86 results about "Fiber optic sensor" patented technology

The invention relates to the technical field of intelligent buildings and energy management, and particularly discloses an intelligent building heating intelligent optimization operation method and system based on deep learning, and the method comprises the steps: collecting building environment parameters and equipment operation data in real time through a distributed optical fiber sensing network and an infrared thermal imaging system; extracting minute-level fluid transmission and distribution parameters and hour-level building thermal inertia characteristics by adopting wavelet packet transformation and a graph neural network; then, constructing a neural differential equation prediction model fused with physical constraints, and outputting high-precision thermal load demand prediction through a differentiable heat conduction operator coupling multi-time scale feature; then, a mixed integer optimization model considering equipment life loss is established, and boiler start-stop combination and pipe network flow distribution are synchronously optimized by adopting a hierarchical decision-making mechanism; and finally, closed-loop control is realized through a multi-mode actuator network, and model parameters are dynamically adjusted in combination with an online learning mechanism.

The invention relates to the field of disaster monitoring, and provides a slope disaster real-time monitoring and early warning method and system, and the method comprises the steps: laying a distributed optical fiber sensing network, a Beidou GNSS receiver, a miniature pore water pressure gauge and an inclinometer at a target slope earth surface position and a deep position, and obtaining internal and external cooperative monitoring data; extracting and calculating a plurality of branch characterization values in the internal and external cooperative monitoring data; calculating and generating multi-source fusion feature data based on the plurality of branch representation values; establishing a dynamic threshold monitoring model, and calculating and generating a real-time early warning threshold; establishing a multi-level linkage early warning mechanism based on the real-time early warning threshold value; and internal and external cooperative monitoring is realized through a multi-mode sensor network, and slope state information is comprehensively captured. Multi-source data fusion processing improves data quality and reliability, a dynamic threshold model accurately adapts to different working conditions, and a multi-level linkage early warning mechanism ensures timely response. The accuracy and timeliness of slope disaster early warning are greatly improved on the whole, and disaster loss is effectively reduced.

The invention provides an automatic assembling method and system for an inductor magnetic core. Wherein continuous images of the surface of the magnetic core are captured through multi-band rapid scanning, and geometric deformation characteristics are extracted; meanwhile, a distributed optical fiber sensing array is adopted to collect pressure data of the contact surface, and a real-time distribution diagram is generated through a three-dimensional field reconstruction algorithm. And then carrying out space coordinate alignment on the edge contour offset of geometric deformation and the pressure gradient, and constructing a comprehensive quality index. And based on the dynamic deviation of the index, a contact angle compensation value and an assembly speed optimization value are solved in real time, and a parameter adjustment instruction is generated. And finally, through parallel calculation of instruction data, a pressure tolerance threshold value and a deformation compensation parameter are synchronously updated, dynamic balance of deformation correction and pressure control in the assembly process is realized, and a self-adaptive closed-loop precision control system is formed. According to the technical scheme, through multi-dimensional sensing data fusion and real-time parameter adjustment, dynamic matching of deformation and stress states in the magnetic core assembling process is achieved.

Apparatus and methods for monitoring the status of a floating roof. The floating-roof tank assembly has: an impermeable roof section, and a floating-roof seal configured to span between the impermeable roof section and components of a container. One or more deformable floats are attached to the roof section to provide buoyancy so that the roof floats on top of the liquid contained in the container. To monitor the status of the floating roof tank, it is provided with a fiber optic sensor array comprising one or more fiber optic sensors. A light source configured to transmit light to the fiber optic sensors and a receiver configured to detect light from each fiber optic cable after it has interacted with the fiber optic cable. Based on the received light, a controller configured to process the light received by the receiver to determine the status of the floating roof tank.

The invention discloses a bridge monitoring data storage system based on cloud computing, particularly relates to the technical field of bridge monitoring, and comprises an optical fiber sensing network acquisition unit, an edge computing preprocessing unit, a multi-modal data fusion storage module, a dynamic hierarchical compression engine, a fault-data association analysis unit and a distributed cloud storage cluster. According to the invention, a full-link optimization system is constructed, a front end accurately captures key responses, a middle end filters abnormal data to reduce invalid transmission, and a rear end dynamically compresses based on health rating and combines a cloud storage mechanism, so that the storage efficiency is improved by more than 40%, and the storage cost and bandwidth pressure are solved; key data are compared and marked through a knowledge graph, and a triple protection system is constructed in combination with a fault-tolerant strategy; a fusion index is formed by space-time correlation, multi-dimensional analysis is supported, authority control gives consideration to safety and operation and maintenance, storage cost is optimized by cold and hot stratification, and a high-availability and extensible data management platform is provided for bridge monitoring.

The invention discloses a rock-fill dam-level burdening blasting mining method, system and device and a medium. The method comprises the following steps that firstly, blasting parameters are intelligently designed; step 2, dynamically controlling the drilling precision; 3, implementing a coupling charging structure; step 4, accurately detonating the electronic detonator; step 5, grading online detection after explosion; and 6, blasting vibration is monitored and fed back in real time. According to the method, a blasting parameter mathematical model is constructed, multiple parameters and constraint conditions are integrated, accurate parameters are output, and secondary machining of stone is reduced; a distributed optical fiber sensing network is arranged, and fine control over blasting vibration is achieved; an unmanned aerial vehicle is used for scanning a muck pile, a compensation scheme is automatically generated, the loading and transporting efficiency is improved, meanwhile, a multi-parameter coupling model is established, a dynamic adjustment scheme is monitored and fed back in real time, the management fragmentation problem is solved, and multiple measures are adopted to improve the accuracy and safety of blasting mining.

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 invention is suitable for the field of railway foundation management, and provides a railway foundation settlement management early warning method and system, and the method comprises the steps: installing a vehicle-mounted displacement sensor at a target position of a driving vehicle; continuously distributed optical fiber sensing monitor groups and temperature sensors are deployed in the railway line; establishing a space-time synchronous calibration model of the vehicle-mounted displacement sensor and the optical fiber sensing network, performing fusion processing on vehicle body longitudinal displacement data acquired in real time and optical fiber strain data of a corresponding mileage segment, and calculating the longitudinal change degree of a foundation in a monitoring interval; setting a multi-level threshold triggering and rechecking strategy; multi-source data are fused, and a stepped intelligent early warning notification is generated and sent based on a multi-level threshold triggering and rechecking strategy; according to the method, a train-line-foundation three-in-one intelligent monitoring system is constructed, and the temporal-spatial resolution and accuracy of railway foundation settlement monitoring are remarkably improved. A multi-level threshold and recheck mechanism reduces the false alarm and missing alarm rate, and stepped early warning realizes risk hierarchical management and control.

The invention discloses a distributed optical fiber temperature event identification method based on an MFDS-GFNet network, relates to the technical field of distributed optical fiber sensing signal identification, and aims to solve the problems that an existing distributed optical fiber temperature event identification method is insufficient in feature extraction, not flexible enough in model architecture, difficult to distinguish multiple types of temperature events and the like. The method comprises the following steps: acquiring original temperature data of a distributed optical fiber, and preprocessing the original temperature data; extracting multiple features; and constructing an MFDS-GFNet network model to realize distributed optical fiber temperature event identification. According to the method, a gating fusion mechanism is provided, importance weights of different features are automatically adjusted through a learnable neural network, and the recognition accuracy is remarkably improved, especially for event types which are difficult to distinguish. According to the invention, the recognition accuracy of events with similar temperature characteristics, such as water bath and heating tape, is improved to 100%.

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.

A bearing device includes a bearing having an inner ring and an outer ring, at least one of the inner and outer rings being capable of rotating concentrically relative to the other ring. A fiber optic sensor includes an array of optical strain gauges mounted on the inner ring or on the outer ring of the bearing and an optical interrogator is configured to measure the deformations of the inner ring or the outer ring from the optical strain gauges. A command device commands the optical interrogator, a first determining device determines a statistical parameter from random samples of measurements, and a second determining device determines the load acting on the bearing from the statistical parameter and a predetermined relationship between the statistical parameter and the load.

The invention discloses a distributed temperature sensor and a detection system, and relates to the field of sensing monitoring. The distributed temperature sensor comprises a sensing optical cable and a protection tube, the sensing optical cable is spirally arranged in the protection tube; the sensing optical cable is used for obtaining the temperature of the to-be-measured body so as to determine the temperature change condition of the to-be-measured body. By arranging the distributed temperature sensor which is simple in structure and low in cost, the defect, thickness, heat flux or water content of the to-be-measured body can be accurately detected.

The utility model discloses a vehicle lamp ventilation cap neglected installation detection device, which comprises a base (1), a supporting structure (2) is arranged on the base (1), a detection structure (3) for detecting a ventilation cap is arranged on the supporting structure (2), the detection structure (3) comprises an optical fiber sensor (31) and an optical fiber amplifier (32), the sensitivity to chromatic aberration is higher, a vehicle lamp (11) is arranged on the supporting structure (2), and the detection structure (3) is arranged on the supporting structure (2). The optical fiber sensor (31) is located below the automobile lamp (11), the optical fiber amplifier (32) is located on the side edge of the automobile lamp (11), after the automobile lamp (11) is fixed through the supporting structure (2), whether a ventilation cap is installed on the automobile lamp (11) or not is rapidly detected through the detection structure (3), personnel can fix the automobile lamp (11) very rapidly, the automobile lamp (11) can be rapidly positioned, and the automobile lamp (11) can be rapidly fixed through the detection structure (3). And secondly, the detection structure (3) can be used for rapidly detecting the installation condition of the ventilation cap, so that the detection efficiency can be effectively improved.

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 present invention relates to the technical field of fiber optic sensors. Disclosed are a differential vernier effect-based probe, a manufacturing method, and an ocean temperature sensor. In the present invention, a fiber optic cable is connected to a fiber optic coupler / splitter, the fiber optic coupler / splitter being further connected to sensing arm A and sensing arm B; sensing arm A extends into a temperature sensing tube fixed in a quartz tube; sensing arm B extends into the quartz tube; sensing arm B is located outside the temperature sensing tube; reflective film A and reflective film B are fixedly connected to the end of the temperature sensing tube away from the fiber optic coupler / splitter, reflective film A being located inside the temperature sensing tube; a cavity between sensing arm A and reflective film A forms a main scale cavity; reflective film B is located outside the temperature sensing tube, the ends of reflective film B and sensing arm B extending into the quartz tube being arranged opposite to each other; and a cavity between sensing arm B and reflective film B forms a vernier cavity. The probe further comprises an evacuated unit, the evacuated unit being fixed on a sensor base. The sensor probe of the present application can effectively improve the signal-to-noise ratio and sensitivity.

The present invention discloses a label feeder with a stripping component that can move to avoid position, comprising: a frame plate, a material discharge component, a first stripping component, a second stripping component, a sensing component, a material clamping component, a first material receiving component, and a second material receiving component, the second stripping component comprising: a guide rail, a stripping seat, a motion cylinder, a lifting cylinder, a mounting table, a stripping plate, and a waste recovery basket, the motion cylinder drives the stripping seat to move back and forth along the guide rail, the lifting cylinder drives the mounting table to move back and forth up and down, the sensing component comprises: an optical fiber motion cylinder, and an optical fiber sensor, the sensing component is suspended above the second stripping component, and the optical fiber motion cylinder drives the optical fiber sensor to move back and forth left and right. The present invention uses the lifting cylinder to lower the mounting table to avoid position, thereby facilitating the camera to contact and stick with the foam label, avoiding the camera from colliding with the second stripping component, and realizing the stripping of the foam label through the stripping seat, meeting the feeding demand of the foam material label material.

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.

Disclosed is an interferometric fiber optic sensor for detecting chemical substances, comprising a light source, a detector and a light path arranged between the light source and the detector, further comprising a light splitting element and a fiber optic segment, the detector and the light source being connected to the light splitting element, having a measuring element forming a resonant cavity, the surface is suitable for being in contact with a chemical substance to be detected. The fiber segment and the measuring element are pressed together such that there is only a residual cavity therebetween. The fiber segment is contained within the capillary along at least a portion of its length. The first end of the capillary is connected to the measuring element, and the other part of the capillary is clamped on the optical fiber segment, so that the capillary, the optical fiber segment and the measuring element together form the optical fiber measuring probe as part of the optical path. The capillary has a length of at least 5 mm. The present disclosure also relates to a probe and a method for detecting chemical substances using an interferometric fiber optic sensor.

Single board multi-channel programmable detection sensor is disclosed. The sensor has a processor operatively connected to the emitter driver, and a photodetector for controlling one or more operational parameters of the sensor in response to a program. Sensor outputs the TTL signal when desired level of light attenuated or transmitted through the system of fiber optics sensors. The processor sets triggering levels of the signal detected by the sensor in analog fast comparator circuit to threshold based on the signal difference pre-set and actual values.

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.

The invention discloses an analogy modeling method and a delamination stress calculation method for an eye-shaped structure formed when an optical fiber is implanted into a carbon fiber composite material, and the method comprises the steps: obtaining the eye-shaped structure formed when the optical fiber is implanted into the carbon fiber composite material through a microscopic observation technology, and extracting the length-diameter ratio of the eye length to the diameter of the implanted optical fiber in the eye-shaped structure through a computer vision technology; constructing an optical fiber-carbon fiber composite material eye-shaped structure analogy finite element model by utilizing the determined length-diameter ratio, and converting the actual process of implanting the optical fiber into the carbon fiber into a numerical model; normal stress and shear stress are calculated through a finite element simulation analysis method, and prediction of delamination of a structure with a certain length-diameter ratio is completed by using a fracture criterion in fracture mechanics; according to the method, the influence of the optical fiber packaging size, the winding pre-tightening force and the interface resin enrichment structure on stress distribution is comprehensively considered, the influence of optical fiber implantation on the structural performance of the carbon fiber composite material can be quantitatively evaluated, and the structural integration reliability and the design efficiency when the intelligent carbon fiber material is embedded into the optical fiber sensor are effectively improved.

This invention discloses a digital twin intelligent water-saving system based on a distributed optical fiber sensor network, belonging to the field of water-saving management technology. Specifically, it includes: a distributed optical fiber sensor network laid along the water pipeline in a tree-like topology; a water use event identification module that collects optical fiber vibration signals, converts them into digital waveforms, and identifies trigger points through amplitude thresholds; a water supply topology construction module that constructs a water supply dependency topology graph containing nodes and directed edges based on the spatial location and time delay of the trigger points; a hydraulic model generation module that overlays the topology graph with a digital map of the water pipeline to generate a dynamic hydraulic balance model containing node water use intensity weight coefficients; and an intelligent water-saving control module that sends periodic intermittent closing commands to the intelligent water valves of low-weight nodes based on changes in node weights, with the command duration proportional to the weight difference between adjacent nodes. This invention achieves refined intelligent water-saving management for centralized water use scenarios.

The present invention provides a system and method for adaptively adjusting the position of sensors in a fiber optic sensor network, belonging to the field of fiber grating array sensing technology. The system includes: a first signal acquisition module for acquiring at least one first sensor signal from the fiber optic sensor network; a second signal acquisition module for acquiring a second sensor signal from the fiber optic sensor network; a position adjustment module for determining the real-time positions of multiple sensors in the fiber optic sensor network based on the second sensor signal, and determining whether the positions of the multiple sensors have shifted based on the original positions and the real-time positions. When the positions of the multiple sensors have shifted, the original positions are adjusted based on the real-time positions to obtain adjusted positions; the adjusted positions are used to demodulate the first sensor signal. The present invention adjusts the sensor position in real time based on the second sensor signal without pausing the acquisition of the first sensor signal, thereby ensuring the integrity of the first sensor signal.

The invention discloses a horizontal pushing type landslide ecological management system based on siphon drainage. The horizontal pushing type landslide ecological management system comprises an upward inclined hole, a guide pipe, a pressure difference sensor, a siphon pump, a drainage control device, an FBG optical fiber sensor and a vegetation type porous concrete groove. The upward inclined hole is formed below the sliding belt, has an inclination angle of 15-25 degrees and is used for guiding accumulated water in the sliding belt to be discharged; the guide pipe is nested in the upward inclined hole to form a siphon drainage channel; the differential pressure sensor is mounted on the conduit to detect the differential pressure of the water inlet and outlet; the siphon pump is connected with a guide pipe and is opened and closed through a drainage control device; when the pressure is 50kPa, a siphon pump is started for forced drainage, and the pressure difference is lt; closing when the pressure is 50kPa; the FBG optical fiber sensor is arranged in the sliding belt and monitors water pressure and micro-deformation in real time. The vegetation type porous concrete groove is connected with a guide pipe outlet. According to the system, minute-level response drainage of accumulated water in the sliding zone is achieved, the slope ecology is synchronously restored, and the landslide instability risk and the engineering operation and maintenance cost are remarkably reduced.

Injected light, such as pump light, provides power to each of one or more sensor modules in an optical fiber span extending between communication nodes. Each sensor module extracts some of the injected light. Part of the extracted light is used for power. Part of the extracted light is modulated with a sensor output signal and reinjected into the fiber span.

The present invention discloses a comprehensive control method for the deformation of surrounding rock in a three-dimensional stope under high-stress complex conditions, including step A, active support for controlling the deformation of surrounding rock in a deep stope; step B, constructing a three-dimensional stope dynamic pressure and deformation monitoring system based on LabVIEW and intelligent fiber optic sensors; step C, constructing a stope dynamic pressure and deformation visualization and early warning system; step D, constructing a dynamic deformation intelligent monitoring and control system. On the basis of selecting appropriate active support for controlling the deformation of surrounding rock in a deep stope, a three-dimensional stope dynamic pressure and deformation monitoring system based on LabVIEW and intelligent fiber optic sensors is established, combined with remote real-time visualization monitoring and prediction of stope dynamic pressure and deformation breakage, and based on the monitoring data, control technical measures are dynamically and accurately implemented, forming a set of key technologies for controlling the deformation of surrounding rock in a deep high-stress complex condition stope that is safe, economical and feasible.

The invention provides a GIS partial discharge detection method and system based on multi-sensor combination, and the method comprises the steps: dividing a GIS chamber into an A-type chamber and a B-type chamber according to whether the interior of the chamber is provided with a circuit breaker and an isolation switch; a reasonable typical defect model is arranged to simulate various possible defects in the GIS equipment, wherein the defects comprise a metal tip defect, a metal suspension defect, a metal attachment defect and a basin-type insulator bubble defect; an ultrahigh-frequency sensor, an ultrasonic sensor and a fluorescent optical fiber sensor are used in a combined manner, and corresponding different configuration modes are adopted for different sensors based on the characteristics of various sensors according to the types of cavities A and B and possible defects, so that the partial discharge signals of the GIS equipment are acquired; a high-cooperation and high-quality GIS equipment partial discharge signal set is obtained, and a comprehensive data source is provided for subsequent defect type determination and defect position positioning.

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.