752 results about "Signal intensity" patented technology

The invention relates to a cooperative control method and system for realizing self-organizing protection of a multi-unmanned aerial vehicle cluster, and the method comprises the steps: M1, enabling the unmanned aerial vehicle cluster to execute a task, obtaining the data information of the remaining power, RSSI signal intensity and IMU attitude of each unmanned aerial vehicle in real time based on an airborne built-in sensor, and acquiring data information of distances and relative speeds of obstacles around the unmanned aerial vehicles in real time based on an airborne external millimeter-wave radar, constructing a dynamic threshold function stop, and if the RSSI signal strength of each unmanned aerial vehicle is greater than the stop, outputting data information of the residual electric quantity and IMU attitude of each unmanned aerial vehicle. According to the method, misjudgment (such as transient packet loss due to electromagnetic shielding) caused by temporary signal interference is effectively avoided, the misjudgment rate is reduced by 40%, unnecessary return or cluster recombination is reduced, continuous task execution is guaranteed, it is ensured that leader handover is completed quickly (at the millisecond level) when a host fails, and the situation that a cluster falls into disorder due to single-point failure is avoided.

The invention relates to the technical field of sensor data fusion, in particular to a real-time dynamic attitude stability control method and system based on multi-sensor fusion, and the method comprises the following steps: collecting multi-source sensor data, and correcting to generate a synchronous sensor data set; calculating a stability coefficient, a signal quality coefficient and a consistency coefficient, weighting the signal quality coefficient and the consistency coefficient to generate a dynamic fusion weight coefficient, executing weighted fusion based on the weight, outputting a fusion attitude state estimation result through adaptive extended Kalman filtering, and generating an optimization control instruction sequence by combining with dynamic constraint model rolling optimization; according to the method, a dynamic weight mechanism based on noise and signal strength is introduced to achieve self-adaptive fusion, the synchronization precision and reliability are improved by combining consistency verification, abnormal signals are corrected through self-adaptive filtering, the attitude estimation stability is enhanced, and the performance of the system is improved. And a control instruction is generated through rolling optimization, so that rapid and accurate adjustment is realized, and attitude keeping and control consistency in a complex environment is improved.

The invention relates to the technical field of semiconductor wafer defect detection, and discloses a semiconductor wafer defect detection method and system, and the method comprises the steps: generating a spatial staggered excitation pattern, and projecting the spatial staggered excitation pattern to the surface of a semiconductor wafer, the spatial staggered excitation pattern comprising an excited region and an unexcited region; capturing an optical image of the surface of the semiconductor wafer; according to the optical image, calculating the difference between the optical signal intensity of the excited area and the optical signal intensity of the adjacent non-excited area in the optical image; according to the difference, carrying out background deduction on the optical image so as to display a potential defect signal; and identifying the manifested potential defect signal. Therefore, the method can significantly improve the sensitivity, accuracy and efficiency of semiconductor wafer defect detection, thereby effectively improving the yield and reliability of semiconductor products, and reducing the production cost.

The invention provides a method for detecting an external vesicle marker through high-flux nano plasma exciting light immune color development, and belongs to the technical field of human extracellular vesicles. After a serum sample is subjected to centrifugal treatment, the serum sample and a CD81 capture antibody substrate are incubated, and the particle size distribution of the vesicles is monitored in real time; a zwitterionic polymer modified gold nanoparticle LAM detection probe and a polyethylene glycol modified silver nanoparticle LprG detection probe are prepared to be specifically combined with a vesicle surface antigen, a chromogenic enhancement solution is adopted to induce a plasma resonance signal, and full-hole scanning imaging is carried out; and constructing a double-layer game optimization model to cooperatively optimize the detection sensitivity and the signal stability, carrying out weighted summation on normalized signals of the particle size subgroups to obtain comprehensive detection signal intensity, comparing the comprehensive detection signal intensity with a threshold value, and outputting a final judgment result. The technical problem that quantitative accuracy is affected by signal intensity deviation caused by vesicle particle size difference in outer vesicle marker detection is solved.

The invention discloses an indoor and outdoor navigation method, device and equipment, and relates to the technical field of computers. The method is applied to an edge device, the edge device is carried on a robot, and the method comprises the steps that after it is detected that the robot is started outdoors, a first planned path is generated based on the initial position of the robot, an outdoor offline map and the indoor entrance position; when it is detected that the intensity of the entrance marker and the GPS signal at the indoor entrance position is smaller than an intensity threshold value, an indoor navigation mode is triggered; constructing an indoor coordinate system by taking the indoor entrance position as an original point; indoor motion data of the robot and image data of the environment where the robot is located are obtained through an inertial measurement unit and image acquisition equipment; determining a current indoor coordinate of the robot based on the indoor map, the indoor motion data and the image data; and generating a second planning path based on the indoor coordinate system, the current indoor coordinate and the target task point. According to the scheme, the navigation efficiency can be improved.

The invention discloses a spiral resonance photoacoustic cell and an operation method, the spiral resonance photoacoustic cell comprises a gas chamber straight tube, a spiral tube, an optical fiber collimator and an optical fiber F-P sonic sensor, the two ends of the gas chamber straight tube are open, the two ends of the spiral tube are communicated with the gas chamber straight tube, an acoustic resonance point is formed at the center of the spiral tube, and the optical fiber F-P sonic sensor is arranged in the central area of the spiral tube; and the optical fiber collimator is arranged at one end of the air chamber straight pipe. The spiral pipe is wound outside the air chamber straight pipe, the spiral pipe is communicated with the air chamber straight pipe, the structural design of the spiral pipe enables the spiral pipe to form acoustic resonance at a specific frequency, and the optical fiber F-P sonic sensor obtains a photoacoustic signal; compared with a conventional resonance photoacoustic cell, the physical volume of the resonance photoacoustic cell is greatly compressed, and the system integration level is effectively improved. More importantly, under the condition that a compact appearance similar to that of a non-resonant photoacoustic cell is kept, the device amplifies the photoacoustic signal intensity by several times through an acoustic resonance effect, and the detection sensitivity and the signal-to-noise ratio of the system are remarkably improved.

The invention relates to the technical field of defect detection, and discloses a laser radar defect identification method and system based on visual inspection, and the method comprises the steps: collecting an original scattering image of the surface of equipment, carrying out the denoising, and enhancing the details, and obtaining a clear scattering image; obtaining signal intensity distribution diagrams corresponding to the multiple alternative light wavelengths, analyzing the signal intensity distribution diagrams, and determining a target light wavelength; performing iterative optimization on the target optical wavelength to obtain an optical wavelength parameter; re-collecting a scattering image on the surface of the equipment to obtain a re-collected scattering image, and carrying out secondary detail enhancement on the re-collected scattering image to obtain an enhanced scattering image; generating a scattering intensity curve according to the enhanced scattering image, and performing standardization processing to obtain a standard distribution result; obtaining defect position shape data according to the standard distribution result; and matching the defect position shape data with a preset defect library, and processing parameters to obtain defect identification data. The method can realize high-precision positioning of tiny defects.

The invention discloses a visibility inversion method and device of a laser radar, equipment and a storage medium, and relates to the technical field of laser, and the method comprises the steps: determining a detection range boundary based on a laser radar voltage value and a preset threshold value; synchronously measuring the visibility in a segmented manner by using a ground single-point measurement visibility meter and a laser radar visibility meter, and performing inversion to obtain a function value; constructing a joint relation model by combining a laser radar equation according to the average error of the function value and the radar measurement signal, and generating a parameter mapping relation lookup table; acquiring signal intensity by means of a near-field visibility measuring device, and determining a target laser radar ratio and an extinction coefficient through the look-up table; and finally, resolving an extinction coefficient profile and inverting a visibility profile by adopting a Fernald inversion algorithm in combination with the laser echo signal path, the target extinction coefficient and the laser radar ratio. The efficiency of laser radar visibility inversion is improved.

The utility model discloses a control host of a surgical field shooting device and the surgical field shooting device, the control host of the surgical field shooting device comprises a housing, the housing is provided with a mounting cavity, the housing is provided with a first housing wall, the first housing wall is provided with a mounting port, the mounting port is communicated with the mounting cavity, and the mounting cavity is provided with an accommodating area corresponding to the mounting port; the main control board is mounted in the mounting cavity; the communication module is accommodated in the accommodating area through the mounting port, and the communication module is electrically connected with the main control board; the display screen is installed on the outer surface of the first shell wall and electrically connected with the main control board, the display screen is provided with a display area and a non-display area, the display area is used for displaying pictures, and the non-display area covers the installation opening. The communication signal of the communication module can penetrate into or out of the shell through the display screen, and the display screen can reduce the interference effect on the communication signal of the communication module, so that the signal strength of the communication module can be improved, and the communication effect between the control host and the external intelligent equipment is improved.

The invention belongs to the technical field of visible light positioning, and relates to a visible light sparse fingerprint positioning method and system based on MLS-WKNN and a medium, and the method comprises the steps: collecting the received signal strength of a sampling point; fitting a received signal strength prediction value of each light source at the interpolation point through a moving least square method; constructing a dense fingerprint database through the received signal strength of the sampling points and the received signal strength predicted values of the interpolation points; collecting the real-time receiving signal intensity of the target point; and based on the real-time received signal strength and the dense fingerprint database, obtaining an accurate position estimation value of the target point through a weighted K-nearest neighbor algorithm. The sparse fingerprint database is subjected to MLS interpolation, the precision of sparse visible light fingerprint positioning is improved, and compared with an existing interpolation mode, the positioning precision is higher.

The invention relates to the technical field of unmanned aerial vehicle detection and security and protection, and discloses a low-altitude unmanned aerial vehicle dual-mode detection method based on micro Doppler radar and infrared thermal imaging. According to the method, a monitoring area is continuously scanned through a micro-Doppler radar, and when a suspected target with the signal intensity lower than a preset threshold value is recognized, an infrared thermal imaging device is triggered to be started. The infrared device directly adjusts the orientation and focuses to a specific area according to the target orientation and distance information provided by the radar, and obtains a high-resolution thermal imaging sequence. And then the radiation temperature distribution, the temperature gradient and the thermal profile morphological characteristics of the target are analyzed, and final judgment is completed. According to the invention, on-demand starting and rapid and accurate guiding of the infrared sensor are realized, the overall power consumption of the system is reduced, and the cooperative detection response speed and the identification precision of the rapid moving target are improved at the same time.

The invention discloses a monitoring system and method for determining an abnormal geologic body based on distributed optical fiber sound wave vibration, and relates to the technical field of distributed optical fiber sound wave detection.The monitoring system comprises a distributed optical fiber sensing unit, a signal excitation unit, a photoelectric demodulation unit, a signal processing and analyzing unit, a result recording and outputting unit and the like; the distributed optical fiber is used for continuously collecting stratum vibration response; the signal excitation unit applies controllable disturbance to a known reference position to induce a potential abnormal geologic body to generate an inactive excitation response signal; the photoelectric demodulation unit performs phase demodulation on backscattered light transmitted back by the optical fiber to form distributed vibration measurement data; and the signal processing and analyzing unit is used for filtering and denoising the data, establishing a quantitative mathematical model of a signal incident angle and signal intensity, solving an epicentral distance and an incident angle and calculating the spatial position of an abnormal geologic body by combining propagation attenuation correction and least square inversion, and is suitable for dangerous section identification and avoidance decision before mining and construction.

The invention discloses a multi-band same-screen display spectrum analysis method, and relates to the technical field of radio signal monitoring, and the method comprises the steps: collecting an electromagnetic signal in a to-be-monitored spectrum to generate original signal data; performing spectrum analysis on the original data, and extracting frequency and signal intensity features to form spectrum feature data; counting signal density based on the characteristic data, and generating signal density distribution data; dynamically dividing sub-frequency bands according to the density data and matching corresponding spectral analysis resolutions; analyzing each sub-frequency band to generate spectrum analysis data; and after normalization processing, performing same-screen rendering on the multi-sub-band data, and labeling corresponding spectrum parameters at the same time. According to the invention, through dynamic segmentation and resolution adaptation, monitoring precision and processing efficiency are considered, multi-band on-screen display visually presents full-spectrum features, the operation process is simplified, information reading convenience is improved, and the method is suitable for ultra-wide spectrum monitoring scenes.

The invention discloses a nano-enzyme-SERS (Surface Enhanced Raman Scattering) bifunctional sensor for detecting colorectal cancer markers with high sensitivity as well as a preparation method and application of the nano-enzyme-SERS bifunctional sensor. The preparation method comprises the following steps: coating a layer of platinum (Pt) on the surface of gold nanoparticles (AuNPs) by utilizing a chemical reduction method so as to form gold-platinum nanoparticles (Au (at) Pt NPs); assembling the synthesized Au (at) Pt NPs into an aminated capillary tube through electrostatic adsorption, so as to prepare a capillary tube SERS (Surface Enhanced Raman Scattering) substrate; the surface of Au (at) Pt NPs is modified with a marker aptamer through an Au-S bond, and the nano enzyme-SERS dual-function sensor is prepared. In the presence of hydrogen peroxide (H2O2), the Au (at) Pt NPs can catalyze the oxidation of 3, 3 ', 5, 5'-tetramethyl benzidine (TMB) to generate oxidized TMB (oxTMB) with a strong SERS (Surface Enhanced Raman Scattering) signal. When Hcy exists, the reductive sulfydryl of Hcy consumes hydroxyl free radicals (. OH) generated by H2O2 decomposition, so that TMB oxidation is inhibited, and SERS signal intensity is weakened. A linear regression equation of the logarithm of the Hcy concentration and the signal intensity is drawn according to the SERS signal intensity, so that quantitative detection of the Hcy is realized.

The invention discloses a laser power monitoring device. A sampling mirror, a focusing mirror, a spectroscope, an attenuation filtering assembly and a power detection assembly are sequentially arranged in the light path direction. Wherein the attenuation light filtering unit comprises a first attenuation sheet, a second attenuation sheet and a light filter; real-time online monitoring of the laser power in the machining process is achieved, and instantaneous power fluctuation is effectively captured. The detection sensitivity is improved by the enhanced sampling signal intensity, the interference of environmental stray light is inhibited by the multi-stage light splitting structure, and the influence of thermal radiation is eliminated by the gradient attenuation and filtering combined design. The device can stably work in a high-temperature processing environment, and provides reliable data support for closed-loop power control.

The invention discloses a tissue slice high-resolution mass spectrum imaging method and system based on multi-modal data fusion, and belongs to the technical field of mass spectrum imaging and biomedical detection. The method comprises the steps of multi-modal data acquisition, data preprocessing, feature extraction, multi-modal data fusion and high-resolution imaging reconstruction. High-resolution mass spectrum data and high-stability auxiliary modal data are synchronously collected, after preprocessing and feature extraction, feature weights are dynamically distributed and fused by using a fusion model based on an attention mechanism, and then a high-resolution and high-sensitivity imaging result is output through an imaging reconstruction model of a U-Net improved architecture. On the premise that the spatial resolution is not reduced and the sample is not damaged, the mass spectrum signal intensity is effectively enhanced, the low-abundance biomarker recognition capability is improved, the imaging efficiency is high, the adaptability is high, and the method is suitable for biomedical research and clinical diagnosis scenes.

The invention relates to the technical field of information technology and industrial safety management, and discloses a hazardous waste whole-process risk prevention and control method and system. The method comprises the following steps: acquiring a real-time monitoring data set of each link of the hazardous waste management chain; calculating the fluctuation amplitude of the environment change indexes and analyzing the distribution characteristics of the operation deviation marks; when the two meet a preset condition, judging the initial signal intensity of risk upgrading by utilizing a classification model; screening high-intensity signals and inputting the high-intensity signals into the regression model to obtain a risk transformation trend; matching the risk conversion trend with a historical risk mode to generate a dynamic monitoring adjustment parameter; if the parameter indicates that the monitoring sensitivity is insufficient, fusing additional sensor data to generate an enhanced monitoring data set; and tracking a risk propagation path based on the enhanced data set, and predicting an occurrence position and a time point of a risk peak value. According to the method, the real-time performance, the accuracy and the response speed of hazardous waste management are improved, and the effect of risk prediction and management is remarkably enhanced.

The invention discloses a GIS latent defect diagnosis method and system based on multi-source signal fusion, and belongs to the field of power equipment fault diagnos.The method comprises the steps that a UWB sensor is adopted to monitor PD signals in a GIS, real-time filtering and spectral analysis are conducted on the signals in combination with an FPGA preprocessing chip, and the sampling sensitivity is dynamically adjusted according to the PD signal strength; gIS internal ultrasonic source three-dimensional imaging is realized by adopting a three-dimensional ultrasonic array; pD and ultrasonic signals are processed based on wavelet transform, PD and ultrasonic data are processed based on CNN, and a signal time sequence is processed by LSTM; constructing a GIS fault knowledge graph, setting expert rules, and calculating a GIS fault occurrence probability by adopting Bayesian reasoning; and predicting a GIS fault evolution path according to the Markov chain model, and performing dynamic adjustment in combination with reinforcement learning. According to the method, the fault state transition model of the GIS equipment is established based on the Markov chain, the evolution probability between different fault states is quantified, long-term steady-state fault risk assessment is provided, and the operation health condition of the GIS equipment can be prejudged.

The invention provides a water quality fingerprint identification and feed-forward addition control method and system, and the method comprises the steps: obtaining a UV254 absorption value and tyrosine-like and tryptophan-like fluorescence peak signal intensity, and carrying out data fusion preprocessing to generate inflow water quality characteristic fingerprint data; through a preset UV254-BOD / COD prediction model and a fluorescence characteristic ratio correction model, outputting a predicted BOD / COD ratio and an effective carbon content; calculating the theoretical carbon source quantity according to a denitrification theoretical model by combining the real-time water inlet flow and the total nitrogen concentration, deducting the effective carbon content to obtain the external carbon source demand quantity, and outputting a carbon source adding quantity predicted value after the time sequence is adjusted; the predicted value is used as a feedforward control signal, effluent total nitrogen monitoring data is used as a feedback control signal, a final control quantity is obtained through a compound control algorithm, and the final control quantity is converted into an operation instruction of the carbon source adding device and executed. According to the invention, the biodegradability is evaluated by rapidly detecting the water quality characteristics of inlet water, the carbon source demand is calculated, and the accurate addition of the carbon source is realized by adopting a feedforward-feedback composite control strategy.

The invention designs a preparation method of a magnetic molecular imprinting-aptamer sandwich fluorescence sensor for detecting kanamycin. And the magnetic molecular imprinting composite material Fe3O4 (at) UiO-66 (at) MIP with a specific adsorption target object KANA is prepared. When a detection target object KANA exists, the Fe3O4-coated UiO-66-coated MIP can rapidly and specifically capture the KANA in a short time. Then, a DNA single-stranded aptamer marked with FAM is added, after the aptamer and KANA captured on the surface of the Fe3O4 at-UiO-66 at-MIP are subjected to specific recognition and magnetic separation again, an aptamer probe can enter sediment along with the magnetic composite material Fe3O4 at-UiO-66 at-MIP, the fluorescence intensity of supernate is reduced, and quantitative analysis is conducted according to the fluorescence difference value delta F. When the KANA does not exist, the aptamer cannot enter the precipitate, so that the fluorescence signal intensity is not changed. Double recognition is formed through specific binding of an MIP imprinting cavity and the aptamer, matrix interference is reduced by means of fluorescence characteristics and magnetic separation capacity, the method has the advantages of being high in adsorption capacity, specific in recognition, high in sensitivity, wide in detection range, good in selectivity and the like, and rapid and accurate detection of KANA in a complex sample can be achieved.

Systems and methods taught herein utilize a single detector to provide both unidimensional data (e.g., for direct topographical imaging) and multidimensional data (e.g., for crystallographic data) for a sample that is interrogated with a charged particle beam. In some examples, unidimensional data can include signal intensity due to backscattered electrons received across the entire detector surface while multidimensional data can include signal intensity due to backscattered electrons as a function of pixel position. By obtaining unidimensional data and multidimensional data from a single detector, the unidimensional data and multidimensional data can be obtained at a same location, at a same time, or both at the same location and same time.

The invention discloses a gesture recognition control method and system for a range hood and the range hood. According to the gesture recognition control method for the range hood, two sets of infrared geminate transistor sensors are controlled to emit infrared emission signals with preset coding values in a synchronous period; acquiring the signal intensity, the signal coding matching degree and the receiving time interval of two groups of corresponding infrared receiving signals after the two groups of infrared sending signals are reflected, judging whether an effective gesture judgment condition is met or not based on the signal intensity, the signal coding matching degree and the receiving time interval, and when the effective gesture judgment condition is met, executing the step 2; if yes, the gestures currently detected by the two sets of infrared geminate transistor sensors are determined to be effective gestures, and the range hood is controlled to execute control actions corresponding to the control instructions based on the control instructions corresponding to the effective gestures; coding verification, intensity verification and sequential logic-based dual-channel correlation judgment are carried out on the two groups of infrared receiving signals, so that efficient, reliable and high-interference-resistance non-contact waving action recognition can be ensured.

The invention provides a laser radar adjusting method and system for rainy and foggy weather, a medium and a vehicle, and belongs to the technical field of intelligent driving, and the method comprises the steps: obtaining real-time weather state information which comprises at least one of rainfall information and foggy weather visibility information; based on the real-time weather state information, calculating an influence factor of a current weather condition on a laser radar atmospheric propagation path; based on the influence factor, determining a laser radar atmospheric attenuation coefficient under the current weather condition; and based on the atmospheric attenuation coefficient, adjusting working parameters of the laser radar to compensate echo signal intensity reduction caused by atmospheric attenuation. According to the invention, the accuracy of laser radar adjustment in rainy and foggy weather is improved, and the intelligent degree and safety of intelligent driving are improved.

The invention relates to the technical field of data processing alignment, in particular to a long-distance photoelectric sensor focusing calibration method and system, and the method comprises the following steps: starting a laser transmitter with an end to monitor a photoelectric array, obtaining the light intensity and three-dimensional coordinates of multiple sampling points, and carrying out the filtering; and extracting edge and radial light intensity, calculating a gradient vector through derivative difference and generating an offset direction vector, extracting symmetrical sampling points based on the vector to construct a balance ratio sequence, generating an offset angle through a mean square error model, and mapping the angle and the vector to generate a calibration instruction. According to the method, multi-sampling-point light intensity is associated with three-dimensional coordinates, median filtering is executed to remove noise, gradient is extracted through derivative difference to achieve spatial offset direction mapping, an offset angle value is finely solved in combination with a balance ratio sequence and a mean square error model, and parameter stability is ensured; the offset vector and the angle are correlated to execute coordinate mapping operation to compensate the angle deviation, real-time automatic correction of the pose of the transmitting end is achieved, and the long-distance alignment efficiency and the signal intensity of the sensor are improved.

The invention relates to the technical field of dental image shooting, and discloses a label-based intelligent positioning method and device, a positioner and a ray machine, and the method comprises the steps: collecting response signals of a plurality of induction labels of an imaging sensor aiming at a signal transmitted by a label positioner arranged on the ray machine, and receiving signal intensity and carrier phase information; the method comprises the following steps: estimating an estimated distance for any induction tag by fusing a linear relationship between an attenuation model of received signal strength and a carrier phase, and eliminating a single tag error by utilizing multi-point sampling in combination with the estimated distance and position information of all the induction tags and a position offset generated by a positioning imaging sensor relative to a ray machine, so as to realize submillimeter-level accurate positioning. The alignment accuracy and efficiency of the two are improved, so that the position is accurate when the dental X image is shot, and the imaging sensor is ensured to completely fall into the range of the projection area; the device is flexible in installation, low in cost, small in angle dependence, and suitable for low-power-consumption scenes where the size of the sensor in the oral cavity is limited and no independent power supply exists.

The present application belongs to the field of optical microscopic imaging technology, and particularly relates to a coherent Raman microscopic imaging method based on a plane-parallel microcavity. The present application first applies a plane-parallel microcavity structure, i.e. a Fabry-Perot resonant cavity, to a traditional coherent Raman microscopic imaging, designs a microcavity structure with different reflectivity coating, and respectively controls coherent anti-Stokes Raman scattering and stimulated Raman scattering processes, so as to couple spatial structure information of a sample and Raman signals to generate new spectra and images, and respectively realize cavity-enhanced coherent anti-Stokes Raman scattering imaging and cavity-enhanced stimulated Raman scattering imaging. Compared with the traditional coherent Raman microscopic imaging, the present application improves signal intensity, and simultaneously acquires spatial structure information and chemical information of a sample, so as to provide more dimensional information of the sample, and compared with the traditional biological microcavity sensing imaging, can realize fast and label-free imaging, and has wide application prospects in the fields of biomedical detection and the like.

The application belongs to the field of spectral measurement and imaging, and specifically discloses a single-photon detection device and a rapid spectral and imaging system based on the same. According to the application, a transmission optical fiber spectrometer separates each waveband complex light according to wavelength in space, and couples the photons of different wavelengths into an optical fiber array for time delay, so that the different wavelengths are delayed to different time points and output to a single-photon detection device. The single-photon detection device converts the photons of different wavelengths arriving at the device in time sequence into electrical signals, and obtains the number of photons at different time points after amplification and signal processing, and converts the number of photons into a spectrum. Since the transmission spectrometer can provide higher diffraction efficiency, higher spectral resolution and signal strength, the single-photon detection device can provide a faster and more accurate photon discrimination and photon counting method, and compared with the prior art, the whole can measure the spectrum more quickly, and has higher spectral resolution and signal strength.

The invention discloses an audio playing method and device under a broadcast network, equipment and a storage medium. Acquiring first sequence signal data and motion state information of a current user in a process of receiving a first audio stream sent by a first transmitter for audio playing; the first sequence signal data is obtained by performing intensity sampling on a signal of the first transmitter according to a time sequence; performing signal switching prediction on the first transmitter according to the first sequence signal data and the motion state information to obtain a signal switching prediction result; when the signal switching prediction result indicates that signal switching is carried out, determining switching trigger time; when the system time reaches the switching trigger time, the audio switching time is determined according to the signal synchronization data sent by the second transmitter; and when the system time reaches the audio switching time, switching to the second audio stream sent by the second transmitter. The problems of delay lagging, power consumption increase, low switching efficiency and the like in the prior art are effectively solved.

The invention discloses a carbon nano tube Raman spectrum batch simulation method based on Gaussian light spot modeling and a related device, and relates to the technical field of high-flux carbon nano tube characterization, the method comprises the following steps: constructing a laser light spot area with light spot intensity conforming to Gaussian distribution based on a Gaussian model; randomly generating a plurality of simulation space coordinates in the region, and enabling the simulation space coordinates to correspond to Raman spectrum data of the carbon nanotubes with different chiral indexes; obtaining the effective chord length of the carbon nanotube, and calculating the signal intensity of the single tube in combination with the light spot intensity distribution; calculating the spatial weight of each carbon nanotube by taking the signal intensity of the central position of the light spot as a reference; and obtaining corresponding Raman spectrum data from a pre-established single-spectrum database in combination with the chiral index, and carrying out weight superposition to obtain total Raman spectrum data. According to the scheme, an actual detection scene can be accurately reproduced, and time consumed by single-time carbon nanotube Raman spectrum superposition is lt; and multi-chirality combination is supported, the simulation precision and efficiency are remarkably improved, and the characterization requirement of the high-flux carbon nano tube is met.

The invention provides a linear beam span sensitivity homogenization calibration method and device based on an optical attenuation model, and relates to the field of linear beam detector calibration. The method comprises the following steps: constructing an optical attenuation model based on historical data, and obtaining a calibration range corresponding table between an installation distance and an optimal calibration range; acquiring a maximum infrared signal intensity value which has the maximum system gain and is within a preset signal margin; querying an optimal calibration range corresponding to the maximum infrared signal intensity value Vmax through a calibration range corresponding table, and calculating a distance judgment reference value based on the optimal calibration range; the automatic judging device is operated to obtain the installation distance, and the optimal calibration range is determined and recorded as the target calibration range; synchronously adjusting the current gain of the transmitting end and the signal gain of the receiving end; and carrying out consistency verification on the infrared signal intensity value, and if the verification is passed, automatically setting an alarm threshold value by adopting a relative attenuation model. The technical problems of different alarm sensitivity and poor calibration consistency under different installation distances are solved.