37results about How to "Easy data" patented technology

Map data includes, for each of multiple links used for representing a road in a map, a link record and a speed limit record for a certain link. The link records and the speed limit records of the multiple links for representing a road are collected to form separate data lists of respective attribute types, that is, a link record data list and a speed limit record data list, instead of collecting records by a unit of each link. The map data structured as separate attribute data lists of respective attribute data types for links in the map data, for example, establishes inter-attribute data association between different attribute data types for the certain link based on the arrangement orders of the respective attribute data types in the data list indicative of the same arrangement order of the multiple links.

The invention relates to a method of transfer learning from a long text to a short text. The method of the transfer learning from the long text to the short text is characterized by comprising step 1, obtaining data of a source domain according to tags extracted from a short text of an target domain, and extracting a seed feature set of the source domain; step 2, creating an undirected graph of social media according to a tag set of the short text of the target domain and the seed feature set of the source domain, and extracting subgraphs containing all the nodes of the tag set and the seed feature set of the target domain from the undirected graph; step 3, obtaining a new feature representation of the data of the source domain on the basis of a Laplacian Eigenmap algorithm; step 4, classifying the data of the source domain according to the new feature representation of the data of the source domain.

The invention provides a piedmont region sedimentary facies belt distribution scope prediction method. The method comprises steps that according to a field outcrop section identification sedimentary facies type of a research region, measurement points are selected, and a distance between each measurement point and an object source is measured; actual thickness of each rock stratum of a stratum corresponding to each measurement point and actual thickness of the stratum corresponding to the measurement point are calculated; according to the acquired thickness of the stratum corresponding to each measurement point and actual thickness of each sandy conglomerate stratum of the stratum, and a sand-to-stratum ratio of each measurement point is calculated; according to the distance between each measurement point and the object source and the sand-to-stratum ratio data corresponding to the measurement points, the function relationship between the sand-to-stratum ratio and the distances away from the object source is established; according to the function relationship between a sand-to-stratum ratio and the distance away from the object source of to-be-predicted sedimentary facies, a sedimentary facies belt distribution scope is predicted. The method is advantaged in that based on field outcrop sand-to-stratum ratio analysis, an extension distance of the piedmont region sedimentary facies belt can be accurately determined, and the sedimentary facies belt distribution scope can be accurately predicted.

The invention discloses a CO2 corrosion prediction plate establishing method considering multiple factors, and belongs to the technical field of oil and gas field corrosion protection. The method comprises the following steps: firstly, carrying out corrosion weightlessness test on steel by adopting a high-temperature and high-pressure kettle at different temperatures, CO2 partial pressures and chloride ion concentrations to obtain a corrosion rate measured value; then establishing a function relational expression and a relation curve graph of the corrosion rate, the temperature, the CO2 partial pressure and the chloride ion concentration by utilizing a nonlinear fitting method; and finally, drawing a CO2 corrosion prediction plate by integrating the obtained corrosion rate measured value,the function relational expression and the relation curve graph. The method considers the influence of various factors on CO2 corrosion, has high prediction precision and practicability, provides a reference basis for preventing corrosion failure of oil field metal facilities, and provides a technical guarantee for safe use of materials.

The invention discloses a screening and handling method for climate indexes. The screening and handling method comprises the steps that climate monitoring indexes in a cigarette raw material producing area are used as the basis, factors and correlation analysis are applied to determine a characteristic index of a climate evaluation factor, probability distribution and standard deviation method weight coefficients are adopted to obtain the evaluation standard for the characteristic index, K-means clustering and multi-accumulating stepwise discriminant analysis are used for building a discrimination function and inspecting accuracy of the discrimination function, finally, a base unit climate index comprehensive classification result is determined, and the cigarette industrial raw material base layout is optimized according to the result. According to the screening and handling method for the climate indexes, the climate indexes capable of accurately analyzing and evaluating the cigarette raw material base are screened out more systematically and more comprehensively from the climate indexes of a plurality of base units, the lateral linkage of the climate indexes is built, and redundant information among the climate evaluation indexes is avoided. The invention further provides an evaluation method for the cigarette raw material base, and the decision-making basis and theoretical supports can be effectively and rapidly provided for optimization of the cigarette industrial enterprise base unit layout.

The invention belongs to the technical field of blast furnace ironmaking, and discloses a blending effect computing method applicable to the blending operation of iron ore powder. The blending effect computing method comprises the following steps: 1, finding iron ore content P(A) in blended material by mathematically modeling the blending operation process of the iron ore powder; 2, determining that probability of iron ore discrete type random variable X valuing around E(X) is more than or equal to Po; 3, finding the percent of pass P of continuous type random variable normal distribution of the testing ingredient in the blended material; 4, obtaining a blending efficiency computational formula applied to managing the blending operation by setting [eta] to be equal to P/Po, wherein, when [eta] is equal to 1, the blending effect is the best, when [eta] is more than 1, the more the [eta], the better the blending effect is, and when [eta] is less than 1, the less the [eta], the poor the blending effect is. According to the blending effect computing method, influence factors to the production of blending stock piles in a stock ground are comprehensively taken into consideration, thus being more accurately accordant with actual situation of the blending effect of the modern stock ground blending operation.

The invention discloses a method for determining the opening sequence and the opening efficiency of perforation clusters of fractured intervals. The method includes the following steps that friction drag of all the perforation clusters of the fractured intervals is calculated, wherein shaft along-way friction drag, hole friction drag and near-well bending friction drag in the fracturing construction process are calculated; system hydro-power balance mathematical modeling is carried out, wherein under actual scene displacement conditions, hydro-power pressure distribution along a shaft into a seam is acquired with a cluster friction drag calculation method, the mutual coupling effect of flow and pressure of all the clusters is considered according to construction total displacement conservation, and whether all the perforation clusters can be effectively opened or not and the opening sequence of the perforation clusters are judged according to the system friction drag and intra-seam pressure balance relationship; and the opening sequence and the opening efficiency of the perforation clusters are judged and explained, wherein a system hydro-power balance mathematical model is used for judging the opening sequence and the opening efficiency of the perforation clusters. The opening sequence and the opening efficiency of all cluster cracks under the reservoir stress heterogeneous condition can be effectively judged.

The invention relates to a preparation device of graphene hydrogel, which can effectively monitor the preparation condition of the graphene hydrogel in the preparation process, and belongs to the field of carbon material preparation. The preparation device consists of a stainless steel kettle body, a data monitoring system and a heating plate. The stainless steel kettle body is composed of an exhaust valve, a quick-opening clamp, a support, a kettle body upper seal, a sealing ring, high-pressure glass, a sealing assembly, a high-pressure glass pressing plate and a kettle body lower seal. The data monitoring system is composed of a pressure sensor, a temperature sensor 1 and a temperature sensor 2. And the two heating plates are detachably and symmetrically mounted on the two sides of the stainless steel kettle body. A graphene oxide solution serves as a precursor to be placed in a stainless steel kettle body, graphene hydrogel is formed in the kettle body through self-assembly under the high-temperature and high-pressure conditions generated by a heating plate, data are read through a pressure sensor and a temperature sensor 1 in the preparation process, and form changes are observed through high-pressure glass.

The invention discloses a method for calculating mixing efficiency in iron ore powder mixing work by actually measured standard deviation of mixing material pile, comprising: (1), carrying mathematical simulation to in iron ore powder mixing work procedure, solving the content P(A) of the iron ore in the mixing material; (2), determining the distribution of the iron ore powder discrete type random variable X, and the expectation and variance of the X; (3), solving the standard deviation rhoa of the mixing material pile after iron ore powder mixing work; (4), solving the standard deviation of the random variable X; (5), obtaining the calculation formula for using the actually measured standard deviation of mixing material pile to calculate the iron ore powder mixing work efficiency. The iron ore powder mixing work efficiency calculated by the invention can reflect the production actuality of the mixing work procedure and simultaneously is convenient in production management of the mixing work.