1609results about "Elasticity measurement" patented technology

A structural-health-monitoring system is disclosed for real-time detection and autonomous maintenance of physical structures. The system includes a sensor network comprising at least one strain gauge and one tri-axial accelerometer mounted on the structure to generate real-time sensor signals. A perception module filters and normalizes the signals and extracts numerical features such as peak amplitude and dominant frequency. A digital-twin module maintains a finite-element model updated in response to the extracted features. A data-driven surrogate model predicts sensor behavior and refines itself using machine-learning techniques. An anomaly-detection module computes an anomaly score from model residuals or classifier outputs. Upon exceeding a threshold, a maintenance module initiates a maintenance action, including generating an inspection schedule or issuing a control signal to an autonomous inspection or repair device. A learning module continuously improves system performance using reinforcement learning based on historical outcomes. The system supports predictive diagnostics, robotic repair, and automated optimization for long-term structural integrity.

The invention discloses a bridge health prediction device based on a Beidou system and a monitoring analysis method, and relates to the field of bridge health monitoring. The method comprises the following steps: S1, deploying monitoring points at key structure nodes of a bridge, and collecting three-dimensional position information and multi-source data by using a Beidou system and a multi-type sensor; s2, constructing a time-varying displacement field and a continuous deformation tensor, fusing stress and strain to construct a structural fatigue factor, and introducing environmental disturbance to realize dynamic correction of the fatigue factor; s3, a health state function is constructed based on the stress response, the displacement gradient and the deformation tensor, a damage mapping function is constructed in combination with accumulated deformation and a historical threshold value, and a damage thermodynamic diagram is generated; and S4, finally fusing fatigue, health and damage indexes to evaluate bridge risks, and performing dynamic early warning. Through fusion of mechanical tensor features and environmental disturbance modeling, a multi-index linkage fatigue and damage assessment mechanism is constructed, and the precision, robustness and global perception ability of bridge health monitoring are improved.

The invention relates to the technical field of bumper detection, in particular to an automobile bumper detection method and system, and the system comprises a rigid test bench, a multi-point adjustable impact loading module, a bumper surface deformation monitoring module, and a control and processing module. The to-be-tested automobile bumper is fixed on the test bench according to a preset mode, and the plurality of sensors are arranged based on a preset position; carrying out dynamic and static balance test on the to-be-tested automobile bumper according to the received control instruction, and carrying out corresponding index calculation; on the basis of static and dynamic test indexes, a quantitative report is generated, whether the balance of the bumper structure reaches the standard or not is automatically judged, complex static supporting and dynamic impact working conditions possibly encountered by the bumper on a vehicle can be effectively simulated in an integrated process, the static stability of the overall structure and the coordination under power impact of the bumper can be quantitatively evaluated, and the reliability of the bumper structure is improved. Therefore, the structural safety performance of the bumper can be reflected more truly.

The invention discloses a bridge dynamic deflection and dynamic strain data fusion method, and belongs to a bridge structure health monitoring technology. According to the method, deflection measuring points and strain measuring points are deployed at the bottom of a bridge according to rectangular grids established in the longitudinal and transverse directions; and then taking the span trend of the bridge as a longitudinal direction, taking a bridge cross section perpendicular to the span trend of the bridge as a position reference of a data fusion point, and determining the data fusion point based on the bridge cross section to realize fusion and mutual conversion of the strain data and the deflection data. Through data fusion, the dynamic deflection sudden change and the dynamic strain hysteresis effect are effectively associated, the structure damage feature omission ratio is remarkably reduced, and meanwhile early warning of micro damage is supported.

The invention relates to the technical field of bridge engineering detection, in particular to a distributed optical fiber strain sensing detection system for a bridge engineering dynamic and static load test, and the system comprises a distributed optical fiber strain sensing module which is used for obtaining the strain information of different positions of a bridge; the dynamic and static load signal acquisition and conversion module is used for converting the strain signal into a strain electric signal suitable for transmission and processing; the temperature compensation module is used for carrying out temperature compensation on the strain signal according to the change of the collected environment temperature; the data processing and analyzing module is used for processing and analyzing the strain electric signal subjected to temperature compensation so as to obtain the strain distribution condition and related parameters of the bridge structure under the action of dynamic and static loads; and the monitoring and early warning module is used for monitoring the state of the bridge in real time according to the result obtained by the data processing and analyzing module and sending out an early warning signal when the strain of the bridge is abnormal. The problem that in the prior art, comprehensive, high-precision and real-time dynamic and static load strain monitoring cannot be carried out on bridge engineering is solved.

System and method for monitoring vehicular traffic on a bridge, including receiving digital data representing the response of the bridge to a traffic event, where the digital data has been collected during the traffic event, from displacement sensors and accelerometers mounted on the superstructure of the bridge, wherein the digital data from the displacement sensors embody bending responses of the bridge, the digital data from the accelerometers embody acceleration responses of the bridge, and the digital data from the sensor are synchronised in the same time space, providing a parametric model which uses modal parameters to simulate generalized boundary conditions and two-dimensional behaviour of the bridge; using the parametric model to process the digital data to solve for deformation of the bridge and characteristics of the vehicle traffic, and generating an output that describes the deformation of the bridge and characteristics of the vehicle traffic.

The invention provides a bridge fracture monitoring method and system based on distributed optical fibers, and relates to the technical field of bridge monitoring, and the method comprises the steps: firstly constructing a stress response association mapping table of the distributed optical fibers and a bridge structure, and recording the information of a layout position, a sensing range parameter, a response sensitivity curve and the like; then, dynamically adjusting the acquisition frequency based on the stress response association mapping table, generating a strain and environment association data set with an acquisition frequency identifier, performing environment interference stripping processing on the strain and environment association data set, and forming a space strain deviation feature set after environment correction; the spatial strain deviation feature set and a time dimension strain data change trend are subjected to correlation modeling, a response sensitivity curve is combined to generate a space-time strain evolution feature with a sensitivity weight, an abnormal evolution section is marked through a multi-fiber cooperative verification mechanism, and a bridge fracture monitoring result containing a verification result is generated. Therefore, the bridge fracture condition can be accurately and comprehensively monitored.

The invention relates to the technical field of spring measurement, and discloses a spring fatigue life test system and a dynamic balance evaluation method, and the system comprises a reference length acquisition module, a dynamic balance state determination module, a working condition spectrum loading module, a stress-strain response data acquisition module, a damage feature extraction module and a life evaluation module. Acquiring a reference length in a free state; step increasing preload is applied, and when it is detected that the deformation rate of the to-be-detected spring is smaller than a set threshold value, it is judged that the to-be-detected spring reaches a dynamic balance state; in a dynamic balance state, loading the to-be-tested spring based on the variable amplitude load time sequence signal, and synchronously acquiring stress-strain response data; identifying the stress characteristics of the to-be-tested spring in the load period; generating a life evaluation report based on the stress characteristics; the accuracy of the fatigue life of the spring can be improved.

The invention provides a bridge health state monitoring method, electronic equipment and a computer storage medium, and relates to the technical field of bridge health monitoring. The method comprises the following steps: acquiring a first vibration signal of a target bridge in a self-vibration mode, and determining a first health state of the target bridge according to the first vibration signal; acquiring a second vibration signal of the target bridge in the passive vibration mode, and determining a second health state of the target bridge according to the second vibration signal; and determining a final health state of the target bridge according to the first health state and the second health state. According to the method, two health states in a self-vibration mode and a passive vibration mode are fused, bridge health is detected from different dimensions, full-dimension coverage is realized, the misjudgment probability is effectively reduced, accurate diagnosis of the bridge health state can be realized, and dependence on professionals is reduced.

The invention provides a building structure deformation measurement method, system and device, and relates to the technical field of building structure deformation measurement. The measuring method comprises the following steps: acquiring a laser point physical coordinate, an included angle between a laser emission direction and a world coordinate system and a building image; after the building image is preprocessed, laser point pixel coordinates are extracted; after the relative coordinates of the object surface laser points are calculated, solving a homography transformation matrix, carrying out perspective correction on the building image to obtain an orthographic projection image, and solving a conversion coefficient between pixels and an actual distance; inputting the preprocessed building image into a pre-trained semantic segmentation model to obtain a beam body segmentation mask and a beam body edge curve; and the actual span of the beam body is obtained through conversion of the conversion coefficient. According to the scheme, three-dimensional movement is achieved through the electric driving platform, the positioning position of the laser point can be adjusted according to the size and position of the building structure, buildings of different heights and angles are adapted, and the limitation that only building structures of specific types or sizes can be measured in the prior art is solved.

The invention discloses a simple layout method for distributed optical fiber deflection monitoring of a continuous beam bridge cluster, and the method comprises the steps: laying upper and lower edge strain sensing optical cables on a boundary beam of the continuous beam bridge cluster, only laying the lower edge strain sensing optical cable on a middle beam, and obtaining the deflection of the boundary beam through the upper and lower edge strain monitoring data of the boundary beam; and reconstructing the upper edge strain data of the middle beam by utilizing the upper edge strain data of the boundary beam, and realizing the accurate reconstruction of the deflection of the middle beam by combining the lower edge strain monitoring data of the middle beam through a continuous beam bridge deflection reconstruction method based on data-physical hybrid driving. The method not only solves the problems of large sensor consumption, complex arrangement, high construction cost, poor cluster monitoring economy and the like caused by simultaneous arrangement of optical fibers on the upper edge and the lower edge of each beam in the prior art, but also solves the problems of difficulty in arrangement of sensors and large construction damage caused by bridge deck pavement coverage on the upper edge of the middle beam; and the robustness and the data reconstruction capability of the monitoring system are effectively improved.

A sensor device (3) for detecting strains in a linear infrastructure component (12), in particular a track rail, comprises a first sensor unit (16, 16') with a first support (28) and at least one strain sensor mounted on the first support (28) for detecting a strain at the first measuring point (19), a second sensor unit (17) with a second support (29) and at least one strain sensor mounted on the second support (29) for detecting a strain at the second measuring point (20), a coupling means (18) connected to the first support (28) and the second support (29) for defining a measuring distance (d) between the first measuring point (19) and the second measuring point (20) along a longitudinal direction (21) of the linear infrastructure component (12), a measuring arrangement (19) with the sensor device (3), a method, and an application device for applying the sensor device (3).

The invention belongs to the technical field of rotor craft flutter tests, and discloses a rotor craft spiral flutter ground test system and test method. The rotor craft spiral flutter ground test system comprises a hardware part and a software part, and the hardware part comprises a rotor test piece, a support system, a force loading device, a vibration signal sensor, a force sensor, a vibration signal acquisition card, an industrial control computer, a force signal output card, a power amplifier and a force sensor signal acquisition card. The software part of the rotor craft spiral flutter ground test system comprises a rotor force and torque calculation program and a multi-input multi-output force control program which are operated on an industrial control computer. The method can retain all dynamic characteristics of the aircraft structure, is not limited by the size of a wind tunnel test section, does not need to perform scaling similarity on the aircraft structure, is low in cost and short in period, and can quickly deploy and complete a ground test.

An electro-optical device capable of identifying a target in the time series of the images so as to measure motion of a civil structure, such as a bridge, in response to forces (such as the weight of a vehicle traversing the bridge).

The invention relates to a spring testing device. The spring testing device comprises a shell, a mounting seat, a clamping assembly, a guide mechanism, a movable mechanism and a detection assembly, wherein the mounting seat is fixedly arranged in the shell. The number of the clamping assemblies is multiple, the multiple clamping assemblies are movably connected with the mounting base, and the clamping assemblies are used for clamping one end of a to-be-tested spring. And the guide mechanism is arranged in the shell. The movable mechanism is arranged in the shell and movably connected with the guide mechanism, the movable mechanism can be close to or far away from the mounting seat under the guide of the guide mechanism, and the movable mechanism is used for being connected with one end, far away from the mounting seat, of the to-be-tested spring. The detection assembly is arranged in the housing and is used for detecting the telescoping frequency, the telescoping amount and the stress condition of the to-be-detected spring. The position of the clamping assembly can be adjusted according to the size of the to-be-tested spring so as to clamp and fix the springs of different sizes, the springs are prevented from moving along with the movable mechanism in the stretching process, and the device can adapt to the to-be-tested springs of different sizes.

The invention discloses a method for dynamically determining an early warning threshold value of a bridge structure monitoring system, and belongs to the technical field of bridge structure monitoring. According to the method, the temperature and structural response data of a bridge are obtained, the structural response data are deflection data or strain data, and the obtained data are divided into the structural response data affected by moving loads and the structural response data only affected by the temperature and not affected by the moving loads; fitting the relationship between the temperature and the strain by using the data only influenced by the temperature, and determining a temperature response baseline according to the real-time temperature and the relationship; according to the data influenced by the moving load, an extreme event responded by the moving load is determined by using generalized Pareto distribution, a current dynamic early warning upper bound value and a current dynamic early warning lower bound value are determined in combination with a temperature response baseline, and early warning is carried out on the bridge state according to the dynamic early warning upper bound value and the dynamic early warning lower bound value. Through the design of multi-factor early warning and a dynamic early warning threshold value, the problem that an existing early warning system is inaccurate in early warning is solved.

The invention relates to the technical field of sensors, and provides a trestle stress monitoring method and system based on a mechanical sensor. The method comprises the steps of obtaining trestle stress monitoring flow through a stress monitoring network, performing health risk prediction, and constructing a multi-node trestle risk curve; constructing a monitoring deployment diagram of each trestle area according to the stress monitoring network, performing reliability evaluation, and establishing a reliability evaluation space; on the basis of the space, optimization guide feature analysis is carried out on the stress monitoring network according to constraints, and optimization guide features are generated; performing deployment adjustment on the stress monitoring network according to the characteristics to obtain an adjustment space; and performing optimization analysis according to the adjustment space, generating a stress monitoring deployment optimization strategy, and performing optimization adjustment. The technical problems that the monitoring result is inaccurate and the health condition of the trestle cannot be reflected in real time due to insufficient deployment optimization of the mechanical sensor in trestle stress monitoring are solved, and the technical effect of improving the reliability and accuracy of monitoring deployment of each area of the trestle is achieved.

A bridge in-service geometric form recognition method based on multi-point cloud fusion comprises: defining a bridge in-service geometric form; obtaining multi-point cloud data of a bridge girder in different service periods under the condition of not stopping traffic; converting bridge three-dimensional point cloud data obtained by multiple times of scanning to a same coordinate system; fusing the point cloud data obtained by multiple times of scanning using a regional point cloud fitting algorithm to obtain a continuous and smooth theoretical girder point cloud reflecting a true spatial form of a bridge; and extracting three-dimensional coordinates of all points at any target transverse position in the theoretical girder point cloud in a span extension direction to obtain the bridge in-service geometric form.

The invention discloses a comprehensive performance evaluation method for a bridge structure, and belongs to the technical field of bridge engineering, and the method comprises the steps: obtaining time domain data of deflection and displacement, and frequency domain data of cable force and vibration according to dynamic monitoring data; rejecting the temperature effect by adopting a linear regression model to obtain corrected time domain and frequency domain data; applying a Weibull extreme value distribution model to perform fitting analysis, extracting a dead load effect, and obtaining a structural response data set caused by dead load; calculating a score value and an allocation weight of a single position index on the bridge, calculating a uniform coefficient, and calculating a non-uniform coefficient based on the structural response data set; and multiplying the uniform coefficient by the non-uniform coefficient to obtain a comprehensive score of the monitoring index, and comparing the comprehensive score with a preset standard interval to obtain a performance evaluation result. According to the method, the temperature effect can be systematically eliminated, the dead load effect is extracted, and comprehensive and accurate evaluation of the health state of the bridge structure is realized by combining scoring and a weight distribution mechanism.

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 application discloses a gear time-varying meshing stiffness measurement method, which comprises the following steps: S1, a measurement model between current and time-varying meshing stiffness is established based on Hertz contact theory and Ishikawa formula; S2, a closed circuit is formed by connecting a driving gear, a driven gear and a power supply in series, and time-varying current of the circuit is measured; and S3, the time-varying current measured in S2 is substituted into the measurement model to obtain time-varying meshing stiffness of the gear. The application improves the measurement precision and efficiency of the gear time-varying meshing stiffness.

The present disclosure provides a conveying device, a fan blade scanning system and a fan blade scanning method. The conveying device comprises a driving transmission device and a driven transmission device. The driving transmission device comprises a main driving member and a main vehicle body member. The main vehicle body member comprises a carrier component and a micro-motion component. The carrier component is connected with the main driving member, so that the main driving member drives the carrier component to move at a first set speed. The micro-motion component is movably arranged on the carrier component. A first end of a fan blade is adapted to be fixedly installed on the micro-motion component, and a second end of the fan blade is adapted to be fixedly installed on the driven transmission device. When the carrier component stops moving, the micro-motion component drives the fan blade and the driven transmission device to move at a second set speed. The conveying device facilitates different specifications of fan blades to smoothly pass through the scanning area of the scanning device. Meanwhile, the conveying device of the present disclosure has the advantages of simple structure, flexible and convenient use, low cost and low maintenance cost.

The utility model discloses a workpiece service life test equipment, including the shell, the shell is separately provided with two and opposite independent equipment cabin and test cabin that distribute upside down in the inside, the equipment cabin one side inner wall is fixedly installed with hydraulic cylinder, the hydraulic cylinder piston rod one end extends to test cabin through the through -hole and is connected fixedly with the lifting plate, the lifting plate bottom surface and test cabin bottom inner wall all are provided with the multidirectional adjustment connecting assembly, and every multidirectional adjustment connecting assembly includes horizontal position adjusting mechanism and adjustable connecting mechanism, through setting multidirectional adjustment connecting assembly, can realize the flexible adjustment of the relative position of spring etc. two ends of cylindrical elastic workpiece, thereby simulating the compression extension fatigue test when the torsion of spring two ends misplacement occurs. This makes the test process closer to the stress state in the actual work of spring, effectively improves the accuracy of test result, and provides more reliable data support for workpiece design and quality evaluation.

The invention relates to a rigidity measuring method for a servo joint of a robot, which comprises the following steps of: establishing a measuring coordinate system, carrying out coincidence calibration on a base coordinate system of the robot and a world coordinate system, and initializing the pose of the robot; target ball arrangement and non-load reference point acquisition are carried out, a target ball is rigidly bonded to a connecting rod close to a joint shaft to be detected, and target ball coordinate points in a non-load state are acquired and fitted to obtain a related reference; graded tail end load application and six-dimensional force synchronous acquisition are carried out, loading is carried out step by step according to incremental loads, and six-dimensional force data are recorded; robot joint torque is calculated, a kinematic model is called to obtain a force Jacobian matrix, and joint torque increment is calculated; then target ball displacement is collected under the load, and joint deformation is calculated; fitting the joint basic stiffness k through linear regression, evaluating a fitting effect by using a decision coefficient, and outputting the joint basic stiffness. The method can accurately measure the rigidity of the servo joint of the robot, and provides a reliable basis for evaluating the performance of the robot.

The present invention belongs to the technical field of bridge protection. In order to solve the problem of how to protect bridge piers from flow-induced vibration (FIV), the present invention provides a method and system for monitoring the bridge piers based on digital twin and a FIV protection device, comprising: an annular steel board and multiple polyurethane boards, an inner wall of the annular steel board is fixedly connected to a structure to be protected, hydraulic devices and multiple energy-dissipation springs are arranged between an outer wall of the annular steel board and the polyurethane boards, and the polyurethane boards are spaced apart. The present invention may reduce or even eliminate the FIV caused by seawater or rivers to the structure to be protected, thereby slowing down the fatigue damage caused by FIV to the structure to be protected.

The invention discloses a bridge dynamic deflection monitoring method and system based on a 4D millimeter wave radar, and the method comprises the steps: actively detecting the precise distance between a target object at a specific position of a bridge and the device through 4D millimeter wave radar equipment, and building a coordinate system through the combination of a spatial position and the positions of a plurality of radar equipment in a radar system; according to the method, the spatial position coordinates of a target object are measured and solved, the spatial position coordinates of the target object in a set time period are measured, so that offset degree data of a specific position in the set time period are calculated, and continuous and stable dynamic deflection data recording of the specific position in the set time period is completed through fitting of a data curve. The defects of high construction complexity, high difficulty in long-time monitoring and difficulty in long-distance monitoring in a traditional bridge detection mode are overcome.

The invention relates to the technical field of big data processing bridge health monitoring, in particular to a distributed bridge disease data summarization bridge health monitoring method and system, and the method comprises the steps: obtaining vibration data and steel beam stress data of a bridge at a plurality of positions, and wind speed data near the bridge; obtaining the validity coefficient of each modal component of the vibration data to extract the de-noised vibration data in each time period of the current position, calculating the significant value of the dominant frequency down-shift characteristic of the de-noised vibration data in each time period of the current position, and further obtaining the abnormal coefficient of the bridge floor vibration in each time period of the current position; and obtaining the abnormal coefficient of the bridge deck steel beam stress at the current position in each time period by combining the random fluctuation degree of the de-noised steel beam stress data in each time period, and obtaining the significant value of the bridge load influence by combining the average distribution level of the wind speed data for monitoring the health state of the bridge. The bridge health monitoring precision can be improved.

The present invention relates to the technical field of road engineering, and provides a deflection basin parameter determination method and apparatus, a road testing device, a medium and a product. The method comprises: by means of a ground penetrating radar, acquiring a real-time deflection basin evaluation index value of any point in a road segment to be tested; and inputting the real-time deflection basin evaluation index value into a deflection basin parameter prediction model, to obtain a predicted deflection basin parameter value, wherein the deflection basin parameter prediction model is obtained by performing training on the basis of at least one deflection basin parameter value and a deflection basin evaluation index value which correspond to a reference point in a reference road segment, the at least one deflection basin parameter value is determined by means of a falling weight deflectometer, and the deflection basin evaluation index value is determined by the ground penetrating radar. In the present invention, a deflection basin parameter can be predicted simply by obtaining a real-time deflection basin evaluation index value by a ground penetrating radar, thereby improving the efficiency of deflection basin parameter determination.

The invention discloses a bridge health monitoring method based on digital twinning, and belongs to the field of engineering safety. Comprising the following steps: monitoring real-time vibration data of one or more preset positions on a bridge; real-time dynamic load data and environment parameters of the bridge are obtained, the dynamic load data comprise the weight, the speed and the position of the vehicle, and the environment parameters comprise the temperature, the wind speed and the humidity; inputting the dynamic load data and the environmental parameters into a bridge digital twin model, and outputting predicted vibration data of a preset position; and generating a damage index based on the residual error of the real-time vibration data and the predicted vibration data, and judging whether the bridge has local damage based on the damage index. The method can achieve the precise recognition and positioning of the local damage of the bridge structure.