange server comprises a storage unit, a first processing unit and a second processing unit; the storage unit is used for storing a device map relation table and a source-sink relation table; the first processing unit is used for receiving a data packet sent by a source information node, inquiring the resource-sink relation table stored by the storage unit and obtaining and outputting the address of the exchange server, the ID of an end device and the information node number corresponding to a sink information node; the second processing unit is used for obtaining the address of a sink exchange server, the ID of the sink end device and the information node number, searching the device map relation table in the storage unit according to the ID of the end device corresponding to the sink information node when the address of the exchange server corresponding to the sink information node is the address of the exchange server, obtaining the address of the end device and sending the data packet with the sink information node number to the address. The invention simplifies the end device and saves the processing procedures of communication among end devices simultaneously.
Owner:新动力(北京)建筑科技有限公司

Improved multi-scale finite element method for stimulating two-dimensional water flow movement in porous media

The invention discloses an improved multi-scale finite element method for stimulating two-dimensional water flow movement in porous media. The method comprises the steps as follows: firstly, converting a problem to be solved into a variational form; determining a boundary condition, setting a grid cell size h, subdividing a research area, and obtaining coarse grid cells; subdividing each coarse grid cell; according to a permeability coefficient K and the boundary condition of a basis function, solving the problem of degenerating elliptic type, and determining the basis function; according to the basis function, obtaining cell stiffness matrixes, and adding the same to obtain a total stiffness matrix; according to the boundary condition of the research area and a source sink term, obtaining a right-hand side; adopting an effective calculating method to solve the simultaneous equations of the total stiffness matrix and the right-hand side; and obtaining the hydraulic heads of all nodes in the research area. Through various simulation tests, the obtained result coincides with the analytical solution. Compared with the prior art, the method disclosed by the invention is similar to the same in precision, but the calculating time of the method is less than 10% of the calculating time in the prior art. The efficiency is greatly improved when the method is used for solving wide-range, long-time or complicated problems.
Owner:NANJING UNIV

Soil heavy metal enterprise pollution source recognition method based on source-sink spatial variable inference

The invention discloses a soil heavy metal enterprise pollution source recognition method based on source-sink spatial variable inference. According to the method, first, pollution enterprise data, enterprise POI data and heavy metal pollution data in a to-be-studied region are acquired, enterprise industry category distribution of a dataset is adjusted, and a training dataset and a test dataset are separated after word segmentation processing is performed to eliminate local vocabularies; second, according to corpora established through the two datasets, the word frequency of words in all samples is subjected to statistical analysis to serve as text features corresponding to the samples, the samples of the training set are used to train a polynomial naive Bayesian model, and the model is assessed through scores of the test set; and last, industry categories and heavy metal pollution indexes are predicted according to the acquired enterprise data, numerical statistical analysis is performed in a grid generated according to the topological shape of the study region, a double-variable spatial self-correlation method is used to perform spatial analysis, the spatial distribution relation between pollution and enterprises is judged, and heavy metal point source and surface source pollution regions in the study region are recognized.
Owner:ZHEJIANG UNIV

Closely interlocked molecular mark of rice new gene source-sink 1 (SS1)

The invention relates to a molecular marking method of a rice new gene source-sink 1 (SS1), and belongs to the fields of super-high-yield breeding of rice and molecular genetics. The essence of the invention is as follows: according to the interlocking separation law, an F2 secondary separation group constructed by autocopuation of a near-isogenic line carrying a SS1 heterozygous segment is takenas a test material for constructing a set of crossing and stacking system of a target segment, phenotype is further combined for performing high-precision interlocking analysis on a target gene, through two years of two-point repeated identification, the SS1 is finally precisely positioned in an interval of 55Kb on the fourth chromosome and a PCR (polymerase chain reaction)-based molecular mark FL41 which is closely interlocked with the SS1 is further obtained. Through the application of the molecular marking method in the super-high-yield breeding of rice, genotype individuals which can simultaneously affect the characters of a library (the number of grains per panicle) and a source (the flag leaf width and the leaf area) can be fast accurately identified, the early generation selection of breeding material can be performed further and the process of the super-high-yield molecular breeding of rice can be greatly accelerated.
Owner:INST OF CROP SCI CHINESE ACAD OF AGRI SCI

Ancient landform recovery method based on source-sink system

PendingCN112327355ARestore intuitiveRecovery scienceSeismic signal processingLithologyMaterial distribution
The invention discloses an ancient landform recovery method based on a source-sink system. The ancient landform recovery method comprises the steps that: S1, selecting a to-be-recovered region, and determining a geological history period; S2, dividing source-sink units of a geological history period on the basis of the residual landform; S3, based on a structural evolution rule of the to-be-recovered region, determining a differential settlement rule and a deposition reference surface, and performing differential settlement correction; S4, defining the ranges of a denudation region, an over-stripping region and an over-covering region based on the unconformity interface characteristics of the to-be-recovered region and the seismic facies difference of different lithologies, and performingdenudation amount recovery on the denudation region and the over-stripping region based on the principle of conservation of substances of the source-sink system; and S5, superposing images obtained inthe step S3 and the step S4 to complete recovery of the ancient landform framework. According to the ancient landform recovery method, the denudation region material source and the total material amount are recovered more visually and scientifically, so that ancient landform and prototype basins in the deposition period are established, and guidance is provided for research on denudation and deposition region material distribution, landform evolution, reservoir characteristics, reservoir body distribution and the like.
Owner:中海石油(中国)有限公司深圳分公司

Method for determining suitable population size of corns on basis of source-sink relationship

InactiveCN109089789APromote high-yield cultivation researchDensity small footprintCereal cultivationLower limitMicro environment
The invention relates to the field of corn planting density measurement, in particular to a method for determining a suitable population size of corns on the basis of a source-sink relationship. The method comprises the following steps: establishing a relation model I for a single-plant dry matter accumulation rate and a harvesting density in an effective grouting period of seeds, establishing a relation model II for a single-plant seed accumulating rate and a harvesting density in an effective grouting period of the seeds, combining the relation model I to the relation model II, and taking the intersected point of the relation model I and the relation model II as the lower limit of the suitable population size; and after physiological maturity, measuring the population size under the condition of different densities, establishing a secondary function model of the population size and the harvesting density, and carrying out secondary derivation on the model to obtain the upper limit ofthe suitable popularization size. The method determines the suitable popularization size on the basis of dynamic change of the source-sink relationship of corns in a yield forming process, then a reasonable population structure is construction, a high-luminous-efficiency micro-environment is created, then production is guided, and a good foundation is provided for high yield of the corns.
Owner:INST OF COTTON RES CHINESE ACAD OF AGRI SCI +1

An improved multiscale finite element method for simulating two-dimensional water flow in porous media

The invention discloses an improved multi-scale finite element method for stimulating two-dimensional water flow movement in porous media. The method comprises the steps as follows: firstly, converting a problem to be solved into a variational form; determining a boundary condition, setting a grid cell size h, subdividing a research area, and obtaining coarse grid cells; subdividing each coarse grid cell; according to a permeability coefficient K and the boundary condition of a basis function, solving the problem of degenerating elliptic type, and determining the basis function; according to the basis function, obtaining cell stiffness matrixes, and adding the same to obtain a total stiffness matrix; according to the boundary condition of the research area and a source sink term, obtaining a right-hand side; adopting an effective calculating method to solve the simultaneous equations of the total stiffness matrix and the right-hand side; and obtaining the hydraulic heads of all nodes in the research area. Through various simulation tests, the obtained result coincides with the analytical solution. Compared with the prior art, the method disclosed by the invention is similar to the same in precision, but the calculating time of the method is less than 10% of the calculating time in the prior art. The efficiency is greatly improved when the method is used for solving wide-range, long-time or complicated problems.
Owner:NANJING UNIV

Method for statistically analyzing long-term change trend and seasonal change rule of atmospheric methane

InactiveCN107861914AAccurately quantify long-term trendsAccurately Quantify Seasonal VariationsComplex mathematical operationsData setStatistical analysis
The invention discloses a method for statistically analyzing the long-term change trend and seasonal change rule of atmospheric methane. The method includes the steps of firstly, building a long-termchange trend and seasonal change rule model V: V(t, b)=b0+b1cos2Pit+b2sin2Pit+b3cos4Pit+b4sin4Pit+..., and building a function model F: F(t, a, b)=at+V(t, b) for base-, airborne- or satellite-borne-observed active-passive atmospheric methane total column concentration data; secondly, using the bootstrapped sampling technology to perform strict fitting analysis on non-Gaussian-distribution data. The method has the advantages that by building the low-order Fourier series model and strict statistical analysis, the average trend and strict estimated seasonal change value of a given data set can beobtained, and the long-term change trend and seasonal change rule of the methane can be accurately quantified; the method is significant to fields such as atmospheric probing and weather change, applicable to the analysis of base-, airborne- or satellite-borne-observed active-passive atmospheric methane observation data and capable of providing valuable data sources for the source-sink analysis and dynamic change research and simulation of the atmospheric methane.
Owner:HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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