10results about How to "Efficient transformation" patented technology

The invention discloses an intermediate representation generation method and device based on a domestic modeling language X language. The method comprises the steps that X language code information is acquired; preprocessing the X language code information to obtain X language information; the X language information comprises N rows of code information; n is a positive integer; and processing the X language information to obtain X language intermediate representation information. Therefore, according to the method, the domestic modeling language X language can be quickly and efficiently converted into the intermediate representation capable of being explained by the program, and the method is an important step for converting the X language model into the executable program and an important link for engineering of the X language.

The invention discloses an online acid fracturing method for a carbonate reservoir, which comprises the following steps: based on the characteristics of a target reservoir and an acid fracturing transformation scheme, obtaining the average temperature and acid etching fracture parameters of acid liquids with different viscosities and different concentrations in a fracture in an acid fracturing process, and determining the acid liquid concentration and the viscosity range which meet the requirements; preparing acid liquids with different densifier concentrations, carrying out an indoor rheological experiment according to the average temperature of the cracks, obtaining the viscosities of the acid liquids with different densifier concentrations at different temperatures, and determining the densifier concentrations meeting different viscosity requirements of the acid liquids; calculating the discharge capacity of industrial raw acid, the discharge capacity of clear water, the discharge capacity of a thickening agent and the discharge capacity of other additives corresponding to the pump-injected acid liquids with different concentrations and different viscosities; and on-line acid fracturing construction ground equipment is arranged, acid fracturing construction is conducted, displacement is dynamically adjusted, and on-line acid fracturing is achieved. According to the method, the concentration, viscosity and dosage of the acid liquid in acid fracturing construction can be regulated and controlled in real time, so that safer, more efficient and controllable yield-increasing transformation of the carbonate reservoir is realized.

The invention provides a method for identifying a horizontal section coal body structure of a coal bed gas horizontal well. The method comprises the following steps: predicting a plane distribution rule of a coal body structure of a deployed well area; establishing a corresponding relation between different coal body structures of the well area and well logging parameters, a tectonic curvature value and an indoor rock core observation result, and determining a longitudinal development position; constructing a three-dimensional distribution model of the well area coal body structure by using software; preferably selecting a primary structure coal development area for well position deployment; guiding and controlling drilling in a high-quality and primary structure coal development layer; performing coal body structure evaluation on sidetrack drilling points, collapse points, well leakage points and fault points after well completion; performing coal body structure evaluation by using the logging rock debris; and fine coal body structure identification is carried out in combination with borehole track space distribution characteristics. According to the method, a coal body structure in a deployment area is subjected to plane and longitudinal prediction before well drilling, spatial distribution is performed according to an actual well track after drilling is completed, and accurate coal body structure recognition is performed by comprehensively utilizing well drilling, logging rock debris and logging while drilling information.

This invention discloses a method for constructing and analyzing a genome-scale metabolic network model of *Paragonimus denitrifyingus*, belonging to the field of systems biology. The method includes: whole-genome annotation; obtaining global metabolic response data of *Paragonimus denitrifyingus*; automatically retrieving genomic information and constructing Model 1 based on the species code and genome annotation results of *Paragonimus denitrifyingus* in the KEGG database; constructing Model 2 by identifying homologous proteins in the *Paragonimus denitrifyingus* genome through homology searching of proteins in the target organism based on a pre-trained Hidden Markov Model; and integrating Model 1 and Model 2. This invention allows for the efficient design and modification of denitrification engineering, achieving precise control of nitrogen degradation processes. Compared to existing metabolic engineering methods, this invention effectively reduces the workload of exploratory experiments and greatly advances a deeper understanding of the nitrogen degradation characteristics of *Paragonimus denitrifyingus*.

The invention discloses a riverway water level and water quality integrated monitoring buoy system based on the Internet of Things, and relates to the technical field of riverway monitoring. Comprising the steps that a high-strength corrosion-resistant composite material is adopted, and a sealed cabin body and a buoyancy adjusting unit are arranged; a pressure sensor, a GPS positioning unit and a temperature compensation module are integrated, and the real-time riverway water level is calculated; a multispectral sensor, a water surface color acquisition unit and a cleaning unit are carried, and core water quality parameters are acquired; a camera and an infrared light supplementing unit are arranged, and an image is processed through an anti-interference algorithm; features are extracted based on deep learning, and static objects and dynamic pollutants are distinguished; dual-mode communication is adopted, and various monitoring data are transmitted; the cloud data processing module receives, fuses, analyzes and stores the data; a threshold value is preset, and early warning information is sent through multiple channels. Through multi-module collaborative optimization, monitoring data accuracy and environmental adaptability are improved, light shadow and water wave interference is effectively resisted, and accurate pollutant identification and water quality and blocking risk prediction and early warning are achieved.

This invention discloses a method for the direct oxidative carbonylation of methane to prepare acetic acid. Specifically, this invention provides a catalytic method for the preparation of acetic acid from methane, comprising the following steps: under solvent conditions, in the presence of light, an iron catalyst, chloride ions, and an oxidant, methane and carbon monoxide undergo a methane oxidative carbonylation reaction to obtain acetic acid. This method utilizes readily available methane, carbon monoxide, and air (or oxygen), employs an iron catalyst, and achieves direct, efficient, and highly selective acetic acid production via a one-step photocatalytic reaction, demonstrating promising application prospects. The substrate scope of this invention is broad, applicable to a range of chain and cyclic alkanes.

The invention discloses a construction and analysis method of a paracoccus denitrificans genome scale metabolic network model, and belongs to the technical field of system biology. The method comprises the following steps: annotating a whole genome; acquiring global metabolic reaction data of paracoccus denitrificans; the method comprises the following steps: automatically retrieving genome information and constructing a model 1 on the basis of species codes and genome annotation results of paracoccus denitrificans in a KEGG database; on the basis of a pre-trained hidden Markov model, homology search is carried out on protein of a target organism, homologous protein in a paracoccus denitrificans genome is identified, additional metabolic reaction is added, and a model 2 is constructed; and integrating the model 1 and the model 2. According to the method, denitrification engineering can be efficiently designed and modified, accurate regulation and control of the nitrogen degradation process are achieved, compared with an existing metabolic engineering modification method, the workload of an exploration experiment can be effectively reduced, and the method has a great promotion effect on deepening the nitrogen degradation characteristic of paracoccus denitrificans.

The application discloses a kind of mesoporous silicon carbon composite materials with multistage structure and preparation method and application, belong to silicon carbon negative electrode material synthesis technical field.The preparation method of the mesoporous silicon carbon composite materials with multistage structure includes the following steps: after mixing silicon powder and persulfate solution, oxidation treatment is carried out, then the obtained product is dispersed in oleic acid and surface modified, to obtain silicon@oleic acid dispersion liquid;Carbon source, citric acid, surfactant and initiator are pre-assembled in water, then the silicon@oleic acid dispersion liquid is added to carry out polymerization reaction, to obtain silicon@oleic acid@polymer precursor;Under inert atmosphere, the silicon@oleic acid@polymer precursor is carbonized, to obtain the mesoporous silicon carbon composite material with multistage structure.The material as lithium ion battery negative material can significantly improve the rate performance and cycle stability of lithium ion battery.

The present application provides a table image recognition method, device, equipment and medium, comprising: performing table line pixel marking on a to-be-recognized table image to obtain a semantic segmentation binary image; sequentially performing image correction, table line extraction and table line position determination on the semantic segmentation binary image to determine the position coordinates of the table line; determining the start and end row and column of a cell based on the position coordinates of the table line; performing single-character position segmentation on the to-be-recognized table image to determine character position information, which represents the position information of each character; and based on the start and end row and column and the character position information, aggregating the cells and the corresponding text content to generate a table file. The present application is used to solve the defect that the table detection and positioning are not accurate enough in the prior art, and to improve the accuracy of table detection and positioning.

The application discloses a kind of compound soil improver suitable for Keerqin sandy land, preparation method and application, by mass fraction, raw material includes water-retention slow-release component 10 parts, microbial immobilization capsule 10~15 parts and soil nutrient component 20~25 parts;The water-retention slow-release component includes the mass ratio of 1∶(30~50)∶(0.5~1) polymeric amino acid-humic acid compound, modified diatomite and biochar;The microbial immobilization capsule uses drought-resistant bacteria, plant rhizosphere growth-promoting bacteria and modified diatomite as core layer, uses sodium alginate as shell layer;The soil nutrient component is prepared by grassland plant straw and cow dung fermentation;The application uses "deficit irrigation+soil organic improvement" synergistic to soil water and fertilizer supply, proves its comprehensive promotion effect to oat and alfalfa yield, quality, water use efficiency and soil carbon sink, to optimize water and fertilizer management, comprehensively promote grassland water-saving, carbon-increasing and high yield level, promote the sustainable development of Keerqin sandy land agriculture.