395results about How to "Improve detection ability" patented technology

The invention discloses a capture probe group for detecting pathogenic microorganisms and application of the capture probe group. The nucleic acid sequence of the capture probe group comprises a sequence as shown in SEQ ID NO. 1 to SEQ ID NO. 101. The capture probe group can cover and detect 119 types of bacteria, 32 types of fungi, 41 types of DNA viruses and 71 types of RNA viruses and covers common infectious disease pathogens, the kit containing the capture probe can cover and detect 88 types of drug-resistant and virulence genes, the detection performance of pathogenic microorganisms is greatly improved, and the sensitivity and specificity are improved.

The invention discloses an electromagnetic interference suppression method based on time-domain periodic phase modulation. The electromagnetic interference suppression method comprises the following steps: constructing a mathematical model of a radar echo signal which is modulated by a phase modulation surface of a target, namely is interfered; constructing a reference signal, and performing dechirp processing on the interfered radar echo signal by using the reference signal; performing frequency and duty ratio estimation on a frequency spectrum of a modulation signal, namely an interference signal, through a signal obtained after dechirping processing, and reconstructing the modulation signal at a receiving end according to an estimation result; carrying out time delay on the reconstructed modulation signal, and multiplying the reconstructed modulation signal with an interfered ground radar echo signal to obtain a demodulated signal; carrying out carrier removal processing on the demodulated signal, and then carrying out pulse pressure processing through a matched filter; and changing the time delay value of the reconstructed modulation signal, namely carrying out sliding window operation on the reconstructed modulation signal in the time domain, and determining the modulation starting time by utilizing the relationship between the maximum value of pulse pressure processing and the time delay, thereby recovering a real radar echo signal.

The invention discloses a weather detection method and system based on a weather rainfall radar and a storage medium. The system comprises the weather rainfall radar, a weather data centralized control management center and a radar time sequence chart neural network detection algorithm arranged in the weather data centralized control management center. According to the method, different cloud layer characteristic weathers are collected through a meteorological rain detection radar, and obtained electromagnetic wave scattering parameters of the different cloud layer characteristic weathers are input into a radar time sequence chart neural network detection algorithm for analysis and calculation, so that polarization phase differences corresponding to the different cloud layer characteristic weathers are obtained to detect the height and vertical distribution of cloud layers; and when the height and the vertical distribution of the cloud layer exceed boundary threshold values, sending out risk early warning information of different weather types, and automatically detecting spectral widths of different cloud layer characteristic weather and corresponding polarization phase differences. And the weather detection precision and efficiency are improved.

The invention discloses a spaceborne hyperspectral detection laser radar atmospheric particle inversion method. The method comprises the following steps of solving a laser ranging value and an altitude corresponding to a spaceborne hyperspectral resolution laser radar (HSRL) echo signal sampling point; reducing the noise of the echo signal by using a noise removal method; carrying out distance and system constant correction on the de-noised signal; a forecasting model is used for reanalyzing the data set, and S6, a molecular scattering signal transmittance lookup table is established through an atmosphere model and an iodine molecule hyperspectral filter absorption spectrum; calculating back scattering coefficients and scattering ratios of the cloud and the aerosol; performing hierarchical identification by using a scattering ratio and voltage signal-to-noise ratio threshold method; determining an effective inversion region through hierarchical region processing; calculating an initial extinction coefficient to a radar ratio; and performing Gaussian smoothing filtering on the radar ratio to obtain a final radar ratio, and calculating a final extinction coefficient profile. The method is characterized in that cloud and aerosol level identification is carried out on spaceborne HSRL echo signals, a molecular transmittance lookup table of a hyperspectral channel is established, and cloud and aerosol optical parameters are accurately and efficiently solved.

The invention discloses a millimeter wave radar intelligent anti-interference method and system for an underground complex electromagnetic environment. The method comprises the following steps: S1, acquiring underground electromagnetic environment data by using a sensor; s2, performing calculation based on the underground electromagnetic environment data to obtain multi-dimensional state representation of the millimeter wave radar in an underground complex detection environment; s3, obtaining an anti-interference performance analysis index based on the underground electromagnetic environment data, and constructing a radar anti-interference intelligent efficiency evaluation model based on the anti-interference performance analysis index; s4, calculating an anti-interference optimal strategy by using a deep reinforcement learning algorithm based on the underground electromagnetic environment data, the multi-dimensional state representation and the radar anti-interference intelligent efficiency evaluation model; and S5, adjusting parameters of the deep reinforcement learning algorithm in real time based on an evaluation result of the radar anti-interference intelligent performance evaluation model and underground electromagnetic environment data, and obtaining a real-time updated underground complex electromagnetic environment-oriented millimeter wave radar intelligent anti-interference result.

The invention belongs to the field of lunar exploration and in-situ resource utilization, and particularly discloses a lunar lava pipe three-dimensional modeling method and system, and the method comprises the steps: carrying out the fusion of multi-modal data of a lunar lava pipe, and obtaining a basic three-dimensional model; the multi-modal data comprises point cloud data collected by a laser radar, point cloud data collected by a surrounding device penetrating radar, a three-dimensional image collected by a stereoscopic vision camera and a thermal image collected by an infrared thermal imager; respectively inputting a complete area in the basic three-dimensional model into a generation model based on the CGAN and the VAE, and correspondingly obtaining two three-dimensional completion models; and carrying out weighted fusion on the two three-dimensional complementation models to obtain a complete three-dimensional model of the lunar lava pipeline. According to the method, the integrity and precision of the three-dimensional model of the lunar lava pipeline can be improved, and technical support is provided for deep detection of the lunar lava pipeline.

The present invention is a common optical path compound eye optical system based on hexagonal annular arrangement, which solves the problems of small sub-aperture, low space utilization, narrow imaging spectrum range, insufficient integration of multi-band system, and inconsistent information collection in existing bionic compound eye optical systems. The system includes a curved multi-aperture array, an optical relay image receiving system, and an infrared two-color detector arranged in sequence; the curved multi-aperture array adopts a hexagonal annular arrangement, and the optical parameters of each sub-aperture unit are the same; the optical relay image receiving system is used to convert the focal curved surface image information obtained by the curved multi-aperture array into focal plane image information, which is then received by the plane detector; the infrared two-color detector is used to receive the dual-band image information collected by the sub-aperture units at different spatial positions; wherein the sub-aperture optical system and the relay image receiving system both adopt a dual-band common optical path imaging structure.

The invention relates to the technical field of pharmaceutical analysis, in particular to a method for detecting related substances of a compound sodium picosulfate oral solution. According to the method, high performance liquid chromatography is adopted for detection, a chromatographic column is a bonded silica gel reversed-phase chromatographic column, a mobile phase A is a dipotassium phosphate buffer solution, a mobile phase B is acetonitrile, and gradient elution is adopted. The method can effectively detect related substances in the compound sodium picosulfate oral solution, has the advantages of strong specificity, high sensitivity and the like, has good detection capability on specific impurities in the compound sodium picosulfate oral solution, and effectively guarantees the quality of the compound sodium picosulfate oral solution.

The invention discloses a road traffic potential safety hazard troubleshooting method based on a tunnel road section scene. The method comprises the following steps: S1, constructing a tunnel road section road traffic potential safety hazard troubleshooting knowledge system; s2, establishing a standardized data acquisition process; s3, carrying out cleaning based on the road section data of the map; s4, systematized stake number and troubleshooting road section calibration is carried out; s5, establishing intelligent tunnel road section identification; s6, a tunnel road section road traffic potential safety hazard standardized troubleshooting method and a conclusion are obtained; the AI recognition technology, the laser radar and the intelligent vehicle-mounted equipment are combined, and automatic collection and troubleshooting of traffic signs, marking lines and safety facilities of tunnel road sections are achieved. Through AI automatic kilometer pile identification and manual auxiliary confirmation, the starting and ending points and the up-down direction of the road section are accurately calibrated, the uniqueness of a troubleshooting result is ensured through a data cleaning technology, the troubleshooting efficiency and accuracy of traffic hidden dangers are remarkably improved, and the traffic safety management level of the tunnel road section is effectively improved.

The invention provides a strip-shaped long-distance unmanned aerial vehicle sensing countering system and method along a railway, and relates to the technical field of rail traffic safety. The system comprises an unmanned aerial vehicle detection device arranged at a key node along a railway and used for detecting an unmanned aerial vehicle; the unmanned aerial vehicle countering device transmits a controllable interference signal to interfere with the unmanned aerial vehicle; the signal receiving and directional transmitting equipment is used for receiving, amplifying and redirectionally transmitting the interference signal or the radio signal transmitted by the unmanned aerial vehicle; the rear-end intelligent management and control platform is used for receiving the signal information, analyzing the threat level in real time, selecting a countering strategy and implementing directional interference through equipment; the method comprises the steps of equipment deployment, detection and early warning, data analysis, instruction issuing, signal emission and interference, and response and dynamic adjustment. According to the invention, the problems of insufficient coverage, poor identification precision and single countering means in long-distance and strip-shaped scenes along the railway in the prior art can be solved, and real-time sensing and dynamic countering of the unmanned aerial vehicle are realized.

The invention discloses a shipborne GNSS-R polar region ice region environment oil spill detection method. The method comprises the following steps: establishing a scattering transmission model of a polar region ice region on seawater, sea ice and oil film surfaces based on a GNSS-R signal; based on a coherent signal and incoherent signal accumulation processing method, an oil film existence area is identified; and carrying out feature extraction on the GNSS-R signal of the sea surface ice-oil mixture, and determining whether the polar region ice region environment spills oil or not. The shipborne GNSS-R polar region ice region environment oil spill detection technology provided by the invention has a wide application prospect. According to the ship-borne GNSS-R polar region ice region environment oil spill detection technology based on the dual-polarized antenna, the problem that targets such as sea ice blocks or oil spill are difficult to recognize can be solved, the detection and recognition accuracy of polar region navigation ice region oil spill can be improved, normalized monitoring of polar region navigation ice region oil spill and self-monitoring of navigation ships can be achieved in an assisted mode, and the detection and recognition efficiency of the polar region navigation ice region oil spill is improved. Technical guarantee is provided for polar region shipping safety, ice region strategic resource development and green and safe development of oil and gas storage and transportation in China, and the method has very important research value and popularization significance.

The invention provides a laser wind finding radar device and an adjusting method. The laser wind finding radar device can adaptively adjust emitted laser pulse energy according to the carrier-to-noise ratio of an echo signal to complete wind speed measurement. On one hand, under the condition of weak back scattering echo signals caused by thin aerosol signals in good weather or severe attenuation of laser pulse energy along with distance propagation caused by sharp increase of atmospheric extinction coefficient in severe weather, the emitted laser pulse energy can be adaptively improved, and the detection capability of the laser wind finding radar is improved; on the other hand, the energy of emitted laser pulses can be properly reduced under the high-quality working condition, the detection capacity of the radar is guaranteed, meanwhile, the assembly loss is reduced, the service life of the radar is prolonged, the overall power consumption is reduced, and the good self-adaptive adjustment capacity is achieved.

The invention relates to the technical field of underwater acoustic target detection, and discloses an underwater acoustic passive target detection method, device and equipment, and the method comprises the steps: dividing underwater acoustic passive noise signals collected by a preset vertical array in different sea areas into a plurality of framing signals, and constructing a source domain and target domain data set; for each framing signal in the source domain data set and the target domain data set, extracting a plurality of low-order features, calculating a first-order difference form of each low-order feature, obtaining the low-order features and a plurality of statistical function values corresponding to the first-order difference form, and constructing an acoustic signal feature of each framing signal; based on a transfer learning method, taking a source domain target detection model obtained by using the source domain data set as a target domain initial detection model, and performing fine tuning by using the target domain data set to obtain a target domain target detection model; and inputting acoustic signal features corresponding to real-time underwater sound passive noise signals acquired in real time in the sea area to be identified into the target domain target detection model to obtain an underwater sound passive target detection result.

The invention discloses a low-frequency radio wave propagation phase statistical characteristic prediction method and related equipment, and the method comprises the steps: obtaining the random characteristic of the field intensity of radio waves propagated in a random layered waveguide model through an S-FDTD method based on the Taylor series approximation idea, constructing a constraint equation related to the amplitude and phase variance of a radio wave signal, and carrying out the prediction of the phase statistical characteristic of the low-frequency radio wave propagation. Secondly, a Taylor series approximation thought is introduced again, a plurality of sampling points which are in the same period and approach to zero are searched in a time domain waveform of an electric wave mean field, and then a nonlinear equation set is established at the same time according to a statistical result of field intensity of the sampling points to explore statistical characteristics of an electric wave propagation phase; the low-frequency radio wave propagation phase statistical characteristics are represented by using the average value and the standard deviation of the low-frequency radio wave propagation phase, the prediction of the low-frequency radio wave propagation phase statistical characteristics is realized, and finally, the phase average value and the variance of the signal under the random medium background are successfully obtained only through one-time simulation. According to the phase uncertainty measurement method, thousands of times of brute force simulation limitation of the Monte Carlo method is avoided, and the solving efficiency is greatly improved.

The invention discloses a laser radar zero-blind-area detection system and method based on automatic switching of far and near fields, and solves the problem of low signal receiving efficiency of detection blind areas and far and near fields 100 meters below the ground in the prior art. According to the system, laser emission beams are respectively transmitted along coaxial and off-axis paths through a light splitting module, an aperture diaphragm automatic adjusting device is introduced, a receiving aperture is automatically switched according to far and near field imaging characteristics, and efficient coupling of signals and optimized receiving under a weak light condition are ensured. The system combines far and near field signals to the same optical path by using an automatic beam combination switching device, realizes multichannel signal detection, and supports multifunctional atmospheric parameter monitoring such as aerosol, Raman scattering and the like. The control and data processing system automatically manages signal switching and data processing, operation is simplified, and data reliability is improved. The technology is obviously superior to the prior art in the aspects of detection precision, system integration degree and multifunctional detection capability, and system complexity and cost are reduced.

The invention discloses a compact thermotank, and relates to the technical field of radar equipment, the compact thermotank comprises a thermotank body, the top of the thermotank body is movably provided with a top cover plate, the bottom of the thermotank body is provided with a temperature adjusting assembly, and the temperature adjusting assembly comprises a protective cover body arranged at the bottom of the thermotank body; the TEC semiconductor chilling plate is arranged in the protective cover body, the hot end part is arranged at the bottom of the TEC semiconductor chilling plate, the cold end part is arranged at the top of the TEC semiconductor chilling plate, and the hot end part and the cold end part are both of an integrated form-relieved tooth structure. The cold end fans are arranged at the top of the cold end part and distributed at intervals, the hot end fans are arranged at the two ends of the hot end part and distributed at intervals, a constant-temperature working environment is provided for the receiver through the temperature adjusting assembly arranged in the constant-temperature box body, the temperature noise of the receiver is reduced, the sensitivity is improved, and the reliability of the receiver is improved. The overall performance of the radar is enhanced, and the radar detection effect is improved.

The invention discloses a bionic olfaction system and a flexible electronic nose thereof, and the system comprises a fabric substrate, a flexible gas molecule information sensing module, a flexible ring oscillator, and a flexible gas molecule information storage and calculation module. The flexible gas molecule information sensing module, the flexible ring oscillator and the flexible gas molecule information storage and calculation module are all arranged on the fabric substrate, and the flexible gas molecule information sensing module, the flexible ring oscillator and the flexible gas molecule information storage and calculation module are electrically connected in sequence. According to the invention, the flexibility of the electronic nose is higher, the electronic nose can better fit the surrounding environment, and the electronic nose is endowed with the characteristics of portability, wearable performance and the like.

The invention provides a data processing method based on image information fusion, which can be applied to the technical field of space object detection, and comprises the following steps: acquiring M frames of long exposure images and N frames of short exposure images; extracting information of a dark space object forming a point image from the long-exposure image to obtain a function that the motion trail and the flow of the object change along with time; extracting information of a dark weak source from the short exposure image, wherein the information of the dark weak source comprises a first position and a first flow; calculating a second position and a second flow of the object at the short exposure image acquisition moment based on the motion trail and the function of the flow changing along with time; determining the real position and the real flow of the object based on the position error and the flow error; and obtaining dark space object observation data. And high-precision positioning of the object in the dark space is realized by fusing information of the object in the dark space in different exposure images. The invention further provides a data processing device and equipment based on image information fusion and a medium.

The invention relates to a CMOS voltage-controlled oscillator applied to an anti-interference unmanned aerial vehicle millimeter wave radar, which belongs to the field of millimeter wave radar design and comprises a resonance circuit, a negative resistance active circuit and two switching circuits with the same structure. The resonant circuit comprises a switched capacitor, a blocking capacitor, a resonant capacitor, a grounding resistor, a tuning resistor and a resonant inductor; the negative resistance active circuit comprises a cross coupling pair MOS tube and a current source. Each switch circuit comprises a switch MOS tube, a grounding resistor and a switch coupling inductor. The dual-phase transformer structure is used, the resonant inductor and the switch coupling inductor are mutually inducted, and therefore the inductance value of the resonant inductor is changed, and frequency band switching is achieved; vCO bandwidth tuning is realized through a combination mode of switch-on and switch-off of a switch capacitor and switch-on and switch-off of a switch coupling inductor; the CMOS technology is adopted for design, and miniaturization and integration of the VCO are achieved. While the performance and layout area of the voltage-controlled oscillator are ensured, the full-band broadband tuning range is realized, thereby improving the detectability and resolution of the millimeter wave radar, enabling the unmanned aerial vehicle to realize frequency hopping communication and spread spectrum communication, and effectively improving the anti-interference capability and safety of the unmanned aerial vehicle.

The invention relates to a light and miniature big-target-surface low-light lens, and the lens comprises a front lens group A, a diaphragm B and a rear lens group C, wherein the front lens group A, the diaphragm B and the rear lens group C are sequentially arranged in an incident direction of an optical path. The front lens group A includes a positive meniscus lens A1, a negative meniscus lens A2,a biconcave lens A3 and a biconvex lens A4, wherein the positive meniscus lens A1, the negative meniscus lens A2, the biconcave lens A3 and the biconvex lens A4 are sequentially arranged in an incident direction of the optical path. The biconcave lens A3 and the biconvex lens A4 are in close connection with each other as a first bonding group. The rear lens group C includes a biconcave lens C1, abiconvex lens C2, a biconvex lens C3, a plano-convex lens C4 and a negative meniscus lens C5, wherein the biconcave lens C1, the biconvex lens C2, the biconvex lens C3, the plano-convex lens C4 and the negative meniscus lens C5 are sequentially arranged in an incident direction of the optical path. The biconcave lens C1 and the biconvex lens C2 are in close connection with each other as a secondbonding group. The invention also relates to an imaging method of the lens. The lens is reasonable in design, effectively improves the imaging quality under the requirement of the large target surfaceof the lens, reduces the number of optical lenses, and realizes light and miniature lens. The lens has strong light collecting and light transmitting ability, and the target surface of the lens is large. The lens is high in optical resolution, is large in angle of view, and is large in observable range.

The invention discloses an underwater acoustic array arrival angle estimation method, device and equipment based on self-adaptive kernel width hybrid correlation entropy and a medium, and relates to the technical field of underwater acoustic parameter estimation, and the method comprises the steps: carrying out the optimization processing of an initial data matrix based on a preset hybrid correlation entropy noise filtering method and a self-adaptive kernel width value, and obtaining a target data matrix; performing array arrival angle estimation on the target data matrix to obtain spatial spectrum information used for representing a target orientation; and when the estimated angle difference between any signal sources in the spatial spectrum information is greater than a preset angle difference, judging that the spatial spectrum information is effective estimation. According to the invention, the DOA estimation precision of the underwater acoustic array can be effectively improved.

The invention belongs to the field of transient electromagnetic detection, and particularly relates to a weak coupling transient electromagnetic system based on a differentiating circuit, which is characterized in that a transmitting coil and a receiving coil are arranged in a central loop manner, the centers of the transmitting coil and the receiving coil are overlapped and coplanar, and the receiving coil is positioned in the coverage range of the transmitting coil; the transmitting power supply provides electric energy for the transmitter, the Hall sensor sleeves the transmitting coil and is used for detecting current in the transmitting coil, the Hall sensor converts the current into voltage signals and outputs the voltage signals to the differentiating circuit, and the output end of the differentiating circuit and the output end of the receiving coil are connected to two input ends of the subtraction circuit. The output end of the subtraction circuit is connected into a data acquisition card through an amplifier, and the data acquisition card inputs acquired data into an upper computer to record secondary field signals. According to the method, the limitation of the traditional structure on the size of the receiving coil is overcome, weakening of emission energy is avoided, and meanwhile secondary field signal damage possibly caused by a traditional numerical calculation method is avoided.

The invention provides a polarization integrated imaging detection module applicable to a severe environment, and relates to the technical field of image detection. The system comprises an optical lens, a polarization CMOS sensor, a data transmission link, a control transmission link and an on-chip integrated processing system. Wherein the exposure consistency of the multi-polarization-angle images is ensured by performing acquisition and exposure adjustment on the images at four polarization angles and executing a brightness normalization algorithm, so that the problem of brightness unbalance during multi-image fusion of a traditional exposure algorithm is avoided; besides, through local dynamic range optimization, global gamma correction and a multi-scale fusion method, texture and brightness characteristics at different polarization angles are reserved, and clear and reasonably exposed image generation is realized. The defects in the aspects of atmospheric haze, underwater imaging and strong reflected light processing in the prior art are overcome, high-resolution and high-frame-rate real-time clear imaging is achieved, and reliable image support is provided for various application scenes.

The invention discloses an avalanche diode and a detector, as one example, the avalanche diode includes a substrate; the first electrode has a first doping type, and the first electrode extends into the substrate from one surface of the substrate; the second electrode has a second doping type, the second electrode extends into the substrate from one surface of the substrate, and the second electrode and the first electrode are arranged at an interval; and the diversion structure is annularly arranged on the outer periphery of the first electrode, and the diversion structure extends into the substrate from the first surface. The avalanche diode of the technical scheme of the invention can improve the detection efficiency and is beneficial to production and preparation.

The invention discloses a slow moving object detection method, device and equipment based on a security radar, and the method comprises the steps: S11, carrying out the MTI processing of a plurality of continuous echo signals to be processed, and then carrying out the distance dimension FFT processing; step S12, firstly performing distance dimension FFT processing on the plurality of continuous echo signals to be processed, then performing Doppler dimension FFT processing to obtain a two-dimensional frequency spectrum, and selecting a plurality of reference signals based on the two-dimensional frequency spectrum; step S13, determining a pulse compensation phase difference according to the inter-pulse phase difference of the plurality of reference signals in the distance dimension FFT processing result of the step S11; step S14, compensating each echo signal to be processed after the distance dimension FFT processing in the step S11 by using a pulse compensation phase difference; and S15, performing inter-pulse coherent accumulation on the plurality of compensated echo signals to be processed. The invention belongs to the field of radar detection. According to the invention, the detection performance of the security radar system on slow moving objects can be improved.

The utility model discloses an X-ray diffractometer which comprises a sample table, an X-ray source and at least one detector group, and the sample table is provided with a sample placing area for placing a sample; the X-ray source is used for emitting X-rays to the sample placing area; the detector group comprises a plurality of detectors, the plurality of detectors are arranged in a row along a bent arrangement direction, the arrangement direction extends in a central plane of the detector group, a first surface, with an effective detection area, of each detector faces the sample placement area, and the effective detection area is used for detecting diffracted X-rays; the effective detection areas of the plurality of detectors are arranged at intervals along the arrangement direction. According to the X-ray detection device, the plurality of detectors are arranged in a bent arrangement mode, the plurality of detectors can simultaneously detect diffracted X-rays, so that the detection efficiency is improved, the diffraction information of the X-rays continuously distributed in the space can be obtained, and in addition, due to the fact that effective detection areas of the detectors are two-dimensional pixel arrays, the obtained diffraction information is more.

The invention relates to the technical field of electrical detection, in particular to a multi-stress coupling environment reliability testing method for an electricity consumption information acquisition terminal. Comprising the steps of applying a combined stress field to an electricity utilization information acquisition terminal through an environment test box; acquiring power utilization information acquisition terminal parameters; the method comprises the following steps of: capturing metering pulse response and carrier communication interaction signals of an electricity utilization information acquisition terminal under the excitation of a combined stress field by utilizing an electrical sensor, extracting carrier signal-to-noise ratio data and metering reference drift data, and generating a reference voltage compensation coefficient and an impedance matching threshold value; projecting the carrier signal-to-noise ratio data to an impedance matching threshold value, and constructing a stress failure envelope surface according to a hardware overload protection threshold value; and mapping the communication quality distortion residual vector to a stress failure envelope surface, and calculating a reliability life prediction value. According to the method, a uniform excitation environment is constructed, and performance degradation of different dimensions is uniformly quantified into accumulative stress damage integral, so that the comprehensive anti-interference capability of the terminal in a multi-stress coupling environment can be truly reflected.

The invention relates to the technical field of semiconductor materials and devices, and provides a superlattice infrared detector which comprises a substrate and an epitaxial structure growing on the substrate, the epitaxial structure comprises a superlattice absorption layer, the superlattice absorption layer is provided with multiple stages of A / B superlattice material layers which are sequentially grown in a laminated mode, and the A / B superlattice material layers are arranged on the substrate. Each stage of A / B superlattice material layer is provided with a plurality of layers of A materials and a plurality of layers of B materials which are periodically and alternately grown in a laminated mode, and in the multiple stages of A / B superlattice material layers, the number of atomic layers of the single layer of A material in each stage of A / B superlattice material layer is increased in a stepped mode compared with the number of atomic layers of the single layer of A material in the previous stage of A / B superlattice material layer. The conduction band of each stage of A / B superlattice material layer descends in a stepped manner, and the valence band of each stage of A / B superlattice material layer is kept unchanged. The limitation of short diffusion length can be reduced, the thickness of the absorption region can be effectively increased, the quantum efficiency of the device is improved, and the detection performance of the device is improved.

This invention discloses an artificial intelligence-based method and system for the inspection and control of power distribution networks using unmanned aerial vehicles (UAVs). Relating to the field of UAV power inspection technology, the method includes: adjusting the UAV's pose in real time based on target perception feedback during the inspection process to actively align with the target and acquire images of power components; uploading valid images from the selected images to a cloud-based management platform; identifying power component entities in the selected images and constructing a spatial semantic graph based on the spatial distribution relationships between components; performing topological logic reasoning and feature consistency analysis on the spatial semantic graph to identify abnormal component states and determine the power logic attributes of faulty components; generating maintenance instructions based on the identified abnormal states and power logic attributes and pushing them to the terminal. This invention addresses the problems of high redundancy in original images, insufficient physical positioning accuracy leading to ambiguity in component logical identity identification, and difficulty in identifying long-tail atypical hidden dangers during power distribution network inspection.

The invention provides a multi-band composite high-integration TR assembly. The multi-band composite high-integration TR assembly comprises a shell, a front multi-layer board, a back multi-layer board, a C / X / Ku band receiving and transmitting circuit, a C / X / Ku band single receiving circuit and a Ka band receiving and transmitting circuit, wherein the front multi-layer board and the back multi-layer board are connected in the shell, the C / X / Ku band receiving and transmitting circuit is connected with the front multi-layer board, and the Ka band receiving and transmitting circuit is connected with the back multi-layer board. The low-cost scheme design of an all-solid-state microwave multilayer board suitable for batch production and testing is adopted, ports and transmission line layout are reasonably designed, multi-band composite mode transmission is achieved in the form of the front face and the back face, a C / X / Ku-band transmitting circuit and an H-polarization receiving circuit are integrated on the front face, and the transmission efficiency is improved. A C / X / Ku frequency band V polarization receiving circuit and a Ka frequency band receiving and transmitting circuit are integrated on the reverse side, different functional circuits are respectively transmitted through a microstrip line and a strip line through an interface circuit structure covering 1-40 GHz and an in-board vertical transition structure, the isolation degree of different circuits is improved, mutual crosstalk between different signals is avoided, and the transmission efficiency is improved. And the functions of high integration, high consistency, ultra wide band, numerical control phase shift, numerical control attenuation and the like of the assembly are realized.