95 results about "Bridge vibration" patented technology

The invention provides a bridge structure damage detection method based on image processing and CNN-LSTM, relates to the field of graphic image processing, and solves the problems that bridge vibration monitoring in the prior art is time-consuming, labor-consuming, high in cost and limited in precision, and adopts the technical scheme that the method comprises the steps of obtaining a recorded vibration video of a to-be-detected bridge structure; extracting the vibration video frame by frame to obtain bridge image data; detecting angular points by using a Harris algorithm, screening image data, and calculating vertical displacement of each feature point one by one; using a Lucas-Kanade optical flow algorithm to calculate the motion vectors of the feature angular points of the adjacent frame images; calculating the actual vibration displacement of the bridge; and carrying out standardization processing on the actual vibration displacement to obtain a two-dimensional matrix, inputting the two-dimensional matrix into the trained CNN-LSTM model, and outputting a final identification result of each type of damage. According to the scheme of the invention, high-precision bridge vibration displacement can be calculated, and efficient, accurate and high-precision bridge damage detection can be realized through the CNN-LSTM damage identification model.

The invention discloses an intelligent controllable road bridge vibration detection method based on magnetorheological fluid and a damping device, and belongs to the technical field of bridge engineering structure health monitoring and vibration control, and the method comprises the steps: calculating a comprehensive vibration strength index through multi-source signal fusion and adaptive Kalman filtering, and estimating the bridge speed; the damping force is mapped through the pre-calibration database, and a damper state verification mechanism is introduced; a gain self-adaptive ceiling algorithm is combined with a fuzzy PID control force algorithm for tracking to realize accurate control; finally, the health state of the system is evaluated through performance degradation indexes of temperature compensation, corresponding devices are integrated with a sensing network, a control unit and a distributed acquisition architecture, and the problems that a traditional system is single in state sensing, fixed in control strategy, lack of a self-diagnosis function, complex in engineering wiring and the like are solved. The comprehensive solution integrating intelligent monitoring, self-adaptive control and health self-diagnosis is realized, and the reliability, adaptability and maintainability of the bridge damping system are remarkably improved.

The invention provides a bridge stay cable video multi-target identification tracking and vibration extraction method based on an unmanned aerial vehicle. The method comprises the following steps: 1, constructing a bridge stay cable refined inclined slender target detection model based on a YOLOv11 model; 2, providing a multi-target tracking algorithm fusing the inclined slender target detection model and a StrongSORT algorithm; step 3, improving a displacement extraction method combining SIFT / ORB feature point matching and a sub-pixel refinement technology; 4, designing an unmanned aerial vehicle motion correction algorithm based on variational mode decomposition and time-frequency domain combined screening; and 5, constructing a joint working modal analysis algorithm for realizing combination of a natural excitation technology and a random subspace recognition algorithm. According to the method, high-precision extraction of the vibration signals of the stay cable and identification of modal parameters of the stay cable are realized, and technical support is provided for health monitoring of the large-span cable-stayed bridge.

The invention discloses a lightweight spliced bridge vibration monitoring system for cooperative work performance intelligent perception, and belongs to the technical field of bridge structure health monitoring, and the lightweight spliced bridge vibration monitoring system comprises a lightweight targeted sensing subsystem which comprises a plurality of perception assemblies arranged in a targeted manner; the intelligent edge acquisition and transmission subsystem has an independent addressing function and a time synchronization function and is used for preprocessing and lightweight processing; the cloud edge collaborative storage management subsystem performs hierarchical storage, security control and efficient retrieval on the data to form monitoring data; and the cooperative performance perception early warning subsystem realizes state evaluation and graded early warning of the cooperative work performance of the spliced bridge through multi-index fusion. By adopting the lightweight spliced bridge vibration monitoring system for cooperative work performance intelligent perception, the problems of insufficient lightweight and targeting performance, low data processing, transmission and storage efficiency, and inaccurate cooperative performance evaluation, damage positioning and early warning of traditional spliced bridge vibration monitoring are solved.

The invention relates to the technical field of bridge vibration reduction, in particular to a double-spring frequency conversion lever tuned mass damper device and a regulation and control method. The double-spring frequency conversion lever tuned mass damper device comprises a base, a lever, a mass block, a first spring and a second spring. Wherein the base is used for being connected with a to-be-damped structure; the middle of the lever is rotationally connected with the base; the mass block is arranged on the lever and located on one side of the base. The first spring and the second spring are located on the two sides of the base respectively, connected with the lever or abut against the lever and used for balancing the gravity of the mass block, and the first spring is located between the mass block and the base. The problems that in the prior art, when the spring end stress and the mass block end stress are amplified in a lever proportion, the pin shaft stress is too large, damping is too large, debugging is difficult, the pin shaft and a lever need to be thickened or made of special alloy, the manufacturing cost is increased, and potential safety hazards are possibly caused by material fatigue are solved.

The invention belongs to the technical field of vibration control, and discloses a tuned mass damping device for controlling low-frequency vertical bending vortex vibration of a large-span bridge, which consists of a fixed pulley, a mass block, a high-strength light force transmission cable, a spring, a hanging ring and a damper. Fixed pulleys and mass blocks are arranged at the positive and negative maximum displacement positions of a longitudinal bridge direction mode of a main beam respectively, a suspension system is formed by a full-length force transmission cable, and the gravity of the two mass blocks is basically balanced; the mass block is connected through the spring and is close to the bridge vibration control target frequency. When the bridge vibrates, the two mass blocks generate inertia forces which are opposite in direction but overlapped with each other, the driving system and the bridge form resonance, and therefore bridge vibration is effectively restrained. The gravity of the mass block can be self-balanced, the strength and the number of the springs are greatly reduced compared with those of a traditional TMD, any low-frequency tuning can be conducted in a vertical limited space, and the engineering cost is remarkably reduced. The device can be used for controlling vertical bending and torsional vibration of various engineering structures; the damper is replaced by an actuator, so that active control can be realized or the damper can be used as a structural excitation device.

The embodiment of the invention discloses a vibration control method and system for a steel-concrete combined box girder bridge, and the method comprises the steps: carrying out the vehicle-bridge coupling vibration analysis through building a space finite element model which accurately considers the interface slippage and shear hysteresis effect; an initial optimal parameter group of the multi-tuned mass damper is optimized and determined based on an analysis result, and installation tuning is carried out; in the operation stage of the bridge, vibration is monitored in real time through the sensor system, parameters of the damper are dynamically adjusted by the controller according to the deviation between measured data and a target value, and self-adaptive control is achieved. Thus, high-precision simulation, optimization design and intelligent control are combined, the problem that the control effect is poor due to model simplification and fixed parameters in a traditional method is solved, and vibration suppression accuracy and environmental adaptability are remarkably improved.

The invention provides a bridge vibration displacement detection method and system based on image enhancement and space-time tracking, and relates to the technical field of bridge detection and computer vision, and the method comprises the steps: obtaining a video image frame sequence of a bridge structure, carrying out the cooperative processing of image frames through employing an ACAE adaptive image enhancement algorithm, and obtaining an enhanced reconstructed image; inputting the reconstructed image into an AHSD-Net detection model, introducing a depth separable convolution module into a backbone network of the AHSD-Net detection model, performing spatial aggregation of preliminary features in a neck network by combining a dynamic upsampling mechanism, and finally outputting to obtain a target position detection result; based on a cascaded ST-Refine Track strategy, density denoising and position correction of a space dimension, cross-frame association of a time sequence dimension and adaptive smoothing processing of a state dimension are sequentially executed on a target position detection result, and a continuous and stable bridge vibration displacement curve is obtained. According to the invention, the displacement measurement precision and reliability are improved.

The invention discloses a bridge damage assessment method based on acceleration spectrum analysis after an axle impact event. According to the method, based on long-term vibration monitoring data of the bridge and real-time data during axle collision, the maximum impact force borne by the bridge during collision is calculated, the maximum impact force calculated through the two methods is compared, the fitting degree is analyzed, and therefore a bridge damage state evaluation model is constructed, and basic bridge damage evaluation indexes are established; and the damage degree of the impacted bridge can be quickly evaluated in real time. By establishing the bridge damage state evaluation model, the real-time damage condition of the prestressed concrete bridge can be evaluated, and the damage degree of the bridge after being impacted can be quickly judged.

The invention discloses a dynamic evaluation method for physical constitutive and reliability of bridge vibration along a time axis, and relates to the technical field of dynamic evaluation of bridge reliability along the time axis, and the method comprises the steps: building a loss function of a physical information driving model through a vibration equation of a bridge and initial conditions and boundary conditions of the vibration equation of the bridge; a feasible region of a sample point is divided into a plurality of feasible region units to obtain a training sample of a physical information driving model, after the physical information driving model is trained, the amplitude on a bridge is predicted, and a system performance function is established to obtain the dynamic failure probability of the bridge along a time axis. According to the method, the amplitude of the bridge is predicted by using a physical information driving model, the problem that the traditional reliability dynamic evaluation along the time axis needs to depend on a large amount of simulation calculation to obtain samples is solved, and the calculation cost is effectively reduced. By adopting a dynamic resampling method, higher training speed and higher performance response calculation precision can be obtained.

The application relates to the technical field of bridge vibration control, in particular to a bridge excitation and damping integrated device, a bridge and a laying method. The bridge excitation and damping integrated device comprises a mass block, a spring assembly, an actuator and two groups of lever assemblies. The middle part of the mass block is provided with a mounting hole, and a flywheel is arranged on the mass block. The spring assembly is arranged below the mass block and connected with the mass block, and the other end is connected with a structure to be damped. The actuator is arranged in the range of the mounting hole. The two groups of lever assemblies are respectively connected with the mass blocks on the two sides of the mounting hole through power arm ends, and the resistance arm ends are connected with the end parts of the telescopic rods of the actuator. When the telescopic rods of the actuator are telescopically extended or retracted, the mass blocks are driven to move up and down through the lever assemblies. The problem that the damping effect is only predicted through numerical simulation or simplified model test in the prior art and it is difficult to adjust parameters after installation can be solved. In addition, the nesting layout of the actuator and the mass block can reduce the requirement for the installation space by using the lever displacement amplification principle.

This invention discloses a safety mechanism for a steel frame bridge connection device, including a traction cable, a damping assembly, and accessory supports. The traction cable is vertically installed on the bridge body. The damping assembly consists of an elastic sleeve and a rigid sleeve. The elastic sleeve has circumferentially spaced damping cavities filled with a fluid medium on its wall. The rigid sleeve has an annular cavity connected to each damping cavity via a bypass hole. A retractable and controllable plunger is installed within the annular cavity. This invention can dynamically adjust the damping and damping force by pressurizing or depressurizing the fluid through the expansion and contraction of the plunger according to the bridge's vibration state, achieving adaptive matching of damping parameters. This solves the problem that existing passive devices cannot adaptively adjust, effectively coping with large-amplitude, wide-frequency, and high-frequency vibrations, avoiding resonance and damping failure, and significantly improving the damping effect, stability, and protection life of the bridge connection structure.

The application discloses an analysis method for key local vibration of fluid-solid coupling bridges based on a substructure method, and relates to the technical field of bridge vibration analysis, and comprises the following steps: dividing a response key area in a bridge structure into substructures, performing static condensation, and obtaining a condensed substructure model; establishing a whole bridge-wave coupling model, and adopting a dynamic explicit solving strategy based on a coupling Euler-Lagrange method; independently solving the substructures by using a dynamic implicit method; coupling the substructures to the whole model by an interface coordination condition, and jointly calculating the whole explicit model and the local implicit model. The analysis method adopts an explicit method to process a strong nonlinear fluid-solid coupling process at a whole level, and establishes a fine substructure model through Guyan static condensation at a local area, so that the analysis precision is effectively improved.

The invention belongs to the technical field of bridge vibration reduction, and discloses a TMD parameter design method for modal dense bridge multi-modal vortex vibration control. Modal analysis is carried out on the target bridge, and modal frequency, vibration mode and modal mass where vortex vibration possibly occurs are extracted; then based on a modal shape amplitude threshold, screening significant extreme points of each order of modal, calculating the number of the significant extreme points, and determining the priority of TMD design according to the number from small to large; for a mode with the number of extreme points being 1, the TMD is installed at the unique position; for a mode with the number of extreme points exceeding 1, the TMD mass is split and arranged at symmetrical positions meeting the mode decoupling condition, and therefore mode coupling caused by improper installation positions is avoided. And finally, determining the frequency ratio and the damping ratio of each TMD based on a Den Hartog empirical formula. The method does not need a complex optimization algorithm, is simple in design process, and is suitable for engineering practice; and modal coupling can be effectively inhibited, and the multi-modal vortex vibration control efficiency is improved.

The utility model discloses bridge bearing capacity nondestructive testing device belongs to bridge bearing capacity detection technical field, and its technical key points include clamping subassembly, exciter subassembly, limiting component and hoist subassembly. The utility model, when the bearing capacity of bridge is detected, in order to avoid damaging bridge during detection, therefore can first place the piece and connect on bridge guardrail, at this time through hoist subassembly can move installation spare to bridge side end, and through the clamping of two clamping plates, can make installation spare can stably set up in bridge side end, at this time through limiting component can be fixed to the position of two clamping plates, thereby avoid installation spare to fall off, after can through single heavy vehicle and travel at different speeds and inspire bridge vibration, and through exciter subassembly vibration data collection, detection, thereby can detect the bearing capacity of bridge.

In order to overcome the problem that the current technology is difficult to estimate and continuously correct the bridge twin model by obtaining a series of test and test data, the application provides a bridge twin dynamic model Fourier modeling method based on test data, which is only related to the parameters of the bridge according to the system matrix related to all nodes of the bridge and the observation coefficient matrix related to all nodes, and the first continuous test process of the bridge does not change greatly, and the first comprehensive detection of the bridge twin dynamic mathematical model and the subsequent each time of the bridge twin dynamic mathematical model comprehensive correction process is relatively short, according to the characteristics of the fast and slow change matrix, the slow change matrix is set as a constant matrix in the first continuous test, and the system matrix related to all nodes of the bridge and the observation coefficient matrix related to all nodes in the bridge twin model are established through a series of effective tests and optimal indexes, and the bridge twin model is continuously corrected in the whole life cycle of the bridge, so that the technical problem of estimating and improving the bridge vibration model by obtaining a series of test and test data is solved.

The invention provides a vibration modal analysis method for a large-span cable-stayed bridge, and belongs to the technical field of bridge engineering, the cable-stayed bridge is simplified into a multi-cable cable-stayed beam structure considering the influence of cable force, and a cable-stayed bridge dynamic model is constructed through a parameterized order reduction technology; deducing a frequency characteristic equation of the cable-stayed bridge by combining a transfer matrix method and boundary conditions of the cable-stayed bridge; by solving the characteristic equation, the inherent frequency and modal characteristics can be determined more accurately and quickly; according to the method, the technical bottleneck of insufficient calculation efficiency of a traditional finite element method is innovatively solved, and fine evaluation of the fundamental frequency and the dynamic characteristics of the large-span cable-stayed bridge is completed; the method has both theoretical preciseness and engineering practicability, the calculation efficiency is remarkably improved, a new technical means is provided for dynamic performance evaluation of the kilometer-scale cable-stayed bridge, and the method has important engineering application value.

This invention proposes a method for multi-target recognition, tracking, and vibration extraction of bridge cable-stayed bridge videos based on unmanned aerial vehicles (UAVs). The method includes: Step 1: Constructing a refined tilted and slender target detection model for bridge cable-stayed bridges based on the YOLOv11 model; Step 2: Proposing a multi-target tracking algorithm that integrates the tilted and slender target detection model and the StrongSORT algorithm; Step 3: Improving the displacement extraction method by combining SIFT / ORB feature point matching and sub-pixel refinement techniques; Step 4: Designing a UAV motion correction algorithm based on variational mode decomposition and time-frequency domain joint screening; Step 5: Constructing a joint working mode analysis algorithm that combines natural excitation technology and random subspace recognition algorithm. This method achieves high-precision extraction of cable-stayed bridge vibration signals and identification of cable-stayed bridge modal parameters, providing technical support for health monitoring of long-span cable-stayed bridges.

The invention discloses a bridge damping ratio rapid identification method based on a static detection vehicle, and relates to the technical field of bridge structure vibration tests.The method comprises the steps that the detection vehicle statically stops at the midspan position of a bridge to be detected, the bridge is driven away after being excited by a passing vehicle to vibrate, and the acceleration response of the detection vehicle in an attenuation section is collected; establishing an attenuation section dynamic model of the detection vehicle-bridge coupling system; constructing a two-degree-of-freedom joint state model, and internalizing an axle interaction force into a linear combination of system state variables; an effective attenuation section is extracted through signal preprocessing, and a dual anti-noise mechanism of a signal-to-noise ratio adaptive weight and a Huber weight is introduced; a section two-stage parameter identification strategy is adopted, the frequency and modal quality are locked firstly, and then the first-order damping ratio of the bridge is identified through fine scanning. The method only needs a single detection vehicle and an acceleration sensor, does not need to arrange a sensor on a bridge body, is high in anti-interference performance, is high in recognition precision, and is suitable for the rapid inspection of small and medium span bridges.

The utility model belongs to the technical field of bridge vibration control, and provides a large-span split type steel box girder bridge vortex vibration control device. The novel control concept and measure are provided, the lifting lugs, the lock catches and the control net are utilized to assemble the efficient and reliable control device which is low in cost, convenient to assemble and disassemble, light, handy and durable, and the control device is installed at the open groove in the daily operation state of a single-width or double-width bridge to restrain vortex vibration response. According to weather forecast, before extremely strong wind comes, the device is quickly dismantled, the original aerodynamic configuration of the bridge is recovered, the flutter stability is ensured, and installation is recovered after the strong wind. The large-span split type steel box girder bridge vortex vibration control device is simple in structure, free of complex mechanical parts, convenient to assemble and disassemble, economical, practical, not limited by the bridge vortex vibration frequency and the vortex vibration order, capable of reducing the lateral wind load of a bridge and excellent in comprehensive performance.

This invention provides a displacement-amplified energy-dissipating vibration damping device for bridges, relating to the technical field of bridge vibration damping equipment. A base structure is slidably connected to a slider structure along a first direction. A connecting steel arm structure is used to connect to the main beam, and includes a first gear and a second gear coaxially connected. The first gear meshes with the base structure; the second gear meshes with the slider structure, so that when the connecting steel arm structure moves relative to the base structure along the first direction, the slider structure moves in the same direction as the connecting steel arm structure. The energy-dissipating structure includes a pin and two sets of elastic energy-dissipating components connected by the pin. The base structure limits the movement of the two sets of elastic energy-dissipating components along the first direction. This invention alleviates the technical problem in the prior art where limited relative displacement makes it difficult to fully dissipate seismic input energy, thus restricting the working efficiency and energy dissipation effect of the vibration damping device, leading to significant damage to bridges and traffic disruption.

The invention relates to an axle active control delay compensation method and system, and belongs to the technical field of bridge vibration control, and the axle active control delay compensation method comprises the steps: constructing an axle coupling dynamic model based on obtained axle mechanical parameters, and converting the axle coupling dynamic model to obtain a state-space equation; in consideration of control force delay, correcting the state-space equation, and discretizing the corrected state-space equation according to a set time step to obtain a discrete state-space equation; determining a performance index based on the discrete state space equation, and performing minimization processing on the performance index according to the Lagrange extremum theorem to obtain compensation control force; the optimal control force after delay compensation is obtained based on the compensation control force and the discrete state space equation, and the axle vibration control efficiency is improved.

The invention discloses a self-adaptive bridge section pneumatic shape adjusting device and a control method thereof, and belongs to the technical field of large-span bridge pneumatic control. The device comprises a wind regime monitoring module, a wind regime control module, a deformable pneumatic adjustment module and a power module, and dynamic self-adaptive adjustment of the pneumatic profile is achieved through cooperative work. The wind regime monitoring module collects wind field and bridge vibration data by using a three-dimensional ultrasonic anemometer and an accelerometer; the control module integrates FFT, TDNN algorithms and a pneumatic optimization agent model based on an ARM architecture, extracts characteristic parameters, identifies a vibration state and outputs an optimal control instruction; the deformable pneumatic adjusting module optimizes the streaming form through a guide plate (angle adjustment from-30 degrees to + 30 degrees) and a stabilizing plate (0-0.20 D lifting adjustment); the power supply module adopts solar energy and storage battery hybrid power supply to guarantee reliability. According to the control method, closed-loop control is achieved through data collection, processing analysis, adjustment execution and feedback iteration, wind-induced vibration is effectively restrained, and the wind-resistant safety and economical efficiency of the bridge are improved.

The invention discloses a bridge composite shock insulation and damping device, and relates to the technical field of bridge supports, the bridge composite shock insulation and damping device comprises a beam bottom pre-embedded steel plate, an upper support plate and a lower support plate, the upper support plate is located between the beam bottom pre-embedded steel plate and the lower support plate, and the top of the upper support plate is tightly attached to the bottom of the beam bottom pre-embedded steel plate; a sealing cylinder base is fixed to the upper surface of the lower support plate, a vertical cylinder body is fixed to the top of the sealing cylinder base, the vertical cylinder body is fixedly sleeved with a fixing plate, and a buffer spring is fixed to the upper surface of the fixing plate. Buffer springs are matched with the three shock isolation and vibration reduction assemblies to be used for transverse and longitudinal shock isolation and vibration reduction protection of a bridge, meanwhile, vibration of the bridge can cause the carrier plate to move downwards, and the carrier plate synchronously transmits vibration to the three shock isolation and vibration reduction assemblies through the linkage assembly; the three shock isolation and vibration reduction assemblies and the buffer springs are made to synchronously achieve shock isolation and vibration reduction operation on the bridge at the same time, time difference is avoided as much as possible, and the best shock isolation and vibration reduction effect of the bridge is achieved.

The invention discloses an analysis method for key local vibration of a fluid-structure interaction bridge based on a substructure method, and relates to the technical field of bridge vibration analysis, and the method comprises the following steps: dividing a response key region in a bridge structure into substructures, and carrying out static polycondensation to obtain a polycondensed substructure model; an integral bridge-wave coupling model is established, and a dynamic explicit solving strategy based on a coupling Euler-Lagrange method is adopted; independently solving the substructures by adopting a dynamic implicit method; and coupling the substructures into the overall model through an interface coordination condition, and carrying out joint calculation of the overall explicit model and the local implicit model. According to the analysis method, an explicit method is adopted to process the strong nonlinear fluid-solid coupling process on the overall level, a fine substructure model is established in a local area through Guyan static polycondensation, and the analysis precision is effectively improved.

The application provides a kind of road bridge displacement monitoring method and system based on Internet of Things, it is related to Internet of Things technical field, the original vibration data set is formed and encapsulated by obtaining the electrical vibration signal generated by road bridge, the data packet after encapsulation is obtained and integrity check is carried out, and the data packet after checking is obtained;According to the pre-stored bridge vibration measurement benchmark database, the noise reduction and time sequence alignment processing are carried out on the electrical vibration signal after checking in the data packet after checking, to generate vibration sequence, and then analyze displacement trend, obtain displacement trend data set and extract characteristic parameters, according to the characteristic parameters, extract the candidate displacement mode from the historical displacement record to generate pattern recognition result;The displacement change parameter of the result is compared with the vibration baseline range parameter list, to generate structure safety early warning instruction containing abnormal position and abnormal degree, to realize the real-time, accurate monitoring and abnormal early warning of road bridge displacement.

The application discloses a bridge structure damage rapid diagnosis method and system based on modal frequency identification, and particularly relates to the technical field of bridge structure health monitoring and damage identification, and is used for solving the diagnosis ambiguity and misjudgment risk caused by the signal aliasing of environmental fluctuation, material natural aging and damage of the existing method; the method is realized by collecting bridge vibration response signals and extracting at least two different order measured modal frequencies, decoupling and separating the environmental influence component based on the pre-established collaborative evolution mode, then performing long-term trend analysis on the frequency stripped of the environmental influence to separate the structure performance natural time-varying trend component and the potential damage trend component, analyzing the change characteristic difference between different order potential damage trend components, and finally realizing the identification and evaluation of the existence, possible area and development stage of the bridge structure damage.

The invention belongs to the technical field of bridge structure intelligent control, and particularly discloses a bridge vibration active control method and system based on multi-agent cooperation. Comprising the following steps: collecting real-time bridge vibration response data, performing quantitative separation and grading on a bridge vibration response, identifying a dominant mode under a current load, and positioning a part which contributes to vibration most; the bridge vibration response serves as a general target, and the requirement, the control amplitude and the aging requirement of each subtask are packaged into a standard task package; and the subtasks in the task list are specifically allocated by adopting an auction protocol, and the allocation needs to meet the following requirements: the capabilities of the mutually cooperative dampers meet task requirements, and the execution of the subtasks is controlled according to the dependency relationship among the subtasks to ensure that the tasks are completed according to a correct sequence. According to the invention, active, accurate, efficient and adaptive vibration control in a complex vibration coupling environment is realized, and the operation safety, durability and intelligent level of the structure are significantly improved.

The application discloses a bridge tunnel line shape and rigidity detection method and system based on an optical fiber sensing technology, relates to the technical field of bridge displacement monitoring, and comprises a fiber grating strain sensor, a fiber grating displacement sensor, a rigidity detection module, an acceleration sensor, an analog-digital conversion module, an amplification circuit module, a filter circuit module, a data processing module, a data transmission module, an interface module, a memory module, a display module, an alarm module, a clock module and a power module. The application realizes the functions of real-time monitoring of physical parameters such as bridge stress, bridge main bridge tower displacement, bridge vibration quantity, bridge vertical distance change quantity and displacement, data analysis and processing, bridge health state evaluation, bridge structure health early warning and the like by monitoring various parameters of the bridge in real time through a wireless sensor network, and effectively avoids various accidents.