4results about How to "Retain original features" patented technology

The invention provides a preparation method of a spherical padding for sintering a resistor disc of a lightning arrester, and belongs to the technical field of manufacturing of lightning arresters. The method comprises the following steps: firstly, preparing slurry by taking granulation waste as a raw material, and then preparing the spherical padding by virtue of a breakthrough titration forming process for the first time, so that the forming precision is high, the spherical quality is excellent, the use performance of the padding can be directly improved, the material structure is stable, the performance loss is low, and the original characteristics of the waste can be reserved to the greatest extent; the damage to the material performance in the preparation process is reduced. In addition, the preparation method provided by the invention is simple, the process is mature, and the use amount of additives is small, so that the production cost can be effectively reduced, and the economic value is relatively high.

This invention discloses a nuclear magnetic resonance (NMR) method for measuring the solid phase deposition of crude oil in porous media, belonging to the field of oil and gas reservoir development technology. By using a single saturation of crude oil in a core sample and leveraging the characteristics of online NMR technology, the method employs a comparison of experimental and NMR measurements, along with a 1:1 standard line reference, to determine the standard echo interval T in the transverse relaxation time T2 measurement acquisition parameters. E This method directly measures the amount of solid phase deposition in pore fluids in situ, solving the technical problems of existing technologies that cannot maintain the original characteristics of the sample, effectively avoid the interference of solid skeleton response and solid phase deposition particles, and are difficult to measure the solid phase deposition content of active oil in situ. It achieves the technical effect of rapid, efficient and accurate measurement of the amount of crude oil solid phase precipitation in cores under specific temperature and pressure conditions. The method is reliable in principle, simple to operate and highly applicable, and the test results are accurate and reliable, making it more suitable for the fine characterization needs of complex oil and gas reservoirs.

The present invention belongs to the field of medical image segmentation, and provides a retinal vascular image segmentation method and system based on differential attention. The method includes obtaining a retinal vascular image; obtaining a retinal fundus vascular image segmentation result based on the retinal vascular image and a differential attention multi-scale residual network; wherein the differential attention multi-scale residual network includes a multi-scale input module, an encoder module, a differential amplification module and a decoder module; the multi-scale input module is used to extract multi-scale information of the retinal vascular image; the encoder module is used to encode the multi-scale information; the differential amplification module is used to extract low-frequency information and high-frequency information of the encoded multi-scale information, and then extract the features of the low-frequency information and the high-frequency information respectively; the attention mechanism is introduced in the decoder module to enhance the attention of the required attention area while suppressing irrelevant areas, and finally restore the extracted low-frequency and high-frequency features to the original resolution.

This invention belongs to the field of data processing technology, specifically relating to a storage medium, a method and system for preprocessing photovoltaic (PV) power generation data. The method acquires normal historical data sample values ​​of each power generation device under different operating conditions in a PV power plant based on historical PV power generation data; it detects the defect type of the current PV power generation data; if the defect type is a sudden value, it determines a data transformation model by combining historical data sample values ​​of the same power generation device under the same operating conditions; and adjusts the data scale of the sudden value based on the data transformation model to reduce the impact of the sudden value. Ultimately, while preserving the original characteristics of the data, it significantly improves the data quality.