611 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.

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 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 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 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 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).

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 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.

The invention provides a detection method of an end face integrated reflection type SPR optical fiber biosensor manufactured based on a 2PP technology. An experiment system mainly comprises a single-mode optical fiber, an optical fiber coupler, an SPR probe, a tungsten lamp light source, a sample pool, a spectrum analyzer and a computer. The method is characterized in that a volcanic three-dimensional microstructure is directly constructed on the end face of a single-mode fiber through a 2PP technology, a metal film with the thickness of about 50nm is deposited on the inner wall of the volcanic three-dimensional microstructure, and a stable and efficient SPR excitation structure is formed; the structural parameters are subjected to FDTD simulation optimization design, and have the characteristics of high quality factor and high sensitivity. The sensor can be used for AFP detection, the sensitivity reaches 0.684 nm / (ng / mL) within the linear range of 0-10 ng / mL, the normal and risk early warning concentration interval of human serum AFP is covered, and the sensor has good biological suitability and early hepatocellular carcinoma screening capacity; in addition, the probe structure is small in size, detection can be completed only by a few microliters of liquid to be detected, and the probe is suitable for a microfluidic platform with an extremely low sample size or a clinical sampling scene. Compared with the prior art, the device has the advantages of high structural integration, high sensitivity, low sample consumption, convenience in manufacturing, stability, reliability and the like.

The invention discloses an intelligent monitoring device for chest drainage components, which comprises a spectrum analyzer and a drainage bin, a main control chip; an output unit; a power supply unit; a detection area is arranged on one side of the spectrum analyzer, a detection end capable of stretching into the detection area is arranged on one side of the drainage bin, a detection cavity allowing drainage liquid to enter is formed in the detection end, the optical detection module comprises a light source module capable of emitting light beams to the detection cavity and a detector used for receiving reflected light beams, and the detector is connected with the main control chip. A reflective optical detection technology is adopted, monitoring of key components such as hemoglobin, chylomicroparticles and inflammatory factors is realized at the same time, a characteristic absorption spectrum of a specific biomarker can be covered by a multi-wavelength light source module, and concentration change trends of various components are synchronously obtained by combining absorbance dynamic analysis of a main control chip; the limitation of single parameter detection of a traditional device is broken through.

The invention discloses a TSCM-combined remote steal audio-visual equipment detection method and system, and relates to the related field of steal audio-visual equipment detection, and the method comprises the steps: carrying out the multi-band scanning of a target region through an RF scanner, and obtaining a first capture signal set; performing adaptive interference compensation according to the multi-band scanning scene feature data to obtain a second capture signal set; performing spectrum analysis according to a plurality of spectrum analyzers, and constructing a characteristic curve of a captured signal of each frequency band; carrying out credible signal feature mining on the target area, constructing a credible signal feature space, inputting the capture signal feature curve of each frequency band, and determining a first result; performing infrared detection compensation according to the first result to obtain a second result; and performing risk evaluation on the second result according to the real-time network traffic log of the target area to obtain a suspicious equipment detection report. The technical problems of low detection accuracy and poor reliability of the existing steal audio-visual equipment are solved, and the technical effect of improving the detection accuracy and reliability is achieved.

The invention provides a device and method for manipulating and regulating the bandwidth of a quantum compression state light field, and belongs to the technical field of optics. The problems that an experiment system is complex and high in cost due to the fact that existing bandwidth compression manipulation experiments depend on additional optical devices are solved. The device comprises an optical module, a data acquisition module and a data processing module, two BHDs are used for detecting noise variances of an upper sideband mode and a lower sideband mode based on compression carrier symmetry respectively, then an oscilloscope and a spectrum analyzer are used for detecting time domain signals and frequency domain signals of the BHDs respectively, and broadband compression state light field noise distribution is obtained. A collected time domain signal is post-processed by using an LPSD algorithm, and frequency-dependent differential phase shift is introduced into an upper sideband mode, so that bandwidth compression control of low-pass filtering, high-pass filtering and band-pass filtering effects can be realized.

The invention discloses an automatic medicament preparation and dosage control system based on an artificial intelligence technology and a method thereof, relates to the technical field of industrial medicament preparation, and solves the problems that although the flow of medicaments can be controlled to a certain extent in the prior art, most medicaments lack intelligent prediction capability and cannot effectively process complex nonlinear working conditions. Comprising a sensor module, an intelligent controller and an actuator module, the sensor module comprises a spectrum analyzer and a weighing module and is used for monitoring components and weight of a medicament in real time, the intelligent controller processes data of the sensor module and predicts medicament dispensing parameters, the actuator module executes medicament metering, water adding and stirring operations, the sensor module monitors a medicament dispensing result in real time and feeds back the medicament dispensing result, and the intelligent controller corrects errors. Through an integrated high-precision sensor, an advanced intelligent control algorithm and a highly-automatic execution mechanism, comprehensive automatic, precise and intelligent management of the medicament preparation process is realized.

The invention relates to the technical field of quality safety control of traditional Chinese medicinal materials, and discloses a traceability management system and method for a traditional Chinese medicinal material planting base, and the system comprises an environment monitoring layer, a data collection layer, a block chain evidence storage layer, an intelligent analysis layer, and a user interaction layer. The environment monitoring layer comprises a soil temperature and humidity sensor, an illumination intensity sensor, a meteorological station and a multispectral unmanned aerial vehicle, the environment monitoring layer is used for collecting environment data in real time, and the data collection layer comprises a farming operation recording terminal, a medicinal material growth image collection device and a near infrared spectrum analyzer. By integrating an environment monitoring layer, a data acquisition layer, a block chain evidence storage layer, an intelligent analysis layer and a user interaction layer, full-chain traceability management from planting to circulation of a traditional Chinese medicinal material planting base is realized, the problem of data islands is effectively solved, the credibility and integration of data are improved, the quality safety level of traditional Chinese medicinal materials is improved, and the safety of the traditional Chinese medicinal materials is improved. And a solid foundation is laid for sustainable development of the traditional Chinese medicinal material industry.

The invention discloses a modulation identification method based on microwave photon frequency-time mapping. The method comprises the following steps: firstly, performing microwave photon frequency-time mapping on a to-be-measured microwave signal, and mapping frequency information of the to-be-measured microwave signal to a time domain to obtain a time-frequency characteristic of the to-be-measured microwave signal; and inputting the time-frequency characteristics of the to-be-detected microwave signal into a pre-trained neural network model so as to identify the modulation form of the to-be-detected microwave signal. The invention also discloses a modulation identification device based on microwave photon frequency-time mapping. Compared with the prior art, on the basis of a microwave photon frequency-time mapping model, Fourier transform is directly completed through an optical device, a radio frequency signal is modulated to be processed in an optical domain, time delay characteristics of dispersion broadening and compression are combined, the picosecond-level time stretching precision is achieved, the instantaneous bandwidth limitation of a traditional spectrum analyzer is broken through, and the spectrum analysis precision is improved. Frequency spectrum processing of large-bandwidth signals can be completed in real time, computing resources are saved, and the real-time performance of modulation identification is improved.

The invention relates to the technical field of spacecraft structure micro stress detection, in particular to a spacecraft structure micro stress detection device and a use method thereof, and the spacecraft structure micro stress detection device comprises a displacement amplification structure, a single mode fiber, a reflector, a broadband light source and a spectrum analyzer. An optical resonant cavity formed by an optical fiber end face and a lens is combined with a displacement amplification structure, when stress acts on a spacecraft structure, the cavity length of the Fabry-Perot resonant cavity changes, so that phase movement of light is caused, and accurate measurement of the stress can be achieved by detecting the phase movement. The antenna has extremely high anti-electromagnetic interference capability, and can work stably in a complex space environment. Even under the condition of violent temperature change, high measurement accuracy can be kept, and detection of tiny stress can be achieved through the amplification effect of the displacement amplification structure. And the stress characteristic signal and the background noise can be effectively separated, so that the detection reliability is remarkably improved.

The invention discloses a CO2-water-rock reaction process in-situ measurement system and a CO2-water-rock reaction process in-situ measurement method, and relates to the technical field of geochemical water-rock reaction. The system comprises a reaction kettle unit, a CO2 injection unit, a pure water / salt water injection unit and a data acquisition unit, the reaction kettle unit comprises a reaction kettle, a vacuum pump and a temperature control device, the reaction kettle is provided with a containing cavity, the vacuum pump is communicated with the containing cavity of the reaction kettle, the temperature control device is located outside the reaction kettle, the CO2 injection unit is communicated with the reaction kettle, the pure water / saline water injection unit is communicated with the reaction kettle, and the temperature control device is located outside the reaction kettle. The data acquisition unit comprises a light source, an optical fiber, a spectrum analyzer and a data acquisition and analysis device; the CO2-water-rock reaction monitoring system has the beneficial effects that real-time monitoring of the whole CO2-water-rock reaction process is realized, and the problem that the reaction process cannot be monitored in real time in the previous CO2-water-rock reaction is solved.