1187 results about "Probe signal" patented technology

The invention relates to the technical field of probe testing, and discloses a probe testing device and method, and the method comprises the steps: carrying out the synchronous collection of the electric signal response characteristics of a plurality of chip testing probes in a chip contact process, analyzing the signal transmission interference relation between the probes, and obtaining a multi-probe signal coupling feature pattern; identifying a target signal transmission channel to obtain a first test probe configuration scheme; performing test signal input and response acquisition on the chip to obtain electrical characteristic time-frequency data of the chip; and performing multi-probe collaborative analysis and feature extraction on the time-frequency data of the electrical characteristics of the chip to obtain abnormal indication information of the electrical performance of the chip, and adjusting test parameters and contact positions of a plurality of chip test probes to obtain a configuration scheme of a second test probe. Therefore, the test system can intelligently adjust the subsequent test strategy according to the preliminary test result, and the intelligence and automation of the test process are realized.

The invention provides a multi-sensor fusion unmanned aerial vehicle detection method and system, and the method comprises the steps: receiving data streams of all sensors, obtaining a comprehensive perception information set, carrying out the analysis of the comprehensive perception information set through a deep learning model, and generating dynamic target behavior mode data, the method comprises the following steps: carrying out signal quality optimization by applying a method of combining an adaptive noise cancellation technology and a machine learning optimized filter, generating an optimized detection signal, carrying out flight path prediction through a predictive analysis algorithm, generating predicted flight path data, processing a comprehensive perception information set by utilizing a distributed edge computing framework, and carrying out flight path prediction. The deep learning model is optimized through a federated learning mechanism, an optimized detection strategy is generated, and an updated detection process is generated based on the predicted flight path data and the optimized detection strategy; according to the technical scheme provided by the invention, the accuracy of target identification is enhanced, the high quality of the signal is ensured, the detection capability under a low-visibility condition is ensured, and quick response is realized.

The invention provides a multi-target tracking and interference cooperation method and system based on a millimeter wave radar. The method comprises the following steps: firstly, acquiring an original detection signal in real time by using a millimeter-wave radar carried by an unmanned aerial vehicle, establishing a track correlation sequence of each moving target, extracting interference waveform characteristics formed by signal coupling among a plurality of moving targets in the original detection signal, and then, according to a spatial distribution parameter of the interference waveform characteristics, determining a track correlation sequence of each moving target; correcting the space-time continuity judgment rule of the trajectory correlation sequence, and finally outputting an anti-interference cooperative tracking result based on the corrected space-time continuity judgment rule. According to the technical scheme provided by the invention, the industry pain point that waveform distortion interference of the millimeter wave radar in a dense target scene cannot be eradicated is solved, and the error correlation rate in a dense formation scene is also reduced.

The invention provides an unmanned aerial vehicle full-band countering method and system based on acousto-optic-electric composite detection. According to the invention, through synchronous cooperative detection of sound wave sensing, optical imaging and electromagnetic spectrum analysis, a composite detection signal is generated; based on the relevance between the acoustic characteristic frequency band and the electromagnetic control frequency band, extracting the working mode characteristics of the unmanned aerial vehicle and generating dynamic interference parameters; generating a synchronous interference instruction according to the time domain modulation characteristic of the dynamic interference parameter; in combination with abnormal noise distribution characteristics captured by the acoustic module and flight path offset identified by the optical module, power distribution and frequency band coverage of the interference instruction are corrected in real time, and optimized interference parameters are generated; and finally, a dynamic interference map is generated through overlapping frequency spectrum fusion of the dynamic interference parameters and the optimized interference parameters, accurate cooperative suppression is realized, full-band real-time accurate suppression of navigation, communication and power control signals of the target unmanned aerial vehicle is realized, and the countering efficiency in a complex scene is remarkably improved.

The invention provides a vortex aircraft detection signal processing method and system based on optical fiber sensing. The method comprises the following steps: firstly, acquiring an original micro-vibration signal; secondly, performing environment self-adaptive cooperative processing on the original micro-vibration signal to generate a self-adaptive micro-vibration signal; converting the generated self-adaptive micro-vibration signal into a spatio-temporal evolution sequence based on eddy current physical characteristics; then analyzing the spatio-temporal evolution sequence to output a type discrimination result of the vortex aircraft; and finally, generating a customized detection report based on the type discrimination result. According to the technical scheme provided by the invention, the detection and identification capability of a low-altitude low-speed small target in a complex environment is improved, and reliable detection and identification of the vortex aircraft in the complex environment are also realized.

The invention discloses a coal fire area fracture active enhancement detection test system and method, and belongs to the technical field of mine safety and geophysical exploration, and the system comprises a fracture generation module which is used for simulating a heat-force-gas coupling condition of an underground coal fire area, and inducing a coal rock mass test piece to generate a fracture; the fracture detection module is used for synchronously acquiring multi-physics field data of the coal and rock mass test piece in real time; the fracture intervention module is used for injecting a natural medium simulant and an enhanced medium foam gel material into the fracture so as to simulate a real environment and enhance a detection signal; and the intelligent feedback and data fusion module is used for controlling operation parameters of each module, synchronously acquiring detection data, and performing fusion processing, intelligent inversion and four-dimensional visualization on the detection data to realize whole-process monitoring detection of fracture evolution. The invention provides a scientific method for precise delineation and targeted plugging treatment of hidden fractures in a coal fire area, and solves the problems of multiplicity of solution in traditional fracture detection and easy reburning in coal fire treatment.

The invention relates to a human motion data processing method, and belongs to the technical field of data processing. Comprising the following steps: controlling a microwave radar to emit a detection signal, and detecting a heart rate signal and a respiration signal of a human body; performing clustering analysis on the data according to the collected heart rate and respiratory rate, and extracting heart rate, respiratory rate change, duration and exercise intensity characteristics; according to the extracted heart rate change, duration, exercise intensity and other characteristics, the exercise stage is recognized, and according to the neural network model library, an energy consumption result is output in combination with data analysis. According to the human motion data processing method provided by the invention, the microwave radar is combined with the intelligent wearable device, so that the detection precision of heart rate and respiration signals is remarkably improved, multi-modal data fusion is realized, personalized heart rate prediction is performed, motion stage division is optimized in combination with acceleration data, and the accuracy of motion data processing is improved. The accuracy of motion mode recognition is improved, and personalized motion suggestions can be provided for the user.

The invention discloses a pattern recognition type metal pipeline anticorrosive coating quality detection device and system, belongs to the technical field of sensing monitoring, and aims to solve the problems of low detection precision and difficulty in positioning of damaged points of a metal pipeline anticorrosive coating under the interference of a complex environment. The method comprises the following steps: generating an environmental interference spectrum feature library through full-range frequency band pre-scanning, dynamically establishing a reference noise level, screening candidate frequencies of detection signals, and switching the frequencies as required to guarantee signal quality; synchronously acquiring a potential gradient and an electromagnetic radiation signal, and marking space-time coordinates; performing deep processing on the acquired signals, separating multi-frequency signals, correcting attenuation, and constructing a multi-dimensional feature vector; based on the feature vector, a space-time abnormal mode is extracted to position a damage point, through damage type classification, region area measurement and depth evaluation, the damage severity is quantified, accurate data support is provided for pipeline maintenance, and the accuracy and reliability of metal pipeline anticorrosive coating detection are effectively improved.

The invention relates to a method and a device for probing a subsurface structure. The method comprises the steps of (a) sending a probe signal as an electromagnetic wave into the structure. (b) receiving an echo signal of the electromagnetic wave from the structure, and (c) processing the echo signal for deriving information about the structure. The step (c) of processing the echo signal comprises sampling the echo signal at a sampling frequency fs. The probe signal comprises multiple discrete frequency components fn,k, wherein at least two of the multiple frequency components fn,k are located in different Nyquist zones. An n-th Nyquist zone covers a frequency range from (n−1)*Tfs / 2 to n*fs / 2 with fs being the sampling frequency and n=1, 2 . . . . Further, k=1 . . . K and K is the number of frequency components fn,k in the n-th Nyquist zone. The method and device facilitate an increase in data acquisition speed without losing information on any of the frequency components.

The invention relates to the technical field of integrated supply chain plan collaboration, and discloses an integrated supply chain plan collaboration intelligent decision-making method and system, and the method comprises the steps: decomposing a single prediction value into a commitment layer signal and an option layer signal, generating a differential signal, generating an agility index through issuing a periodic probe signal, and carrying out the calculation of the agility index; the method comprises the following steps: establishing an agility index of each option signal, calculating a collaborative entropy index based on the time value of each option signal, and finally, carrying out closed-loop dynamic adjustment on a decision activation threshold according to the agility index and the collaborative entropy index. Therefore, the problem of plan vulnerability caused by the fact that a traditional planning system depends on a single deterministic predicted value is solved, the whole collaborative system internally accommodates uncertainty at an information source, the operation stability of the collaborative system does not excessively depend on prediction accuracy any more, and mode conversion from passive prediction execution to active preparation response is achieved.

The invention relates to the technical field of mine safety monitoring, and discloses a mine safety monitoring information acquisition system and method, and the method comprises the steps: collecting dynamic parameters through an environment sensor, and adding a digital signature with a unique identifier for a data packet; when the threshold value is exceeded, the deformation measuring device is activated to scan the target area, and the instruction comprises a timestamp and an identity credential. Detection signals and vibration data are synchronously collected and encrypted; a rock mass state model is generated; deformation information is calculated and safely stored; multi-source data cross validation is carried out to improve the measurement accuracy; through the intelligent and automatic monitoring method, the real-time performance and accuracy of mine safety monitoring data can be effectively improved, and the influence of human factors on data acquisition is reduced. By combining high-precision deformation measurement and signal analysis technologies, potential dangerous areas can be quickly and accurately identified and positioned, and timely and effective early warning can be provided for mine operating personnel.

The invention discloses an intelligent survey system and method for deep-sea middle-layer fish resources. According to the method, terrain detection signal data of a target water area and fish resource detection signal data of a target water layer are obtained through multi-beam sonar equipment, and the fish school distribution condition of the target water layer is determined accordingly. A target water area three-dimensional terrain model is constructed by using terrain detection signal data, and an underwater robot cruising strategy is determined by combining fish school distribution. And the underwater robot obtains fish school image data according to the strategy, identifies fish types and numbers to obtain fish resource data, and finally transmits the data to a water surface control center through an underwater sound wave communication technology. Intelligent and efficient investigation of deep-sea middle-layer fish resources is achieved, powerful support is provided for deep-sea fishery resource research and development, and wide application prospects and important practical significance are achieved.

The invention discloses a while-drilling electromagnetic wave advanced detection sensitivity analysis method, and belongs to the field of oil-gas exploration and development. The method comprises the following steps: constructing a while-drilling electromagnetic wave advanced detection model, quantifying the influence of different measurement parameters on advanced detection signals, then analyzing the response characteristics of the advanced detection signals, extracting key sensitivity factors, and defining a single-parameter sensitivity function and a multi-parameter coupling sensitivity function; the sensitivity of advanced detection signals is qualitatively and quantitatively analyzed from the four angles of the distance to the interface, the formation resistivity, the interlayer and the stratigraphic dip angle, so that the while-drilling electromagnetic wave advanced detection range is optimized, and the adaptability in the well logging process is enhanced. And meanwhile, the advanced detection second-order sensitivity is approximately solved by adopting a central difference formula, influence factors suffered by advanced detection signals are analyzed from a numerical angle, the interaction of multi-parameter coupling is analyzed, and a scientific basis is provided for electromagnetic wave logging while drilling accurate inversion and instrument design.

A communication device outputs a probe signal from a power amplifier to the antenna and measures reflected impedance from the antenna resulting from the probe signal. The communication device classifies the reflected impedance measured from the antenna resulting from the probe signal as a select classification of multiple calibrated reflection classifications, wherein the multiple calibrated reflection classifications include variations in reflected impedance. The communication device adjusts the transmission signal in accordance with the select classification.

The invention provides a laser gas telemetering system capable of eliminating the influence of distance change, and aims to solve the problem of inaccurate concentration detection caused by different intensity and receiving quantity of optical signals received by a detector when the telemetering system is in different telemetering distances. Optical signals of different telemetering distances are converted into electric signals meeting detection requirements by automatically regulating and controlling the photoelectric conversion gain multiple, and the core is a pre-amplification circuit capable of regulating and controlling the gain multiple and an automatic gain control algorithm. A photoelectric conversion chip OPA380 and a multiplexer MAX4638 are selected to form the pre-amplification circuit capable of regulating and controlling the gain multiple, and the pre-amplification circuit is provided with eight different gain regulation and control gears. According to the automatic gain control algorithm, detection signals are identified and judged according to the voltage amplitude after photoelectric conversion, and the gain multiple of the pre-amplification circuit is regulated and controlled in real time. According to the invention, the detection accuracy can be improved, and guidance is provided for field application of the mobile telemetering system.

The invention relates to an optical time domain reflectometer and a control method of the optical time domain reflectometer, and relates to the technical field of photoelectricity. The optical time domain reflectometer OTDR comprises a single photon detector, and the OTDR is used for being connected with an optical fiber to be measured; the OTDR is further used for sending a plurality of detection signals to the optical fiber to be detected in sequence and receiving a plurality of detection echo signals from the optical fiber to be detected in sequence, and the detection echo signals are used for indicating the transmission state of the same section of transmission area in the optical fiber to be detected; performing amplitude reduction processing on each detection echo signal at a certain time interval to obtain a processed detection echo signal; the positions, corresponding to the same section of transmission area, of the signal sections subjected to amplitude reduction processing in the different processed detection echo signals are not completely the same; each processed detection echo signal is subjected to photoelectric conversion based on the single-photon detector to obtain a first electric signal, a first OTDR oscillogram is output based on the multiple first electric signals, and the first OTDR oscillogram is used for indicating the transmission state of the same section of transmission area. Therefore, the problem of OTDR curve distortion can be solved.

The invention relates to the field of radar detection methods, and discloses a microwave photon multiband radar detection method, which comprises the following steps: generating detection signals of multiple bands based on a microwave photon method, transmitting the detection signals to a target, and then carrying out dechirp processing and digital signal processing on target reflection signals to obtain a target detection result. The method specifically comprises the following steps: generating a fundamental frequency signal through a user-defined bit sequence generator, a pulse generator and an electric frequency modulator, adjusting the central wavelength and bandwidth of a signal waveform by the electric frequency modulator, amplifying the power of the fundamental frequency signal by a certain multiple through an electric power amplifier, and modulating by a distributed feedback semiconductor laser, a plurality of sidebands with equivalent power are generated by the spectrum of the optical fiber, a modulated fundamental frequency signal is input into the photoelectric detector through the optical fiber, and then the modulated fundamental frequency signal is amplified by the electric low noise amplifier to generate a multi-band frequency modulation signal. And the multifunctional detection capability of the radar system can be realized.

The invention relates to the field of building energy automation control, and discloses a building energy consumption optimization method based on artificial intelligence, which comprises the following steps: acquiring an energy loop state, generating a reference control instruction, superposing a detection signal of which the amplitude is lower than the upper limit of a mechanical dead zone, and sending the superposed detection signal to an execution mechanism; extracting a phase difference of the feedback response relative to the detection signal by using orthogonal correlation logic; according to the matching relation between the instruction gradient direction and the phase difference curvature evolution trend, an asymmetric damping rule is configured for a loop, and control parameters are corrected, the asymmetric physical characteristics of building thermal inertia are matched, phase mismatch between the instruction and physical response is eliminated, energy backflow and overshoot oscillation generated in the adjusting process are restrained, and the stability of the building thermal inertia is improved. Therefore, energy consumption adjustment is converted from oscillation approximation to smooth cut-in, and on-line identification of the deterioration state of the actuating mechanism is realized on the premise that hardware cost is not increased.

The invention relates to an anti-loose monitoring method for electric power fitting wire clamps, which comprises the following steps of: injecting a high-frequency probe signal into a preset conductor of a power transmission line serving as a sensing medium from a detection end, and receiving a reflected signal sequence generated by a plurality of electric power fitting wire clamps along the line due to discontinuous impedance; the round-trip time of each reflected signal in the sequence is analyzed to accurately position each wire clamp, and the reflection characteristics of the wire clamps are extracted to represent the real-time connection state. And comparing the real-time reflection characteristic with a pre-stored baseline reflection characteristic of the wire clamp in a fastening state, and determining that the wire clamp at the corresponding position is loosened when the difference between the real-time reflection characteristic and the pre-stored baseline reflection characteristic exceeds a preset threshold value. According to the invention, remote, passive and full-coverage monitoring of the fastening state of a plurality of electric power fitting wire clamps on a power transmission line can be realized, and the technical problems of low manual inspection efficiency and strong subjectivity, and high cost, difficult power supply, complex maintenance and the like of an online monitoring device in the prior art are solved.

The invention relates to the technical field of radiator monitoring, and particularly discloses a radiator heat dissipation performance dynamic test system, which is characterized in that a heat source simulation body is arranged on a heat transfer interface of a radiator, and a high-fidelity dynamic electric power load is applied to the heat source simulation body to simulate an actual working condition; radiating a microwave detection signal to a space where the heat source simulator is located and receiving a multi-path scattering response signal; the three-dimensional dielectric constant dynamic distribution of the heat source simulation body is reconstructed by solving the inverse scattering problem fused with the space-time constraint; according to the material dielectric constant-temperature relation mapping, three-dimensional temperature field dynamic distribution is generated; and finally, intelligently identifying and extracting a migration track and a temperature change curve of the highest temperature point in the space from the continuous time sequence temperature field data, and taking the migration track and the temperature change curve as a direct evaluation basis for the dynamic heat dissipation performance of the radiator. According to the method, lossless, full-field, real-time visualization and quantitative analysis of the migration process of the dynamic hot spots in the hidden heat source are realized, and the authenticity of the dynamic heat test is improved.

Embodiments of the present application relate to the technical field of radars, and disclose a signal processing method, a storage medium, a radar chip, and an integrated circuit. The signal processing method comprises: transmitting detection signals in a Doppler-division multiplexing (DDM) mode by means of a plurality of transmission channels; processing echo signals to obtain distance-Doppler two-dimensional data; on the basis of the distance-Doppler two-dimensional data, calculating the likelihood probability of Doppler spectra under different aliasing combinations of transmission channel orders of at least two targets; and determining the Doppler spectrum of each target on the basis of the aliasing combination corresponding to the maximum value of the likelihood probability. The present application is at least beneficial to correctly recovering signals before Doppler spectrum aliasing in the presence of at least two targets.

The invention relates to the technical field of optical detection, in particular to a film layer measuring method and device.The film layer measuring method comprises the steps that a to-be-measured sample is irradiated with pump light and probe light, the probe light is reflected by the to-be-measured sample to form probe signal light, the probe light or the pump light is guided by a retroreflector to irradiate the to-be-measured sample, and the probe signal light forms probe signal light; the retroreflector moves back and forth in the first direction so as to carry out time delay on the probe light or the pump light. Receiving the detection signal light when the retroreflector moves forward along the first direction to generate a forward scanning spectrum, and receiving the detection signal light when the retroreflector moves backward along the first direction to generate a backward scanning spectrum; integrating the forward scanning spectrum and the reverse scanning spectrum to generate a detection spectrum, and obtaining the film property of the to-be-detected sample based on the detection spectrum. The invention is at least beneficial to improving the measurement efficiency of the film property.

The invention provides an unmanned aerial vehicle control instruction trapping method and system based on a pseudo base station technology. According to the method, firstly, signal parameters and environmental electromagnetic noise characteristics of a real base station are collected, and a dynamic base station analog signal is generated and transmitted, so that the unmanned aerial vehicle initiatively initiates a detection signal; analyzing instruction coding characteristics in the detection signal to reconstruct a trapping control signal with protocol deception, and finally enabling the unmanned aerial vehicle to keep communication connection with the pseudo base station device and continuously transmit control instruction data by adaptively adjusting a protocol field parameter and a transmitting power parameter of the trapping control signal; according to the technical scheme provided by the invention, unmanned aerial vehicle counter-reconnaissance alarm caused by abnormal signal characteristics is thoroughly eliminated, and the concealment and reliability of an instruction trapping process are improved.

The invention provides a detector signal processing circuit and a detector signal processing method, which are applied to the field of nuclear technology application, and the detector signal processing circuit comprises a detector used for generating a detection signal; the pulse mode circuit is connected with the detector and is used for performing pulse shaping on the detection signal to obtain a pulse signal; the high-order mode circuit comprises a plurality of Campbell modules connected in parallel, the input ends of the Campbell modules are connected with the detector, and the Campbell modules are used for converting detection signals into first-order signals; the current mode circuit is connected with the detector; the current module is used for converting a detection signal into a current signal; the control module is connected with the pulse mode circuit, the current mode circuit and the output end of each Campbell module. According to the embodiment of the invention, the accuracy of a neutron flux detection result can be improved, and the measurement range of the detector is expanded.

The invention discloses an on-line insulation monitoring system and method for a national railway vehicle, and relates to the technical field of on-line insulation monitoring, and the system comprises a detection signal injection module which is used for injecting a preset broadband active detection signal, and synchronously collecting a response signal set transmitted through a vehicle body grounding network; the fingerprint feature construction module is used for constructing network fingerprint features in a current insulation state; the spatial distribution atlas acquisition module is used for carrying out inversion calculation to obtain an admittance spatial distribution atlas of the whole vehicle; and the insulation abnormal area identification module is used for identifying an insulation abnormal area. According to the invention, the technical problems of long troubleshooting time and poor accuracy caused by incapability of online real-time monitoring of the insulation state of the vehicle body grounding network of the national railway vehicle and low abnormal area positioning precision in the prior art are solved, and online monitoring of the insulation state of the vehicle body grounding network of the national railway vehicle and accurate positioning of the abnormal area are realized. And the efficiency and the accuracy of insulation fault checking are improved.

The invention relates to the technical field of brain imaging, in particular to a frequency-domain near-infrared spectrum measurement module and method and frequency-domain near-infrared spectroscopy equipment, comprising a detection unit and a processing unit, the detection unit is used for directly contacting with the head of a user, emitting detection light to a detected tissue and receiving a detection signal formed by reflection of the detected tissue, and the processing unit is used for processing the detection signal; amplitude data and phase data of the detection signal are extracted, and the amplitude data and the phase data are sent to the processing unit after analog-to-digital conversion; and the processing unit is used for calculating optical parameters of the detected tissue based on the converted amplitude data and phase data, and wirelessly transmitting the optical parameters to the target main control unit. Amplitude and phase detection functions are completed by the front-end measurement module in advance, the use of a high-speed ADC and a mixer is avoided, the system complexity is reduced, signal transmission between the measurement module and the main control unit depends on wireless communication, excessive cable connection is not needed, and the brain activity monitoring system is suitable for brain activity monitoring requirements in a dynamic scene.

The invention belongs to the technical field of nuclear magnetic resonance sounding, and relates to a magnetic resonance random noise intelligent suppression method and system based on dynamic weighting, and the method comprises the steps: employing a forward conversion path to enable a Y-domain noisy signal to generate a pseudo-X-domain pure signal, or enable a pseudo-Y-domain noisy signal to generate a reconstructed X-domain pure signal; generating the pure signal of the pseudo X domain into a reconstructed noisy signal of the Y domain by adopting a reverse conversion path, or generating the pure signal of the X domain into a noisy signal of the pseudo Y domain; performing forward feature authenticity evaluation calculation on the pure signal of the pseudo X domain; performing reverse feature authenticity evaluation calculation on the noisy signal of the pseudo Y domain; alternately optimizing the two conversion paths; and de-noising processing is carried out on the actually measured noisy data by adopting the optimized forward conversion path. The suppression effect on random interference in actual field detection signals with more complex noise conditions and lower signal-to-noise ratios is enhanced.

The invention relates to the technical field of laser radars, and discloses a laser radar system and a working method thereof, and electronic equipment, and the method comprises the steps: transmitting a detection signal to a galvanometer through a transmitting system; the galvanometer reflects a detection signal to the multi-surface rotating mirror to complete one-dimensional scanning in a first direction; the multi-surface rotating mirror reflects the signal reflected by the galvanometer to the target object to complete one-dimensional scanning in a second direction perpendicular to the first direction; the scanning frequency of the multi-surface rotating mirror is smaller than that of the galvanometer; the acquisition system acquires echo signals scattered back by the target object; and the signal processing system receives motion position information fed back by the galvanometer and the multi-surface rotating mirror and generates a point cloud image in combination with the echo signal. Therefore, the high-frequency scanning galvanometer is matched with the multi-surface rotating mirror to perform one-dimensional scanning on the target object in different directions, point cloud data can be acquired, a point cloud image with high resolution can be generated, the rotating speed of the rotating mirror is not too high, the stability is high, the reliability is high, and the overall cost is low.

The invention relates to a spectrum device and a spectrum calibration and detection method. The spectrum device comprises a monochromator module which is used for carrying out light splitting on a broadband optical signal and outputting narrowband monochromatic light; the first detection light path module is used for carrying out light signal detection on the narrowband monochromatic light to obtain a first detection signal; the data acquisition and processing module is used for acquiring photon number information of the first detection signal, acquiring broadband tunable monochromatic light according to the photon number information, and performing spectrum calibration according to the broadband tunable monochromatic light; the monochromator module is also used for splitting the spectral signal of the to-be-measured target and outputting a spectral distribution signal; the second detection light path module is used for carrying out light signal detection on the spectral distribution signal to obtain a second detection signal; and the data acquisition and processing module is also used for acquiring arrival photon information of the spectrum distribution signal and performing spectrum detection on the to-be-detected target according to the arrival photon information. By adopting the device, high-precision broadband tunable monochromatic light output and spectrum detection can be realized.

The invention discloses a lossless detection mold and method for a rammed earth wall, and relates to the technical field of civil engineering and cultural relic protection. In order to solve the problem that in a traditional rammed earth wall nondestructive detection method, it is difficult to establish an effective corresponding relation between signal features and physical and mechanical parameters, the rammed earth wall nondestructive detection mold and method comprise the steps that rammed earth materials are prepared with reference to the soil texture of an ancient wall, and the rammed earth materials are filled into the rammed earth mold in a layered mode to prepare a wall-like test piece; carrying out nondestructive detection on the city-wall-like test piece by adopting a geological radar to obtain an oscillogram and a grey-scale map, and extracting a detection signal; sampling the city-wall-like test piece, carrying out a physical and mechanical test, and establishing a parameter database in which detection signal parameters are associated with physical and mechanical parameters; and finally, carrying out field detection on the ancient city wall, carrying out geological radar detection to obtain an actual detection signal, and matching the actual detection signal with the parameter database to obtain physical and mechanical parameter information of the ancient city wall. The method can effectively improve the accuracy of lossless detection of the rammed earth structure, and provides a scientific basis for ancient city wall protection.