19results about How to "Real-time computing" patented technology

The invention discloses an intelligent head-mounted device with a camera capable of rotating along with the camera, and the device comprises an eye movement tracking camera which is used for collecting and measuring the image data of the iris of the two eyes of a wearer; the IMU sensor is used for detecting head movement data of a wearer; the image acquisition and processing module is used for generating eyeball movement data according to the image data of the iris of the two eyes, and converting the eyeball movement data and the head movement data into a rotation instruction; the binocular camera motion control device executes the rotation instruction, drives the binocular camera to move, moves along with the iris and the eyeball, and collects image data in real time to realize line-of-sight tracking; and the image acquisition and processing module is also used for carrying out image and / or video fusion processing according to the received image acquired by the binocular camera in combination with the head movement data and the eyeball movement data. According to the invention, the problem of limitation in the aspects of acquiring depth information and expanding the visual field can be solved, and a more flexible camera tracking and adjusting mechanism is designed, so that wider and clearer image acquisition is realized.

The invention discloses a plant protection unmanned aerial vehicle cluster self-learning optimization formation control method, belongs to the technical field of self-learning optimization formation control methods, and improves the performance and adaptability of an unmanned aerial vehicle system. According to the patent technology, maximization of system performance can be achieved through ETCRF based on RL, the plant protection unmanned aerial vehicle can learn an optimal control strategy through interaction with the environment so as to reduce control cost and improve system efficiency, the system has higher adaptability, self-adaptive adjustment can be conducted according to environment changes and system requirements, and the system can be widely applied to the field of plant protection. Therefore, the plant protection unmanned aerial vehicle group system can better deal with dynamic environment and uncertain factors, so that the stability and robustness of the system are improved.

The invention provides a Bluetooth positioning tag position calculation method and system and a storage medium, and the method comprises the steps: collecting standard Bluetooth signals transmitted by a positioning tag at different moments, and obtaining collection signals; demodulating the acquired signal to obtain in-phase orthogonal data; fitting according to the phase of the in-phase orthogonal data to obtain the actual frequency of the acquisition signal; and determining the position of the positioning tag according to the phase of the actual frequency. According to the application, the acquisition signal is demodulated to obtain the in-phase orthogonal data, the actual frequency of the acquisition signal is obtained according to the phase fitting of the in-phase orthogonal data, and then the position of the positioning tag is determined according to the phase of the actual frequency. Only phase information is needed in the process of calculating the position of the label, so that the calculation cost is greatly reduced, the calculation efficiency of positioning the position of the label is improved, the calculation time delay is reduced, and the purpose of calculating the position of the label in real time is achieved.

The invention discloses an intelligent assessment method and system for regional geological disaster risk, and relates to the technical field of intelligent assessment. During operation of the system, various real-time data related to debris flow are acquired by integrating real-time sensors and satellite remote sensing data, original data are preprocessed and stored in a data storage system; based on the collected data, a physical model and a machine learning model are constructed, a debris flow disaster risk index MRI, a rainfall intensity coefficient RIC, a geological vulnerability coefficient GVC and a hydrodynamic pressure coefficient HPC are obtained after calculation, the probability of debris flow occurrence is predicted, and a result is output according to the model. The debris flow disaster risk index MRI is compared with a preset first safety threshold value M and a preset second safety threshold value N, the risk level of debris flow occurrence is evaluated, different areas are managed in a classified mode, debris flow early warning is given out according to real-time monitoring data and risk evaluation results, and automatic emergency response measures are supported.

The present application provides a method for obtaining loading information, a terminal device, and a computer storage medium. The method for obtaining loading information includes: obtaining a segmentation prediction map of a monitoring image; setting a dynamic calculation segmentation line based on the segmentation prediction map; using the dynamic calculation segmentation line as a boundary, obtaining the number of pixels of a first preset label and the number of pixels of a second preset label above the dynamic calculation segmentation line; using the number of pixels of the first preset label and the number of pixels of the second preset label to obtain the loading information corresponding to the monitoring image. In the above manner, the method for obtaining loading information of the present application can calculate the loading information in real time, effectively improving the efficiency and accuracy of obtaining loading information.

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 invention belongs to a yaw control technology, and particularly provides a wind power plant level real-time yaw control power optimization method based on a smoothed particle kernel approximation concept, which comprises the following steps of: constructing a total power calculation formula of two fans arranged in sequence; deriving a calculation formula of the total power of the two fans about the yaw angle of the upstream fan to obtain a derived function, and taking a yaw angle value corresponding to a zero point of the derived function as a final optimized yaw angle of the upstream fan; calculating the support domain radius of the target fan; and according to the calculation formula of the yaw angle of the upstream fan, the optimal yaw angle of any other fan in the relative support domain of the target fan is calculated, a control equation suitable for fluid smoothed particle method solving is constructed, and the final optimized yaw angle of the target fan is obtained. According to the method, a smoothed particle kernel approximation method is adopted, the optimal yaw angle of the fans is calculated through a formulation method, the power generation efficiency of the wind power plant is optimized, more fans are prevented from being affected by a wake flow area, and the power output of the whole plant is optimized.

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.

The present invention relates to a label service system, method, electronic device, and storage medium based on a SaaS model, the system comprising: a data acquisition node for acquiring a user behavior data stream of a first tenant; a label management node for generating a label engine metadata stream according to label information configured by the first tenant; a label calculation node for generating label data of the user behavior data using a label engine according to user behavior data acquired from the user behavior data stream; wherein the label calculation node has multiple child nodes, and the label engine is generated or updated in real time according to the label engine metadata stream based on an agile development language. In the present invention, the label engine does not need to be shut down for maintenance, and can be updated in real time at low cost and convenience, and the entire system constitutes a distributed stream processing framework, which can perform label calculations in real time with high throughput, thereby improving the efficiency of label calculations.

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.

The invention discloses a method and a system for extracting a theme color of a picture based on javascript, and the method comprises the steps: creating an Image object, and assigning a to-be-processed picture resource to an src attribute of the Image object, so as to load the picture resource; obtaining a picture object which is completely loaded; the method comprises the following steps: creating a canvas, and obtaining a 2D rendering context object of the canvas; the obtained picture object is drawn on a canvas; obtaining pixel data of the picture drawn on the canvas; processing the acquired pixel data, and dividing every four continuous rgba values into one group to represent color information of pixel points; carrying out statistics on the color information obtained by processing, and recording the occurrence frequency of each piece of color information; and obtaining color information which appears most frequently, wherein the color information is the theme color of the picture. Through the javaScript, accurate extraction of the theme color of the picture is successfully realized, dependence on an external expensive tool or complex hardware is avoided, the cost is greatly reduced, and the theme color extraction speed and efficiency are remarkably improved.

The invention discloses a multi-channel parallel fast Fourier transform hardware computing architecture, which comprises an ADC (Analog to Digital Converter) chip for converting an analog signal into a digital signal; the serial-to-parallel module is connected to the ADC chip, and the serial-to-parallel module converts the received data stream into P paths of parallel data streams; the P N-point FFT calculation cores are connected to the serial-to-parallel module, and each N-point FFT calculation core is used for receiving one path of parallel data flow and carrying out FFT calculation processing on the received data; the P rotating modules are respectively connected to one corresponding N-point FFT calculation core, and each rotating module is used for rotating the calculation result of the N-point FFT calculation core; and the P-point FFT module is connected to the plurality of rotation modules, and the P-point FFT module performs P-point FFT calculation on the rotation results of the P rotation modules and then outputs an FFT result. According to the multi-path parallel fast Fourier transform hardware computing architecture, parallel computing of multiple paths of data streams can be achieved, and the fast Fourier transform hardware computing acceleration effect is achieved.

The present invention discloses a digital twin design method and system for garden landscape, the method includes S100: obtaining the geomorphic data of the planning area through drone aerial survey, and integrating it with GIS geographic information to obtain the physical module of the terrain data of the planning area; S200: obtaining the garden landscape design scheme according to the terrain data of the planning area, and establishing the BIM model of each garden landscape element; S300: establishing the landscape area spatial attribute DTLD model, realizing the fusion simulation of the BIM model of each garden landscape element and the terrain data of the corresponding planning block; S400: realizing the immersive experience of the fusion simulation design scheme through interactive equipment, and evaluating whether the design scheme meets the design requirements. The method of the present invention integrates and simulates the BIM model with the actual physical model, and obtains the simulation effect through real-time simulation calculation, which greatly improves the degree of approximation between the design scheme and the real construction effect, and solves a series of problems such as the difficulty of traditional two-dimensional or three-dimensional static landscape garden design to simulate the real construction effect.

The invention discloses a method for dynamically screening network points based on longitude and latitude, and belongs to the field of general methods for carrying out distance measurement and data screening on massive geographic longitude and latitude data sets. A five-level address library table and a physical address library table are created according to an actual address, longitude and latitude position information of a user is obtained based on a mobile device or a PC terminal positioning function, and finally the five-level address library table and the physical address library table are read and screened according to the user information. According to the method, the distance between the website and the user is obtained through the screened table information and the user information according to an algorithm, the website name and the distance are provided for the user, and therefore efficient and dynamic screening of the physical website is achieved, calculation is conducted through a Haversine algorithm function, real-time and rapid calculation of the distance in the middle section is ensured, and the real-time dynamic screening of the physical website is achieved. The method can meet the working requirements of batch screening calculation and mobile calculation scenes, supports the coverage of the whole business scene, and improves the universality.

The present invention discloses a method and computer equipment for realizing target positioning based on a single camera, belonging to the field of positioning technology, and the steps are to obtain basic parameters of the camera; calculate the current horizontal field of view HFOV and vertical field of view VFOV of the camera; calculate the horizontal offset angle DFOV and vertical offset angle VDFOV of the target point in the image relative to the center point of the image; calculate the range distance R of the target point; and calculate the longitude and latitude of the target point. The advantages of the present invention are: the longitude and latitude of any target point in the field of view can be realized based on a single camera, the positioning accuracy is high, the calculation efficiency is high, it is applicable to various types of cameras, the application range is wide, it can be realized on the basis of existing hardware, no additional expensive equipment is required, it is suitable for upgrading and transformation on the existing monitoring system, the cost is low, the implementation is simple, and it is easy to realize.

The invention discloses an AGV robot chassis balance support adjustment method, which belongs to the technical field of automatic decoration in the construction industry. The adjustment method comprises the following steps: adjusting the support leg angle: adjusting the angle of the angle adjustment motor according to the construction scene requirements, and generally adjusting the angle to a 45° tilt position; adjusting the support leg height: adjusting the support leg position control motor, and judging whether the support leg is in full contact with the ground by detecting the current of the support leg position control motor, so that all the support legs are in contact with the ground; chassis leveling: reading the Euler angle information of the IMU of the chassis, dividing the 360 ​​degrees in the horizontal direction of the vehicle body into 8 quadrants, and judging the current chassis tilt direction according to the signs of the Euler angle pitch axis and roll axis, and then according to the tilt direction, adjusting the height of the three support legs in the lower position, so that the vehicle body keeps the angles of the pitch axis and the roll axis with the world coordinates at 0; and completing the final leveling through multiple approximation adjustments.

The present invention relates to an online evaluation method for load transfer capacity of airport rigid pavement joints, comprising: arranging accelerometers; fixing the accelerometers on the plate edges of cement concrete plates of airport rigid pavement; demodulating the measurement data of two accelerometers of adjacent plates on both sides of the joint based on a fiber grating demodulator to obtain plate edge vibration displacement data under dynamic load; calculating the maximum values ​​of left plate vibration displacement and right plate vibration displacement based on the plate edge vibration displacement data, and after screening the plate edge vibration displacement data, matching them according to spatial position and time window, recording aircraft passing events; deleting all data corresponding to unpaired aircraft passing events; calculating the joint deflection load transfer capacity in real time based on the retained data; and evaluating the capacity level of the joint deflection load transfer capacity based on the evaluation criteria. Compared with the prior art, the present invention has the advantages of high evaluation accuracy and good real-time performance.

The application discloses an unmanned ship autonomous berthing navigation system and method based on infrared vision tight coupling. The system comprises an infrared vision sensing module, a vision processing module and a multi-sensor fusion pose estimation module. The application installs an active infrared light source array at a berth and uses an improved deep learning target detection network at the end of the unmanned ship to detect the light source array. Secondly, through the constructed tight coupling integrated navigation system based on factor graph optimization, the information fusion of heterogeneous and asynchronous multi-sensors is realized in a sliding window. The method can detect the infrared light source array, ensure the realization of robust visual feature extraction under complex light changes, fuse the information of heterogeneous and asynchronous multi-sensors, realize the distance and attitude estimation of the unmanned ship relative to the light source array of the berth, overcome the vulnerability of a single sensor, provide accurate self-state and relative berth attitude information for the autonomous berthing of the unmanned ship, and improve the long-term navigation consistency.