9results about How to "Shorten acquisition cycle" patented technology

The invention provides a method for generating performance degradation data of a train air braking system. The method comprises the following steps: on the basis of a brake system of a preset model, analyzing three stages of pressure rise, maximum pressure and pressure stability of pressure change of a brake cylinder, and extracting a plurality of typical fault modes; based on an extended random process model with non-monotonicity and independent incremental property, three stages of pressure change of a brake cylinder and multiple typical fault modes are combined, and linear, nonlinear or stepped performance degradation process modeling of the train air brake system is carried out; overlapping normal distribution random noise on a performance degradation track generated by modeling, simulating a control precision error of an actual braking system, and optimizing a performance degradation process model of the train air braking system; and utilizing the train air braking system performance degradation process model to generate train air braking system performance degradation data in batches.

This invention discloses a low-altitude unmanned geochemical integrated geological exploration system and method. The system includes a geochemical exploration data processing unit, an in-situ geochemical robot, an unmanned aerial vehicle (UAV) geochemical sampling robot, and an UAV storage and flight control mobile operation unit. The method involves acquiring data on the exploration area and formulating a geochemical survey plan based on the data; the in-situ geochemical robot performs preliminary screening of geochemical data collection in the target area according to the survey plan and transmits the data to the geochemical exploration data processing unit; the geochemical exploration data processing unit processes and analyzes the preliminary screening data, delineates anomaly areas, and formulates a detailed geochemical survey design; the UAV geochemical sampling robot flies to the anomaly area and performs sampling and detection according to the detailed survey plan; the geochemical exploration data processing unit processes and analyzes all the geochemical data to obtain mineral-induced anomalies in the exploration area. This invention solves the problems of high reliance on manpower, high risk, low efficiency, high cost, and sparse geochemical data in traditional geochemical exploration.

The embodiment of the invention provides a method and a device for predicting a catalytic cracking activity value, a system for balancing catalytic cracking and a storage medium, and the method comprises the following steps: obtaining process parameters of catalytic cracking equipment to be tested, and preprocessing the process parameters to obtain variable parameters and characteristic parameters, the characteristic parameters comprise the unit addition amount of a catalyst, the molecular ratio of isobutene and the main air volume for unit feeding; and substituting the variable parameters and the characteristic parameters into a prediction model to obtain a predicted activity value of the catalytic cracking equipment to be tested. The method improves the prediction precision of the activity of the catalytic cracking agent.

The invention relates to the technical field of gas delivery management and intelligent monitoring, in particular to a gas delivery management system based on ultrasonic intelligent monitoring. Multi-source parameters are periodically acquired through a monitoring unit based on a multi-source sensor at a key node; the multi-source parameters are transmitted through the data transmission unit, and meanwhile, the edge calculation unit identifies the preprocessed abnormal parameters based on a preset multi-dimensional abnormal judgment threshold value and analyzes the abnormal parameters to determine an analysis result; then, abnormal event judgment is carried out on the abnormal parameters and the analysis result through a cloud management unit based on a periodically-trained multi-dimensional data analysis model, and decision suggestions are generated; and finally, determining a gas delivery management state based on the ultrasonic propagation speed deviation rate through an analysis unit, adjusting a training period of the multi-dimensional data analysis model according to the gas delivery management state, and further adjusting a multi-dimensional anomaly judgment threshold based on the adjusted management state. The gas conveying management efficiency is improved.

The application discloses a kind of Vibration Mountain beard toad hind leg / toe tissue cells and its quick acquisition method and application.The method comprises: the body surface disinfection of Vibration Mountain beard individual, cut and take hind leg or toe tissue, and put back after wound disinfection;After tissue is soaked in 75% alcohol and washed with PBS containing penicillin, streptomycin and amphotericin B, it is temporarily stored in 4 ℃ temporary storage solution;After tissue is cut, it is sequentially digested with trypsin and type I collagenase;In the optimized low permeability medium, primary culture is carried out at 25-27 ℃;When cell confluence reaches 60%-70%, it is passaged using trypsin-EDTA digestion;Freezing and recovery.The application realizes the non-lethal cell of Vibration Mountain beard for the first time Quick acquisition, cell first time migration time is only 3 days, grow into monolayer only 12-17 days, pollution rate is reduced to 5.6%, recovery survival rate reaches 76.19%, and provides efficient and reliable technical support for endangered amphibian germplasm resource preservation and biological research.

The present invention belongs to the field of porous media modeling, and provides an equivalent discrete model construction method and system for the multi-field coupling behavior of porous media. The method includes obtaining porous media particle information and pore structure characteristic parameters; according to the particle size and distribution in the porous media particle information, each particle is mapped to a corresponding site at the center of a truncated octahedron unit cell and connected by a bond, and then the particle component characteristics in the porous media particle information are distributed to the bonds in various directions and regions of the corresponding truncated octahedron unit cell center, and the mineral particles are continuously distributed to the corresponding truncated octahedron unit cells until the cumulative volume fraction of all truncated octahedron unit cells is equal to the experimental measurement value; the pore structure characteristic parameters are randomly distributed to the face centers of each truncated octahedron unit cell of a certain size, and the throat is used to connect the adjacent face centers until the cumulative pore throat volume in all truncated octahedron unit cells reaches the experimental measurement value.

The invention discloses an X-ray image detail and contrast enhancement method integrating histogram analysis and exposure fusion. The method comprises the following steps: S1, normalizing a histogram of a 16-bit high dynamic range image; s2, based on a histogram saturation maximum and minimum value calculation method, calculating a gray maximum value and a gray minimum value of the histogram obtained in S1; s3, generating a plurality of 8-bit low dynamic range images based on a histogram sliding window; and S4, based on an exposure fusion method, fusing the plurality of 8-bit low dynamic range images obtained in the S3 to generate an enhanced image. According to the invention, details in the image can be enhanced, and the X-ray high dynamic range image is converted into a high-quality X-ray image.

The embodiment of the invention relates to a processing method and device for a multi-task processing model of mRNA. The method comprises the following steps: constructing the multi-task processing model; carrying out data acquisition on mRNA sequences of multiple species and corresponding Ribo-seq sequences, and training a multi-task processing model based on the acquired data; after training is finished, an mRNA sequence and a Ribo-seq sequence input by a user are converted into corresponding vectors, the corresponding vectors are input into a multi-task processing model for prediction, and corresponding ribosome density / translation efficiency / translation extension rate / translation obstruction point prediction vectors are obtained; and according to the obtained prediction vector, correcting a Ribo-seq sequence input by a user, and marking a ribosome high-density region, a high-efficiency translation region, an extension rate change region and a potential barrier point on an mRNA sequence input by the user. According to the method, the data acquisition efficiency can be improved, the Ribo-seq data quality is improved, and the generalization of predicted species is improved.

The embodiment of the invention relates to the technical field of artificial intelligence, and discloses a training sample enhancement method, electronic equipment, a storage medium and a program product. The method comprises the following steps: marking an original defect image, and constructing an initial data set; cutting a defect area in the initial data set to obtain a defect target image block; training an improved deep convolutional generative adversarial network by using the defect target image block to obtain a trained generator; using the generator to generate a new defect image by inputting a random noise vector; and embedding the generated defect image into a defect-free background image by adopting a Poisson fusion technology to generate a synthetic defect image. According to the embodiment of the invention, the problem of scarcity of small sample defect data in industrial quality inspection can be solved.