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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 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.