4results about How to "Real-time computing" patented technology

The present application belongs to the field of thermal power plants, and discloses a coal quantity rapid analysis method, system, computer equipment and storage medium, comprising: obtaining laser radar scanning point cloud data of a coal pile area; performing three-dimensional target detection on the laser radar scanning point cloud data of the coal pile area with the coal pile as a to-be-recognized target to obtain relative coordinates of a three-dimensional detection frame; obtaining laser radar scanning point cloud data within the three-dimensional detection frame according to the relative coordinates of the three-dimensional detection frame, and obtaining a pile shape type of the coal pile and relative size parameters of the coal pile according to the laser radar scanning point cloud data within the three-dimensional detection frame; and obtaining a volume of the coal pile according to the pile shape type of the coal pile, the relative coordinates of the three-dimensional detection frame and the relative size parameters of the coal pile. Compared with the existing manual coal piling method, the coal quantity rapid analysis method can realize real-time and rapid calculation of the volume of the coal pile based on the laser radar scanning point cloud data of the coal pile area, greatly reducing the time consumption of piling coal.

The application discloses a profile error calculation method for a numerical control machining device, and relates to the technical field of numerical control machining.The method takes a time point corresponding to an expected position point as an initial value of a Newton iteration method, determines a potential time interval in which a time point corresponding to a minimum value of a profile error evaluation function is located by using a gradient descent method, and then dynamically switches the Newton iteration method and a dichotomy method to accurately solve a target time point in the potential time interval, so that the method quickly and reliably converges to a local optimal point closest to the expected position point.The method has the speed of the Newton iteration method and the stability of the dichotomy method, improves the reliability and robustness of a profile error calculation result, and provides an efficient and stable calculation basis for subsequent profile precision control and real-time compensation.

The present application relates to the technical field of parallel inverter control, and particularly relates to a parallel inverter circulating current prediction control method. The present application establishes mathematical models of a single inverter and a virtual inverter, and controls the current and zero sequence circulating current through a current prediction model and a circulating current prediction model, wherein the inner layer is used for controlling the current, and the outer layer is used for inhibiting the zero sequence circulating current, so as to calculate the optimal output voltage and common-mode voltage at the next moment in real time, to meet the current tracking and zero sequence circulating current inhibition, and to realize the complete inhibition of the zero sequence circulating current under the premise of ensuring accurate current tracking. Without relying on complex communication or control parameter design between inverters, the present application can actively eliminate the steady-state zero sequence circulating current error, and greatly improves the theoretical inhibition effect of the zero sequence circulating current.

This disclosure relates to the field of data processing technology, and in particular to a method, system, device, and medium for processing data popularity. The method involves: acquiring historical hot / cold trends and current access characteristics of the data; calculating the initial popularity based on the platform weight at the time of data addition, historical hot / cold trends, and a popularity decay factor; dynamically adjusting the time decay factor based on the interval between the data addition time and the target time; calculating the decay of the initial popularity based on the time decay factor to obtain the decayed popularity; and calculating the latest total popularity based on the decayed popularity and current access characteristics, and storing the updated data popularity in a database. This disclosure, by introducing a time decay factor and a dynamic parameter adjustment mechanism, solves the problems of popularity distortion caused by fixed parameter calculations, inaccurate reflection of new data popularity, and the Matthew effect in existing technologies. It achieves accurate and real-time calculation of data popularity, effectively improving database management efficiency and storage resource utilization.