1459 results about "Probe signal" patented technology

The invention relates to the technical field of probe testing, and discloses a probe testing device and method, and the method comprises the steps: carrying out the synchronous collection of the electric signal response characteristics of a plurality of chip testing probes in a chip contact process, analyzing the signal transmission interference relation between the probes, and obtaining a multi-probe signal coupling feature pattern; identifying a target signal transmission channel to obtain a first test probe configuration scheme; performing test signal input and response acquisition on the chip to obtain electrical characteristic time-frequency data of the chip; and performing multi-probe collaborative analysis and feature extraction on the time-frequency data of the electrical characteristics of the chip to obtain abnormal indication information of the electrical performance of the chip, and adjusting test parameters and contact positions of a plurality of chip test probes to obtain a configuration scheme of a second test probe. Therefore, the test system can intelligently adjust the subsequent test strategy according to the preliminary test result, and the intelligence and automation of the test process are realized.

The invention provides a multi-sensor fusion unmanned aerial vehicle detection method and system, and the method comprises the steps: receiving data streams of all sensors, obtaining a comprehensive perception information set, carrying out the analysis of the comprehensive perception information set through a deep learning model, and generating dynamic target behavior mode data, the method comprises the following steps: carrying out signal quality optimization by applying a method of combining an adaptive noise cancellation technology and a machine learning optimized filter, generating an optimized detection signal, carrying out flight path prediction through a predictive analysis algorithm, generating predicted flight path data, processing a comprehensive perception information set by utilizing a distributed edge computing framework, and carrying out flight path prediction. The deep learning model is optimized through a federated learning mechanism, an optimized detection strategy is generated, and an updated detection process is generated based on the predicted flight path data and the optimized detection strategy; according to the technical scheme provided by the invention, the accuracy of target identification is enhanced, the high quality of the signal is ensured, the detection capability under a low-visibility condition is ensured, and quick response is realized.

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 relates to the technical field of optical signal processing, in particular to an optical signal processing algorithm based on biological agent fluorescence detection, which comprises the following steps: S1, collecting fluorescence signals with different wavelengths emitted by each probe, and generating a multi-channel fluorescence spectrum data set; s2, carrying out spectral de-mixing on the fluorescence signals in the fluorescence spectrum data set, separating a plurality of overlapped fluorescence signals, and decoupling the fluorescence signals with different wavelengths; s3, for highly overlapped fluorescence signals, carrying out secondary overlapping separation treatment on the fluorescence signals by using a nonlinear optimization method; s4, extracting the intensity, wavelength and time change characteristics of each fluorescent probe signal, and constructing a multi-dimensional fluorescent signal characteristic vector; and S5, by amplifying the characteristic peak value of the weak fluorescence signal, it is ensured that the signal is not covered by strong signals of other probes in multi-probe detection. According to the invention, the resolution of fluorescence detection is improved, so that the high-precision detection effect can be maintained under complex experimental conditions.

The invention provides an unmanned aerial vehicle full-band countering method and system based on acousto-optic-electric composite detection. According to the invention, through synchronous cooperative detection of sound wave sensing, optical imaging and electromagnetic spectrum analysis, a composite detection signal is generated; based on the relevance between the acoustic characteristic frequency band and the electromagnetic control frequency band, extracting the working mode characteristics of the unmanned aerial vehicle and generating dynamic interference parameters; generating a synchronous interference instruction according to the time domain modulation characteristic of the dynamic interference parameter; in combination with abnormal noise distribution characteristics captured by the acoustic module and flight path offset identified by the optical module, power distribution and frequency band coverage of the interference instruction are corrected in real time, and optimized interference parameters are generated; and finally, a dynamic interference map is generated through overlapping frequency spectrum fusion of the dynamic interference parameters and the optimized interference parameters, accurate cooperative suppression is realized, full-band real-time accurate suppression of navigation, communication and power control signals of the target unmanned aerial vehicle is realized, and the countering efficiency in a complex scene is remarkably improved.

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.

A fiber-optic network that uses as a hybrid telecommunication and sensing system when telecommunication signals and probe signals are transmitted across a shared fiber strand in either a co-propagated or counter-propagated direction is disclosed. Probe signals generated by a sensing termination system and / or by one or more end devices are used to analyze conditions affecting network hardware and / or events occurring within the fiber distribution area.

The invention discloses an ultra-deep underground pipeline detection method and device, a storage medium and a program product, and the method comprises the steps: transmitting a multi-frequency electromagnetic wave signal, receiving an acoustic response generated by the multi-frequency electromagnetic wave signal, and determining an underground geological structure in combination with a preset geological material frequency spectrum database. A composite detection signal is generated by simulating an underground propagation path of a multi-frequency electromagnetic wave signal and performing phase adjustment and power adjustment. And finally determining position information and depth information of the pipeline in the generated underground structure image by transmitting a composite detection signal and processing a return signal by using a time reversal mirror technology. According to the method, multi-frequency electromagnetic wave signals, acoustic response analysis, geological material characteristics and signal processing technologies are comprehensively utilized, and the precision and reliability of ultra-deep underground pipeline detection can be effectively improved.

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 a method and a device for probing a subsurface structure. The method comprises the steps of (a) sending a probe signal as an electromagnetic wave into the structure. (b) receiving an echo signal of the electromagnetic wave from the structure, and (c) processing the echo signal for deriving information about the structure. The step (c) of processing the echo signal comprises sampling the echo signal at a sampling frequency fs. The probe signal comprises multiple discrete frequency components fn,k, wherein at least two of the multiple frequency components fn,k are located in different Nyquist zones. An n-th Nyquist zone covers a frequency range from (n−1)*Tfs / 2 to n*fs / 2 with fs being the sampling frequency and n=1, 2 . . . . Further, k=1 . . . K and K is the number of frequency components fn,k in the n-th Nyquist zone. The method and device facilitate an increase in data acquisition speed without losing information on any of the frequency components.

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 is suitable for the technical field of radars, and provides a radar control method and device, terminal equipment and a computer readable storage medium, and the method comprises the steps: determining a target receiving channel according to echo signals received by each receiving channel; wherein the target receiving channel is a receiving channel of which the received echo signal is an echo signal reflected by a high-reflection object; adjusting a transmitting channel group according to the target receiving channel; wherein the transmitting channel corresponding to the target receiving channel and the transmitting channel corresponding to the non-target receiving channel are located in different transmitting channel groups; and controlling the transmitting channels to re-transmit the detection signals according to the adjusted transmitting channel groups. The transmitting channel corresponding to the target receiving channel and the transmitting channel corresponding to the non-target receiving channel separately transmit the detection laser, so that crosstalk of high-energy reflection echoes generated by a high-reflection object to reflection echoes of a non-high-reflection object can be effectively reduced, and the detection accuracy of the laser radar is improved.

The invention relates to the field of production quality detection, and provides a production defect identification method and system for a metal rubber composite board, and the method comprises the steps: carrying out the time domain semantic feature extraction of each ultrasonic echo detection signal in a set of ultrasonic echo detection signals through employing a signal processing and analysis technology based on deep learning; and automatically judging whether the first scanning position data is abnormal or not according to the ultrasonic echo detection signal semantic feature corresponding to the first scanning position data in the scanning position data set and the query comparison between each ultrasonic echo detection signal semantic feature. Therefore, tiny internal defects which cannot be touched by traditional optical or contact detection in the metal rubber composite plate can be detected, and the detection accuracy can be improved by performing defect detection through a deep learning technology.

The invention relates to the technical field of mine safety monitoring, and discloses a mine safety monitoring information acquisition system and method, and the method comprises the steps: collecting dynamic parameters through an environment sensor, and adding a digital signature with a unique identifier for a data packet; when the threshold value is exceeded, the deformation measuring device is activated to scan the target area, and the instruction comprises a timestamp and an identity credential. Detection signals and vibration data are synchronously collected and encrypted; a rock mass state model is generated; deformation information is calculated and safely stored; multi-source data cross validation is carried out to improve the measurement accuracy; through the intelligent and automatic monitoring method, the real-time performance and accuracy of mine safety monitoring data can be effectively improved, and the influence of human factors on data acquisition is reduced. By combining high-precision deformation measurement and signal analysis technologies, potential dangerous areas can be quickly and accurately identified and positioned, and timely and effective early warning can be provided for mine operating personnel.

The invention relates to a foreign matter detection wireless charging method, apparatus and device, and a storage medium. The method comprises the following steps: monitoring charging data of a target charging panel to a to-be-charged device based on a second detection signal; if the charging data is abnormal, identifying whether a metal foreign matter exists in the target charging area based on the second detection signal and the first detection signal; based on the target charging area image, identifying whether a non-metal foreign matter exists in the target charging area; if the target charging area has the metal foreign matter and / or the non-metal foreign matter, performing charging danger degree analysis on the target charging area based on a second detection signal corresponding to the metal foreign matter and the first detection signal and / or the target charging area image to obtain a danger coefficient; and obtaining a safety response strategy based on the danger coefficient, thereby solving the technical problem of how to quickly and accurately detect various types of foreign matters on the premise of not influencing the charging efficiency.

A system for radar interference mitigation, preferably including one or more transmitter arrays, receiver arrays, and / or signal processors, and optionally including one or more velocity sensing modules. A method for radar interference mitigation, preferably including transmitting a set of probe signals, receiving a set of reflected probe signals, and / or evaluating interference, and optionally including decoding the set of received probe signals and / or compensating for interference.

The invention discloses an intelligent survey system and method for deep-sea middle-layer fish resources. According to the method, terrain detection signal data of a target water area and fish resource detection signal data of a target water layer are obtained through multi-beam sonar equipment, and the fish school distribution condition of the target water layer is determined accordingly. A target water area three-dimensional terrain model is constructed by using terrain detection signal data, and an underwater robot cruising strategy is determined by combining fish school distribution. And the underwater robot obtains fish school image data according to the strategy, identifies fish types and numbers to obtain fish resource data, and finally transmits the data to a water surface control center through an underwater sound wave communication technology. Intelligent and efficient investigation of deep-sea middle-layer fish resources is achieved, powerful support is provided for deep-sea fishery resource research and development, and wide application prospects and important practical significance are 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.

The invention relates to the field of geological detection of coal mine advanced detection drilling, in particular to an active and passive combined vibration detection method for drilling geology, which comprises the following steps of: recording the drilling depth during drilling while drilling in coal mine advanced detection drilling, and collecting a vibration signal generated by rock breaking of a drill bit as a passive detection signal; the lithology of a drilling point of the drill bit is analyzed according to the passive detection signal, and the lithology of a drilling section is determined according to the drilling depth; shock waves are excited in a gap controllable source excitation pipe of a continuous drill rod, reflected waves are collected to serve as active detection signals, and the geological breaking grade around a drilling section hole is analyzed according to the active detection signals; determining the collapse state of the drilling section based on the lithology of the drilling section and the geological fracture grade around the hole; and based on the collapse state, determining the risk levels of drill holding and drill breaking of the drill rod of the drilling section, and performing early warning according to the risk levels. According to the method, the drill holding and breaking conditions can be judged in real time in the drilling process, normal drilling construction is guaranteed, the drilling depth is increased, and the probability that drilling machine equipment is damaged is reduced.

The invention discloses a weak measurement sensing method, device and system based on a coherent state. Local oscillation light and coherent state signal light are obtained. And inputting the signal light into the weak measurement unit by taking a coherent state as a pointer state based on a to-be-measured signal to obtain a quantum state of the signal light. The carriers selected by the weak measurement system are enriched, and the application range of the weak measurement technology is expanded. Heterodyne detection is carried out on a quantum state by using local oscillation light, and secondary amplification is carried out on a signal to obtain a detection result, so that high-sensitivity sensing on a tiny signal is realized. And acquiring the variation of the to-be-detected signal based on the detection result, and calculating to obtain a detection signal according to the variation. According to the invention, high-sensitivity detection is carried out on tiny physical quantities by adopting quantum resources, the application of a quantum sensing technology on the premise of high measurement precision is supported, and the advantages of the quantum resources are fully exerted.

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 discloses a system and a method for directly adjusting optical power stability by using an anti-phase power detection signal. The system comprises a laser emitting device, a detection device and an adjustment driving device, the laser emitting device emits laser and outputs laser with stable optical power, and the detection device detects the laser and outputs a power detection signal; and the adjustment driving device determines an optimal anti-phase gain parameter through the power detection signal and directly adjusts the laser. The system has the advantages of simple and stable structure, quick response and easy parameter adjustment, the reference voltage is used as the reference voltage in the method, the power stability effect can be effectively improved, an open-loop control structure is used, the stability effect better than that of closed-loop control can be achieved, and the system is suitable for large-scale popularization and application. And finally, optimal parameters can be determined, so that the system adapts to changes of an external environment and can be applied to the fields of precision measurement and laser precision machining.

The invention provides a laser gas telemetering system capable of eliminating the influence of distance change, and aims to solve the problem of inaccurate concentration detection caused by different intensity and receiving quantity of optical signals received by a detector when the telemetering system is in different telemetering distances. Optical signals of different telemetering distances are converted into electric signals meeting detection requirements by automatically regulating and controlling the photoelectric conversion gain multiple, and the core is a pre-amplification circuit capable of regulating and controlling the gain multiple and an automatic gain control algorithm. A photoelectric conversion chip OPA380 and a multiplexer MAX4638 are selected to form the pre-amplification circuit capable of regulating and controlling the gain multiple, and the pre-amplification circuit is provided with eight different gain regulation and control gears. According to the automatic gain control algorithm, detection signals are identified and judged according to the voltage amplitude after photoelectric conversion, and the gain multiple of the pre-amplification circuit is regulated and controlled in real time. According to the invention, the detection accuracy can be improved, and guidance is provided for field application of the mobile telemetering system.

Provided is a qubit state reading apparatus including a probe signal provider configured to provide a probe signal to a qubit and a readout module configured to receive a qubit signal output from the qubit to which the probe signal is provided and read a state of the qubit, in which the readout module includes a local oscillation (LO) signal generator configured to generate an LO signal, a mixer configured to down-convert the qubit signal using the LO signal, an accumulator configured to accumulate output signals of the mixer, and a comparator configured to compare an output signal of the accumulator with a threshold and output a signal corresponding to the state of the qubit, and the readout module down-converts the qubit signal and the LO signal in a homodyne manner.

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 provides a moving trajectory adjustment method and device and a storage medium, relates to the technical field of communication satellites, and can adjust the moving trajectory of a communication satellite according to the content of a first signal so as to avoid a flying object on an original moving trajectory. The operation of manual intervention is omitted, the communication satellite can autonomously avoid the flying object, and the communication satellite can effectively avoid the flying object in the first time in case of emergency. The method comprises the following steps: receiving a first signal, wherein the first signal comprises a signal obtained by reflecting a detection signal emitted by a communication satellite by a flying object and / or detection signals of other communication satellites; wherein the flying object and the communication satellite are in the same moving track; and adjusting the moving trajectory of the communication satellite according to the first signal.

The invention relates to the field of radar detection methods, and discloses a microwave photon multiband radar detection method, which comprises the following steps: generating detection signals of multiple bands based on a microwave photon method, transmitting the detection signals to a target, and then carrying out dechirp processing and digital signal processing on target reflection signals to obtain a target detection result. The method specifically comprises the following steps: generating a fundamental frequency signal through a user-defined bit sequence generator, a pulse generator and an electric frequency modulator, adjusting the central wavelength and bandwidth of a signal waveform by the electric frequency modulator, amplifying the power of the fundamental frequency signal by a certain multiple through an electric power amplifier, and modulating by a distributed feedback semiconductor laser, a plurality of sidebands with equivalent power are generated by the spectrum of the optical fiber, a modulated fundamental frequency signal is input into the photoelectric detector through the optical fiber, and then the modulated fundamental frequency signal is amplified by the electric low noise amplifier to generate a multi-band frequency modulation signal. And the multifunctional detection capability of the radar system can be realized.

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.