100 results about "Stress sensing" patented technology

The invention discloses an online stress monitoring device and method based on Modbus-RTU stress sensing and digital communication, and the method comprises the steps: collecting original stress data and a multi-dimensional environment parameter sequence through stress sensing nodes, constructing an exclusive environment gene map, generating a dynamic compensation model, and carrying out the environment coupling decoupling and self-adaptive correction of the original data; a periodic self-diagnosis process is executed in the monitoring process, signal impedance characteristics and output signal stability are analyzed, and an equipment state fault code is generated and actively uploaded through a Modbus-RTU protocol when abnormity occurs; triggering a cooperative monitoring mechanism based on the corrected stress measurement value, controlling adjacent nodes to enter a high-frequency sampling mode and generating a stress propagation dynamic cloud; meanwhile, a node performance baseline is established, and a gain self-regeneration process is started when performance degradation is detected. Accurate compensation and dynamic correction of stress data are realized, and the environmental adaptability, the operation reliability and the fault early warning capability of a monitoring system are remarkably improved.

The invention discloses a precision clamp device for machining special-shaped workpieces in mechanical design, and relates to the technical field of mechanical manufacturing, the precision clamp device comprises a base main body, a reference bottom plate, a plurality of rotating shafts and corresponding elastic clamping blocks, the reference bottom plate is arranged on the base main body, and positioning slots are formed for the rotating shafts to be rotatably mounted; the rotating shafts can independently rotate and drive the elastic clamping blocks to deflect to adapt to the irregular surface of the special-shaped workpiece, the rotating shafts comprise rotating blocks matched with the inserting grooves and adjusting sliding grooves extending along the shaft length, and the rotating shafts are evenly distributed on the circumference of the reference bottom plate; an elastic clamping block is connected with a transmission screw and an adjusting nut, a linear sliding block is arranged to be matched with an adjusting sliding groove, a self-adaptive contact is arranged on the side, facing the clamping center, of the elastic clamping block, the contact is provided with an elastic protection contact end cover, and a stress sensing connecting rod and an elastic buffering spring are installed in the contact. A movable rod penetrates through the base body, one end of the movable rod is connected with a control handle, the other end of the movable rod is connected with a self-adaptive pressing plate, the movable rod is sleeved with a reset spring, the pressing plate is provided with a profiling abutting block, and the clamping stability is improved.

The invention provides an ice layer thickness identification and stress sensing cooperative navigation monitoring method and system, and relates to the technical field of ship navigation safety monitoring. The method comprises the following steps: acquiring and preprocessing sea ice images around a ship in real time; a self-built data set is made through labeling, a deep learning model is selected for segmentation, segmentation results of the snow accumulation layer and the ice layer are obtained, mask pixel values of the snow accumulation layer and the ice layer are obtained, and then the actual thickness is calculated; acquiring real-time stress data; using a timestamp synchronization mechanism to match the sea ice image of the time corresponding frame and the stress data; carrying out the normalization processing of the sea ice image and the stress data, carrying out the weight fusion of the normalized data, and calculating a comprehensive risk coefficient; a risk early warning level is output according to the interval where the coefficient is located; and when the coefficient exceeds a set threshold value, sound-light alarm and interface warning information are sent out. According to the invention, through collaborative analysis and risk assessment of multi-dimensional data, the sailing safety of the ship in the polar region and the sea ice region is improved.

The invention belongs to the technical field of engineering monitoring, and relates to a hydraulic engineering construction monitoring system and method, and the method comprises the following steps: constructing an in-situ double-field sensing array comprising stress sensing points and environment reference points according to three-dimensional space coordinates; integrating and generating homologous differential induction signals; generating a real-time response data stream after verification; generating a pure structure damage feature containing a real strain value; comparing the pure structure damage characteristics with a preset physical rule trigger to match and identify a predefined physical defect response mode, binding the response mode with a three-dimensional space coordinate of the common-cavity micro-force-sound feedback probe, generating a diagnosis record, integrating the physical defect response mode with construction process data, and generating a diagnosis result. And forming a combined evidence set containing physical phenomena and process parameters. According to the method, the problem that misjudgment or missed judgment is often caused by depending on an empirical formula or remotely arranged temperature reference points is solved.

The invention discloses a single-chip tactile or stress sensing active array and application thereof, and belongs to the field of chip application, the single-chip tactile or stress sensing active array comprises a single chip, the chip is provided with a stress sensing unit, the stress sensing unit is used for sensing stress changes and converting the stress changes into digital signals through an ADC, and the digital signals are output through a digital port of the chip; the circuit connection element has a circuit connection function and is used for realizing circuit connection; a plurality of chips form a chip array which is welded on the first surface of the circuit connecting element. The active array further comprises a reinforcing plate and a flexible covering layer, the reinforcing plate is located on the second face of the circuit connecting element, and the flexible covering layer covers the chip array and is used for sensing a stress field. When a finger touches the flexible covering layer, stress can be generated on the chip, signals are led out through the circuit connecting element and processed to perceive touch sense, each node in the chip array completes signal digitization on the single chip in the node, and signal interference caused by a lead is avoided.

The invention discloses a hard alloy cutter life prediction and material selection method and system based on working condition parameters, and relates to the technical field of hard alloy cutter manufacturing, and the method comprises the steps: collecting cutting force distribution and temperature gradient data through a cutter tip area stress sensing array and a temperature sensing array, and constructing stress-temperature-wear synergistic effect data; calculating a fatigue damage characteristic value based on the synergistic effect data to obtain a wear prediction correction coefficient; compensating the tool nose stress field by using the correction coefficient, and outputting life prediction data; and designing a carbide phase gradient distribution structure according to the synergistic effect data and the fatigue damage characteristic value, adjusting a carbide grain orientation angle in combination with the wear prediction correction coefficient and the life prediction data, outputting optimal material structure parameters, and realizing optimal selection of the hard alloy cutter material. According to the method, the cutter service life prediction precision is improved, and the dynamic optimization of the material structure is realized.

The invention discloses a roadway support digital design method and system based on surrounding rock fracture evolution simulation, particularly relates to the technical field of roadway engineering digital twin modeling and optical fiber stress sensing, and is used for solving the problems that in an existing support design method, the evolution process of a digital model and a physical entity is asynchronous, and the simulation precision is insufficient. Real-time surrounding rock strain data are obtained through a distributed optical fiber sensor, actual ground stress field distribution is obtained based on strain data inversion, the dominant direction of a potential fracture surface is identified, an anisotropic strength parameter field of a mechanical model is updated, and the updated model is operated to simulate the surrounding rock fracture evolution process. And identifying a composite high-risk area by combining strain energy density distribution and crustal stress field characteristics, and finally generating accurate digital support design parameters to realize dynamic optimization and accurate design of a roadway support scheme.

The invention provides a battery damage condition detection method and device, a medium, equipment and a program product, a power battery is arranged in an electric vehicle, and different preset positions in the power battery are respectively provided with a stress sensing unit and a temperature sensing unit; the detection method comprises the step of determining the damage condition of the power battery based on stress data collected by the stress sensing unit and temperature data collected by the temperature sensing unit at a set detection time. According to the method and the device, whether the battery cell in the battery pack in the electric vehicle is damaged or not can be judged in time after the electric vehicle is collided, so that the effect of detecting the damage condition of the power battery in time, comprehensively and efficiently is achieved, and the damage condition of the power battery can be detected in a state of identifying that the damage condition is serious and potential safety hazards exist. And timely and targeted intervention processing is carried out on the power battery, so that the safety of the battery and the whole vehicle is effectively guaranteed.

The utility model relates to the technical field of electrolytic cells, and particularly discloses an electrolytic cell sealing stress sensing module which comprises an electrolytic cell and a plurality of cylindrical pressure sensors, a plurality of screws are arranged between a first end plate and a second end plate of the electrolytic cell in a penetrating mode, and the two ends of each screw are in threaded connection with a first nut and a second nut respectively. The first nut and the second nut are used for locking the first end plate and the second end plate, the plurality of cylindrical pressure sensors are sleeved on the plurality of screw rods, the plurality of cylindrical pressure sensors are positioned on the same axial side of the plurality of screw rods, and the cylindrical pressure sensors abut between the first nut and the first end plate. The stress condition of the first end plate can be detected in time through the cylindrical pressure sensor, so that whether the sealing stress of the electrolytic cell reaches the standard or not is analyzed, and timely maintenance is facilitated.

This invention discloses a sample loading fixture for stress testing, relating to the field of stress testing technology. The invention includes a base plate with several support components mounted on its bottom surface. A slide rail mechanism is fixed to the top of the base plate, and a support assembly and a testing assembly are connected to the top of the slide rail mechanism. The support assembly and the testing assembly are interconnected. A positioning seat is mounted at one end of the top surface of the base plate. A positioning component is provided on one side of the support assembly, and a pressure plate mechanism is provided on the other side. An adjustment mechanism is provided between the testing assembly and the base plate. A position counting component is provided on one side of the slide rail mechanism. This invention, through a stepped planning of the distance the support assembly is pulled, and by comparing the tensile force display of the force gauge and the tensile stress reading of the stress sensor, forms multiple regular test control groups. Coupled with a high-precision testing environment, this enables comprehensive measurement of tensile stress data and completes a comprehensive and accurate recording of the tensile strength of the substrate glass.

The utility model relates to a battery pack of an electric trailer, which comprises a battery cover unit, battery body units and battery flexible temperature and stress sensing units, the battery body units are distributed in an array, and the battery flexible temperature and stress sensing units are used for collecting and monitoring temperature and stress data of the battery body units. And the data is transmitted to the battery cover unit. According to the design, the temperature and stress states of the battery body units can be accurately reflected in real time, accurate monitoring of a single battery body unit or a local area of the battery pack can be achieved according to real-time temperature information changes and stress information changes, abnormal battery body units can be conveniently positioned, first-aid repair and maintenance are facilitated, potential safety hazards are timely solved, and the service life of the battery pack is prolonged. Voice warning can be carried out, and the practicability is good.

The utility model discloses a coating viscosity on-line detection device, which belongs to the technical field of viscosity detection and comprises a base, guide rods are vertically arranged on the base, a top plate is arranged at the tops of the guide rods, a screw rod is arranged between the two guide rods, a crank handle is assembled on the screw rod, a groove is arranged on the bottom surface of the base, and the crank handle is arranged in the groove. A limiting rod is arranged at the part, which is arranged in the groove, of the bottom end of the screw rod; a movable plate is arranged between the base and the top plate, one end of the movable plate is in transmission connection with the screw rod, and the other end of the movable plate is in sliding fit connection with the two guide rods; a display, a controller and a motor are arranged on the movable plate, a rotating assembly is arranged on an output shaft of the motor, a stress sensor is arranged on the rotating assembly, the controller is electrically connected with the motor and the display, and the stress sensor is electrically connected with the display. According to the utility model, manual coating for detection is not needed, so that the labor intensity of workers is reduced, and the detection efficiency is improved.

The invention provides a stress sensing intelligent prediction method based on deep learning, and aims to solve the defects of a traditional method in the aspects of force value prediction precision and time sequence modeling capability. The method comprises the following steps: acquiring force value data of a stress luminescent material in a stretching process and image data of a corresponding luminescent area, and further realizing time alignment of the force value data and the image data through a data preprocessing and time alignment matching method so as to construct standardized time sequence data; then, a convolutional neural network based on a gating circulation unit is constructed, the convolutional neural network is used for extracting image features, the gating circulation unit network is responsible for modeling a time relation in time sequence data, and meanwhile, the capturing capacity for a complex stress change rule is further enhanced in combination with a multi-head attention mechanism; and finally, the dynamic change trend of the force value is predicted, a force value prediction result is output, and high-precision and intelligent technical support is provided for industrial monitoring and structural health diagnosis.

The invention discloses a multi-rare earth activated mechanical luminescent material based on a Li (Nb, M) O3 solid solution as well as a preparation method and application thereof, and belongs to the technical field of luminescent materials. The chemical formula of the material is Li (Nb0. 7M0. 3) O3: xRe < 0.01 > Zn, wherein M is Ta or Sb, Re is Sm, Dy or Eu, and x is larger than or equal to 0.005 and smaller than 0.01. The multi-rare earth activated mechanical luminescent material is prepared from raw materials Li2CO3, Nb2O5, ZnO, M2O5 and rare earth oxide through drying, grinding, pre-sintering, secondary grinding and sieving. The material breaks through the activation limitation of single Pr < 3 + >, realizes multi-color adjustable luminescence from yellow light, orange red light to red light, is controllable in trap structure and energy band, is good in mechanical luminescence repeatability, and can recover the initial intensity after being excited by ultraviolet light. The material can be compounded with epoxy resin to form a mechanical luminescent composite material which is suitable for a stress distribution visualization device, an intelligent optical anti-counterfeiting device and a stress sensing device.

A welding device for a special-shaped stress sensing element comprises a working bin and a smoke purifier communicated with the interior of the working bin through an exhaust pipe. An electric welding machine, a clamp tool, a welding robot, a control cabinet and a limiting assembly are arranged in the working bin. The clamp tool comprises a base, an overturning plate rotationally arranged on the base and a chuck arranged on the overturning plate. The chuck can rotate along a second axis; the chuck is provided with at least two groups of pressing block assemblies which are uniformly arranged at intervals along the circumference, each pressing block assembly comprises a pressing block capable of moving along the radial direction of the chuck, and the chuck can drive the pressing blocks to press the special-shaped stress sensing element penetrating through the center of the chuck; the limiting assembly and the clamp tool are oppositely arranged, the limiting assembly comprises an ejector block capable of horizontally moving, the ejector block and the chuck are oppositely arranged, and when the ejector block stretches out, one end of the special-shaped stress sensing element installed on the chuck can abut against the ejector block. Automatic welding of the special-shaped stress sensing element can be achieved, the welding effect is good, and the production efficiency is high.

The invention provides a multifunctional carbon-doped concrete supercapacitor and a preparation method thereof, and the multifunctional carbon-doped concrete supercapacitor is prepared from the following raw materials in parts by mass: 100 parts of ordinary Portland cement, 15-30 parts of a conductive carbon material, 15-35 parts of a mineral admixture, 40-70 parts of water, 0.8-2.0 parts of a polycarboxylic acid high-performance water reducing agent and 0.5-5.0 parts of a functional additive. The super capacitor also comprises an electrolyte which is immersed in the super capacitor. Through the synergistic effect of the functional additive, the high-specific-surface-area nano carbon black, the composite mineral admixture and the organic electrolyte, the novel concrete-based energy storage component which is high in energy storage density, long in cycle life and excellent in mechanical property and integrates a built-in stress sensing function is prepared.

The application discloses a kind of wind generating set bolt online state monitoring system and method, including stress sensing component being arranged on bolt, sensor data acquisition system being arranged in wind power generator central control room, sub alarm system being arranged in sub wind power plant central control room and total alarm system being arranged in total wind power plant central control room, wherein stress sensing component includes stress sensor, electrical connector, gap electrical connection ring plate, circle counter, data processor and signal transmitter, the cooperation setting of electrical connector, gap electrical connection ring plate and circle counter in the application, so that worker can clearly know the angle and the number of turns of bolt deflection due to loosening when maintaining loosening bolt, achieve the effect of precision reverse tightening maintenance, and through the cooperation setting of sensor data acquisition system, sub alarm system and total alarm system, vertical management mode is formed, while ensuring timely maintenance of abnormal bolt, reduce the workload of terminal personnel.

The application discloses a kind of ship superstructure wind resistance intelligent detection's navigation optimization system and method, comprising: wall shear stress sensing array, adhere to ship superstructure surface, real-time perception airflow generated wall shear stress and convert into electrical signal;Front end acquisition processing module, for the pre-processing of the electrical signal, and identify airflow separation feature to extract local airflow characteristic data;Center data processing and reconstruction module, receives the local airflow characteristic data, data reconstruction is generated global surface friction resistance cloud picture, and real-time solution ship under current navigation attitude instantaneous wind resistance coefficient;Navigation strategy optimization module, based on the instantaneous wind resistance coefficient and weather data, generate optimal heading and speed suggestion, output to ship automatic pilot system or energy efficiency management system.The application significantly improves the accuracy and real-time performance of wind resistance calculation, and provides key technical support for ship energy efficiency optimization and intelligent navigation.

The application relates to the technical field of data processing, and particularly discloses a marine structure construction optimization control method and system based on digital twinning. The application obtains measured strain data by establishing a stress sensing network, simultaneously constructs a first coupled finite element reference model on the digital side to obtain simulation strain data, screens sensitive parts based on the difference between the measured strain and the simulation strain, constructs an error function, and optimizes welding heat source parameters by using an inversion algorithm to obtain a second coupled finite element reference model that is corrected and calibrated, generates residual stress response samples under various welding sequences by using the second reference model, trains an AI agent model, realizes rapid prediction of residual stress under different construction paths, calls the AI agent model to evaluate the remaining welding sequence according to the current construction state, and selects the path with the smallest residual stress increment as the target construction path, so that stress active control and path optimization in the construction process are realized, and construction safety and efficiency are improved.

The invention relates to the technical field of communication optical cables, and discloses a high-reliability self-diagnosis communication optical cable and a diagnosis method, and the communication optical cable comprises a layered optical fiber bundle which is located at the center and comprises a core communication layer for data transmission and an optical monitoring layer for stress sensing; the conductive fiber grid is spirally and tightly coated outside the optical fiber bundle and is used for positioning physical damage by monitoring topological change of a resistance network; the functional ink layer is arranged between the sheath layers, and functional particles of the functional ink layer are used for irreversibly marking historical overpressure and moisture intrusion events; the three-layer co-extrusion functional sheath wraps all internal structures in an integrally molded manner and provides layered environmental isolation and physical protection; and the monitoring and adjusting terminal is connected with each sensing part and is used for comprehensively diagnosing the health state of the optical cable by fusing multi-source data. According to the invention, through integration of multi-source sensing data fusion and an active linkage pre-detection mechanism, accurate distinguishing of fault modes and prospective early warning of sheath micro-leakage risks are realized.

Mechanical stress sensing and compensation on a substrate is disclosed. In described examples, a circuit 500 includes an analog front end 403 arranged to generate an analog stress compensation signal in response to a to-be-compensated analog signal and a first axis stress sense signal (e.g., Vsense_x). The analog front end 403 can include a first precision component (e.g., Rsense_xa) arranged on a piezoelectric material 501 and arranged to generate the to-be-compensated analog signal (e.g., from 510) influenced by a stress applied in the piezoelectric material 501, and a directional stress sensor 440 arranged on the piezoelectric material 501 and coupled to the first precision component. The directional stress sensor 440 is arranged to generate the first axis sense signal in response to a longitudinal force of the stress applied in the piezoelectric material 501. A compensation circuit 520 is arranged to generate a compensation output signal in response to the compensation analog signal and the to-be-compensated analog signal.

The application discloses a force-induced luminescence plasmon enhancement method based on Au-S bonding modification and a flexible composite material, and the method comprises the following steps: (1) selecting a force-induced luminescence matrix; (2) spectrum matching; (3) in-situ modification of Au-S bonding; and (4) preparation of a flexible device. The flexible composite material is a flexible force-induced luminescence composite material obtained through the above method. Through the dual synergistic effect of LSPR local electric field enhancement and interface Schottky trap regulation, the force-induced luminescence intensity is significantly improved, the luminescence intensity of a ZnS:Cu flexible film under a trace amount of loading is improved by 580%, and meanwhile, the problems of weak interface combination, easy agglomeration quenching and poor flexible cycle stability in a traditional blending method are solved. The method has simple process and low cost, and has wide application prospect in the fields of flexible stress sensing and wearable optoelectronic devices.

This utility model relates to the field of cranes, and more particularly to a crane structural stress detection device. The crane structural stress detection device includes a first lifting arm; a second lifting arm is disposed within the inner cavity of the first lifting arm, and stress-sensing plates are disposed on the four inner walls of both the first and second lifting arms; wherein, a reciprocating movable component is disposed within the second lifting arm to move the stress-sensing plates within the inner side of the second lifting arm. The crane structural stress detection device provided by this utility model, by setting a reciprocating movable component to move the stress-sensing plates within the inner side of the second lifting arm, can comprehensively capture stress changes at various positions of the lifting arm under different working conditions. Compared with traditional fixed-position stress-sensing plates, it can obtain richer and more accurate stress data, effectively avoiding detection omissions caused by changes in stress concentration areas, and providing a more reliable basis for crane safety assessment.

The application discloses a coal seam gas extraction drilling hole sealing control system and relates to the technical field of coal mine gas extraction. The system comprises a positioning pipe, a communication pipeline, a gas extraction pipe, an outer pushing ring surface, a fixed shaft, a stress sensing adjusting device, an inner pushing ring surface and a self-adapting sealing device. The communication pipeline is movably arranged in the positioning pipe and is internally connected with the gas extraction pipe. The outer pushing ring surface is movably arranged at the right end of the positioning pipe and is located at a drilling hole orifice. The fixed shaft is movably arranged on the positioning pipe and is fixedly connected with the right side surface of the outer pushing ring surface. The stress sensing adjusting device is fixedly arranged at the left end of the positioning pipe, is located in the drilling hole and is fixedly connected with the left end of the communication pipeline. The inner pushing ring surface is movably arranged on the positioning pipe and is fixedly connected with the right end of the stress sensing adjusting device. The self-adapting sealing device is linearly arranged and comprises multiple sealing devices which are movably arranged on the positioning pipe and are located between the outer pushing ring surface and the inner pushing ring surface. The application realizes automatic retreat of the sealing ring when the drilling hole is radially contracted, automatic following when the drilling hole is radially expanded and adaptation to shear deformation, thereby ensuring efficient sealing during the whole gas extraction process.

A welding device of a stress sensing element comprises a working cabinet, an electric welding machine and a smoke purifier, and the working cabinet is communicated with the smoke purifier through an exhaust pipe; a working table and a welding gun sliding rail which is arranged above the working table and horizontally extends in the length direction of the working table are arranged in the working cabinet; a first chuck and a second chuck which are oppositely arranged are arranged on the workbench, the first chuck and the second chuck can axially rotate around the first chuck and the second chuck, the first chuck is detachably provided with a first clamp tool used for fixing a coil pipe of an oil conveying pipe, and the second chuck is detachably provided with a third clamp tool or a sealing special-shaped pipe used for fixing a connector; a second clamping tool used for fixing the oil conveying pipe straight pipe is arranged between the first chuck and the second chuck. A welding gun assembly capable of moving along the welding gun sliding rail is arranged on the welding gun sliding rail and comprises a welding gun with the position capable of being adjusted up and down and the angle capable of being adjusted. Automatic welding of the high-pressure-resistant stress sensor can be achieved, the welding effect is good, and the production efficiency is high.

The utility model relates to a shield tail brush of real -time monitoring morphological change, especially shield tail brush, its by bottom plate, lower bending plate, steel wire brush group, upper bending plate subassembly and apron are sequentially laminated and are composed, still include the stress sensing module and the signal transmission module who is used to receive and transmit stress sensing module signal in the shield tail brush main part of placing, the stress sensing module includes flexible stress piece, multi -axis stress piece array and elastic support plate, the flexible stress piece the multi -axis stress piece array place between the upper bending plate subassembly and the elastic support plate, the utility model discloses beneficial effect is: this technical scheme is through the lower surface of left inner protection plate and right inner protection plate and embeds flexible stress piece, when shield tail brush is subjected to the deformation of external force effect, flexible stress piece stretches along with, compresses or bends, and its internal conductive network or structure produces microscopic change, and then produces corresponding electric signal.

The invention relates to an intelligent primary and secondary fusion ring main unit, and relates to the technical field of ring main units, the intelligent primary and secondary fusion ring main unit comprises a box body frame, at least two diagonal positions of the box body frame are respectively provided with a hoisting stress sensing module, each module comprises a shell, a stress sensing and buffering assembly and an indicating assembly, the stress sensing and buffering assembly is provided with a movable part and an elastic mechanism, the indicating assembly comprises a transmission mechanism, a display mechanism and a locking mechanism, the stress sensing and buffering assembly further relates to specific structures of a guide mechanism and the elastic mechanism of the stress sensing and buffering assembly and specific structures of the transmission mechanism, the display mechanism, a one-way transmission mechanism, the locking mechanism, a reset mechanism and the like, and the shell is provided with an observation window. The effects that the stress condition is monitored in real time when the ring main unit is hoisted, the stress state is accurately indicated, the pointer is prevented from rotating, and the pointer can be reset for use next time are achieved.

The application relates to an embankment slope stability evaluation method based on artificial intelligence and belongs to the technical field of embankment slope monitoring and evaluation. The method comprises the following steps: collecting and labeling embankment slope stress sensing data; dividing the data into multiple spatiotemporal data blocks; constructing a stability evaluation model; extracting multi-scale convolution features by adopting multi-scale cavity convolution of a high-frequency channel and pooling-anti-convolution operation of a low-frequency channel, obtaining a multi-scale feature matrix; obtaining an implicit state sequence through a spatial attention mechanism and a double reset gate mechanism; calculating a time period saliency based on an implicit state vector, then calculating a weighted feature vector, and further obtaining a weighted feature matrix, which is processed through deep convolution and point-by-point convolution to obtain a pooling feature vector; performing stability evaluation grade classification through a learnable category prototype and a gated feature transformation; and dynamically adjusting sample weights and constraint attention distribution by adopting a total loss function. The application can improve the recognition ability for progressive instability.

This invention relates to the field of tunneling technology, specifically disclosing a real-time monitoring system for multi-point stress on a TBM shield and an adaptive adjustment system to prevent jamming. The system includes a multi-point stress sensing module, a data fusion and state reconstruction module, a jamming risk dynamic assessment module, a multi-objective optimization decision-making module, and an adaptive adjustment execution module. It collects shield stress data in real time using a high-density sensor array, reconstructs a stress distribution cloud map, dynamically assesses jamming risk, and generates a multi-objective optimization adjustment strategy. Finally, the various execution subsystems work together to achieve closed-loop adaptive control, thereby improving the continuity, safety, and efficiency of TBM tunneling under adverse geological conditions.

The invention discloses an intelligent dynamic checking method for warehousing and warehousing of textile products, which is characterized by comprising a multi-modal information coupling and binding step: a unique intelligent sensing tag is attached to each textile product, the tag is integrated with a passive RFID chip, a miniaturized environment sensor array and a flexible packaging stress sensing unit, and the passive RFID chip is integrated with the miniaturized environment sensor array and the flexible packaging stress sensing unit; the label adopts basic style or enhanced style gradient configuration, the basic style omits a VOC sensor and a physical unclonable function module, and the enhanced style integrates a full-function module; product basic information, initial packaging state data and textile material physical characteristic parameters are input through label writing equipment, a textile material parameter database is arranged in the label writing equipment, code scanning is supported, preset parameters are called, and a unique mapping relation of'product-label-multi-modal information 'is established; wherein the textile material physical characteristic parameters comprise fiber components, a weaving structure, a moisture regain reference value and a packaging elastic modulus; and a self-adaptive monitoring scheduling step.