3810 results about "Microwave" patented technology

The invention provides a thermal wave imaging detection method based on nonlinear frequency modulation microwave excitation induction, and the method comprises the steps: constructing a composite excitation module of Gaussian beam and dynamic phase compensation, decomposing high-frequency / low-frequency sub-pulses for alternate emission, synchronously collecting infrared non-uniform sampling and microwave polarization diversity data, and carrying out the detection of the thermal wave imaging. And through feature fusion of a time domain CNN and a frequency domain graph neural network, propagation parameters are iteratively corrected in combination with a thermal diffusion equation model, and defect and deep structure detection is realized. According to the method, the composite excitation structure is combined with high-frequency / low-frequency sub-pulse alternate emission, the micro-defect detection resolution and the deep structure penetrating capacity are remarkably improved, the feature robustness is enhanced through multi-modal data acquisition and cross-modal neural network fusion, detection depth self-adaptive optimization is achieved through a depth compensation model and Kalman filtering, and the detection precision is improved. The parameter precision is improved with the assistance of a terahertz spectrum coupling matrix and Landweber iterative inversion, and finally an advanced detection system integrating efficient excitation, multi-dimensional perception and intelligent analysis is formed.

The invention provides a bridge structure monitoring method and device based on a microwave deformation radar, and relates to the technical field of bridge structure monitoring, and the method comprises the steps: obtaining the multi-point three-dimensional displacement data of a bridge structure through the microwave deformation radar, carrying out the thermal expansion pseudo displacement compensation and multi-point space smoothing through combining with temperature information, and obtaining a displacement field after environment correction; secondly, extracting a vertical component and separating the vertical component into a static deformation component and a dynamic vibration component by adopting variational mode decomposition; further analyzing and identifying a decoupling region through a time window coherence coefficient, performing recursive quantitative analysis, bispectrum analysis and energy distribution entropy calculation on a dynamic signal of the region, and constructing a high-order damage sensitive feature set; and finally, the dynamic characteristics and the static curvature change are fused to form a comprehensive degradation degree index, the deviation degree is judged according to working condition classification and the mahalanobis distance, and multi-dimensional and cross-working-condition degradation identification and risk early warning of the bridge structure are achieved.

The invention discloses a microwave radio frequency link multi-index comprehensive measurement method, and relates to the technical field of radio frequency communication testing, and the method comprises the following steps: S001, building a peak power prediction model, generating a peak power probability curve based on the statistical distribution characteristics of a plurality of carrier signals, and forming a peak early warning vector containing an estimated time point and an amplitude value; and S002, executing synchronous sampling scheduling according to the peak early warning vector, and by adjusting a sampling trigger threshold and a time window parameter, enabling a sampling window to aim at peak power occurrence time and cover a time interval of amplitude limiting protection. According to the method, through peak value prediction, accurate sampling, multi-dimensional difference and distortion identification, efficient capture and dynamic regulation and control of amplitude limiting abnormity are realized, a prediction-identification-adjustment-optimization closed-loop process is constructed, the monitoring integrity and adaptive capacity of a microwave radio frequency link to sudden distortion are remarkably improved, and stable operation of a system is guaranteed.

The invention discloses a multi-parameter coupling intelligent regulation and control method and system in a vanadium ore smelting process, relates to the technical field of non-ferrous metal smelting automatic control, and solves the problems of feeding deviation and resource chain scission caused by slow response of an existing heat balance model to ore impurity fluctuation, online sensing lag and process island. The impurity concentration and the dielectric constant are obtained in real time through an LIBS / XRF combined probe and a microwave dielectric spectrum, rheological disturbance is dynamically corrected through extended Kalman filtering, a dynamic coupling response model is input, a thermodynamic interference factor is calculated, and a leaching and precipitation strategy is generated; performing mother liquor tail gas material flow collaborative optimization in parallel, constructing a multi-dimensional control vector U, performing iterative updating through near-end strategy optimization in a digital twin and issuing the multi-dimensional control vector U to an edge PLC (Programmable Logic Controller) in a distributed manner, and finally correcting a model weight through online XRD (X-Ray Diffraction) feedback; according to the method, the adaptive capacity to complex vanadium ore component disturbance, the response precision of online control and the inter-process resource circulation efficiency are remarkably improved.

The invention relates to the technical field of industrial platform data analysis, in particular to a renewable resource recovery data management system based on the Internet of Things, which comprises the steps of synchronously acquiring weight, spectrum and microwave characteristic data of a tested resource through a data acquisition module, executing moisture weight decoupling operation by utilizing a resource matching module, and performing data analysis; then, an inventory evolution module tracks performance loss of resources in real time by using an evolution model of an integrated long and short-term memory network, generates a resource attenuation weight, and constructs a two-dimensional decision matrix containing scheduling priority and preprocessing strength grade instructions in combination with real-time inventory saturation; and finally, the clearance scheduling module executes dynamic pruning and bidirectional optimization through a resource scheduling model, accurately allocates the loading share and the access sequence of each node, and generates a dynamic instruction set containing a delivery sequence. According to the method, feeding homogenization is realized through industrial data multi-dimensional collaborative analysis.

The invention provides an HY-2A ocean water vapor inversion method based on machine learning, and the method comprises the steps: constructing a high-quality HY-2A scanning microwave radiometer data set through the data preprocessing, matching, feature extraction and normalization processing of HY-2A satellite scanning microwave radiometer data and ERA5 reanalysis data. A plurality of machine learning models are used for training and testing, Bayesian optimization is used for realizing hyper-parameter automatic adjustment, an optimal solution in finite time is obtained, an SHAP method is used for explaining the models, contribution of each characteristic variable is clear, interpretability of the used machine learning models is improved, and finally high-precision inversion of the water vapor over the sea is realized. The method has efficient calculation performance, can realize rapid processing of large-scale marine meteorological data, and improves the interpretability of a machine learning model. The method has important application value in numerical weather forecast, ocean extreme weather forecast, climate monitoring and other geophysical and meteorological fields.

The invention relates to the technical field of fire coal control, and discloses a thermal power plant fly ash floating black online detection control method and system, and the method comprises the steps: 1, employing microwave, infrared and laser sensors for cooperative work, detecting carbon dielectric characteristics through microwave dust interference resistance, identifying thermal radiation difference through infrared, and analyzing particle distribution through laser; 2, on the basis of the detection requirements in the step 1, triple protection of air curtain barrier, ultrasonic cleaning and hydrophobic coating is designed, dust condensation is blocked, and it is ensured that the light transmittance of the sensor is larger than 90%; the invention provides a multi-mode sensing fusion-anti-interference current stabilization-closed loop optimization full-link solution for the industrial problem of signal distortion caused by optical window dew formation and dust deposition, airflow disturbance and environmental interference in fly ash floating black online detection. The light transmittance of the optical window is greater than 93% by combining triple protection of air curtain barrier, ultrasonic cavitation stripping and nano hydrophobic coating.

The invention discloses an unmanned aerial vehicle suitable for microwave reconnaissance interference equipment and an equipment antenna arrangement method, and belongs to the field of unmanned aerial vehicles. The unmanned aerial vehicle comprises a fuselage, wings and an empennage. The fuselage comprises a fuselage head, a fuselage body and a fuselage tail. The wings adopt upper single wings and are mounted at the top of the fuselage; the empennage is installed at the tail of the fuselage. The head of the fuselage adopts a nose cover made of wave-transparent materials, a plurality of forward interference antennas are mounted in the nose cover, lateral interference antennas and reconnaissance antenna arrays are mounted on fuselage skins on two sides of a fuselage main body, a plurality of backward interference antennas are mounted in an engine cover made of wave-transparent materials at the tail of the fuselage, and propellers at the tail end of the unmanned aerial vehicle are made of wave-transparent materials. Through the conformal design of the unmanned aerial vehicle and the antenna, the influence of the antenna on the aerodynamic performance of the unmanned aerial vehicle is reduced to the maximum extent, the aerodynamic layout of the unmanned aerial vehicle is optimized by combining the antenna arrangement, and the task antenna is not shielded.

The invention discloses a TR assembly gold wire bonding process parameter prediction method based on a multilayer perceptron neural network, and belongs to the technical field of microwave device intelligent manufacturing. According to the method, an intelligent mapping model of gold wire bonding geometric parameters and radio frequency performance is constructed by fusing a multi-layer perceptron neural network and parameterized electromagnetic simulation. The method specifically comprises the following steps: generating 45 groups of samples in a process parameter space by adopting Latin hypercube sampling; obtaining an S parameter data set through batch processing electromagnetic simulation; box-Cox conversion and normalization preprocessing are carried out on the data; the method comprises the following steps: constructing an MLP neural network model of a 3-32-16-2 structure, and determining hyper-parameters by using Bayesian optimization; and after training is completed, rapid reverse mapping from target performance to process parameters is realized. According to the method, the number of traditional tests is reduced from more than 200 to 45, the predicted root-mean-square error of S21 is smaller than or equal to 0.12 dB, the determination coefficient is larger than or equal to 0.96, and the parameter backstepping time lt is obtained; according to the method, full-process automation from simulation, training, optimization to production and issuing is realized, and the development efficiency of the TR component is remarkably improved.

The invention discloses an oil storage tank oil-water interface measurement system and method and a storage medium, and relates to the technical field of oil-water interface measurement, and the system comprises a data acquisition module, a data processing module, a decision support module and a data security module. According to the oil-water interface measuring system and method for the oil storage tank and the storage medium, a three-dimensional sensing network (distributed sensor network) is constructed by adopting a pressure sensor array and phased array ultrasonic scanning technology and combining dielectric property detection of a microwave dielectric constant sensor; the pressure, the dielectric constant, the liquid level and the vibration data in the tank body are obtained, basic data are provided for subsequent processing, the comprehensiveness of data obtaining can be improved through the sensing network, the pressure data are dynamically calibrated through Takagi-Sugeno fuzzy logic, the influence of temperature drift is effectively eliminated, and the accuracy of data obtaining is improved. The ultrasonic signals are subjected to feature enhancement through the generative adversarial network, and the emulsion layer boundary is accurately recognized.

The invention discloses an orthogonal directional coupler and a microwave system based on a micro-coaxial technology, the orthogonal directional coupler comprises a metal outer conductor, an upper inner conductor and a lower inner conductor, the upper inner conductor and the lower inner conductor are suspended in the metal outer conductor through a periodic medium support loading structure; the upper inner conductor and the lower inner conductor serve as two identical micro coaxial coupling lines to be cascaded, the micro coaxial coupling lines are symmetrical multi-stage impedance stepped couplers, each micro coaxial coupling line is provided with n coupling units, the coupler structure is symmetrical about the center coupling unit, the upper inner conductor and the lower inner conductor are overlapped in the axial direction at the center coupling unit, and the upper inner conductor and the lower inner conductor are overlapped in the axial direction at the center coupling unit. The upper inner conductor and the lower inner conductor extend from the center coupling unit to the two ends, the upper inner conductor and the lower inner conductor deviate from the center to the two sides, and the closer to the coupling units at the two ends, the larger the offset is; the ultra-wideband orthogonal antenna can work in the frequency range of 5 GHz to 100 GHz, the return loss is superior to 15 dB, the phase change is smaller than 5.5 degrees, the directivity is superior to 10 dB, and the ultra-wideband orthogonal antenna can be used for generating ultra-wideband orthogonal signals.

The invention discloses a phased array weather radar calibration method based on a generalized metal ball calibration theory. Comprising the following steps: in a microwave anechoic chamber, collecting two-dimensional antenna pattern data of a phased array weather radar in at least one working mode and pointing to a plurality of different beams; performing numerical integration on the two-dimensional antenna pattern data, calculating a combined beam main lobe solid angle of the transmitting antenna and the receiving antenna, and calculating an equivalent beam width product; calculating a calibration theoretical reflectivity factor of the metal ball based on the product of the theoretical radar scattering sectional area and the equivalent beam width of the metal ball; actual detection echo data of the phased array radar on the metal ball under different working modes and beam pointing is acquired, and an actual reflectivity factor is calculated; and comparing the actual reflectivity factor with the calibration theoretical reflectivity factor to complete calibration of the phased array weather radar. Aiming at the non-Gaussian working mode of the phased array weather radar, the reflectivity factor of the phased array weather radar can be quantitatively evaluated, and the radar detection performance is improved.

The invention discloses a microwave link-weather radar combined rainfall inversion method based on Z-R relation adaptive adjustment, and the method comprises the steps: defining a related parameter set of microwave link rainfall estimation and weather radar reflectivity measurement in observation time, and carrying out the matching and space-time averaging processing, and obtaining rainfall intensity-radar reflectivity characteristics; fitting a radar reflectivity-rainfall intensity relation within observation time by using a least square method based on the rainfall intensity-radar reflectivity characteristics; according to the radar reflectivity-rainfall intensity relation sample of the known position, calculating the spatial distribution of the radar reflectivity-rainfall intensity relation in the research area by using an inverse distance weighted interpolation method; and according to the spatial distribution of the radar reflectivity-rainfall intensity relationship within the observation time and the average reflectivity factor measured by the radar, calculating to obtain a spatial distribution result of the accumulated rainfall within the observation time. According to the invention, the accuracy of regional rainfall monitoring is effectively improved.

The invention discloses a microwave and radio frequency integrated treatment system which comprises a multi-source information acquisition module, a feature extraction module, a feature modeling module and an instruction generation module. The multi-source information acquisition module acquires internal temperature distribution data and contact impedance spectroscopy data of a focus through a sensor array, and forms focus materialization data in combination with focus space information; the feature extraction module performs space-time registration on the focus materialization data by using a space-time registration algorithm to obtain focus comprehensive thermal impedance features; the feature modeling module extracts space-time evolution features of the comprehensive thermal impedance features of the focus by using a lightweight convolutional neural network, and constructs a thermal impedance dynamic expansion model; the instruction generation module generates an initial control instruction sequence used for controlling the microwave and radio frequency integrated treatment equipment based on the thermal impedance dynamic expansion model in combination with the treatment scheme.

The invention belongs to the technical field of sea fog monitoring, and particularly relates to a sea fog monitoring method and system based on multi-source satellite remote sensing data, and the method comprises the steps: collecting satellite radiation and microwave observation data, discriminating the cloud top phase state in combination with infrared ground microwave channel response differences, dividing clear sky and low cloud shielding scenes, and outputting identification data. And sea fog is detected in combination with the single-time infrared brightness temperature difference and the empty pixel parameters, optical parameters are inverted, and a sub-scene sea fog physical parameter set is formed. Carrying out normalized coupling reconstruction on the parameter set, constructing a sea fog exclusive feature space, separating a fog region from a non-fog region through phase state constraint to obtain an initial judgment feature field, correcting the edge of the fog region through neighborhood correlation and brightness temperature gradient constraint, strengthening spatial continuity to generate a spatial distribution field, locking a credible region, and outputting a final sea fog detection result. According to the invention, through layer-by-layer progressive design of scene division, feature optimization and multi-source verification, the precision and integrity of sea fog identification are significantly improved.

The invention discloses an underwater magnetic field measuring device based on a diamond NV color center. The underwater magnetic field measuring device comprises a diamond NV color center module, an incident laser excitation module, a multi-path optical coupling module, a microwave excitation module, a fluorescence acquisition and photoelectric conversion module, a signal processing and control module and a magnetic field module, the multi-path optical coupling module is used for dividing an optical fiber into multiple paths and collecting fluorescence generated by the diamond block; the microwave excitation module is used for switching between two single-quantum resonance frequencies to drive an NV color center to realize double-quantum DQ reading; and the signal processing and control module comprises an FPGA (Field Programmable Gate Array) processing unit of a field programmable logic array chip. According to the invention, a dual-quantum DQ working point of a diamond NV color center is used as a measurement channel, common-mode influence of D is removed through differential measurement, the problem of D drift caused by temperature drift, stress and material aging is physically and obviously inhibited, and the device can still realize ultrahigh-sensitivity measurement in a complex underwater environment.

The invention discloses a microwave cold noise source fusing TEC temperature control and noise temperature compensation technologies, and belongs to the technical field of microwave radiometer calibration. The device comprises a cold source module, a noise compensation module and a constant-temperature control module, wherein the cold source module generates a low-temperature noise signal through a field-effect tube and a terminal resistor; the noise compensation module detects environment temperature change in real time based on a thermistor and a Wheatstone bridge, drives a noise diode to generate a compensation signal, couples the compensation signal with a cold source noise signal after attenuation, and counteracts noise temperature deviation caused by the environment temperature. The constant temperature control module adopts a platinum resistance sensor and a PID algorithm to control a Peltier element in a closed-loop mode, and accurate adjustment (+ / -0.1 DEG C) is achieved. According to the invention, noise compensation and TEC negative feedback temperature control technologies are combined, so that the noise temperature of the system is stabilized in a range of + / -0.1 K for a long time, the measurement precision and reliability of the microwave radiometer in an outdoor complex environment are remarkably improved, and the method is suitable for scenes of remote sensing detection, unmanned aerial vehicle monitoring and the like.

The invention relates to an SPnT surface-mounted microwave mechanical switch, and relates to the technical field of microwave switches, the microwave mechanical switch comprises a metal substrate, a plurality of micro coaxial transmission lines are arranged in the metal substrate, the length direction of the micro coaxial transmission lines is arranged along the thickness direction of the metal substrate, and the two ends of the micro coaxial transmission lines penetrate through the metal substrate; the radio frequency communication mechanism comprises a plurality of radio frequency reeds, one radio frequency reed is correspondingly arranged between every two adjacent micro coaxial transmission lines, the radio frequency reeds and the metal substrate are arranged in parallel at intervals, and linkage pieces are arranged on the radio frequency reeds; the electromagnetic driving mechanisms and the radio frequency reeds are arranged in a one-to-one correspondence mode, the electromagnetic driving mechanisms are connected with the corresponding linkage pieces, and the electromagnetic driving mechanisms are used for driving the radio frequency reeds to be in lap joint with the two corresponding micro-coaxial transmission lines. The microwave mechanical switch provided by the invention can be suitable for application scenes with relatively high requirements on high-frequency performance.

The invention discloses a wide-dynamic-range diamond NV color center magnetic sensing method and system, and the method comprises the steps: (1) calibrating the initial resonant frequency and magnetic sensing coefficient of a diamond NV color center in an initial magnetic field environment; (2) in a to-be-measured magnetic field environment, a microwave generator applies frequency-modulated microwaves to the diamond NV color center with the current resonant frequency as the center frequency; demodulating the fluorescence signal in real time by using a phase-locked detection technology to obtain an error signal; calculating the detuning amount of the center frequency in real time according to the error signal and the magnetic sensing coefficient, and further calculating the variable quantity of the magnetic field intensity; meanwhile, the detuning amount is fed back to a microwave generator to track the resonance frequency of the diamond NV color center; and (3) continuously and repeatedly executing the step (2) to realize wide-dynamic-range magnetic field measurement. The method has the advantages of wide dynamic range, high detection capability on strong and weak field mixed signals in a complex application scene and the like while giving consideration to the magnetic sensing sensitivity.

The invention discloses a full-field-domain structure high-precision deformation and vibration measurement system based on a microwave interference radar, and the system comprises an observation configuration module which is used for obtaining radar observation parameters and completing the signal transmission and reception; the signal processing module is used for preprocessing the echo signal and constructing an interference phase matrix; the phase unwrapping module is used for generating a continuous phase sequence and calculating the displacement of a reflection point; the frequency spectrum extraction module is used for extracting the frequency component and the vibration amplitude of each reflection point; the response clustering module is used for extracting reflection point clusters with similar frequency responses and constructing a vibration distribution diagram; the modal identification module is used for generating a vibration modal feature vector and marking a difference region; and the track generation module is used for generating a dynamic deformation track diagram of the full field domain structure. According to the invention, high-precision deformation and vibration mode synchronous measurement of a complex structure under full-field-domain and non-contact conditions is realized, and the precision, efficiency and intelligent level of structure monitoring are effectively improved.

The invention discloses a broadband single-pole double-throw switch MMIC, and belongs to the field of radio frequency / microwave. The switch adopts a symmetrical dual-channel structure, each channel comprises an input end series switch circuit, an output end series switch circuit and two parallel switch branches, channel switching is realized through two complementary control voltages, and impedance matching is carried out between the circuits by adopting microstrip lines. According to the technical scheme, switching tubes, resistors and inductors are utilized to form a circuit network, and a signal transmission path is optimized through the resonance effect of the inductors and switching tube cut-off capacitors in parallel branches in combination with a resistor parallel structure and a microstrip line matching technology. According to the invention, the performance of low insertion loss and high isolation in a broadband is achieved, the voltage standing wave ratio of an off-state output port is reduced, the port matching capability is improved, and an efficient and stable solution is provided for signal routing in a radio frequency system.

The invention relates to a microwave wireless energy transmission reflector antenna fast multi-objective optimization method comprising the following steps: establishing an MWPT system simulation model, adopting a Bernstein polynomial basis function to carry out dimension reduction processing on a decision space of an antenna, and reducing the number of decision variables; expressing the constructed MWPT system transmitting antenna optimization model as a multi-objective optimization model through a multi-objective optimization function; constructing an agent model based on Gaussian process regression GPR; a proxy model and an evolutionary strategy are integrated through a Gaussian process regression proxy model and a covariance matrix adaptive evolutionary algorithm, a non-dominated solution set is obtained through iterative optimization, and then the multi-objective design of reflector antenna aperture illumination is optimized. According to the method, three performance indexes of BCE, PRL and APC are comprehensively considered, the Bernstein polynomial basis function is adopted to carry out dimension reduction processing on the antenna design decision space, the number of antenna design decision variables is effectively reduced, the proxy model is introduced into the antenna optimization design method, and the optimization design efficiency is improved.

The invention relates to the technical field of soil remediation, and provides a soil pollution remediation process which comprises the following steps: distributing points in grids of an area to be remediated, measuring the content of heavy metals and the concentration of organic pollutants, applying multi-frequency microwave radiation, synchronously applying ultrasonic treatment, and injecting a complex microbial inoculant containing sphingomonas, aspergillus niger spores and a nitrogen and phosphorus nutrient solution. A direct-current electric field is applied, pH, oxidation-reduction potential Eh and temperature parameters are monitored and measured in real time through an embedded sensor, a repair by-product recovery system is arranged, the purity of recovered metal is not lower than 98%, and mobile repair equipment is used in a matched mode. According to the method, the pollution degree is accurately quantified by constructing the pollution index PI, and dynamic regulation and repair are realized in combination with real-time monitoring parameters of a sensor. The pollutant removal efficiency is improved through the synergistic effect of multiple technologies, metal resource recovery is achieved through a repair by-product recovery system, traditional problems are solved, and efficient and environment-friendly repair is achieved.

The invention provides a multi-source rainfall prediction method and device fusing GNSS and communication satellites, and the method comprises the steps: building a plurality of satellite-ground microwave links which are used for transmitting GNSS data and communication satellite data; gNSS data and communication satellite data on the multiple satellite-ground microwave links are acquired; performing atmospheric rainfall inversion on the plurality of satellite-ground microwave links based on GNSS data, and constructing a two-dimensional water vapor field according to an inversion result; performing rainfall intensity inversion on the plurality of satellite-ground microwave links based on communication satellite data, and constructing a two-dimensional rainfall field according to an inversion result; and fusing the two-dimensional water vapor field and the two-dimensional rainfall field by adopting Bayesian-maximum posteriori estimation to obtain a fusion field, and converting the fusion field to obtain a rainfall prediction field. According to the method, the rainfall field and the water vapor field are fused for rainfall prediction, so that the whole rainfall process can be accurately predicted.

The invention discloses a C-band broadband antenna based on a double-layer metasurface, and belongs to the technical field of microwave communication. The antenna comprises an upper-layer dielectric substrate, a middle-layer dielectric substrate and a lower-layer dielectric substrate from top to bottom, a first metasurface layer is arranged on the upper surface of the upper-layer dielectric substrate, a second metasurface layer is arranged on the upper surface of the middle-layer dielectric substrate, a metal plate with a strip-shaped groove is arranged on the upper surface of the lower-layer dielectric substrate, and a tuning fork type T-shaped power divider is arranged on the lower surface of the lower-layer dielectric substrate. The T-shaped power divider comprises a main branch knot and two parallel branch knots, the branch knots are located under the strip-shaped groove, and the strip-shaped groove is perpendicular to the branch knots. Through a power divider and strip-shaped groove coupling excitation multi-resonance mode, in combination with cooperative regulation and control of the double-layer different-size metasurfaces, the excellent performance that S11 is smaller than-10 dB, the bandwidth is 34% and the maximum gain is 8.25 dBi is achieved within the frequency band of 4.568-6.141 GHz, and the ultra-wideband ultra-wideband antenna is suitable for 5G communication, satellite communication and Internet of Things equipment.

The invention belongs to the field of electromagnetic field numerical solution, and particularly provides a finite element mesh adaptive method for network parameter analysis of a multi-port microwave device, which comprises the following steps: firstly, establishing a geometric structure of the multi-port microwave device, setting simulation frequency, excitation and boundary conditions, and establishing an electromagnetic simulation model; secondly, performing preliminary division and finite element electromagnetic simulation calculation on a computational domain by adopting a tetrahedral mesh to obtain a numerical solution corresponding to each group of excitation, and synthesizing results based on a posterior error estimation method for posterior error estimation; and finally, according to a posterior error indication grid encryption parameter, carrying out simulation calculation again after encryption, and repeating the process until the solution meets the precision requirement. In conclusion, by combining the characteristics of a finite element algorithm and the characteristics of an error estimation algorithm, in the microwave device network parameter analysis process, multiple sets of excited numerical solutions are comprehensively used for posterior error estimation and grid adaptive encryption indication, so that the analysis precision of network parameters is improved.

The invention provides a wetland ecological safety early warning method and system based on remote sensing analysis, and the method comprises the steps: firstly obtaining a multi-dimensional remote sensing data set containing multi-temporal imaging, spectral radiation and microwave scattering data in a target wetland region, and carrying out the interpretation to obtain an ecological process signal set; establishing a mapping relation model of the ecological process signal and the wetland ecological safety state, and obtaining a current ecological safety state description; performing cross-process correlation analysis on the ecological process signal to form an ecological process abnormal conduction chain; constructing an early warning trigger node system and generating an early warning rule; and acquiring real-time multi-dimensional remote sensing data, interpreting the real-time multi-dimensional remote sensing data, matching the interpreted real-time multi-dimensional remote sensing data with an early warning rule, and generating wetland ecological safety early warning information containing an abnormal ecological process link, an abnormal conduction path and an early warning response node. The wetland ecological safety risk can be comprehensively and accurately pre-warned, and the stability of the wetland ecological system is guaranteed.

The invention relates to the technical field of quantum sensing, and discloses a quantum magnetometer device based on diamond NV color center photoelectric detection magnetic resonance. Wherein the optical path module performs optical excitation and imaging positioning on a diamond sample through a laser and an objective lens. The circuit module integrates a microwave source, a lock-in amplifier, a low-noise current amplifier and a programmable power supply, applies a microwave field and bias voltage to a microwave antenna and an interdigital electrode on the surface of a sample respectively, and collects sample dependency photocurrent signals. And the operation module realizes automatic control and data processing of the system. According to the device, NV color center spin state information is converted into a photocurrent signal through a photoelectric detection magnetic resonance mechanism, an amplitude or frequency modulated signal is demodulated by using a lock-in amplification technology, information of a detection magnetic field is obtained through a high signal-to-noise ratio photoelectric detection magnetic resonance spectrum, and the sensitivity of the magnetic field is evaluated. Magnetic resonance signals are detected in an all-electricity mode, a complex optical system of traditional fluorescence detection is simplified, and the device has the advantages of being compact in structure, easy to integrate, high in measurement sensitivity and the like.

The invention discloses a temperature compensation equalizer with adjustable equalization slope linearity, and relates to the technical field of microwave integrated circuits. The equalizer comprises a temperature compensation driving module and a temperature compensation equalization module. The temperature compensation driving module generates a control voltage changing along with the temperature by using the negative temperature characteristic of the diode. The temperature compensation equalization module comprises an equalization circuit formed by resonators and a pair of stacked switch tubes, and realizes a temperature compensation function by controlling voltage to adjust insertion loss; meanwhile, by changing the capacitance value of the equalization slope linearity adjusting capacitor C3 which is connected with the series resonator in parallel, the linearity of the equalization slope can be flexibly adjusted on the premise that the equalization quantity is kept unchanged. According to the invention, the temperature compensation and equalization functions are integrated, the structure is compact, the performance is stable, the slope linearity can be flexibly adjusted, and the device is suitable for gain frequency and temperature compensation in a broadband radio frequency link.

The application discloses a double-resonance atomic clock ultra-miniature substrate integrated waveguide chamber, comprising: a substrate integrated waveguide annular gap cavity, the substrate integrated waveguide annular gap cavity is formed by longitudinal stacking of a plurality of longitudinal slit substrate integrated waveguides, the longitudinal slit substrate integrated waveguide comprises a metalized through hole and a metal microstrip line, and the longitudinal slit substrate integrated waveguide is provided with a longitudinal slit; a MEMS atomic gas chamber; a mode matching excitation structure for exciting a microwave magnetic field to the substrate integrated waveguide annular gap cavity; and an electromagnetic shielding and heating assembly arranged outside the substrate integrated waveguide annular gap cavity. The application can effectively solve the key problem that the resonant performance of a printed miniature annular gap cavity is extremely sensitive to the size change of subwavelength structure parameters, increase the processing tolerance of the ultra-miniature integrated chamber, reduce the processing difficulty and manufacturing cost of high-precision PCB through holes, and improve product yield.