5results about How to "Overcome randomness" patented technology

This invention provides a method for calculating the optimal time for rolling up greenhouse curtains. The method includes the following steps: calculating the solar altitude angle h for a given region, date, and time; obtaining the temperature equilibrium time point inside the greenhouse during winter; calculating the solar altitude angle h of the temperature equilibrium point inside the greenhouse on different dates during winter; and calculating the optimal curtain-rolling time T for different dates in the given region during winter. The method provided by this invention has the advantage of being able to calculate the optimal curtain-rolling time for greenhouses on different dates and in different geographical locations during winter without relying on complex sensors inside the greenhouse, by integrating geographical information, astronomical parameters, and historical observation data. This improves the utilization of climate resources and effectively mitigates meteorological disasters in facility agriculture.

The application discloses a lightweight feature extraction model and a flotation process running state evaluation method. The model comprises: a first teacher module configured to generate a first roughing image feature and a first scavenging image feature according to the foam image; a second teacher module configured to generate a first data feature according to the foam data; a student module configured to generate a second roughing image feature according to the first roughing image feature, generate a second scavenging image feature according to the first scavenging image feature, and generate a second data feature according to the first data feature; and a fusion module configured to fuse the second roughing image feature, the second scavenging image feature and the second data feature to generate a first fusion feature, and generate a state grade label according to the first fusion feature; and determine the state grade of the current flotation process running state, so as to provide a more lightweight model deployment and a more competitive application in an actual industrial scene.

The invention provides an engine anti-theft function test method and system, equipment and a storage medium, and belongs to the technical field of vehicle test. The test method comprises the following steps: controlling a key to move in a corresponding three-dimensional test space according to a preset test space range, and triggering an authentication process of an anti-theft function; synchronously acquiring spatial position sampling data of the key and an authentication result of the anti-theft function, and generating a training data set; the training data set is input into a preset machine learning model for training, a prediction model of the triggering probability of the engine anti-theft function is obtained, and the prediction model takes the spatial position information of the key as input and takes the probability that the engine anti-theft function is successfully triggered as output; and based on the prediction model, generating a three-dimensional function boundary representing the reliable triggering area of the anti-theft function of the engine. According to the method, automation of the testing process and comprehensive coverage of the three-dimensional space are achieved, the visual three-dimensional function boundary is generated through the machine learning model, and the testing efficiency and reliability are improved.

The application provides a wind-driven box lifting suitable temperature aquaculture device and method based on pumped storage. The device is composed of a fan water pumping, water storage, buoyancy device and box lifting device. The wind-driven generator drives the water pump to work, water enters the water tank from the water pumping pipe, and the fan water pumping is realized. When the water level reaches the upper water level sensor, the water pumping controller controls the water pump to stop pumping, and the water storage is realized. When the temperature reaches the low temperature line or the normal temperature line of the temperature sensor, a signal is sent to the valve controller, the valve is opened, water is discharged to generate electricity, the low temperature control motor releases the tight state of the rope, and the net cage is gently lowered. When the temperature is high, the control motor contracts the rope to the tight state, and the net cage is gently lifted. The application is suitable for multiple water areas, combines wind power with pumped storage, and realizes stable and uniform power generation. The application combines wind power with fishery, realizes suitable temperature aquaculture of fish population, reduces manual input, and improves resource utilization rate and ecological benefits.

This invention relates to the field of permanent magnet motor design and optimization technology, specifically a high-efficiency integrated permanent magnet rotor magnetic circuit optimization design system, comprising: a configuration module, a topology generation module, an analytical calculation module, an index evaluation module, a parameter analysis module, and a scheme output module. The system generates multiple candidate magnetic circuit schemes based on initial parameters and performs rapid magnetic field analysis and comprehensive performance scoring using the equivalent magnetic circuit method. The parameter analysis module performs parameter perturbation analysis on the preferred schemes, accurately identifying the key design variables that have the most significant impact on performance; the scheme output module then iteratively optimizes these sensitive variables as the main optimization objects. This technical solution transforms traditional high-dimensional global optimization into low-dimensional directional search targeting key variables, reducing computational complexity and optimization time, effectively improving the efficiency and accuracy of permanent magnet motor rotor magnetic circuit design, and ultimately outputting optimal configuration parameters and a complete magnetic circuit design model.