179 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 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 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 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 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 utility model relates to an elevator safety detection device which comprises a bottom plate, first electric telescopic rods are fixedly connected to the four corners of the top of the bottom plate, a supporting plate is fixedly connected to the tops of the first electric telescopic rods, a lifting box is fixedly connected to the top of the supporting plate, and a lifting rod is arranged in the lifting box. The top of the lifting box is fixedly connected with a lifting rod, the top of the lifting rod is fixedly connected with a transverse plate, one side of the bottom of the transverse plate is fixedly connected with an impact power box, an impact rod is arranged in the impact power box, and one side of the impact rod is fixedly connected with a stress sensing assembly. The impact power box can conveniently carry out a multi-point impact test on the elevator door, the deformation effect of the elevator door at different test points can be observed, an accurate elevator safety value is obtained, the test driving box is arranged to drive the test plate to move reversely, and a safety test is conveniently carried out on whether the elevator door is opened or not when the elevator door is closed due to stress.

The utility model belongs to the technical field of pile foundation angle monitoring, and particularly relates to pile foundation offset real-time monitoring and correction compensation equipment which comprises a base, a dustproof acrylic cover fixed on the base, a closed mounting cavity formed by the dustproof acrylic cover and the base, and an integrated circuit board located in the mounting cavity. The three stress induction motors are electrically connected with the integrated circuit board through motor power supply lines, and the integrated circuit board is electrically connected with the angle correction compensation device through a wire; and the integrated circuit board is electrically connected with an external power supply. Due to the structure, real-time monitoring and timely correction and compensation are realized, the later maintenance cost is reduced, and the monitoring labor intensity of workers is reduced.

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 the technical field of monitoring devices, in particular to a pipeline stress induction monitoring device which comprises two hoops, the two hoops are connected in a hinged mode, the outer side walls of the two hoops are fixedly connected with installation plates, and the inner side walls of the installation plates are rotationally connected with two-way lead screws through bearings. Two hoops are clamped on the outer side wall of a to-be-monitored pipeline, a motor is started to drive a driving shaft and a driving gear to rotate, a driven gear in meshed connection with the driving gear drives a two-way screw rod to rotate, and two sections of external threads on the two-way screw rod drive two nut plates to get away from or get close to each other; the nut plate drives the electric push rod and the stress sensor to move, the extending length of the electric push rod is adjusted, the stress sensor is driven to be close to the outer side wall of the pipeline, and stress monitoring is conducted on the pipeline. Therefore, the representativeness of the data reflected by the stress sensor is stronger, and the collected data is more comprehensive.

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.