11results about How to "Optimal implementation method" patented technology

The invention relates to a mechanical property prediction method for a woven composite material structure, and the method comprises the steps: obtaining a microscopic CT image of the woven composite material structure; carrying out image preprocessing on the CT image; segmenting a fiber bundle in the preprocessed image to obtain a segmented fiber bundle image; extracting a fiber bundle trend center line from the segmented fiber bundle image; establishing a macroscopic geometric model of the woven composite material structure, and performing unit grid division on the geometric model; establishing a relation between a fiber bundle trend center line and a geometric model unit; calculating mechanical property parameters of each unit one by one; and calculating the macromechanical response of the composite material structure. According to the method for predicting the mechanical property of the woven composite material structure, the grid division independent of the microstructure characteristics is adopted, so that the modeling efficiency can be improved, the modeling difficulty can be reduced, and the method is easy to implement.

The invention relates to the technical field of train positioning and speed measurement, in particular to a train positioning and speed measurement system and method and electronic equipment, and the system comprises an image collection device which is used for collecting image information of a positioning plate located beside a train line; the laser radar is used for collecting point cloud information reflected by the positioning plate in a laser irradiation mode; the control device is used for controlling the image acquisition device and the laser radar to acquire image information and point cloud information of the positioning plate according to a preset working mode, determining a positioning plate bounding box according to the image information of the positioning plate and identifying position information or serial number information in the positioning plate bounding box; and determining the position and / or speed information of the train according to the positioning plate bounding box, the position information or the serial number information in the positioning plate bounding box and the point cloud information. According to the invention, train speed measurement is realized while positioning is carried out, a redundant backup scheme for positioning and speed measurement is provided for the train, and the running safety of the train is improved.

The invention provides a preparation method of an yttrium fluoride film, which comprises the following steps: S1) placing a substrate in an atomic layer deposition device, introducing a precursor containing yttrium and fluorine at the same time, and forming a film layer on the surface of the substrate after reaction; the film layer is subjected to purging; and S2) introducing an oxygen source into the atomic layer deposition device to react with the film layer, and purging again to obtain the yttrium fluoride film. According to different reactant precursors, the invention further provides a preparation method of the yttrium fluoride film. The invention further provides application of the yttrium fluoride thin film. According to the preparation method of the yttrium fluoride thin film, an atomic layer deposition method is utilized to alternately introduce a metal organic source and an oxygen source into a reaction chamber, and a film is formed through a self-limiting reaction. The prepared yttrium fluoride film is uniform and compact, no toxic gas is introduced, and the yttrium fluoride film has high safety.

The invention discloses a continuous small sample picture classification method based on cross-modal alignment and prototype diversification, and the method comprises the steps: firstly adding a visual soft prompt to an input picture to extract picture features, and inputting the picture features into a feature adapter to obtain optimized picture features; meanwhile, text soft prompts are added to the category labels, and a preliminary category text prototype is extracted; secondly, the optimized picture features are input into a prototype bias device, and a category text prototype is adjusted, so that the category text prototype fused with visual information is obtained; and finally, calculating the similarity between the category text prototype and the picture features, and predicting the input picture as the category with the maximum similarity. According to the method, the input specific visual information can be captured to correct the text prototype, so that the classification precision of the input picture can be improved; the implementation method is simple, convenient and flexible, the prediction precision of the new category is remarkably improved, and meanwhile the disastrous forgetting phenomenon of the model in the old category can be effectively relieved.

The invention discloses a device for measuring the gas adsorption capacity of a coal sample through a constant-pressure volumetric method. The device comprises a coal sample tank, a vacuum degassing assembly, a methane supply assembly, a liquid seal pressure transmitting assembly and an air pressure stabilizing assembly, the methane supply assembly comprises a methane steel cylinder, a gas supply pipeline, a pressure reducing valve and an inflation control valve; the methane steel cylinder is communicated with the coal sample tank, and an inflation valve is arranged between the methane steel cylinder and the coal sample tank; the liquid seal pressure transmitting assembly comprises a methane constant-pressure container and an air constant-pressure container, the methane constant-pressure container is communicated with the air constant-pressure container through a communicating pipe, a communicating isolating valve is arranged on the communicating pipe, the methane constant-pressure container is communicated with the coal sample tank, and the methane constant-pressure container is provided with a displacement sensor. The invention also discloses a determination method using the device. The device is reasonable in structure, stepless and adjustable in given pressure and easy to realize. The determination method provided by the invention overcomes the problems of poor accuracy and poor reliability in the prior art.

The invention relates to the technical field of computers, in particular to a video playing component implementation method and system, electronic equipment and a storage medium, and the method comprises the steps: constructing a development environment of a video playing component of a Vue framework; and based on the development environment, integrating a target plug-in for video sliding carousel into an original video playing component to obtain a Vue video playing component for carousel sliding. According to the invention, a cross-platform unified video playing component is constructed through a Vue framework, and a video sliding carousel plug-in is integrated, so that flexible display of video content can be realized, user experience is improved, a user can enjoy consistent operation interfaces and visual styles on different platforms, and user experience is improved. And more efficient and convenient technical support is provided for spreading of video contents on an internet platform.

The invention relates to the technical field of commodity production and marketing management, and discloses a multi-platform-based marketing and production data return system, which comprises a data acquisition module, a data processing module, a profit and loss analysis module and a data return module. According to the marketing and production data return system based on multiple platforms, the data acquisition module acquires the sales information generated by multiple sales platforms, and the data processing module processes the acquired sales information to obtain the commodity sales data in a unified format. The profit and loss analysis module obtains the corresponding profit and loss data based on the production profit and loss model and the input commodity sales data, and finally, the operation background determines the corresponding production plan based on the actual production environment, the system architecture is simple, the implementation method is convenient, and the profit and loss data is obtained through the reliable commodity sales data, so that the implementation efficiency is improved. The finally obtained profit and loss data is a result matched with an actual sales condition, and an accurate and reliable data basis is provided for a subsequent commodity production plan.

A DSP on-orbit reconfiguration and configuration loading method and system, the steps are as follows: the control circuit receives the data to be reconfigured and carries out analysis processing; the data to be reconfigured after analysis processing is written into the program data storage area of the continuous address of Flash in sequence according to the programming timing requirement of FLASH; the control circuit carries out logical reset to the reconfigured loading DSP; after reset is completed, the reconfigured loading DSP device sends the continuous data address to the on-orbit reconfiguration and loading control circuit in sequence; the on-orbit reconfiguration and loading control circuit carries out address decoding to the received data address, and maps out the program data storage area address in the corresponding Flash, reads the program data from the corresponding program data storage area of the Flash in sequence, and places the continuous address data on the configuration interface according to the configuration interface timing requirement of the reconfigured loading DSP, until all the continuous address data required by the reconfigured loading DSP is read completely, and the loading is successful.

According to the MOSFET thermal protection method based on current and time integration, a group of current and time relations are obtained in an offline calibration mode; the working time of different segments can be realized by setting a plurality of counters, each counter is respectively mapped to different current intervals, the formula of the counter is J = summa 0Pdt = summa 0I2Rdt, and the counter is used as table look-up input to obtain a target sustainable working current; comparing the obtained target current with an actual working phase current, and if the actual current is greater than a sustainable working current value, progressively decreasing the torque according to a preset gradient until the torque is 0; if the actual current is smaller than the sustainable working current value, the torque is progressively increased according to the preset gradient until the torque is equal to the torque instruction. The method is simple and convenient to implement, avoids complex operation, reduces the load rate of the MCU execution cycle, does not need simulation, is completely completed through rack calibration data, is high in estimation precision, and effectively prevents the MOSFET from being damaged.

The invention discloses a financial text data classification method and device based on a pre-training model, and is applied to the technical field of data classification. According to the method, firstly, financial text data are preprocessed, data containing classification identifiers are constructed, and the number of the classification identifiers is not less than one; then, a data classification model based on a pre-training model BERT is constructed, and the model is trained by utilizing the preprocessed training data through a sub-network fine tuning method; and finally, classifying the financial text data to be classified by utilizing the trained data classification model. By optimizing the fine tuning algorithm, the financial text data classification efficiency is improved, the precision of the training model is enhanced, the accuracy of the classification result is ensured, and the accuracy requirement in practical application can be met.

The invention relates to the technical field of noise reduction for shock absorbers, in particular to a low-noise electromagnetic shock absorber and a noise reduction method. The low-noise electromagnetic shock absorber comprises a push rod, a ball screw nut and a ball screw, the ball screw nut and the ball screw are in threaded engagement, the low-noise electromagnetic shock absorber further comprises a noise reduction cylindrical shell, a center hole is formed in the center of the noise reduction cylindrical shell, and the end, fixedly connected with the ball screw nut, of the push rod is arranged in the center hole in a sliding mode; the noise reduction column shell comprises an inner noise reduction column shell body and an outer noise reduction column shell body, a plurality of counter bores are formed in the outer wall face of the inner noise reduction column shell body and communicated with the center hole through round through holes, grooves corresponding to the counter bores are formed in the inner wall face of the outer noise reduction column shell body, and the grooves and the counter bores form a cavity. And an elastic film layer is arranged between the inner noise reduction cylindrical shell and the outer noise reduction cylindrical shell. Noise can be reduced through the local resonance effect, so that the effects of noise elimination and noise reduction are achieved.