3987results about "Electrical/magnetic solid deformation measurement" patented technology

Disclosed is a three-dimensional deformation field modeling method fusing global navigation satellite system (GNSS) / synthetic aperture radar interferometry (InSAR) observation data. The three-dimensional deformation field modeling method includes: five parts of solving an InSAR line-of-sight velocity field, unifying a spatial reference datum of the GNSS data and the InSAR data, verifying precision of a result of the InSAR data, solving a three-dimensional deformation field having high precision based on a least square method, and analyzing and verifying a result. According to the method, the InSAR data is processed according to a high-precision time series method, a long-wavelength error of the InSAR data is corrected on the basis of a difference of two data spatial reference datums, and the accuracy of the result is ensured through verification of internal coincidence precision.

The invention provides a slope deformation monitoring method and device based on multi-source data fusion, and relates to the technical field of dam slope safety monitoring. The method comprises the steps that a multi-source monitoring system composed of a global satellite signal receiver, a measuring robot and an interference synthetic aperture radar is arranged in a dam slope area; according to the collected slope deformation disturbance parameters, performing monitoring area selection division on a dam slope area; determining a data fusion weight corresponding to each data fusion observation area; collecting multi-source monitoring data in each data fusion observation area; and based on the determined data fusion weight, performing weighted fusion processing on the multi-source monitoring data in the selected area to generate a slope deformation monitoring result. According to the technical scheme, fusion of multi-source monitoring data is realized through region division, the reliability, comprehensiveness and environment adaptability of slope deformation monitoring data are improved, and the stability, accuracy and precision of a slope deformation monitoring result are improved.

The invention relates to the technical field of geological disaster monitoring and early warning, and discloses a railway tunnel portal geological disaster deformation early warning system based on an SAR radar, and the system comprises a digital twinborn body construction module which constructs a digital twinborn body with initial parameters based on basic data; the SAR deformation monitoring module is used for acquiring SAR deformation observation data; the digital twinborn body dynamic optimization module is used for inverting and updating parameters by using an optimization algorithm based on the SAR data, and generating an optimized twinborn body; a risk prediction and key area identification module which deduces a disaster scene based on the optimized twinborn body, predicts the risk and identifies a key risk area; and the intelligent early warning module is used for generating early warning information based on the prediction risk and the key risk area. According to the method, the geomechanical digital twins are dynamically optimized by adopting the SAR data, accurate prediction, key area identification and intelligent grading early warning of the geological disaster of the railway tunnel portal are realized, and the initiative and accuracy of risk cognition and early warning are remarkably improved.

The invention, which relates to the industrial circuit board monitoring technology field, discloses an industrial circuit board operation abnormity monitoring system comprising a multi-sensor welding spot data acquisition module, a signal processing module, an element welding spot mechanical fatigue monitoring module, a welding spot fatigue fault grading early warning module, and an early warning and response module. Data fusion is carried out on the acoustic emission sensor, the strain gauge sensor and the ultrasonic sensor, the state of the welding spot is monitored synchronously from three dimensions of stress acoustic emission, mechanical deformation and internal defects, the strain gauge sensor captures tiny deformation around the welding spot, and the ultrasonic sensor detects internal potential defects. The acoustic emission sensor senses stress release signals, the three kinds of sensor data are subjected to deep fusion analysis through the D-S evidence theory, the problem of misjudgment caused by one-sided information is effectively avoided, stress waves during crack propagation are captured through the acoustic emission signals, and faults can be diagnosed in time in combination with deformation data of the strain gauge sensor.

Disclosed is an earphone including: two speaker assemblies, a connection member, and a processing circuit. The connection member is configured to connect the two speaker assemblies, and the connection member provides, through a bending deformation, a clamping force for placing the two speaker assemblies on a head of a user, and the connection member includes a housing with an accommodation cavity. A bending sensor is disposed in the accommodating cavity, and the bending sensor is configured to generate a bending signal based on a bending state of the connection member. The processing circuit is configured to determine a placement state of the earphone based on the bending signal. The placement state includes one of a normal wearing state, an abnormal wearing state, or a free placement state.

The invention provides a building construction site safety monitoring and early warning method and system based on the Internet of Things, and relates to the technical field of data processing.The method comprises the steps that a three-base-point dynamic topological structure is established in a target monitoring domain, a first datum point is arranged at the extension end of the axis vertical line of a slewing bearing of a tower crane, and a second datum point is arranged at the extension end of the axis vertical line of the slewing bearing of the tower crane; the second datum point is embedded in the radial section of a force bearing flange plate of the hydraulic jacking module, the third datum point is fixedly connected to the intersection joint of a deep foundation pit top beam and a supporting system, and a non-collinear vector set is constructed through three-point coordinate offset; and based on the non-collinear vector group, deformation compensation correction is performed on the dynamic calibration parameter set through a vector space topological transformation algorithm, a topological reconstruction data stream containing a displacement gradient tensor and strain energy density is generated, and a risk situation feature space is constructed based on the topological reconstruction data stream. According to the invention, the intelligent construction safety management is realized.

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 present invention belongs to the field of sensors, and relates to an ion gel film with a microstructure on the surface, a preparation method, and an ion-type sensor. The preparation method comprises: sandblasting on a precursor substrate to obtain a substrate, forming a mixed solution of a polymer and an ionic liquid on the substrate to obtain a wet film, and drying and curing the wet film to obtain an ion gel film, wherein the precursor substrate has an arc-shaped recess array, and the sandblasting conditions include: the sandblasting particle size is 5000 mesh to 10000 mesh, and the sandblasting pressure is 2 bar to 10 bar. The ion gel film is used for an ion-type sensor, which can improve the detection sensitivity of the sensor.

Atmospheric compensation method and apparatus for a ground-based synthetic aperture radar, an electronic device, and a storage medium. The method comprises: acquiring a two-dimensional radar multiple scattering image sequence of a target monitored area by means of a ground-based synthetic aperture radar, so as to acquire a first permanent scatterer (PS) point set (S110); on the basis of a preset atmospheric parameter model and a PS point interference phase of the first PS point set, performing atmospheric compensation on the PS point interference phase by means of an estimated atmospheric error phase (S120); determining a residual phase threshold and an accumulated deformation threshold, so as to screen the first PS point set to obtain a second PS point set (S130); and returning to execute the operation of performing atmospheric compensation on the PS point interference phase by means of the estimated the atmospheric error phase to obtain a new residual phase threshold until the ratio of the new residual phase threshold to the residual phase threshold exceeds a preset variation threshold (S140).

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 ground surface settlement monitoring method and system fusing Beidou and InSAR data. The method comprises the following steps: receiving positioning data from a Beidou satellite system and earth surface deformation data acquired by a synthetic aperture radar interference measurement system; based on the positioning data and the earth surface deformation data, correcting the earth surface deformation data according to the environmental factors through a space-time fusion model to obtain corrected earth surface deformation data; by means of the corrected surface deformation data, a multi-stage analysis technology is adopted, the development trend of surface subsidence is determined, a surface subsidence distribution diagram is generated, and the surface subsidence distribution diagram is used for displaying spatial distribution characteristics of surface subsidence; and according to the ground surface settlement distribution diagram, the future ground surface settlement condition is monitored by using the space-time fusion model, and a ground surface settlement monitoring report can provide a scientific basis for early warning and prevention of geological disasters. The ground surface settlement monitoring efficiency and monitoring effect are improved.

The invention discloses a tower foundation landslide monitoring method, system and device and a medium. The method comprises the steps that InSAR data and GNSS data are fused to conduct wide-area deformation monitoring, a quadratic fitting model is established to conduct error dynamic correction on InSAR observation values, and a potential landslide hidden danger area is recognized; the method comprises the following steps: performing multi-dimensional cooperative monitoring on a potential landslide hidden danger area through an unmanned aerial vehicle carrying a sensor, and fusing multi-source data by utilizing edge computing equipment to generate a landslide risk thermodynamic diagram; an active waveguide acoustic emission system is adopted to capture landslide deep deformation signals, and early warning is achieved through ringing counting and acoustic emissivity parameters. According to the invention, the InSAR and GNSS technologies are fused, and the Kalman filtering algorithm is combined, so that the precision of surface deformation monitoring is improved; the InSAR observation value is constrained and corrected through the GNSS observation value, so that the deformation monitoring precision is improved; more accurate data support is provided for landslide monitoring through the unmanned aerial vehicle carrying sensor equipment; powerful support is provided for early warning of landslide disasters through an active waveguide acoustic emission technology.

The invention belongs to the field of intelligent soft materials, and discloses conductive eutectic gel with self-adhesion, wide-temperature strain sensing and high sensitivity as well as a preparation method and application of the conductive eutectic gel. The eutectic gel is prepared from polydopamine, polyvinyl alcohol, a polymer monomer, a eutectic conductive agent (which is prepared by adding ethylene glycol and a conductive agent into a polyvinyl alcohol solution and stirring), a cross-linking agent, an initiator and water. Strain sensing related tests prove that the gel has excellent sensitivity and strain sensing performance, and has application potential in the fields of high and low temperature severe environment monitoring, human health monitoring and motion monitoring.

The invention relates to the field of bridge monitoring, and particularly discloses a crack monitoring system for a fixed end of a steel-concrete composite beam. The method is used for solving the problems that multi-source information fusion, hot spot stress on-line accurate calibration, fatigue life real-time accurate evaluation, S-N curve dynamic correction and remote visual early warning are difficult to realize in crack monitoring of a fixed end of an existing steel-concrete composite beam under complex load and environmental interference. Comprising a multi-sensor data acquisition module, an edge preprocessing module, a data fusion and damage identification module, a hot spot stress calibration module, an early warning decision module, a visual remote communication module and a digital twinborn calibration module. According to the invention, through integration of multi-sensor synchronous acquisition, edge intelligent preprocessing, multi-source data fusion, online hot spot stress calibration and digital twinborn calibration, Monte life prediction and early warning and hybrid energy management, high sensitivity, low power consumption and accurate early warning of steel-concrete composite beam fixed end crack monitoring are realized.

The invention provides a railway roadbed deformation early warning grade determination method and system and a storage medium, and the method comprises the steps: obtaining the deformation monitoring data of a railway roadbed, fitting the deformation monitoring data through a curve trend prediction model, and obtaining a deformation trend continuous feature, discretizing the deformation trend continuous characteristics to obtain a plurality of deformation trend intervals; on the basis of the roadbed settlement values of the data points in the deformation trend intervals, feature values of the multi-dimensional deformation statistical indexes of all the deformation trend intervals are obtained, and for each deformation statistical index, the feature values of the deformation statistical indexes of all the deformation trend intervals are compared, so that deformation feature values of the corresponding deformation statistical indexes are obtained; and calculating a correlation coefficient between the deformation characteristic value of each deformation statistical index and the deformation center characteristic value corresponding to each deformation statistical index, performing integration to obtain a total correlation coefficient, and determining a deformation early warning grade of the railway roadbed based on the size of the total correlation coefficient. According to the invention, early warning of railway roadbed deformation can be realized.

To increase stability of gauge characteristics in a strain gauge having a resistor on a flexible base material.SOLUTION: A strain gauge includes: a flexible base material; a functional layer on one surface of the base material made of metal, an alloy, or a metal compound; and a resistor on one surface of the functional layer made of a material containing at least one of chromium and nickel.SELECTED DRAWING: Figure 2

The invention provides a millimeter wave radar-based bridge deformation monitoring method and system, and the method comprises the steps: obtaining a transmitting signal and an echo signal of a radar, and carrying out the preprocessing of the signals, and obtaining an intermediate frequency signal; processing the intermediate frequency signal by adopting matched filtering and a zoomFFT algorithm to obtain target distance information; processing the intermediate frequency signal by adopting a MUSIC algorithm to obtain target angle information; and obtaining a target distance angle unit by combining the target distance information and the target angle information, and obtaining target deformation information by adopting phase difference and phase unwrapping. According to the invention, the interference of noise and background can be avoided, the deformation displacement of the target area can be accurately calculated, and the real-time monitoring and analysis of the deformation state of the bridge can be realized.

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.

Disclosed are various embodiments for a sensor enabled geogrid for the monitoring and detection of subgrade deformation in infrastructure such as roadways, railways, working platforms, and marine applications. The system and methods contain a sensor enabled geogrid, inertial measurement units (IMUs), one or more sensors, a data collection apparatus such as a sensor pod, an information transmission apparatus such as a gateway device, a communications network, and a computing device capable of performing analytics on information from the IMU's and other sensors. The disclosure further includes methods of processing information received from a sensor enabled geogrid by a sensor pod. In the example, the sensor pod transmits received information to a gateway device for transmitting to a backend computing system. The backend computing system then performs an analysis on the information to determine variance from an initial sensor position, and alerts of possible infrastructure failure.

The invention provides a method for testing the dynamic strain of the surface of a rotating body in an electromagnetic environment. The method comprises the following steps: constructing a bridge by using strain gauges and acquiring dynamic characteristic data of the rotating part under actual constraint conditions; performing simulation calculation according to the dynamic characteristic data, and determining the optimal pasting position of the strain gauge; pasting a strain gauge and formulating a wiring scheme of a strain gauge wire; the strain gauge is connected with a voltage signal amplifier, the amplified signal is connected with a data acquisition system through a conductive slip ring, and the amplified strain signal is recorded and processed; acquiring strain signals in real time and taking the strain signals as test data, and performing whole-course test in a full-rotating-speed range to complete dynamic strain test on the surface of the rotating body. The system has high sensitivity, the sensitivity and the measurement precision of the system are improved through full-bridge configuration, larger output signals are provided, the full bridge can achieve temperature compensation through symmetrical circuit design, and the system has good linear output characteristics and facilitates signal processing and analysis within the strain range.

The invention belongs to the technical field of underground engineering, and discloses an omnibearing intelligent monitoring system, method and device for an underground anchoring pull-out test. According to the method, electromagnetic signals generated in the stress process of the anchor rod are captured in real time through an electromagnetic sensor, and internal stress changes and energy distribution are reflected; the deformation and stress states of the anchor rod in the dynamic environment are evaluated through a strain gauge and accelerometer combined data combination method, the deformation condition of the anchor rod is monitored through the strain gauge, and the stress-strain relation is recorded; an accelerometer is used for detecting the dynamic response of surrounding rock mass so as to evaluate the overall stability of the rock mass; a coupling medium is injected, the computer terminal stores the collected signals locally or in a cloud end and analyzes the signals, stress and deformation parameters in an anchor rod pull-out test are extracted, and an anchor rod stress cloud picture is generated in real time. According to the method, the safety and reliability of underground engineering are remarkably improved, and a new technical support is provided for evaluation of anchoring quality.

The invention provides a battery tray (100; 200) for receiving a battery (20), comprising: a bathtub housing (190; 290); wherein a layer of electrical conductors (130) is arranged on or above a continuous first layer (110; 210) of the tub housing (190; 290) on its concave side, and wherein in the layer of electrical conductors (130) at least on a flat section of the tub housing (190; 290) a plurality of electrically readable deformation measuring structures (140) are formed.

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 discloses a Beidou-based structural deformation monitoring method and system and a storage medium, and relates to the field of deformation monitoring, and the method comprises the steps: obtaining an engineering facility structure of a target monitoring object, carrying out the structural analysis of key parts, and accurately obtaining the dynamic characteristic parameters of the engineering facility structure, the dynamic characteristic parameters reflect response characteristics of an engineering facility structure under different environmental parameters, so that an accurate engineering facility physical model can be established, state prediction is performed by acquiring and inputting real-time monitoring data and combining preset environmental parameters to obtain predicted monitoring data, the predicted monitoring data are compared with the real-time monitoring data, and the real-time monitoring data is compared with the real-time monitoring data. According to the method, the abnormal change of the engineering facility structure can be found in time, the early warning prompt information can be sent to the client when the monitoring difference value exceeds the preset change threshold value, the precision and timeliness of deformation monitoring can be improved, potential structural risks are prevented, and therefore the safety and stability of the engineering facility are guaranteed.

The invention relates to the technical field of synthetic aperture radar interferometry, in particular to an intelligent sea reclamation site deformation monitoring system and method based on InSAR, and the system comprises a data collection module which is used for collecting a multi-temporal satellite-borne SAR image of a sea reclamation area; the data processing module is used for executing sub-pixel matching, orbit error correction, atmospheric delay correction and residual optimization; the model construction module is used for constructing a segmented orbit error model, a tide-humidity coupling model and a dynamic regression model; the verification feedback module is used for verifying leveling precision and dynamically adjusting model parameters; according to the method, by fusing terrain mutability, tide-humidity coupling and soil rheological characteristics of a reclamation scene, accurate correction of multi-source error distribution of orbit errors, atmospheric delay and creep noise is realized, and the problem of insufficient adaptability of a traditional method in reclamation area deformation monitoring is solved; and millimeter-level reliable data support can be provided for cofferdam safety, hydraulic reclamation consolidation and port engineering.

A linear response stretchable resistance strain sensor belongs to the technical field of wearable sensors, is of a three-layer film structure and comprises a stretchable elastic substrate, a middle strain sensitive layer and a stretchable elastic package on the uppermost layer. The nano conductive material network bonded by the trace polymer not only has high conductivity close to that of a pure nano conductive material, but also enhances the mechanical stability of the conductive network. Uniform and random cracks are formed after primary stretching, and a stable structure similar to a plane spring is formed. The strain of the measured object drives the size of the air gap in the crack to change, and the conductive path is changed, so that the resistance is changed. The invention shows the detection capability of the sensor in a strain range of 0.001% to 100%, hysteresis (1.61%), linear response, fast enough reaction speed and extremely low residual resistance. The strain sensor also has stability, pressure insensitivity and waterproofness, and is suitable for long-term accurate monitoring of strain of soft systems such as biological tissues in the field of medical health.

The invention discloses an installation and analysis method of high slope surface deformation monitoring equipment based on a magnetic grid sensing principle, and the method comprises the steps: carrying out the high-precision and continuous monitoring of the deformation of the surface of a slope through a magnetic grid type pull rope displacement sensor, obtaining a displacement change vector field of the surface of the whole slope through the processing and analysis of the monitoring data, and carrying out the installation and analysis of the deformation of the surface of the slope. The deformation field of the whole monitoring area is calculated, based on the result of continuous monitoring and data analysis, the instability criterion for slope surface deformation is provided, and detailed instability risk assessment is carried out. According to the invention, manual intervention can be effectively reduced, interference of external environmental factors is eliminated, and continuous and high-precision monitoring of slope surface deformation is realized.

The invention discloses a displacement auxiliary measuring mechanism and a reservoir dam monitoring and early warning system thereof, and belongs to the technical field of dam monitoring. The reservoir dam monitoring and early warning system comprises a data acquisition module, an attitude calibration module, a data fusion judgment module, a risk grading analysis module and a remote early warning trigger module. The distance measurement precision under the complex field condition is remarkably improved, the current mechanical direction and the reference direction are fused, a correction vector pointing to a target reflection point is generated, the direction drift error is effectively eliminated, and the distance measurement accuracy is improved by constructing a double-path model of main path fusion and auxiliary path comparison. According to the method, non-structural anomalies caused by sensor body interference or environmental disturbance are eliminated, data offset is corrected in real time, a stable trend curve is output, when a main path has a drift or error trend, the main path is automatically guided to converge to an auxiliary path, and the abnormal data recognition and restoration capability is enhanced.

The invention discloses an energy storage battery state monitoring analysis system and method based on flexible strain sensors, and relates to the technical field of energy storage equipment monitoring, the energy storage battery state monitoring analysis system based on the flexible strain sensors comprises a plurality of flexible strain sensors, a measurement module and an analysis module; the plurality of flexible strain sensors are correspondingly embedded among the plurality of battery cells; the flexible strain sensor is used for generating impedance change by sensing the pressure change of the side surface of the battery cell; the plurality of flexible strain sensors are connected with the measurement module; the measurement module is used for collecting impedance data of the plurality of flexible strain sensors; the analysis module is connected with the measurement module; and the analysis module is used for acquiring impedance data based on the plurality of flexible strain sensors for analysis and calculation to obtain an energy storage battery state monitoring analysis result. The hysteresis of energy storage battery state monitoring analysis is reduced, the accuracy of the monitoring result is improved, and the application range of energy storage battery state monitoring analysis is expanded.