931 results about "Wave crest" patented technology

The invention relates to the technical field of cable fault detection, in particular to a cable fault analysis system based on big data, which comprises a disturbance feature extraction module, a time sequence hierarchy judgment module, a reflection characteristic analysis module, a topological section identification module and a fault path mapping module. According to the method, gradient inflection points are extracted by calculating voltage and current increment included angles at adjacent moments, spatial-temporal characteristics of disturbance signals are correlated, interference of noise to a starting point mark is reduced, time difference is fitted in combination with cable length, deviation over-threshold abnormal points are dynamically filtered, influences of synchronization errors on sorting are eliminated, and fault path mapping stability is improved; the method comprises the following steps: generating characteristic parameters by fusing amplitude values and wave crest intervals of main waves and reflection waves, quantifying amplitude attenuation and phase offset coupling, enhancing the multi-path superposed signal separation capability, judging the reflection characteristic similarity of a physical section based on a Manhattan distance and a support vector machine, and dynamically dividing a fault section in combination with line topology. The problem of fuzzy positioning in a branch parallel scene in a traditional method is solved.

The invention relates to the technical field of steam turbine testing, in particular to a testing system for mismatch correction of a wide-load-interval thermal power generating unit speed regulation model, which comprises a thermodynamic system component, a speed regulation system device, a dynamic signal acquisition device and a control device, a dynamic signal processing module analyzes the relevance between main steam pressure sudden change and control valve opening oscillation in real time, a dynamic response database including a time sequence is constructed, and a control valve opening feed-forward compensation instruction and a combustor fuel distribution gradient adjustment signal are generated according to correction parameters. Power over-modulation wave crests caused by sudden load change are suppressed, and primary frequency modulation action delay is reduced; and the simulation verification module compares measured data with model output through an error feedback mechanism, dynamically adjusts high-pressure cylinder flow characteristic curve calibration parameters, optimizes a control strategy in combination with a network-related safety margin evaluation result, and realizes improvement of dynamic response precision in a full peak regulation interval and enhancement of power grid frequency stability.

The invention relates to the technical field of disaster monitoring, in particular to a mine inrush water image processing system based on AI recognition, which comprises a fissure water flow tracking module, a voiceprint disturbance extraction module, an acceleration mapping module, a form analysis module and a risk output module. According to the method, a fine voiceprint perturbation sequence is formed by extracting crack water flow boundary pixel coordinates from continuous frame images, accurately capturing water flow micro-displacement and generating a deviation track in combination with an inter-frame difference between a gray gradient amplitude and a direction angle, and synchronously extracting a liquid level perturbation wave crest position and a voiceprint primary and secondary frequency amplitude difference; the acceleration is calculated according to the pixel displacement speed and mapped to a time axis, so that the boundary movement trend and morphological change are synchronously analyzed in the time dimension, risk frame locking is completed by multi-source signals in the same time period under double-threshold judgment, and three-dimensional presentation of the water flow dynamic state is achieved. The accuracy and reliability of sudden water gushing risk judgment in a complex mine environment are remarkably improved, and the probability of missing detection and misjudgment is reduced.

The invention discloses a large-section long-footage mechanical blasting mixed excavation method suitable for a subway station, and relates to the technical field of underground rail transit engineering, and the method comprises the following steps: obtaining a tunnel section contour, a geologic structure and blasting parameters, building a three-dimensional blasting wave propagation inversion model, and combining geology and material heterogeneity to obtain a three-dimensional blasting wave propagation inversion model; and identifying a closed space region forming reflection interference, and predicting a space point location where blasting wave energy is abnormally accumulated. Based on the three-dimensional blasting wave propagation inversion model, the abnormal wave energy accumulation area is predicted in combination with geological heterogeneity, the high-risk blasting section is recognized, parameters are reconstructed, vibration real-time monitoring and model feedback correction are assisted, a closed-loop control system is constructed, local wave crest abnormity is effectively restrained, and the safety and controllability of large-section tunnel blasting construction are improved.

The invention discloses a solar cell, a photovoltaic module and a manufacturing method of the solar cell, relates to the technical field of solar cells, and aims to solve the problem of poor quality of a patterned film layer in the prior art. The solar cell includes a semiconductor substrate and a first doped semiconductor layer. The semiconductor substrate comprises a first surface and a second surface which are opposite, and the first surface is provided with first areas and second areas which are alternately distributed along a first direction. The first doped semiconductor layer is arranged in the first region, and the first doped semiconductor layer is not arranged on the second region. The side surface of the first doped semiconductor layer close to the second region is wave-shaped along a second direction, and the first direction is different from the second direction. In the first direction, the distance between a wave crest and a wave trough of the wave shape is greater than or equal to 1 mu m and less than or equal to 4 mu m; and / or the average roughness of the wave shape extending in the second direction is smaller than or equal to 2.4 microns.

The invention relates to the technical field of vibration monitoring, in particular to a self-powered transmission line fitting aeolian vibration damage diagnosis system and method, and the system comprises a sensing collection module, a signal decoupling module, a damage identification module, a damage association module and a risk assessment module. According to the method, stress wave velocity and acceleration data are synchronously collected, time alignment is implemented, feature coupling precision is enhanced, wave crest offset and energy density are respectively extracted by using moving average filtering and wavelet transform, effective data segments are dynamically screened, and environmental noise interference is suppressed. A stress wave propagation change rate is quantified based on a path attenuation model, a continuous energy abnormal node is matched to realize damage positioning, a breeze response abnormal region is identified by combining vibration direction change and a signal envelope offset degree, multi-dimensional features are coded and subjected to risk judgment through a neural network, a damage positioning and risk assessment closed-loop framework is formed, and the risk assessment accuracy is improved. And the spatial resolution and evaluation precision of aeolian vibration damage identification under complex working conditions are significantly improved.

The invention discloses an electrocardiosignal classification method based on a multi-threshold pulse neural network, which comprises the following steps: acquiring an original electrocardiosignal, and denoising the original electrocardiosignal by using wavelet transform; segmenting the denoised electrocardiosignals into cardiac beat segments according to R wave crest positions, and dividing the cardiac beat segments into a training set and a test set; based on the discharge characteristics of the biological neurons, multi-threshold integral pulse distribution neurons are constructed, and a multi-threshold pulse neural network is constructed; training and testing are carried out, a gradient agent method is used for adjusting parameters of the pulse neural network, an optimal configuration network is obtained, and classification of electrocardiosignals is achieved. According to the method, the extraction capability of the pulse neural network on the electrocardiosignal time sequence characteristics in the training process is improved; and meanwhile, the original sparsity and biological inspiration characteristics are reserved, so that the method not only has excellent performance in the aspect of processing time sequence data, but also can remarkably reduce the calculation energy consumption, and is suitable for portable medical equipment and resource-limited edge equipment.

The invention discloses an ultrasonic-assisted broaching machine tool based on a resonance broach and a design method. The machine tool comprises a broaching machine structure; a groove of the ultrasonic broaching tool is located in the position corresponding to the vibration mode wave crest of the broaching tool; the main piezoelectric actuator device is arranged in the groove; the compensation piezoelectric actuator device is arranged at the position, corresponding to the radial vibration mode, of the ultrasonic broach; the frequency of the ultrasonic power supply and the main power supply is the corresponding frequency when the axial ultrasonic vibration amplitude is maximum and the radial ultrasonic vibration amplitude is minimum under different power supply frequencies, the main driving voltage is determined according to the frequency of the main power supply, the preset broaching maximum speed of the broach and an ultrasonic auxiliary broaching effectiveness coefficient, and the frequency of the compensation power supply is the same as the frequency of the main power supply; the phase difference is 180 degrees, and the compensation driving voltage is the corresponding driving voltage when the ratio of the radial ultrasonic vibration amplitude to the axial ultrasonic vibration amplitude in different driving voltages is smaller than or equal to a preset threshold value. The ultrasonic assistance of the broach which needs to be frequently clamped can be realized.

The invention relates to the technical field of oil and gas exploitation, and discloses an oil and gas well water production position positioning method, device and equipment based on distributed optical fiber sound waves and a medium, and acoustic signals corresponding to a plurality of production profiles can be collected through a distributed acoustic sensor arranged in an oil and gas shaft. And performing preprocessing, time-frequency conversion and normalization on the acoustic signal corresponding to each production profile to obtain a normalized acoustic spectrum corresponding to each production profile. And extracting a characteristic wave crest section from the normalized acoustic spectrum corresponding to each production profile. And carrying out reverse normalization on the characteristic wave crest segment corresponding to each production profile to obtain a reverse normalization wave crest segment. And based on the water phase response frequency band, determining a matched first wave crest section in the anti-normalized wave crest section corresponding to each production profile, and determining the production profile corresponding to each first wave crest section as a water production position. According to the invention, intelligent detection of the water production position of the oil and gas well can be realized, and the detection precision of the water production position is effectively improved.

The invention discloses a signal detrending method based on sliding window statistics and dynamic wave crest correction. The method comprises the step of realizing accurate extraction of signal trend and fluctuation characteristics through a double-window dynamic adjustment mechanism of a mean value window and a standard deviation window. A detection threshold value is dynamically adjusted by analyzing the change trend of the historical wave crest amplitude, and the real-time tracking capability of signal fluctuation is ensured; meanwhile, different parameter configurations are preset for different application scenes, the problem of missing detection or misjudgment generated when the amplitude of a fixed threshold algorithm changes suddenly is solved, and the wave crest recognition accuracy is improved. Based on a dynamic threshold algorithm, wave peak start and end points are automatically identified, a linear interpolation technology is adopted to calculate slope of each interval, fitting parameters are dynamically adjusted through residual analysis, and finally low-frequency trend terms and high-frequency characteristic components are effectively separated through difference operation of original signals and fitting signals. The problem of fitting deviation caused by non-uniform sampling can be effectively solved.

The invention relates to the technical field of tumble prediction, in particular to a tumor patient tumble prediction system based on machine learning, which comprises a stride frequency recognition module, a physiological fluctuation monitoring module, a gait coupling judgment module, a posture analysis module and a risk output regulation and control module. According to the method, by accurately positioning the wave crests and the wave troughs in the acceleration signal period and analyzing the frequency change direction of the adjacent sections, accurate marking of the mutation sections is achieved, the sensitive capture capacity of behavior state changes is effectively improved, and the synchronous extraction mode of the mutation sections and the physiological signals is improved. Through consistency comparison of attitude angle change and gravity center track direction, accuracy of motion structure abnormity and imbalance state identification is enhanced, pressure distribution and spine compression direction are extracted, corresponding pairing between structure pressure and physiological load is realized, optimization of time sequence integrity is realized, and accuracy of motion structure abnormity and imbalance state identification is improved. And multi-dimensional data fusion analysis has high pertinence and stability.

The invention discloses a power transmission line fault positioning method and system based on multi-dimensional magnetic field measurement. At least two multi-dimensional magnetic field measurement devices are arranged on power transmission towers at different positions of the same power transmission line; based on the multi-dimensional magnetic field measuring device, determining components of magnetic field intensity in the x, y and z directions of the space, and monitoring dynamic magnetic field distribution data in the space of the power transmission line in real time; determining a sensitive directional component based on the dynamic magnetic field distribution data; performing data preprocessing on the determined sensitive direction component, and establishing a space-time magnetic field intensity matrix based on the preprocessed sensitive direction component; based on the space-time magnetic field intensity matrix, establishing a magnetic field intensity time-varying oscillogram, and based on the magnetic field intensity time-varying oscillogram, determining a wave crest of sudden change of the magnetic field intensity and a moment corresponding to the wave crest; and determining a fault position based on the wave crest and the moment corresponding to the wave crest.

The invention provides a three-dimensional skin waviness fitting analysis method. The method comprises the following steps: performing boundary analysis on skin point cloud data obtained by laser measurement, performing interpolation sampling from the point cloud data according to a specified area and resolution to obtain point cloud coordinates which can reflect the real condition of the skin and are regularly arranged, performing bicubic spline surface least square approximation based on a sampling point set, and calculating the skin point cloud data according to the bicubic spline surface least square approximation. The method comprises the following steps: acquiring a reference curved surface reflecting the overall distribution trend of an analysis area, calculating distance deviation from a sampling point to the reference curved surface, carrying out filtering smoothing processing, forming a smooth deviation curved surface capable of reflecting the deviation condition of a measurement curved surface, extracting information such as wave crest and wave trough positions, wave amplitude, wavelength and slope in the deviation curved surface, and carrying out skin waviness characteristic analysis. According to the method, the tiny waviness characteristics of the irregular curvature surface of the aircraft can be extracted, the skin waviness distribution condition can be visually displayed, and the method has the advantages of being wide in applicability, small in error, high in reliability, low in time cost and the like.

The invention relates to the technical field of partial discharge detection, in particular to a partial discharge detection method and system for a high-low voltage switch cabinet, and the method comprises the steps: obtaining electromagnetic wave signals and power system voltage data of each sensor position in real time; acquiring a partial discharge period in each detection window according to the electromagnetic wave maximum value of all the sensors in each power frequency period in each detection window, the distance between the electromagnetic wave maximum value and the voltage wave crest and the voltage wave trough of the power system, and the electromagnetic wave signal difference between the sensors; and according to the dispersion degree of the electromagnetic wave maximum values of all the sensors under each partial discharge period in each detection window, the electromagnetic wave signal frequency domain energy of each partial discharge period and the proportion of the partial discharge period in each detection window, obtaining the existence confidence of each detection window, and judging whether partial discharge exists under the current detection window or not. According to the invention, by analyzing the distinguishing characteristics of the partial discharge and the electromagnetic interference in the electromagnetic wave signals at multiple positions, the detection precision of the partial discharge is improved.

The invention provides an aviation nacelle part waviness automatic detection and evaluation method, and belongs to the field of product production detection, and the method comprises the steps: carrying out the protocol scanning of part surface contour features, and obtaining the undistorted coordinate point discrete point cloud data of the actual surface contour; filtering the point cloud data; obtaining a piece of flattened deviation value discrete point cloud data; obtaining a flattened deviation value continuous curve by adopting a general standard curve reduction method; extracting waviness components, and obtaining a curve center line; obtaining a crest value and a trough value participating in calculation; and calculating the maximum wave amplitude, the waviness and the slope for evaluating the waviness by using the wave peak value and the wave trough value. According to the method, the relation between the minimum cut-off wavelength of the waviness and the sampling interval is stipulated, the undistorted reduction of the surface profile curve is ensured, the influence of non-waviness profile components in the digital evaluation of the waviness is eliminated through a combined calculation method, and the evaluation accuracy of the waviness of the aviation nacelle part is improved.

The invention discloses an ion chromatography wave crest boundary extraction method based on fitting residual and tangent judgment, and belongs to the technical field of ion chromatography analysis. Comprising the following steps: S1, reading an original waveform data sequence, and executing frequency reduction sampling according to a set step length; s2, calculating the slope of the data after underclocking sampling by using a difference method, and searching positive and negative slope sections by performing first-order derivation on the waveform after underclocking sampling; s3, noise interference is eliminated, slope areas are grouped, then a chromatographic peak detection limit value is set, and an effective peak left section and an effective peak right section are screened out; s4, combining the effective wave crest left side section and the effective wave crest right side section to obtain an effective wave crest and a preliminary left boundary point and a preliminary right boundary point of the effective wave crest; s5, fitting a straight line through the preliminary left boundary point and the preliminary right boundary point to position an error integral region; and S6, updating the optimal boundary point by traversing the evaluation indexes of all points in the error integral region. The boundary search range is more accurate, and the calculation efficiency is higher.

The invention provides a covered stent coated with an electrostatic spinning membrane and a preparation method thereof.The covered stent comprises a metal stent and a covering membrane, the metal stent is composed of a spiral metal wire, the metal wire is provided with a plurality of zigzag parts which are evenly arranged and connected end to end, every two adjacent zigzag parts are in a wave crest shape and a wave trough shape respectively, and the multiple zigzag parts enable the metal wire to be in a wave shape; the covering film covers the surface of the metal support to form a tubular structure, and the tubular structure can be kept shaped after bending deformation at the lesion position so that the tubular structure can be matched with the lesion position in shape. The covered stent has a high specific surface area and an adjustable porous structure, the micron-sized aperture of the covered stent can effectively prevent blood permeation, the high porosity allows a proper amount of tissue or cells to penetrate, vascularization and tissue integration of the implanted stent are promoted, and therefore the risk of stent displacement or instability is reduced.

The invention provides an automatic digging method of an excavator based on image recognition, which is realized based on a material pool and the excavator, a laser radar and a binocular camera are arranged on the upper edge of the material pool, and the excavator comprises a digging arm, a double-bucket assembly and a control unit. The method comprises the following steps: determining a peak initial position by a laser radar material pile three-dimensional point cloud, and performing secondary calibration by a camera to obtain a peak final position and a slope angle; the control unit switches a first / second digging mode according to the distance between the wave crest and the excavator, the first mode controls the excavator bucket to conduct wall-attached digging and conduct bottoming detection through the pressure sensor, and the second mode adjusts the angle of the excavator bucket to conduct digging according to the slope angle; when no wave crest exists, a corresponding digging scheme exists, and the point cloud is updated after digging each time; the wave crest positioning precision and the environmental adaptability are improved, the digging efficiency is optimized, manual intervention is reduced, and the device is suitable for digging of materials such as cereals and gravels.

The invention discloses a corrugated steel web bridge deformation monitoring temperature lag compensation method and system, and the method comprises the steps: constructing time sequence data of a corrugated steel web, the time sequence data comprises a time sequence composed of a wave crest temperature, a wave trough temperature, a strain measurement value, a wind speed and solar radiation intensity in any fold period of the corrugated steel web at any moment; according to the time sequence data, calculating the temperature lag time of the temperature to the structure response by using a sliding cross correlation coefficient algorithm of the frequency domain energy weight; time sequence data are reconstructed according to the temperature lag time, and the reconstructed time sequence data are obtained to serve as state vectors of the corrugated steel web; the state vector of the corrugated steel web is input into the strategy network of reinforcement learning, an optimal action instruction of the next step is output and obtained, and the optimal action instruction comprises the step that a compensation signal is applied to time sequence data; according to the optimal action instruction, the predicted state vector of the corrugated steel web at the next moment is obtained; and obtaining a strain prediction value of the corrugated steel web according to the state vector of the corrugated steel web at the next moment. Dynamic and high-precision compensation of the corrugated web bridge temperature hysteresis effect is achieved for the first time.

The invention discloses a method for automatically calculating the waviness of an aircraft profile in an MATLAB environment, and the method comprises the steps: 1, obtaining the plane section point location data of the waviness of the aircraft profile based on the reverse point cloud data of the aircraft profile; and step 2, automatically calculating the airplane profile waviness in the MATLAB environment, including plane classification of point location data, three-dimensional coordinate system conversion, two-dimensional wave crest and wave trough point location calculation, wave crest and wave trough point coordinate system reverse conversion, waviness calculation and form report output on the point location data of the plane cross section obtained in the step 1 through a program in the MATLAB environment. Therefore, automatic calculation of the airplane appearance waviness is completed. According to the invention, the problem that the existing detection mode for the airplane profile corrugation is difficult to have convenient operability, detection precision and detection efficiency at the same time is solved.

The invention relates to the technical field of ultrasonic detection, in particular to a concrete quality detection method for building construction, which comprises the following steps: acquiring a transmitting wave and a detection receiving wave, and reconstructing the detection receiving wave divided by using signal intensity to obtain a defect signal segment and an initial reconstruction signal thereof; obtaining a reconstruction reserved weight based on the peak steep characteristic presented in the defect signal segment; adjusting each wave crest in the initial reconstruction signal to obtain a fused reconstruction signal; dividing all fusion reconstruction signals based on signal intensity similar characteristics of the homologous signals to obtain first reflection signals and attenuation reflection signals thereof; and performing attenuation processing on the attenuation reflection signal of the first reflection signal to obtain a concrete quality detection wave. The invention aims to solve the interference caused by multiple reflections of ultrasonic waves in the concrete detection process and achieve the purposes of eliminating the interference and improving the concrete quality detection accuracy.

The invention relates to the technical field of optics, in particular to a low-crosstalk channel modulation interference polarization spectrum detection method and system, and the system comprises a half-field telescopic module, a phase modulation module, an interference modulation module and a detection module. The half-view-field telescope module is used for performing lower half-view-field beam collimation on an input target beam, the target beam is propagated to the phase modulation module in parallel according to a set range, a composite polarization splitting prism group in the phase modulation module performs light splitting operation based on the target beam output by the half-view-field telescope module, and two parallel polarized lights are emitted, independent phase modulation of the two paths of light is ensured; and the interference modulation module is used for performing light splitting modulation according to the two paths of polarized light to ensure that the two paths of modulated polarized light beams interfere with each other and are transmitted to the detection module for imaging. According to the system, the detection precision of a narrow-band polarization spectrum or a polarization spectrum with an obvious narrow-band wave crest and a narrow-band absorption peak is improved, the polarization spectrum detection capability is high, and the application range is wide.

The invention discloses a focusing method, a microscopic system and a computer readable storage medium. The microscope system comprises an objective lens and an imaging assembly for imaging a target surface, and the focusing method comprises the steps that the microscope system is controlled to execute coarse focusing operation, so that a focusing position is located at a coarse focusing position, and the focusing position is a relative position between the objective lens and the target surface; the objective lens and / or the target surface are / is controlled to move multiple times at the position near the coarse focusing position, and after each time of movement, a new focusing position and a definition score of an image shot by the imaging assembly for the target surface corresponding to the new focusing position are obtained; a definition mapping curve is determined according to the multiple focusing positions and the multiple definition scores, then the objective lens and / or the target surface are / is moved so that the focusing positions can be located at the fine focusing positions, then the imaging assembly obtains a clear image of the target surface, and the definition scores at the fine focusing positions are determined according to the wave crests of the definition mapping curve. The focusing method is beneficial to improving the observation efficiency.

The invention discloses a wave generation-flow generation-vibration table combined loading method based on test wave elements, and the method comprises the steps: starting a flow generation device to form a stable flow field, and monitoring the flow velocity uniformity in real time through a flow velocity sensor; starting wave making equipment to generate a target wave, synchronously acquiring wave crest arrival time through a wave sensor arranged along the wave propagation direction, and calculating a wave period and a wave propagation speed; selecting the wave crest of the wave period of the target characteristic wave, calculating the phase time offset according to the phase of the target characteristic wave, and calculating the propagation time of the target characteristic wave based on the wave propagation speed, the horizontal distance from the wave sensor to the center of the vibration table and the phase time offset; and obtaining the initial loading time of the vibration table, and calculating the final starting time of the vibration table according to the initial loading time of the vibration table and the target characteristic wave propagation time. According to the invention, the loading time sequence and parameters of the vibration table are accurately controlled, and accurate and synchronous loading of waves, ocean currents and vibration is realized.

The invention discloses a heart tension index dynamic calculation and risk assessment method based on HRV, and the method comprises the steps: carrying out the filtering and denoising of an electrocardiosignal through a Butterworth filter, and obtaining a filtered electrocardiosignal; calculating interval data of adjacent wave crests; processing the interval data according to fast Fourier transform to obtain frequency domain features, and combining the interval data to obtain time domain features; performing normalization processing on the time domain and frequency domain features based on a maximum and minimum normalization method; calculating a cardiac tension index according to the normalized features and a pre-trained multiple linear regression model; matching a pre-constructed reference database according to the individual age, gender and body mass index to obtain a reference cardiac tension index; calculating a cardiovascular risk score in combination with the normalized frequency domain features and a reference cardiac tension index; and repeating the above steps regularly, smoothing through a moving average method based on continuous multiple cardiovascular risk scores, and analyzing the trend to send out cardiovascular risk early warning information.

The invention relates to an automatic and semi-automatic electric arc technology, in particular to a hollow guide rail quick positioning and welding device and a positioning method.The hollow guide rail quick positioning and welding device comprises a base, a rolling conveying piece installed on the base and a hollow guide rail body arranged on the rolling conveying piece in a transmission mode; the positioning piece is arranged on the base and is used for lifting and positioning the welding seam of the hollow guide rail main body. Through the integral matching design, intermittent lifting action of the ejector rod can be realized, and when the ejector rod performs lifting motion, the positioning piece connected with the ejector rod performs lifting action synchronously, so that the welding seam of the hollow guide rail main body is accurately lifted and positioned, the wave fluctuation height difference caused by sinking is weakened, and the welding quality of the hollow guide rail main body is improved. The height difference between the wave crest and the wave trough which fluctuate is controlled within the range that a welding pool can melt along flow as much as possible, the lifting action of the ejector rod and the positioning piece is driven by the driving piece, the phenomenon can be effectively avoided, the flatness of a welding seam is ensured, and a good foundation is provided for welding operation.

The invention relates to an ultrahigh-temperature-resistant radio-frequency coaxial cable and a manufacturing method thereof. The cable comprises an inner conductor, an insulating foaming layer, a first outer conductor, a glass fiber belt, a silicon dioxide aerogel coating, a second outer conductor, a flame-retardant fireproof layer and a flame-retardant sheath layer which are sequentially arranged from inside to outside, wherein the first outer conductor is provided with a first embossing structure comprising wave crests and wave troughs; the second outer conductor is provided with a second embossing structure comprising wave crests and wave troughs; the positions of wave crests and wave troughs of the first embossed structure are consistent with the positions of corresponding wave crests and wave troughs of the second embossed structure, and air layers are formed between the first embossed structure and the glass fiber belt and between the second embossed structure and the silicon dioxide aerogel coating. According to the invention, the safety and reliability of the cable in extreme environments such as fire disasters and the like are remarkably improved, and communication interruption of the radio frequency coaxial cable in high-temperature environments of fire disasters is avoided.

The utility model provides a dust cover, drive subassembly and vehicle, dust cover includes cover body, major diameter end connecting edge and minor diameter end connecting edge, major diameter end connecting edge and minor diameter end connecting edge are respectively connected to the both ends of cover body, the cover body along the axial direction includes a plurality of wave crest structure and wave trough structure that alternate connection in proper order, the wave crest structure is provided with a large-diameter end wave crest face facing the large-diameter end connecting edge and a small-diameter end wave crest face facing the small-diameter end connecting edge, and at least one of the large-diameter end wave crest face and the small-diameter end wave crest face is provided with a drainage groove. The drainage grooves extend from the positions close to the trough structures to the positions away from the trough structures. According to the dustproof cover, the contact area and the water amount between the two adjacent wave crest structures are reduced, so that the siphonic effect and the stick-slip effect between the two adjacent wave crest structures are reduced, and the periodic abnormal sound of a vehicle in the large-angle steering process is relieved or eliminated.

The utility model belongs to the technical field of flexible structure design, and particularly relates to a perimeter-variable fuselage frame structure which comprises sliding groove sections, sliding key sections, corrugated beams, height-variable supporting columns and length-variable supporting rods. The corrugated beams are arranged on the outer sides of the sliding key sections and the sliding groove sections and are provided with wave crest and wave trough structures; the sliding key sections and the sliding groove sections are located on the inner sides of the corrugated beams, arranged at intervals and distributed in a staggered mode. The corrugated beams, the sliding key sections and the sliding groove sections are all of arc-shaped structures, and wave crests and wave troughs of the corrugated beams are arranged in the radial direction of the arc-shaped structures; the sliding key section and the sliding groove section are mutually nested to form an arc-shaped supporting sliding way, and the wave trough of the corrugated beam slides on the arc-shaped supporting sliding way; the height-variable supporting column and the length-variable supporting rod are hinged to the two ends of the sliding key section respectively. The shape of the fuselage can be greatly changed, the large-size fuselage can provide a large space to carry more fuel, and the small-size fuselage is beneficial for reducing flight resistance and improving the fuel utilization rate.

The invention provides a high-strength steel wire rope. The high-strength steel wire rope comprises a steel wire rope body, an externally-attached active regulation and control device and a regulation and control sleeve. The steel wire rope body comprises an outer layer, a middle layer and a core part which are sequentially arranged from outside to inside, the outer layer is a six-strand steel wire bundle with a hexagonal section, the six-strand steel wire bundle is divided into two and three strands which are spirally twisted in a leftward constant-pitch mode to form an alternate close-packed structure, the middle layer is twelve corrugated steel wire strands with a rhombic section, and the core part is arranged between the twelve corrugated steel wire strands. The twelve corrugated steel wire strands are spirally twisted rightwards in a variable-pitch mode, the wave crests and the wave troughs of the twisted adjacent strands are arranged in a staggered and meshed mode to form a continuous contact face, and the core part is a carbon fiber reinforced metal matrix composite core; the active regulation and control device comprises a memory alloy framework layer, a gradient elastic buffer layer and a connecting interface which are sequentially arranged from outside to inside, and the connecting interface is a hexagonal groove array forming geometric interlocking with the six strands of steel wire bundles.