11results about How to "Real-time extraction" patented technology

The invention discloses an engine multi-mode operation identification method and device based on a multi-dimensional internet of things, and a medium, and aims to solve the problem that the driving state cannot be obtained in time due to inaccurate engine monitoring data. According to the method, multiple key parameters in operation of the engine can be comprehensively covered through different types of sensors, rich information basis is provided for multi-modal operation identification of the engine through multi-dimensional data collection, rich feature data is extracted from the multiple sensors, time domain, frequency domain and time frequency features are covered, and the method is suitable for multi-modal operation identification of the engine. Through construction of a multi-modal operation identification model, data of a plurality of sensors can be comprehensively considered, a neural network model is used for training, and a cross validation method is used for model verification, so that the stability and generalization ability of the model are ensured; and the state of the engine is quickly judged according to the multi-mode operation identification model, so that real-time monitoring and early warning of the state of the engine are realized.

The invention provides an airborne cloud precipitation particle measuring instrument which comprises a probe cabin with an elliptical cross section, the top end of the probe cabin is located on one side of an elliptical long axis perpendicular to the cross section, a first supporting arm and a second supporting arm which are oppositely arranged are fixed to the top end, and a fixing seat is arranged on one side face of the probe cabin; reflective mirror cover plates inclined inwards by 45 degrees are arranged on the outer walls of the free ends, away from the probe bin, of the first supporting arm and the second supporting arm, windows are arranged between the top ends of the inner walls of the free ends and the outer edges of the tops of the reflective mirror cover plates, and window glass is fixed through window glass pressing rings; a 45-degree reflector is mounted on the inner side of the reflector cover plate; a laser assembly is arranged in the first supporting arm; a lens group and a camera are arranged in the second supporting arm. The lens group is located at a light inlet of the camera. The overall modeling of the device is streamline, wind resistance is reduced, collision and breakage of particles are reduced, the device has high precision and reliability, and real-time, high-speed and three-dimensional measurement and synchronous extraction of cloud precipitation particles can be achieved.

The application discloses a network information collection method and system based on real-time text analysis, comprising the following steps: acquiring real-time text data, preprocessing the real-time text data, acquiring first data and second data according to the preprocessed real-time text data, calculating the similarity of the first data and the similarity of the second data, weighting the similarity of the first data and the similarity of the second data to obtain a classification target, constructing a text classification model according to the classification target, inputting the real-time text data into the text classification model to obtain classification data, and outputting the classification data as collected network information. The method can not only improve the accuracy of network information collection, but also has good interpretability and can be directly applied to a network information collection system.

The present invention provides an onboard flood data processing method, device and system based on the aviation emergency mode, the method comprising: based on the ground observation image, performing image mosaicking to obtain the target image; inputting the target image into the water body recognition model to obtain the water body recognition result; based on the water body recognition result and the geographic information data, performing spatial analysis to obtain the comprehensive flood analysis information; when the aircraft lands, the comprehensive flood analysis information is sent to the remote terminal, so that the remote terminal receives the comprehensive flood analysis information, makes a preliminary judgment on the disaster situation, and guides the generation of rescue command decisions. The onboard flood data processing method, device and system based on the aviation emergency mode provided by the present invention can realize the splicing, correction, information extraction and the like of flood data in real time and quasi-real time on board during the flight, and transmit the information to the ground command system after the aircraft lands, so as to improve the efficiency and timeliness of information processing, which is of obvious significance to emergency rescue.

The invention discloses a harmonic suppression method and system under a high background harmonic condition, and the method comprises the steps: carrying out the wavelet transformation of an input power grid voltage signal, and extracting the amplitude information of each harmonic in real time; dynamically determining a target harmonic set which needs to be suppressed at present through a preset threshold judgment mechanism according to the extracted amplitude information of each harmonic; for each harmonic in the target harmonic set, synchronously executing harmonic suppression and phase compensation operation; sending the signal subjected to harmonic suppression and phase compensation into a phase-locked loop to obtain a power grid synchronous phase; the system provided by the invention comprises an extraction module, a determination module, a compensation module and a suppression module, and provides a highly purified input signal for the phase-locked loop, so that the phase-locked loop can still maintain rapid and overshoot-free high-precision phase locking under serious harmonic pollution; and the operation stability and the electric energy quality of the grid-connected inverter in a complex power grid environment are remarkably improved.

The invention provides an intelligent detection and classification method and system for dendrobium officinale diseases and insect pests, and relates to the field of data processing, and the method comprises the steps: obtaining a plurality of pieces of sample data; based on the multiple sample data, establishing an optical flow calculation model, a feature extraction model and a pest and disease classification model; obtaining 3D point cloud data of the dendrobium officinale based on a three-dimensional reconstruction technology according to the three-dimensional data of the dendrobium officinale; through an optical flow calculation model, according to the two-dimensional image sequence of the dendrobium officinale, determining optical flow information of the dendrobium officinale; according to the 3D point cloud data and the optical flow information of the dendrobium officinale, whether an optical flow generation area exists in a leaf area of the dendrobium officinale is judged; if yes, extracting image features of the dendrobium officinale from the two-dimensional image sequence of the dendrobium officinale through a feature extraction model; the pest and disease damage type of the dendrobium officinale is determined through the pest and disease damage classification model according to the image features and the optical flow information of the dendrobium officinale, and the method has the advantage of improving the detection and classification efficiency and accuracy of the pest and disease damage of the dendrobium officinale.

The invention provides a frequency band detection method of an OFDM (Orthogonal Frequency Division Multiplexing) communication system and related equipment. The method comprises the following steps: performing sliding discrete Fourier transform on a received signal sampling sequence to obtain sliding discrete Fourier transform output corresponding to each subcarrier index; constructing a frequency band energy sequence of each candidate frequency band based on the sliding discrete Fourier transform output; defining an adaptive threshold value of each candidate frequency band based on the noise statistical parameter of each candidate frequency band in the preset noise interval; constructing a detection window based on the obtained window starting position; based on the frequency band energy sequence of each candidate frequency band, calculating the detection statistics of each candidate frequency band in the detection window and the corresponding confidence; and if the detection statistical magnitude is greater than the adaptive threshold and the confidence coefficient is greater than a preset confidence coefficient, determining each candidate frequency band as an effective communication frequency band. According to the invention, low time delay, low power consumption and accuracy of communication frequency band detection in the OFDM communication system can be considered.

The invention relates to the technical field of laser ranging and photoelectric detection, and discloses an atmospheric attenuation compensation data processing system for a long-distance laser radar, which comprises a signal acquisition module, a signal processing module and a signal processing module, an atmospheric parameter calculation module determines an atmospheric attenuation coefficient according to a signal segment amplitude attenuation slope, a gain control module adjusts a gain curve increase step length, a timing correction module determines a timing starting point offset according to the coefficient, and both gain adjustment and offset compensation respond to the atmospheric attenuation coefficient in real time; according to the invention, a transmissivity in-situ sensing mechanism is established by using a scattering background endogenous by a laser echo, waveform broadening and timing starting point offset caused by non-uniform distribution of a medium are eliminated, and distance measurement consistency and sensitivity are improved.

The invention discloses an auxiliary puncture method and system based on ultrasonic image blood vessel score feedback, and relates to the technical field of medical images. According to the blood vessel recognition method, blood vessel signal features of the human body are analyzed according to ultrasonic image imaging of the target human body, intelligent recognition and blood vessel segmentation are carried out on the blood vessel signals, on the basis that the blood vessel segmentation area is obtained, scoring and feedback of whether the blood vessel is suitable for puncture are carried out, the defects in the prior art are overcome, and the blood vessel recognition efficiency is improved. According to the method, blood vessel extraction and evaluation on whether the current position is suitable for puncture are achieved, especially for blood vessel extraction and puncture fitness score feedback, the position of an ultrasonic probe is adjusted to find the optimal puncture position, and the accuracy and success rate of auxiliary puncture are greatly improved; automatic and intelligent image recognition and scoring of the blood vessel subjected to ultrasonic-assisted puncture are achieved, and the method becomes a judgment basis for optimizing and optimizing the position of the ultrasonic probe subjected to ultrasonic image puncture assistance.

The utility model discloses intelligent imaging glasses in the technical field of imaging equipment, and aims to solve the problems that in the prior art, when the intelligent imaging glasses are worn, only two glasses legs are used for playing a fixing role, the falling phenomenon easily occurs, and meanwhile, required modules of the glasses cannot be added according to actual use requirements. The glasses comprise a glasses frame, lenses are detachably connected to the outer wall of the glasses frame, glasses legs and mounting blocks are arranged on the two sides of the outer wall of the glasses frame respectively, fixing devices are detachably connected to the sides, away from the glasses frame, of the outer walls of the mounting blocks, the fixing devices comprise expansion earphones, and the expansion earphones comprise arc-shaped frames matched with human auricles; according to the utility model, the arc-shaped frame is clamped on the outer side of the auricle, and the relative positions of the whole glasses and a person are fixed, so that the glasses are prevented from falling off during movement; according to actual use requirements, required modules can be mounted on the arc-shaped frames, and the arc-shaped frames are mounted on the mounting blocks, so that the actually required modules are carried on the glasses.

The application relates to a multi-dimensional feature real-time extraction method for high-speed network flow, and belongs to the technical field of network security. In view of the technical difficulty of real-time extraction of multi-dimensional flow features of intelligent network threat detection in a high-speed network environment, the application combines the damping increment statistics and sketch two ideas, proposes an incremental statistics sketch ISS architecture, and based on the architecture, proposes a flow feature real-time extraction method in a high-speed network, which is used for real-time extraction of multi-dimensional flow features in a high-load network. The extraction method has high-speed flow processing capacity and flow feature real-time calculation capacity, and can realize real-time extraction of multi-dimensional flow features in a high-speed network environment.