4387 results about "Detector" patented technology

The invention relates to a calibration method of an ultrasonic flaw detector calibrating device, which comprises the following steps of: acquiring and transmitting ultrasonic waves of which the frequency is matched with the theoretical frequency of a material to be detected, acquiring and dynamically correcting the actual propagation path of the ultrasonic waves in real time, generating a calibration parameter of a frequency-delay compensation coefficient, and compensating the transmitted ultrasonic waves based on the calibration parameter. After the compensated ultrasonic waves enter a to-be-detected material, time-base line signals are collected and input into the trained deviation calculation model to calculate time axis scale deviation, time-base line linearity is adjusted based on the time axis scale deviation, stepped ultrasonic attenuation signals are generated, echo signal amplitude values of the flaw detector are collected, and the amplitude values of the echo signals of the flaw detector are calculated. And comparing the echo signal amplitude value with a preset amplitude threshold value to obtain a dynamic difference value of the two, and adjusting the attenuation amount in real time based on the dynamic difference value. The problems of insufficient calibration efficiency and consistency, poor dynamic parameter adaptability, limited sensitivity calibration precision and complex working condition simulation capability in the prior art are solved.

The invention discloses an online multi-channel rapid gas chromatographic analysis system and method, particularly relates to the technical field of gas chromatographic analysis, and is used for solving the problems of baseline noise rise and trace component detection precision reduction caused by physical coupling and signal interference when multiple detectors work in parallel in the prior art. Interference signal features of adjacent detection channels are extracted, a chaotic or linear compensation signal is dynamically generated in combination with harmonic primary and secondary sorting and recursive quantization factor analysis, and common-mode interference of a target channel is suppressed. Electromagnetic isolation parameters of a shielding structure are adjusted in real time based on the baseline signal after noise suppression, and accurate matching of impedance and interference spectrum is achieved; further separating time domain overlapped signals and analyzing asymmetric distortion characteristics, and eliminating system errors through normalization calibration; dynamic interference suppression, electromagnetic shielding optimization and signal distortion traceability are combined, the anti-interference capability and analysis precision of multi-channel detection are remarkably improved, and the method is suitable for high-throughput rapid detection scenes of complex samples.

Systems and methods describe providing deep learning-based detection of gravitational waves. In one embodiment, the system: trains a deep learning classifier using a first set of waveform data from GW detectors; applies the trained deep learning classifier to a second set of waveform data to identify candidate GW signals; generates an SNR ranking statistic from the output of the trained deep learning classifier; determines SNR rankings of the candidate GW signals using the generated SNR ranking statistic; evaluates the compatibility between candidate GW signals from different detectors by comparing arrival times and parameters of the candidate GW signals; estimates a plurality of detection significance scores associated with the candidate GW signals by analyzing clusters of identified candidate GW signals that pass or fail the compatibility evaluation; and outputs at least a subset of the identified GW signals based on their SNR rankings and detection significance scores.

The invention discloses a grounding loop resistance detection and fault location method and system fused with edge calculation, and relates to the technical field of grounding detection, and the method comprises the steps: carrying out the key node analysis of a grounding loop, deploying an edge calculation unit, configuring a mapped monitoring sensor, and carrying out the fault location of the grounding loop; comprising a high-frequency transient traveling wave detector, a broadband impedance spectroscopy measurement sensor and a synchronous clock unit, during the normal operation period of a power grid device, a monitoring sensor is used for monitoring, time synchronization alignment of a monitoring data set is carried out, a continuous situation field of a grounding loop is reconstructed through interpolation of an edge calculation unit, and the continuous situation field is constructed based on three-dimensional fault features; and monitoring the power grid device in real time by using a monitoring sensor, executing fault source inversion based on a real-time monitoring result and a continuous situation field in combination with local height gradient features and extreme region features, and establishing a fault positioning result. Therefore, the technical effects of reducing response delay, optimizing load distribution and improving fault positioning precision are achieved.

The invention discloses a defect identification system of an ultrasonic flaw detector, and relates to the technical field of nondestructive testing, the system comprises a signal acquisition and preprocessing module, a defect feature identification module, a physical modeling analysis module, a life prediction and evaluation module and an intelligent decision visualization module; the signal acquisition and preprocessing module adopts a multi-frequency-point phased array transducer array, obtains an original signal through low-noise amplification, band-pass filtering and analog-to-digital conversion, and outputs a time domain signal matrix through adaptive noise reduction and gain compensation processing; the multi-frequency-point phased array transducer array and the advanced signal processing technology are integrated, the defect recognition precision and efficiency are remarkably improved, the system obtains high-quality original signals through low-noise amplification, band-pass filtering and analog-to-digital conversion technologies at first, then the high-quality original signals are subjected to self-adaptive noise reduction and gain compensation processing, and the defect recognition accuracy is improved. The background noise interference is effectively eliminated, and the purity of the signal is ensured.

Disclosed are systems and methods including software processes executed by a server that detect audio-based synthetic speech (“deepfakes”). Embodiments implement a machine-learning architecture having a diffusion model that generates purified features that are fed to a deepfake detection model. The machine-learning architecture includes input layers that convert an audio signal into a Gaussian or frequency space representation (e.g., log spectrogram) to extract a set of initial features indicative of spoofing or deepfake attacks. The diffusion model identifies adversarial noise on the audio signal in the initial features and generates purified features or clean version of the input audio signal. A deepfake detector includes a neural network architecture and classifier programmed and trained to generate a deepfake detection score and classify the audio signal as genuine or fraudulent using the purified features.

The invention relates to the technical field of hydrogen production, in particular to a quick response system of a double-probe hydrogen leakage explosion detector and a grading early warning method. Comprising a first hydrogen concentration detection probe and a second hydrogen concentration detection probe which are respectively arranged at two different positions of a monitored area to form a space complementation detection network; the signal processing unit is electrically connected with the two probes and is used for receiving and processing the concentration signals output by the probes; the quick response control module is used for calculating the hydrogen concentration change rate in real time based on an output result of the signal processing unit; the grading early warning module is used for generating different grades of early warning signals according to the hydrogen concentration change rate and the absolute concentration value; the communication interface module is used for transmitting the early warning signal to a remote monitoring terminal; the multi-physical-field parameter change of the electrolyte can be sensed in real time, the control instruction is dynamically corrected, and the anti-interference capability is high.

Embodiments include a system for material detection and identification. The system may include an RF transmit device configured to transmit into an environment an RF signal at a resonance frequency. The system may also include an RF receiver device configured to receive a response signal from the environment. The system may further include a communication device connecting the RF transmit device and the RF receiver device. The communication device may include a control module. The system may include a geolocation device. The control module may be configured to receive geolocation data from the geolocation device, analyze the response signal for resonance characteristics that indicate a presence of a material, and identify the material to a user when the presence of the material is indicated by the resonance characteristics. Methods for material detection and identification are also described. Methods may involve obtaining geolocation data.

The invention provides a partial discharge on-line monitoring method and system based on multi-modal fusion and adaptive noise reduction, and the method comprises the steps: employing an ultrahigh frequency UHF sensor, a miniature ultrasonic sensor, and a miniature detector for gas dissolved in oil, which are disposed on a transformer; synchronously acquiring electric signals, sound signals and characteristic gas concentration data in oil generated in the partial discharge process; performing format unification, abnormal value elimination and time alignment processing on the electric signal, the sound signal and the gas concentration data in an edge calculation unit to obtain aligned multi-source original data; performing adaptive wavelet noise reduction processing on the electric signal to obtain a de-noised UHF signal; respectively extracting time domain, frequency domain and chemical features from the de-noised UHF signal, the aligned sound signal and the gas concentration data to form a multi-dimensional feature vector; and inputting the multi-dimensional feature vector into a pre-trained defect traceability model, and outputting a partial discharge defect type, severity level and development trend prediction result.

The invention relates to the technical field of tunnel fire detection, and provides a rapid tunnel moving fire detection method, which comprises the following steps of: calculating signals received by sensors in parallel by an intelligent algorithm, extracting undistorted characteristic signals in time, and combining data from a plurality of sensors through a data fusion technology; false alarms possibly generated by a single sensor are reduced, so that the fire detection accuracy is improved, and the time from fire occurrence to alarm giving is shortened; by fusing data of a plurality of sensors, the system is more robust to faults or abnormities of a single sensor, and the stability and reliability of the system are improved; the intelligent algorithm can be combined with the time domain oscillogram of a plurality of detectors, space and time information can be extracted in time, the specific position of the fire can be positioned more accurately, and fire extinguishing measures can be taken quickly.

A barrier operating system includes a barrier operator configured to emit a charging signal and configured to open and close a movable barrier. The system also includes a wireless obstruction detection system comprising: a transmitter detector and a receiver detector. The transmitter detector includes a battery; a transmitter configured to transmit an IR beam; a communication module in wireless two-way communication with the barrier operator; and an energy harvester configured to receive the charging signal and direct power to the battery of the transmitter detector. The receiver detector includes a battery; a receiver configured to receive the IR beam from the transmitter; a communication module in wireless two-way communication with the barrier operator; and an energy harvester configured to receive the charging signal and direct power to the battery of the receiver detector.

The invention relates to the field of water quality parameter detection, in particular to a full-spectrum water quality multi-parameter analysis detector which comprises a full-spectrum acquisition module, a preprocessing module, an information processing module and an application module. The full-spectrum acquisition module is used for transmitting a full-spectrum signal to a detection sample, detecting transmission light and scattered light signals and generating original spectrum data; the preprocessing module is used for preprocessing the original spectrum data by adopting an edge calculation mode to obtain a standardized spectrum matrix; the information processing module is used for calculating the actual concentration value of each impurity in the detection sample according to the standardized spectrum matrix; according to the method, the influence relation between different types of impurities is introduced, compared with a common prediction method, the prediction precision of the concentration of each impurity is higher, whether early warning is needed or not is judged according to the prediction precision, and the situation of misjudgment is avoided.

The invention provides an active regulation and control device for a microwave resonant cavity based on Rydberg atoms. The microwave resonant cavity comprises a protective shell, an atomic gas chamber and a photoelectric detector, the active regulation and control device comprises a PID control module and piezoelectric ceramics, the PID control module is used for processing a received EIT transmission spectrum signal after generating a modulation signal to carry out atomic resonant frequency scanning on the atomic gas chamber, obtaining a target resonant frequency through a current feedback zero crossing point corresponding to an EIT transmission spectrum valley bottom value, and generating a deviation correction signal; and the piezoelectric ceramic is used for adjusting the length of a protective shell of the microwave resonant cavity according to the received correction signal, so that the atomic resonant frequency is locked as the target resonant frequency. The invention further provides an active regulation and control method for the microwave resonant cavity based on the Rydberg atoms. According to the invention, the resonant frequency of the microwave resonant cavity can be rectified in real time, and the optimal and most stable resonant mode of the local oscillation microwave frequency responding to atoms is kept.

The invention discloses a gas pipeline leakage acoustic detection device and method based on CPO-VMD and multi-feature extraction, and relates to the technical field of gas pipeline leakage detection, and the device comprises a compressed air storage tank, a pressure control valve, a barometer, a pipeline, a seamless steel pipe, a broadband microphone, a data acquisition card and a data storage device. The method using the device comprises the following steps: collecting a sound wave signal of gas pipeline leakage; carrying out adaptive decomposition on the original signal in combination with a CPO algorithm and variational mode decomposition; performing reconstruction and noise reduction on the key modal component through the correlation coefficient; and multi-dimensional features of the reconstructed signals are extracted, the signal features are screened and preferentially selected, and gas pipeline leakage detection and classification are performed through a classification detector. Therefore, by adopting the method, the decomposition effect and the classification precision of the leakage sound wave signals can be effectively improved, and the strong adaptability of a method framework in different scenes is enhanced.

The invention belongs to the technical field of fire detection, and particularly discloses a smoke sensor labyrinth optimization design and dust pollution resistance method, which comprises the following steps: detecting corresponding smoke and dust fusion particles and water vapor particles in an air detection area through a signal transmitting device; water vapor particles are screened to weaken smoke alarm triggered by mistake caused by the water vapor particles, a differential signal processing technology is adopted to distinguish and identify fusion particles, meanwhile, the fusion particles are introduced into a labyrinth measuring cavity, the concentration of smoke and dust is measured in the labyrinth measuring cavity, and the detection stability is enhanced; the width of a labyrinth channel in a labyrinth measuring cavity is automatically adjusted according to the smoke concentration to carry out space division of smoke particles and dust particles, so that the adaptability of the detector to a complex environment is improved; the smoke concentration in the labyrinth measuring cavity is subjected to fire early warning judgment, the cleaning device additionally arranged in the labyrinth measuring cavity is started according to the smoke concentration and the dust concentration for cleaning treatment, and the detection continuity is improved.

The invention discloses a wireless audio frequency band conflict avoidance method in a high-density and high-intensity electromagnetic environment, and the method comprises the steps: monitoring the signal intensity, the frequency band occupation condition and an interference source in the electromagnetic environment in real time, and carrying out the measurement of the signal intensity through a spectrum analyzer or a radio frequency detector; intelligent prediction and dynamic sensing are performed on the spectrum occupation condition by combining a machine learning algorithm, so that the frequency band of audio signal transmission is adjusted in real time, and the current idle frequency band with less interference is dynamically selected for audio transmission based on a spectrum sensing result, so that the conflict with the frequency bands of other equipment is avoided. Through the intelligent spectrum sensing technology, the spectrum use condition in the electromagnetic environment is monitored in real time, frequency band conflicts and interference sources can be efficiently and accurately found, smooth audio data transmission is ensured, transmission delay caused by the frequency band conflicts can be effectively reduced through dynamic frequency band selection and a rapid switching mechanism, and the low delay requirement of real-time audio transmission is ensured.

A detection device for detecting a quality of ultra-long pile foundation of deep foundation pit support structure is provided, and includes a plurality of sound detection pipes which are parallel to each other and are vertically arranged on a reinforcement cage of a pile foundation. The plurality of sound detection pipes are paired, two sound detection pipes in each pair of the plurality of sound detection pipes are arranged opposite to each other, and ends of the plurality of sound detection pipes are connected to each other through connecting brackets; and a sound wave transmitter and a sound wave transducer are respectively arranged in the two sound detection pipes and are connected with the sound wave detector arranged outside the pile foundation through cables.

A Rydberg sensor may include a probe laser source and a quantum radio frequency (QRF) cavity downstream from the probe laser source and configured to define a path for a plurality of probe laser beam passes within the QRF cavity. A Rydberg sensing region may be within the QRF cavity and in the path of the probe laser beam passes. An optical amplifier may be within the QRF cavity and in the path of the probe laser beam passes. A detector may be downstream from the QRF cavity.

A method includes detecting interaction by a user with an entry detector; collecting credentials from the user; and, if the credentials indicate that the user is authorized to enter, accessing a material database associating each of a set of materials with one or more corresponding resonance frequencies; and for each material of the set of materials: transmitting, into an environment associated with the user, an RF signal at a first resonance frequency for a material of the set of materials; receiving a response signal from the environment; analyzing the response signal from the environment for resonance characteristics that indicate a presence of the material; and in response to the presence of the material being indicated: determining whether an action is required for the material; and if the action is required for the material, actuating an access apparatus to perform the action.

The invention discloses an area intelligent identification alarm system for tower crane hoisting, which relates to the technical field of alarm systems and comprises a front-end data acquisition module, an acquired data processing module, a wireless network communication module, a hoisting safety analysis module and a safety alarm execution module. The visual detector, the detection sensor and the environment sensor form a multi-element acquisition module, hoisting parameters and environment information can be synchronously acquired in real time on the hoisting site of the tower crane, the comprehensiveness of information acquisition is ensured, and the problem that the traditional configuration is single in acquisition element and the cost is low is solved through the redundancy design of multiple acquisition elements. The method solves the problem that the existing tower crane is easy to fail, realizes real-time intelligent identification and graded early warning of potential safety hazards in a tower crane hoisting operation area, has the characteristics of high dynamic adaptability, high spatial resolution, intelligent response, high deployability and the like, and provides scientific and efficient technical support for safety management of tower crane operation.

The invention discloses a tower grounding grid multi-frequency composite wave electric field imaging and soil environment medium diagnosis method, which comprises the following steps of: generating a composite excitation signal through superposition of a low-frequency sine wave and a high-frequency CHIRP square wave, and collecting multi-dimensional data such as voltage / current response, soil temperature and humidity, electric field intensity and the like in combination with a distributed sensor array; separating signal features by using wavelet transform and extracting impedance information of a target frequency point; a multi-grid homotopy algorithm is adopted to realize grounding grid three-dimensional resistivity distribution reconstruction, corrosion spots and abnormal areas are marked, and high-precision positioning of underground conductors is completed through UWB radar or a capacitance detector; meanwhile, based on the information entropy maximization optimization frequency band combination, the grounding grid state is comprehensively evaluated in combination with a multi-parameter fusion model. The method has the non-contact patrol capability, the unmanned aerial vehicle carries equipment to scan the grounding grid, the detection efficiency and convenience are remarkably improved, and an efficient and accurate solution is provided for guaranteeing safe operation of the power grid.

The invention discloses an on-line qualitative detection method for partial discharge of power equipment, which comprises a detection system and detection steps, and also comprises the following steps: the detection system comprises a high-frequency partial discharge detector for detecting a high-frequency current transformer; the ultrahigh frequency detection system is used for detecting electromagnetic wave radiation which is generated by partial discharge and has extremely short duration time; the ultrasonic detection system is used for detecting sound waves and ultrasonic signals generated along with energy release when partial discharge occurs; a transient ground voltage method detection system is used for live-line detection of equipment such as a medium-voltage switch cabinet. According to the online qualitative detection method for the partial discharge of the power equipment, different detected equipment and different detection methods are adopted to perform online detection on the partial discharge of the equipment, so that the early partial discharge phenomenon of the power equipment can be found in time, the long-term discharge monitoring data of the power equipment can be stored, and the overall detection effect is improved.

The invention relates to a differential performance detection device, which belongs to the technical field of differential detection, and comprises a detection terminal connected with the axial end face of a planetary gear; the detector is arranged opposite to the detection terminal; a displacement sensor is arranged on the surface, facing the detection terminal, of the detector; the detector is provided with the surface of the displacement sensor to abut against the detection terminal, and the axial pressure of abutting between the detector and the detection terminal is zero. The driving part is used for driving the bevel gear to rotate; the processor is connected with the displacement sensor; the moment when the driving part drives the bevel gear to rotate is the first moment, the bevel gear transmits power to the planetary gear through rotating meshing after rotating, the displacement sensor is used for detecting whether the planetary gear rotates or not, the moment when the displacement sensor feeds back signals is the second moment, and the meshing clearance is detected according to the first moment and the second moment. Whether the tooth pitch of the differential mechanism is out of tolerance or not can be judged, and the accurate positioning effect of differential mechanism fault detection is achieved.

The invention belongs to the technical field of flow field optical measurement, and particularly relates to a high-enthalpy plasma gas temperature measurement method, system and device based on an absorption spectrum. Generating a composite modulation signal through a high-frequency sine wave and a low-frequency sawtooth wave, and enabling incident light to pass through a flow field measurement area in parallel through laser modulation and beam shaping; the detector receives the transmission light and converts the transmission light into an electric signal containing harmonic information, the signal acquisition device is used for performing signal acquisition, the phase-locked demodulation algorithm is used for extracting second harmonic, and the temperature is inversely deduced by combining the double-spectral-line temperature measurement method and the Fourier coefficient amplitude ratio of the second harmonic with the HITRAN database. The system comprises a signal driving module, a laser emission module, a detection acquisition module and a temperature measurement module. The device is composed of a signal generator, an in-phase adder and the like, and a laser is matched with a driving power supply to guarantee stable work. According to the scheme, aiming at the problems of weak signal absorption and insufficient signal-to-noise ratio under complex working conditions, the measurement accuracy and reliability are improved by composite modulation, harmonic extraction and a bispectral line algorithm, and an effective means is provided for research on thermal characteristics of the high-enthalpy plasma.

The invention discloses a multi-modulation-format vector signal modulator based on microwave photonics, and relates to the field of microwave photonics. Comprising an IQ quadrature modulation module, a continuous wave laser, a first power optical splitter, an optical carrier frequency generation module, a polarization beam combiner, an optical amplifier, a polarization beam splitter and a photoelectric balance detector module, the IQ quadrature modulation module comprises a double-parallel Mach-Zehnder modulator, a first forming filter, a second forming filter, a first attenuator, a second attenuator, a first direct current voltage stabilization source and a second direct current voltage stabilization source. According to the invention, the formed and filtered IQ baseband signal is input into the double-parallel Mach-Zehnder modulator for quadrature modulation, the IQ baseband signal and the other path of optical carrier signal subjected to differential MZM frequency multiplication are subjected to polarization beam combination, and then the signal is converted into a radio frequency signal through PD, so that the generation of a high-frequency-band and multi-modulation-format vector signal is realized, and the high-frequency-band multi-modulation-format vector signal is suitable for the fields of high-speed communication, photon radar and the like.

The invention relates to the technical field of electronic equipment detection, in particular to a multi-dimensional anti-candid photographing detector and a detection method thereof. The system comprises a processing unit, a thermal imaging module, an electromagnetic radiation detection module and a wireless security module, wherein the wireless security module comprises at least two wireless network interface cards, and a first wireless network card is used for connecting a specified internal network and scanning and analyzing internal network equipment; the second wireless network card works in a monitoring mode and is used for sniffing all surrounding Wi-Fi signals, Bluetooth signals and associated equipment thereof and performing data packet analysis; the user interaction module, the positioning auxiliary module, the storage unit and the power supply module are used for providing electric energy for the detector. According to the invention, four technical dimensions of thermal imaging, wireless safety detection, infrared light detection and electromagnetic radiation detection are fused, and an intelligent analysis and positioning algorithm is combined, so that the comprehensiveness, the accuracy and the efficiency of detecting candid equipment are improved, and clear positioning guidance and comprehensive safety evaluation are provided for a user.

This invention provides an electromagnetic field detector, a system comprising the electromagnetic field detector, and a method of operating an electromagnetic field detector, the electromagnetic field detector comprising a first optical signal interface configured to receive, from one or more remote optical sources, a first optical signal; an electromagnetic field transmitter configured to transmit a local oscillator electromagnetic field generated from the first optical signal, the electromagnetic field transmitter comprising: a photocurrent generator configured to generate a photocurrent from the first optical signal; and an antenna interface configured to supply the photocurrent to an antenna to transmit the local oscillator electromagnetic field; a second optical signal interface configured to receive, from the one or more remote optical sources, a probe optical signal and a coupling optical signal; and a transmission medium configured to be excited by the probe optical signal and further excited by the coupling optical signal, wherein the probe optical signal has a probe frequency set to excite electrons of the transmission medium to a first excited state and the coupling optical signal has a coupling frequency set to excite electrons of the transmission medium to a predetermined Rydberg state so as to induce an Electromagnetic Induced Transparency, EIT, effect, wherein the transmission medium is further configured to receive a phase-modulated electromagnetic field from a remote transmitter and the local oscillator electromagnetic field such that the combination of the phase-modulated electromagnetic field and the local oscillator electromagnetic field causes a change in the probe optical signal from which a phase state of the phase-modulated electromagnetic field can be detected.

The invention provides a data processing method and system for an aerosol analyzer, and belongs to the technical field of data processing of aerosol analyzers, and the method comprises the following steps: collecting light absorption signals of aerosol particles according to a light source system and a detector, and generating an original electric signal; preprocessing the original electric signal to obtain preprocessed data; extracting an absorption coefficient, a multiband light attenuation characteristic and a mass concentration parameter of the black carbon aerosol from the preprocessed data; analyzing the features based on a machine learning model, outputting a real-time prediction result of the concentration of the black carbon aerosol, and preprocessing the original electric signal to obtain preprocessed data, including the step of noise removal. According to the method, baseline drift is dynamically corrected through a polynomial fitting algorithm, wavelet transform denoising and a machine learning model are combined, the accuracy and real-time performance of black carbon aerosol concentration detection are remarkably improved, and the problems that in a traditional method, manual intervention is much, and the model generalization ability is poor are solved.

To monitor the state of a vehicle without being affected by the ambient environment such as in the nighttime.SOLUTION: A detector comprises: an acquisition unit that, on the basis of a reflected wave that is reflected on an object moving in the cabin from a transmitted wave transmitted toward the inside of a cabin of a vehicle, acquires time-series data of a point group indicating one or more detection points representing the position of the object moving in the cabin; an operation unit that analyzes the behavior of the point group moving with the lapse of time on the basis of the time-series data of the point group; and a determination unit that determines whether the object enters or exits from the cabin on the basis of the behavior of the point group.SELECTED DRAWING: Figure 5

The invention relates to the technical field of intelligent control of HPLC (High Performance Liquid Chromatography) analytical instruments, in particular to an HPLC system fault early warning self-calibration method. Comprising the following steps: S1, acquiring a high-frequency pressure signal behind a pump and a chromatographic signal of a detector in real time; calculating a relative physical disturbance quantity based on the post-pumping high-frequency pressure signal; calculating a chemical state deviation degree based on the detector chromatographic signal; s2, fusing the relative physical disturbance quantity and the chemical state deviation degree, and constructing an instantaneous health index; and S3, comparing the instantaneous health index with a preset first early warning threshold value and a preset second early warning threshold value, and executing a closed-loop control strategy corresponding to a comparison result. According to the method, accurate fault early warning is realized by constructing a physical-chemical two-dimensional monitoring system, the defects of offline and lagging applicability test of a traditional system are overcome through real-time monitoring and fusion evaluation of the two dimensions, and the accuracy and timeliness of early warning are remarkably improved.