142 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 a glass production line cold end stress detection system and method. Belongs to the technical field of glass production detection. The method comprises the following steps: carrying out stress-related spectral data acquisition on a cold end area of the glass production line through a multispectral stress sensing array, and preprocessing the acquired spectral data to obtain a preprocessed spectral data set; spectral feature extraction is carried out on the preprocessed spectral data set, and a spectral feature vector set is constructed; based on the spectral feature vector set, utilizing a space-time correlation analysis algorithm to extract space-time features of glass cold end stress to obtain a stress space-time feature matrix; spectral data are collected through the multispectral stress sensing array, the influence of traditional contact type detection on glass products and a production line is avoided, and the detection precision and the real-time performance are improved.

The invention relates to the technical field of battery management, in particular to a modular intelligent battery management system, which comprises a sensing module for realizing full-dimensional monitoring of a battery through a multi-mode sensor array, implanting an MEMS stress sensing network and constructing a holographic stress tensor model; the operation and maintenance and decision-making module is used for realizing cooperative control of the battery units through dynamic impedance matrix construction, plasma resonance frequency monitoring and unbalanced thermodynamic gradient analysis; and the execution module is used for receiving the instruction sent by the stress analysis and optimization unit, controlling the piezoelectric composite material to generate a self-adaptive support structure, adjusting the internal mechanical structure of the battery, forming a stress shielding area and reducing the influence of stress on the performance and the service life of the battery. Through a dynamic impedance matrix and a main control unit election mechanism, the single-point bottleneck of traditional centralized management is avoided, and even if part of units fail, the system can still maintain the function through matrix recombination, so that the anti-interference capability and reliability are improved.

The invention relates to an embankment slope stability assessment method based on artificial intelligence, and belongs to the technical field of embankment slope monitoring and assessment. The method comprises the following steps: acquiring and marking embankment slope stress sensing data; dividing the data into a plurality of spatio-temporal 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-deconvolution operation of a low-frequency channel to obtain a fused multi-scale feature matrix; a hidden state sequence is obtained through a space attention mechanism and a double-door-setting mechanism; calculating time interval saliency based on the hidden state vector, then calculating a weighted feature vector, further obtaining a weighted feature matrix, and processing through deep convolution and point-by-point convolution to obtain a pooling feature vector; carrying out stability evaluation grade classification through learnable category prototype and gating feature transformation; and dynamically adjusting sample weight and constraint attention distribution by adopting a total loss function. According to the method, the progressive instability identification capability can be improved.

The invention relates to the technical field of frozen soil sample confining pressure testing, and discloses a subarea temperature control dynamic confining pressure loading device suitable for an over-saturated frozen soil sample, which comprises a hydraulic machine device controlled by a console, an air pressure mechanism, a cooling mechanism and a multi-state confining pressure assembly, a flexible rubber three-dimensional strain stress sensing cylinder for accommodating a frozen soil sample is arranged in the middle of the multi-state confining pressure assembly, and a temperature sensor and a pressure sensor are arranged in the flexible rubber three-dimensional strain stress sensing cylinder; the multi-state confining pressure assembly is formed by stacking a plurality of groups of multi-state confining pressure units; according to the invention, complex stress transfer and non-uniform confining pressure among soil particles in a natural stratum can be simulated, and the simulation authenticity of the stress condition of the frozen soil sample is obviously improved. According to the invention, independent temperature control of soil body areas at different heights can be realized, a stable temperature gradient from the top to the bottom of a frozen soil sample can be accurately established, and a temperature boundary more conforming to field conditions is provided for research on mechanical behaviors of frozen soil.

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 invention belongs to the technical field of stress sensing, and particularly relates to equipment and a method for realizing nano / nanosecond scale stress sensing of a high-speed vehicle, which can realize nano / nanosecond scale high-precision stress monitoring for a to-be-detected structure. The quantum dot array film composite material with a zero-pressure spectrum and a spectrum-stress curve independent from each other is prepared by utilizing the characteristics of the quantum dot spectrum related to the size and the type of the quantum dots. The size of the quantum dots is nanoscale, and the pressure-induced spectral shift sensitivity of the quantum dots can reach nanosecond magnitude, so that the composite material can realize nano / nanosecond-scale stress sensing. Furthermore, a fluorescence capture device integrated by a light beam emitting device and a micro spectrometer is adopted to monitor the fluorescence spectrum of the quantum dots in the vehicle operation process, and finally the real-time load spectrum of the to-be-measured part is obtained through a calibration formula in the software integration system.

The application discloses a landslide hidden point displacement monitoring system using multi-source data fusion, comprising: a multi-source sensing unit, the multi-source sensing unit comprising: a spaceborne radar sensing module, which is used for acquiring large-range ground surface deformation data through synthetic aperture radar; a ground surface deformation sensing module, which is used for monitoring ground surface displacement in real time through a dual-frequency GNSS receiver and a fiber bragg grating sensor; an underground stress sensing module, which is used for acquiring underground rock and soil body stress changes through a microseismic monitoring array and a distributed optical fiber sensor; an edge computing unit, the edge computing unit comprising: a dynamic weight fusion module, which is used for dynamically distributing multi-source sensor weights according to a geological state, and generating high-precision fused displacement field data. The application can break through the bottleneck of traditional monitoring systems in terms of data quality, model accuracy and response efficiency through multi-source data fusion, real-time model parameter updating and closed-loop optimization mechanism, and provide data support for precise early warning and intelligent emergency of landslide disasters.

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 provides a fiber underwater robot posture sensing device and method. The device comprises a plurality of fiber Bragg grating sensors, a base, flexible silica gel, an omnidirectional rotatable transmission shaft, a spring and a stress sensing ball, the plurality of fiber Bragg grating sensors are embedded in the flexible silica gel; the flexible silica gel is placed in a circular base and transmits the force in the vertical direction of the stress sensing ball to the plurality of fiber Bragg grating sensors as a medium; the base is separated from the lower rotatable transmission shaft; the omnidirectional rotatable transmission shaft, the spring and the stress sensing ball form an elastic linkage system. The device is installed on the upper surface of the robot, when the posture of the robot deviates, the elastic device connected by the spring and the stress sensing ball slides on the entire flexible silica gel, the stress sensing ball extrudes the flexible silica gel, thereby causing the wavelength of the fiber Bragg to change, and the position of the stress sensing ball can be obtained by using a posture analysis model based on deep learning, so that different postures of the robot can be sensed.

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 invention discloses a composite current collector for a lithium iron phosphate battery, which belongs to the technical field of composite current collector structures, and comprises a fiber grating array sensor, a support substrate, a conductive layer and an electrode layer, the fiber bragg grating array sensor is accommodated in the supporting base body, the conductive layer covers the outer surface of the supporting base body, and the electrode layer covers the outer surface of the conductive layer; the fiber bragg grating array sensor comprises an optical fiber and a plurality of fiber bragg gratings, the optical fiber is arranged in a bent mode, the fiber bragg gratings are all arranged on the optical fiber, the center wavelengths of the fiber bragg gratings are different, and all the fiber bragg gratings are located on the same straight line. And the distance between two adjacent fiber bragg gratings is kept consistent. The composite current collector is manufactured by embedding the fiber grating array sensor into the supporting substrate and adding the conductive layer and the electrode layer, can be directly implanted into the lithium iron phosphate battery, has conductive and stress sensing functions, and can detect the internal stress of the lithium iron phosphate battery in real time.

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.

The utility model discloses a new energy automobile charging cable which comprises an inner supporting structure, and the outer side of the inner supporting structure is sleeved with a sheath structure. The inner supporting structure is provided with a plurality of supporting ridges, the plurality of supporting ridges divide an inner cavity of the sheath structure into a plurality of wiring cavities, wires are arranged in the wiring cavities in a penetrating manner, and filling bodies are arranged between the wires and the inner walls of the wiring cavities; a stress induction wire core is embedded in the center of the inner supporting structure. According to the utility model, the anti-compression and anti-fracture capability of the cable is improved, and an alarm can be given out when the cable is over-folded and over-pressed.

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.