1610results about "Electrical/magnetic solid deformation measurement" patented technology

The invention discloses a concrete strength remote monitoring method and system suitable for a complex environment, and belongs to the technical field of civil engineering structure health monitoring. The remote monitoring method comprises the following steps: step 1, acquiring performance data of a concrete structure and related environmental factor data, and transmitting multi-source heterogeneous data to a data processing center in real time through a preset wireless communication protocol; step 2, constructing a five-dimensional tensor data structure, and realizing accurate mathematical expression of a complex coupling relationship between environmental factors and material characteristics through tensor decomposition; step 3, capturing nonlinear time-varying characteristics of concrete strength evolution; 4, quantifying the age effect through an intensity development rate index; step 5, based on the intensity development rate change trend, adaptively adjusting the data sampling frequency and monitoring the environmental condition fluctuation; and step 6, evaluating the safety state of the concrete structure in real time, and ensuring safe and reliable operation of the concrete structure in a complex environment.

The invention discloses a self-adaptive InSAR-GNSS high-precision three-dimensional deformation resolving method with regularization introduced twice, and the method comprises the steps: obtaining InSAR deformation data and GNSS three-dimensional deformation data of a to-be-monitored region, and building an InSAR error correction model considering spatial correlation based on the InSAR deformation data and the GNSS three-dimensional deformation data; performing system error correction on the InSAR deformation data by using the corrected error correction model to obtain preliminary correction data; grouping the preliminary correction data according to data precision characteristics and determining an initial weight; iteratively calculating until unit weight variances of each group of observation data are approximately equal to obtain a final weight; and obtaining a high-precision earth surface three-dimensional deformation rate based on the final weight. According to the method, Tikhonov regularization is introduced twice, the weight is dynamically adjusted in combination with the IGGIII equivalent weight function, and various error influences are effectively reduced.

The invention provides a rock-soil body multi-field coupling intelligent monitoring system comprising a multi-field sensing device configured to monitor parameters of a deformation field, a seepage field, a temperature field and a stress field of a rock-soil body; the edge calculation and transmission device is configured to perform preprocessing and real-time transmission on the multi-field sensing data; and the intelligent decision-making device is configured to analyze the preprocessed data based on a multi-field coupling model and generate disaster early warning information. According to the rock-soil body multi-field coupling monitoring system and method provided by the invention, synchronous monitoring of a deformation field, a seepage field, a temperature field and a stress field is realized through the multi-field sensing device; real-time data processing is performed in combination with an edge calculation and transmission device, and a dynamic early warning mechanism is established by using an intelligent decision-making device, so that the technical problems of multi-field data space-time correlation failure, insufficient multi-source data fusion precision and poor early warning mechanism adaptability are effectively solved, and the geological disaster early warning method has the remarkable advantages of improving the geological disaster early warning accuracy and timeliness.

The invention provides a Beidou intelligent early warning analysis method and system applied to a drainage basin-level reservoir dam group, and the method comprises the steps: obtaining a dam body deformation time sequence record and a corresponding hydrological environment time sequence record which are collected by a monitoring system of the drainage basin-level reservoir dam group through a Beidou satellite positioning terminal; dam body deformation response mode self-encoding processing is carried out on the associated time sequence data set, a deformation response feature element set representing the dam body structure state is generated, the deformation response feature element set is input into a pre-constructed basin reservoir dam group topological relation graph, abnormal state propagation calculation is carried out through the state dependency relation between graph nodes, and the abnormal state propagation calculation is carried out. And obtaining a chain risk transmission path set, performing risk evolution trend deduction on dam nodes in each path based on the chain risk transmission path set, generating a risk evolution index matrix, and generating a threatened risk identification sequence for key dam nodes. According to the method, the structuralization and response operability of the early warning information can be improved, and the scientificity and practicability of early warning analysis of the basin-level reservoir dam group are comprehensively improved.

The invention relates to the technical field of dam safety monitoring, in particular to a method and system for improving dam GNSS deformation monitoring precision through base station and observation station combined network adjustment. The method comprises the following steps: arranging base stations and monitoring points to form a GNSS monitoring network; gNSS original observation data are collected in real time and preprocessed; constructing a joint network adjustment model, and taking base station coordinates as constraints and monitoring point coordinates as to-be-estimated parameters; performing baseline resolving based on the double-difference carrier phase observed quantity to obtain a baseline vector and a covariance matrix thereof; carrying out overall adjustment on the baseline vector by adopting a robust estimation method, and solving an optimal coordinate estimated value and precision information of the monitoring point; carrying out deformation analysis on the basis of the adjusted coordinate time sequence, and extracting tendency, periodicity and abnormal deformation; and outputting a deformation monitoring result, and carrying out visual display and early warning. According to the method, the precision and reliability of dam deformation monitoring are effectively improved through combination of network adjustment and robust estimation.

The invention provides a detection device for internal pressure change of a battery cell, the battery cell comprises an explosion-proof valve or an explosion-proof sheet, and the explosion-proof valve or the explosion-proof sheet is arranged on a shell of the battery cell. When the internal pressure of the battery cell changes, the explosion-proof valve or the explosion-proof sheet deforms at first until the battery cell is broken due to overlarge internal pressure, and the detection device comprises an electrode sheet which is a multi-section type electrode sheet comprising a plurality of electrode sections, each electrode section is physically separated and is arranged above or on the side of the explosion-proof valve or the explosion-proof sheet, each electrode section and the explosion-proof valve or the explosion-proof sheet form an inductive capacitor, and deformation of different positions of the explosion-proof valve or the explosion-proof sheet is detected based on capacitance change; and the chip is a multi-channel chip, each channel is connected with each electrode section through a connecting line in a one-to-one correspondence manner, and the chip is also connected to an anti-explosion valve or an anti-explosion sheet through a connecting line. The invention also provides a battery core internal pressure early warning system.

The invention provides a geotechnical engineering slope deformation monitoring method and system, belongs to the field of geotechnical engineering monitoring, and is used for solving the problems of low monitoring precision and poor early warning reliability caused by spatial-temporal dislocation of multi-source data, static geological parameters, poor swivel scene adaptation and no closed-loop optimization in related technologies. According to the method, multi-source deformation data, geological parameters and rotation characteristics are collected, the type and progress of a rotation are identified, multi-resolution hierarchical fusion (dynamic weight adaptive data credibility and environmental interference) and dynamic inversion geological parameters are performed after space-time alignment to construct a prediction model, model parameters and an early warning threshold are dynamically scheduled in combination with the rotation characteristics, and the prediction result is obtained. The precision is improved through closed-loop feedback optimization iteration, the system provides hardware support for the method, and precise monitoring and efficient early warning of slope deformation are achieved.

The invention discloses a fault co-seismic sliding surface inversion method and system based on Beidou and artificial intelligence. The method comprises the steps of collecting Beidou data and seismic waveform data of a target area in real time, and performing preprocessing to extract co-seismic displacement and waveform features; fusing the Beidou deformation features and the seismic wave features to form a multi-modal feature vector; a fault prediction model is constructed based on a graph neural network, forward modeling and historical earthquake example data training are utilized, and multi-modal features are input to obtain preliminary fault sliding distribution prediction; rapid optimization under physical constraint is carried out through the elastic dislocation model, and a final fault sliding model conforming to the geophysical law is obtained; finally, uncertainty quantification is carried out, and a visual product of the dynamic process including sliding distribution, seismic moments and fault deformation is generated. According to the system, full-process automatic processing is achieved through cooperation of all the units, the inversion speed, precision and physical credibility are improved, and reliable support is provided for earthquake emergency response and disaster assessment.

The present disclosure provides a method and system for establishing a space-ground integrated real-time monitoring reference for dam deformation. The method includes: transmitting control instructions to a space-based Beidou system, a ground-based measurement robot system and a ground-based inverted plumb line system; obtaining a dynamic reference point position of a dam deformation area in real time through the space-based Beidou system; obtaining a spatial relative reference point position of the dam deformation area in real time through the ground-based measurement robot system; obtaining a static gravity reference point position of the dam deformation area in real time through the ground-based inverted plumb line system; and performing data fusion on the dynamic reference point position, the spatial relative reference point position, and the static gravity reference point position, and obtaining a monitoring reference value of the dam deformation area.

The invention discloses a geotechnical engineering slope stability real-time monitoring method and a geotechnical engineering slope stability real-time monitoring system, which are characterized in that a blind source separation technology combining independent component analysis and physical constraint is introduced, an original displacement time sequence and an environment temperature time sequence of a plurality of GNSS (Global Navigation Satellite System) measuring points are regarded as multi-channel mixed signals, and statistical independence among signal sources is utilized to monitor the stability of a slope in real time. Periodic environment noise, instrument random noise and drift and real slope deformation signals are effectively separated from the mixed observation signals; and then, through correlation verification with physical quantities such as the field environment temperature and the like, automatic calibration is performed on the separated source signals, and temperature effect source signals and long-term creep source signals with physical labels are accurately identified and extracted, so that accurate elimination of noise components and high-fidelity reconstruction of pure deformation signals are realized. Therefore, the accuracy of real-time monitoring of the slope stability of geotechnical engineering can be effectively improved, and a solid data basis and a decision basis are provided for early warning and prevention of slope disasters.

The invention discloses a bridge deformation monitoring method based on RTK differential positioning and IMU fusion and a medium, which fully considers the requirements for displacement, angle and other data in the bridge deformation monitoring process, realizes multi-angle and multi-azimuth monitoring by using GNSS and IMU, and improves the accuracy of bridge monitoring. The RTK positioning data and the IMU measurement data are fused through the extended Kalman filtering algorithm, the IMU error can be compensated, the advantages of the two kinds of data can be fully mined, and data complementation and optimization are achieved. Under the condition that satellite signals are shielded or interfered, IMU data can assist in maintaining the stability of a monitoring system, and interruption of positioning information is avoided; when the IMU data fluctuates for a short time, the high-precision positioning result of the RTK can correct the fusion result to ensure that the output bridge deformation monitoring data is always accurate and continuous, so that the robustness and reliability of the whole monitoring system in a complex environment are improved.

The invention relates to a deformation monitoring method and device based on Beidou and inertial vision fusion, and the method comprises the steps: carrying out the data synchronization of a preset inertial measurement unit, an inertial camera and a Beidou positioning module, and building a unified time reference; the method comprises the following steps: imaging a preset target on a target facility through an inertial camera and extracting image point features at a first moment and a second moment on the basis of a unified time reference so as to obtain a first imaging picture and first attitude data as well as a second imaging picture and second attitude data; acquiring first position data of the inertial camera at a first moment and second position data of the inertial camera at a second moment, calculating relative displacement data of the inertial camera between the first moment and the second moment, and correcting to obtain corrected target image point displacement; and carrying out fusion calculation on the corrected target image point displacement and the real-time attitude data of the inertial camera to obtain actual settlement displacement data. The method and the device have the effect of improving the facility deformation monitoring accuracy.

The invention discloses a high arch dam global deformation analysis method and system fusing InSAR and measuring point data, particularly relates to the technical field of radar interference deformation monitoring, and is used for solving the problem of inaccurate shielding failure compensation. According to the method, data stability is guaranteed by obtaining InSAR image data and extracting sight line direction displacement in combination with coherence indexes, a key measuring point deformation sequence is collected, an InSAR result is calibrated based on stable reference points, data consistency is improved, a projection correction coefficient is constructed by using a dam body three-dimensional structure model, the sight line displacement is inversely solved into structural normal displacement, and the accuracy of the dam body three-dimensional structure model is improved. Obtaining an initial deformation value of the real structure meaning; according to the method, a spatial coupling map of measuring points and InSAR pixels is constructed for a shielding failure area, deformation compensation of the failure area is completed based on an edge weight, finally the deformation compensation result is remapped to a three-dimensional structure model, measuring point data restoration is performed on a high arch dam, and structural plane-level deformation visualization and trend analysis are realized more quickly and more accurately.

The invention relates to the technical field of electronic connector performance monitoring, in particular to a connector performance detection method, and aims to solve the problem that a method for realizing performance early warning through dynamic correlation analysis of vibration signals and contact resistance in the prior art is not suitable for an L-shaped pin connector without a sheath. According to the method, micro-strain signals and contact resistance signals are synchronously collected, analysis time periods are divided in combination with plugging events, the plastic deformation accumulation degree and signal response delay characteristics are quantitatively evaluated, performance degradation coefficients are generated through fusion, and trend analysis is carried out; the problem that the relevance between the mechanical deformation and the electrical performance cannot be quantitatively evaluated in the prior art is effectively solved, and the method has the advantages of realizing early warning, improving the monitoring accuracy and reducing the maintenance cost.

The invention discloses a bimodal flexible sensor and a rock-soil body deformation and settlement method, and relates to the technical field of geotechnical engineering deformation monitoring, the bimodal flexible sensor comprises a flexible substrate, one side of the flexible substrate is provided with a first flexible sensing layer, and the other side of the flexible substrate is provided with a second flexible sensing layer; a plurality of electrodes are arranged on the first flexible sensing layer and the second flexible sensing layer at equal intervals; the flexible substrate, the first flexible sensing layer, the second flexible sensing layer and the electrode are wrapped in the packaging layer; the first flexible sensing layer and the second flexible sensing layer have resistance difference in the process of monitoring soil deformation, and the soil deformation amount is obtained based on the resistance difference. According to the invention, the deformation and settlement of the rock-soil body are realized based on the resistance difference of the flexible sensing layer in the bimodal flexible sensor, the deformation type of the soil body can be identified, and the monitoring precision is improved.

The invention provides a fan tower drum deformation real-time monitoring and early warning system, method and equipment based on Internet of Things safety, and relates to the technical field of wind power generation. The system comprises a sensor module used for collecting deformation data of a fan tower, and the deformation data comprises strain data, inclination data, micro-strain data, vibration data, wind load spectrum and temperature and humidity parameters of distributed optical fibers; the data analysis and early warning module is used for inputting the standard deformation data into the deformation prediction model and outputting a deformation prediction value; inputting the standard deformation data into a health assessment unit to obtain a health score; and sending red early warning information under the condition that the variable quantity of the deformation predicted value within the target duration is greater than a first threshold value and / or the health score is less than a second threshold value. According to the method, composite early warning is carried out through the abnormal modes of the associated multiple parameters, and the health condition of the fan tower can be judged more accurately.

The invention relates to the technical field of sensors, in particular to a rigid-flexible coupling rotating body deformation sensor based on full-flexible design and a testing method. The sensor comprises an annular main body; the annular main body is a closed ring formed by alternately connecting a plurality of rigid arcs and a plurality of flexible arcs; the rigid arc and the flexible arc are arranged in a manner of meeting dynamic balance; the plurality of micro data acquisition devices are respectively integrated on each rigid arc; the miniature data acquisition device comprises a Wheatstone bridge, a filtering module, a digital potentiometer, an analog-to-digital conversion module, a digital acquisition module, a single-chip microcomputer, a wireless signal sending module and a battery unit. The plurality of strain gauge groups are respectively arranged on the outer surface of each flexible arc; and the thickness of the flexible arc is uniform. According to the invention, deformation adaptation and high-sensitivity measurement are realized through a rigid-flexible arc alternating structure, and convenient monitoring under a rotation working condition is realized through a wireless communication miniature data acquisition device.

The invention relates to an ephemeris broadcast and time synchronization method for Beidou pseudolite deformation monitoring, and belongs to the technical field of satellite positioning. The method comprises the following steps: constructing a linearization error equation based on a pseudo-range observation value, and solving a clock error correction amount in combination with a robust iterative algorithm to improve the time synchronization precision; analyzing ephemeris parameters of the Beidou GEO satellite, calculating earth-fixed coordinates of the Beidou GEO satellite, and rotating and adapting the earth-fixed coordinates; establishing an affine transformation relationship between the pseudo-satellite coordinates and GEO ephemeris, and generating optimized pseudo-satellite ephemeris data; and a time synchronization protocol is designed, and clock skew is compensated through bidirectional timestamp interaction of the main base station and the pseudo satellite. According to the method, nanosecond synchronization of the pseudo-satellite and the real satellite is realized, the ephemeris parameter redundancy problem of the static pseudo-satellite is optimized, multi-system cooperative work is supported, and the deformation monitoring reliability and precision under the complex terrain are remarkably improved.

The invention discloses a method for dynamically evaluating the ultimate bearing capacity of a layered damage composite material cylindrical pressure-resistant shell in the field of deep sea equipment structure health monitoring, which comprises the following steps of: establishing a nonlinear relationship between a critical buckling load of an unlayered composite material cylindrical shell and a critical buckling load of a layered composite material cylindrical shell, and calculating an attenuation coefficient of each group of samples; measuring inner and outer layer strain values of the to-be-evaluated composite cylindrical shell, detecting extreme value statistics and cumulative sum based on change points of the inner and outer strain values, judging that the position of the point is layered, constructing a layering point set, calculating five layering characteristic parameters of the to-be-evaluated composite cylindrical shell based on the layering point set, and substituting the five layering characteristic parameters into an attenuation coefficient formula, obtaining a critical load of the to-be-evaluated composite cylindrical shell; according to the method, through combination of dual-surface strain cooperative monitoring and a regression model, prediction of critical buckling loads in a service state is realized, environments such as shell thickness fluctuation, salt spray corrosion, interface fracture parameter measurement errors and impact loads are compatible, strain gauge monitoring and limit load online evaluation are fused, and a dual evaluation system is formed.

The invention discloses a cable GIS terminal stress-strain sensor and a strain monitoring method thereof, and belongs to the technical field of stress-strain monitoring, and the sensor comprises a sensor structure unit which comprises a metal housing, a fixed contact, a movable contact and a piezoelectric element; the signal processing unit is integrated in the integrated circuit shell and comprises a charge collector used for converting a charge signal of the piezoelectric element into an analog voltage signal; the pulse charge discharger is connected to the output end of the charge collector in parallel; the analog-to-digital converter is connected with the output end of the charge collector and is used for converting the analog voltage signal into a digital signal; the serial communication interface is used for outputting digital signals after analog-to-digital conversion; the mounting unit comprises a fixing hole position and an adhesive base which are arranged on the metal shell; the cable GIS terminal stress strain monitoring device is used for monitoring the stress strain of the cable GIS terminal in the operation process so as to reflect typical structure defects appearing in the cable GIS terminal, and online monitoring of the cable GIS terminal equipment is achieved.

The invention provides a scroll compressor cross ring dynamic strain wireless measuring device, which relates to the technical field of compressor state monitoring and comprises a high-temperature-resistant strain gauge, a wire fixing system and a wireless sensor. Wherein the high-temperature-resistant strain gauges are respectively attached to stress sensitive areas of a static key, a ring beam and a movable key of the cross ring every time; the wire fixing system comprises a three-stage fixing structure formed by an adhesive, an internal wire, an external wire and an internal binding post; the three stages of fixing structures are a strain gauge end fixing structure, a lead transition section fixing structure and a binding post end fixing structure in sequence; the high-temperature-resistant strain gauge is connected with the wireless sensor through an internal wire, a binding post and an external wire, and continuous signal collection is achieved. By implementing operation according to the technical route, the impact load borne by the cross ring at the moment of starting and stopping of the compressor can be collected in a high-quality mode, data collection in a closed cavity is achieved, and an experimental basis is provided for subsequent strength design of the cross ring.

A cell module for an electrical energy storage device of a motor vehicle includes at least one cell structure made up of energy storage cells, a metallic cell module frame, enclosing the at least one cell structure, for clamping the energy storage cells, and a measuring device for detecting a deformation of the cell module frame related to cell expansion. The measuring device includes a passive resistive extension sensor having a deformation-dependent electrical resistance and a measuring unit connected to the extension sensor to output an electrical measurement signal characterizing the deformation-dependent electrical resistance of the extension sensor. The extension sensor is formed by the metallic cell module frame, with which the measuring unit is electrically contacted.

The invention provides a virtual measurement method and device, and belongs to the technical field of semiconductor manufacturing. The method comprises the steps that surface topography parameters of M1 wafers in a wafer set are measured, a first measurement result of the M1 wafers is obtained, the wafer set comprises N continuous wafers in the same crystal bar, and the M1 wafers are wafers distributed on the crystal bar at intervals in the N wafers; the first measurement result is input to a pre-trained virtual measurement model, a second measurement result of M2 wafers is obtained, and the M2 wafers are wafers except the M1 wafers in the N wafers; and combining the first measurement result and the second measurement result to obtain a measurement result of the wafer set. And the accuracy of the measurement result is improved while the productivity resources are released.

The invention discloses a dam interior and exterior deformation monitoring method and system based on deep fusion of finite element and GNSS (Global Navigation Satellite System) monitoring. According to the method, surface displacement observation data are obtained through a GNSS receiver, a finite element model is constructed, and the mechanical response of the finite element model under hydrostatic pressure, temperature and seismic load is simulated. According to the first layer, parallel primary fusion is conducted on GNSS data and finite element output through Kalman filtering, particle filtering, a neural network and a Bayesian algorithm; in the second layer, weights are dynamically distributed on the basis of mean square errors of all algorithm results in a sliding window and reference data, and a high-precision displacement estimation value is generated through weighted integration. The system evaluates data quality and model confidence in real time, dynamically optimizes weight distribution, performs early warning based on multistage thresholds of displacement, speed and acceleration, and finally studies and judges structural risks through time sequence decomposition and abnormal mode recognition. According to the invention, the overall precision and reliability of dam deformation monitoring are significantly improved.

The invention relates to the technical field of flexible electronic materials and devices, and discloses a multilayer composite fiber membrane, a preparation method and application thereof, and a flexible strain sensor. The multi-layer composite fiber membrane comprises a polymer membrane and a conductive sulfonated SEBS (Styrene-Ethylene-Butylene-Styrene) membrane which are used as matrix layers, wherein the polymer film is doped with a conductive filler. The flexible strain sensor prepared by using the multilayer composite fiber membrane provided by the invention has high sensitivity and short response recovery time, not only has a monitoring capability for a stretching signal, but also has sensitive response to a pressing signal, can identify weights with different weights, and has very reliable sensing capability.

The invention relates to a large-breadth flexible damage sensing material and a preparation method thereof, belongs to the field of intelligent material preparation, and solves the problem that large-scale preparation of the large-breadth flexible damage sensing material is difficult in the prior art. The invention discloses a large-breadth flexible damage sensing material and a preparation method thereof. The large-breadth flexible damage sensing material comprises a flexible substrate layer, a conductive layer and a packaging layer, wherein the conductive layer is superposed on the flexible substrate layer; the packaging layer covers the conductive layer; the conductive layer is made of a laser-engraved polyimide film, a functional laser-induced graphene structure and an auxiliary separation structure which are etched by a laser engraving machine are arranged on the conductive layer, and the auxiliary separation structure comprises a film through hole and an edge cutting line; the large-breadth flexible damage sensing material provided by the invention is high in fineness, stable in performance and capable of meeting large-breadth sensing application, the preparation method of the large-breadth flexible damage sensing material is simple in step and high in preparation efficiency, and the large-breadth flexible damage sensing material which is stable in performance and high in fineness can be prepared in batches.

The application belongs to the technical field of high polymer materials, and particularly relates to an ion conductive hydrogel, a sensor and a preparation method and application thereof. The ion conductive hydrogel comprises a double-network hydrogel and ion salts and alcohol dispersed in the double-network hydrogel; the first network of the double-network hydrogel is formed by cross-linking of sodium alginate, and the second network is formed by radical polymerization of unsaturated monomers. The second network is formed by radical polymerization of unsaturated monomers, and the double-network hydrogel is formed by cooperation of sodium alginate, so that the ion conductive hydrogel has excellent mechanical properties. The ion salts are added in the double-network hydrogel, and especially, an alcohol / water binary solvent system is introduced. Due to strong ion hydration and strong hydrogen bond interaction between water molecules and alcohol, ice crystallization is inhibited, so that the hydrogel still has good flexibility and conductivity below zero degrees.

The invention belongs to the technical field of foundation settlement monitoring, and discloses a layered monitoring device and method for deep foundation settlement, a combined system of springs and steel strings is innovatively adopted, the measuring range and the application range of a vibrating wire type monitoring structure are expanded, and checking calculation results show that the vibrating wire type monitoring structure can meet the requirement for foundation deformation monitoring; a hard plastic anchoring plate is adopted, traditional point contact anchoring is converted into a surface bearing mode, it is ensured that the device and a soil layer are integrally solidified and synchronously settled through backfill soil pressure, mechanical transmission errors caused by indirect measurement are effectively eliminated, and the physical authenticity and precision of monitoring data are remarkably improved; the vibration excitation and vibration pick-up integrated module is used for converting tiny deformation into high-stability frequency signals with high anti-interference capacity, dependence on manual on-site reading is eliminated, and all-weather and unattended automatic real-time monitoring of foundation settlement is achieved.

The invention provides an epoxidized soybean oil-binary acid bio-based dynamic polymer, a preparation method thereof and a paper-based strain sensor packaged by the epoxidized soybean oil-binary acid bio-based dynamic polymer. The preparation method of the dynamic polymer comprises the following steps: (1) taking epoxidized soybean oil as an epoxy monomer, aliphatic dibasic acid as a flexible monomer and aromatic dibasic acid as a rigid monomer, and carrying out polymerization reaction in the presence of a transesterification catalyst to obtain a dynamic polymer prepolymer; the aliphatic binary acid comprises succinic acid, adipic acid and sebacic acid; (2) removing bubbles from the dynamic polymer prepolymer; and (3) carrying out thermal curing on the dynamic polymer prepolymer to obtain the epoxidized soybean oil-binary acid bio-based dynamic polymer. The epoxidized soybean oil-binary acid bio-based dynamic polymer has good mechanical properties and hydrophobicity, a paper-based strain sensor based on the epoxidized soybean oil-binary acid bio-based dynamic polymer also has good mechanical properties and hydrophobicity, and the sensor has certain application potential in the field of human motion monitoring.

Flexible and scalable miniature capacitive and inductive strain sensors, as well as methods for fabricating such strain sensors are described herein. According to an example, a flexible capacitive strain sensor can include a stretchable center core and two parallel wires wound about the stretchable center core, forming a double helix structure. Each of the two parallel wires can be embodied as an insulated or an uninsulated copper wire and the stretchable center core can be embodied as a polyester elastic string. The two parallel wires can be wrapped around the stretchable center core in a gapless fashion and with a winding angle of less than 45 degrees with respect to the stretchable center core.