6results about How to "Real-time extraction" patented technology

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 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 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 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.