8results about How to "Realize batch" patented technology

The application discloses an electromagnetic reaming device and method for pipe material, and belongs to the technical field of pipe material reaming. The electromagnetic reaming device for pipe material comprises a clamping forming part, a mold cavity is arranged in the clamping forming part, one end of a small-diameter mold cavity is attached to the outer wall of pipe material to be reamed, and the other end of the large-diameter mold cavity is equal to the target reaming outer diameter of the pipe material; a solenoid coil is used to generate a pulse magnetic field when inputting a pulse current, so as to induce an induced current on the pipe material to generate an electromagnetic force for driving pipe reaming; the coil packaging part comprises an epoxy resin sealing shell and a rubber sleeve, and the coil positioning part is used to limit the epoxy resin sealing shell, so that the epoxy resin sealing shell is coaxial with the pipe material to be reamed and the movement of the epoxy resin sealing shell along the radial direction is limited; and a pulse discharge module is used to provide a pulse current for the solenoid coil. The electromagnetic reaming device for pipe material avoids the problems of too low surface precision or even damage caused by the direct contact between the surface of the reaming section and the punch.

This invention discloses EST-SSR molecular markers for *Paphiopedilum florida* and *Paphiopedilum simonii*, along with their usage and applications. The nucleotide sequences of the corresponding primer sets are shown in SEQ ID NO:2-3, SEQ ID NO:5-6, SEQ ID NO:8-9, SEQ ID NO:11-12, SEQ ID NO:14-15, and SEQ ID NO:16-65. The primer sets in this invention can be widely used for typing and identifying any *Paphiopedilum* species, overcoming the shortcomings of poor primer universality in existing technologies, and achieving batch and rapid typing of *Paphiopedilum* species.

The application relates to the technical field of charging piles, and particularly discloses a battery health degree evaluation method and a life prediction method based on an Internet of Things charging pile, wherein the evaluation method comprises the following steps: obtaining a local electric parameter change curve generated when a charging pile charges a battery; generating a charging power curve graph according to the local electric parameter change curve by using a pre-constructed charging curve model; calculating the current total capacity of the battery according to the charging power curve graph; and evaluating the battery health degree according to the current total capacity and the standard total capacity of the battery. The evaluation method is based on the local electric parameter change curve, the charging power curve graph representing the entire complete charging process of the battery is obtained by combining the charging curve model, and the current total capacity of the battery is calculated based on the charging power curve graph, so that the evaluation of the battery health degree of an electric vehicle is realized, and the evaluation method can be applied to a charging pile service platform to realize the batch, global and remote evaluation of the battery health degree of the electric vehicle.

The application discloses a kind of based on whole genome efficient prediction cassava tuber amylopectin content method, belong to plant molecular breeding technical field.The method includes the following steps: obtaining the whole genome SNP data of the measured cassava sample;The whole genome SNP data is substituted into prediction model, and the tuber amylopectin content of the measured cassava is predicted.The application establishes high-precision prediction model by integrating whole genome SNP marker data and machine learning algorithm, can accurately predict the tuber amylopectin content in cassava seedling stage, breaks through the technical bottleneck that must wait for cassava to determine in traditional breeding maturity, significantly shorten breeding cycle, reduce breeding cost, improve screening efficiency, provides efficient technical platform for cassava high amylopectin variety breeding.

The application discloses a kind of layout component key information extraction method and terminal, belong to compound semiconductor layout design and manufacturing technical field, including the following steps: chip feature box information is obtained to the layout is identified and cut groove process layer;Chip size information and position information are obtained according to chip feature box information;Chip is classified and handled according to chip size information;The component key information of each kind of chip is obtained, including feature graphic information and coordinate point information.The application obtains chip feature box information, chip size information and position information in turn, and classified and handles chip, and then obtains the component key information contained in each kind of chip, i.e. Information such as component type, size and position distribution, to realize the efficient processing of layout component information, which can provide information reference and guidance for process optimization.

The application discloses a kind of based on SAM model and automatic prompt generation's film mulching farmland remote sensing unsupervised segmentation method, comprising the following steps: remote sensing image acquisition and pretreatment, optimal three-band combination construction and color gamut normalization, automatic prompt point generation based on brightness and gradient fusion, independent region unsupervised segmentation based on SAM model, post-processing and result output;The application realizes the full-automatic, zero manual intervention of film mulching farmland segmentation by the automatic prompt point generation strategy of brightness and gradient fusion, greatly reduces the labor cost, and improves the cross-region generalization ability of the method.Compared with the traditional pixel-level classification method, the film mulching plot generated by the application is free of holes, the boundary is clear and smooth, and there is no salt and pepper noise, and the region-independent segmentation mechanism avoids plot sticking, and spatial consistency is significantly improved.