24 results about "Interference factor" patented technology

The invention provides a mining circuit fault self-diagnosis method and system. According to the method, current and voltage waveforms and three-dimensional vibration signals of a cable are collected, and anti-interference data are generated through self-adaptive noise reduction and time sequence synchronization; a waveform interception window is dynamically adjusted based on the correlation between the mechanical vibration intensity and the current transient rate, the wave crest slope variable quantity is extracted from the current transient segment, high-frequency harmonic energy is separated from the voltage transient segment, time-frequency analysis is carried out on the vibration signal to extract an energy sudden increase frequency point, and a mechanical damage spectrum feature set is constructed; inputting the features into a space-time correlation model, and verifying space-time consistency of current distortion and voltage abnormity to generate composite features; dynamically correcting a fault threshold based on the environmental interference factor; and finally, a short-circuit peak or open-circuit oscillation diagnosis result is output according to the association strength of the electrical and mechanical characteristics. According to the invention, accurate fault self-diagnosis of the mining cable under a complex working condition is realized.

The invention discloses an operation control method for a wind power generation system, and relates to the technical field of operation control, and the method comprises the steps: obtaining the historical operation data of a wind power generation system in a target sea area, taking an offshore environment factor as an interference factor, and coupling the time-space parameters of ocean turbulence intensity, wave load and salt spray corrosion rate; establishing a fan-marine environment digital twinborn body; operation data is acquired in real time, synchronous mapping and dynamic updating of the digital twin are realized, and a state prediction model is established in combination with historical operation characteristics; taking the maximum power generation efficiency and the minimum mechanical load as a multi-objective optimization function, and introducing a model prediction controller to obtain an optimal control sequence of the wind power generation system in a future time domain of each control period; and selecting a first control instruction in the optimal control sequence, issuing the first control instruction to a physical fan torque controller and a variable pitch system in real time, realizing rolling optimization of the wind power generation system, and obtaining a self-adaptive operation control scheme of the wind power generation system. The power generation benefit of the whole life cycle is improved.

The invention relates to the technical field of oil and gas pipeline leakage detection, and discloses an infrasonic wave signal analysis method and system for oil and gas pipeline leakage detection. Basic data of the oil and gas pipeline and infrasonic wave original signal sample data when the oil and gas pipeline is free of leakage in a normal state are obtained, then the infrasonic wave signals are obtained through the infrasonic wave sensor, and the signal interference value is calculated based on the interference degree of the interference factors on the infrasonic wave signals. And performing feature extraction on the infrasonic wave signal to obtain sound wave feature data, calculating a similarity coefficient of the infrasonic wave signal and the infrasonic wave original signal, obtaining a non-interference judgment coefficient based on the constructed deviation prediction model, and judging and generating a leakage reminding signal according to a preset judgment threshold. According to the invention, the interference of meteorological interference factors, active interference factors and biological interference factors on the infrasonic wave signals can be eliminated, and the accuracy of oil and gas pipeline leakage detection by using the infrasonic wave signals is improved.

The invention relates to the technical field of traffic management infrastructures, and particularly discloses a holographic traffic signal lamp system and method, and the method comprises the steps: collecting vibration wave data in real time through a vibration detector, and remotely transmitting the collected vibration wave data to a third-party platform; the method comprises the following steps: extracting vibration wave archived data marked as abnormal from a three-party data source as a data set for comparative analysis, and introducing a deep learning algorithm to carry out waveform feature extraction on vibration wave data and each abnormal vibration wave archived data; the vibration wave data and each abnormal vibration wave archived data are subjected to dynamic query response analysis based on fluctuation characteristics, so that potential association between the real-time vibration wave data and the abnormal vibration wave archived data is mined, and intelligent earthquake early warning release is realized. In this way, the problem of false triggering caused by transient interference factors can be effectively solved, the accuracy and reliability of earthquake early warning are improved, and the situations of false alarm and missing alarm are reduced.

The invention discloses a cumin defective particle SVM detection method based on visible-near infrared hyperspectrum and GLCM texture feature fusion, and the method comprises the steps: taking artificially selected cumin mildew particles, thermally damaged particles and normal particles as research objects, and collecting standardized sample data through a visible hyperspectral imaging system; key characteristic wave bands are screened through a continuous projection algorithm, 264 characteristics are screened from 440 wavelengths, redundant information and interference factors in spectral data are eliminated, then 9 types of texture characteristics are extracted through a gray level co-occurrence matrix GLCM, dual-mode data are manually spliced and fused to construct a dual-channel data set, and defect classification accuracy is 94.44% by constructing SVMDA classification. The method is improved by 8% compared with traditional methods. According to the method, data set modalities are enriched, multi-modal features are effectively combined, so that efficient screening and classification of cumes are realized, and meanwhile, a new solution thought is provided for processing spectral data and improving model accuracy.

The invention discloses a method and device for quantifying the heterogeneous interference degree of an asphalt pavement in ground penetrating radar detection, and the method comprises the steps: respectively obtaining reflected waves with corresponding frequencies between the top of an asphalt surface layer of a target asphalt pavement and the bottom of a water-stable base layer when the ground penetrating radar transmits electromagnetic waves with different frequencies to the target asphalt pavement; determining a heterogeneous interference factor of the reflected wave of each frequency in the asphalt surface layer according to the heterogeneous interference wave of the asphalt surface layer in the reflected wave of each frequency, and calculating a broadband heterogeneous interference coefficient of the asphalt surface layer according to the heterogeneous interference factor of the asphalt surface layer; determining heterogeneous interference factors of the reflected waves of each frequency in the water-stable base layer according to heterogeneous interference waves of the water-stable base layer in the reflected waves of each frequency, and calculating a broadband heterogeneous interference coefficient of the water-stable base layer according to the heterogeneous interference factors of the water-stable base layer; and the interference degree of the material heterogeneous characteristics of the asphalt surface layer and the water-stable base layer in the ground penetrating radar detection on the detection result is quantified.

An adaptive variable-damping wave energy power generation device and method based on triboelectric nanogenerator technology belongs to the field of wave energy power generation devices. The invention comprises a wave absorber, a hydraulic transmission device, a triboelectric nanogenerator, a fixing device, and a damping adaptive adjustment device. The wave absorber's oscillating float moves up and down with the waves. The hydraulic transmission device transmits hydraulic signals to a hydraulic motor via hydraulic piping and an accumulator, converting the relative reciprocating motion of the wave absorber and fixing device into rotational motion. The rotating shaft of the hydraulic motor drives the main shaft of the triboelectric nanogenerator to generate rotational triboelectric power. The damping adaptive adjustment device includes multiple sensors, a decision module, and a control module. By incorporating triboelectric nanogenerator technology, the invention designs a wave energy power generation device with adaptive variable damping, mitigating interference factors in various wave conditions and increasing the wave power generation operating range and power generation efficiency in low-frequency wave conditions.

The invention discloses an optical receiving end bandwidth testing method and system and related equipment, which are characterized in that firstly, rough scanning is carried out by using a first sweep frequency step, an amplitude-frequency response area is divided, then a smaller second sweep frequency step is determined according to the attenuation slope of a transition core area, and differential sampling is adopted in different areas, so that frequency point redundancy is effectively reduced, the testing time is shortened, and the testing efficiency is improved. And meanwhile, amplitude-frequency rapid attenuation characteristics are accurately captured, test efficiency and precision are considered, and batch test requirements of a production line are met. The sampling duration and the Fourier transform average times are adjusted by combining the real-time signal-to-noise ratio, so that the influence of various interference factors can be inhibited; through peaking detection and roll-off characteristic judgment, a proper low-pass model is matched for global fitting, sampling random errors can be eliminated, a standard amplitude-frequency response curve fits actual characteristics, and the stability and repeatability of bandwidth judgment are improved. According to the method, through organic combination of adaptive non-uniform frequency sweeping and model fitting, precise, efficient and stable testing of the bandwidth of the optical receiving end is realized, and the testing performance is improved.

The invention discloses a ship Z-shaped navigation method guidance and control method based on line-of-sight guidance, and belongs to the technical field of water surface ship transportation under severe sea conditions, and the ship Z-shaped navigation method guidance and control method comprises the following steps: building a ship motion mathematical model; wind wave interference factors are added into the ship motion mathematical model, and a ship motion model under the severe sea condition is obtained; designing a preliminary controller by adopting a third-order closed-loop gain shaping algorithm; introducing the nonlinear composite function into the preliminary controller to realize ship course keeping control, and optimizing the preliminary controller in combination with nonlinear feedback and nonlinear embedding methods to obtain a final controller; a Z-shaped navigation guidance strategy is designed based on a sight guidance algorithm, so that the ship sails according to a Z-shaped route under severe sea conditions; and adjusting the waypoint by using the new sailing direction distance to enable the ship to quickly return to the planned route when the severe sea condition is recovered to the conventional sea condition. The method has an influence on improvement of the development of safety, reliability and intelligence of the ship.

The present invention relates to the field of atmospheric gravity wave detection, and particularly to a high-precision detection and identification system for atmospheric gravity waves in the South China Sea region; Technical problem: The existing atmospheric gravity wave detection and identification systems often have difficulty in accurately identifying the weak signals of atmospheric gravity waves, are easily affected by noise and other interference factors, and when performing large-scale data processing, there are often problems of low processing efficiency and long time consumption; Technical solution: A high-precision detection and identification system for atmospheric gravity waves in the South China Sea region, including a data acquisition module, an identification and analysis module, a real-time feedback module, and a visualization display module; The present invention utilizes artificial intelligence technologies such as deep learning and machine learning, can more accurately identify the characteristics of atmospheric gravity waves from complex data, reduce misjudgment and missed judgment, and through real-time online data processing, can process and analyze the data immediately after it is generated, providing timely support for forecasting and early warning.

The present application relates to a method and terminal for obtaining far-field source wavelets using direct-arrival wave data of marine earthquakes. The original wavelet data of the source to be measured is obtained, and the original wavelet data is the direct-arrival wave data with source ghost waves in the offset seismic channel to be measured; the position information of the source to be measured is obtained, and the filter factor corresponding to the original wavelet data is selected according to the position information; the filter factor is a comprehensive factor of interference factors that reflects the difference between the wavelet data in the offset seismic channel to be measured and the known offset seismic channel; the interference factors include: offset, source depth in water, sinking depth of the detection point, sound wave velocity in water, and water surface reflection coefficient; the original wavelet data is corrected using the filter factor to obtain the far-field wavelet data of the source to be measured. The solution provided by the present application can obtain seismic wave data in the known offset seismic channel that can be regarded as far-field wavelet data through the correction of the filter factor. The obtained result is reliable and accurate, and the calculation is simple, the data is easy to obtain, and the survey cost is low.

The invention discloses a UUV (Unmanned Underwater Vehicle) route self-adaptive adjustment method based on ocean current and pose information fusion, which comprises the following steps: step 1, carrying an acoustic Doppler ocean current profiler on a UUV, measuring the ocean current flow velocity under a beam coordinate system, and carrying out integration processing by combining the position and pose data of the UUV to obtain ocean information combined with the pose of the UUV; step 2, calculating the optimal initial course of UUV navigation according to the ocean information combined with the UUV pose obtained in the step 1; step 3, judging whether the result calculated in the step 2 is interfered by navigation interference factors, if so, executing step 4, and if not, outputting the optimal initial course; and 4, calculating the course of the UUV when the UUV is interfered by the navigation interference factors, calculating the optimal course after the UUV is interfered according to the information obtained in the step 2, and outputting the optimal course after the UUV is interfered. According to the method, the UUV can be adjusted to the optimal route through adaptive adjustment of the route, so that the navigation efficiency is improved while the task is ensured to be completed.

The application discloses an optical receiving end bandwidth test method, system and related equipment, which first performs coarse scanning by a first sweep frequency step and divides the amplitude-frequency response area, then determines a smaller second sweep frequency step according to the transition core area attenuation slope, adopts differential sampling in different areas, effectively reduces frequency point redundancy, shortens test time consumption, accurately captures the amplitude-frequency rapid attenuation characteristics, balances test efficiency and accuracy, and adapts to production line batch test requirements. By combining real-time signal-to-noise ratio adjustment sampling time and Fourier transform average number, the influence of various interference factors can be inhibited; by peak detection, roll-off characteristic determination, matching of a suitable low-pass model for global fitting, random sampling errors can be eliminated, the standard amplitude-frequency response curve can be fitted to the actual characteristics, and the stability and repeatability of bandwidth determination are improved. The method realizes accurate, efficient and stable test of the optical receiving end bandwidth through the organic combination of adaptive non-uniform sweep frequency and model fitting, and improves the test performance.

The application relates to a light anti-turbulence method and system based on an MPLC and a dynamic super surface. A light beam is first transmitted to a dynamic super surface, phase and amplitude modulation is realized through the dynamic super surface, then the light beam is transmitted to an MPLC structure, wavefront and field optimization modulation is realized through the MPLC structure, the modulated light signal is input to a receiving module, in the transmission process of the light beam, turbulence wavefront distortion data, vibration displacement data and light intensity fluctuation data are collected in real time, and a comprehensive interference factor is calculated, the compensation phase of the dynamic super surface and the modulation phase of the MPLC structure are calculated according to the total phase modulation instruction, and finally the total phase modulation instruction is generated, and the dynamic super surface and the MPLC structure are respectively optimized according to the total phase modulation instruction. The application realizes synchronous suppression of the coupling interference of turbulence, vibration and light intensity flicker, can be dynamically adjusted according to the change of the environment, and is suitable for different turbulence environments.

The invention relates to a method for operating and / or arranging a two-dimensional acoustic transducer assembly (1) comprising a plurality of separately controllable acoustic transducers (9), in which the acoustic transducers (9) of the acoustic transducer assembly (1) each generate element waves according to the wave field synthesis principle and / or according to a beamforming method, which element waves are superimposed wavefronts, the local propagation direction for the at least one acoustic wave array is known or can be determined at each transducer (9) of the transducer assembly (1). At least one acoustic interference factor which causes a frequency-dependent and / or direction-dependent change in the acoustic pressure of at least one first acoustic transducer (9) of the acoustic transducer arrangement (1) is detected, and an input signal of the at least one first acoustic transducer (9) of the acoustic transducer arrangement (1) is coupled to at least one correction device, in particular a filter device, the at least one correction device adjusts the acoustic interference factor as a function of a local propagation direction of the at least one acoustic wave array surface on the at least one first acoustic transducer (9), in particular by minimizing the acoustic interference factor by means of a forward correction.

The application discloses a kind of geological radar forecast waveform chart index quantization analysis methods based on pixel identification, comprising the following steps: S1, cutting geological radar advance geological forecast waveform chart;S2, point by point index each pixel point RGB value of cutting after waveform chart, calculate the RGB sum of each pixel point, segmented statistics each pixel point RGB sum distribution;S3, determine RGB gain threshold, and the pixel point of RGB sum less than or equal to RGB gain threshold is carried out target color gain;S4, determine the coordinate of each channel of waveform chart;S5, calculate the amplitude value of each wave crest, frequency;S6, according to preset in-phase axis continuity rate, calculate the continuity of each wave crest of each channel;S7, to waveform chart partition, calculate waveform chart energy attenuation rate.The present application carries out cutting, gain and other pretreatment to geological radar forecast waveform chart using pixel identification method, eliminates interference factor, and it is convenient for index quantization analysis.The quantization result of the index of radar forecast waveform chart is automatically calculated.

The invention discloses an anti-cross interference gas detection method based on acousto-optic and electrochemical dual mechanisms, and relates to the technical field of anti-interference gas detection, and the method comprises the following steps: constructing a strong interference factor comparison table, and recording strong interference factors of target gas; the method comprises the following steps: detecting target gas through electrochemical detection, acoustic surface wave detection and photoacoustic spectrum detection, and judging whether a detection result is interfered or not; building an anti-interference calibration model, and carrying out joint calibration on a detection result; if the detection result is interfered, giving credibility to electrochemical detection, surface acoustic wave detection and photoacoustic spectrum detection by referring to a strong interference factor comparison table, and performing joint calibration on the detection result by combining an anti-interference calibration model; the method is used for solving the problems that an existing anti-interference gas detection technology is high in use limitation, and anti-interference detection cannot be achieved in part of detection environments.

The invention relates to the technical field of ultrasonic flow measurement, and discloses a correction method for sound velocity detection of an ultrasonic flowmeter, which comprises the following steps of: transmitting a first sound wave and measuring the transmission time of the first sound wave on a propagation path of the first sound wave; transmitting a second sound wave and measuring the transmission time of the second sound wave on the propagation path; obtaining an included angle phi between the flowing direction of pipeline fluid and the flow sound channel; calculating the flow velocity of the pipeline fluid through a national standard calculation formula; the sound velocity of the ultrasonic sensor under the pipeline fluid condition is calculated through an empirical formula; and performing measurement precision evaluation on the ultrasonic sensor. The interference factor of the propagation speed of the ultrasonic waves in the gas by the fluid flow velocity is taken into consideration in the calculation method, the sound velocity detection error of the ultrasonic flowmeter is reduced, and the method has remarkable economic benefits.

The present invention relates to the technical field of pickup regulation, and a low-frequency switching method and system for a dynamic microphone, including: receiving acoustic wave signals by using a target microphone to obtain an original acoustic wave signal set, cutting the original acoustic wave signal set to obtain a set of cut acoustic wave signal groups, analyzing the signals of the cut acoustic wave signal groups to obtain the cut signal energy and the cut signal frequency, using the cut signal frequency groups and the cut signal energy groups to conduct an analysis of environmental acoustic wave interference to obtain an acoustic wave interference factor, and if the acoustic wave interference factor is greater than the standard interference factor, using a low-frequency filtering device to perform low-frequency switching on the target microphone to obtain a switched microphone. The present invention can improve the quality of the acoustic wave signals received by the dynamic microphone and enhance the environmental adaptability of the dynamic microphone.

The present application relates to the technical field of millimeter wave radar, and more particularly to a millimeter wave radar interference prediction method and an interference prediction device. The millimeter wave radar interference prediction method comprises the following steps: first, obtaining a radar interference signal; then, obtaining interference parameters of the radar interference signal; and finally, inputting the interference parameters into an interference probability prediction model to obtain an interference probability corresponding to the radar interference signal. The interference probability prediction model is obtained based on analysis of multiple interference factors affecting the interference probability. Therefore, the interference probability prediction model is obtained based on analysis of multiple interference factors affecting the interference probability, and the interference probability obtained based on the interference probability prediction model is more accurate.

The invention discloses a VSP longitudinal and transverse direct wave event pickup method, and relates to the technical field of oil-gas exploration, and the method comprises the following steps: preprocessing a multi-shot VSP gather, and rearranging the gather sequence; some abnormal channels in the multi-shot VSP channel set data are preprocessed, and interference factors are reduced; frequency-wavenumber domain filtering is used to separate an uplink wave field and a downlink wave field; calculating the distribution of event extreme points of the VSP wave field needing to be picked up; fusing multi-shot data, and calculating grid point coordinates as voters; voting by using adjacent extreme points as voters; voting all extreme points of the current pickup channel, counting voting results of the current channel, and taking the extreme points with multiple votes as pickup seed points of data of the next channel; and gradient constraint is carried out, a pickup result is optimized, and the problem that the event of the longitudinal and transverse direct waves in the VSP wave field cannot be accurately picked up in current VSP data processing is solved.

The invention relates to a light anti-turbulence method and system based on an MPLC and a dynamic metasurface. A light beam is firstly transmitted to the dynamic metasurface, and phase and amplitude modulation is realized through the dynamic metasurface; and then transmitting to the MPLC structure, and realizing optimized modulation of the wavefront and the field of view through the MPLC structure. The modulated optical signal is input to the receiving module; in the light beam transmission process, turbulent wavefront distortion data, vibration displacement data and light intensity fluctuation data are collected in real time, and a comprehensive interference factor is calculated; finally generating a total phase modulation instruction according to the compensation phase of the dynamic metasurface and the modulation phase of the MPLC structure; and respectively performing optimization modulation on the dynamic metasurface and the MPLC structure according to the total phase modulation instruction. According to the invention, synchronous suppression of coupling interference of turbulence, vibration and light intensity flicker is realized, dynamic adjustment can be carried out according to environment changes, and different turbulence environments can be adapted.

The invention belongs to the technical field of steel plate intelligent detection, and discloses a steel plate wave shape detection system and method based on deep learning. In order to solve the problems of insufficient detection precision and poor generalization of steel plate wave shapes (especially medium waves and other special types) under complex working conditions in the prior art, targeted optimization and improvement are carried out on the basis of a standard YOLO11 model. Real-time image data in the rolling process of the high-temperature steel plate is input, and accurate recognition and positioning of various wave-shaped defects are achieved through the improved model; the characteristics of a steel production process are combined, interference factors such as illumination and temperature under complex working conditions are adapted, and the robustness of a detection system is improved; and the position, type and size information of the wave-shaped defects is output, and accurate data support is provided for rolling process adjustment. In the working condition of wave shape detection of the hot-rolled steel plate, the real-time detection precision is improved, the omission ratio is reduced, diversified wave shape detection requirements under different rolling processes can be met, and the method has good industrial application prospects.

The invention relates to the technical field of geophysical crustal stress correction, in particular to a shale reservoir plastic method crustal stress correction method based on anisotropy. The method comprises the following steps: firstly, acquiring modal components of a fast shear wave signal and a slow shear wave signal; further obtaining interference factors in each signal according to the morphological similarity between different wave crests in the frequency domain of each modal component in combination with the frequency domain difference between different modal components; further performing weighted reconstruction and band-pass filtering on the modal component based on the interference factor; further accurately extracting the arrival time of the fast and slow transverse waves by using a cross-correlation method so as to calculate anisotropic parameters; and finally, the crustal stress calculation model is corrected based on the lithology data and the anisotropy parameters, a corrected minimum horizontal principal stress value is obtained, the problem of stress calculation deviation caused by anisotropy in a complex stratum is effectively solved, and a reliable basis is provided for precise drilling trajectory design, fracturing parameter optimization and efficient reservoir utilization.