231 results about "Stress sensing" patented technology

The invention discloses a landslide hidden danger point displacement monitoring system applying multi-source data fusion, and the system comprises a multi-source sensing unit which comprises a spaceborne radar sensing module which is used for obtaining large-range ground surface deformation data through a synthetic aperture radar; the earth surface deformation sensing module is used for monitoring earth surface displacement in real time through a double-frequency GNSS receiver and an optical fiber grating sensor; the underground stress sensing module is used for acquiring the stress change of an underground rock-soil body through a micro-seismic monitoring array and a distributed optical fiber sensor; and the edge calculation unit comprises a dynamic weight fusion module which is used for dynamically distributing the weight of the multi-source sensor according to the geological state and generating high-precision fusion displacement field data. According to the invention, through multi-source data fusion, model parameter real-time updating and a closed-loop optimization mechanism, bottlenecks of a traditional monitoring system in aspects of data quality, model precision and response efficiency are broken through, and data support is provided for accurate early warning and intelligent emergency of landslide disasters.

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 provides an optical fiber type underwater robot attitude 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, wherein the plurality of fiber bragg grating sensors are embedded in the flexible silica gel; the flexible silica gel is placed in the circular base and is used as a medium to transmit the force in the vertical direction of the stress sensing ball to the plurality of fiber bragg grating sensors; the base is separated from the lower rotary transmission shaft; the omni-directional rotatable transmission shaft, the spring and the stress sensing ball form an elastic linkage system. The device is installed on the upper surface of a robot, when the posture of the robot deviates, an elastic device formed by connecting a spring and a stress sensing ball slides on the whole flexible silica gel, the stress sensing ball extrudes the flexible silica gel, accordingly, the fiber Bragg wavelength changes, the position of the stress sensing ball can be obtained by adopting a posture analysis model based on deep learning, and the posture of the robot is analyzed. Therefore, different postures of the robot are sensed.

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 discloses an amorphous wire stress-electromagnetic coupling effect modeling method based on a micro-magnetism theory, and belongs to the technical field of magnetic materials and electromagnetic property regulation and control. According to the method, an amorphous wire micro-magnetic three-dimensional simulation model is constructed, solving is conducted through a finite element method, cross-scale simulation of magnetic domain structure evolution of the amorphous wire under the action of external stress is achieved, the change of effective magnetic conductivity of the amorphous wire under the action of different stress fields is further calculated, the skin effect and the magneto-impedance theory are fused, and the magnetic conductivity of the amorphous wire is calculated. And establishing an amorphous wire electromagnetic impedance spectrum model. According to the method, a quantitative mapping relation among the effective magnetic conductivity, the electromagnetic impedance characteristic and the external stress is established, a magnetic domain structure under the action of different stress fields can be deduced, and key parameters such as the effective magnetic conductivity and the electromagnetic impedance spectrum are output; theoretical guidance is provided for wide application of the amorphous wire in the fields of high-sensitivity stress sensing device design, broadband adjustable electromagnetic wave absorption / shielding, self-sensing composite material structure health monitoring and the like.

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 provides an intelligent prestress tensioning method and device for a fabricated building component, relates to the technical field of stress detection and analysis, and aims to perform three-dimensional simulation testing and visual attention monitoring to determine basic tensioning information, train a self-correction module, control an intelligent tensioning pump station and realize intelligent prestress tensioning of the fabricated building component. The device is used for assisting an upper industrial personal computer in numerical control management of a jack tensioning full period, synchronously monitoring and receiving sensing data to carry out deviation positioning and deviation correction decision making, and generating a deviation correction strategy to carry out numerical control compensation management of a feedback target, and is used for solving the problems that in the prior art, tensioning intelligence and flexibility are insufficient; the technical problems that the adaptive capacity under the complex working condition is poor, and full-period effective operation conforming to the actual operation condition cannot be achieved are solved. Effective construction information is determined through simulation and attention analysis, stress sensing layout is carried out, dynamic and static analysis and decision making are carried out in combination with a self-correction module, the intelligence and flexibility of tensioning control are improved, and reasonable and effective operation is carried out according to the actual operation condition.

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 utility model provides an electric power pole tower with line stress and overturning stress monitoring, which comprises a pole tower consisting of an electric power pole flange, an electric power pole lower section, a connecting flange and an electric power pole upper section in sequence from bottom to top, the electric power pole upper section is provided with a cross arm, and the cross arm is provided with a line insulator. The system is characterized in that a line stress sensing and monitoring transmission module is arranged between the cross arm and the line insulator; the power pole upper section and the power pole lower section are connected with stress fixing supports respectively, the upper stress fixing support and the lower stress fixing support are connected through an overturning stress pull rod, and an overturning stress sensing monitoring transmission module is arranged on the overturning stress pull rod. According to the utility model, real-time line stress monitoring and overturning stress monitoring can be carried out on the easily-damaged tower on the line in real time, the tower detection efficiency is improved, and the safety performance of the whole line 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 discloses a power transmission tower deformation prediction method and device and a computer program product, and the method comprises the steps: S1, obtaining the multi-source monitoring data of a power transmission tower, including key node strain data, tower body distributed deflection data and inclination monitoring data; s2, performing data fusion processing on the multi-source monitoring data, including dynamic load interference separation, temperature compensation and multi-source data filtering, and generating deformation state data; and S3, inputting the deformation state data into a pre-trained deformation prediction model, outputting an iron tower deformation prediction result, and identifying an abnormal type. According to the invention, a transmission tower full-scale deformation sensing system is constructed by fusing high-density distributed strain monitoring of an ultra-weak fiber grating array, vector stress sensing of a three-dimensional strain rosette and a multi-source heterogeneous data intelligent fusion technology; the technical bottlenecks of temperature-strain cross sensitivity, difficulty in dynamic load interference separation, insufficient local complex stress field analysis and the like in a traditional monitoring method are effectively solved.

The invention discloses an array substrate and a tactile sensor applying the array substrate. The array substrate comprises an array electrode plate, an ionic gel layer and a common electrode plate, the ionic gel layer is arranged between the array electrode plate and the common electrode plate; a plurality of array electrodes arranged in an array are arranged in the array electrode plate; a capacitor structure is formed between each array electrode and the common electrode plate; when normal force acts, the ionic gel layer is compressed, the distance between the array electrode and the common electrode plate in each capacitor structure changes, and a plurality of first capacitance difference signals are generated. When the tangential force acts, the opposite area of the array electrode and the common electrode plate in each capacitor structure is changed, and a plurality of second capacitance difference signals are generated; according to the invention, multi-dimensional and multi-point stress sensing can be realized, and the resolution and the sensitivity of stress sensing are improved, so that high resolution and high sensitivity are realized at the same time.

The invention discloses a mechanoluminescence optical fiber, a preparation method thereof and a distributed stress sensing system, and relates to the technical field of mechanoluminescence. The mechanoluminescence optical fiber is of a three-layer coaxial cylindrical structure and sequentially comprises a mechanoluminescence core layer, a light transmission cladding layer and a low-refractive-index coating layer from inside to outside. Wherein the mechanoluminescence core layer is a cylinder prepared from polymethyl methacrylate and mechanoluminescence powder, the light transmission cladding is a polymethyl methacrylate layer and wraps the mechanoluminescence core layer, and the low-refractive-index coating layer is low-refractive-index glue; the mechanoluminescence core layer generates an optical signal under the action of an external force, and a part of the optical signal is captured by a waveguide formed by the optical transmission cladding and the low-refractive-index coating layer and is transmitted along the optical transmission cladding. According to the invention, a double-cladding optical fiber structure in which the core layer emits light and the first cladding layer transmits is adopted, so that effective collection and transmission of optical signals are realized.

The invention discloses a power cable laying stress monitoring device which comprises a stress sensing module, a signal processing module, a data transmission module and a power supply module. The stress sensing module adopts an integrated FBG (Fiber Bragg Grating) sensor array of a flexible mounting belt, and realizes non-damage coating of a cable with the diameter of 3-200mm through an adjustable fastening device; the signal processing module comprises a low-noise optical fiber amplifier and a self-adaptive noise reduction algorithm, and is used for realizing + / -0.5 mu epsilon strain resolution and 5ms dynamic response; the data transmission module adopts a multi-band 4G / 5G communication module and supports AES-256 encryption and edge calculation; and the power supply module adopts a solar energy-lithium iron battery hybrid power supply system to realize 30-day uninterrupted operation. Through collaborative design of the FBG sensing array and the flexible mounting belt, the device solves the problems of poor mounting adaptability, low precision, response lag and the like of a traditional stress monitoring device, and is particularly suitable for real-time stress monitoring in the power cable laying process.

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 drilling-based advanced geological forecast device and a detection method, and relates to the technical field of geological exploration. When the drilling rate of a certain section changes, the depth range of the section is recorded as a detection section; an advanced geological forecasting device is placed in the drill hole; water is injected into the hollow push rod in a pressurized mode in a quantitative pressurized water injection mode, the water injection pressure change is observed and compared with the pressure change of the standard section, and the crushing degree of the unfavorable geologic body is quantitatively judged according to the pressure attenuation degree and the pressure time curve. And obtaining the bad degree and the axial distribution range of the bad geologic body according to the stress distribution range collected by the stress sensor. By adopting the scheme, the waste of procedures is avoided, the support of the excavated hole section has no influence on the test, the datamation degree of the test result is high, the influence of subjective judgment is reduced, and the method is more favorable for carrying out data quantitative comprehensive analysis by combining other advanced forecasting means in the later period.

The invention relates to an intelligent railway tunnel detection method based on a stress sensing rod, which is applied to the field of detection, and comprises the following steps of: embedding the stress sensing rod in surrounding rock, and detecting deformation of the surrounding rock in the vertical, transverse and longitudinal directions by using a detection unit, so as to analyze and obtain the release direction and deformation of stress; the stress sensing rod is filled with air, and the air is extruded by utilizing the extrusion effect when the stress sensing rod deforms, so that the indicating liquid is driven by the air to be extruded into a specified position, and the deformation amount of the surrounding rock can be known by observing the length of the indicating liquid, so that field maintenance personnel can visually express the deformation amount; and the visual expression form and the detection value of the detection unit can be mutually verified, so that the detection accuracy and stability are effectively improved, in addition, a corresponding support adjustment scheme can be provided for maintenance personnel according to the detection value, and the safety of the tunnel is effectively improved.

The invention discloses a coal-rock mass stress monitoring device and system. The coal-rock mass stress monitoring device comprises a multidirectional stress sensing hydraulic cylinder and a pressure transmitter, the multidirectional stress induction hydraulic cylinder comprises a cylindrical cylinder body, a hydraulic chamber is axially arranged in the cylindrical cylinder body, an oil injection port communicated with the hydraulic chamber is formed in the tail end of the cylindrical cylinder body, a plurality of hydraulic hole sets are evenly formed in the cylindrical cylinder body in the circumferential direction, each hydraulic hole set comprises a plurality of hydraulic holes, and the hydraulic holes are communicated with the hydraulic chamber. A hydraulic plunger is arranged in each hydraulic hole, a plurality of arc-shaped pressing plates in one-to-one correspondence with the hydraulic hole sets are arranged on the outer side of the barrel-shaped cylinder body in the circumferential direction, the hydraulic plungers in the hydraulic hole sets are connected with the corresponding arc-shaped pressing plates, and displacement sensors are arranged between the arc-shaped pressing plates and the barrel-shaped cylinder body. The input end of the pressure transmitter is connected with the oil injection port through a hydraulic oil pipe. The device can adapt to monitoring of pressure in different directions, the monitoring effect is improved, the device can be fully coupled with a drill hole wall, the monitoring precision is improved, and the stability and accuracy of long-term monitoring are guaranteed.

The invention provides a rail fence multi-parameter abnormity monitoring method, system and device and a medium, and the method comprises the steps: arranging a vibration sensing unit, a stress sensing unit and a temperature sensing unit on a monitoring fence and in a channel, and sensing abnormal changes; the sensed abnormal change is converted into a vibration optical signal, a stress optical signal and a temperature optical signal; respectively demodulating the vibration optical signal, the stress optical signal and the temperature optical signal to obtain vibration data, stress data and temperature data; and performing multi-dimensional analysis on the vibration data, the stress data and the temperature data, and judging the type of the abnormal change according to an analysis result. According to the invention, fine monitoring is carried out on the rail fence from multiple levels of vibration, stress and temperature, perimeter intrusion appearing near the rail can be identified and judged timely and accurately, and threat of intrusion behaviors to driving safety of the rail is avoided.

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 utility model relates to the technical field of anchor rod support monitoring, and discloses a stress monitoring assembly for a pre-stressed anchor rod, a hoop port of one group of hoop pieces is rotatably connected with a tightening screw rod, and a hoop port of the other group of hoop pieces is provided with a buckle groove opposite to the tightening screw rod. And the stress sensor and the adjusting screw seat are screwed and fixed through a stress screw rod. According to the utility model, the two groups of hoop sleeve positioning assemblies are used for hoop positioning and are buckled on the anchor rod in a hoop manner, and then the two groups of hoop sleeve positioning assemblies are used as stress points, and the stress monitoring assembly is arranged between the two groups of hoop sleeve positioning assemblies; the prestress of the anchor rod is monitored in real time by utilizing the tensile stress sensing monitoring of the stress sensor, so that the anchor rod has the advantages of simple and convenient installation performance, higher installation flexibility and more convenience in subsequent disassembly and assembly, and the whole anchor rod can be disassembled without disassembly and assembly of anchor rod accessories.

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 building outer wall falling alarm method and system and a storage medium, and the method comprises the steps: detecting a resistance parameter change value of a stress induction network, and determining the stress change of a to-be-detected building outer wall; according to the resistance parameter change value and a preset alarm value, a quasi-falling position of the to-be-detected building outer wall is determined, and the quasi-falling position is the position where the to-be-detected building outer wall will fall off due to the stress change generated by the to-be-detected building outer wall; and displaying the quasi-falling position and carrying out alarm feedback. The stress change of the to-be-detected building outer wall is determined by detecting the resistance parameter change value of the stress induction network, the position where the to-be-detected building outer wall is about to fall off is further judged in combination with the preset alarm value, the quasi-fall-off position is realzed, a fall-off alarm is sent in time, the fall-off position of the building outer wall is alarmed in real time, and the safety of the to-be-detected building outer wall is improved. And personnel and property loss caused by falling of the building outer wall can be prevented.

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.