193 results about "Electromagnetic signal" patented technology

The present disclosure provides a region-restricted electronic cigarette working circuit, which comprises a monitoring chip, a region sensing module and an atomization switch module. The region sensing module interacts with an external reader / writer through built-in wireless radio frequency tags to identify the boundary of a smoking prohibited area in real time and output an induction signal to the monitoring chip. Based on the received induction signal, the monitoring chip sends on-off instructions to the atomization switch module through an atomization signal control terminal, thereby controlling the on-off of the heating element power supply circuit. This circuit realizes the automatic control of the electronic cigarette use area through wireless radio frequency technology, breaks through the time and space limitations of traditional manual supervision, directly blocks illegal smoking behavior at the hardware level, significantly improves the execution efficiency of public place smoking prohibition regulations, effectively reduces management costs and enhances real-time supervision, and provides technical support for building an intelligent smoking management system.

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.

A kind of water bottom electromagnetic detection equipment platform and its launching and recovery method, including upper top plate, middle layer plate and lower bottom plate from top to bottom in turn, the three layers of plate fixed connection constitute square fixed plate, limit space is arranged between upper top plate and lower bottom plate, electromagnetic detection equipment is installed in the limit space, the electromagnetic detection equipment contains several sensors and measurement arm I, measurement arm II, measurement arm III, measurement arm IV respectively extend outward along the diagonal direction of the four corners of the square fixed plate, can significantly improve the recovery reliability, operation flexibility and task success rate of water bottom electromagnetic detection equipment in complex shallow water environment. The platform is connected by releasing structure and platform using buoyancy cylinder, the recovery of the platform is realized, transducer release, timing release, electromagnetic signal release three independent release modes are integrated on the same platform, the recovery success rate and task reliability of seabed electromagnetic detection equipment in complex environment are significantly improved.

The application relates to the technical field of electronic information security, and discloses a medium-frequency processing module cooperative detection system based on power modulation, which comprises a signal acquisition layer, a network transmission layer and an analysis processing layer. The signal acquisition layer realizes full-band electromagnetic signal acquisition, power spectrum reconstruction and interference suppression; the network transmission layer realizes multi-node data synchronization and cross-space cooperative interaction; and the analysis processing layer is based on a multi-dimensional mapping electromagnetic signal feature model and an integrated learning algorithm to complete abnormal signal positioning, multi-source interference suppression and wireless transmission behavior discrimination. Through the cooperation of multiple layers of technology, the system solves the problems of low detection precision and insufficient anti-interference capability of the medium-frequency processing module in a complex electromagnetic environment, has the advantages of full-band coverage, real-time cooperative processing, intelligent analysis and decision-making, and can be widely applied to the field of information security protection to improve the detection and suppression capability of radio frequency transmission and reception behavior.

This invention discloses a single-polarization broadband signal anti-reflection power-generating glass, an etching method, and an installation method, relating to the fields of communication and photovoltaic power generation technology. The power-generating glass includes an ultra-clear glass substrate and a plurality of single-segment thin-film solar cells connected in series within a layer of the ultra-clear glass substrate. Each single-segment thin-film solar cell includes a positive electrode, a power-generating thin film layer, and a back electrode. The positive electrode, power-generating thin film layer, and back electrode are sequentially stacked and bonded along the thickness direction of the ultra-clear glass substrate, and each is etched with periodically arranged rectangular patterns. The long side of each rectangular pattern is horizontal, forming a frequency-selective surface for the penetration of vertically polarized electromagnetic signals. This invention, by etching rectangular patterns on the power-generating glass, achieves efficient transmission of signals in the target frequency band while ensuring power generation functionality, solving the problem of traditional power-generating glass blocking communication signals and improving the quality of broadband signal transmission.

The utility model discloses a magnetorheological sound insulation cotton damping with anti -interference structure relates to sound insulation material technical field, including sound insulation cotton layer and anti -interference structure layer. The composite electromagnetic shielding layer of the magnetorheological sound insulation cotton damping with anti -interference structure outermost layer is alternately woven composite by nanometer copper net and graphene film, can be all -round shielding to electromagnetic interference, creates stable electromagnetic environment for the inside magnetorheological liquid filling cavity, effectively avoids the outside electromagnetic signal interference magnetorheological liquid response to the magnetic field, guarantees its rheological characteristic stable play, the three -dimensional shock attenuation layer of inner layer adopts the even arrangement of hexagonal honeycomb -like elastic rubber film and viscoelastic damping block, and is matched with interval distribution's shock attenuation spring and shock attenuation rubber block, can form multistage shock attenuation system, effectively absorbs and buffers mechanical vibration, greatly reduced the influence of outside vibration to sound insulation cotton layer and magnetorheological liquid filling cavity, has improved the reliability of product under complex vibration environment significantly.

This invention discloses a magnetotelluric denoising method and system based on a physics-driven and conditional diffusion model, belonging to the field of electromagnetic signal processing technology. This method integrates the advantages of neural networks and the physical characteristics of magnetotelluric signals, and proposes a physics-driven synthesis strategy based on statistical priors of measured source data and a curriculum-based dynamic physics-driven noise addition strategy based on training progress factors. Addressing the scarcity of high-quality, clean samples, a clean background field that highly approximates real physical characteristics is synthesized using a parametric mathematical model. The introduction of curriculum-based dynamic physics-driven noise addition (such as noise floor annealing, square wave incrementing, and morphological clustering pulses) accurately simulates natural background degradation and complex human interference, enabling the model to adapt to extremely complex time-frequency characteristics under different geological structural backgrounds. This completely overcomes the domain shift problem caused by static Gaussian white noise training, constructs a richer sample library, and lays the foundation for accurate denoising of conditional diffusion models.

This invention relates to the field of transformer monitoring, and particularly to a transformer fault monitoring device and method. The device includes a monitoring base with a notch in the center for placing the transformer cable under test. The upper limit of the monitoring base includes a power supply module, a data acquisition module, and an alarm module. The power supply module provides power to the alarm module and is electrically connected to the data acquisition module. The data acquisition module acquires the electromagnetic signal of the cable under test. An abnormal electromagnetic signal from the cable under test activates the power supply module, thereby triggering the alarm module to issue a transformer fault alarm signal. This invention achieves rapid response and triggering of transformer cable faults through the corresponding cooperation between the data acquisition module and the abnormal electromagnetic signal of the cable, combined with the mechanical cooperation of the probe and the truncated cone spring, and the electromagnetic induction effect of the coil. It can complete the abnormal monitoring of the cable without damaging the insulation layer of the cable under test, avoiding potential installation accidents and improving monitoring efficiency, reliability, and safety.

The present application belongs to the field of tunnel advanced prediction technology, and discloses a tunnel advanced prediction electromagnetic observation system and a detection method. The observation mode of surface emission, underground reception, multi-source emission and multi-component reception is adopted. In this mode, high-power emission can be conveniently used, the problems of high transportation cost in the tunnel and low signal-to-noise ratio of collected data are improved, the coverage area of observation data can be improved, and more effective information can be obtained. Based on the observation system, a tunnel advanced prediction inversion algorithm based on deep learning is developed, quasi-three-dimensional joint inversion of multi-component, time-domain and frequency-domain signals is realized, the advantages of deep learning algorithm are fully utilized, time-domain and frequency-domain electromagnetic signals are fully utilized, the calculation efficiency and detection precision of inversion are improved, the non-uniqueness in inversion is reduced, and rapid imaging of underground space structure is realized.

The application discloses a low-power-consumption common-gain adjustable metasurface based on nonlinear negative resistance, which comprises a low-power-consumption metasurface unit and a backscattering amplifier connected in series with the low-power-consumption metasurface unit; the low-power-consumption metasurface unit comprises, from top to bottom, an upper copper sheet, an upper dielectric, a metal ground, a lower dielectric and a bottom RLC switching circuit layer; wherein the upper copper sheet is connected with the bottom RLC switching circuit through a through hole; the bottom RLC switching circuit layer comprises a plurality of radio frequency switches and LC circuits or resistors embedded between the radio frequency switches; the backscattering amplifier comprises a matching circuit, the matching circuit is connected with an amplifying circuit through a direct-current isolation part, and the amplifying circuit is connected with a bias circuit through a cross isolation part. After an electromagnetic signal is input into the amplifying circuit through the bottom RLC switching circuit, the LC circuit or the resistor is selected through the radio frequency switch, the electromagnetic signal is amplified, and then the electromagnetic signal is reflected, the LC circuit or the resistor is selected through the radio frequency switch, the electromagnetic signal is transmitted to the upper copper sheet, and then the electromagnetic signal is radiated to the free space.

This case relates to a method for frequency domain enhancement integral transfer adversarial attacks on electromagnetic signals, belonging to the field of intelligent adversarial technology in electromagnetic spectrum sensing. It addresses the problems of insufficient transferability of existing electromagnetic signal adversarial samples and poor performance in black-box adversarial attacks involving electromagnetic signal sample transfer. This method uses a target electromagnetic signal data as the original sample, which is then interpolated through translation to obtain N interpolated samples. An enhanced baseline sample is obtained based on the signal spectrum characteristics corresponding to each interpolated sample and the current bandwidth setting. The interpolated samples are then frequency-domain enhanced using the enhanced baseline sample to obtain N enhanced data samples. The label corresponding to the original sample is used as the label corresponding to these N enhanced data samples, constructing N pairs of frequency-domain enhanced training samples. The sample gradient of the training samples is calculated using the loss function of the local substitution model to obtain the gradient integral with respect to the original signal itself, thereby generating an adversarial sample corresponding to the original sample. This adversarial sample is capable of carrying out transfer adversarial attacks.

This invention proposes a method for inverting conductor galloping parameters based on ground wire electromagnetic signals. The method involves acquiring the ground wire electromagnetic signal and performing spectral analysis to identify additional frequency components. Based on the number and distribution characteristics of these additional frequency components, the order and frequency of conductor galloping are preliminarily determined. Using the preliminarily determined galloping order and frequency, the galloping amplitude and phase of each phase conductor are inverted using the correspondence between characteristic frequency components and galloping amplitude. Based on the verification results of the characteristic frequency components, the specific order of conductor galloping is determined, and the galloping parameters are output. This invention can identify the order of conductor galloping and invert parameters such as galloping amplitude and frequency, effectively solving the problem that traditional ground wire electromagnetic monitoring methods can only analyze first-order galloping.

Techniques for measuring single synaptic signals under varying experimental conditions include controlling a video recording microscope to capture, at multiple different times, a first imaged area in a sample holder as a video frame when the sample holder is disposed on a stage and holds a sample of neuronal tissue combined with at least one fluorophore that emits a corresponding electromagnetic wavelength in a synapse during synaptic activity. At least one synaptic region of interest is determined based on a group of pixels in the first imaged area that record electromagnetic emissions from the fluorophore at the different times. An ordered time series of emission intensity is recorded in each of the synaptic region of interest. Peak emission intensity values in the time series are corrected for transmitter label transients. The ordered time series with corrected peak emission intensity values are stored in a data structure with a standard format.

Apparatus, systems, and methods are provided for localizing lesions within a patient's body, e.g., within a breast. The system may include one or more markers implantable within or around the target tissue region, and a probe for transmitting and receiving electromagnetic signals to detect the one or more markers. During use, the marker(s) are into a target tissue region, and the probe is placed against the patient's skin to detect and localize the marker(s). A tissue specimen, including the lesion and the marker(s), is then removed from the target tissue region based at least in part on the localization information from the probe.

The invention describes an unattended surveillance node and a method for identifying signal-emitting intruders across multiple physical domains. The system uses a hierarchical triggering architecture where mechanical disturbance sensors (acoustic and seismic) operate as low-power logic triggers. Upon detecting a mechanical signature matching an intrusion profile, the system activates a wide-spectrum radio frequency (RF) analysis. The key innovation lies in a correlational fusion engine that validates the intrusion only if there is a rhythmic or spectral match between the mechanical pressure fluctuations and the detected electromagnetic emissions, allowing the classification of the source (biological, mechanical, or electronic) with high immunity to environmental false alarms.

Examples relate to a quantum radio frequency (RF) electromagnetic (EM) signal direction finding system. The system includes an arrangement of quantum sensor elements configured to detect RF EM signals, with excitation componentry to optically excite the elements and photodetector circuitry to detect optical emission. A laser system and optical system provide excitation light, while an electronic control and processing circuit receives signals from the photodetector circuitry. The electronic control and processing circuit processes the signals to determine phase differences between elements and calculates an angle of arrival of incoming wireless RF signals.

This invention discloses a navigation device for tourists who get lost in mountainous scenic areas, comprising: a rest station, a lost-aware warning mechanism, a geomagnetic signal transmitting component, a signal tracking device, and a first control system. The rest station is located on the main road of the scenic area. The lost-aware warning mechanism is located at the rest station and includes a first driving mechanism and a thermal imager. The first driving mechanism drives the thermal imager to swing up and down along the direction of gravity to identify whether tourists have left the main road of the scenic area. The first control system sends a reminder signal to the signal tracking device carried by the tourist based on the information from the thermal imager to avoid getting lost. After getting lost, the tourist uses the signal tracking device to send a distress signal. The first control system receives the distress signal and drives the geomagnetic signal transmitting component to send an electromagnetic signal. The signal tracking device receives the electromagnetic signal and, through changes in the strength of the electromagnetic signal, helps the tourist find the nearest rest station, thereby helping tourists to save themselves in extreme weather conditions such as dense fog and heavy rain.

The present application relates to a kind of spectrum occupation degree calculation method based on full-band spectrum data, belong to radio signal spectrum analysis field.The present application is based on the full-band spectrum data of same sampling time, and the full-band signal is divided into several sub-bands;Based on the full-band spectrum data of once sampling time, the level threshold of all sub-bands is calculated;Based on the spectrum data of different sampling time in measurement time, the occupation degree is estimated.The present application obtains multiple interval threshold values in each sub-band by histogram, interclass variance and other means, which can be used in abnormal electromagnetic signal monitoring scene, further reduces the false alarm rate of abnormal signal alarm, and improves electromagnetic space safety supervision ability.

This invention relates to the field of radar imaging technology, and proposes a system and method for detecting local surface defects in field equipment based on a robotic arm. The system includes: a robotic arm unit with a SAR transceiver antenna mounted at its end, which transmits electromagnetic signals to the surface of the field equipment to be inspected and receives echo signals; a motion controller connected to the robotic arm unit, which controls the movement trajectory of the robotic arm; and an industrial control computer, which has a built-in SAR imaging data processing module and a path optimization module. The industrial control computer is electrically connected to the motion controller and the SAR transceiver antenna, respectively, driving the robotic arm unit to move according to the planned sampling trajectory, and simultaneously controlling the signal transmission and reception timing of the SAR transceiver antenna; the SAR imaging data processing module performs range compression, azimuth compression, and two-dimensional inverse Fourier transform processing on the received echo signals to generate SAR images characterizing the surface and internal defects of the equipment. This invention achieves full automation of the field equipment defect detection process.

This invention discloses a distributed processing and fusion method and system for electromagnetic signals in multi-source apertures, relating to the field of electromagnetic signal processing, and addressing the problems of pose deflection of detection nodes and low accuracy of multi-frequency signal fusion. First, a moving sensing node is controlled to construct an LC parallel resonant circuit to acquire multi-frequency analog data and simultaneously generate multi-frequency digital voltage characteristic parameters. Then, an inverse projection transformation is performed on the inductive components using a direction cosine space rotation matrix to correct attitude deviations and extract the set of absolute spatial magnetic field vectors in the global spatial coordinate system. Next, the circuit quality factor is extracted as a weighting coefficient to perform superposition fusion, generating a single synthetic target magnetic field vector. Finally, the synthetic vector is correlated with the displacement sequence to perform trajectory association and position reconstruction analysis, outputting a three-dimensional coordinate dataset of the target linear radiation source. This invention achieves high-precision attitude compensation and signal purification, improving the accuracy of target localization in complex and confined spaces.

This utility model relates to the field of cable technology for vision equipment, and discloses a cable for robot vision equipment that is resistant to horizontal torsion. It includes a conductor wire, a twisted wire fixedly connected to the outer wall of the conductor wire, Kevlar fibers fixedly connected to the outer wall of the twisted wire, an insulating sleeve fixedly connected to the outer wall of the Kevlar fibers, a shielding sleeve fixedly connected to the outer wall of the insulating sleeve, and a protective sleeve fixedly connected to the outer wall of the shielding sleeve. Reinforcing components are provided on the surfaces of the insulating sleeve and the protective sleeve. In this utility model, the precise twisting of multiple twisted wires and the strong reinforcement of Kevlar fibers construct a core framework for the cable to resist torsional stress and fatigue damage, significantly improving its torsional resistance. The high-density braided shielding sleeve can effectively intercept external electromagnetic signals, strictly preventing interference from penetrating the shielding layer and affecting the stable transmission of internal signals. The dual protection system of the insulating sleeve and the protective sleeve further strengthens the overall structural strength of the cable.

A system for performing image-guided surgery includes an instrument having a first portion configured to define a trajectory into the body of a patient, a marker device and a user-interface component. A sensing device receives electromagnetic signals that are reflected or emitted from the marker device, and a processing system, coupled to the sensing device, includes at least one processor configured with processor-executable instructions to perform operations that include tracking the position and orientation of the instrument relative to the patient based on the signals received at the sensing device, receiving a signal from the user-interface component of the instrument indicating a user-input event, and saving the trajectory into the body of the patient defined by the first portion of the instrument in response to receiving the signal.

The present application relates to the field of prestressed concrete cylinder pipe detection, and particularly relates to a PCCP prestress failure signal acquisition and analysis system and method, comprising the following steps: an excitation coil and a magnetic sensor are arranged outside a prestressed steel wire layer of a PCCP pipe, the excitation coil is used to apply a low-frequency alternating excitation magnetic field to the prestressed steel wire layer, the magnetic sensor is used to acquire an eddy current magnetic field signal generated in the prestressed steel wire, and an initial electromagnetic signal of each measuring point is obtained; a strain gauge is fixedly connected between the excitation coil and the magnetic sensor, a resistance signal of the strain gauge is acquired in real time, and a state characteristic value reflecting a mechanical coupling state of a monitoring layer is extracted from the resistance signal. The present application combines the excitation coil, the magnetic sensor and an acousto-optic fiber sensor, cooperatively captures eddy current mutation and stress waves, introduces a strain gauge verification signal to improve reliability, and through confidence management and space-time correlation analysis, cross verification denoising, false negatives and false positives are reduced, and the positioning accuracy and diagnosis depth of broken wires are improved.

1. Name of the designed product: electromagnetic signal simulation device. 2. Use of the designed product: the designed product is used for electromagnetic signal simulation communication device. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

Methods for identifying micron-scale features below a surface of a tissue include emitting from one or more emitters at the surface of the tissue electromagnetic signals capable of penetrating tissue of different densities; obtaining from a sensor positioned at the surface of the tissue electromagnetic signals reflected from or transmitted through tissues of different densities as one or more obtained images; inputting the one or more obtained images into a machine learning model, wherein the machine learning model is trained to: identify scattering of certain electromagnetic signals comprising each of the one or more obtained images; correct for the scattering to create one or more images tissues at one or more subsurface depths; and identify micron-scale features of interest within the one or more images of tissues at the one or more subsurface depths.

The embodiments of this application relate to the field of computer model-based image processing, and particularly to a system and method for processing brain images. The system for processing brain images provided by the embodiments of this application utilizes an encoder and a large language model to encode electromagnetic signals acquired by the signal acquisition unit into words and perform deep semantic processing on these words. This allows the image decoder to process the processed words and obtain an image. The encoder, the large language model, and the image decoder work together to transform electromagnetic signals into accurate brain images. The method for processing brain images provided by the embodiments of this application compresses electromagnetic signals and extracts effective information to obtain words, ensuring signal authenticity and reducing data volume. By inputting the words into a large language model for processing, the brain image obtained after decoding the processed words is more accurate.