235 results about "Fiber bragg grating sensor" patented technology

The invention discloses a coastal protection dam settlement monitoring method, and belongs to the technical field of hydraulic engineering safety monitoring. The method comprises the steps that a longitudinal monitoring section is arranged on the slope surface of the back sea side of a dam, a three-measuring-line fiber grating sensor array is arranged, and vertical displacement and horizontal dip angle data are periodically collected through a synchronous triggering unit; establishing a vertical displacement-horizontal dip angle joint analysis model by using a multi-source data fusion module, and eliminating tide level interference through a Kalman filtering algorithm to generate a settlement distribution curve; and triggering third-level to first-level early warning signals based on the grading early warning rule, and transmitting the signals to the terminal equipment. The problems that a traditional monitoring method cannot effectively separate tidal interference, the real-time performance is poor, and multi-dimensional data collaborative analysis is insufficient are solved, high-precision settlement monitoring, complex environment anti-interference and rapid emergency response are achieved through multi-measuring-line sensor deployment, dynamic filtering optimization and a graded early warning mechanism, and the method is suitable for large-scale popularization and application. And the reliability and timeliness of dam safety monitoring are obviously improved.

The invention provides an LNG ship containment system monitoring system and method based on a fiber bragg grating sensor, and belongs to the crossing field of fiber sensing technology and ship safety engineering, the system comprises a fiber bragg grating sensor and a demodulation device, the fiber bragg grating sensor is used for collecting optical signals, and the demodulation device converts the optical signals into electric signals and processes the electric signals. The fiber bragg grating sensor adopts a double-grating structure and is respectively used for stress monitoring and temperature compensation so as to realize omnibearing real-time monitoring. The fiber grating sensor comprises a tail fiber, a protective tube, a base, and a strain grating, a spring and a temperature grating which are located in the protective tube. According to the invention, the monitoring precision and safety of the LNG ship containment system can be improved; through a double-grating temperature compensation technology, the influence of temperature change on stress measurement is eliminated, and the accuracy and reliability of data are ensured; in addition, stress information in different directions can be obtained in real time through the three-dimensional stress monitoring scheme, the stress condition of the structure is comprehensively reflected, and the flexibility and adaptability of monitoring are improved.

A robotic surgical system includes one or more robotic actuators configured to interact with biological tissue during a surgical procedure. A plurality of sensors include at least one of fiber Bragg grating sensors, piezoelectric strain sensors, or magnetostrictive sensors to capture real-time mechanical, elasticity, or deformation data from biological tissues. deep learning engine trained on a dataset comprising tissue mechanical responses across multiple tissue types, pathological states, and patient demographics. Pre-contact predictive adjustment profiles are generated for anticipated tissue interactions using preoperative imaging data registered to intraoperative coordinates. Intraoperative deviations are detected from predicted mechanical behavior and autonomously recalibrate actuator forces. Upcoming surgical maneuvers are anticipated based on prior task sequences and adjust actuator stiffness or damping properties in preparation for anticipated contact. An emergency override of actuator forces is provided via an anomaly detection module when real-time sensor data deviates beyond a threshold from the predicted safe mechanical response range. A feedback loop iteratively refines the deep learning engine during the procedure using supervised learning updates, anomaly detection, and reinforcement learning strategies. The reinforcement learning model is optionally shared across procedures to optimize distributed actuator force patterns for minimizing localized and cumulative tissue stress.

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 discloses a multi-parameter monitoring and intelligent early warning system and method for a mine car dry disc braking device. The system comprises a data processing module, and a high-temperature fiber grating sensor, a laser displacement sensor, a piezoelectric vibration sensor, an industrial camera and an early warning execution module which are in signal connection with the data processing module. The data processing module corrects and processes the acquired temperature signal, thickness signal, vibration frequency signal and surface image signal, judges the wear state of the current brake device according to the signal processing result, and judges whether to send an early warning signal to the early warning execution module or not according to the wear state; and the early warning execution module implements corresponding early warning action according to the early warning signal. According to the method, the problem of misjudgment caused by single parameter monitoring is effectively solved, and the fault recognition accuracy is remarkably improved through multi-dimensional data cross validation. Seamless connection from state monitoring to safety protection is achieved through a closed-loop control system. And the multi-sensor cooperative working mode can effectively ensure the detection precision.

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 provides an underwater sonar target detection system and method. The underwater sonar target detection system comprises an optical fiber hydrophone array module which comprises a plurality of optical fiber hydrophone units, each unit comprises an optical fiber Bragg grating sensor and a sound pressure signal demodulation device, and the optical fiber hydrophone array module is used for collecting underwater sound wave signals in real time and converting the underwater sound wave signals into first electric signals; the sonar transmitting-receiving array module comprises a broadband sonar transmitter, a multi-beam receiver and a signal preprocessing circuit, and is used for actively transmitting a frequency modulation continuous wave signal, receiving a target reflection echo and generating a second electric signal; and the multi-mode signal fusion processing module comprises a high-speed data acquisition card, a self-adaptive noise suppression unit and a time-frequency analysis unit. The underwater sonar target detection system and method provided by the invention have the advantages of relatively high reliability, relatively high detection performance, relatively accurate cross-modal signal fusion and capability of performing intelligent target identification and tracking.

The invention discloses a battery thermal runaway early warning method based on multi-sensing information fusion, which is suitable for safety management of a lithium ion battery. A fiber bragg grating sensor is embedded into a battery, temperature and strain multi-dimensional physical parameters of the battery are monitored in real time, external electrochemical parameters are combined, and a multi-source sensing information fusion system is constructed. And by analyzing a square curve of an internal strain derivative, temperature gradient change and voltage drop characteristics, a thermal runaway early-stage signal is extracted, and graded early warning is realized. According to the method, the hysteresis of traditional surface parameter monitoring is broken through, an early warning signal is provided before thermal runaway, and the safety and reliability of a battery system are remarkably improved.

The invention provides a highway bridge joint vibration and deformation condition monitoring method, and particularly relates to the technical field of bridge structure health monitoring, and the method comprises the steps: laying a fiber bragg grating sensor array at a bridge joint, and the array comprises a plurality of fiber bragg grating sensors which are distributed at intervals along the length direction of the joint; and each sensor is connected with the joint filling body contact surface through a pre-embedded fixing structure. The sensor array collects strain signals and vibration signals in the joint in real time, analog-to-digital conversion and caching are completed through the data collection unit, digital sensing signals are generated and stored, and a historical monitoring data set is constructed. A noise suppression algorithm is adopted to filter the signal, and ambient temperature and humidity and electromagnetic noise interference are eliminated. Features are extracted based on a data fusion algorithm, and crack feature parameters reflecting the seam fine crack expansion trend are generated. A historical monitoring data set and the parameters are combined, a supervised learning model is used for calculating a dynamic adjustment threshold value, a real-time monitoring early warning signal is generated through comparison, and early-stage high-sensitivity monitoring of the seam is achieved.

The invention discloses a remote real-time monitoring and fault early warning method for a power supply operation state, and relates to the technical field of power electronics and energy management, and the method comprises the steps: collecting the temperature data of a key part of a power supply through an optical fiber Bragg grating sensor array, and analyzing the wavelength offset; electrical parameters are collected through a differential MEMS current / voltage sensor, and a permalloy / ferrite composite shielding layer is arranged in the sensor; collecting a mechanical vibration signal through a piezoelectric ceramic vibration sensor; for device data from different manufacturers, Modbus and CAN heterogeneous protocols are matched and analyzed through a regular expression, and the Modbus and CAN heterogeneous protocols are converted into a unified RDF triple format; inputting temperature, current and vibration data into a space-time alignment module, and constructing a semantic mapping relation by adopting an ontology; calculating a sensor confidence coefficient weight, and performing weighted fusion to generate an equipment health index; operating a lightweight LSTM model at an edge node, and detecting current harmonic and vibration resonance frequency band abnormity in real time; cOMSOL multi-physical field simulation is combined at the cloud end, and the evaporation rate of the capacitor electrolyte is predicted.

The invention discloses a method for detecting the strain of a key part of a wind turbine generator based on a temperature compensation OFDR demodulation weak fiber bragg grating array, and relates to the technical field of wind turbine generator detection, and the method comprises the steps: installing a weak fiber bragg grating sensor array at the key strain part according to the structural characteristics of the wind turbine generator, a temperature reference grating is arranged in the non-strain area or the constant-temperature area so as to monitor the temperature change in real time; a tunable laser, an optical fiber coupler and a photoelectric detector are utilized to construct an optical frequency domain reflection demodulation system, and system calibration is completed; based on an optical frequency domain reflection demodulation system, reflection spectrum signals are collected, the relation between wind turbine generator strain and temperature change is analyzed through a temperature compensation mechanism, and strain information of key parts of the wind turbine generator is obtained. According to the method, the accuracy and reliability of strain detection are effectively improved, and the problem of measurement errors caused by neglecting the influence of temperature change in a traditional method is solved.

Apparatuses and methods therefor generally relate to sensing. In one example of such an apparatus, there is a platform. An optical fiber with Fiber Bragg Grating sensors is located in a trench formed in the platform. The trench has curved sections. The Fiber Bragg Grating sensors are respectively in the curved sections of the trench.

The invention discloses a method for measuring fan blade root stress based on a fiber bragg grating sensor. According to the method, 6-10 key measurement points are selected in a blade root area of a fan blade, a pair of FBG sensors is installed at each measurement point, one FBG sensor is used for stress measurement (affected by strain and temperature at the same time), the other FBG sensor is used for temperature compensation, and decoupling of temperature and strain signals is achieved. The system adopts a single-mode optical fiber, a broadband light source (the wave band is 1525-1565 nm, and the power is 10-20 mW) and a high-resolution spectrum analyzer (the resolution is smaller than or equal to 1 pm, and the sampling rate is larger than or equal to 100 Hz or 1 kHz) to collect optical signals reflected by an FBG sensor in real time, measured wavelength shift is converted into accurate strain data through temperature compensation and a strain calculation formula, and the optical signals are transmitted to the FBG sensor. And calculating a stress value by combining the Young modulus and Poisson's ratio of the material. The method has the advantages of being high in precision, high in real-time performance, resistant to electromagnetic interference and suitable for seaborne, high-altitude and other severe environments, and reliable data support can be provided for dynamic stress monitoring, fatigue life prediction and fault early warning of the fan blade.

The invention provides an antenna oscillator production method, an antenna oscillator and communication equipment, and the method comprises the following steps: S1, material pretreatment: selecting a high-conductivity titanium-aluminum alloy plate, eliminating initial stress through vacuum annealing, and after annealing, removing an oxide layer and organic matters through plasma cleaning equipment; and S2, composite forming: carrying out stamping and stretching forming on the titanium-aluminum alloy plate by using a die to form an antenna oscillator, and integrating a fiber bragg grating sensor in the stamping process to monitor the stress distribution of the material in real time. According to the production method of the antenna oscillator, the antenna oscillator and the communication equipment, the annealing and cooling processes are accurately controlled, and the stress distribution is monitored in real time by using the FBG sensor, so that the production period of the antenna oscillator is remarkably shortened, the waiting time in the production process is reduced, and the production efficiency is improved. The problems of deformation, cracking and the like caused by stress concentration in the machining process of the antenna oscillator are greatly reduced, the rejection rate is reduced, and waste of raw materials and energy is reduced.

The invention discloses a chlorine salt corrosion resistant prestressed concrete solid square pile and a construction method thereof, a cementing material of a pile body concrete body of the square pile comprises a mineral admixture accounting for 50%-70% of the total mass of the cementing material, and the cementing material adopts Portland cement; sacrificial anode blocks electrically connected with the main reinforcements are embedded in the pile body concrete body. The pile body concrete body is doped with a composite corrosion-resistant and rust-resistant agent; the outer surface of the pile body concrete body is coated with polyurea waterproof paint or epoxy seal primer. An electromigration type corrosion inhibitor and a microcapsule containing bacillus are doped into the pile body concrete body; the prestressed main reinforcements are steel reinforcements with anti-corrosion coatings; and fiber bragg grating sensors are pre-embedded around the prestressed main reinforcements. The mixing proportion of the concrete body of the pile body is specially designed for fixing and blocking chloride ions, an inapplicable sulfate-resistant cement scheme is abandoned, and the chlorine salt resistance is improved from the source of materials.

The invention discloses a true triaxial dynamic and static combined loading and multi-field coupling test device and method. The test device comprises a test cavity; the loading system comprises an axial loading device, a Hopkinson pressure bar, a longitudinal loading device and a vertical loading device; the axial loading device is configured to apply an axial load to the test coal sample; the Hopkinson pressure bar is configured to apply an impact load to the test coal sample; the longitudinal loading device is configured to apply a longitudinal load to the test coal sample; the vertical loading device is configured to apply a vertical load to the test coal sample; the gas supply system comprises a gas bottle and is configured to inject gas into the test cavity; the fiber bragg grating monitoring system comprises a fiber bragg grating sensor and a fiber bragg grating demodulator, and the fiber bragg grating demodulator is configured to be used for sensing a change signal of a strain field of the test coal sample under the loading action of the loading system; and the ultrasonic phased array monitoring system comprises an ultrasonic transducer and is used for sensing an ultrasonic signal of the test coal sample under the loading action of the loading system.

The present invention provides a non-contact optical fiber sensing system and method. The system includes a passive fiber Bragg grating sensor and an active demodulation analyzer. The passive fiber Bragg grating sensor includes an optical fiber and a fiber Bragg grating sensor connected in series on the optical fiber. The active demodulation analyzer includes a laser light source, an optical circulator, and a demodulation analyzer. One end of the passive fiber Bragg grating sensor is connected with a first fiber collimator. The active demodulation analyzer further includes a second fiber collimator and an alignment mechanism. The laser light source is connected to the first end of the optical circulator for outputting an optical signal. The optical fiber led out from the second end of the optical circulator is connected with the second fiber collimator. The second fiber collimator is used for non-contact alignment with the first fiber collimator under the adjustment of the alignment mechanism so as to transmit the optical signal bidirectionally. The demodulation analyzer is connected to the third end of the optical circulator. The present invention can expand the application scenarios of the optical fiber sensing system and save costs.

The invention relates to the technical field of post insulator detection, and discloses a post insulator crack detection method and system based on stress wave recursion characteristics, and the method comprises the steps: S1, generating an initial stress wave through a high-energy pulse exciter, and introducing the stress wave into a post insulator; s2, collecting a dynamic response signal of insulator stress wave propagation by using a distributed fiber bragg grating sensor network; s3, carrying out preprocessing on the dynamic response signal; s4, acquiring real-time environment parameters through an environment monitoring sensor; s5, combining material attributes and geometric structures of the post insulators; and S6, outputting recursive quantization features based on the recursive neural network model. According to the method, a stress wave propagation path is dynamically tracked by constructing a recurrent neural network model, multiple reflection characteristics of waves are quantified, abnormal phase deviation is accurately captured based on material attribute physical constraints, and the energy characteristic analysis capability of tiny defects is remarkably enhanced.

The water electrolysis cell state in-situ monitoring system is used for monitoring a PEM water electrolysis device, and comprises a first fiber bragg grating sensor array and a second fiber bragg grating sensor array which are arranged in a polar plate flow channel; the computer is used for analyzing optical signals obtained by the first fiber bragg grating sensor array and the second fiber bragg grating sensor array and displaying the optical signals as temperature field and bubble state information. According to the water electrolysis cell state in-situ monitoring system and method provided by the invention, a temperature field and a stress field in the water electrolysis cell and the state of hydrogen bubbles generated by reaction can be monitored in real time, and multi-area coverage monitoring can be realized through an array formed by sensors, so that the monitored bubble field information is more complete; and meanwhile, the sensitivity performance is improved by coating the metal layer outside the cladding of the inclined gate region.

The invention discloses a track axle counting device and a track axle counting method. The system comprises an electromagnetic axle counting module and an axle counting host unit, the electromagnetic axle counting module comprises an electromagnetic axle counting sensor unit and a fiber grating sensor unit; the fiber bragg grating sensor unit is used for generating a synchronously changing wavelength signal due to the change of rail stress when a train wheel passes through an axle counting point and inputting the wavelength signal into the axle counting host unit; and the axle counting host unit is used for determining whether the electromagnetic axle counting sensing unit is in an interference error axle counting state or not according to the electromagnetic axle counting current information and the wavelength signal and determining the actual axle number of the axle counting point. According to the technical scheme, whether the electromagnetic axle counting sensor unit is interfered or not is determined according to the electromagnetic axle counting current information of the electromagnetic axle counting sensor unit and the wavelength signal of the fiber grating sensor unit, then the axle counting number is judged, the situation that the electromagnetic axle counting sensor unit counts axles mistakenly due to metal foreign matter or electromagnetic interference is eliminated, and the axle counting accuracy is improved. And the safety and the stability of a train operation system are improved.

The invention provides an offshore wind power pile foundation scouring real-time monitoring system which comprises an underwater camera, a rotatable scanning sonar, a single-point flow velocity meter, an acceleration sensor, a fiber grating sensor and a data processing transmission unit which are cooperatively used. Synchronous monitoring of the seabed terrain around the pile, the scour depth and range, the ocean current flow velocity and flow direction and the pile foundation vibration response acceleration signal and strain signal is achieved; the data processing and transmitting unit completes collection and fusion analysis of multi-source data and transmits a monitoring result to a land monitoring station in real time. According to the system, collaborative real-time monitoring of multi-element parameters of ocean current-scoured terrain-structural response is achieved, the dynamic evolution law of the seabed terrain is accurately mastered, a dual verification mechanism of directly detecting the scour depth by scanning sonar and inversing the scour depth by structural vibration response is adopted, the scour depth monitoring precision can be greatly improved, and the real-time performance of the system is improved. And reliable data support is provided for long-term safe operation, structural health assessment and scouring protection design of the offshore wind turbine.

The invention discloses an underwater intelligent cable spatial form reconstruction system based on fusion of fiber bragg grating sensing and underwater acoustic positioning, and belongs to the technical field of underwater measurement and sensing. A plurality of fiber bragg grating sensors are inscribed on a three-core fiber in the intelligent cable of the system along the length direction to measure multi-point strain data along the length direction. According to the strain distribution, the bending curvature and the torsion of each measuring point are calculated, a continuous curvature and torsion function is constructed, the tangent vector, the normal vector and the sub-normal vector of each point of the cable are solved in combination with a Freen-Serret algorithm, and the tangent vector is integrated to obtain the space curve form of the cable. And determining the absolute position of the cable terminal in the three-dimensional space according to the acoustic ranging result. And realizing spatial form and attitude recognition of the whole underwater cable through constraint fusion of a curve reconstruction result and an end point position. According to the system, an inertial measurement unit is arranged on a cable to obtain local attitude information, so that the accuracy and the stability of curve reconstruction are improved. The method can be widely applied to space state monitoring of underwater long cable operation.

The invention provides a gradient nano composite high-entropy alloy coating system with a self-monitoring function and a preparation method, and relates to the technical field of material surface engineering.The system comprises a functional gradient coating module used for achieving gradient dispersion distribution of nano ceramic particles on the curved surface of a shield hob so as to form a gradient nano composite high-entropy alloy coating; the fiber bragg grating sensing module is used for collecting strain data of the shield hob through a fiber bragg grating sensor integrated on the shield hob; the surface thermal image monitoring module is used for collecting temperature data and image data of the surface of the shield hob through an infrared thermal imager; and the self-adaptive repairing module is used for determining repairing parameters of the shield hob and generating a repairing instruction, so that self-adaptive repairing is carried out on the shield hob through preset repairing equipment according to the repairing instruction. According to the invention, the sensor network is successfully integrated in the gradient coating, and integrated fusion of structural health monitoring and protection functions is realized.

The invention discloses a power cable laying stress monitoring device which comprises a stress sensing module, a signal processing module, a data transmission module and a power supply module. The stress sensing module adopts an integrated FBG (Fiber Bragg Grating) sensor array of a flexible mounting belt, and realizes non-damage coating of a cable with the diameter of 3-200mm through an adjustable fastening device; the signal processing module comprises a low-noise optical fiber amplifier and a self-adaptive noise reduction algorithm, and is used for realizing + / -0.5 mu epsilon strain resolution and 5ms dynamic response; the data transmission module adopts a multi-band 4G / 5G communication module and supports AES-256 encryption and edge calculation; and the power supply module adopts a solar energy-lithium iron battery hybrid power supply system to realize 30-day uninterrupted operation. Through collaborative design of the FBG sensing array and the flexible mounting belt, the device solves the problems of poor mounting adaptability, low precision, response lag and the like of a traditional stress monitoring device, and is particularly suitable for real-time stress monitoring in the power cable laying process.

The invention provides a wafer jacking device and wafer transfer equipment, and the wafer jacking device comprises a supporting plate which is used for supporting a wafer, an optical fiber channel is embedded in the supporting plate, an optical fiber grating sensor is arranged in the optical fiber channel, the optical fiber grating sensor comprises a distributed optical fiber grating array, and the distributed optical fiber grating array is arranged in the optical fiber channel; the number of the fiber grating sensors is three or more than three. The lifting mechanism is used for controlling the supporting plate to ascend or descend, and an accelerometer and a piezoelectric actuator are arranged at the joint of the lifting mechanism and the supporting plate; the fiber bragg grating demodulator is used for receiving and demodulating the reflected light signal of the fiber bragg grating sensor so as to obtain temperature change information; and the vibration controller is used for controlling the piezoelectric actuator to work according to the measurement data of the accelerometer so as to offset the vibration noise. According to the wafer jacking device and the wafer transfer equipment, the surface temperature of the wafer on the supporting plate can be reversely calculated, the problem of uneven contact or pollution during temperature measurement of the wafer is solved, and the temperature measurement precision is improved.

The invention provides a real-time multi-mode emergency patient treatment path intelligent matching method, an electronic device and a storage medium, and the method comprises the steps: obtaining the micro-strain wavelength offset and body surface pressure data of an intelligent textile in a body position movement process of a trauma patient in real time through an embedded fiber Bragg grating sensor; in combination with multi-axis acceleration data acquired by a multi-axis acceleration sensor on the transfer stretcher, generating a body surface pressure gradient distribution thermodynamic diagram; determining the position of a wound surface and extracting taboo bumping spectrum features; generating an initial candidate path set based on the bump frequency forbidden zone and a road roughness label in the electronic map, and screening out an optimal navigation path according to a turning centrifugal force threshold value; the moving speed of the transfer vehicle is obtained in real time through the vehicle-mounted positioning module, the transmission channel bandwidth of the preset broadcast channel is dynamically adjusted, and the optimal navigation path is sent to other terminals. According to the invention, the accuracy and real-time performance of the transfer path planning of the traumatic patient are improved.

The invention provides a dynamic load-oriented brazed diamond bonding strength testing device and method. The dynamic load-oriented brazed diamond bonding strength testing device comprises a base, a test framework, a self-adaptive sample holding unit, a data acquisition unit and a visual auxiliary alignment unit, the self-adaptive sample holding unit realizes stable clamping and angle adjustment of a sample through a rotatable platform, a translation bottom table, a hydraulic clamping cylinder and an angle adjusting piece; the data acquisition unit acquires a shear force-displacement curve by using a fiber bragg grating sensor, and a high-speed camera records a fracture process; and the vision-assisted alignment unit (high-resolution industrial camera) is used for calibrating the positions of the sample and the pressure head. The method comprises the steps of intelligent pre-characterization clamping, variable load dynamic shear testing, in-situ fracture mode judgment, multi-mode effective fracture area measurement and multi-dimensional strength characterization. According to the invention, the sample positioning and clamping stability is improved, the loading interference is reduced, the interface bonding strength is quantitatively and reliably represented under the dynamic load, and the test accuracy and repeatability are guaranteed.

The invention belongs to the technical field of mining monitoring equipment, and particularly relates to a coal mine hydraulic support displacement monitoring method, a terminal and a storage medium, and the method comprises the steps: deploying fiber bragg grating sensors at a top beam, a base and a stand column of a hydraulic support to collect the three-dimensional strain data of the hydraulic support; based on a pre-stored ICP point cloud registration algorithm, the preprocessed three-dimensional strain data and a hydraulic support CAD model called from a database are fused, and a dynamic three-dimensional scene is generated; and calculating the coordination degree index CSI of the hydraulic support group in real time according to the generated dynamic three-dimensional scene, and triggering early warning when the coordination degree index CSI of the hydraulic support group is smaller than a preset index threshold value. The optical fiber Bragg grating sensors are arranged on the top beam, the base and the stand columns of the hydraulic support, synchronous collection of three-dimensional strain data of the hydraulic support is achieved, and the problems that a traditional ultrasonic range finder is prone to being interfered by dust and large in measurement error are effectively solved.

The invention discloses a composite material curved surface impact positioning method based on optical fiber sensors, and belongs to the field of composite material structure monitoring, and the method comprises the steps: embedding or attaching a plurality of optical fiber sensors in a composite material curved surface structure, selecting a fiber bragg grating sensor, and carrying out the design of a composite material. By means of finite element analysis software and in combination with engineering experience, key areas such as connection parts, load concentration areas and the like and possibly damaged areas are accurately determined, optimized layout is carried out according to area characteristics and mechanical requirements, two-dimensional or three-dimensional latticed distribution is formed, and full-coverage monitoring of the curved surface is achieved. According to the invention, the fiber Bragg grating sensors are optimally arranged in key and vulnerable areas of a composite material curved surface to form two-dimensional or three-dimensional latticed distribution, and special flexible packaging and an advanced manufacturing process are matched to adapt to a complex curved surface, realize full-coverage monitoring, avoid a monitoring blind area of a traditional sensor and accurately capture impact information.

The utility model discloses a tunable laser light source for spectrum sensing, which comprises a tunable DFB laser array chip, a star coupler chip, an SOA array chip and an optical fiber array which are connected through waveguides, tunable lasers in each row are connected through waveguides, the lasers with adjacent wavelengths are distributed on different waveguides, and the optical fiber array is connected with the star coupler chip. The light output end of each waveguide is provided with an SOA. According to the utility model, the star-shaped coupler is adopted to uniformly distribute energy of light with different wavelengths of the tunable laser array to each light output waveguide, and the energy respectively enters different fiber grating sensors or fiber MEMS sensors and the like to realize temperature or strain sensing at the same time and realize multiplexing tree-shaped sensing and demodulation at the same time; the energy loss in the transmission process is reduced; the chips of different material systems are coupled by adopting a photon lead bonding or butt joint growth technology, the photon lead bonding technology does not need high-precision alignment, the processing efficiency is high, low-cost hybrid integration among the chips is realized, and the device is integrally compact.