3455 results about "Electromagnetic radiation" patented technology

The invention relates to the technical field of electromagnetic compatibility optimization design methods, in particular to a system intelligent electromagnetic compatibility optimization design method and system, and the method comprises the following steps: building an electromagnetic simulation unit model of a component, and constructing a component model library; performing interference path analysis on the component model through a path optimization algorithm, identifying key nodes and interference source nodes, and constructing an electromagnetic interference path model; according to the electromagnetic interference path model, carrying out adaptive adjustment on electromagnetic radiation and immunity parameters of system components so as to optimize electromagnetic compatibility; carrying out dynamic prediction and parameter optimization adjustment on electromagnetic compatibility parameters of the system through a deep learning model; the electromagnetic compatibility of the system and the sub-modules thereof is integrally optimized by adopting a progressive feedback adjustment mechanism, and the technical contradiction in the traditional method is effectively solved by introducing innovative mechanisms such as path weight calculation, nonlinear adaptive adjustment and multi-level non-uniform optimization.

A broadband omni-directional bicone antenna. The antenna can comprise conductive surfaces of conical voids provided within a solid dielectric structure. The outside surface of the solid structure can support a radio frequency (RF) lens geometry operable for beam forming. The beam forming can modify the elevation pattern of the electromagnetic radiation from the bicone antenna. The solid dielectric structure may be machined or molded from a single piece of material. The conical voids provided within the solid structure can be metallized to provide conductive bicone radiators. The outer surface beam shaping lenses can be zoned or continuous and can provide elevation patterns with increased gain, cosecant squared falloff, or various other patterns. The beam shaping lens may be formed from any low-loss dielectric. Alternatively, the lens may be formed from a less dense material such as dielectric foam that can support radial conductive beam forming vanes.

Aspects of the present invention relate to an apparatus for providing driver assistance of a vehicle, an autonomous system, a vehicle, a method, a controller and a non-transitory computer readable medium. The apparatus comprises a first sensor and a second sensor mounted on a vehicle. The first sensor is configured to transmit and receive electromagnetic radiation to detect the presence of an object in a first area, and the second sensor is configured to transmit and receive electromagnetic radiation to detect the presence of an object in a second area. The first area and the second area overlap to define an overlapping area forward of the vehicle. The first area extends from the overlapping area to a first extreme direction having a rearward component and a leftward component, and the second area extends from the overlapping area to a second extreme direction having a rearward component and a rightward component.

The invention provides an antenna radio frequency performance test system and method, and relates to the technical field of antenna testing, the system adopts an intelligent signal source module, uses a quantum random number generator to generate a test signal of an ultra-wide frequency spectrum, and an adaptive matching network module can automatically adjust impedance according to impedance characteristics of an antenna to be tested. The space electromagnetic environment reconstruction module accurately simulates various electromagnetic environments through an electromagnetic radiation source and a wave-absorbing material, the multi-dimensional signal acquisition module simultaneously acquires electric field, magnetic field, phase and frequency spectrum information, and the intelligent analysis and diagnosis module analyzes signal data by using an artificial intelligence algorithm and performs fault diagnosis based on a machine learning model. In general, the system and the method improve the comprehensiveness, the accuracy and the intelligentization of the antenna test, and provide a new test solution for the field of wireless communication.

System and method for controlling electromagnetic spatial radiation over a region by coordination the utilization of multiple ambient backscatter (ABC) nodes and repositionable dynamic reconfigurable intelligent surfaces (RISs). Multiple coordinated ABCs are used to protect the region of primary use against the radiation due to the secondary users. Repositionable dynamic RISs provide more robustness to shadowing and power fluctuations in short time frame.

The invention relates to the technical field of power distribution cabinet detection, and discloses an intelligent detection system and method for a high-low voltage power distribution cabinet, and the system comprises a data collection module, a feature extraction module, a network construction and updating module, a fault positioning module, a positioning map generation module, and a self-healing control module. The method comprises the following steps: generating a multi-physical field coupling data set by synchronously collecting electromagnetic radiation spectrum and cabinet vibration waveform, performing time-frequency domain conjoint analysis to extract fault feature vectors, constructing and dynamically updating a fault propagation network, identifying key fault sources by combining betweenness centrality and historical case matching, and generating a fault positioning map; accurate self-healing control is realized by applying reverse electromagnetic pulse and adjusting contact pressure based on the atlas; according to the invention, the problems of low positioning precision and mechanical self-healing control means during detection of the high-low voltage power distribution cabinet are solved, and the fault detection efficiency and reliability are significantly improved.

The invention provides a multi-index self-adaptive fusion grading early warning method for coal rock gas dynamic disasters. The method comprises the following steps: (1) multi-source data collaborative preprocessing: collecting multi-source data, identifying and marking abnormal values by using a semi-supervised collaborative training model based on xLSTM, denoising acoustic emission and electromagnetic radiation signals through a PSO-wavelet threshold-OPTICS model, and interpolating missing values in real time through a BayOTIDE model; (2) multi-disaster feature fusion and risk prediction: inputting the preprocessed data into an MTAFM model, processing different data by a core expert module and an auxiliary expert module respectively, and dynamically fusing features through a gating unit to generate a risk probability; and (3) dynamic grading early warning and composite disaster judgment: determining an early warning threshold value based on Bayesian dynamic optimization, grading by combining with a quantile method, and judging coal rock and gas dynamic disasters as composite disasters during early warning. The method is high in adaptive data preprocessing capability, accurate in multi-index fusion early warning and reliable in dynamic grading early warning, and the dependence on professionals is reduced.

Embodiments of the present invention provide a therapeutic device. The therapeutic device includes an inner layer including a plurality of sensing locations and a plurality of stimulating locations constructed therewithin. Furthermore, the therapeutic device includes a plurality of stimulation elements located within the plurality of stimulating locations. The therapeutic device further includes a plurality of optical fibers including a plurality of respective first optical endpoints and a plurality of respective second optical endpoints, the plurality of first optical endpoints located within the plurality of sensing locations. Furthermore, the therapeutic device includes an optical sensor configured to receive electromagnetic radiation from the plurality of second optical endpoints. The therapeutic device also includes a control module configured to determine radiation characteristics of the electromagnetic radiation received by the optical sensor and activate one or more of the plurality of stimulation elements in correlation with the determined radiation characteristics.

The invention discloses a pattern recognition type metal pipeline anticorrosive coating quality detection device and system, belongs to the technical field of sensing monitoring, and aims to solve the problems of low detection precision and difficulty in positioning of damaged points of a metal pipeline anticorrosive coating under the interference of a complex environment. The method comprises the following steps: generating an environmental interference spectrum feature library through full-range frequency band pre-scanning, dynamically establishing a reference noise level, screening candidate frequencies of detection signals, and switching the frequencies as required to guarantee signal quality; synchronously acquiring a potential gradient and an electromagnetic radiation signal, and marking space-time coordinates; performing deep processing on the acquired signals, separating multi-frequency signals, correcting attenuation, and constructing a multi-dimensional feature vector; based on the feature vector, a space-time abnormal mode is extracted to position a damage point, through damage type classification, region area measurement and depth evaluation, the damage severity is quantified, accurate data support is provided for pipeline maintenance, and the accuracy and reliability of metal pipeline anticorrosive coating detection are effectively improved.

The invention discloses a power transmission line tower footing bare soil vegetation restoration capability comprehensive evaluation method, and relates to the technical field of vegetation restoration capability evaluation, and the method comprises the steps: building an evaluation index system, building a quantitative model, carrying out data collection, and carrying out calculation and grading. According to the method, a comprehensive evaluation index system is constructed, electromagnetic radiation related indexes and microtopography related indexes are covered, the actual vegetation restoration situation can be reflected more accurately, the influence coefficient is measured and calculated in detail, the influence of electromagnetic radiation and microtopography changes on vegetation is fully considered, a basis is provided for accurate evaluation, and the vegetation restoration efficiency is improved. The problems of inaccurate and incomplete evaluation are effectively solved, quantitative model construction and optimization are performed, time factors are introduced to dynamically evaluate the vegetation restoration capability, problems can be found in time, a restoration strategy can be adjusted, accurate grade division is performed, reasonable selection of vegetation varieties is facilitated, proper restoration measures are adopted, the vegetation restoration success rate is increased, and the vegetation restoration efficiency is improved. The ecological stability of the tower footing area is enhanced.

The invention discloses an automatic equipment scheduling method and system for an electromagnetic compatibility test, and the method comprises the steps: monitoring the state and spatial position information of each piece of equipment in real time, and calculating the electromagnetic radiation intensity of the equipment; sorting all the test tasks according to the priorities, and sequentially arranging the equipment from high priority to low priority for testing to form an initial equipment scheduling scheme; calculating the electromagnetic interference gradient of the equipment scheduling scheme, dynamically adjusting the equipment scheduling sequence by adopting the electromagnetic interference gradient, and updating the equipment scheduling scheme; the electromagnetic interference intensity between the devices is updated in real time, and then a device state interference matrix is dynamically evolved; global coupling feedback is calculated; and solving a multi-dimensional optimization objective function which comprehensively considers the total interference variable, the equipment state interference matrix and global coupling feedback under the current scheduling scheme to obtain an optimal equipment scheduling scheme. The method is high in scheduling efficiency, full in resource utilization, accurate in electromagnetic interference control, and capable of effectively meeting complex multi-device collaborative test requirements.

The invention relates to the technical field of motor state monitoring and intelligent fault diagnosis, in particular to a motor test and diagnosis system and method based on multi-data acquisition, and the system comprises a multi-mode sensing array module, a heterogeneous data fusion module, a coupling feature mining module and a migration diagnosis decision module. Wherein the multi-mode sensing array module is used for collecting mechanical vibration time domain signals, temperature field space distribution data and near-field electromagnetic radiation spectrums of a motor; the heterogeneous data fusion module is used for generating a time-frequency matrix, a thermal field characteristic matrix and fundamental frequency harmonic energy distribution characteristics; the coupling feature mining module is used for generating a comprehensive diagnosis factor; and the migration diagnosis decision module is used for constructing a feature mapping network based on meta-learning and outputting a fault type and a confidence score. According to the invention, through multi-modal feature fusion and a metalearning-based migration diagnosis mechanism, high-precision identification and cross-model adaptive diagnosis of multi-source fault information under a complex working condition of the motor are realized.

A computer implemented method that enables detection and mitigation of drilling hazards is described. The method includes determining time-domain electromagnetic parameters and obtaining data at multiple heights by at least one unmanned aerial vehicle equipped with at least one receiver as a time-domain electromagnetic transmitter emits electromagnetic radiation based on the time-domain electromagnetic parameters. The method also includes fusing the obtained data to generate a subsurface model.

The present disclosure describes multi-fluid kits for three-dimensional printing, three-dimensional printing kits, and methods of three-dimensional printing. In one example, a multi-fluid kit for three-dimensional printing can include a fusing agent and a ductility agent. The fusing agent can include water and electromagnetic radiation absorber. The electromagnetic radiation absorber can absorb radiation energy and convert the radiation energy to heat. The ductility agent can include water, a water-soluble pore-generating compound that chemically reacts at an elevated temperature to generate a gas, and a plasticizer. The plasticizer can have formula (I) wherein n is an integer ranging from 3 to 8; or formula (II) wherein m is an integer ranging from 3 to 8.

The invention relates to the technical field of vehicle-gauge-level password protection, and discloses a vehicle-gauge-level post quantum password acceleration and side channel protection device. The device comprises a quantum key injection unit, a quantum noise analysis unit, a post quantum cryptography acceleration engine, a side channel feature extraction unit and a protection strategy generator. The quantum key injection unit performs format standardization processing on input quantum key information; the quantum noise analysis unit collects a power consumption time sequence signal and an electromagnetic radiation signal of the cryptographic operation chip, and extracts a quantum noise characteristic spectrum through a quantum Fourier transform algorithm; the post quantum cryptographic acceleration engine adopts a lattice-based cryptographic algorithm to implement layered acceleration operation on the target encrypted message data; a side channel feature extraction unit constructs a space-time joint side channel feature tensor according to the quantum noise feature spectrum; the protection strategy generator identifies the physical fragile area according to the tensor and generates a corresponding protection strategy instruction. The device integrates a quantum cryptography acceleration function and a side channel protection function, and is suitable for a vehicle-specification-level scene.

The invention provides an AI-based passive radar multi-source electromagnetic positioning matching method and system, and relates to the technical field of artificial intelligence, and the method comprises the steps: firstly obtaining a multi-source electromagnetic signal data set of a target region, the multi-source electromagnetic signal data set is electromagnetic radiation signals synchronously captured by a plurality of signal collection devices in a preset time window, and the electromagnetic radiation signals are acquired by a plurality of signal collection devices; secondly, performing feature extraction on the multi-source electromagnetic signal data set to obtain a signal feature set containing signal intensity distribution, frequency domain correlation and time-space correlation features, then fusing the signal feature set based on a dynamic weight distribution strategy to generate a multi-dimensional positioning feature set, and then calling an AI positioning matching model to analyze positioning parameters to obtain a multi-dimensional positioning feature set; and obtaining a spatial position and a signal propagation parameter of the target electromagnetic radiation source. And finally, a positioning optimization instruction is generated according to the parameters and is fed back to the signal acquisition device cluster for parameter calibration, so that the electromagnetic positioning precision and reliability can be improved.

Methods and devices for analyzing a sample from a subject are provided. A device includes one or more coherent light sources and one or more partially coherent light sources. The light sources are configured to emit first and second wavelengths of electromagnetic radiation towards an imaging chamber configured to hold blood cells. The light sources are aligned to illuminate a single common area of the imaging chamber. The device includes optics positioned to receive light from the imaging chamber, and a detector in optical communication with the optics. The detector is configured to detect fluorescence emission and backscatter from blood cells when present in the imaging chamber. The device includes mixers / unmixers configured to replicate and mix first and second signals representative of the responses to the first and second wavelengths after interacting with the plurality of blood cells to generate spectro-spatial responses.

The invention provides an intelligent mine management and control method and system based on the Internet of Things technology, and relates to the technical field of mine management and control, and the method comprises the steps: obtaining the roadway feature data and mining progress data of a mine in a mine; the influence degree on sensor signal transmission is calculated according to geological stress change data and equipment electromagnetic radiation intensity, and the distribution positions of the sensors are planned by combining roadway distribution data. And generating a sensor migration path plan, adjusting a point distribution position to obtain an optimized point distribution position, simulating a signal propagation path by adopting a Monte Carlo algorithm, and identifying a key area of which signal attenuation exceeds a preset threshold value. And adjusting the optimized point distribution position of the key area to obtain key area distribution points, and formulating a sensor distribution and control scheme in combination with the optimized point distribution position. According to the invention, the distribution positions of the sensors are optimized, the monitoring efficiency and the stability of signal transmission are improved, and the real-time monitoring and dynamic adjustment of the mine environment are realized.

Systems and methods for deployable and reusable autonomous vehicle systems and networks are provided. The autonomous vehicles include solar power satellite sandwich modules for collecting solar radiation and / or radiant heat and converting it to useable energy to power on-board systems, for storage, or for transmission as electromagnetic radiation in wireless power transfer. The autonomous vehicles disclosed herein may be configured as nodes in a fixed or mobile deployable network for wireless power distribution and / or data transmission across multiple domains (water / land-to-air-to-space). Fleets of autonomous vehicles may be configured for various applications such as micro- or macro-wireless power grids, beam riding highways for orbital raising, point-to-point-transport and in-flight charging, on Earth and in Space.

The invention relates to a path planning method, device and equipment for collaboratively erecting an overhead conductor by an unmanned aerial vehicle group, and a medium. The method comprises the following steps: acquiring topographic point cloud data, conductor tower coordinates, real-time obstacle positions and electromagnetic radiation intensity data of an erection area, and constructing a three-dimensional environment map; generating an initial path and a task allocation table through the three-dimensional environment map and the type parameters of the unmanned aerial vehicle group; based on the electromagnetic interference level, the real-time coordinates of the dynamic obstacle and the remaining power of the unmanned aerial vehicle, collaborative optimization is carried out on the initial path, and an optimized path is generated; and controlling a traction lead of the unmanned aerial vehicle group according to the optimized path, and verifying lead erection stability based on tension sensor data. According to the method, through the technical means of multi-source data environment modeling, differentiated task allocation, dynamic path collaborative optimization and the like, the efficiency and the safety of overhead conductor erection are remarkably improved, and the adaptability and the task execution capability of an unmanned aerial vehicle group in a complex environment are enhanced.

The invention provides a lightning trajectory data fusion detection based single-tree accurate early warning system for lightning fire, and relates to the technical field of meteorological disaster monitoring and early warning and forest lightning fire prevention and control. The lightning trajectory data fusion detection based single-tree accurate early warning system comprises an electromagnetic radiation receiving module which adopts an antenna array composed of at least four directional antennas to receive electromagnetic radiation signals generated by lightning, the antenna array is connected with a signal conditioning circuit, and the signal conditioning circuit is connected with the electromagnetic radiation receiving module. The signal conditioning circuit amplifies the received weak electromagnetic signal by 100-1000 times, processes the weak electromagnetic signal with a filtering bandwidth of 10 kHz to 1 MHz, and transmits the weak electromagnetic signal to a data acquisition card with a sampling frequency of 5-20 MS / s and a sampling precision of 12-16 bits. By integrating lightning electromagnetic radiation continuous sampling, infrared, visible light and ultraviolet multispectral tracking shooting and atmospheric electric field early warning multi-modal data, a lightning track is accurately detected, and by combining forest environment information, accurate early warning of a single tree where a lightning fire may occur is achieved.

The invention is an apparatus for amplifying cooling through interaction with electromagnetic radiation for optical of objects and / or object surfaces with essentially three layers, which are a bottom layer that is comprised of a single or multi layered material configured to emit IR radiation; a middle layer that is comprised of a single or multi layered material configured to respond in anti-Stokes fluorescence upon absorption of electromagnetic radiation; and a top layer that is comprised of a single or multi layered material configured to reflect selected spectral band(s) and / or amplify selected spectral band(s) of the electromagnetic radiation transmittable to the middle layer.

An example of a multi-fluid kit for three-dimensional (3D) printing includes a fusing agent and a surface treating agent. The fusing agent includes an electromagnetic radiation absorber and a first aqueous vehicle. The surface treating agent includes a second aqueous vehicle, a surfactant, and benzyl alcohol dissolved in the second aqueous vehicle.

The present invention relates to gas detection devices, and in particular to volatile substance sensors, such as respiratory alcohol device sensors. A semiconductor gas sensor device according to the present invention includes a laser structure and an optical waveguide resonator formed in the same compound semiconductor including at least one light emission layer and one light propagation layer. The optical waveguide resonator is formed in the light propagating layer, and a majority thereof is separated from a remainder of the light propagating layer. The laser structure is disposed adjacent a portion of the optical waveguide resonator and is arranged to transmit electromagnetic radiation of a particular wavelength band to the optical waveguide resonator arranged to resonate at the particular wavelength band.

The embodiment of the invention provides a PCB layout optimization method for a finished automobile thermal management system, and relates to the technical field of automobile electronics and electricis.The method comprises the steps that firstly, electronic elements are subjected to electromagnetic interference analysis and grouped according to the electromagnetic interference degree, PCB layout planning is conducted according to the grouping result, and the rough area of each element group on a PCB is determined; detailed component layout is carried out according to the plan, and the orientation and spacing of the components are adjusted according to the electromagnetic radiation characteristics of the components and the layout condition of the surrounding components. Thirdly, during wiring design, not only the length of the line is considered to avoid bending and crossing, but also the line is arranged in the wiring corridor to reduce crossing and coupling; for differential wire pairs, adjacent parallel wiring is adopted to keep tight coupling between the wire pairs, and electromagnetic radiation is reduced. And finally, verifying the effectiveness of the PCB design and adjusting according to requirements until the verification is passed. The PCB layout of the whole vehicle thermal management system is comprehensively optimized, the electromagnetic interference can be effectively reduced, and the system performance is improved.

The invention provides a deep tunnel time-delay rockburst comprehensive early warning method based on an acoustoelectric technology. The method is applied to the technical field of tunnel and underground engineering disaster early warning and comprises the steps that a micro-seismic sensor array is arranged in a deep tunnel rock engineering target area, and a micro-seismic monitoring system is built; positioning a micro-seismic event and seismic source parameter information for the collected micro-seismic signals, and determining a key monitoring area of a rock mass fracture damage area; carrying out point location monitoring on the key monitoring area of the rock mass fracture damage area by using an electromagnetic radiation monitoring instrument; establishing a time-delay rockburst early warning index system; a comprehensive early warning model is established, and fuzzy mathematics comprehensive evaluation is conducted on the time-delay rockburst; obtaining a rockburst main control factor membership degree function according to a micro-seismic and electromagnetic radiation monitoring data statistical result; obtaining a fuzzy matrix R of the time-delay rockburst according to the membership function of the main control factors of the rockburst; and outputting an early warning result. In this way, the accuracy of rockburst early warning can be improved.

The invention discloses an energy internet operation state evaluation method and system, and relates to the technical field of energy internet, and the method comprises the following specific steps: building a micrometeorological model: combing the geographic position information of various energy facilities distributed in the energy internet, according to the method, a regional differentiation comprehensive evaluation mechanism considering ecological benefits and energy utilization efficiency is established by fusing dynamically quantified ecological environment related indexes and energy operation state indexes obtained based on micrometeorological differences, so that real-time influences of the energy internet on the ecological environment in different regions are comprehensively and accurately mastered; according to the method and the system, comprehensive evaluation results such as the interference degree of a wind power plant on a bird migration path, the ecological interference degree of a solar power station on land vegetation and the influence range and intensity of electromagnetic radiation on surrounding ecology are evaluated, and energy internet optimization operation strategies and ecological protection measures which are more practical and more targeted are formulated based on the comprehensive evaluation results.

The invention relates to the technical field of electronic equipment detection, in particular to a multi-dimensional anti-candid photographing detector and a detection method thereof. The system comprises a processing unit, a thermal imaging module, an electromagnetic radiation detection module and a wireless security module, wherein the wireless security module comprises at least two wireless network interface cards, and a first wireless network card is used for connecting a specified internal network and scanning and analyzing internal network equipment; the second wireless network card works in a monitoring mode and is used for sniffing all surrounding Wi-Fi signals, Bluetooth signals and associated equipment thereof and performing data packet analysis; the user interaction module, the positioning auxiliary module, the storage unit and the power supply module are used for providing electric energy for the detector. According to the invention, four technical dimensions of thermal imaging, wireless safety detection, infrared light detection and electromagnetic radiation detection are fused, and an intelligent analysis and positioning algorithm is combined, so that the comprehensiveness, the accuracy and the efficiency of detecting candid equipment are improved, and clear positioning guidance and comprehensive safety evaluation are provided for a user.

To provide favorable systems and method for correction of positionally dependent electromagnetic radiation detected from objects within a suitable fluid column.SOLUTION: A discrimination system forms a fluid column and interrogates objects within the fluid column with an excitation source. A fluid column forming a structure creates a fluid column containing objects at differing positions within the fluid column, and an excitation source generates excitation electromagnetic radiation directed toward objects in the fluid column at a measurement region. An optical arrangement collects output electromagnetic radiation emanating from the excited objects disposed within the fluid column and directs the output electromagnetic radiation to a detector. An analyzer reduces the positional dependency of the detected intensity by normalizing a value based on the position of each object.SELECTED DRAWING: Figure 1

The invention provides a passive perception radar target classification method and system based on electromagnetic detection feature extraction, and the method comprises the steps: carrying out the multi-dimensional signal decomposition of an original scattered signal sequence through obtaining an electromagnetic radiation signal set of a target region; obtaining a time-frequency distribution feature set and a polarization response feature set corresponding to each signal acquisition period, extracting a target electromagnetic feature combination from the time-frequency distribution feature set and the polarization response feature set according to a preset electromagnetic feature association rule, generating a weight distribution parameter, and performing weighted fusion processing on the target electromagnetic feature combination to obtain a target electromagnetic feature combination; and the fusion feature vector set is input into an adaptive classification network, hierarchical classification operation is performed on the fusion feature vector set, the category identifier of the target scatterer and the corresponding classification confidence are output, and a radar detection optimization instruction is generated based on the category identifier and the corresponding classification confidence. According to the method, high-precision distinguishing of multiple types of scatterers is achieved under the passive sensing condition, and meanwhile the environmental adaptability and the calculation efficiency of the classification process are guaranteed.