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37results about How to "Improve analysis effect" patented technology

Analysis processing method and device of three-dimensional model

The present invention provides an analysis processing method and device of a three-dimensional model. The method includes the following steps that: three types of adjacent relationship information ofeach part in the three-dimensional model are determined; all parts of the three-dimensional model are aggregated, so that three component hypothesis sets of the three-dimensional model are generated;voxelization expression processing is performed on each component in each component hypothesis set, so that the voxelization information of each component hypothesis is generated; the voxelization information of all the component hypotheses in each component assumption set is inputted into a recognition model, so that the credibility scores and semantic category probability distribution of each component hypothesis are obtained; and a high-order conditional random field model is established according to the credibility scores and semantic category probability distribution of each component hypothesis in the three component hypothesis sets, and the semantic category analysis result of each part in the three-dimensional model is obtained. With the method and device adopted, analysis processing can be performed on the semantic categories of a three-dimensional model of an internal-external structure, and good analytical results can be obtained.
Owner:BEIHANG UNIV

Wind power prediction error modeling method based on meteorological mode recognition

ActiveCN111008504AImprove analysis effectError Probability Density Model for Accurate Wind Power ForecastingForecastingCharacter and pattern recognitionDensity curveData set
The invention relates to a power grid wind power prediction technology, and especially to a wind power prediction error modeling method based on meteorological mode recognition. The method comprises the steps of: performing k-means clustering analysis on historical meteorological data to obtain a corresponding meteorological mode; according to meteorological data characteristics under each meteorological mode, training a support vector machine classifier; dividing the historical wind power prediction error data into sub-data sets in each meteorological mode by using the historical wind power prediction error data; and performing statistical analysis on the sub-data sets to obtain corresponding probability density curves, and obtaining a wind power prediction error probability density modelin each meteorological mode through least square fitting based on a universal distribution model to complete wind power prediction error modeling. According to the method, the influence of meteorological factors on the wind power prediction precision is considered, so that the wind power prediction error modeling result is more accurate; a universal distribution model is adopted, so that the fitting effect is better, and the analytic property of an expression is better; and an accurate wind power prediction error probability density model is provided.
Owner:WUHAN UNIV +1

Evaluation system for transient stability of large-scale power system based on optimal mutual information redundancy

The invention discloses an evaluation system for transient stability of a large-scale power system based on optimal mutual information redundancy. The system firstly obtains a power system large dataset that can approximately represent all operating characteristics of a current power system based on PMU data or software simulation; on the basis, an optimal characteristic set with maximum correlation and minimum redundancy with transient stability margin of the system is constructed through multi-time utilization of an information redundancy optimization algorithm; a function expression of a relationship between a selected variable and TSM is constructed by utilizing MATLAB; and the TSM can be directly estimated by an expression through real-time variable data obtained by the power system,after appropriate compensation is performed on a result, the result is fed back to on-site scheduling personnel in order to make timely decisions. The system can solve the shortcomings that traditional evaluation methods are poor in precision, are slow in speed, are poor in robustness of data loss, are poor in evaluation analyticity, and the like, and effectively meets real-time evaluation requirements of large-scale power systems.
Owner:CHINA THREE GORGES UNIV

Preferable method for extracting refined yellow pigment from red flowers

The invention provides a preferable method for extracting refined yellow pigment from red flowers, which adopts the technology integration of extracting and refining, resin adsorption, nano filtration separation, outer circulating vacuum reduced pressure concentration and spray drying. The method is as follows: performing particles removing, ashing and sterilization on primary filtrate by a filter; adsorbing resin with large aperture by alcohol, wherein the upper prop adsorbing flow is 1-4BV / h, the adsorbing time is 1.5-2.0 hours, the eluting flow is 2-6BV / h, and the eluting time is 2.5-3.0 hours; collecting eluent, wherein the PH values of upper prop liquid medicine and cleanout fluid are 2-5; depredating macromolecules by a microfiltration membrane, wherein the control pressure is 0.1-0.2MPa, the temperature is 5DEG C higher than the room temperature or 5 DEG C lower than the room temperature; thickening and dewatering by a nanofiltration membrane, wherein the control pressure is 1-4MPa, the temperature is 20-50 DEG C, and the concentration multiplying power is 5-10 times; recycling the alcohol; and drying a material the solid content of which is 40%-60% to obtain the product, wherein the feed temperature is 60-80 DEG C, the entering air temperature is 160-190 DEG C. By implementing the preferable method, the extraction ratio of the yellow pigment reaches more than 80%, and the color value also reaches more than 150.
Owner:新疆宏展特色农业科技开发有限公司

Process for preparing 7-ADCA by taking DAOC fermentation liquor as raw material

The invention relates to a method for separation and purification of DAOC and preparation of 7-ADCA. The method comprises the following steps: (1) pretreatment of DAOC fermentation liquor: firstly, adjusting the pH value of the fermentation liquor, and conducting filtering via a filter screen to remove insoluble large-particle impurities; (2) primary extraction of treatment liquor via two macroporous adsorption resin tandem columns; (3) decoloration treatment of desorption liquid via anion exchange resin; (4) conversion into 7-ADCA via one-step acylase lysis; (5) decolorization with activated carbon; and (6) pH value adjustment and crystallizing. According to the invention, the use amount of an organic solvent can be reduced, and environment protection is facilitated. According to the invention, the production of pollutants can be reduced in virtue of regeneration and recycling of the resin, the process is simple to operate, the disadvantages of conventionally used strong oxidant are changed, high safety is obtained, the extraction rate of the DAOC fermentation liquor is high and can achieve 95% or more, the total yield of a 7-ADCA product is 46-48%, the purity of the obtained 7-ADCA product is high and can achieve 99.5 or more, and the content of 7-ADCA can achieve 99% or more.
Owner:AMICOGEN CHINA BIOPHARM CO LTD

Desulfurization anddesorption system and use method

The invention relates to a desulfurization and desorption system and a use method. The desulfurization analysis system comprises a washing module, a desulfurization module and a desorption module. The washing module comprises a washing tower and a washing tank, the washing tower is communicated with the washing tank, and the washing tank is communicated with the washing tower through a washing circulating pump. The desulfurization module comprises a desulfurization tower and a rich liquor tank, the desulfurization tower comprises an upper alkali washing layer and a lower desulfurization layer, the desulfurization layer is communicated with the water scrubber, the desulfurization layer is communicated with the rich liquor tank through a rich liquor pump, the alkali washing layer is communicated with an alkali liquor tank, and the alkali liquor tank is communicated with the alkali washing layer through an alkali liquor pump. The desorption module comprises a desorption tower and a hot water reboiler, the rich liquor tank is communicated with the desorption tower through a desorption feeding pump, the desorption tower is communicated with the desulfurization layer through a barren liquor pump, and the hot water reboiler is arranged at the outer bottom end of the desorption tower and is communicated with the desorption tower through a pipeline. The desorption tower is communicated with a vacuum condensate tank through a vacuum pump module, and the vacuum condensate tank is communicated with the rich liquor tank through a vacuum condensate pump. The desulfurization effect is stable, the desulfurization efficiency is high, and the desorption effect is good.
Owner:SGIS SONGSHAN CO LTD

Domain name information processing method and device, computer equipment and computer storage medium

The invention can provide a domain name information processing method and device, computer equipment and a computer storage medium. The domain name information processing method comprises the steps: acquiring the port information exposed by a first container deployed on a first node, wherein the request information is sent to the first node based on the port information, and the request information can comprise instruction information and domain name information; calling a domain name system server for executing the instruction information, and processing the domain name information by utilizing the called domain name system server. On the premise that an existing cloud platform architecture is not damaged, domain names of equipment in a cloud platform such as a virtual machine or a load balancer of a tenant network can be managed, and operations such as adding or deleting or checking or creating a public network domain name and a private network domain name are included. According tothe invention, a private network domain name and a public network domain name in the cloud platform can be parsed, and domain name parsing service can be provided for computers outside the cloud platform accessed through the public network domain name; therefore, the method also has the advantages of good user experience and the like.
Owner:NEW H3C BIG DATA TECH CO LTD

Method for extracting refined yellow pigment from red flowers

The invention provides a preferable method for extracting refined yellow pigment from red flowers, which adopts the technology integration of extracting and refining, resin adsorption, nano filtration separation, outer circulating vacuum reduced pressure concentration and spray drying. The method is as follows: performing particles removing, ashing and sterilization on primary filtrate by a filter; adsorbing resin with large aperture by alcohol, wherein the upper prop adsorbing flow is 1-4BV / h, the adsorbing time is 1.5-2.0 hours, the eluting flow is 2-6BV / h, and the eluting time is 2.5-3.0 hours; collecting eluent, wherein the PH values of upper prop liquid medicine and cleanout fluid are 2-5; depredating macromolecules by a microfiltration membrane, wherein the control pressure is 0.1-0.2MPa, the temperature is 5DEG C higher than the room temperature or 5 DEG C lower than the room temperature; thickening and dewatering by a nanofiltration membrane, wherein the control pressure is 1-4MPa, the temperature is 20-50 DEG C, and the concentration multiplying power is 5-10 times; recycling the alcohol; and drying a material the solid content of which is 40%-60% to obtain the product, wherein the feed temperature is 60-80 DEG C, the entering air temperature is 160-190 DEG C. By implementing the preferable method, the extraction ratio of the yellow pigment reaches more than 80%, and the color value also reaches more than 150.
Owner:新疆宏展特色农业科技开发有限公司

Domain name information processing method and device, computer equipment, computer storage medium

The present invention can provide domain name information processing method and device, computer equipment, and computer storage medium. The domain name information processing method includes: obtaining port information exposed by the first container deployed on the first node, and sending request information to the first node based on the port information, the request information may include instruction information and domain name information; The domain name system server of the information uses the called domain name system server to process the domain name information. On the premise of not destroying the existing cloud platform architecture, the present invention can realize the management of the domain names of devices in the cloud platform such as virtual machines or load balancers in the tenant network, including adding or deleting or checking public network domain names and private network domain names or create operations. The present invention can not only resolve private network domain names and public network domain names in the cloud platform, but also provide domain name resolution services for computers outside the cloud platform accessed through public network domain names; therefore, the present invention also has the advantages of good user experience.
Owner:NEW H3C BIG DATA TECH CO LTD

Nitrogen production and adsorption tower with air volume more than 500 cubic meters and method for determining calibers of inlet and exhaust ports of nitrogen production and adsorption tower

The invention discloses a nitrogen production and adsorption tower with an air volume more than 500 cubic meters and a method for determining the calibers of inlet and exhaust ports of the nitrogen production and adsorption tower. The problem is solved that the structure of a conventional axial nitrogen production and adsorption tower cannot meet the requirements of not damaging a supporting flower board structure in the tower during pressure equalizing and regenerating an adsorbent during exhaust simultaneously. The method is changed that a compressed air inlet of a conventional adsorption tower is also taken as an exhaust port, so that the compressed air inlet is separated from the exhaust port, the caliber of the exhaust port is enlarged, the method is kept that the compressed air inletis also taken as an air inlet / outlet port of a pressure equalizing pipeline, the size of the exhaust port is determined according to the experience value that the adsorbent is regenerated well duringexhaust, and the caliber of the compressed air inlet is determined in the premise that the flower board supporting structure in the tower is not damaged by the pressure equalizing airflow. The resolution effect of the adsorbent is better, and the nitrogen production index of equipment is more ideal.
Owner:山西皆利气体科技有限公司 +2

A Modeling Method of Wind Power Forecasting Error Based on Meteorological Pattern Recognition

ActiveCN111008504BImprove analysis effectError Probability Density Model for Accurate Wind Power ForecastingForecastingCharacter and pattern recognitionDensity curveData set
The present invention relates to power grid wind power forecasting technology, in particular to a wind power forecasting error modeling method based on meteorological pattern recognition, including obtaining corresponding meteorological models by performing k-means clustering analysis on historical meteorological data, and according to each meteorological model Meteorological data characteristics, training support vector machine classifier, and using it to divide the historical wind power forecast error data into sub-datasets under each meteorological model, and statistically analyzing these sub-datasets to obtain corresponding probability density curves, and then based on the general The distribution model is obtained by least squares fitting to obtain the probability density model of wind power forecast error under each meteorological model, and the modeling of wind power forecast error is completed. This method takes into account the impact of meteorological factors on the accuracy of wind power forecasting, making the modeling results of wind power forecasting errors more accurate; the fitting effect of the general distribution model is better, and the analytical performance of the expression is better; it provides accurate wind power forecasting errors Probability Density Model.
Owner:WUHAN UNIV +1
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