878 results about "Spectrum analyzer" patented technology

The invention relates to a wireless communication test method and system based on a portable frequency spectrograph and a medium, and belongs to the technical field of radio frequency spectrum analysis, and the wireless communication test method comprises the steps: collecting electromagnetic signal original data of a target area; constructing a dynamic electromagnetic environment baseline model; performing filtering and background subtraction processing on the original data of the electromagnetic signal; carrying out modulation mode identification, protocol analysis and terminal identification extraction on the preprocessed signal matrix, generating a multi-dimensional feature vector, carrying out convolution similarity matching on the multi-dimensional feature vector and a legal signal feature template, and distributing a threat level label; dynamically reconstructing scanning parameters of the portable spectrum analyzer according to the threat level label, generating an equipment parameter adjustment record and updating the electromagnetic fingerprint database; and generating a spectrum optimization control instruction based on the threat level label and the equipment parameter adjustment record, and issuing the spectrum optimization control instruction to the target base station or the terminal equipment. According to the application, the identification precision of the threat signal and the control closed-loop linkage capability in a complex electromagnetic environment are improved.

The invention discloses an SF6 gas leakage detection method and system based on a photoacoustic spectrum analyzer, and the method comprises the steps: arranging a sampling end to collect an SF6 gas sample, and obtaining stable gas input through constant-current sampling and steady-state pretreatment; steady-state gas is guided into the photoacoustic spectrum analyzer, and resonance frequency stabilization and signal amplification output are achieved through the self-tuning unit; executing double-microphone differential detection and digital filtering processing, and outputting a stable SF6 detection signal with a high signal-to-noise ratio; performing time calibration, abnormity elimination and consistency processing on the detection signal to generate standardized detection data; inputting the standardized data to a Transform model, and performing inversion to generate an SF6 leakage source position and a diffusion path; and displaying an inversion result on a monitoring interface, triggering a sound-light alarm when the inversion result exceeds a limit, and uploading the inversion result to a cloud monitoring platform. According to the invention, the intelligent photoacoustic spectrum system combining photoacoustic-fluid steady-state control and self-tuning detection is constructed, so that high-sensitivity detection and accurate positioning of SF6 gas leakage are realized.

The invention provides an LED lamp intelligent energy-saving control method and system, and the method comprises the steps: obtaining environment illumination intensity data, personnel flow density data and current working state parameters of an LED lamp, which are collected by a plurality of sensors, carrying out the preprocessing of the original data of the sensors, and obtaining a standardized environment perception data set; calculating power resources required by the intelligent control system are evaluated according to the LED lamp control parameter optimization scheme, the brightness output of the LED lamp is controlled according to the calculating power resources, and the current proportion of red, green and blue LED chips is adjusted according to the color temperature; whether the light beam angle needs to be adjusted or not is judged through matching analysis of the light beam angle and environmental perception data, if yes, the lens position of the LED lamp is changed, and the output spectral characteristics of the LED lamp are measured and determined through a spectrum analyzer; after sensor calibration parameters are updated, LED lamp power consumption data are collected, and if the deviation between actual power consumption and a theoretical calculation value is smaller than a preset percentage, it is determined that the energy-saving control effect reaches an expected target.

The invention relates to the technical field of boiler combustion control, in particular to a boiler combustion multi-target collaborative optimization control method and system. The method comprises the following steps: firstly, acquiring coal quality parameters in real time through a laser-induced breakdown spectrum analyzer, carrying out qualitative and quantitative analysis on spectral data by utilizing a machine learning algorithm, constructing a boiler combustion digital twinborn model fusing a combustion mechanism model and a data driving model, and predicting combustion characteristics, NOx generation trends and coking risks under different blending schemes; and then, dynamically generating an optimization instruction combination according to a prediction result of the digital twinborn model, establishing a safety interlocking mechanism while executing the optimization instruction, and automatically switching to a manual control mode when detecting that the working condition fluctuates severely or the model prediction deviation exceeds a preset threshold value. According to the method, the problems of coal quality information lag and untimely combustion adjustment caused by traditional manual sampling are effectively solved, and the economical efficiency, the safety and the environmental protection property of boiler operation are improved.

The invention relates to the technical field of radio frequency modules, and discloses a radio frequency module power amplifier efficiency test method and system, and the method comprises the steps: connecting a signal generator, a power meter, a spectrum analyzer and a DC power supply with a to-be-tested power amplifier, and obtaining a layered power amplifier efficiency test system; establishing a continuous wave test model and a modulation signal test model to obtain compensation parameter data; inputting a first test signal to the to-be-tested power amplifier to obtain power gain data and standardized efficiency data; inputting a second test signal to the to-be-tested power amplifier to obtain adjacent channel leakage power ratio data; performing total efficiency analysis and isolation efficiency analysis on different working states to obtain a layering efficiency analysis result; and carrying out standardization processing on a hierarchical efficiency analysis result, establishing power measurement error evaluation and efficiency calculation error evaluation, and obtaining a power amplifier efficiency test report, thereby realizing comprehensive evaluation on the efficiency characteristics of the power amplifier in different working states.

This disclosure describes an auto-calibration of mixers in a quantum orchestration platform. Predistortion is computed according to an RF signal that is downconverted with a local oscillator tone that is offset from an upconverter tone. Three tones present in the original RF signal are distinguished and used to construct a cost function. The minimization of the cost function is used to cancel an unwanted LO leakage and an image tone. Because the quantum orchestration platform generates both the unconverted IQ signals and the cost function for their optimization, the optimization can be performed in real time inside a single device without the need to communicate with external devices. This allows for the optimization of single sideband upconverted signals in a fraction of the time it typically takes using distributed systems employing separate waveform generators and spectrum analyzers.

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.

The invention provides a laser spectrum online analyzer, and relates to the field of mineral processing. The laser spectrum online analyzer comprises a control analysis unit, a first sample chamber, a second sample chamber, a spectrum unit and a laser unit, the first sample chamber is used for accommodating a tested sample; the second sample chamber is used for accommodating a to-be-detected sample; the spectrum unit comprises a spectrograph, a first light receiving probe and a second light receiving probe; the laser unit comprises a laser light source, a reflector, a first focusing lens and a second focusing lens. The control analysis unit compares the current spectral intensity of the detected sample with the spectral intensity of the detected sample which is measured in advance, so that the change amplitude of the spectral intensity can be obtained, the spectral intensity is calibrated, and long-term on-site stable operation can be realized. In addition, the laser spectrum analyzer can also perform self-calibration on spectral line drift.

The invention discloses a frequency sweep-based GSM-R interference automatic identification method and device. The method comprises the following steps: acquiring a radio signal along a railway received by a GSM-R special antenna; decoding the radio signals along the railway through a sweep generator to obtain decoded data; performing spectrum analysis on the radio signals along the railway through a spectrum analyzer to obtain spectrum measurement data; based on the decoded data, the frequency spectrum measurement data and known cell ledger information, internal and external interferences and risks of the GSM-R network are identified respectively, and interference and risk types and interference information are determined; and the interference type and the interference information are displayed in real time through a vehicle display. According to the invention, the interference identification efficiency and the comprehensiveness and timeliness of interference identification can be improved.

The invention discloses a multi-beam seamless switching demonstration verification system, and relates to the field of satellite-ground communication simulation. The system comprises at least two vector signal sources used for simulating and outputting pseudo satellite emission signals; the satellite-ground wireless channel simulator is used for receiving the pseudo-satellite emission signal, processing the pseudo-satellite emission signal according to the analog channel model parameters and outputting a simulation signal; the at least two horn antennas are used for simulating satellite earth coverage wave beams, receiving simulation signals and outputting the simulation signals in a directional wave beam form; the service terminal carries a transceiving common-caliber phased-array antenna and is used for adjusting arrival beam receiving gains in different directions and adjusting a transmitting beam direction angle and gains so as to transmit signals; the frequency spectrograph is used for observing the received signal; and the upper computer is used for outputting analog channel model parameters, and is also used for controlling angle pointing and beam pointing switching of the transceiving common-caliber phased-array antenna. Compared with the prior art, the phased-array antenna communication process among multiple orbits, multiple satellites and satellite-ground coverage areas can be simulated quickly, truly and accurately.

The invention provides a microwave superheterodyne frequency sweep measurement system based on Rydberg atoms, and belongs to the technical field of microwave frequency measurement. The laser module excites detection light of 780 nm and coupling light of 480 nm, and the two beams of light are reversely input into the atomic gas chamber through the dichroscope; signal microwaves are generated by a radio frequency signal source and are radiated to the position of the atomic gas chamber through the horn antenna; local oscillation microwaves are generated by the microwave module and are also radiated to the position of the atomic gas chamber through the horn antenna; the atomic gas chamber serves as a mixer to form a difference frequency signal; the spectrum analyzer is used for monitoring low-frequency difference frequency signals generated in the frequency mixing process in real time and recording signal intensity in real time. According to the invention, high-precision and wide-band microwave frequency measurement is realized, continuous and smooth frequency sweeping response can be provided in a frequency range, and absolute frequency detection of microwave signals is realized under the condition that a complex frequency comb technology is not introduced. The hardware architecture is simplified, the automation degree is improved, and integration, popularization and application are facilitated.

The invention relates to the technical field of mold processing, and provides a mold precision injection molding processing method and device based on machine vision, and the method comprises the following steps: carrying out all-directional scanning on the surface of a mold cavity based on a machine vision system to obtain cavity three-dimensional image data of the mold cavity; inputting the three-dimensional image data of the cavity into an image analysis and detection model to obtain a first analysis and detection result; calling a spectrum analyzer to detect the to-be-injection-molded material based on the first analysis detection result to obtain a material characteristic detection result of the to-be-injection-molded material; determining material processing parameters of the to-be-injection-molded material according to the material characteristic detection result, and melting the to-be-injection-molded material based on the material processing parameters to obtain a material melt; and first mold injection molding machining parameters are determined based on the mold characteristic parameters of the mold cavity, and the material melt is injected into the mold cavity based on the first mold injection molding machining parameters. The product quality stability and the production efficiency are improved, and the production cost is reduced.

The invention discloses a multi-antenna joint precoding Gbit wireless transmission system, which relates to the technical field of wireless communication and comprises a frequency spectrum channel acquisition module, a signal preprocessing module, a precoding joint optimization module, a transmission performance evaluation module and a closed-loop parameter control module. The spectrum channel acquisition module acquires signal data and evaluates a transmission bit error rate and a signal-to-noise ratio by using a spectrum analyzer; the signal preprocessing module performs denoising and normalization and constructs a channel model; the precoding joint optimization module dynamically adjusts precoding and suppresses bit error diffusion; the transmission performance evaluation module calculates a data rate and optimizes protocol design; and the closed-loop parameter control module dynamically configures system parameters to guarantee closed-loop optimization. According to the method, the transmission efficiency and the stability of a Gbit wireless transmission system are remarkably improved, a complex channel environment is effectively dealt with, the bit error rate is reduced, the data rate is improved, a transmission protocol is optimized, intelligent dynamic adjustment of system parameters is realized, and the optimal performance of a multi-antenna joint precoding technology is ensured to be exerted.

The invention relates to the technical field of electromagnetism, in particular to a testing method and device based on comb-shaped signals, and the method comprises the steps: obtaining at least one frequency point based on the comb-shaped signals and the amplitude corresponding to each frequency point in the at least one frequency point; performing time domain conversion on the at least one frequency point and the amplitude corresponding to each frequency point in the at least one frequency point to obtain time domain data corresponding to the at least one frequency point; performing signal processing on the time domain data corresponding to the at least one frequency point according to the acquired acquisition parameters to obtain target spectrum data; controlling the spectrum analyzer to collect the target spectrum data to obtain a target spectrogram; and determining whether the test system meets a test standard or not according to the target spectrogram. According to the method, the flexibility and accuracy of the electromagnetic compatibility test are improved, the test process is simplified, the frequency coverage range is expanded, meanwhile, the hardware dependence is reduced, and the test standardization and automation are promoted.

The invention discloses a photon device and method for simultaneously measuring Doppler frequency shift and an angle of arrival, and belongs to the technical field of microwave photon-assisted radars. The device is configured to enable a transmitting signal and a reference signal to enter a first dual-parallel Mach-Zehnder modulator working in a carrier suppression single sideband modulation mode after being combined so as to generate two positive first-order sideband signals, and then the two positive first-order sideband signals enter a second dual-parallel Mach-Zehnder modulator and are modulated by an echo signal; and a modulation signal output from the second dual-parallel Mach-Zehnder modulator enters a photoelectric detector for photoelectric conversion to generate a down-conversion signal. Comparing the frequency of the down-conversion signal with the frequency of the reference signal by using an electric spectrum analyzer to obtain the magnitude and direction of Doppler frequency shift; the arrival angle of the target can be obtained by monitoring the power of the frequency conversion signal. Measurement of Doppler frequency shift and the angle of arrival can be completed only by using the photoelectric detector with the bandwidth lower than the frequency of the transmitted signal, and the requirement for the bandwidth of the photoelectric detector is lowered.

The invention discloses a Raman spectrum automatic focusing system and method for detecting a pathological tissue sample, and the system comprises a light source module which is used for generating laser with a preset wavelength so as to irradiate the pathological tissue sample; the automatic focusing module integrates a mechanical structure and an image recognition algorithm, and performs automatic focusing on the surface of the sample through a low-pass spectroscope, an objective lens, a focusing camera, a controller and a focusing execution mechanism; the spectrum analysis module is used for collecting and analyzing Raman scattering light generated by interaction of the focused exciting light and the pathological tissue sample on the basis of a Raman spectrum analyzer, and by integrating the stable light source, the automatic focusing module, the spectrum analysis module and the data processing module, rapid, accurate and automatic detection of the pathological tissue sample is achieved; the method has the advantages of simplicity and convenience in operation, high detection speed, high resolution, high automation degree and the like, is widely applied to the fields of clinical pathological detection, biomedical research and the like, and provides powerful support for disease diagnosis.

The invention provides an active suppression method and system for partial discharge ultrahigh frequency signal background noise. The method comprises the following steps: determining the arrangement positions of an ultrahigh frequency sensor and a noise sensor on the outer wall of a GIS (Gas Insulated Switchgear); collecting a partial discharge signal of the mixed noise through an ultrahigh frequency sensor; after the minimum collection period of the noise signals is determined, the noise signals are collected through a noise sensor; inputting the collected noise signal into a spectrum analyzer for spectrum analysis; extracting an obvious narrow-band noise frequency band in a frequency domain, and determining the frequency band and phase jitter of the narrow-band noise frequency band; and active suppression of the narrow-band noise is carried out on the frequency band with the narrow-band noise through the suppression formula of the narrow-band noise interference. According to the invention, the technical problem that the accuracy and the reliability of interference suppression are restricted due to poor narrow-band interference applicability of partial discharge ultrahigh-frequency signals of GIS equipment in a field environment is solved.

The invention discloses a rotor system with a resonance point self-test function, a measurement method, equipment and a medium. The system comprises a controller, an active electromagnetic bearing, a radial vibration displacement sensor and a spectrum analyzer, the controller is used for generating a control signal according to the user configuration parameters and sending the control signal to the active electromagnetic bearing; the active electromagnetic bearing is used for outputting electromagnetic excitation force to the rotor system according to the control signal, so that the rotor system generates radial vibration displacement under the action of the electromagnetic excitation force; the radial vibration displacement sensor is used for collecting a radial vibration displacement signal of the rotor system and sending the radial vibration displacement signal to the spectrum analyzer; and the spectrum analyzer is used for generating a spectrum signal according to the radial vibration displacement signal and determining a rotor resonance point according to the spectrum signal. According to the technical scheme, self-testing of the resonance point of the rotor system can be realized without a speed increasing and decreasing test and an additional excitation device, the safety of the rotor is guaranteed, and uncontrollable accidents are avoided.

A multi-channel analog-digital converter (ADC) subsystem for test device such as a spectrum analyzer may include multiple multi-channel ADCs to receive down-converted signals and convert the received signals to digital output signals, a field programmable gate array (FPGA) to select one or more ADCs based on a frequency, a bandwidth, and / or a signal type of each received signal and a characteristic of each ADC, and an ADC sample clock to provide a clock signal to the selected ADCs. Characteristics of the ADCs may include a resolution, a signal-to-noise-and-distortion ratio (SINAD), an effective number of bits (ENOB), a signal-to-noise ratio (SNR), a total harmonic distortion (THD), a total harmonic distortion plus noise (THD+N), and / or a spurious free dynamic range (SFDR).

According to examples, a test instrument may include a radio frequency (RF) receiver to receive RF signals across a range of frequencies, a persistent spectrum analyzer to determine signal strengths of the RF signals across the range of frequencies, and a processing circuit. The processing circuit may determine respective hit rates of the RF signals from the determined signal strengths of the RF signals, detect that a certain RF signal of the RF signals is an interference signal based on the respective hit rates of the RF signals, and output the frequency of the detected interference signal. The use of the hit rates may enable identification of interference signals have relatively low signal power levels.

The invention discloses an indoor light control method and system based on the Internet of Things, and relates to the technical field of intelligent lighting control, and the method comprises the steps: collecting indoor spectrum distribution data through a spectrum analyzer, constructing a spectrum feature fingerprint database through an edge calculation unit, and carrying out the matching and classification of spectrum feature fingerprints based on distributed calculation nodes; the spectral feature fingerprints are input into a preset optical physiological mapping model, a spectral compensation sequence is generated, and the spectral compensation sequence comprises target output proportions of spectrums with different wavelengths; and converting the spectrum compensation sequence into an indoor illumination control instruction, executing the indoor illumination control instruction through the RGBW multi-color LED array and the micro-lens array, and adjusting the illumination environment of each indoor area. According to the invention, accurate perception and intelligent regulation and control of a complex light environment are realized, and the intelligent level of indoor illumination and the user experience are improved.

The invention discloses a vernier effect and Sagnac ring-based dual-parameter optical fiber sensor, which belongs to the technical field of optical fiber sensors and comprises a broadband light source SLED (1), a coupler (2), a sensing structure A (3), a circulator (4), a sensing structure B (5) and a spectrum analyzer (6). The device comprises a first single-mode fiber (301), a polarization-maintaining photonic crystal fiber (302), a few-mode fiber (303), a fiber Bragg grating (304), a second single-mode fiber (501), a first hollow-core fiber (502) and a second hollow-core fiber (503). Parasitic interference is avoided by grinding the end face of the hollow-core optical fiber, and the reliability of the sensor is improved; two transmission peaks appear on the fiber bragg grating inscribed on the few-mode fiber through different mode numbers in the few-mode fiber, and gas concentration and temperature sensitivity of two signals can be calculated by observing drifting of the transmission peaks; an optical vernier effect can be formed through superposition of a Sagnac interferometer formed by polarization-maintaining photonic crystal fibers and an F-P interferometer formed by hollow core dislocation, and the gas concentration and the temperature sensitivity of the sensor are improved. The sensor has the characteristics of high sensitivity, wide measurement range, simple structure, small size and the like.

The invention belongs to the technical field of power dual-mode communication detection, and discloses a channel selection device suitable for a dual-mode test system. Comprising a peripheral equipment unit, a signal attenuation unit and a channel selection unit, the peripheral equipment unit comprises HPLC standard equipment, a signal source, a first spectrum analyzer, HRF standard equipment, a first vector signal source, a second vector signal source, a second spectrum analyzer and an EVM analyzer; the signal attenuation unit comprises a first programmable attenuator and a second programmable attenuator; the channel selection unit comprises a first radio frequency switch, a second radio frequency switch, a third radio frequency switch, a fourth radio frequency switch, a first HPLC power divider, a second HPLC power divider, a first HRF power divider, a second HRF power divider and a third HRF power divider; channel switching and testing of the dual-mode module are achieved through the multiple radio frequency switches and the power dividers, the testing process is simplified, and the testing efficiency is improved.

The invention discloses a 10kV XLPE cable insulation aging state evaluation method based on a microwave reflection signal transmission factor, and the method comprises the following steps: transmitting high-frequency microwave signals with different frequencies to a to-be-evaluated cable through a high-frequency microwave signal source, and measuring the reflected wave power absolute value and the reflection coefficient of the high-frequency microwave signals after the high-frequency microwave signals are reflected in a cable medium; and respectively calculating a cable distortion coefficient alpha, an electromagnetic disturbance coefficient beta and a microwave reflection signal transmission factor sigma of the to-be-evaluated cable, and evaluating the aging state of cable insulation through the microwave reflection signal transmission factor sigma. The method has the advantages that the high-frequency microwave signal is applied to the XLPE cable, the receiving antenna is used for obtaining the reflected wave, the power absolute value and the reflection coefficient of the reflected wave are detected through the spectrum analyzer, the distortion coefficient and the electromagnetic disturbance coefficient of the cable are calculated, and the microwave reflection signal transmission factor is extracted to evaluate the insulation aging state of the XLPE cable. According to the method, the insulation aging state of the 10kV XLPE cable can be accurately evaluated efficiently and safely, power failure faults caused by serious insulation aging of the cable are reduced, guiding significance can be provided for operation and maintenance personnel to evaluate the service performance of the cable, and safe operation of a power grid is guaranteed.

The invention relates to the technical field of electromagnetic radiation measurement, and discloses a near-field scanning system and a rapid scanning method for electromagnetic radiation measurement. The near-field scanning system comprises a data acquisition unit, a probe control moving unit and a control unit; the data acquisition unit comprises a vector network analyzer and a spectrum analyzer which are used for frequency domain measurement, an oscilloscope and a radio frequency signal source which are used for time domain measurement, and a near-field electromagnetic probe; the probe control moving unit is used for controlling the near-field electromagnetic probe to move along a set route in the X direction, the Y direction and the Z direction; the control unit is used for synchronously controlling the data acquisition unit and the probe control moving unit; according to the rapid scanning method, by judging the gradient amplitude and the local self-adaptive threshold value of each scanning point, the scanning points are encrypted at the place where the electromagnetic field changes rapidly, rough scanning is carried out at the place where the electromagnetic field changes slowly, and compared with equal-interval uniform sampling, the number of the scanning points can be reduced, and the efficiency of a near-field scanning system can be improved.

Photonic particles and methods of using particles in biological samples are disclosed. The particles are configured to emit laser light when stimulated by, for example, pump source energy. The particles may include: a gain medium having an inorganic material, an optical cavity having a high refractive index, and a coating having an organic material. The particles may be less than 3 microns along their longest axis. The particles may be attached to each other to form, for example, doublets and triplets. The particles may be injection locked by coupling an injection beam into the particles during pumping, so that the injection seeds are amplified to develop into laser oscillations. The microscope system may include a pump source, a beam scanner, a spectrometer having a resolution of less than 1 nanometer and an acquisition rate of greater than 1 kilohertz, and a spectrum analyzer configured to distinguish the spectral peaks output by the laser from a broadband background.

The invention provides a light source control method and system based on data analysis, and the method comprises the steps: carrying out the multi-channel spectral characteristic collection of an LED light source through a spectrum analyzer array and an optical fiber probe, obtaining a spectral response curve and an interference image, carrying out the multi-scale analysis processing, and generating a multi-dimensional data tensor; performing interference mode and defect signal decoupling analysis on the multi-dimensional data tensor to obtain an interference mode feature and an interference-defect discrimination result; performing spatial distribution analysis on the interference sensitivity of the wafer surface by adopting preset kernel density estimation and a graph neural network according to the interference mode characteristics and the interference-defect judgment result, and generating an interference sensitivity distribution matrix; according to the interference sensitivity distribution matrix, the current waveform and light beam phase distribution of the LED light source are accurately modulated, intelligent control over the LED light source is achieved, the influence of multi-mode interference on semiconductor detection is effectively eliminated, and the accuracy of nanoscale defect detection is improved.

The invention discloses a method for measuring fan blade root stress based on a fiber bragg grating sensor. According to the method, 6-10 key measurement points are selected in a blade root area of a fan blade, a pair of FBG sensors is installed at each measurement point, one FBG sensor is used for stress measurement (affected by strain and temperature at the same time), the other FBG sensor is used for temperature compensation, and decoupling of temperature and strain signals is achieved. The system adopts a single-mode optical fiber, a broadband light source (the wave band is 1525-1565 nm, and the power is 10-20 mW) and a high-resolution spectrum analyzer (the resolution is smaller than or equal to 1 pm, and the sampling rate is larger than or equal to 100 Hz or 1 kHz) to collect optical signals reflected by an FBG sensor in real time, measured wavelength shift is converted into accurate strain data through temperature compensation and a strain calculation formula, and the optical signals are transmitted to the FBG sensor. And calculating a stress value by combining the Young modulus and Poisson's ratio of the material. The method has the advantages of being high in precision, high in real-time performance, resistant to electromagnetic interference and suitable for seaborne, high-altitude and other severe environments, and reliable data support can be provided for dynamic stress monitoring, fatigue life prediction and fault early warning of the fan blade.

The invention belongs to the technical field of optical frequency comb repetition frequency, and discloses an optical frequency comb repetition frequency control system and a locking method, and the system comprises a light source module, a signal detection module, a frequency measurement module, a comparison frequency generation module and a feedback control module. The light source module generates an optical frequency comb; the signal detection module converts the optical signal into an electric signal, noise reduction and amplification processing are carried out through a signal processor, and noise reduction adopts a wavelet transform method; the frequency measurement module adopts a dual measurement mode of a frequency counter and a spectrum analyzer to accurately measure repetition frequency; the comparison frequency generation module provides high-precision reference frequency; and the feedback control module performs closed-loop adjustment according to the difference value between the measurement frequency and the reference frequency. By optimizing signal processing and adopting dual-frequency measurement and closed-loop feedback control, the problems of weak electric signals, large noise interference and low frequency control precision in the prior art are effectively solved, and the stability and accuracy of the repetition frequency of the optical frequency comb are improved.

The invention discloses a VOCs emission dynamic prediction and energy-saving control system for catalytic combustion equipment in a casting workshop and a medium, the system comprises a high-frequency VOCs concentration monitoring unit which adopts TDLAS and FTIR spectrum analyzers and obtains high-precision concentration data through a data fusion algorithm, and a secondary differential signal of the TDLAS analyzer is independently extracted as a key feature; the data preprocessing and feature engineering module is used for processing multi-source data; the dynamic emission prediction module is internally provided with an attention mechanism time sequence convolutional network ATCN model, and realizes the ultra-early prediction of the emission concentration by fusing the secondary differential signal and historical data; the multi-objective optimization control module adopts a model predictive control MPC framework, the lowest comprehensive operation cost is taken as an objective, a dynamic virtual carbon penalty coefficient beta can be dynamically adjusted according to a workshop production plan, an advanced control instruction is generated through rolling optimization, and the equipment power and the fan frequency are adjusted; according to the method, ultra-early prediction, prospective control, energy conservation and consumption reduction of VOCs treatment are realized.