7results about How to "Good technical support" patented technology

The invention discloses a multi-mode defect automatic classification method, device and equipment and a storage medium. The method comprises the following steps: acquiring a microscope image, an X-ray image and defect feature information data of a to-be-detected product; first classification processing is preferentially carried out based on the microscope image, when the first classification processing result meets a first preset reliability condition, the first classification processing result is taken as a final classification result, and when the first classification processing result does not meet the first preset reliability condition, the final classification result is taken as a final classification result. Performing feature fusion based on the X-ray image and the defect feature information data, and executing second classification processing; when the second classification processing result meets a second preset reliability condition, the second classification processing result serves as a final classification result, and when the second classification processing result does not meet the second preset reliability condition, defect type judgment is conducted based on key parameters in the defect feature information data, and the final classification result is output; the classification accuracy and efficiency can be improved, and the error recognition rate is reduced.

This invention relates to the field of gas field production technology, and in particular to a gas well pumping and drainage method for producing gas by draining liquid from the entire wellbore. The steps are as follows: Step 1: Deploy a single-flow device; Step 2: Begin the pumping operation; Step 3: The pumping device descends; Step 4: Reciprocating operation; Step 5: Detect the liquid accumulation and resume production. This invention provides a gas well pumping and drainage method for producing gas by draining liquid from the entire wellbore, and provides a downhole device with a reasonable structure, stable performance, and strong gas-liquid lifting capacity, which has a gas-liquid unidirectional flow control function to assist in gas-liquid lifting and prevent liquid backflow. This method solves the problems encountered in the pumping and drainage process of gas wells by adopting a new method of relay drainage using a pumping device and a single-flow device. It can significantly reduce the height of the liquid column in the wellbore, realize the lifting of liquid from the entire wellbore of the liquid-filled gas well, further improve the production recovery effect of the liquid-filled well, and effectively solve the problem of production recovery of liquid-filled gas wells.

The invention discloses a predictive current control method, device and equipment for a permanent magnet hub motor and a medium, and relates to the technical field of vehicle control, and the method comprises the steps: obtaining prior input voltage data and prior output current data of a preset length, and converting the prior input voltage data and the prior output current data into a Hankel matrix form, and taking the prior input voltage data and the prior output current data as prior data; jointly representing the trajectory to be predicted, the decision vector, the initial trajectory and the prior data as a data prediction model of a complete input and output trajectory; constructing a cost function and a data prediction model, converting the cost function and the data prediction model into a quadratic programming function configuration, and solving the quadratic programming function to obtain a reference voltage vector; and carrying out cost function evaluation on the candidate voltage vector so as to obtain an optimal voltage vector through screening to act on the motor. According to the method, the problem of uncertainty of parameters can be effectively solved, the robustness of a motor system is improved, and meanwhile, the number of to-be-evaluated voltage vectors can be effectively reduced, so that optimization of calculation efficiency is realized.

The application relates to a kind of honeycomb aluminum structure to space debris ultra-high speed collision protection quantitative evaluation method, belong to numerical simulation technical field.Based on the actual ultra-high speed collision situation, establish the simulation model of ultra-high speed collision, respectively extract the backplane and the back effect plate of honeycomb aluminum structure after ultra-high speed collision Perforation damage image, and extract the coordinate information of SPH particle of fragment cloud produced after space debris collides with honeycomb aluminum structure;The extracted perforation damage image is sequentially grayed, binarized, then the damage area is identified and the area size is counted, and the identification and size statistics of the minimum circumscribed circle or the minimum circumscribed fitting ellipse are realized, and the damage degree and range are quantitatively evaluated based on the above statistical results;Based on the coordinate information of the extracted SPH particle, the density clustering algorithm is used to realize the identification and mass statistics of the center dangerous fragment of the fragment cloud formed after collision, which realizes the quantitative evaluation of protection efficiency, and greatly saves the research and development cost.

This invention relates to the field of molecular biology, and more particularly to a kit and method for detecting obesity gene polymorphisms. The invention develops a kit and nucleic acid mass spectrometry detection method for simultaneously detecting obesity gene polymorphisms rs1421085, rs9939609, rs1801282, rs1042713, and rs17782313. This allows for the rapid and simultaneous detection of ten genotypes at five polymorphic loci, making genetic testing for obesity-related polymorphisms more convenient and offering high sample throughput. This provides better technical support for obesity gene detection and helps to provide better suggestions for personal weight loss plans, demonstrating broad application prospects.

The invention discloses a body-building action recognition and evaluation method based on a sparse inertial sensor, and belongs to the technical field of artificial intelligence and exercise health. The body-building action recognition and evaluation method comprises the following steps: acquiring 6-node motion information of a human body through the inertial sensor, acquiring 24-node motion information of the human body through a human body motion reconstruction network, and inputting the information into a trained body-building action classification model; and finally, according to a body-building action recognition result, performing quantitative evaluation on the body-building actions by utilizing dynamic time warping (DTW), and quickly comparing the real-time body-building actions with standard actions. According to the body-building action recognition and evaluation method based on the sparse inertial sensor, accurate recognition and quantitative evaluation of the body-building action can be effectively achieved, and meanwhile the body-building action recognition and evaluation method is low in price and higher in practical applicability.

The present application relates to the field of geotechnical engineering and bridge seismic technology, especially relates to a kind of geotechnical vibration influence analysis method and system of bridge pile foundation, including obtaining geotechnical vibration data and pile foundation structure data, establishing multi-scale coupling equation group and partition calculation to obtain partition response field, based on stress evolution, energy transfer path is constructed to obtain stress concentration position, stress concentration position is mapped to pile body to identify sensitive section and calculate fatigue damage degree distribution to identify dangerous section, extract frequency domain feature to identify vibration excitation mode feedback adjustment equation group, through multi-scale partition coupling and energy transfer tracking, the accurate analysis of pile foundation dynamic response and fatigue damage is realized, and the accuracy of bridge seismic evaluation is improved.