321results about "Electric/magnetic detection" patented technology

The present invention relates to a hub (30) arranged to be connected to a steering element of a vehicle; at least one branch (20) attached to a hub (30); a rim (10) attached to said at least one branch (20), said rim (10) comprising: at least one electrical device (14) comprising a substrate (141) covering at least a portion of the core of the rim (10) and supporting at least one electrical conductor (142); At least one trim piece, such as an outer sheath (15), defining an outer surface of the rim (10); at least one layer of a water-based adhesive arranged to attach the trim piece to the rim (10); The present invention relates to a vehicle steering wheel, characterized in that the rim (10) comprises at least one film (13) comprising a polymer, disposed between an electric device (14) and a layer of a water-based adhesive.

The application discloses a downhole large-diameter drilling equipment, which comprises a large-diameter pipe-following drilling machine, a large-diameter pipe-following directional drilling system, a collapsed body metal detection and breaking system and a self-moving multifunctional rescue operation cabin; wherein the large-diameter pipe-following drilling machine is used for efficiently constructing a large-diameter horizontal hole as a rescue passage; the large-diameter pipe-following directional drilling system adopts a first-level, second-level or third-level hole protection mode according to the length of a collapsed body and a stratum; the system can realize efficient drilling and accurate guidance in a complex collapsed stratum, and guarantee that the drilling quality and the drilling track meet the requirements; the collapsed body metal detection and breaking system can finely detect metal components in the collapsed body, determine the accurate position and scale of the metal components, and realize rapid cutting of the metal components; and the self-moving multifunctional rescue operation cabin can be used as an auxiliary obstacle removing at the bottom of a rescue hole to improve the rescue drilling construction efficiency while guaranteeing the safety of personnel in the cabin.

The application discloses a kind of ocean stereo magnetic survey system and method based on unmanned platform, belong to marine detection equipment technical field, including water surface magnetic transverse gradient measurement subsystem, underwater magnetic total field measurement subsystem, ground magnetic diurnal variation observation station and data synchronization and compensation processing center.Processing center, built-in improved 18 items Tolles-Lawson magnetic interference compensation model, real-time solution and eliminate platform constant field, induction field and eddy current field interference.The application is realized through the cooperation of combined navigation and automatic roll reduction device, attitude depth adjustment mechanism, water surface / underwater platform high-precision attitude positioning and attitude keeping;After diurnal variation correction, attitude correction and position calculation, water surface transverse magnetic gradient and vertical magnetic gradient are solved, and water surface-underwater stereo magnetic survey cooperative operation and high dynamic platform magnetic interference real-time compensation are realized, which significantly improves the precision, efficiency and spatial resolution of marine magnetic anomaly detection.

The invention relates to an actuator-sensor device (1) which has at least one upper membrane (2), wherein at least one actuator electrode having a signal input, and at least one unoccupied region in the form of a through-gap, are arranged on the at least one upper membrane (2). The device has at least one central membrane (3), wherein the at least one central membrane (3) has at least one hole-like opening (4). Furthermore, the device (1) has at least one lower membrane (5), wherein at least one actuator electrode having a signal input, and at least one unoccupied region in the form of a through-gap, are arranged on the at least one lower membrane (5). Finally, the device (1) has at least one upper sensor electrode (6) having a head and having a supply line with a signal output, wherein the head of the at least one upper sensor electrode (6) and the supply line of the at least one upper sensor electrode (6) are arranged in the at least one unoccupied region, in the form of a through-gap, of the at least one upper membrane (2), and at least one lower sensor electrode (7) having a head and having a supply line with a signal output, wherein the head of the at least one lower sensor electrode (7) and the supply line of the at least one lower sensor electrode (7) are arranged in the at least one unoccupied region, in the form of a through-gap, of the at least one lower membrane (5).

The application provides a three-dimensional geological modeling method and system for ductile shear zone type gold exploration, and relates to the technical field of gold exploration modeling. The application extracts a plurality of alteration anomaly zones related to gold mineralization hydrothermal alteration by acquiring multispectral remote sensing data of an exploration area; superimposes the anomaly zones to identify a prospecting target area and acquire electrical parameter data such as apparent resistivity and apparent polarization rate; determines the structural geological distribution in combination with surface geological mapping, divides a prospecting unit in space superposition with the target area, sets the electrical parameter range to establish a three-dimensional prospecting unit framework; and obtains the three-dimensional distribution of electrical parameters and the geological unit boundary by jointly inverting the electrical parameters as measured data, the framework and the parameter range, generates a three-dimensional geological model reflecting the spatial distribution of the gold mineralization body, and can accurately depict the spatial distribution of the ductile shear zone type gold mineralization body, thereby supporting efficient exploration.

This invention discloses a method and system for magnet pose estimation based on magnetic dipole constraints. The method includes estimating the initial orientation and position of the magnet based on the triaxial magnetic field vectors measured by each magnetic sensor in a magnetic sensor array to determine the initial estimated orientation unit vector and initial estimated position of the magnet; iteratively solving the initial pose state parameters of the magnet using a nonlinear optimization algorithm based on a magnetic dipole model to obtain the final estimated orientation unit vector; obtaining the position residual and orientation residual using a pre-trained residual neural network model; and compensating the initial estimated position and the final estimated orientation unit vector based on the position residual and orientation residual to obtain the final magnet pose estimation result composed of the magnet orientation. This invention aims to overcome the influence of initial value deviation, sensor error, and environmental interference factors, improve robustness and generalization ability in complex environments, and meet the high-precision pose detection requirements of magnetic positioning.

The utility model discloses a kind of nearshore seabed magnetic field detection systems, including central station control cabinet and seabed detection device;Seabed detection device includes base mechanism, locking mechanism, buoyancy mechanism and magnetic field detection mechanism;Buoyancy mechanism is used to carry out buoyancy support to magnetic field detection mechanism, and magnetic field detection mechanism is used to detect magnetic field;Locking mechanism is used to lock magnetic field detection mechanism, realize the levelness locking of magnetic field detection, and base mechanism is used to support on seabed;Central station control cabinet is electrically connected with magnetic field detection mechanism.The nearshore seabed magnetic field detection system utilizes the cooperation of locking mechanism and buoyancy mechanism, can utilize buoyancy to adjust the levelness of magnetic field detection mechanism, ensure the reliability of magnetic field detection.

The utility model provides a kind of proximity sensor belongs to sensor technical field, comprising: dry reed tube, it includes two connecting pins;Needle seat, two connecting pins pass through needle seat and are fixed with needle seat;Protective shell, it is fixed with needle seat, when needle seat and protective shell are fixed, protective cavity accommodating dry reed tube is formed between needle seat and protective shell;Advantage is in this embodiment, by dry reed tube and needle seat, protective shell and so on plastic piece are assembled to form protective cavity, replace the process of adopting glue potting dry reed tube in traditional technology.Potting glue is reduced in use, production procedure is simplified, material cost and processing cost are reduced;Meanwhile, the problem that production cycle is extended due to long glue curing time is avoided, and assembly efficiency is improved.

The application discloses a time-frequency electromagnetic exploration method and system for improving exploration depth and resolution, and relates to the technical field of exploration. The method comprises the following steps: arranging a multi-directional excitation source and a mobile remote end array observation system, and sparsely collecting time-frequency electromagnetic signals; reconstructing data and reducing noise based on compression sensing; constructing a time-frequency dual-domain joint inversion target function, introducing cross gradient constraints and physical constraints, and realizing intelligent collaborative inversion through depth reinforcement learning; outputting a high-precision three-dimensional geological model through Bayesian uncertainty analysis and multi-source data fusion verification; and the system comprises excitation, observation, data processing, intelligent inversion and interpretation visualization modules. The scheme improves exploration depth and resolution, improves data acquisition and inversion efficiency, and guarantees the accuracy of geological interpretation.

The application belongs to the technical field of satellite ionosphere magnetic field earthquake anomaly extraction, and particularly relates to a satellite magnetic field data earthquake anomaly detection method and system, which comprises the following steps: preprocessing satellite magnetic field observation data and converting the same into time-frequency representation to obtain a non-negative time-frequency amplitude matrix; taking the non-negative time-frequency amplitude matrix as a decomposition object, decomposing the non-negative time-frequency amplitude matrix into a combination of a non-negative weight matrix and a two-dimensional time-frequency convolution template by using a deep expandable convolution non-negative matrix decomposition; extracting a local influence component related to an earthquake based on the decomposition result, performing anomaly orbit determination on the local influence component related to the earthquake; counting the number of anomaly orbits per day and accumulating the number, and determining an earthquake anomaly according to the deviation degree of the accumulated result from a background fitting straight line. The method can suppress global disturbance interference without relying on removing data of strong solar activity or strong geomagnetic activity dates, and improve data utilization rate and detection stability.

The present application relates to oil and gas exploration technology field, disclose a kind of fracture conductivity test method and device of formation condition simulation, the present application is based on similarity criterion selects and actual reservoir and similar material of surrounding rock as model raw material, then according to design size manufacturing surrounding rock model and reservoir model with fracturing fracture;Reservoir model and surrounding rock model are assembled to form reservoir surrounding rock model, and fixedly placed on triaxial loading unit;Reservoir surrounding rock model, triaxial loading unit and fluid injection and monitoring unit and displacement detection unit are connected to form fracture conductivity test experimental device, finally based on the experimental device carries out the fracturing fracture conductivity test experiment of reservoir surrounding rock model, and calculates the fracture conductivity coefficient of model.The present application can more accurately simulate the deformation law of fracture in actual reservoir, provide more accurate parameters for oil and gas reservoir numerical simulation model, so as to more accurately evaluate and calculate gas well productivity.

The application provides a foreign matter detection circuit and a wireless charging system, comprising: a detection module and a judgment module connected; the detection module comprises an LC oscillation circuit; the LC oscillation circuit comprises an inductor coil and a capacitor; when a metal object approaches, the inductor coil generates a mutual inductance signal, thereby causing the impedance of the LC oscillation circuit to change; when a living body approaches, the capacitor generates a mutual capacitance signal, thereby causing the impedance of the LC oscillation circuit to change; the judgment module is used for acquiring the output signal of the detection module, determining the amplitude difference between the output signal and a standard output signal, judging whether the amplitude difference is higher than a preset amplitude difference threshold value, and if yes, determining that a foreign matter exists; the foreign matter is a metal foreign matter or a living body foreign matter. In the mode, the method of arranging the inductor coil and the capacitor in the LC oscillation circuit can realize the identification of the metal foreign matter and the living body foreign matter at the same time, thereby improving the reliability of foreign matter detection, and further improving the safety of the wireless charging system.

The application provides a cross-hole resistivity CT based sliding window inversion method and system. In deep hole data acquisition, the acquisition device designed by the application can automatically wind and unwind the cable, adjust the electrode position, and realize sufficient acquisition of data in the deep hole interval detection area by using a small number of electrodes. In data processing, the detection area is divided into blocks by using a variable window, and each block is independently inverted using the data in the block. After increasing the window, the detection area is divided into blocks again, and the inversion is performed layer by layer from a small area to a large area. The application improves the acquisition efficiency, improves the inversion imaging effect, and realizes effective detection of the deep hole area anomaly body.

The application provides a water disaster exploration method and device for a borehole bottom, a storage medium and a system. The method comprises the following steps: determining current amplitudes of a plurality of transmitting coils according to a preset detection direction, and determining driving signals of the transmitting coils according to the current amplitudes; controlling the corresponding transmitting coils according to the driving signals, and acquiring a plurality of response signals generated by electromagnetic excitation generated by the transmitting coils in the stratum; performing synthesis processing on the response signals to obtain a detection signal sequence of the preset detection direction; and determining whether a water disaster area exists at the borehole bottom according to the detection signal sequence. The application solves the problem that the existing radial exploration technology cannot identify the disaster-causing water body in front of the drill bit in advance during drilling, resulting in the problem of misdrilling through the closed water-bearing area during drilling and causing a water inrush accident.

The application discloses a high-sensitivity metal detection device for neotame production, which comprises a shell, a plurality of vertical pipes in the shell, and a feeding mechanism for conveying materials, a fixed frame is arranged on the inner wall of the shell, a rotating mechanism for driving the plurality of vertical pipes to make circular motion is arranged on the fixed frame, a pneumatic mechanism for blowing gas to the bottom of the vertical pipe is arranged on the rotating mechanism, a sealing mechanism for sealing the top of the vertical pipe is arranged in the shell, an electromagnetic detection sensor for metal detection is arranged below the sealing mechanism, and two discharge pipes penetrate through the top wall of the shell. The electromagnetic detection sensor is arranged, the powder is moved for multiple times, the powder can pass through the detection magnetic field for multiple times, the airflow disturbance can scatter the slight agglomerated powder of the neotame, the tiny metal scraps wrapped by the powder are completely exposed in the magnetic field, and the single-time missed detection probability is greatly reduced.

A method of activating an asset tracker from an ultra-low power transport mode to a motion detection mode. The method includes detecting an activation trigger activity, the activation trigger activity including a double tap of a housing of the asset tracker, touch sensing, optical sensing, and loss of proximity to a proximate object in a packaging of an asset container.

The application discloses a deep learning magnetotelluric data inversion method and device based on sub-region coding, and the method comprises the following steps: dividing an inversion region of magnetotelluric data into multiple coding sub-regions; constructing a training data set according to prior information of the multiple coding sub-regions; training a deep learning model by using the training data set to generate coding with prior regions, and generating coding without prior regions by using direct mapping, so as to re-parameterize a geoelectric model and obtain a re-parameterization result; and optimizing the coding based on the re-parameterization result to realize magnetotelluric data inversion. The application can flexibly embed prior information with different complexities, degrees of certainty and spatial ranges; can adaptively improve inversion effect according to the quality of the prior information; can strengthen the reconstruction resolution in a specific region or direction; and has low complexity and low training calculation amount.

The application belongs to the technical field of capacitive sensing detection, and discloses a metal structure contact detection device and method based on capacitive sensing. The device comprises an elongated sensing electrode and an insulating sheath wrapping the electrode, the sheath forms an exposed sensing area only at one main surface and is configured to be mounted on the metal structure. The application effectively suppresses the motion interference of the metal component and the liquid bridging interference through the geometric constraint design of double isolation protection, significantly improves the reliability and accuracy of the human contact signal detection in the metal structure environment, and has the advantages of simple structure, low cost, easy installation and maintenance.

The application provides an unattended intelligent weighing system, and relates to the field of automobile weighing, and comprises: an entrance module: reminding a vehicle to swipe a card for entering when detecting a vehicle to be entered; a position detection module: monitoring a parking position of the entered vehicle based on a truck scale, comparing a monitoring position result with a standard position result, and determining an abnormal parking position; an indication module: according to an abnormal-indication mapping table, calling indication content matched with the abnormal parking position, and monitoring a position adjustment of an indication behavior of the entered vehicle and weight monitoring in a position adjustment process; and an exit module: when a weight monitoring result meets a preset constraint standard corresponding to the card swiping information, recording a bearing result. Through automatic induction, monitoring and indication, reasonable adjustment of the position of the vehicle is realized, effective weighing of the vehicle is realized, and the weighing error caused by human observation and the excessive human consumption cost are effectively solved.

The utility model relates to a high sensitivity annular proximity sensor belongs to annular proximity sensor technical field, including annular proximity sensor body, annular proximity sensor body upper end one side fixed mounting has annular support plate, the annular support plate upper end is installed with annular mounting plate through the installation component of convenient dismantlement replacement, the upper end of annular mounting plate is opened with annular groove, the annular groove is inserted with feed hopper, installs the protection subassembly in the annular groove, and the protection subassembly includes damping telescopic link and buffer spring, and the damping telescopic link is installed in the annular groove and is circumferentially distributed, and the damping telescopic link free end is fixedly connected with the feed hopper, and one end of buffer spring is fixedly installed in the annular groove, and the other end of buffer spring is fixedly connected with the feed hopper, and the protection of annular proximity sensor body is carried out through buffer spring, prevents its from the collision of metal object and takes place partial damage to improve its service life, and also simultaneously facilitates the installation or dismantling of annular mounting plate, saves time and labour.

The application discloses a magnetotelluric three-dimensional hybrid optimization inversion method, and steps include: updating a resistivity model; judging whether a nonlinear conjugate gradient iteration satisfies an exit condition; judging whether the gradient of the objective function of two adjacent nonlinear conjugate gradient iterations is less than a preset threshold; making the objective function jump out of a local optimal solution; judging whether a current particle swarm optimization trigger counter is greater than a maximum number of times; generating an updated resistivity model by using an optimal scaling factor; judging whether the RMS of the particle swarm optimization after optimization reaches an exit condition; and outputting a final resistivity model of a detection area. The application effectively solves the dimension disaster problem of the PSO algorithm applied to three-dimensional large-scale inversion.

Provided herein are magnetic signature elements configured to serve as identifiers for components of a magnetic surgical tracking system. The magnetic signature element includes one or more magnetic components arranged in a predetermined pattern that generates a detectable magnetic signature. The magnetic signature is indicative of one or more properties of the associated system component, thereby enabling secure, reliable, and automated identification of units within the magnetic tracking system.

This invention relates to the field of geophysical exploration technology, specifically disclosing a time-shifted magnetotelluric inversion method and system that integrates seismic constraints and physical guidance. The method includes acquiring magnetotelluric observation data of a monitoring area at multiple consecutive times and seismic constraint data of the corresponding area; constructing a physical guidance loss function; establishing a deep neural network with an integrated attention mechanism, using the physical guidance loss function as the training target, and implementing physical feedback control on the network output using Maxwell's forward modeling equations; inputting the magnetotelluric observation data to be inverted and the seismic constraint data into the trained deep neural network, and outputting the time-shifted inversion result of the subsurface resistivity evolution over time. Through the synergistic effect of multiple constraints, the inversion result simultaneously satisfies the electromagnetic field propagation law, the continuity of time evolution, and the prior information of seismic structure, significantly improving the physical rationality and reliability of the inversion result.

The present application relates to the technical field of geophysical electromagnetic exploration data processing, and specifically discloses a kind of orthogonal digital phase-sensitive detection time-frequency electromagnetic complex response extraction method, automatically extracts base frequency and initial phase using transmitter stored time-stamped current data, constructs zero initial phase orthogonal reference signal, carries out two-way digital phase-sensitive detection to receiver full waveform sampling data, obtains in-phase component and quadrature component, so as to calculate the complex response amplitude and phase information of target frequency.The present application does not need analog phase-locked loop and artificial phase modulation process, can stably extract complex response parameters under strong interference and strong noise background, is especially suitable for array time-frequency electromagnetic receiver full waveform sampling data post-processing, without transmitting current waveform to each receiving node in real time, improves the flexibility and scalability of time-frequency electromagnetic system.

The utility model provides a quick response and accurate positioning's replaceable assembly tow rope protection device, including tow rope frame, and the tow rope pulley is hung and is connected on the tow rope frame, and the tow rope pulley is connected by the wire rope between the tow rope pulley and is dragged, and the cable is dragged on the tow rope pulley, still include the wire rope fracture detection device of inserting between every two adjacent tow rope pulley, and the control loop including circuit detection control module, trip determination control module and trouble indication control module is connected in proper order on this detection device, when a section wire rope breaks, corresponding section detection device falls off, triggers circuit detection module to open, trip module to close makes motor operation control device shutdown, and simultaneously trouble indication module is switched on, and activates warning light. The device can not only protect in time and stop, accurate positioning fault, but also the protection assembly can be replaced. The utility model aims at solving the problem that traditional device response lag, fault positioning fuzzy and part not reusable, thereby enhances the security, maintenance efficiency, flexibility of the device.

This invention proposes a method for suppressing short-duration diurnal magnetic field interference based on dual-aircraft collaboration. Addressing the challenges of establishing fixed diurnal variation monitoring stations and lacking effective diurnal variation reference information in offshore dual-aircraft collaborative airborne magnetic surveys, this method utilizes airborne magnetic survey data collected during near-shore airborne magnetic surveys and synchronous observation data from diurnal variation monitoring stations. It proposes a dual-aircraft collaborative diurnal magnetic interference suppression method based on a neural network-guided blind source separation algorithm. This method first uses a deep neural network to learn and extract prior features of diurnal variation interference from the dual-aircraft observation signals. These features are then used as guiding information in the blind source separation process to separate the independent source components corresponding to the diurnal magnetic interference, ultimately achieving high-precision identification and suppression of diurnal variation interference components in the original signal. This method can efficiently separate and suppress short-duration diurnal magnetic interference, significantly improve the signal-to-noise ratio of magnetic survey data, and effectively preserve the target magnetic anomaly characteristics, providing reliable technical support for high-precision airborne magnetic surveys.

The application belongs to the technical field of surveying and provides a surveying device and method for land space planning, wherein the surveying method comprises the following steps: S1: constructing a coil layout state evaluation model according to a coil position offset degree, a coil height deviation degree and a coil spacing deviation degree, and outputting a coil layout state index; S2: constructing an instrument working state evaluation model according to an instrument static health degree (an instrument frequency stability and an instrument noise intensity) and an instrument dynamic health degree (an average value of signal-to-noise ratios of each frequency point of the instrument and the coil layout state index), and outputting an instrument working state health index. The application forms a closed-loop adaptive surveying system by constructing a multi-level evaluation model of a coil layout state, an instrument working state and a surveying error risk and dynamically adjusting detection parameters based on a risk evaluation result.

Embodiments of the present application disclose a kind of unexploded bomb magnetic detection identification method, device, electronic equipment and storage medium, the method comprises: obtaining the magnetic vector field data of the detected area, magnetic total field data and magnetic vector gradient tensor data;Magnetic vector field data, magnetic total field data and magnetic vector gradient tensor data are channel superimposed, and magnetic data is obtained;Magnetic data is input into target neural network model, and the detection identification result about whether the target unexploded bomb exists in the detected area is obtained;Target neural network model includes convolutional neural network and multi-task regression head model;Convolutional neural network is used to extract the deep feature map of high-dimensional semantic information contained in magnetic data;Multi-task regression head model is used to obtain detection identification result according to deep feature map.By constructing multi-modal magnetic data input into target neural network model, unexploded bomb in the detected area can be accurately identified, and the magnetic detection identification precision under non-ideal detection condition is improved.

This invention provides a method for instantaneous spectrum estimation of magnetotelluric signals, relating to the field of geophysical electromagnetic exploration signal processing technology. The invention acquires four magnetotelluric signals and selects one as the signal to be processed; it constructs a local mean operator and a sieving operator using a double-average filtering function, repeatedly sieving to obtain a first-order temporary IMF component; it obtains the phase using Hilbert transform and calculates the instantaneous frequency using forward differential; it constructs a resampling function based on the instantaneous frequency and interpolates to obtain a resampling sequence; it performs discrete Fourier transforms on the resampling sequence and the filtered loop sequence respectively to obtain two spectra; it iterates by multiplying corresponding terms of the two spectra, and after convergence, performs an inverse transform to obtain the IMF component, which is then discarded for further decomposition; it shapes the instantaneous phase waveform to obtain a non-negative instantaneous frequency and constructs the time spectrum, repeating the processing on the remaining three signals. This method improves convergence, avoids negative frequencies, and enhances the reliability of the time spectrum.

The fusion adaptive dynamic prior information magnetotelluric and magnetic method joint inversion method belongs to the field of geophysical data processing and inversion technology; by constructing a joint inversion objective function including data fitting term, model constraint term and physical property coupling term, and using Gauss-Newton method for solving, the core innovation lies in introducing adaptive dynamic prior information extraction technology; the method can automatically generate and optimize prior constraints from data itself and intermediate results, without relying on external preset information, thereby significantly improving the accuracy and reliability of the boundary description and physical property recovery of underground abnormal bodies (such as resistivity, magnetic susceptibility anomaly); solve the problem that the traditional physical property coupling joint inversion technology has strong dependence on prior information and weak generalization ability in information missing area.