984 results about "Probe signal" patented technology

The invention provides a multi-target tracking and interference cooperation method and system based on a millimeter wave radar. The method comprises the following steps: firstly, acquiring an original detection signal in real time by using a millimeter-wave radar carried by an unmanned aerial vehicle, establishing a track correlation sequence of each moving target, extracting interference waveform characteristics formed by signal coupling among a plurality of moving targets in the original detection signal, and then, according to a spatial distribution parameter of the interference waveform characteristics, determining a track correlation sequence of each moving target; correcting the space-time continuity judgment rule of the trajectory correlation sequence, and finally outputting an anti-interference cooperative tracking result based on the corrected space-time continuity judgment rule. According to the technical scheme provided by the invention, the industry pain point that waveform distortion interference of the millimeter wave radar in a dense target scene cannot be eradicated is solved, and the error correlation rate in a dense formation scene is also reduced.

The invention provides a vortex aircraft detection signal processing method and system based on optical fiber sensing. The method comprises the following steps: firstly, acquiring an original micro-vibration signal; secondly, performing environment self-adaptive cooperative processing on the original micro-vibration signal to generate a self-adaptive micro-vibration signal; converting the generated self-adaptive micro-vibration signal into a spatio-temporal evolution sequence based on eddy current physical characteristics; then analyzing the spatio-temporal evolution sequence to output a type discrimination result of the vortex aircraft; and finally, generating a customized detection report based on the type discrimination result. According to the technical scheme provided by the invention, the detection and identification capability of a low-altitude low-speed small target in a complex environment is improved, and reliable detection and identification of the vortex aircraft in the complex environment are also realized.

The invention discloses a coal fire area fracture active enhancement detection test system and method, and belongs to the technical field of mine safety and geophysical exploration, and the system comprises a fracture generation module which is used for simulating a heat-force-gas coupling condition of an underground coal fire area, and inducing a coal rock mass test piece to generate a fracture; the fracture detection module is used for synchronously acquiring multi-physics field data of the coal and rock mass test piece in real time; the fracture intervention module is used for injecting a natural medium simulant and an enhanced medium foam gel material into the fracture so as to simulate a real environment and enhance a detection signal; and the intelligent feedback and data fusion module is used for controlling operation parameters of each module, synchronously acquiring detection data, and performing fusion processing, intelligent inversion and four-dimensional visualization on the detection data to realize whole-process monitoring detection of fracture evolution. The invention provides a scientific method for precise delineation and targeted plugging treatment of hidden fractures in a coal fire area, and solves the problems of multiplicity of solution in traditional fracture detection and easy reburning in coal fire treatment.

The invention relates to a human motion data processing method, and belongs to the technical field of data processing. Comprising the following steps: controlling a microwave radar to emit a detection signal, and detecting a heart rate signal and a respiration signal of a human body; performing clustering analysis on the data according to the collected heart rate and respiratory rate, and extracting heart rate, respiratory rate change, duration and exercise intensity characteristics; according to the extracted heart rate change, duration, exercise intensity and other characteristics, the exercise stage is recognized, and according to the neural network model library, an energy consumption result is output in combination with data analysis. According to the human motion data processing method provided by the invention, the microwave radar is combined with the intelligent wearable device, so that the detection precision of heart rate and respiration signals is remarkably improved, multi-modal data fusion is realized, personalized heart rate prediction is performed, motion stage division is optimized in combination with acceleration data, and the accuracy of motion data processing is improved. The accuracy of motion mode recognition is improved, and personalized motion suggestions can be provided for the user.

The invention discloses a pattern recognition type metal pipeline anticorrosive coating quality detection device and system, belongs to the technical field of sensing monitoring, and aims to solve the problems of low detection precision and difficulty in positioning of damaged points of a metal pipeline anticorrosive coating under the interference of a complex environment. The method comprises the following steps: generating an environmental interference spectrum feature library through full-range frequency band pre-scanning, dynamically establishing a reference noise level, screening candidate frequencies of detection signals, and switching the frequencies as required to guarantee signal quality; synchronously acquiring a potential gradient and an electromagnetic radiation signal, and marking space-time coordinates; performing deep processing on the acquired signals, separating multi-frequency signals, correcting attenuation, and constructing a multi-dimensional feature vector; based on the feature vector, a space-time abnormal mode is extracted to position a damage point, through damage type classification, region area measurement and depth evaluation, the damage severity is quantified, accurate data support is provided for pipeline maintenance, and the accuracy and reliability of metal pipeline anticorrosive coating detection are effectively improved.

The invention relates to the technical field of integrated supply chain plan collaboration, and discloses an integrated supply chain plan collaboration intelligent decision-making method and system, and the method comprises the steps: decomposing a single prediction value into a commitment layer signal and an option layer signal, generating a differential signal, generating an agility index through issuing a periodic probe signal, and carrying out the calculation of the agility index; the method comprises the following steps: establishing an agility index of each option signal, calculating a collaborative entropy index based on the time value of each option signal, and finally, carrying out closed-loop dynamic adjustment on a decision activation threshold according to the agility index and the collaborative entropy index. Therefore, the problem of plan vulnerability caused by the fact that a traditional planning system depends on a single deterministic predicted value is solved, the whole collaborative system internally accommodates uncertainty at an information source, the operation stability of the collaborative system does not excessively depend on prediction accuracy any more, and mode conversion from passive prediction execution to active preparation response is achieved.

The invention discloses a while-drilling electromagnetic wave advanced detection sensitivity analysis method, and belongs to the field of oil-gas exploration and development. The method comprises the following steps: constructing a while-drilling electromagnetic wave advanced detection model, quantifying the influence of different measurement parameters on advanced detection signals, then analyzing the response characteristics of the advanced detection signals, extracting key sensitivity factors, and defining a single-parameter sensitivity function and a multi-parameter coupling sensitivity function; the sensitivity of advanced detection signals is qualitatively and quantitatively analyzed from the four angles of the distance to the interface, the formation resistivity, the interlayer and the stratigraphic dip angle, so that the while-drilling electromagnetic wave advanced detection range is optimized, and the adaptability in the well logging process is enhanced. And meanwhile, the advanced detection second-order sensitivity is approximately solved by adopting a central difference formula, influence factors suffered by advanced detection signals are analyzed from a numerical angle, the interaction of multi-parameter coupling is analyzed, and a scientific basis is provided for electromagnetic wave logging while drilling accurate inversion and instrument design.

A communication device outputs a probe signal from a power amplifier to the antenna and measures reflected impedance from the antenna resulting from the probe signal. The communication device classifies the reflected impedance measured from the antenna resulting from the probe signal as a select classification of multiple calibrated reflection classifications, wherein the multiple calibrated reflection classifications include variations in reflected impedance. The communication device adjusts the transmission signal in accordance with the select classification.

The invention relates to an optical time domain reflectometer and a control method of the optical time domain reflectometer, and relates to the technical field of photoelectricity. The optical time domain reflectometer OTDR comprises a single photon detector, and the OTDR is used for being connected with an optical fiber to be measured; the OTDR is further used for sending a plurality of detection signals to the optical fiber to be detected in sequence and receiving a plurality of detection echo signals from the optical fiber to be detected in sequence, and the detection echo signals are used for indicating the transmission state of the same section of transmission area in the optical fiber to be detected; performing amplitude reduction processing on each detection echo signal at a certain time interval to obtain a processed detection echo signal; the positions, corresponding to the same section of transmission area, of the signal sections subjected to amplitude reduction processing in the different processed detection echo signals are not completely the same; each processed detection echo signal is subjected to photoelectric conversion based on the single-photon detector to obtain a first electric signal, a first OTDR oscillogram is output based on the multiple first electric signals, and the first OTDR oscillogram is used for indicating the transmission state of the same section of transmission area. Therefore, the problem of OTDR curve distortion can be solved.

The invention relates to the field of building energy automation control, and discloses a building energy consumption optimization method based on artificial intelligence, which comprises the following steps: acquiring an energy loop state, generating a reference control instruction, superposing a detection signal of which the amplitude is lower than the upper limit of a mechanical dead zone, and sending the superposed detection signal to an execution mechanism; extracting a phase difference of the feedback response relative to the detection signal by using orthogonal correlation logic; according to the matching relation between the instruction gradient direction and the phase difference curvature evolution trend, an asymmetric damping rule is configured for a loop, and control parameters are corrected, the asymmetric physical characteristics of building thermal inertia are matched, phase mismatch between the instruction and physical response is eliminated, energy backflow and overshoot oscillation generated in the adjusting process are restrained, and the stability of the building thermal inertia is improved. Therefore, energy consumption adjustment is converted from oscillation approximation to smooth cut-in, and on-line identification of the deterioration state of the actuating mechanism is realized on the premise that hardware cost is not increased.

The invention relates to an anti-loose monitoring method for electric power fitting wire clamps, which comprises the following steps of: injecting a high-frequency probe signal into a preset conductor of a power transmission line serving as a sensing medium from a detection end, and receiving a reflected signal sequence generated by a plurality of electric power fitting wire clamps along the line due to discontinuous impedance; the round-trip time of each reflected signal in the sequence is analyzed to accurately position each wire clamp, and the reflection characteristics of the wire clamps are extracted to represent the real-time connection state. And comparing the real-time reflection characteristic with a pre-stored baseline reflection characteristic of the wire clamp in a fastening state, and determining that the wire clamp at the corresponding position is loosened when the difference between the real-time reflection characteristic and the pre-stored baseline reflection characteristic exceeds a preset threshold value. According to the invention, remote, passive and full-coverage monitoring of the fastening state of a plurality of electric power fitting wire clamps on a power transmission line can be realized, and the technical problems of low manual inspection efficiency and strong subjectivity, and high cost, difficult power supply, complex maintenance and the like of an online monitoring device in the prior art are solved.

The invention relates to the technical field of radiator monitoring, and particularly discloses a radiator heat dissipation performance dynamic test system, which is characterized in that a heat source simulation body is arranged on a heat transfer interface of a radiator, and a high-fidelity dynamic electric power load is applied to the heat source simulation body to simulate an actual working condition; radiating a microwave detection signal to a space where the heat source simulator is located and receiving a multi-path scattering response signal; the three-dimensional dielectric constant dynamic distribution of the heat source simulation body is reconstructed by solving the inverse scattering problem fused with the space-time constraint; according to the material dielectric constant-temperature relation mapping, three-dimensional temperature field dynamic distribution is generated; and finally, intelligently identifying and extracting a migration track and a temperature change curve of the highest temperature point in the space from the continuous time sequence temperature field data, and taking the migration track and the temperature change curve as a direct evaluation basis for the dynamic heat dissipation performance of the radiator. According to the method, lossless, full-field, real-time visualization and quantitative analysis of the migration process of the dynamic hot spots in the hidden heat source are realized, and the authenticity of the dynamic heat test is improved.

The invention provides an unmanned aerial vehicle control instruction trapping method and system based on a pseudo base station technology. According to the method, firstly, signal parameters and environmental electromagnetic noise characteristics of a real base station are collected, and a dynamic base station analog signal is generated and transmitted, so that the unmanned aerial vehicle initiatively initiates a detection signal; analyzing instruction coding characteristics in the detection signal to reconstruct a trapping control signal with protocol deception, and finally enabling the unmanned aerial vehicle to keep communication connection with the pseudo base station device and continuously transmit control instruction data by adaptively adjusting a protocol field parameter and a transmitting power parameter of the trapping control signal; according to the technical scheme provided by the invention, unmanned aerial vehicle counter-reconnaissance alarm caused by abnormal signal characteristics is thoroughly eliminated, and the concealment and reliability of an instruction trapping process are improved.

The invention discloses an on-line insulation monitoring system and method for a national railway vehicle, and relates to the technical field of on-line insulation monitoring, and the system comprises a detection signal injection module which is used for injecting a preset broadband active detection signal, and synchronously collecting a response signal set transmitted through a vehicle body grounding network; the fingerprint feature construction module is used for constructing network fingerprint features in a current insulation state; the spatial distribution atlas acquisition module is used for carrying out inversion calculation to obtain an admittance spatial distribution atlas of the whole vehicle; and the insulation abnormal area identification module is used for identifying an insulation abnormal area. According to the invention, the technical problems of long troubleshooting time and poor accuracy caused by incapability of online real-time monitoring of the insulation state of the vehicle body grounding network of the national railway vehicle and low abnormal area positioning precision in the prior art are solved, and online monitoring of the insulation state of the vehicle body grounding network of the national railway vehicle and accurate positioning of the abnormal area are realized. And the efficiency and the accuracy of insulation fault checking are improved.

The invention discloses a lossless detection mold and method for a rammed earth wall, and relates to the technical field of civil engineering and cultural relic protection. In order to solve the problem that in a traditional rammed earth wall nondestructive detection method, it is difficult to establish an effective corresponding relation between signal features and physical and mechanical parameters, the rammed earth wall nondestructive detection mold and method comprise the steps that rammed earth materials are prepared with reference to the soil texture of an ancient wall, and the rammed earth materials are filled into the rammed earth mold in a layered mode to prepare a wall-like test piece; carrying out nondestructive detection on the city-wall-like test piece by adopting a geological radar to obtain an oscillogram and a grey-scale map, and extracting a detection signal; sampling the city-wall-like test piece, carrying out a physical and mechanical test, and establishing a parameter database in which detection signal parameters are associated with physical and mechanical parameters; and finally, carrying out field detection on the ancient city wall, carrying out geological radar detection to obtain an actual detection signal, and matching the actual detection signal with the parameter database to obtain physical and mechanical parameter information of the ancient city wall. The method can effectively improve the accuracy of lossless detection of the rammed earth structure, and provides a scientific basis for ancient city wall protection.

The invention relates to the technical field of intelligent sound boxes, in particular to a Bluetooth sound box networking system and networking method based on the Internet of Things. The method comprises the following steps: acquiring spatial position distribution data of sound box equipment; according to the sound box equipment space position distribution data, each equipment is controlled to successively emit acoustic detection signals with a preset frequency, and room acoustic propagation characteristics are evaluated based on signal response intensity; comparing and analyzing the signal response intensities of different frequencies by using room acoustic propagation characteristics, and identifying room characteristic frequency distribution data; according to the room characteristic frequency distribution data, acoustic response amplitude differences of the loudspeaker box devices under different characteristic frequencies are detected. According to the method, a main path and standby path configuration strategy is introduced in the networking process, screening is carried out according to the equipment weight stability and hierarchical compliance, and the influence caused by faults such as link breakage and channel interference can be effectively reduced.

The invention relates to the technical field of measurement signal transmission, and discloses a measurement signal real-time transmission system in air-ground cooperative localization, which is characterized in that an environment signal fingerprint spectrum and a modulation depth spectrum representing environment modulation intensity are generated offline, and in a real-time stage, a mobile terminal sends a detection signal and attitude data of the mobile terminal; and the positioning correlator performs self-adaptive pre-normalization on the physical characteristics of the received signal according to the attitude data and the modulation depth map, and performs mode matching with the fingerprint map to determine the position. According to the invention, the superposition influence of the attitude change of the mobile terminal and the environmental reflection on the signal can be effectively separated; the problem that different positioning results are generated at the same position due to different flight attitudes is avoided, the system has the capabilities of signal time sequence verification and atlas timeliness diagnosis, and the measurement reliability and the system adaptability in a complex real environment are improved.

The invention relates to the technical field of geological exploration, discloses an ore body detection optimization method and system under a complex terrain, and aims to solve the problems of difficult layout, strong data interference, high multiplicity of solutions and insufficient detection precision under the complex terrain in the prior art. The method comprises the following steps: collecting high-precision digital elevation model data and extracting topographic feature parameters; fusing multi-source geological information to establish a spatial registration model; generating an optimal survey line layout based on topographic constraint conditions and dynamically configuring instrument parameters; correcting the original detection signal in real time; adopting a multi-constraint joint inversion algorithm to reconstruct an underground physical property structure and identifying mine-caused anomalies; and performing dynamic evaluation and parameter iterative optimization according to an inversion result and field verification data. The system comprises a topographic data acquisition and preprocessing module, a multi-source geological information fusion module, a detection parameter adaptive optimization module, a signal distortion real-time correction module, an intelligent inversion and anomaly recognition module and a strategy iteration feedback control module. According to the technical scheme, high efficiency, accuracy and low cost of ore body detection under complex terrains can be realized.

A system may include a light source, to generate a probe signal, comprising incident radiation; an optical probe, to direct the incident radiation through a fluid sample; a motor, to move the optical probe along a probe axis, to change a path length of the incident radiation through the fluid sample; and a detector, to receive the incident radiation as attenuated radiation after passing through the fluid sample. The system may include a control system, arranged to: initiate an absorbance measurement by directing movement of the optical probe along the probe axis; direct the light source to emit the incident radiation; and automatically adjust at least one measurement parameter of a set of measurement parameters for the sample measurement, based upon a slope parameter m, wherein m is derived from a rate of change in an intensity of the attenuated radiation with a change in the path length.

The invention provides a compensation method for asymmetric errors of a double-path weak measurement system and the double-path weak measurement system, which can be applied to the technical field of quantum measurement. The compensation method comprises the following steps: under the condition that wide-spectrum light passes through a double-path weak measurement system and the size of a signal which is weakly coupled with a weak coupling module is within a preset range, applying a square wave signal with a preset amplitude to a push-pull phase modulator, and performing binary detection by using an acquisition module to obtain four first detection signals; under the condition that the preset amplitude is not 0, determining a first error introduced by asymmetric loss of the double-path weak measurement system according to the corresponding four first detection signals; according to the four first detection signals corresponding to the square wave signal with the preset amplitude of 0 and the first error, determining a second error introduced by filter asymmetry of the double-path weak measurement system; according to the first error and the second error, asymmetric error compensation is carried out on the response formula, and it is ensured that the double-path weak measurement system has high sensitivity and stability.

The invention discloses a spatial orthogonal differential eddy current probe based on magnetic flux directional extraction and a detection device, the probe is formed by vertically arranging four groups of excitation coils and detection coils with the same parameters in a rectangular-ambulatory-plane manner to form two groups of differential coils; differential signals are taken during detection, if double peaks appear, the defect is judged, the center of the double peaks is the defect position, the amplitude difference delta Vpp is equal to the depth d, the speed v meets the conditions that d = kd * delta Vpp + bd and delta Vpp = kv * v + bv, the array probe works independently, and through real-time calculation of a multi-channel A / D and an FPGA, cracks with the width of 0.5 mm and the positioning error lt can be detected at the speed of 2 m / s under the lift-off of 0.5 mm; 2 mm, the depth error lt; compared with a traditional probe signal, the signal is improved by 3.3 times, the support can be fixed or held by hand, and the device is suitable for online nondestructive testing of metal plates and pipelines.

The invention relates to the technical field of smart power grids, in particular to a detection signal design method and device for multi-injection-point and multi-load-node identification, and the method comprises the steps: calculating the static sensitivity of a plurality of to-be-identified load nodes corresponding to each target equipment injection node in a plurality of target equipment injection nodes based on steady-state operation data, establishing a detection signal optimization model taking a reactive detection signal as a decision variable by taking the total minimum load model parameter identification error of a plurality of to-be-identified load nodes as a target and combining static sensitivity, and introducing reactive energy constraints and signal structure constraints of a plurality of target equipment injection nodes and solving; generating an optimal reactive power detection signal waveform of each target equipment injection node, performing evaluation by using a target evaluation index, when an evaluation result meets a preset constraint condition, injecting the optimal reactive power detection signal waveform into the system, and after a response is generated, performing identification on a load model parameter by using the response, and obtaining an identification result of each load node to be identified.

Methods, systems, and devices are disclosed for generating a battery charging signal. A method includes generating an initial waveform having a voltage curve and a current curve, wherein the initial waveform includes a leading edge portion characterized by a leading edge parameter, a body portion characterized by a body parameter, and a rest portion characterized by a rest parameter. By comparing leading edge phase shifts and body phase shifts to leading edge thresholds and body thresholds, an adjusted leading edge, body, and rest parameters may be determined and saved for use in generating subsequent waveforms. A method of charging a battery includes charging a battery using a constant current mode, probing the battery with a probing signal and receiving a response signal from the battery, determining a resonance frequency from the response signal, and constructing a charging waveform based on the resonance frequency.

The invention discloses a millimeter-wave radar respiration monitoring method and device based on a gated attention wavelet network, and the method comprises the steps: a millimeter-wave radar sends a detection signal to a human body target, receives an echo signal returned by the human body target, converts the echo signal into two paths of orthogonal lacing signals, and carries out the sampling and combination of the two paths of orthogonal lacing signals into a complex baseband signal; fourier transform is carried out on the fast time dimension of the complex baseband signal to obtain a one-dimensional distance image, a distance unit with the maximum average energy in the one-dimensional distance image is selected as a distance unit where the human chest is located, and a continuous phase of the distance unit where the human chest is located is extracted; inputting the continuous phase of the distance unit where the human body is located into a time gating attention encoder to obtain a phase after primary interference suppression; inputting the phase after the primary interference suppression into a frequency gating attention decoder, and reconstructing a pure respiration waveform; fourier transform and band-pass filtering are conducted on the pure breathing waveform, and the frequency where a peak value is located serves as the estimated breathing frequency. The method is higher in accuracy.

The embodiment of the utility model provides thin film cutting equipment which is used for removing a thin film covering a wafer, the wafer is provided with a notch mark, and the thin film cutting equipment comprises a carrying table for carrying the wafer; the laser is arranged above the carrying table and emits a detection light beam to the first end face of the thin film; the detector is arranged above the carrying table and is used for receiving a reflected light beam reflected by the first end surface of the thin film and generating a detection signal; the first cutting tool is arranged above the carrying table and used for cutting the thin film located on the notch marks, the first cutting tool is provided with a plurality of cutters, the cutters are independently controlled, and the shape of the cutting part of one cutter corresponds to the shape of one notch mark; the processor is electrically connected with the laser, the detector and the first cutting tool and determines the shape of the notch mark covered by the film, and the shape of the notch mark is determined based on the light intensity value represented by the detection signal. By adopting the technical scheme, the cleanliness of the notch mark can be improved.

The invention relates to the technical field of photoacoustic measurement, and particularly provides measuring equipment and a frequency estimation method and a denoising method of equipment noise therein, the frequency estimation method comprises the following steps: controlling pump light and probe light to irradiate a first sample to be measured, the pump light generating ultrasonic waves on the surface of the first sample to be measured, the detection light is reflected by the surface of the first to-be-detected sample to form first detection signal light; acquiring a first photoacoustic time domain signal formed by the first detection signal light; removing a non-noise signal and a random noise signal in the first photoacoustic time domain signal to obtain a first time domain noise signal; performing time-frequency transformation on the first time-domain noise signal to obtain a first noise spectrum; and determining the frequency of the equipment noise according to the spectrum amplitude of the first noise spectrum. Thus, the device noise in the photoacoustic signal can be removed in a targeted manner according to the frequency of the device noise subsequently, and compared with a traditional overall noise removal manner, the signal-to-noise ratio and the measurement sensitivity can be improved.

The invention provides an EMD (empirical mode decomposition) and correlation analysis-based double-probe vortex shedding flowmeter anti-interference method, which relates to the technical field of signal processing, and is characterized in that a vortex shedding sensor signal sequence containing periodic vibration interference is decomposed into multi-scale IMF components through self-adaptive characteristics of an EMD method, and spectrum components of a flow signal and vibration noise are accurately separated. According to the method, aiming at the non-stable and multi-band coupling characteristics of double-probe signals, the vibration noise interference under the complex vibration interference of an industrial field is effectively solved, and the environmental adaptability of noise suppression is remarkably improved. According to the method, on the basis that the advantages of self-adaptive decomposition are reserved, the IMF component series is dynamically controlled, that is, only the IMF components of the first four stages are taken, redundant calculation caused by over-decomposition is avoided, and the real-time performance of the system is guaranteed. An upper probe signal is introduced to serve as a reference channel, interference components are removed through a correlation analysis method, the complexity of a blind source separation algorithm is reduced, and meanwhile the method has higher detection precision and stability.

The invention provides a fluorescence probe signal calibration method and system for rapid detection of multiple residues in a complex matrix, and the method comprises the steps: collecting a fluorescence signal of a to-be-detected sample, and analyzing the original concentration, the fluorescence average lifetime and the fluorescence peak emission wavelength of the to-be-detected sample from the fluorescence signal; calculating a life deviation between the fluorescence average life and a preset reference life, and a wavelength deviation between the fluorescence peak emission wavelength and a preset reference wavelength; calculating to obtain a signal fidelity index based on the life deviation and the wavelength deviation; according to a preset threshold interval in which the signal fidelity index falls, a corresponding calibration strategy is determined, and the calibration strategy is one of non-calibration, calibration execution or invalid marking; and when the calibration strategy is to execute calibration, calculating a total calibration factor based on the life deviation and the wavelength deviation, calibrating the original concentration by using the total calibration factor, and outputting the calibrated concentration.

The invention relates to the technical field of oil-gas exploration, in particular to a micro-amplitude structure seismic exploration detection method and system based on pre-stack depth migration, and the method comprises the steps: generating an equivalent speed model set, calculating speed uncertainty data, probabilistically detecting a micro-amplitude structure, and fusing and displaying a result. Compared with the prior art that an absolutely correct speed model is blindly pursued, but the influence of model errors on tiny structure recognition cannot be overcome finally, the method has the advantages that the speed model errors are converted into valuable detection signals from interference needing to be minimized; by actively generating multiple sets of global equivalent speed models and analyzing the uncertainty of the speed models, the most unstable areas in the modeling process become direct evidences for indicating the existence of the micro-amplitude structure, normal form transfer from error elimination to error utilization is realized, and the detection capability of the micro-amplitude structure is remarkably improved.

The invention discloses an impedance matching method and system for chip testing, electronic equipment and a medium, and relates to the technical field of data processing. The method comprises the following steps: establishing electrical connection between a test probe and a to-be-tested chip test point, and sending a preset detection signal; acquiring incident power and reflection power of the detection signal; calculating a first signal reflection coefficient based on the incident power and the reflection power, and determining an impedance deviation value and an adjustment direction according to a difference value between the first signal reflection coefficient and a preset standard reflection coefficient; determining a parameter adjustment step length according to the impedance deviation value; sequentially adjusting a variable resistor, a variable capacitor and a variable inductor in the impedance matching network according to the step length and the adjusting direction; detecting a second signal reflection coefficient when the impedance real part and imaginary part of the variable element reach the target range; and judging whether the second signal reflection coefficient converges to a preset range, and if yes, taking the current matching network parameter as an impedance matching result. By implementing the technical scheme provided by the invention, the impedance matching accuracy of the chip test can be improved.