4537results about "Converting sensor output optically" patented technology

The invention provides a time division multiplexing multi-parameter synchronous sensing method and system based on a multi-core optical fiber. A multi-core optical fiber containing three heterogeneous fiber cores is embedded into a measured object, and a distributed reflection grating array forming an inclined angle with the axial direction is inscribed on the surface of each fiber core; energy exchange data between modes of all fiber cores and reflection grating wavelength shift signals are synchronously collected by adopting a time division multiplexing technology, phase difference signals are extracted through a cross correlation algorithm to serve as curvature reference values, dynamic compensation operation is carried out on the wavelength shift data and the phase signals, and accurate strain distribution is obtained after temperature interference is effectively eliminated; a coordinate transformation model is established by combining the three-dimensional geometric parameters of the spiral optical fiber, vector synthesis is performed on the curvature reference and the strain parameters, and accurate reconstruction of the three-dimensional deformation field of the measured object is realized. According to the technical scheme provided by the invention, through multi-core fiber multi-parameter synchronous sensing and three-dimensional coordinate mapping, temperature self-compensation high-precision three-dimensional deformation field real-time reconstruction is realized.

The invention, which relates to the technical field of structure health monitoring, discloses a sensing data-based on-line intelligent detection system for the whole body and the periphery of a house, comprising: a distributed sensor module, which is composed of a fiber grating sensor array, an MEMS environment sensor and an image acquisition unit, the system is arranged in a house bearing structure, a peripheral foundation, a drainage system and a greening area. The edge computing node module is configured to preprocess sensor data, including noise filtering, temperature compensation and abnormal data marking; the dynamic topology communication network module adopts a LoRaMesh and 5G hybrid networking technology and supports node self-repairing and bandwidth self-adaptive distribution; and the cloud analysis platform module integrates BIM model reconstruction, multi-source data fusion analysis and early warning decision, and outputs structure deformation prediction, an energy consumption anomaly map and a disaster risk assessment report.

In the present invention, a location joint monitoring solution based on the state of a distributed optical fiber and based on an ultra-short baseline is used, and the solution consists of a distributed optical fiber monitoring device, an ultra-short baseline positioning device and a health monitoring host computer. The distributed optical fiber monitoring device consists of a distributed optical fiber cable (300), a distributed optical fiber demodulator (421), etc. The ultra-short baseline positioning device consists of an ultra-short baseline array (200), an underwater beacon (100), a signal processing device (411), etc. The health monitoring host computer (431) can perform signal conditioning, digital signal processing and parameter estimation by means of the signal processing device and the distributed optical fiber demodulator and by using acquired data such as key point locations, deformation and postures, and complete space curve reconstruction of an underwater riser by means of a space curve reconstruction algorithm and an existing finite element analysis software platform, thereby realizing visual outputs of an underwater state of a marine riser.

The invention relates to the technical field of laser control, and provides a high-dynamic-range multi-channel laser interference control method and related equipment. Channel signals of a plurality of target channels are obtained in real time according to a plurality of preset photoelectric detectors, time domain-frequency domain-space three-dimensional sampling is performed on the channel signals to construct an original tensor, joint optimization processing is performed on the original tensor to obtain a noise reduction tensor, phase unwrapping is performed on the noise reduction tensor to obtain an absolute phase matrix, and the absolute phase matrix is subjected to noise reduction processing to obtain an absolute phase matrix. Performing dynamic range expansion on the absolute phase matrix to obtain an enhanced phase matrix, performing multi-wavelength calculation and environment compensation on the enhanced phase matrix to obtain a distance matrix, and performing vibration compensation on the distance matrix to obtain a piezoelectric driving signal. According to the channel laser interference control method, through a series of advanced algorithms and processing means such as multi-dimensional signal acquisition, combined noise reduction optimization, precise phase unwrapping, dynamic range expansion and vibration compensation, comprehensive improvement of laser interference measurement signals is realized.

The invention provides a wavelength division multiplexing-fused multi-core optical fiber temperature detection method and system. Wherein the broadband light source is divided into multiple wavelength channels through wavelength division multiplexing, and a wavelength-fiber core mapping relation is established, so that each fiber core of the multi-core optical fiber transmits a single-wavelength optical signal. An optical fiber is integrated to the surface of an object according to a three-dimensional path, each fiber core covers a plurality of sensing sub-areas, the wavelength drift amount caused by temperature is extracted by detecting the attenuation characteristic of an optical signal at a bending position, the wavelength drift amount is converted into a temperature value in combination with a calibration curve, and a temperature gradient model bound with the fiber core position is constructed. And further performing spatial solution by using fiber core spacing, wavelength mapping and transmission time delay parameters, establishing a corresponding relationship between the coordinates of the sensing sub-regions and the temperature, and finally reconstructing three-dimensional temperature field distribution. According to the technical scheme provided by the invention, high-resolution dynamic reconstruction and gradient analysis of a three-dimensional temperature field on a complex surface are realized through wavelength-space two-dimensional decoupling.

The invention provides a non-contact optical fiber sensing system and method, the system comprises a passive optical fiber grating sensor and an active demodulation analyzer, the passive optical fiber grating sensor comprises an optical fiber and an optical fiber grating sensor serially connected to the optical fiber, and the active demodulation analyzer comprises a laser light source, an optical circulator and a demodulation analyzer; one end of the passive fiber grating sensor is connected with a first fiber collimator; the active demodulation analyzer further comprises a second optical fiber collimator and an alignment mechanism; the laser light source is connected with the first end of the optical circulator and used for outputting optical signals. An optical fiber is led out from the second end of the optical circulator and is connected with a second optical fiber collimator; the second optical fiber collimator is used for being aligned with the first optical fiber collimator in a non-contact manner under the adjustment of the alignment mechanism so as to transmit optical signals bidirectionally; and the demodulation analyzer is connected with the third end of the optical circulator. The application scene of the optical fiber sensing system can be expanded, and the cost is saved.

The invention discloses an equipment environment detection method and system based on a fiber grating sensor, and relates to the technical field of equipment environment detection methods, and the comprehensive environment of equipment is determined based on the internal production environment of the equipment, the production image of the equipment and the external environment of the equipment. The internal production environment of the equipment, the production image of the equipment and the external environment of the equipment are integrally controlled, accurate detection of the comprehensive environment of the equipment is achieved, and the accuracy of the comprehensive environment of the equipment is improved. Therefore, the production grade of the equipment is determined according to the comprehensive environment of the equipment and the detection of the real-time image of the material produced by the equipment; and if the production grade of the equipment is lower than the preset production grade threshold value, determining the abnormal part in the equipment based on the abnormal detection of the equipment, and triggering the autonomous regulation and control of the abnormal part, thereby realizing the autonomous regulation and control of the abnormal part, and fully considering the production grade of the equipment.

The invention provides a sensing, storage and calculation integrated visual tactile sensor which comprises a contact module, a lighting module and a camera module. Wherein the contact module is used for converting physical contact information generated when the contact module is in contact with an external object into corresponding optical information; the illumination module is used for providing an illumination environment and enabling the optical information to be continuously propagated in the illumination environment; the camera module comprises a lens and a focal plane sensing processor which are sequentially arranged from front to back; wherein the lens is used for capturing optical information, and the focal plane sensing processor is used for carrying out information conversion on the captured optical information to obtain processed tactile information. Meanwhile, the invention provides a corresponding working system and a touch sensing method. According to the invention, the sensing, storing and computing integrated visual chip is utilized, the computing pressure of an upper computer is shared, the bandwidth pressure of a transmission end is relieved, the energy consumption of the whole system is reduced, no extra hardware equipment is introduced, and the complexity and deployment cost of the system are well controlled.

The invention discloses an environmental monitoring system based on an optical sensor, and relates to the technical field of environmental monitoring, and the system comprises the following components: a quantum entanglement module, an optical sensor integration module, a quantum measurement and data processing module, and a data transmission and sharing module. By integrating the quantum entanglement module, the optical sensor integration module and the quantum measurement and data processing module, high-precision and real-time monitoring of environmental parameters is realized, the quantum entanglement technology provides measurement precision and anti-interference capability superior to those of a traditional optical sensor for the system, the accuracy and reliability of data are ensured, and meanwhile, the quantum entanglement technology can be used for monitoring the environmental parameters in real time. Due to the design of high sensitivity and wide dynamic range of the optical sensor, the system can stably work under various complex environment conditions, and the efficiency and accuracy of environment monitoring are effectively improved.

The invention relates to the technical field of sensor noise reduction, and particularly discloses a fiber bragg grating sensing system based on deep learning and a noise reduction method.The method comprises the steps that firstly, original reflection spectrum data of a fiber bragg grating sensor and temperature data of the environment where the fiber bragg grating sensor is located are synchronously collected, and a data processing algorithm based on deep learning is introduced; the method comprises the following steps: performing empirical mode decomposition and waveform feature extraction on original reflectance spectrum data to capture intrinsic intrinsic mode waveform features of the original reflectance spectrum data, then further combining environment temperature data, and performing implicit query interactive response coding on environment temperature features and the intrinsic mode waveform features of the original reflectance spectrum to obtain the intrinsic mode waveform features of the original reflectance spectrum; therefore, the dynamic influence mode of the environment temperature on the reflectance spectrum data can be understood, and the temperature compensation and noise reduction of the reflectance spectrum data can be realized. Through the mode, the influence of temperature fluctuation on the reflection spectrum can be adaptively identified and compensated, the noise caused by environment temperature fluctuation is effectively inhibited, and the measurement precision of the fiber grating sensor is improved.

The invention relates to an optical fiber implantation monitoring method and device for composite material pressure-bearing equipment, and belongs to the technical field of composite material structure monitoring and intelligent sensing. According to the method, a distributed or point type optical fiber sensor and a composite material are synchronously integrated by designing a winding process, so that state parameters such as strain, temperature, pressure and the like of a key area of equipment are monitored in real time. The stability and the precision of the optical fiber in the laying process are ensured by adopting tool structures such as an embedded guide rail and an intelligent pay-off device; the tolerance and the coupling efficiency of the optical fiber are improved by combining the multi-layer structure design of the optical fiber flexible coating glue, the elastic coupling layer and the like; fBG, Brillouin and Raman sensing are fused through a temperature-stress cooperative monitoring system, and high-precision multi-physical field sensing is achieved. The system has the advantages of high integration level, low transformation cost and excellent monitoring performance, and is suitable for on-line health monitoring and intelligent early warning of composite material pressure-bearing equipment such as low-temperature high-pressure hydrogen storage cylinders, carbon fiber V-shaped cylinders and composite material pressure pipelines.

Disclosed herein is autonomous vehicle charging station featuring self-cleaning contact points, power flow safety features, and electrical connection testing (meeting minimum performance thresholds) for safe and efficient power transfer from the charging station to the autonomous vehicle. After docking, power line modem (PLM) communications are established between the autonomous vehicle and the charging station via an electrical power connection resulting from the docking act as an initial test of connectivity, and then the electrical power connection is determined to be safe with non-lethal power flow before charging the autonomous vehicle.

The invention provides a wavelength deviation compensation method and system for rapid wavelength analysis of a far-end fiber bragg grating, and relates to the technical field of fiber bragg grating sensing, and the method comprises the steps: collecting grating reflection spectrum signals of different transmission distances, carrying out frequency domain transformation to separate phase components, and building a mapping relation between the transmission distance and dispersion cumulant; calculating an initial wavelength offset estimation value; identifying a refractive index section, and establishing a segmentation compensation coefficient; constructing a wavelength-strain-temperature three-dimensional space, and optimizing a compensation coefficient according to the trajectory curvature; and updating the compensation coefficient according to the residual gradient. The wavelength analysis precision of the far-end fiber bragg grating can be improved, and the influence of dispersion on measurement is reduced.

The invention discloses an optical frequency domain reflection strain sensing method based on the combination of phase demodulation and cross-correlation, and the method comprises the steps: collecting backward Rayleigh scattering signals before and after the strain of a to-be-measured optical fiber, and extracting the phase information of a reference signal and a measurement signal through Fourier transform; a cross-correlation algorithm is combined to match a reference signal and a measurement signal at the same position of the optical fiber, and a dislocation phenomenon on a distance domain is corrected; calculating the relative phase of the matched reference signal and measurement signal at the same position, and performing phase unwrapping; distinguishing a fiber grating area and a non-grating area, and performing continuous correction on phase data by adopting a linear regression fitting algorithm so as to eliminate jump errors; on the basis of the differential relative phase, a window where the sudden change position is located is determined according to the window width obtained in the cross-correlation algorithm, segmented assignment is conducted on the strain of the window, and finally complete strain field distribution data are output. According to the method, the stability, the anti-interference capability and the measurement reliability of the phase demodulation method are improved.

The invention discloses a range gating anti-disturbance optical frequency domain reflection distributed measurement device and method. The device comprises a sweep frequency laser light source, a first optical coupler, a Mach-Zehnder modulator, a circulator, a detection optical fiber, a polarization controller, a second optical coupler, a balanced photoelectric detector and a data measurement unit. Wherein the Mach-Zehnder modulator is configured to perform BPSK modulation on the input probe light by using a pseudo-random spread spectrum coding technology. By means of the device and the method, the contradiction that long-distance measurement and fast frequency sweeping are difficult to achieve at the same time in a traditional OFDR is successfully solved.

The invention provides a cable channel detection method and system based on a distributed optical fiber sensing technology, and relates to the technical field of cable detection, and the method comprises the steps: configuring a monitoring region and an uncovered region according to distribution coordinates and monitoring precision; a distributed optical fiber sensor is used for cable monitoring to establish a monitoring data set; carrying out collaborative anomaly identification on the monitoring data set, and establishing a first anomaly identification result; inputting the monitoring data set into a distance-temperature interpolation prediction network, executing interpolation prediction of an uncovered area, performing fault risk prediction by using an interpolation prediction result, and establishing a second anomaly identification result; and after carrying out anomaly fusion on the first anomaly identification result and the second anomaly identification result, reporting that the cable is abnormal. According to the invention, the technical problems that a monitoring blind area exists and an uncovered area cannot be effectively detected due to the fact that a traditional detection method cannot comprehensively cover all monitoring areas can be solved, the problem of the monitoring blind area can be effectively eliminated, and all-area and blind-spot-free abnormal monitoring and fault early warning are realized.

The invention relates to the technical field of optical fiber sensing, and discloses an optical fiber sensing signal adaptive demodulation analysis method for inhibiting common-mode interference, which comprises the following steps of: synchronously acquiring an original signal of a main sensing optical fiber channel and a common-mode interference signal of a reference optical fiber channel, and performing time-frequency conjoint analysis on the signal of the reference optical fiber channel to obtain a common-mode interference signal; s2, extracting an interference spectrum component containing temperature drift and light source fluctuation characteristics, constructing a hybrid adaptive filter bank which comprises a recursive least square (RLS) filter and a variable step size least mean square (LMS) filter which are connected in parallel, and dynamically adjusting a forgetting factor of the RLS filter and a step size factor of the LMS filter based on the interference spectrum component extracted in the step S2, according to the optical fiber sensing signal adaptive demodulation analysis method for suppressing common-mode interference, a parameter adjustment strategy is continuously optimized, a pure vibration signal with an output signal-to-noise ratio is improved, and the effect of accurately suppressing common-mode interference in real time is achieved.

An integrated system for detecting dam breaches, as an early warning system and for evacuation assistance, consisting of: A geoinformatics analysis module comprising a modeling processor with a graphics processing unit, configured to: analyze spatial, hydrological, and topographic data of a dam and its downstream area; generate hydrological models using probable maximum rainfall (PMP) data to determine probable maximum flood discharge (PMF); generate hydraulic models to simulate flood propagation and determine flood depth, flood extent, flow velocity, and flood arrival time; create flood vulnerability models, vulnerability models, and flood hotspot models using a multi-criteria decision-making (MCDM) framework; and generate evacuation plans for high-risk zones based on the models. A sensor monitoring subsystem includes: a distributed fiber optic sensor (DFOS) configured to monitor the structural load and deformation of a dam, and a radar level gauge configured to measure the water level in the reservoir; a microcontroller unit configured to receive and process sensor data from the sensor monitoring subsystem, to detect dam breaches based on abnormal structural movements detected by the DFOS or sudden drops in water level below predefined thresholds detected by the radar level gauge; a communication module configured to transmit warning messages when dam breaches are detected; a warning system configured to: send SMS notifications to residents in downstream high-risk zones via a GSM communication module, generate real-time alerts via an IoT platform on user devices, and activate siren systems in villages to issue loud alarms and voice announcements; and an evacuation assistance platform configured to provide real-time evacuation assistance in emergencies due to dam breaks, displaying site maps with nearby emergency shelters, evacuation routes, hospitals, government buildings and aid centers, showing hydrological layers including flood extent, water depth, flow velocity and arrival time of the water, and enabling real-time location tracking in relation to safety zones and flood-prone areas.

The invention relates to the technical field of encoders, in particular to an incremental optical encoder signal error compensation system and method.The incremental optical encoder signal error compensation system comprises a signal acquisition module, a preprocessing module, an error analysis module, a compensation operation module, a data storage module and an output control module; the preprocessing module preprocesses the original signal; the error analysis module analyzes and identifies the error type and characteristics of the processing signal in a multi-dimensional manner, and calculates compensation values of the scribing error, the subdivision error and the eccentric error through the compensation operation module; a compensation value is superposed with an original signal, a compensated high-precision signal is obtained, the output control module outputs the high-precision signal to a subsequent device, meanwhile, system parameters are adjusted according to an external instruction, a high-precision error model is constructed by the system, and the high-precision error model is obtained by combining an advanced digital signal processing technology and an intelligent algorithm. And the scribing error, the subdivision error, the eccentric error and the like of the encoder are effectively compensated.

The invention provides a tunnel deformation monitoring system and method based on a distributed optical fiber sensing technology, and relates to the technical field of tunnel monitoring. A spiral winding type optical fiber is arranged in the longitudinal axis direction of the surface of a tunnel lining, a transverse optical fiber is arranged on a key section, and the data acquisition frequency is set to be 1Hz. Dividing the optical fiber into a plurality of data acquisition points at equal intervals, obtaining the real-time temperature and Brillouin frequency shift change of each point, measuring the temperature and strain sensitivity coefficient, and calculating the total strain; calculating long-term temperature strain compensation based on the long-term temperature component, generating an instantaneous temperature difference through the real-time temperature and the long-term temperature component, further calculating instantaneous temperature strain compensation, subtracting the two kinds of strain compensation from the total strain to obtain stress strain, and evaluating the deformation level of the tunnel based on the stress strain. And the accuracy of evaluation is judged through clustering analysis.

The invention provides an adjustment method of detection equipment, and the detection equipment sequentially comprises an objective lens, a spectroscope, a barrel lens and a detector from an object space to an image space, and also comprises a Kohler illumination module. The illumination light beam is emitted from the Kohler illumination module and is transmitted to the objective lens through the spectroscope, when the object to be detected is arranged on one side, far away from the spectroscope, of the objective lens, the illumination light beam emitted from the objective lens is reflected to obtain a reflected light beam, and the reflected light beam sequentially passes through the objective lens, the spectroscope and the barrel lens to reach the detector. After an aperture diaphragm is inserted into the Kohler illumination module and an auxiliary lens is arranged between the barrel lens and the detector, obtaining a first light spot position of a light spot formed by the aperture diaphragm at an entrance pupil of the objective lens through the detector; and under the condition that the Kohler illumination module does not provide the illumination light beam and the light source is used as an object to be detected, acquiring a second light spot position of the light spot of the entrance pupil of the objective lens through the detector, adjusting the position of the aperture diaphragm according to the first light spot position and the second light spot position, and aligning the illumination optical axis and the imaging optical axis.

The invention provides a high and low temperature alternating environment temperature and pressure mixed signal decoupling method and system based on a multi-core optical fiber. According to the method, temperature and pressure mixed signals are synchronously acquired through phase difference data of a plurality of fiber cores, and multi-channel mixed sensing signals are generated; performing mechanical stress suppression on the multi-core optical fiber by using a thermal expansion adaptive packaging structure to form an anti-deformation optical fiber assembly; carrying out adaptive time slot distribution on the mixed sensing signal based on a time division multiplexing time sequence to generate a synchronous calibration signal; spectral features of the synchronous calibration signals are separated through the spectral analysis technology, scanning parameters are dynamically adjusted in combination with the temperature change rate and the deformation quantity, and temperature and pressure feature data are extracted; and performing decoupling operation on the feature data through the coupling model, and dynamically correcting the model parameter weight based on the deformation quantity feedback data to obtain a temperature parameter and a pressure parameter. According to the invention, the accuracy of synchronous decoupling measurement of temperature and pressure in a high-low temperature alternating environment is realized.

The invention discloses an optical fiber distributed sound wave sensing device based on double chirped pulses, which relates to the technical field of distributed optical fiber sensing and comprises a laser module (1), a chirped pulse modulation module (2), a sensing optical fiber module (3) and a Rayleigh scattering signal separation and receiving module (4), laser generated by the laser module passes through the chirped pulse modulation module to obtain double chirped pulse signals with different frequency bands, excites Rayleigh scattering signals in the sensing optical fiber module and inputs the Rayleigh scattering signals to the Rayleigh scattering signal separation and receiving module for signal separation and demodulation. The sensing optical fiber is inquired through double chirped pulses of different frequency bands, two Rayleigh scattering signals are excited to achieve a wide range and high sensitivity, the advantages of the two signals are combined through an adaptive filtering algorithm, the dynamic range of distributed sound wave detection is improved by one order of magnitude, and the detection accuracy is improved. The acquisition of large chirp bandwidth Rayleigh scattering signals is realized at a low sampling rate, and a distributed sound wave sensing technology with a large dynamic range is realized.

The invention relates to a wide-temperature high-precision optical acceleration sensitive chip and sensor based on a microcavity interferometer principle and a manufacturing method thereof, the wide-temperature high-precision optical acceleration sensitive chip comprises a first substrate, a second substrate and a third substrate, an optical fiber mounting seat and a light through hole are formed on the first substrate, a beam structure and an inertial mass block are processed on the second substrate, and the beam structure is arranged on the third substrate. The first substrate, the second substrate and the third substrate are all made of double-polished super-flat silicon wafers, a single-mode optical fiber assembly is fixed to the optical fiber installation base, the end face of the single-mode optical fiber assembly is subjected to precise grinding and is perpendicular to the axial direction of an optical fiber core, and a first cavity mirror is formed by means of the end face of the side, facing the light through hole, of the inertial mass block. A second cavity mirror is formed on the end face of the single-mode optical fiber assembly, the first cavity mirror and the second cavity mirror form an F-P interference cavity, and the first substrate, the second substrate and the third substrate are connected through the silicon-silicon bonding technology.

A method (100) of monitoring and controlling for hydraulic and gas distribution pipeline networks comprises the steps of: providing a pipe (1) of polymeric material for water or gas installations suitable for connection in series with other pipes; Arranging and fixing on the diametral surface of said pipes (1) at least a fiber optic conductor (12) provided with an optical transmitting core (15) and at least a Fiber Bragg Grating FBG (14) sensor; arranging coating means (30) around said pipe for the protection of said fiber optic conductor (12); configuring said optical fiber conductor (12) to be connected to a control unit (20) capable of sending a light signal; and configuring said fiber optic FBG sensor (14) to send a reflected light signal dependent on the variation in size of said pipe (1). The invention also includes a pipe (1) or conduit for hydraulic or gas distribution pipeline networks comprising at least one fiber optic conductor (12) and a distribution pipeline network (10) comprising at least a pipe (1).

The invention discloses an overhead line system cable state real-time monitoring method and sensing system based on distributed optical fiber sensing. The Mach-Zehnder interference and phi-OTDR fusion type distributed optical fiber sensing system comprises a first light source, a second light source, a Mach-Zehnder interferometer, a phi-OTDR and a data acquisition and processing module. Raman amplifiers are arranged at the two ends of the Mach-Zehnder interferometer, so that the sensing distance is prolonged; the optical fiber sensing system extracts an interference optical signal and a backward Rayleigh scattering optical signal corresponding to a fault event after phase modulation when the fault event occurs; then processing the extracted backward Rayleigh scattering light signal to obtain intensity change information of a fault event, and demodulating the position of the fault event; and sending the two-dimensional optical signal into a pre-trained Swin Transform network model to extract a time domain feature, a frequency domain feature and a spatial domain feature, and identifying the type of a fault event through a classifier.

The photonic integrated device comprises a substrate, a plurality of mechanical resonator structures on a surface of the substrate, exposed to receive sound waves from outside the device; a plurality of sensing optical waveguides, each sensing optical waveguide at least partly mechanically coupled to at least one of the mechanical resonator structures, or a sensing optical waveguide that is at least partly mechanically coupled to all of the mechanical resonator structures; an input optical waveguide on the surface of the substrate, coupled to the plurality of sensing optical waveguides or the single sensing optical waveguide, for supplying light to the plurality of sensing optical waveguides or the single sensing optical waveguide; at least one output optical waveguide on the surface of the substrate, coupled to the plurality of sensing optical waveguides or the single sensing optical waveguide, for collecting light from the plurality of sensing optical waveguides or the single sensing optical waveguide that has been affected by vibration of plurality of mechanical resonator structures.

The invention discloses a signal-to-noise ratio improvement method based on a multi-core optical fiber dual-channel distributed acoustic sensing system, and the method comprises the steps: carrying out the light splitting of light emitted by a narrow linewidth laser through a first coupler C1, enabling one path of light to generate a pulse signal through an acoustic optical modulator (AOM), enabling the other path of light to pass through a second coupler C2, and enabling the other path of light to pass through a second coupler C1; the pulse light is divided into two beams of transmission light, the two beams of transmission light are injected into a connected sensing optical fiber through two groups of erbium-doped optical fiber amplifiers (EDFA), two groups of filters, two groups of circulators and a fan-in coupler Fan-in Coupler, and the pulse light is subjected to backward Rayleigh scattering in the sensing optical fiber; based on a dual-channel DAS system, a multi-core optical fiber is used as a sensing optical fiber, three cores and four cores of the multi-core optical fiber are connected in series to form two sensing channels, seven-core space division signals are multiplexed, the equivalent self-noise pressure suppression effect of the seven-core space division signals is analyzed, after noise correlation is removed through a time domain dislocation-frequency domain phase shift method, the signal-to-noise ratio gain can be increased to 8.65 dB, and the signal-to-noise ratio gain can be increased to 8.65 dB. And the detection capability of the system on low-frequency weak signals can be improved.

The invention provides a highway automatic monitoring system, and relates to the technical field of monitoring systems, and the system comprises an intelligent sensing layer which carries out the data collection and preliminary processing, and outputs structured data and an original video stream to an edge calculation layer. The edge computing layer receives the data of the sensing layer and outputs a local event alarm and prediction result to the central decision-making system, the central decision-making system performs global analysis and strategy generation and issues a grading processing instruction to the collaborative early warning platform, and each terminal performs linkage response through information distribution and execution of the collaborative early warning platform; the highway automatic monitoring system realizes road environment total factor perception through the multi-source sensing array, the video analysis unit and the pavement state monitoring module of the intelligent perception layer, effectively integrates multi-source data through a spatio-temporal data fusion technology, significantly improves the recognition rate of the system to abnormal events, and improves the safety of the system. And the system can respond to various traffic events more accurately.

The invention discloses a multi-sideband chirp modulation DAS system and a working method thereof, and relates to the technical field of distributed sound wave sensing. The DAS system comprises a narrow linewidth laser, an optical fiber coupler, a phase modulator, an electro-optical modulator, an erbium-doped optical fiber amplifier, an optical fiber circulator, a dense wavelength division multiplexer, a photoelectric balance detector, a data acquisition card, an arbitrary waveform generator, a direct current source and the like. The phase modulator is used for modulating constant-amplitude multi-frequency continuous light, the frequency number of light waves is related to the harmonic number of a microwave modulation signal, the frequency interval is determined by the fundamental frequency of the microwave modulation signal, the continuous light frequency can be flexibly modulated by adjusting the microwave modulation signal, and the modulation bandwidth is large; detected beat frequency signals are compressed into single-frequency signals through pulses, phase information of the single-frequency signals is demodulated, vibration signals along the sensing optical fiber can be detected, the spatial resolution of the system depends on the chirp frequency sweeping range, and the spatial resolution is high.