937results about "Electrical/magnetic solid deformation measurement" patented technology

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 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.

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 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.

The invention relates to the technical field of mining face rock movement data analysis, in particular to a coal mine surface deformation monitoring method. The method specifically comprises the steps that a ground rock movement observation control network is established, and ground control points are arranged for combined measurement; a ground rock movement observation station is established, rock movement observation lines are set, and observation points are buried; the observation points are comprehensively measured before mining, and original observation data are obtained; during mining, collecting observation data in real time, and calculating and drawing deformation analysis after mining of the working face; and calculating surface movement parameters according to the observation data. According to the method, the technologies of GNSS-RTK observation, airborne LiDAR monitoring, InSAR monitoring and the like are utilized, modeling is conducted on the surface form before stoping, a database is established, along with stoping, real-time data and modeling data are compared, and the deformation amount is calculated. And large-area, all-weather and continuous observation of data can be realized, so that the research level of the surface movement rule of the mountainous area is further improved.

The invention discloses a battery deformation monitoring method and device, a storage medium and computer equipment, and the method comprises the steps: enabling a flexible capacitive sensor to be attached to the surface of a target monitoring battery, and sensing the capacitance change caused by the deformation of the battery; the capacitance change is converted into a frequency signal through an LC oscillation circuit; a high-speed comparator is adopted to convert the frequency signal into a square wave; and the microcontroller captures the frequency of the square wave and inversely calculates the capacitance value, the capacitance change rate is calculated by combining a sliding window algorithm, median filtering and a temperature compensation technology, and if the capacitance change rate exceeds a preset threshold value, the battery deforms, so that the high-accuracy and high-reliability real-time monitoring and early warning effects on the battery deformation phenomenon are achieved.

The invention discloses a fan structure deformation monitoring method based on distributed millimeter-wave radars, and relates to the technical field of detection, and the method comprises the steps: arranging at least two millimeter-wave radar nodes at the bottom of a fan tower in a non-intrusive manner, and controlling the emission time sequence of each radar through a unified PWM trigger signal and a preset time delay matrix, co-frequency interference is eliminated, and multi-radar cooperative detection is ensured; performing distance-Doppler FFT processing on echo signals acquired by each radar node, generating local point cloud data in combination with incoherent accumulation and a constant false alarm detection algorithm, and converting polar coordinates into rectangular coordinates to form a three-dimensional point cloud model; performing iterative registration on the local point clouds of the multiple radar nodes based on an ICP algorithm, unifying the local point clouds to a global coordinate system of a fan tower footing, and fusing to generate a complete fan structure three-dimensional point cloud field; and calculating a point-to-point distance difference between the historical reference point cloud and the current point cloud, counting a mean value and a maximum value, and judging whether deformation early warning is triggered or not according to a preset threshold value.

The present application relates to the technical field of flexible sensor, and discloses a flexible large-strain sensor, a preparation method and application, aiming to solve the problems of small range, poor adhesion of traditional sensors in large-strain monitoring of solid engine grain and other soft materials, and poor signal linearity and repeatability, complex preparation process and high cost of existing flexible sensors. A polymer film is used to make a flexible insulating substrate; a conductive film is prepared on the flexible insulating substrate to form a composite film layer structure; according to a preset pattern of the conductive film, laser etching and scribing are performed on the conductive film according to a first type of vector track, only penetrating the conductive film, to divide out strain resistance and other resistance, forming an off-axis serpentine structure; according to a preset pattern of the flexible insulating substrate, laser etching and scribing are performed on the composite film layer structure according to a second type of vector track, penetrating the composite film layer structure, to etch out the flexible insulating substrate of the sensor; lead-out wires are welded on the lead-out electrodes and encapsulated to obtain the flexible large-strain sensor.

The invention relates to the technical field of risk analysis, in particular to a water conservancy project risk assessment method based on big data, which comprises the following steps: acquiring deformation and water level signals and converting the signals into a sequence, generating an original monitoring sequence based on a timestamp, identifying a whole process span and intercepting and generating a periodic data set, generating a complete monitoring sequence by using interpolation filling, constructing a water level displacement closed curve, calculating a vector product difference value to obtain a geometric area, calculating an arithmetic mean value to generate a centroid coordinate, obtaining a dissipated energy increase coefficient and a structure permanent deformation cumulant, and generating an evaluation result based on threshold comparison. According to the method, the two-dimensional phase space model is established, the structure response is converted into the closed trajectory curve, the hysteresis loop area and centroid offset are calculated, energy dissipation and deformation accumulation of the structure under cyclic loading are quantitatively represented, abnormal plastic damage is effectively stripped, and early recognition of the potential irreversible damage risk of the structure is achieved.

Systems and methods are provided for determining a deformation event in a battery pack. The battery pack may comprise a conductive path coupled to a first electrical connector and a second electrical connector. Processing circuitry may be configured to detect a change in an electrical characteristic of the conductive path indicating a transition from a first circuit state of the conductive path to a second circuit state of the conductive path. The processing circuitry may be configured to determine, in response to the detecting, a deformation event in the battery pack.

Sensor modules mountable on a wheel are described with methods of use. A sensor module for a wheel includes a base module mountable to a rim. The sensor module further includes a first set of piezoelectric sensors coupled to the base module at a first side and a second set of piezoelectric sensors coupled to the base module at a second side. A method includes receiving a first force from a tire on a piezoelectric sensor mounted on a rim, the force resulting from an inflation of the tire and causing a first strain on the sensor. The method further includes receiving a second force on the sensor corresponding to a deformation of the tire due to surface contact, where the second force causes a second strain. The method also includes generating wheel data from electrical signals produced by the sensor; and transmitting the wheel data to a remote device.

The invention discloses an open-pit mine slope deformation stage judgment method based on GNSS monitoring data, and belongs to the technical field of open-pit mine slope disaster prevention and control. According to the invention, dynamic perception of the whole slope deformation process is realized by combining multipoint GNSS monitoring real-time data acquisition and an intelligent processing algorithm. Compared with a traditional mode depending on single-point displacement or intermittent observation, the method has the advantages that trend change in the slope deformation process can be effectively captured by building a dynamic model of the displacement rate angle and the slope of the displacement rate angle, particularly, the abnormal state can be recognized in advance in the accelerated deformation stage, the sensitivity and accuracy of deformation stage judgment are remarkably improved, and the method is suitable for popularization and application. The method is suitable for complex working conditions of strip mines; the method for analyzing the displacement rate angle and the slope A value of the displacement rate angle is compatible with equal-interval and non-equal-interval sampling data, so that the algorithm has good universality and field adaptability, and the analysis requirements under different monitoring devices and data sampling frequencies are met.

The invention discloses a deep displacement monitoring method and device based on a GNSS (Global Navigation Satellite System) and an array type flexible inclinometer, and relates to the field of geological survey, and the deep displacement monitoring method comprises the following steps: acquiring earth surface deformation displacement at a drill hole by adopting GNSS equipment; corresponding deep dip angle change values are measured based on three-axis acceleration sensor modules arranged on the upper portion and the lower portion in the array type flexible inclinometer respectively; collecting the earth surface deformation displacement and the deep dip angle change value by using a controller, and forming sequence data after adding a time attribute; an absolute displacement value of each three-axis acceleration sensor module is calculated by using a differential accumulation method; performing displacement fitting on the section where the three-axis acceleration sensor module is not arranged by adopting a function fitting method with constraint conditions; connecting the upper actual measurement displacement curve, the middle fitting displacement curve and the lower actual measurement displacement curve to generate a complete deep displacement monitoring image; a complete deep displacement monitoring image can be generated without a full-depth sensor, and the equipment cost is greatly reduced.

The present disclosure provides a battery. The battery includes a case formed of a conductive material, a sensing member attached to one surface of the case and including a conductor formed of a conductive material and a dielectric having at least a part thereof disposed between the case and the conductor, and a monitoring circuit electrically connected to the conductor and the case, wherein the monitoring circuit may monitor whether the battery is deformed based on an amount of change in a capacitance formed between the conductor and the one surface of the case.

The invention belongs to the technical field of superconducting materials, and discloses an internal tin method Nb3Sn superconducting wire integrated with a piezoelectric sensing function and a preparation method of the internal tin method Nb3Sn superconducting wire. According to the method, a piezoelectric functional layer and a dielectric layer are prepared on the surface of a SnAl alloy rod, a CuAg alloy rod is installed after drilling to form a composite rod, the composite rod is inserted into an inner tin method Nb3Sn / CuNb composite pipe to be drawn into a subcomponent, then the subcomponent is bundled and installed into a Ta pipe and an oxygen-free copper pipe, and the wire is prepared through multiple times of stretching. The piezoelectric functional layer can convert micro strain into measurable electric signals, in-situ real-time monitoring of mechanical stress and the like in the wire rod is achieved, the CuAg alloy bar can stabilize the tensile strength of the wire rod and promote generation of an Nb3Sn phase, and on the premise that the superconducting performance is not affected, the operation reliability and safety of the high-field magnet under the extreme working condition are improved.

The invention belongs to the technical field of space geodetic survey observation data inversion regional land water reserve change, and provides a method and related equipment for inversion of land water reserves based on a Slepian basis function combined with GNSS three-dimensional deformation, and the method comprises the steps: obtaining vertical and horizontal deformation observation values of GNSS through simulation; determining a Slepian primary function of the target area according to the boundary data and a preset maximum expansion order, and further determining a function relationship between a Slepian coefficient of GNSS three-dimensional deformation and a Slepian coefficient driven by mass load change; determining an observation equation according to the function relationship, and resolving the observation equation by adopting least square joint adjustment; and according to the Slepian coefficient driven by the mass load change, carrying out inversion on the regional land water reserves of the target region to obtain a regional land water reserve change result. The method has the beneficial effect that the precision and efficiency of regional land water reserve inversion are improved.

A system for measuring battery dilation. The system includes a battery cell, a magnet, and a magnetic force sensor. One of the magnet and the magnetic force sensor moves in response to expansion of the battery cell during dilation of the battery cell. The other of the magnet and the magnetic force sensor is stationary relative to the battery cell. The magnetic force sensor is configured to sense a change in magnetic force strength between the magnet and the magnetic force sensor. A control module is in communication with the magnetic force sensor. The control module is configured to measure degree of dilation of the battery cell based on the change in the magnetic force strength between the magnet and the magnetic force sensor. The magnetic force strength between the magnet and the magnetic force sensor changes as the battery cell expands during dilation.

The invention relates to the field of radio navigation, and discloses a multi-parameter early warning method and system based on ground disaster monitoring equipment, and the method comprises the steps: obtaining rainfall, soil moisture content and environment temperature and humidity parameters, and gradually displaying the generated carrier fluctuation and environment disturbance through a collection process; performing time period-by-period arrangement on the multi-parameter sampling data, and extracting corresponding satellite positioning residual errors and environment variable amplitudes when instantaneous fading, rainfall pulsation and soil moisture change superposition occur in a satellite link; performing section-by-section deconstruction on the base line of the bottom layer, and combining displacement change, rainfall sudden increase and soil humidity fluctuation of adjacent monitoring points to construct an abnormal identification surface for evaluating the reliability of satellite positioning; re-regularizing the interference degree of the hidden signal gap on the satellite resolving link according to a time sequence; and carrying out delayed abduction on the pushing trend of slight deformation of the slope body. The method has the advantage of improving the reliability of ground disaster monitoring based on satellite positioning.

The invention discloses an FPC film strain gauge and a manufacturing method thereof. The strain gauge comprises a flexible insulating substrate, a specific-component copper-nickel alloy layer (with 55% of Cu and 45% of Ni and the thickness of 1-5m) sputtered on the flexible insulating substrate, a plurality of independent sensitive grids etched on the alloy layer and arranged along different directions, and a signal lead on the other surface of the substrate, wherein the flexible insulating substrate is connected with the specific-component copper-nickel alloy layer through a via hole with a metalized hole wall. The manufacturing method comprises the steps of drilling, three-step plasma treatment, magnetron sputtering of alloy, electroplating of copper to reinforce the hole wall, double-sided photoetching and etching and the like. Through glue-free sputtering combination and a specific alloy formula, the problems of glue layer aging and temperature drift of a traditional strain gauge are solved, and the product has the advantages of being ultrathin, flexible, high in stability, high in precision and suitable for batch production.

The invention relates to the technical field of frozen soil monitoring, in particular to an InSAR frozen soil deformation monitoring method based on U test and a multilevel network construction strategy, which comprises the following steps: for a target frozen soil region, selecting PS candidate points through an amplitude deviation index and acquiring interference phases of the PS candidate points; u inspection is adopted to identify a homogeneous pixel set, an EMI method is adopted to carry out time sequence phase optimization processing, goodness of fit is adopted to measure the quality of an optimal phase estimation result, and DS candidate points and interference phases thereof are obtained; a multi-level network construction strategy is adopted, high-quality PS candidate points and DS candidate points construct a first-level resolving network, and the remaining candidate points gradually construct a second-level resolving network for parameter resolving; and separating frozen soil deformation from the unwrapping phase of each measurement point obtained from the multi-level network construction strategy by adopting joint parameter modeling. According to the invention, the precision of the deformation parameter calculation result of the frozen soil region and the spatial density of the measurement points are obviously improved, so that the frozen soil deformation monitoring quality is obviously improved.

The present strain gauge includes a substrate and a resistor formed on the substrate. The resistor is made of a material mainly composed of Cr. A film thickness of the resistor is 200 nm or greater such that the strain gauge has a transverse sensitivity ratio of 70% or less and a gauge factor of 5 or greater.

The invention relates to the technical field of flexible electronic sensors, in particular to a large-strain interdigital capacitive sensor based on liquid metal conductive paste, which comprises a flexible substrate, and the flexible substrate comprises a bottom packaging layer and a top packaging layer integrally connected to the upper surface of the bottom packaging layer. A liquid metal interdigital electrode is embedded between the bottom packaging layer and the top packaging layer, the liquid metal interdigital electrode is formed after liquid metal conductive paste is subjected to laser ablation patterning, the end of the liquid metal interdigital electrode is connected with a flexible wire, and one end of the flexible wire extends to the outside of the flexible substrate; the liquid metal conductive slurry is paste conductive slurry which is rich in oxide and is formed by mechanically stirring and oxidizing liquid metal; the liquid metal is gallium-based liquid metal; the problems that an existing flexible strain sensor cannot meet the large strain measurement requirement and is poor in stability and complex in preparation process are solved.

The invention provides an intelligent construction safety monitoring system and method for a U-shaped stacked box rigid frame aqueduct, and the system is suitable for the U-shaped stacked box rigid frame aqueduct for hanging basket construction, and comprises a sensing layer which is used for collecting the stress state of a hanging basket; the environment monitoring unit is a micro weather station mounted on an upper cross beam of the hanging basket; the posture monitoring unit is used for monitoring the lateral and longitudinal inclination angles of the hanging basket in real time; the execution layer comprises a catenary anti-overturning device arranged behind the rear anchor point of the hanging basket, the catenary anti-overturning device comprises a hinged steel chain, and the hinged steel chain and the foundation anchoring end form a catenary structure; the control layer comprises an edge computing terminal and a threshold library in which early warning thresholds are stored, and the edge computing terminal is used for receiving the data of the sensing layer in real time, performing multi-source data fusion analysis and judging whether an early warning or emergency mechanism is triggered or not according to an analysis result; and the interaction layer comprises a visual platform, and the visual platform is used for carrying out fusion display on the monitoring data and the BIM model and presenting the risk level in a color coding mode.

The invention provides an earth surface deformation inversion method based on an overlapping region splicing InSAR deformation field. The earth surface deformation inversion method comprises the following steps: firstly, acquiring multiple frames of LOS images, image frame information and GNSS observation data in a research region range; classifying the LOS images to obtain a same-track data set, and screening overlapped regions to obtain the overlapped regions of the same track and corresponding GNSS station data; an observation equation is constructed to solve and eliminate errors of the same-rail data, and the same-rail data are spliced; performing spatial interpolation and projection on the GNSS three-dimensional deformation observation data to obtain GNSS three-dimensional deformation projection data; in combination with GNSS three-dimensional deformation projection data, weighted balancing of an error plane is carried out, and adjacent orbit data splicing is executed; earth surface three-dimensional deformation inversion is carried out, earth surface three-dimensional deformation data are obtained, strain rate data are calculated, and an evaluation result of earth surface three-dimensional deformation inversion is obtained. According to the method, the precision of three-dimensional deformation inversion of the earth surface is improved.

Disclosed herein is an article of smart clothing which automatically recognizes body configuration and motion. This smart clothing includes inertial motion units which are distal relative to selected joints and also sets of strain sensors which span those joints. The type of energy transmitted through a strain sensor can be electrical energy or light energy. Combined multivariate analysis of data from both inertial motion units and strain sensors provides more accurate recognition of body configuration and motion than data from either alone.

The present strain gauge includes a substrate and a resistor formed on the substrate. The resistor is made of a material mainly composed of Cr. A line width W and the film thickness T of the resistor are in a relationship of satisfying an expression (1) below such that the strain gauge has a transverse sensitivity ratio of 70% or less and a gauge factor of 5 or greater. w≤0.0177t2+0.1521t+2.9541—(1). In the expression (1), w=log W and t=log T.

The invention relates to the technical field of flexible electronic sensors, in particular to a flexible large strain sensor for crack detection and a preparation method thereof.The flexible large strain sensor comprises a skeleton-shaped packaging layer, the packaging layer comprises two rigid fixing ends, and the two rigid fixing ends are integrally connected through a sensitive unit section; a rigid reinforcing structure is embedded in each rigid fixing end, mechanical fixing holes are formed in each rigid fixing end and the corresponding rigid reinforcing structure in a penetrating mode, interdigital capacitor electrodes are embedded in the sensitive unit sections, and the interdigital capacitor electrodes are made of flexible conductive materials through laser ablation. The end part of the interdigital capacitor electrode is connected with a flexible extension wire, the tail end of the flexible extension wire is connected with an external lead, and the external lead is embedded between the packaging layer and the upper surface of the rigid fixed end; the problems that an existing flexible sensor is unstable in installation, contradictory in measuring range and precision and poor in environmental adaptability in structural crack detection are solved.

The invention relates to the technical field of bearings, in particular to a bearing simulation correction system and method based on actual measurement stress of a hollow roller. The control module is used for comparing the simulation stress value, calculated by the bearing digital simulation module, at the corresponding position of the hollow roller with the actually-measured stress value, output by the signal processing and stress calculation module, of the roller, performing parameter inversion and correction, and reversely adjusting key uncertain parameters in a simulation model based on a comparison result, so that a simulation result continuously approaches to actually-measured data; the simulation correction and feedback module is used for receiving and updating the corrected parameters to obtain a high-confidence simulation model verified by actually measured stress, and the high-confidence simulation model is used for deep stress analysis, life prediction and / or health state monitoring of the bearing under other working conditions. Measurement is direct, and the source is accurate; closed-loop correction is achieved, and the model is credible.