3081 results about "Strain gauge" 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 bolt on-line monitoring method and system, and the method comprises the steps: generating a micro-motion feature matrix of a bolt according to a multi-dimensional vibration signal and a stress wave propagation characteristic of a bolt connection part; based on the micro-motion characteristic matrix, fusing local stress distribution data acquired by a bolt surface strain gauge, and outputting a health state quantitative index of the bolt; outputting a loosening risk level according to the health state quantitative index and historical loosening evolution data; and based on the looseness risk level and in combination with equipment operation state parameters, a self-adaptive decision tree model is adopted to dynamically adjust monitoring frequency and an alarm threshold value, a real-time monitoring strategy and a visual early warning report are generated, and a wireless transmission module is synchronously triggered to upload the real-time monitoring strategy and the visual early warning report to a cloud operation and maintenance platform. According to the embodiment of the invention, high-precision, self-adaptive and traceable bolt health state evaluation and early warning can be realized.

The invention relates to a grid steel structure node failure diffusion prediction method, which comprises the following steps of: forming a failure inducement and evolution path model according to a connection form of a bolt-sphere node and a welding node, a stress transfer path, node local yield and fatigue accumulation factors; a diffusion logic of node failure-force flow redistribution-adjacent node stress concentration-chain reaction is constructed; nodes are regarded as middle points of the graph, rod pieces are regarded as edges, and propagation weights between the nodes are defined; the weight parameters are dynamically assigned based on material attributes, node connection types, spatial geometric positions and historical stress states; multi-source monitoring sensors including strain gauges, displacement meters, thermometers and accelerometers are arranged at key nodes of the grid structure, so that node states are sensed; in combination with real-time monitoring data, extracting strain rate change, vibration characteristics, frequency drift and residual deformation key characteristics of each node; a node health state feature vector set is constructed by using time sequence analysis, and the gradual degradation trend of nodes is reflected.

The invention relates to the technical field of field data acquisition, in particular to an on-line temperature self-compensation calibration method and circuit for a force measurement transmitter. The calibration method comprises the steps that a working strain gauge and a temperature compensation gauge are synchronously excited through a two-way precision constant current source, the working strain gauge and the temperature compensation gauge are consistent in material parameter and are located in the same temperature field, and output current values of the two-way precision constant current source are equal and are controlled by a high-precision reference voltage source and a sampling resistor in a closed-loop mode. According to the invention, differential signals of the working strain gauge and the temperature compensation gauge are decoupled in real time through double-path precise constant-current source excitation and synchronous ADC acquisition technologies, gradient compensation is carried out on the temperature change rate in combination with a dynamic weighting algorithm, a lag error of traditional fixed coefficient compensation in a transient temperature field is effectively eliminated, and the accuracy of temperature compensation is improved. And online self-compensation of the temperature drift of the strain gauge is realized.

The invention belongs to the technical field of underground engineering, and discloses an omnibearing intelligent monitoring system, method and device for an underground anchoring pull-out test. According to the method, electromagnetic signals generated in the stress process of the anchor rod are captured in real time through an electromagnetic sensor, and internal stress changes and energy distribution are reflected; the deformation and stress states of the anchor rod in the dynamic environment are evaluated through a strain gauge and accelerometer combined data combination method, the deformation condition of the anchor rod is monitored through the strain gauge, and the stress-strain relation is recorded; an accelerometer is used for detecting the dynamic response of surrounding rock mass so as to evaluate the overall stability of the rock mass; a coupling medium is injected, the computer terminal stores the collected signals locally or in a cloud end and analyzes the signals, stress and deformation parameters in an anchor rod pull-out test are extracted, and an anchor rod stress cloud picture is generated in real time. According to the method, the safety and reliability of underground engineering are remarkably improved, and a new technical support is provided for evaluation of anchoring quality.

Disclosed in the present invention is a stepped elastic beam for a six-axis force sensor. The stepped elastic beam comprises a central platform, a stepped main beam, a floating beam, rims, and strain gauges, wherein the central platform is connected to the floating beam on the outer side by means of the stepped main beam, and the rims at four corners are connected to the floating beam; 24 strain gauges are pasted to the stepped main beam to form six sets of Wheatstone bridges; and when the force / torque of a certain dimension acts on the center of the stepped elastic beam, the sensor deforms, and the resistance value of the strain gauge at a corresponding position is changed, such that an output voltage of a corresponding bridge is changed, and the numerical value of the force / torque of the dimension can be obtained by measuring the change of the voltage. A structure is simple, the sensitivity is high, and the inter-dimensional coupling is low.

The invention relates to the technical field of mechanical performance testing of power transformer winding materials, in particular to a method for evaluating the mechanical strength of a transformer winding under a reclosing working condition, and the method comprises the steps: obtaining and preprocessing historical operation data, finite element simulation data and laboratory simulation test data; deploying a micro foil strain gauge, an MEMS acceleration sensor and a flexible piezoresistive sensor based on the preprocessed data, and synchronously collecting radial strain, axial acceleration and cushion block pressure data; after noise filtering, time alignment and feature extraction, multi-directional deformation cooperative influence is analyzed through methods of Pearson's correlation coefficients, partial least square regression and the like; and in combination with a historical damage sample training evaluation model, outputting a mechanical strength degradation level in real time. According to the method, the problems of synchronous acquisition and correlation analysis of multi-direction deformation data under reclosing impact are solved, and accurate evaluation of overall mechanical strength change caused by accumulated deformation is realized.

The invention discloses a large workpiece strain measuring point auxiliary positioning system and method, and the system comprises a professional software and automatic control system, and an industrial photogrammetry system, a car lifting system, a laser projection system and a three-dimensional scanning quantitative analysis system which are connected with the professional software and automatic control system. And a positioning target is arranged on the surface of the large workpiece product. According to the system, strain contact auxiliary lineation and laser guide assembly work of a large workpiece and quantitative analysis work of strain gauge pasting are achieved, the system takes a target arranged on a product as a positioning reference, the outline of a product model is extracted in a photogrammetry mode, the product model and a real object are matched and unified to the same coordinate system, and the product model and the real object are obtained. The position contour of the strain gauge needing to be pasted and auxiliary information are projected to the surface of a product through the laser projection technology, the current pasting position information can be efficiently and accurately reflected, and high-efficiency and high-precision assembly of the strain gauge is facilitated.

A temperature-rainfall-reservoir water combined testing system for a permafrost landslide model includes a tempered glass case with a permafrost landslide model and reservoir water provided therein; a temperature control system provided on the tempered glass case and including an incubator temperature control module, a landslide mass rear edge water tank temperature control module and an air circulation temperature control module; a seepage control system configured to realize seepage of the permafrost landslide model, and form the reservoir water in front of a landslide mass; a rainfall control system including a water tube, a flow controller and a nozzle, where the nozzle is provided in the tempered glass case, and located above the permafrost landslide model; and a multi-field monitoring system including a temperature sensor, a pore water pressure gauge, a moisture meter and a grating strain gauge that are provided in the permafrost landslide model.

The invention discloses a conveying device for powder bowl filling and a metering and weighing system of the conveying device. The conveying device comprises an equipment frame, a feeding mechanism, a scattering mechanism and a controller, wherein the feeding mechanism, the scattering mechanism and the controller are installed on the equipment frame. The metering and weighing system comprises a data acquisition module, a metering optimization module and a dynamic compensation module; and the metering optimization module is used for adjusting filter parameters in real time according to the state information of the device and the change of the measurement noise by adopting a self-adaptive Kalman filtering algorithm, and carrying out optimization processing on the measurement data. Through the synergistic effect of the weighing sensor and the valve control mechanism, the weighing sensor adopts a measurement mode of combining a strain gauge type weighing sensor and a piezoresistive weighing sensor, and the self-adaptive Kalman filtering algorithm is used for optimizing measurement data, so that the material metering accuracy is ensured, and the material metering precision is improved. And the uniformity and consistency of material conveying are ensured, so that the product quality and the production efficiency are improved.

A strain gauge includes a flexible substrate; a resistor made from a film containing Cr, CrN, and Cr2N, on one surface of the substrate; and a resin barrier layer covering the resistor, and, in this strain gauge, in the barrier layer, a ratio of a moisture permeability (g / m2 / 24h) to a thickness (mm) is 5:1 or greater, and the thickness of the barrier layer is 100 μm or more and 3 mm or less.

The invention discloses an anchor rod type mine laneway surrounding rock stress monitoring system, which comprises a hollow anchor rod, a high-precision strain rosette, a strain collector, a gateway, fault prediction and health management software and a server, and is characterized in that the rod body of the hollow anchor rod is of a hollow structure, the high-precision strain rosette is fixed in the hollow rod body, and the strain collector is fixed in the hollow rod body; the strain collector communicates with the gateway through an RS485 bus, the gateway communicates with the fault prediction and health management software and the server in an optical fiber mode, a hollow anchor rod supporting product which is most commonly used at present is utilized in the scheme, the high-precision resistance type strain gauge is arranged in the hollow anchor rod supporting product, the installation form is consistent with that of an anchor rod, and the high-precision resistance type strain gauge can penetrate into a rock stratum; the distributed roadway surrounding rock stress monitoring system is formed, the mine roadway surrounding rock stress change condition can be accurately and comprehensively monitored and pre-warned in real time, different pre-warning signals are sent out in advance, maintenance workers are supervised and urged to take reinforcement measures or evacuate in time, and therefore collapse accidents are avoided.

The invention discloses an operation state and characterization state parameter method of a GIS isolation switch, and relates to the field of GIS isolation switch operation. Multi-source heterogeneous sensors including vibration, temperature, strain gauges, fiber bragg gratings, acoustic cameras and the like are deployed at key parts, and data are collected in a self-adaptive mode according to working conditions; processing data by using a deep learning noise reduction auto-encoder, adaptive weighted fusion and DBSCAN; deeply mining features by using empirical wavelet transform, a heat conduction model and the like; constructing a composite state parameter by means of a deep belief network and principal component analysis in combination with particle swarm optimization; the state is evaluated through a convolutional neural network of transfer learning, LSTM prediction and early warning are carried out, and a fault tree and a Bayesian network are combined to locate a fault. According to the invention, data is comprehensively collected, intelligent processing and deep mining are carried out, scientific state parameters are constructed, and accurate state evaluation and early warning are realized in combination with transfer learning; the adaptability is improved through self-learning and multi-modal fusion, the operation and maintenance efficiency is improved through a VR / AR visual platform, the risk of the power system is reduced, and benefits are remarkable.

The invention relates to the technical field of engineering structure monitoring, in particular to a structure health monitoring method based on a distributed strain dynamic test. According to the technical scheme, the method comprises the steps of arrangement of a composite sensor array, acquisition of strain data, self-adaptive data transmission, operation of a data processing and analysis center and operation of a man-machine interaction interface, and the composite sensor array composed of multiple types of distributed strain sensors is arranged at an engineering structure part. The strain sensors comprise a fiber bragg grating strain sensor, a resistance strain gauge and a piezoelectric film strain sensor. According to the invention, various types of distributed strain sensors are adopted to form a composite sensor array, and comprehensive, real-time and accurate health monitoring and damage prediction of an engineering structure are realized in combination with a self-adaptive data transmission network and an advanced data processing and analysis technology; and more effective technical support is provided for safety guarantee of civil engineering structures.

The invention provides a special-shaped air film hole thermal mechanical fatigue simulation part design method, which comprises the following steps of: 1, analyzing the strength and the service life of a turbine blade, and identifying a key part of the service life of a special-shaped air film hole; 2, determining that the thermal mechanical fatigue simulation piece is of a hollow structure; 3, parameters of a clamping part of the hollow simulation piece are stipulated; 4, determining the mechanical stress of the key part through three-dimensional finite element simulation of the turbine blade; 5, verifying the included angle between the principal stress direction and the growth direction of the key part of the simulation part; step 6, measuring stress by using a strain gauge under a normal-temperature initial mechanical load, and verifying whether the load is compliant or not; 7, performing three-dimensional finite element simulation analysis on the temperature field of the test piece and calculating thermal stress; 8, controlling the thermal stress distribution of the section of the simulation piece by controlling the temperature distribution; step 9, when cooling gas is introduced into the inner cavity of the special-shaped gas film hole simulation piece, carrying out a thermal mechanical fatigue test by adopting an in-phase mechanical-temperature load; and step 10, optimizing the structure of the special-shaped gas film hole and analyzing the strength.

The invention discloses a miniature six-dimensional force sensor for a humanoid robot. The miniature six-dimensional force sensor comprises an elastic body which is integrally disc-shaped, and an upper cover plate and a lower cover plate which are arranged at the upper end and the lower end of the elastic body; the elastic body comprises an elastic body hub, a stress table and four strain beams, and the cross section of each strain beam is rectangular; the stress table is hollow and is arranged at the central position of the elastomer hub, the four strain beams are uniformly distributed between the stress table and the elastomer hub, one end of each strain beam is connected with the elastomer hub, and the other end of each strain beam is connected with the stress table; the elastomer hub is provided with a cable outlet. A plurality of strain gauges are adhered to the four strain beams to form six Wheatstone bridges for respectively measuring forces and moments in six directions of Fx, Fy, Fz, Tx, Ty and Tz. The miniature six-dimensional force sensor has the advantages that the thickness of the sensor is very small, the thickness is only 9.2 mm, the diameter is 45 mm, and the miniature six-dimensional force sensor is suitable for the humanoid robot industry.

The invention is suitable for the technical field of sensors, and provides a multi-dimensional force sensor which comprises an outer body frame, an inner bearing platform, a strain beam and a strain gauge. A containing hole is formed in the outer body frame, the inner bearing platform is arranged in the containing hole, and a gap is kept between the outer body frame and the inner bearing platform. The strain beams are arranged in the intervals and connected between the outer body frame and the inner bearing platform. The side edges of the strain beams extend linearly, and the number of the strain beams is three. The strain gauges are respectively attached to the first patch surface and the second patch surface of at least one strain beam, and the total number of the strain gauges attached to all the first patch surfaces and the total number of the strain gauges attached to all the second patch surfaces are not less than six, so that the number of the strain gauges is increased, and the detection precision is improved. And meanwhile, the strain gauges on the same strain beam are concentrated on the upper patch surface and the lower patch surface, so that the convenience and the efficiency of pasting the strain gauges are improved.

Disclosed in the present invention are high-rise pile cap equipment under a horizontal load and a centrifuge test method for foundation bearing characteristics thereof. The equipment comprises a model box, a sand layer, a model pile cap, at least eight model piles, a horizontal loading device, at least two laser displacement sensors, an axial force sensor, and a plurality of strain gauges. The method comprises: S1, performing one-way horizontal loading on high-rise pile cap equipment under a horizontal load to obtain an ultimate foundation bearing capacity situation, a model pile body axial force distribution situation, a pile foundation axial force comparison situation, a model pile body bending moment distribution situation, and a model pile body bending moment comparison situation of the equipment; and S2, performing one-way variable amplitude cyclic loading on the high-rise pile cap equipment under the horizontal load to obtain a foundation displacement situation, an effect of the number of cycles on foundation stiffness, an effect of a cyclic load amplitude on the foundation stiffness, and a foundation inclination situation. In this way, the foundation design of the high-rise pile cap can be optimized, and a basis and a reference for evaluating safety of foundation long-term service are provided.

The invention discloses a bridge service intelligent evaluation and early warning method and system based on dynamic and static load-multi-modal data fusion, and the method comprises the steps: S1, installing a vibration acceleration sensor and a strain gauge at a bridge control part, and collecting data; locally preprocessing data by adopting an edge computing framework, extracting feature values, encrypting and transmitting the feature values to a cloud; identifying and collecting diseases, and combining a deep learning network model to realize pixel-level crack segmentation; s2, establishing a space-time-measuring point-disease three-dimensional correlation model; s3, a three-level early warning threshold system is set, different early warning levels have different requirements for vibration amplitude and crack length indexes, and when a monitoring index exceeds a threshold value, early warning information is pushed to a terminal in real time through 5G; S4, a decision engine is constructed based on a Q-Learning algorithm or a deep reinforcement learning model, early warning levels, residual life and maintenance cost parameters are input, and the early warning level, the residual life and the maintenance cost parameters are calculated. And outputting the optimal maintenance scheme.

The invention relates to the technical field of drill rod vibration reduction, in particular to a drill rod vibration reduction device based on a bent beam semi-active nonlinear energy trap. The drill rod damping device based on the semi-active NES is suitable for deep hole machining and good in damping efficiency and comprises a connecting base, a mounting plate and NES components, and each NES component comprises a U-shaped auxiliary beam, an elastic main beam, a flexible hinge and a PID controller. Each U-shaped auxiliary beam is clamped in the corresponding annular groove, one end of each elastic main beam is fixed to the middle of a middle beam of the corresponding U-shaped auxiliary beam, the other end of each elastic main beam is fixed to the middle of the other side face of the flexible frame in the width direction, each U-shaped auxiliary beam is provided with a strain gauge, and the input end of the PID controller receives the multiple strain gauges. And the output end of the PID controller controls the plurality of piezoelectric ceramic stacks. The device is obvious in vibration suppression effect and suitable for drilling machining.

The invention relates to the technical field of transformer substations, and particularly discloses a transformer substation channel cover plate data acquisition and intelligent analysis management system and method, and the method comprises the steps: collecting cover plate vibration data and strain data through an acceleration sensor and a resistive strain gauge; vibration direction change, vibration attenuation and cover plate deformation springback time are extracted from acceleration data, the maximum amplitude, the change rate and the strain gradient are extracted from strain data, and the stress deformation characteristics of the cover plate are comprehensively represented; based on the stress deformation and springback characteristics of the cover plate, a damage evaluation model is established by adopting a neural network model, and intelligent judgment of the damage degree of the cover plate is realized; predicting a damage change trend by using a neural network, and calculating a cover plate damage acceleration trend; and according to the damage evaluation result and the damage acceleration trend, calculating the remaining to-be-maintained time of the cover plate, and automatically triggering operation and maintenance early warning when the remaining to-be-maintained time is lower than an early warning threshold value. According to the method, intelligent monitoring, prediction and active operation and maintenance management of the health state of the cover plate can be realized.

The invention discloses an intelligent and safe hoisting monitoring method for a large-tonnage I-beam, relates to the field of construction safety, is based on a monitoring system consisting of a sensing layer, a transmission layer, a data layer, a decision layer and an execution layer, and comprises the following steps: deploying the sensing layer, constructing the transmission layer, configuring the data layer, constructing the decision layer and responding to the execution layer. Structural stress is monitored through a high-precision strain gauge and a distributed optical fiber sensor, the posture is monitored through an MEMS tilt angle sensor and a six-axis gyroscope, the state of the lifting appliance is monitored through a tension sensor and a visual recognition sensor, the environment is monitored through an ultrasonic anemograph and a laser radar, and multi-dimensional data collection is conducted through a displacement sensor monitoring device. Full-scene monitoring of the state of the I-shaped beam, the performance of a lifting appliance, the working environment and crane equipment is achieved, potential risks are captured without dead corners, the accuracy and reliability of data under complex working conditions are ensured, the problems that traditional monitoring data are prone to being interfered by the environment and insufficient in precision are solved, and the safety coefficient is increased.

The invention discloses an exoskeleton attitude prediction system for building construction, particularly relates to the field of attitude prediction, and comprises a multi-dimensional sensing module, a data preprocessing module, an attitude prediction model module and a control decision module. A multi-dimensional sensing module collects joint movement, muscle movement and human-computer interaction force data through a nine-axis IMU, a surface myoelectricity sensor and a miniature strain type force sensor; the preprocessing module obtains standardized feature data through filtering, standardization and exception elimination; the attitude prediction model uses a CNN-LSTM hybrid architecture, and outputs a target attitude of 0.5-2 seconds; and the control decision module compares a prediction result with a safety threshold value, generates control instructions in three levels to drive exoskeleton correction, synchronous feedback and recording, solves the problem of response delay of a traditional exoskeleton, and improves the construction safety and efficiency.

The invention discloses a charging gun based on a vision-pressure double-feedback plugging calibration mechanical device, and relates to the technical field of charging guns, the charging gun comprises a charging gun body and a moving frame arranged at the top end of a to-be-charged place, and an adjusting box electrically connected with the charging gun body through a butt joint line is slidably arranged in the moving frame; an adjusting piece used for being connected with the charging gun body is arranged below the adjusting box. According to the charging gun based on the vision-pressure double-feedback plugging calibration mechanical device, the adjusting box drives the adjusting part to be adjusted to the position matched with the vehicle body, the positions of the vehicle body and the charging port are scanned through the main lens and the auxiliary lens, the three-dimensional coordinates of the charging port are obtained, subsequent plugging is carried out, and the charging precision is improved. The plug-in pressure can be monitored in real time through the strain gauge, the posture of the gun head of the charging gun body is further adjusted, and the optimal plug-in track is output by fusing the visual posture data and the pressure gradient data, so that the accurate plug-in operation of the charging gun body is completed.

The utility model relates to a bridge strain monitoring sensing mechanism, which comprises a vibrating wire strain gauge, the bottom of the vibrating wire strain gauge is fixedly connected with a supporting table, the bottom of the supporting table is fixedly connected with two groups of positioning blocks, the bottom of each group of positioning blocks is provided with a group of connecting seats, the connecting seats are provided with slots, and the slots are connected with the vibrating wire strain gauge. And the positioning blocks extend into the inserting grooves located below the positioning blocks and are fixedly connected with the connecting bases, the opposite sides of the two sets of connecting bases are fixedly connected with abutting bases, and a set of retaining bases is arranged above each set of abutting bases. According to the utility model, the vibrating wire strain gauge can be in contact with the bridge under the supporting of the supporting table by utilizing the action of the retaining seat and the abutting seat on the guide frame, so that the vibrating wire strain gauge can be fixed at the bottom of the bridge without screws or adhesives when the device is installed and used; and the influence of screw corrosion or adhesive viscosity reduction on the contact monitoring of the vibrating wire strain gauge and the bottom of the bridge is avoided.

The invention discloses a face gear planetary transmission system dynamic uniform load test platform and test method, and belongs to the field of gear transmission, and the test platform comprises a rack, a drive motor, a step-up gear box, a face gear planetary transmission system, a magnetic powder brake, a torque sensor, a slip ring, a stress strain test system and the like. The face gear planetary transmission system comprises an input face gear, a planet wheel, a planet carrier, a fixed face gear and the like. According to the dynamic uniform load test, stress values at the tooth root of the face gear and the tooth root of the planetary gear are measured mainly through strain gauges, and the corresponding relation between the tooth root stress and the meshing force at the gear meshing point is obtained through finite element simulation. And calculating the dynamic uniform load coefficient according to the dynamic meshing force root-mean-square values and the average values obtained at the tooth roots of the face gear and the planetary gear. By testing and analyzing the dynamic uniform load coefficient, the load distribution characteristic of the face gear planetary transmission system can be accurately revealed, a scientific basis is provided for structural parameter optimization, meshing performance improvement and reliability design of the face gear planetary transmission system, and then accurate and high-performance design of the transmission system is achieved.

The invention provides a structural engineering bearing capacity field detection method, and belongs to the technical field of structural engineering detection.The structural engineering bearing capacity field detection method comprises the steps that a multi-axial acceleration sensor and a strain gauge array are installed on the surface of a to-be-detected structural member, and an intelligent loading device is adopted to apply incremental loads; a mobile data acquisition terminal is utilized to acquire vibration response data and strain response data in real time, modal parameters are extracted based on a frequency domain analysis method to establish a load-modal parameter relation curve, the bearing capacity of a component is analyzed and calculated, a graph theory shortest path algorithm is adopted to optimize load transmission path analysis, and the load transmission path analysis is optimized. The bearing performance of the component is accurately evaluated through the structural response prediction model based on the Transform architecture, the technical integration of multi-dimensional detection data fusion, intelligent loading control, quantitative bearing capacity evaluation and accurate performance prediction is realized, and the technical problem of insufficient detection precision of the bearing capacity of the structural component is solved.

The invention belongs to the technical field of impact fatigue performance detection, and particularly relates to a Hopkinson rod three-point bending sample-based constant-amplitude impact fatigue device, which comprises a dynamic indentation system, an energy absorption system, a strain measurement system and a pressure data acquisition system, and is characterized in that the dynamic indentation system comprises kinetic energy application equipment, an impact rod, an incident rod and a three-point bending test bed; the strain measurement system comprises a strain gauge and a dynamic strain acquisition instrument which are electrically connected, the pressure data acquisition system comprises a force transducer and a data acquisition instrument which are electrically connected, and the energy absorption system comprises a flange, a sleeve and a mass block. The device depends on the Hopkinson rod technology, the momentum well design is ingeniously fused, the problem of secondary loading is effectively avoided, constant-amplitude impact fatigue loading is achieved, key parameters such as the yield point, the elastic limit and the breaking strength of the material are accurately measured, and the reliability and safety of the material are comprehensively evaluated.

The invention discloses an integral type portable six-dimensional force measuring plate, which comprises an elastic body and a protection assembly arranged outside the elastic body, and further comprises a hub, a stress table and a plurality of strain beams, the stress table is arranged in the middle of the hub, the hub is connected with the stress table through the plurality of strain beams, a plurality of strain gauges are adhered to different positions of the strain beams, and the elastic body is connected with the hub through the strain gauges. A through hole is formed in the middle of the stress table, a bridge assembly plate for forming Wheatstone bridges and a data acquisition plate for acquiring and converting output signals of the elastomer are arranged in the through hole, and a plurality of wires are led out from the strain gauges and are welded to the bridge assembly plate to form six Wheatstone bridges which are respectively used for detecting forces and moments in three directions, namely Fx, Fy, Fz, Mx, My and Mz. The integrated force measuring plate has the advantages that the integral force measuring plate does not need to be spliced by a plurality of sensors, a plurality of beams can act together to balance stress and compensate each other, the influence of unbalance loading on a measuring result is reduced, and a plurality of force measuring plates can be spliced for use.

The invention relates to the technical field of coal mine safety monitoring, and discloses a coal mine tunnel laser radar three-dimensional dynamic monitoring method. Aiming at the problems that in the prior art, data of a laser radar is easy to interrupt or unreliable under a severe working condition, and monitoring continuity is poor due to insufficient multi-source data fusion, the method is characterized in that laser radar surface data and optical strain gauge point data are synchronously acquired; constructing a roadway digital twinborn model; carrying out fusion and assimilation on the multi-source data by utilizing a Transform mechanism to obtain initial roadway deformation data; judging the credibility of the laser radar data based on Bayesian estimation; when the data are missing or uncredible, deducing full-field deformation by utilizing a gating mechanism in combination with optical strain gauge point data and a digital twin model; and finally, generating and outputting a three-dimensional dynamic deformation field. The system is mainly used for real-time, continuous and high-reliability deformation monitoring and safety early warning of the coal mine tunnel.