38 results about "Fiber optic sensor" patented technology

The invention relates to the technical field of pipeline safety monitoring, in particular to a long-distance pipeline risk event distinguishing monitoring system and method based on artificial intelligence. The artificial intelligence-based long-distance pipeline risk event distinguishing monitoring method comprises the following steps of S10, acquiring humidity time sequence data and anode output current time sequence data of soil in an area where a target pipe section is located, and respectively drawing a humidity time curve and a current time curve; acquiring a vibration signal acquired by the optical fiber sensing network; and S20, periodically fluctuating according to the current-time curve. According to the method, the relation between the regional self-adaptive humidity saturation interval and the corrosion rate is established, the huge cost for customizing a vibration analysis model for each region is avoided, the event recognition accuracy is improved under high-risk scenes such as coating damage by utilizing deep coupling of the corrosion state and vibration, and the event recognition efficiency is improved. And passive alarm is converted into active and accurate early warning based on humidity prediction.

The utility model relates to the technical field of wind power blade monitoring, and discloses a wind power blade vibration monitoring device, which comprises a touch mechanism, the touch mechanism comprises a mounting seat, the right side of the mounting seat is in threaded connection with a connecting seat, the interior of the connecting seat is fixedly connected with a first spring, one end of the first spring is fixedly connected with a button, and the button is fixedly connected with the right side of the mounting seat. And the surface of the button is fixedly connected with a limiting plate. When vibration acting force is applied, the button can compress the first spring, so that the button slides in the connecting base, the limiting plate slides in the limiting groove to play a limiting role, and then the touch rod is driven to penetrate through the middle of the fiber grating type sensor to touch the fiber grating type sensor so as to capture sensed vibration information. And after the rebound effect of the first spring fails, the connecting seat is rotated to be separated from the mounting seat, and then the first spring is replaced, so that the shutdown maintenance time of equipment due to spring faults is shortened, and the operation efficiency of the wind power equipment is improved.

Aspects of this disclosure configure a processor for detecting defects in the solder mask of a printed circuit board (PCB) using an optical waveguide. The processor directs an optical beam toward the input of one or more optical waveguides embedded in a protective coating layer of a PCB, the protective coating layer being adjacent to one or more conductive traces of the PCB. The processor measures a beam property of the optical beam emitted by the one or more optical waveguides. The processor detects a break in the optical beam emitted by the one or more optical waveguides based on this beam property.The processor detects a fault in the protective coating layer of the PCB based on detecting the interruption of the optical beam emitted by the one or more optical waveguides.

The invention discloses a PC structure joint node jointing method, which belongs to the technical field of joint construction, and sequentially comprises the steps of base layer treatment and intelligent paying-off, functional prime coat brushing, joint filling and sensor pre-burying, composite isolation belt pasting, self-repairing coating application and system ending and activation. A three-dimensional point cloud model is generated through a laser scanner, the material consumption is accurately calculated, joints are filled with high-elasticity polyurethane sealant, an OFDR technology optical fiber sensor is pre-buried, waterproof performance is enhanced through a prefabricated composite coiled material with a water guide microgroove, a PMMA coating doped with a microcapsule repairing agent is applied to form a self-repairing system, and the self-repairing system is used for repairing the joint. And finally, a remote monitoring platform is bound to realize abnormity early warning. According to the method, intelligent monitoring and material self-repairing functions are integrated, the construction standardization degree and the joint durability are improved, conversion from passive leaking stoppage to active maintenance is achieved, and the method is suitable for high-quality treatment of joints of various PC components.

This invention discloses an anti-impact self-breaking laser cutting head device, comprising a cutting head, a vibration damper, and a mounting sleeve. A steel ring is installed inside the vibration damper, and fiber optic sensing lines are installed on the opposite outer walls of the steel ring. A vibration spring is installed between the bottom of the steel ring and the bottom of the vibration damper. An access hole is provided on the outer wall of the vibration damper corresponding to the position of the fiber optic sensing line. The access hole is connected to a fiber optic sensor via a sensing cable. A first laser beam passes through the sensing cable and the access hole to enter one of the fiber optic sensing lines. The measured fiber optic data is transmitted to the fiber optic sensor via another fiber optic sensing line and another sensing cable. In this invention, when the cutting head end is impacted, the vibration spring is compressed and vibrates, causing the fiber optic lines between the sensing lines to deviate from their original transport path. The fiber optic sensor detects the abnormal data and controls the laser cutting machine to stop based on the abnormal fiber optic signal. The laser cutting machine is stopped when subjected to vibration and impact, preventing damage to the product caused by the dispersion of the first laser beam.

The utility model discloses a kind of optical fiber sensing formula light-curing lamp of deformability, it is related to medical instrument technical field, including handle, the outer surface of handle is fixedly installed with lamp pole, the outer surface of handle is fixedly installed with display screen, the side of handle away from lamp pole is fixedly installed with charging end;The inside of lamp pole is provided with the adjusting mechanism of angle convenient to adjust, the adjusting mechanism includes the optical fiber light guide stick of deformability, the optical fiber light guide stick is movably installed in the outer surface of lamp pole.The optical fiber sensing formula light-curing lamp of deformability, angle adjustment is carried out by control switch groove silk drive optical fiber light guide stick, and optical fiber light guide stick is installed with sensor, the distance between real-time sensing and oral cavity interior photosensitive resin is facilitated, to provide position reference for medical staff, and angle adjustment is carried out by the optical fiber light guide stick of deformability, more accurate irradiation to oral cavity interior is realized, reduce the operation time of doctor, guarantee the solidification effect to photosensitive resin.

1. Name of the product in this design: Distributed Fiber Optic Sensing Demodulator. 2. Purpose of this design: To integrate distributed optical fiber acoustic vibration sensing (DAS) and distributed optical fiber temperature sensing (DTS) technologies into one unit for simultaneous monitoring of vibration events and temperature changes along the optical fiber. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention discloses a method for deploying temperature-strain fiber optic sensors and a distributed sensing structure for air-film cooled walls, belonging to the field of fiber optic sensing and testing technology. The method provides a sensing fiber with dual-grating sensitive units, each unit containing a temperature grating and a strain grating with different wavelengths. The fiber routing path is planned according to the wall geometry and the distribution of air-film pores. An installation channel is formed near the wall surface. The fiber is embedded in the channel and fixed by an encapsulation layer. The strain grating conforms to the sidewall to obtain strain, and the temperature and strain gratings are arranged differently to achieve decoupling. The fiber ends are led out to connect to a demodulator. This invention, through the differentiated arrangement of the dual gratings, synchronously and independently acquires temperature and strain data at the same measurement point, effectively eliminating cross-sensitivity. Multiple measurement points distributed along the fiber achieve high spatial resolution distributed measurement. The near-surface embedding of the installation channel ensures response accuracy and sensor survival rate, making it suitable for multi-parameter condition monitoring of hot-end walls in air-film cooled surfaces.

This application provides a photonic crystal fiber cancer cell detection sensor based on surface plasmon resonance, relating to the field of fiber optic sensor technology. The sensor includes a photonic crystal fiber body comprising a drum-shaped substrate material with parallel upper and lower cut surfaces. The substrate contains a first layer of air holes, a second layer of air holes, a third layer of air holes, and a bottom layer of air holes. The first layer of air holes includes a first group of air holes, a second group of air holes, and a third group of air holes arranged in a regular hexagonal pattern, with their center of symmetry coinciding with the center of a circle. The second layer of air holes includes a fourth group of air holes and a fifth group of air holes, arranged in a less-than and greater-than sign pattern, respectively. The third layer of air holes includes a sixth group of air holes and a seventh group of air holes, arranged in a less-than and greater-than sign pattern, respectively. The bottom layer of air holes is parallel to the central row of air holes. This application enables the detection of multiple diseases, improves detection sensitivity, and expands the detection coverage.

This utility model relates to the field of fiber optic sensor head technology and provides a plug-in connection mechanism for a modular fiber optic sensor head, including a housing and a locking mechanism. The locking mechanism is located on one side of the housing surface, and a protective mechanism is located at one end of the housing. In this modular fiber optic sensor head plug-in connection mechanism, the plug's connecting end is inserted into a sliding groove via the locking mechanism. The connecting end corresponds to an integrated groove on the inner wall of the sliding groove. Simultaneously, a limiting groove on the plug aligns with a limiting block inside the integrated groove. Under the elastic force of a spring, the limiting block automatically engages in the limiting groove, completing the initial positioning and fixing of the plug. At this time, the plug is further supported by a support extension frame, ensuring stability and preventing displacement. During installation or disassembly, the user pulls the handle inside the operating groove. The handle causes the connecting limiting block to disengage from the limiting groove, compressing the spring and releasing the limiting block, allowing the plug to be pulled out or moved.

A Fabry-Perot sensor cavity length demodulation system and a Fabry-Perot sensor cavity length demodulation method. The demodulation system comprises: a first light source (1) emitting light of a first wavelength; a second light source (2) emitting light of a second wavelength; a wavelength division multiplexer (3) receiving light from the first light source (1) and light from the second light source (2); a fiber coupler (4) receiving and coupling light of the first light source (1) and light of the second light source (2); a Fabry-Perot sensor (5) receiving coupled light from the fiber coupler (4) such that the coupled light is reflected at a first plane and a second plane of the Fabry-Perot sensor (5) to interfere and return the interference light to the fiber coupler (4); a demultiplexer (6) receiving the interference light and separating the interference light into a first light beam (L1) and a second light beam (L2); a first detector (7) and a second detector (8) respectively receiving the first light beam (L1) and the second light beam (L2) and transmitting a first interference signal of the first light beam (L1) and a second interference signal of the second light beam (L2) to a processor (9), the processor (9) being configured to obtain and analyze a first curve (S1) of the first interference signal and a second curve (S2) of the second interference signal to determine an inflection point of a physical quantity to be measured causing a cavity length change in the first curve (S1) and / or the second curve (S2), the first curve (S1) being a curve of light intensity of the first interference signal with respect to the cavity length, and the second curve (S2) being a curve of light intensity of the second interference signal with respect to the cavity length.

This application provides a method and system for comprehensive planning of distribution networks in power engineering design. First, it acquires geospatial data, historical operational data, and cable vibration spectrum data monitored by a fiber optic sensor network within the planning area. Then, it uses a mixed-integer programming parallel acceleration algorithm to perform distributed storage and correlation analysis on the geospatial data and cable vibration spectrum data, generating a cable aging risk distribution map based on spatial topology constraints. Next, it uses a second-order cone programming model for multi-objective collaborative optimization, generating high-voltage distribution network line capacity expansion schemes and cable replacement priority sequences. Finally, it combines the partial discharge frequency domain characteristic variation trend in the cable vibration spectrum data to correct the line corridor expansion parameters, outputting a dynamic planning graph including cable life prediction nodes and capacity expansion paths. The technical solution provided in this application achieves accurate planning and optimization of high-voltage distribution networks, improving the accuracy and efficiency of cable life prediction and capacity expansion path planning.

An embodiment of a system includes a canister that defines a chamber and that is configured to maintain the chamber at a controlled pressure in a subsea environment. In addition, the system includes an electrical connector defined on the canister that is configured to be electrically coupled to a subsea device. Further, the system includes a fiber optic sensing element positioned in the chamber and coupled to the electrical connector such that the fiber optic sensing element is configured to detect a voltage or a current of the subsea device via the electrical connector.

The invention relates to the technical field of new energy storage and terrestrial heat development engineering, and discloses a multi-field coupling dynamic monitoring method for a hot dry rock energy storage system in a high-altitude area, and the method comprises the steps: constructing a multi-field coupling numerical model of a hot dry rock reservoir; wherein the multi-field coupling numerical model comprises simultaneous solution of a two-dimensional energy conservation equation, a two-dimensional seepage control equation and an elastic mechanics control equation; collecting monitoring data of the hot dry rock reservoir through a distributed optical fiber sensor; performing multi-field coupling analysis on the monitoring data according to the multi-field coupling numerical model to obtain an analysis result; and dynamically adjusting the hot dry rock energy storage system according to an analysis result. According to the method, the limitation of traditional single physical field monitoring is solved, so that the performance evaluation precision of the hot dry rock reservoir is improved, and the energy storage efficiency of the high-altitude hot dry rock reservoir is improved. The invention further discloses a multi-field coupling dynamic monitoring device and electronic equipment for the hot dry rock energy storage system in the high-altitude area.

This utility model discloses a laser-sensor-based concrete self-shrinkage deformation detection device, belonging to the field of building material performance testing technology. The device includes a base plate. Through the arrangement of the detection components and corrugated pipe, the corrugated pipe linearly converts the concrete shrinkage strain into axial displacement during use, while guide rollers constrain radial displacement. The laser optical path and the fiber optic sensor sensing path are physically isolated, allowing the two systems to operate independently. Furthermore, a laser displacement sensor replaces the infrared sensor, utilizing the strong monochromaticity and good directionality of laser light, along with a laser reflector, to eliminate the influence of environmental temperature and humidity changes on the optical path and improve resolution. Distributed fiber optic sensors are pre-embedded within the corrugated pipe wall, fusing with laser displacement data to construct a "global displacement-local strain" dual feedback mechanism. This multi-sensor collaborative design significantly improves system reliability.

The invention discloses an island power grid digital twin hidden engineering visualization system based on multi-modal data fusion. The system comprises a perception layer, an edge calculation layer, a fusion modeling layer and a visualization interaction layer. The fusion modeling layer comprises a multi-modal data fusion module and a digital twin modeling layer; the sensing layer comprises an optical fiber sensing network, an environment sensor array, a multispectral camera and a ground penetrating radar; the edge calculation layer adopts NVIDIA Jetson AGX Xavier edge nodes to carry out bilateral filtering noise reduction on the point cloud data, and edge calculation is carried out; the multi-modal data fusion module adopts an ICP algorithm to align radar point cloud and a BIM model, and the digital twin modeling layer constructs a three-dimensional structure model of a cable conductor, an insulating layer and an armor layer based on BIM and combines a GIS soil resistivity distribution diagram; and the dynamic simulation module adopts an LSTM model to predict the residual life of the cable. According to the method, unified fusion and space-time alignment of heterogeneous sensing data are realized, the dynamic risk prediction capability is enhanced, and the visualization and interaction experience is improved.

The invention relates to the field of optical fiber sensing, and discloses an optical fiber sensing signal diagnosis method based on TimesNet two-dimensional time-frequency transformation, which comprises the following steps: S1, inputting an original signal, and carrying out adaptive time-frequency denoising through learnable wavelet packet transformation; s2, extracting a dominant frequency component based on the enhanced signal, and constructing a two-dimensional time-frequency tensor through zero padding and remodeling; s3, using depth separable convolution to extract features, using grouping convolution to capture local space-time coupling, using point-by-point convolution to fuse abnormal features, and combining a SimAM attention mechanism to enhance the weight of a key area; s4, modeling time sequence evolution through minLSTM, and realizing parallel long-range dependence modeling by adopting a logarithm domain correlation scanning algorithm; and S5, performing joint training through a gradient conflict coordination mechanism based on the shared features by using a multi-task output head, and outputting fault detection, type classification and positioning results at the same time. According to the method, two-dimensional orthogonal expression is constructed through physical prior dimension raising and noise reduction, and the signal-to-noise ratio, the feature interpretability and the diagnosis precision are remarkably improved.

This utility model relates to the field of inner culture bag opening technology, and more particularly to an inner culture bag opening device, comprising a guiding component for guiding the inner culture bag, which includes a diffuse reflection fiber optic sensor; a braking component including a braking mechanism and a tensioning roller, wherein the inner culture bag is rolled up and tightened and fixed on the tensioning roller; a negative pressure generating component for generating negative pressure; a bag cutting component including a traction mechanism, a sixth mounting plate, a bag cutting cylinder and a bag cutting knife; a bag opening component including a first suction cup component and a second suction cup component arranged opposite to each other, and a driving mechanism for driving the first suction cup component and the second suction cup component to move closer or further away simultaneously; and a bag conveying component for conveying the inner culture bag. This utility model, through the cooperation of the guiding component, braking component, negative pressure generating component, bag cutting component, bag opening component and bag conveying component, can realize the mechanized opening operation of inner culture bags, reduce the waste of human resources, and significantly improve the opening efficiency.

The invention belongs to the technical field of ultralow-temperature cooling machine tool accessory design, and discloses a shape-adjustable surface anti-icing nozzle capable of monitoring the ultralow-temperature cooling medium jet flow state, which comprises a nozzle main body and a cooling medium and gas composite runner. A main jet flow channel and an auxiliary gas adjusting channel are arranged in the nozzle body, and dynamic adjustment of the jet flow angle of the ultralow-temperature cooling medium is achieved by adjusting the pressure and flow of gas flow. The phase optical fiber sensor integrated at the tail end of the nozzle monitors the gas-liquid phase change of the ultralow-temperature medium in real time, and the cooling effect and the sensing capacity of the medium state are improved. The surface of the nozzle is covered with an aerogel heat insulation layer, the icing problem caused by environment heat exchange is remarkably restrained, and spray holes are effectively prevented from being blocked. The nozzle is compact in structure and high in sealing performance, and has good freezing resistance, blocking resistance and jet flow controllable capacity.

The utility model discloses a kind of optical fiber sensor air pressure equalization device, including detection module and pressure regulating module;Detection module includes protective shell, detection optical fiber and protective gas;Detection optical fiber and protective gas are all arranged in protective shell;Pressure regulating module includes gas transmission channel, automatic regulating switch and gas storage structure;One end of gas transmission channel is communicated with protective shell, and other end is communicated with gas storage structure;Automatic regulating switch is set in gas transmission channel, for adjusting the on-off of gas path between protective shell and gas storage structure.The device is by increasing pressure regulating module, realize the gas circulation between protective shell and gas storage structure, and can be through automatic regulating switch control gas circulation direction, so that the gas pressure in protective shell keeps stable, solve the problem that the gas pressure in protective shell is changed due to temperature or pressure variation and affect detection optical fiber measurement result, reduce measurement error, improve measurement accuracy.

This invention provides a signal processing host for a fiber optic acoustic wave sensor, relating to the field of fiber optic sensor technology. The host includes: a polarization processing device for decomposing received backscattered Rayleigh light into two linearly polarized beams with perpendicular polarization directions; a 3×3 coupler for receiving two mutually perpendicular linearly polarized beams and a reference beam, and performing coherent mixing of the linearly polarized beams and the reference beam to obtain an interference light signal; a photodetector for receiving the interference light signal and converting it into an electrical signal; a digital signal processor for converting the electrical signal into a digital signal; and a three-dimensional filter for performing time-dimensional filtering, spatial-dimensional filtering, and frequency-space joint-dimensional filtering on the digital signal. This invention provides a signal processing host for a fiber optic acoustic wave sensor, which can increase the signal-to-noise ratio of the fiber optic acoustic wave sensor.

The utility model discloses an underground coal gangue conveying belt anti-tearing protection device relates to anti-tearing protection device technical field, this underground coal gangue conveying belt anti-tearing protection device includes coal gangue conveying mechanism, and is fixedly installed with anti-tearing protection mechanism on this coal gangue conveying mechanism, the utility model discloses, through the axle tension sensor monitoring conveying belt mechanism tension change, can capture the tension mutation caused by tearing, the fibre sensor senses the temperature of the surface of the belt body, the deformation anomaly, realizes the early identification of the slight injury, the high definition camera direct view monitors the material and the belt body condition, the three cooperation constructs multidimensional monitoring system from mechanics, physical characteristic, visual level, improves the identification precision and timeliness of tearing hidden danger greatly, avoids the problem of the missed inspection, the false detection of single monitoring mode.

A magnetic field sensor in the form of a multi-material optical fiber is described. The magnetic sensing optical fiber of the present disclosure can leverage optics and magnetostriction to sense an external magnetic field adjacent to the fiber. The magnetic sensing optical fiber can be customized to achieve various desired sensing sensitivities for various applications, including measuring while drilling and unconventional oil and gas applications. In one example, an optical fiber can include a cladding that can extend from a first end to a second end of the optical fiber. The optical fiber can further include an optical core within the cladding. The optical core can extend along the optical fiber between the first end and the second end. The optical fiber can also include a magnetostrictive element within the cladding. The magnetostrictive element can extend along the optical fiber between the first end and the second end.

This invention relates to the field of building construction technology, specifically to an intelligent temperature control system and method for large-volume concrete. The system includes a fiber optic temperature sensing network, a data acquisition and processing unit, a cooling water pipe system, an intelligent water supply control unit, and a central control decision platform. The sensing network includes a pre-embedded string of fiber optic sensors for sensing temperature changes and generating wavelength signals. The data acquisition and processing unit converts the wavelength signals into temperature data and reconstructs the real-time temperature field. The cooling water pipe system includes cooling water pipes, a circulating water pump, and a cooling tower. The outlet of the circulating water pump is connected to the inlet of the cooling water pipes via the intelligent water supply control unit, forming a closed-loop circulation. The intelligent water supply control unit regulates the flow rate and provides feedback. The central control decision platform incorporates a dynamic temperature control model, using the temperature difference between the inside and outside of the concrete, the cooling rate, and the maximum temperature as constraints. It employs a fuzzy adaptive PID algorithm to calculate the optimal water flow rate and send commands.

The invention relates to a fiber bragg grating perimeter intrusion signal processing method based on self-adaptive time-frequency optimization, and belongs to the technical field of sensing application of optical fiber sensors. In the process of the method, firstly, vibration signals caused by multiple types of intrusion events are obtained through a distributed fiber bragg grating sensor array arranged along the perimeter; and signal acquisition is realized through a wavelength demodulator and a computer. In a signal processing flow, firstly, multi-scale decomposition of an intrusion signal is realized by using steady-state wavelet transform, and main vibration characteristics are reserved; then, in a time-frequency analysis stage, frequency band energy of sub-signals subjected to steady-state wavelet transformation is calculated, a mapping relation with a frequency band is established, and a scale energy matrix is solved; and calculating a logarithmic power spectrum matrix of the signal through fast Fourier transform. And establishing a mapping relation between the power spectrum matrix and the scale energy matrix based on taking the scale energy as a prior constraint, and correcting the power spectrum to obtain a self-adaptively optimized time-frequency energy diagram. The purpose of fiber bragg grating perimeter intrusion signal processing is achieved through the fiber bragg grating sensing network.

This utility model discloses a fiber optic sensor housing, including a housing body, a fiber optic assembly disposed within the housing body, and a fiber optic circuit board mounted within the housing body via the fiber optic assembly. The fiber optic assembly includes a fiber optic bracket and at least two fixing members. A first fixing member is disposed at one end of the fiber optic bracket, and a second fixing member is disposed on the housing body. Both fixing members have positioning structures for fixing the fiber optic circuit board, jointly securing the fiber optic circuit board. This device utilizes the fiber optic bracket and two fixing members to form a multi-point support structure, stably supporting and fixing the fiber optic circuit board, effectively preventing displacement and deformation of the fiber optic circuit board, and improving the accuracy of photoelectric signal conversion.

The invention discloses a boiler heating surface three-dimensional wall temperature monitoring and temperature field reconstruction method, and the method comprises the steps: constructing a full-dimensional wall temperature monitoring network through a fiber grating array sensing technology, and achieving the precise collection of the wall temperature of a boiler heating surface and the dynamic reconstruction of a three-dimensional temperature field in a boiler through the combination of full-size CFD simulation and a real-time monitoring data fusion algorithm. Firstly, a distributed optical fiber sensor is used for carrying out multi-measuring-point synchronous monitoring on key heating surfaces such as a water cooling wall, a high-pressure water cooling surface and a high-pressure water heating surface to obtain real-time wall temperature data; combustion condition parameters are corrected through primary air powder on-line monitoring data, and a full-size CFD simulation model is input; and finally, based on the heat flow distribution model and a big data analysis algorithm, visual reconstruction and safety early warning of the temperature field are completed. According to the invention, the problems of a heating surface temperature monitoring blind area and insufficient temperature field reconstruction precision under a deep peak regulation working condition are solved, accurate temperature monitoring in a full-load interval of 0-1800 DEG C is realized, and a technical support is provided for safe and economical operation of a unit.

This invention discloses a multi-parameter fiber optic sensor network optimization method and system, relating to the field of fiber optic sensor network optimization. The method includes: establishing a three-dimensional finite element model of a wind turbine blade to obtain the blade's dynamic load distribution, mode shapes, and temperature field; identifying key areas of the blade and dividing the blade structure into five functional monitoring zones; deploying a hybrid fiber optic sensor array based on these functional monitoring zones; constructing a layered guiding optical cable network using a dual-channel helical winding structure; dynamically compensating for the original strain-vibration-temperature parameters acquired by the hybrid sensor array; and constructing a physical model-driven long short-term memory lifetime prediction network. The advantages of this invention are: through precise modeling, differentiated sensor deployment, error compensation, and intelligent lifetime prediction, it significantly improves the accuracy, reliability, and operation and maintenance efficiency of wind turbine blade monitoring.

This invention discloses a multi-parameter traffic safety monitoring system for subway tracks based on integrated fiber optic sensing and communication. The system comprises, in sequence, a sensing and communication module, a demodulation module, a signal processing and decision-making module, a control module, and an application module. The sensing and communication module collects temperature, vibration, strain, and humidity information in real time through fiber optic sensor arrays within the track and tunnel, and multiplexes the fiber optic cables to achieve co-transmission of sensor data and communication services. The demodulation module converts optical signals into electrical signals and uses time-division multiplexing technology to demodulate the physical parameters. The signal processing and decision-making module performs noise reduction and feature extraction on the signals and uses a pre-set machine learning model to identify abnormal events. Based on the decision results, the control and application modules perform status monitoring, early warning issuance, emergency control, and operation and maintenance functions. This invention provides a highly reliable multi-parameter traffic safety monitoring system for subway tracks based on integrated fiber optic sensing and communication, characterized by comprehensive perception, multi-parameter fusion, and high reliability.