7results about How to "Achieve real-time tracking" patented technology

The invention provides a parameter acquisition method of a photovoltaic tracking system, which comprises the following steps of: acquiring longitude and latitude, time and date of a device installation place by using GPS (Global Positioning System) positioning, and describing the relative position of the sun through a sun-oriented movement trajectory tracking algorithm; calculating a tracking angle at which the camera should rotate by using the known relative position of the sun and the direction vector and the position vector of the tracking camera; the camera is driven to rotate to a theoretical angle, and then position tracking of the sun is achieved through the angle sensor; in the tracking process, eight-quadrant illumination intensity data is collected through a self-adaptive weight distribution algorithm model. According to the invention, real-time tracking of the sun is realized, and effective picture data acquisition work for the sun area in the sky is completed. The illumination intensity value calculated by using the adaptive weight distribution algorithm model can reduce the influence of the external environment on the data to a certain extent, balance the error and deviation between the sensors, and finally improve the measurement precision of the illumination intensity.

The invention relates to the field of power systems, and discloses a DMMoEQN-based power system parameter identification method, which comprises the following steps: acquiring an initial observation value # imgabs0 # and a target observation value # imgabs1 # of a power system, and selecting an optimal parameter adjustment action # imgabs3 # by an intelligent agent according to a current observation value # imgabs2 # through an online network; an action # imgabs4 # is executed, the electric power system updates a parameter state # imgabs6 # of the electric power system according to the action # imgabs5 #, and a new observation value # imgabs7 # is obtained; calculating a step reward according to an error between the new observation value # imgabs8 # and the target observation value # imgabs9 #, and obtaining a total reward according to the step reward; judging whether the observation value # imgabs10 # of the electric power system is within the error range of the target observation value # imgabs11 #, if so, performing initialization, and continuing training; when the epoch number is larger than the preset maximum epoch number, training is ended, a power system parameter set # imgabs12 # is obtained through the trained power system parameter identification model, and the power system is adjusted according to the parameter set # imgabs13 #. According to the invention, efficient and accurate parameter identification and dynamic adjustment of the power system can be realized.

This invention relates to a markerless real-time registration and tracking method and system for mandibular surgery. The method includes the following steps: the patient performs multiple opening and closing movements of the upper and lower jaws while the robotic arm is fixed, and the system synchronously records the changes in the angles of each joint of the robotic arm; based on the forward kinematics of the robotic arm, the continuous motion trajectory of the distal end of the jaw in space is calculated to form an actual jawbone trajectory point cloud; a preoperative image model is formed using the actual jawbone trajectory point cloud, a simulated jawbone trajectory is constructed in the preoperative image model, and the actual trajectory is aligned using the ICP registration algorithm to achieve automatic registration; the system establishes a mapping between angle changes and the spatial posture of the jawbone to achieve dynamic tracking and visual navigation during surgery. This invention solves the problems of large errors, high complexity, many limitations, and low efficiency in preoperative image data registration technology during maxillofacial surgery, avoids the need for preoperative implantation of markers, and achieves high-precision registration, high automation, and strong real-time performance under natural conditions.

The application discloses a big data-based intelligent education guidance evaluation system and method, belongs to the technical field of intelligent education and big data analysis, and comprises a multi-source heterogeneous education data acquisition module, a data preprocessing and feature fusion module, a multi-dimensional capacity evaluation module, a learning behavior sequence analysis module, an individualized guidance recommendation module and a multi-role visual display module. The method integrates multi-source data through a time sequence self-adaptive alignment algorithm, realizes five-dimensional comprehensive capacity evaluation by adopting a subjective and objective fusion weighting algorithm and a double-flow attention knowledge tracking algorithm, performs learning behavior time sequence modeling by using a key behavior node identification algorithm, and generates an individualized learning path by a cognitive load perception path optimization algorithm. The application solves the problems of single evaluation dimension, fragmented data acquisition and lack of data support for individualized guidance in the existing education evaluation system.

The invention discloses an infrared radiation deicing method and system based on blade tracking, and the method comprises the steps: obtaining a video stream of a blade region through a high-speed camera, and extracting the blade state features of each image frame in the video stream of the blade region through a deep learning-based image processing technology; and further performing time sequence dynamic propagation on the blade state characteristics to excavate a change mode of the blade state along with time, capturing a movement track and a rotation characteristic of the blade, and realizing prediction of the position of the blade at the next moment based on the movement track and the rotation characteristic. And then, based on the blade position data at the next moment, adjusting the direction of infrared radiation. In this way, real-time tracking of the high-speed rotating blades and real-time dynamic adjustment of the infrared radiation direction can be achieved, the deicing efficiency is improved, unnecessary energy consumption is reduced, and the stability and reliability of a wind energy conversion system are guaranteed.

The utility model relates to the technical field of photovoltaic power generation, in particular to a three-vector photovoltaic power generation tracking system, which comprises a support column, the upper end of the support column is fixedly connected with a seat shell, the inner side of the seat shell is provided with a rotating groove, the outer side of the rotating groove is communicated with an expanding groove, the inner side of the rotating groove is rotatably connected with a longitudinal shaft, and the longitudinal shaft is connected with the seat shell. The right side of the seat shell is fixedly connected with an azimuth angle regulation and control motor, the tail end of an output shaft of the azimuth angle regulation and control motor and the outer side of the longitudinal shaft are fixedly connected with bevel gears, a group of bevel gears are in meshed connection, and the right side of the seat shell is provided with an azimuth angle regulation controller. The photovoltaic power generation tracking system forms a three-vector relation through time, an azimuth angle and an elevation angle by arranging structures such as a longitudinal shaft, a transverse shaft, a base and a bevel gear, so that equipment can track sunlight in real time by a simple structure according to the relation, and the photovoltaic power generation tracking system has the advantages of low manufacturing cost, no mechanical noise in regulation and control and easiness in maintenance.

A dual-ear protector active noise cancellation method, comprising: collecting an external environment noise reference signal output by a feedforward microphone of an ear cover and an earplug external noise reference signal output by a feedforward reference microphone of an earplug; calculating an actual acoustic transfer function between the feedforward microphone of the ear cover and the feedforward microphone of the earplug according to the external environment noise reference signal and the earplug external noise reference signal; confirming that the actual acoustic transfer function and a current reference acoustic transfer function do not match; controlling a loudspeaker of the ear cover to play a test audio signal and obtaining a test response signal collected by the feedforward microphone of the earplug; determining a target transfer path model according to the test audio signal and the test response signal; and updating an active noise cancellation filter coefficient of the ear cover and an active noise cancellation filter coefficient of the earplug according to the target transfer path model.