525results about "Material analysis using microwave means" patented technology

The invention relates to the technical field of water quality pollution detection, in particular to a water quality pollution rapid detection method driven by a quantum sensing technology. A quantum sensor array is deployed in a water area to be detected, and quantum signal response data of the water area is collected; constructing a pollutant quantum recognition model, and inputting quantum signal response data into the model to obtain an initial predicted value of pollutant concentration; generating an initial detection parameter of the quantum detection instrument based on the initial predicted value, executing primary pollution detection by the instrument according to the parameter, and collecting primary deviation data of an actual detection value and an expected detection value; determining a detection error according to the deviation data, further correcting the initial detection parameter, and generating an optimized detection parameter; and finally, the instrument performs secondary pollution detection based on the optimized detection parameters. According to the method, complex water sample pretreatment is not needed, water quality pollution detection can be rapidly and accurately completed, detection requirements of different water areas are met, and the detection efficiency and accuracy are improved.

A method accessing a pre-trained specific material database associating each of a plurality of materials with a corresponding material profile, each material profile including one or more parameters including at least one of a transmit frequency and a response frequency; receiving a selection of a target material from a user; identifying first material profile associated with the target material using the pre-trained specific material database; transmitting, via an RF detection device, an RF signal into the target material using the one or more parameters for the target material associated with the first material profile; receiving, via the RF detection device, a response signal from the target material; analyzing the response signal using an AI algorithm to determine whether resonance characteristics of the response signal indicate a presence of the target material; and notifying the user if the presence of the target material is indicated by the resonance characteristics.

A system for material detection and identification includes an interface configured to access a material database associating each of a plurality of materials with a resonance frequency and one or more transmission parameters; an RF transmitter configured to, for each material of at least a subset of the plurality of materials in the material database transmit into an environment an RF signal the resonance frequency for the material using the one or more transmission parameters; an RF receiver configured to receive a response signal from the environment; and a processor configured to analyze the response signal for resonance characteristics that indicate a presence of the material and identify the material to a user if the presence of the material is indicated by the resonance characteristics.

A method includes detecting interaction by a user with an entry detector; collecting credentials from the user; and, if the credentials indicate that the user is authorized to enter, accessing a material database associating each of a set of materials with one or more corresponding resonance frequencies; and for each material of the set of materials: transmitting, into an environment associated with the user, an RF signal at a first resonance frequency for a material of the set of materials; receiving a response signal from the environment; analyzing the response signal from the environment for resonance characteristics that indicate a presence of the material; and in response to the presence of the material being indicated: determining whether an action is required for the material; and if the action is required for the material, actuating an access apparatus to perform the action.

A method for material detection may include extracting, from a material database, a resonance frequency for the target material. The method may further include comparing an application type to entries in a scan database. The scan database may store pre-defined scanning patterns and corresponding application types. The method may include extracting, from the scan database, a scan sequence for the application type. Also, the method may include instructing a gimbal to follow positions in the scan sequence. The method may also include transmitting into an environment an RF signal when the gimbal is at the positions in the scan sequence. The method may further include receiving a response signal from the environment. The method may include generating a haptic feedback to indicate a directionality or a proximity to the target material. The method may include analyzing the response signal for resonance characteristics that indicate a presence of the target material.

A system for currency verification includes a currency apparatus configured for receiving alleged currency to be verified; at least one processor; a non-transitory computer-readable medium configured for storing instructions that, when executed by the at least one processor, perform a method comprising: accessing a material database associating each of a set of materials found in authentic currency with one or more corresponding resonance frequencies; for each material of the set of materials: transmitting into the alleged currency an RF signal at a first resonance frequency for each material; receiving a response signal from the alleged currency; and analyzing the response signal for resonance characteristics that indicate a presence of each material; and a display device configured for outputting that the alleged currency is authentic if the presence of at least a subset of the set of materials found in the authentic currency is indicated.

A system for material detection and identification including: an RF transmitter configured for transmitting into an environment an RF signal at a first resonance frequency for a target material, wherein the first resonance frequency is obtained from a material database associating each of a plurality of materials with one or more corresponding resonance frequencies; an RF receiver configured for receiving a resultant response signal from the environment; and a processor configured for: analyzing the resultant response signal for resonance characteristics that indicate a presence of the target material, wherein analyzing includes, if the resonance characteristics are detected and no other material in the material database shares similar resonance characteristics for the first resonance frequency, reporting to a user that the target material has been identified.

The invention discloses a visibility inversion method based on millimeter wave cloud radar and laser radar data fusion, and relates to the technical field of meteorology, and the method comprises the steps: guiding a millimeter wave cloud radar and a laser radar to carry out data correction and equivalent relation construction through employing a fog drop particle size distribution function measured by a fog drop spectrometer in a sample scene in advance; and then applying the correction coefficient and the equivalent function relationship to a target scene to perform multi-source data correction and fusion on the millimeter wave cloud radar and the laser radar and invert visibility. The method can fuse complementary advantages of the laser radar and the millimeter wave cloud radar; the introduction of the fogdrop particle size distribution function effectively avoids the distribution hypothesis of fogdrop shapes in the traditional model, can weaken the seasonal drift of the traditional empirical coefficient, significantly improves the accuracy and reliability of visibility inversion, and achieves the high-precision visibility monitoring under various weather conditions from clear sky to dense fog.

A method accessing a pre-trained specific material database associating each of a plurality of materials with a corresponding material profile, each material profile including one or more parameters including at least one of a transmit frequency and a response frequency; receiving a selection of a target material from a user; identifying first material profile associated with the target material using the pre-trained specific material database; transmitting, via an RF detection device, an RF signal into the target material using the one or more parameters for the target material associated with the first material profile; receiving, via the RF detection device, a response signal from the target material; analyzing the response signal using an AI algorithm to determine whether resonance characteristics of the response signal indicate a presence of the target material; and notifying the user if the presence of the target material is indicated by the resonance characteristics.

The present application relates to a kind of method and device for judging the trend of concrete oblique crack tip, fill metal powder in the crack to be measured;Determine the beginning and end point of crack trend according to the opening trend of crack surface to be measured, draw the center line of the connecting line of beginning and end point as the first measuring line, respectively from the two end points of the first measuring line along the first measuring line to crack opening position detection using electromagnetic wave radar detector, record the position and depth of the first fluctuation point on radar development map;With the first measuring line as reference line, rotate to make several new measuring lines, obtain the position and depth of the first fluctuation point of each new measuring line;Fluctuation point is sorted according to measuring line sequence, draw the connecting line diagram, i.e. the trend curve of oblique crack tip.The present application is based on the essential characteristics such as the height and form of oblique crack tip position, combined with the measurement mode from far to near, multi-angle, multiple measuring points and the reflection law of radar wave by metal powder, the position and depth of multiple points of concrete oblique crack tip are measured, and then the trend of crack tip is effectively judged.

The invention discloses a working temperature control method of a Josephson probe and a method for regulating and controlling the thickness of an Nb film, the working temperature of the Nb-based probe is increased to 7.2 K by regulating and controlling the film thickness parameter and controlling the working temperature of the probe, and the highest record of similar probes is created. According to the method for regulating and controlling the thickness of the Nb film, a four-groove quartz tube is selected as a substrate, and after ultrasonic cleaning, a nano needle tip is drawn by adopting a laser heating method, so that a needle tip structure with a clean surface and a controllable geometric structure is obtained; and horizontally fixing the prepared nano needle tip on a probe bracket, depositing a niobium film by adopting a magnetron sputtering process, and controlling the thickness of the Nb film to prepare the Josephson probe. According to the invention, the dependence of the probe on an extremely low temperature environment is obviously reduced, the limitation of the original process is broken, the available film thickness range is effectively widened, the preparation yield and the performance consistency of the probe are obviously improved, and a reliable device basis is provided for the practical development of near-field microwave imaging and quantum sensing technologies.

A method includes accessing a material database associating each of a plurality of materials with one or more corresponding resonance frequencies; for each material of at least a subset of the plurality of materials in the material database: transmitting, via an RF transmitter, an RF signal into a target at a first resonance frequency for each material; receiving, via an RF receiver, a response signal from the target; and analyzing the response signal for resonance characteristics that indicate a presence of each material in the target; generating a report of each material in the target indicated by the resonance characteristics; and integrating the report with at least one of: a timestamp; image or video data from a camera; or geolocation data from a geolocation sensor.

The invention belongs to the technical field of near-field imaging, and particularly relates to a microwave and millimeter wave near-field subsurface microscopic imaging device and method based on signal interference, and the device comprises a vector network analyzer, a signal separation device, a phase adjustment device, a semi-steel coaxial line, a displacement platform, and an industrial control computer. The vector network analyzer comprises a signal separation unit, a frequency synthesis source, a first receiver and a second receiver, wherein the frequency synthesis source, the first receiver and the second receiver are respectively connected with the signal separation unit and used for generating microwave and millimeter wave test signals. The signal separation device is respectively connected with the vector network analyzer, the phase adjusting device and the semi-steel coaxial line, and the displacement table is connected with the vector network analyzer through the industrial personal computer; the tail end of the semi-steel coaxial line, which is far away from the signal separation device, is provided with a conical needle tip-shaped near-field probe; and the needle tip of the near-field probe is vertical to the surface of a to-be-detected sample arranged on the displacement table.

The invention discloses a two-phase cold plate liquid cooling dryness real-time measurement method and system based on data fusion, and relates to the technical field of liquid cooling data processing, and the method comprises the following steps: S1, collecting multi-mode liquid cooling working condition data in real time, carrying out the data preprocessing, carrying out the fusion of original dryness according to three types of dryness signals, and evaluating the health degree of signal fusion; s2, dynamically distributing adaptive signal weights for each type of dryness signals to obtain high-precision fusion dryness, and performing anomaly diagnosis; s3, the high-precision fusion dryness is optimized, flow adjustment is carried out, meanwhile, dead zone compensation of flow adjustment is carried out, and flow compensation correction is carried out; and S4, monitoring a flow regulation process and abnormal information in real time, and performing high-precision visual feedback and operation and maintenance optimization of the fusion dryness. The problems that an existing two-phase cold plate liquid cooling system generally adopts a single dryness detection mode and is prone to being interfered by the environment and lagging in response, so that the dryness measurement precision is insufficient, and the reliability and the heat dissipation efficiency of cooling capacity adjustment are affected are solved.

The invention relates to the technical field of gas parameter extraction, in particular to a gas physical property parameter extraction method based on micro thermal field dynamic characteristics, which comprises the following steps: applying a sweep frequency excitation electric signal to a micro heater of an MEMS sensor, collecting and processing an original dynamic response signal, and generating frequency domain response data; constructing a parameterized extraction model, extracting real-time physical property parameters from the frequency domain response data, substituting the real-time physical property parameters into a signal-to-noise ratio objective function, and calculating and generating optimized excitation parameters; generating an updated sweep frequency excitation electric signal based on the optimized excitation parameter; acquiring and generating reference frequency domain response data; actually measured physical property parameters are extracted from the reference frequency domain response data, a measurement deviation signal is generated through comparison, and online calibration and correction are conducted on internal coefficients of the parameterized extraction model. According to the method, the frequency domain response of the dynamic micro thermal field is subjected to decoupling analysis, and an online self-adaption and self-correction mechanism is combined, so that accurate and reliable online extraction of the physical property parameters of the complex mixed gas is realized.

A plasma processing control method for detecting an endpoint and controlling plasma processing is disclosed. The plasma processing control method includes tracking one or more harmonics that are produced due to nonlinearity of an impedance of a plasma environment. The one or more harmonics are associated with voltage, current, or a combination thereof. The plasma processing control method further includes analyzing the tracked one or more harmonics and detecting an endpoint of plasma processing based on the analysis of the tracked one or more harmonics. Thereafter, the plasma processing control method includes stopping the plasma processing based on the detected endpoint.

The invention relates to the technical field of structural health monitoring and safety evaluation, and discloses an acoustic emission-microwave fused concrete crack resistance monitoring method, which comprises the following steps: S1, data acquisition: acquiring an acoustic emission signal and a microwave signal of a concrete structure; s2, a signal preprocessing step: performing noise reduction, feature extraction and environment compensation on the acoustic emission signal and the microwave signal; and S3, data fusion: fusing the acoustic emission signal and the microwave signal by adopting a Bayesian optimization method. The invention further provides an acoustic emission-microwave fusion concrete anti-cracking performance monitoring device and an acoustic emission-microwave fusion concrete anti-cracking performance monitoring system. Through dynamic monitoring adjustment, an environment correction prediction model and a structural stability evaluation method, accurate tracking of crack propagation, intelligent prediction of long-term trend and quantitative evaluation of bearing capacity are realized, and the real-time performance, accuracy and comprehensiveness of structural health monitoring are improved.

The invention provides a water quality pollution tracing method and system applied to a wave radar sea area, and the method comprises the steps: firstly obtaining a sea area polarization echo time sequence set captured by a wave radar and a sea area pollutant characteristic set measured synchronously, and then carrying out the polarization characteristic deconstruction processing of the sea area polarization echo time sequence set; a polarization characteristic parameter set of each sea area block is obtained, then a pollutant molecular structure and a polarization reflection coefficient in the sea area pollutant characteristic set are associated and adapted with the polarization characteristic parameter set to generate a pollution polarization association map, and a polarization-driven pollution traceability model is constructed based on the pollution polarization association map. The method comprises the steps of inputting a pollution polarization correlation map and preset sea area ocean current parameters, outputting a traceability path set of pollutants and an initial pollution area boundary, finally analyzing an original diffusion starting point of the pollutants according to a polarization-driven pollution traceability model, and generating a pollution traceability report containing information such as coordinates of the initial pollution area. Therefore, a sea water quality pollution source can be accurately positioned.

The utility model relates to a nondestructive testing device for a concrete diaphragm wall of a water conservancy project. Comprising a geological radar and further comprises a mounting frame and a sweeping assembly, the geological radar is fixedly connected to the mounting frame, the sweeping assembly is fixedly connected to the mounting frame, the sweeping assembly is located on the lower side of the geological radar, and the sweeping assembly is used for sweeping impurities on the concrete diaphragm wall. When an operator moves the geological radar and detects the wall surface of the concrete anti-seepage wall, the cleaning assembly cleans impurities on the concrete anti-seepage wall, the possibility that the impurities such as soil and moss adhere to the antenna of the geological radar can be reduced, the possibility that interference signals or artifacts appear in radar images can be reduced, and the detection accuracy of the concrete anti-seepage wall is improved. And the possibility that the accuracy and the reliability of the detection result are influenced can be reduced.

Globally our environment comprises structures built to perform a meet different requirements including residential, commercial, retail, recreational and service infrastructure. Whilst millions of tons of construction materials are deployed annually the quality control procedures in many instances have not changed to reflect today's demands. Accordingly, it would be beneficial to provide construction companies, engineering companies, infrastructure owners, regulators, etc. with means to automated testing / characterization of construction materials during at least one of its manufacture, deployment in construction and subsequent infrastructure life. It would be further beneficial for such automated methods to exploit self-contained data acquisition / logging modules allowing them to be employed with ease at the different points in the life cycle of a construction material and / or construction project.

The invention discloses a lossless evaluation method and device for the repair completion degree of a lining void disease of a hydraulic tunnel. The method comprises the following steps: acquiring a void geometric boundary, and constructing a corrected slurry time-varying electrical constitutive model based on fusion of laboratory test and field embedded sensing data; collecting a ground penetrating radar response sequence in a plurality of curing ages after grouting; performing constraint analysis on the ground penetrating radar sequence by using a multi-physical field coupling model or a physical constraint machine learning model containing slurry seepage, solidification dynamics and electromagnetic wave propagation, and reconstructing a slurry space filling state field; and inferring a receiving state of a far-end node in combination with the void-fracture network topology model, generating a residual void risk quantitative index, and generating a refilling decision. According to the method, through an observation-estimation-prediction-control closed loop mechanism, the problems of model parameter distortion and uncontrollability of a far-end blind area in a traditional method are solved, and accurate quantitative evaluation of the repair quality is realized.

The invention belongs to the technical field of radar stealth testing, and particularly relates to a method for obtaining background scattering by measuring the RCS of a cone and a related device. The method comprises the following steps: mounting an eccentric cone on a low-scattering bracket, and enabling the mounting center of the eccentric cone to coincide with the rotating center of a rotary table of the low-scattering bracket; transmitting radar waves to the eccentric cone, rotating the turntable by a set angle at a fixed step length, and collecting echo signals of the eccentric cone rotating by the set angle; and performing fitting based on the acquired echo signal to obtain a background signal. According to the method, an eccentric cone is used as a calibration carrier, a high-signal-to-noise-ratio circular track is formed on a complex plane when the eccentric cone rotates, an optimal circle model is fitted by adopting an RANSAC method, and abnormal value elimination and background estimation are synchronously realized.

Aspects of the disclosure are directed to prediction of a predicted material profile of the target object based on measurement information associated with sensing (RF-S) signal(s). In an aspect, one or more actions are performed in response to the predicted material profile of the target object, the one or more actions including, e.g., constructing at least one digital twin associated with the target object based on the predicted material profile of the target object, or modifying operation of a wireless communications network, or a combination thereof. Such aspects may provide various technical advantages, such as more accurate digital twin generation (e.g., digital twins may be updated to reflected material profiles of objects detected in real-world), improved network operation (e.g., permit line of sight (LOS) through objects with certain material profiles, block LOS through objects with other material profiles, etc.), and so on.

The invention belongs to the technical field of brix meters, and particularly relates to a multi-dimensional compensation and dynamic filtering high-precision measurement method for a brix meter, and the method comprises the following steps: S1, after a system is initialized, receiving a phase difference of a microwave brix meter; s2, dynamically identifying noise features and retaining effective signals by adopting an adaptive filtering algorithm; s3, constructing a temperature and phase difference dynamic correction model by adopting a temperature compensation algorithm, and dynamically adjusting a correction coefficient according to the real-time temperature; s4, a pipeline pressure compensation algorithm is adopted, real-time pressure data are collected through a pressure sensor, and a pressure-density-phase difference correlation model is established; s5, fusing temperature and pressure compensation parameters through a collaborative algorithm, and forming an error correction and noise purification closed loop in combination with filtering processing; and S6, after data fitting, outputting an analog quantity, and displaying the brix by a microwave brix meter. According to the invention, through multi-parameter cooperative compensation and dynamic filtering, the defects of the existing brix calculation method technology can be overcome, and the method has a good market application prospect.

A method of operation of a measurement system includes: generating a microwave excitation towards a sample; scanning the sample along a path at a first vertical position relative to the sample; capturing a first microwave response along the path at the first vertical position based on the microwave excitation; generating a first channel voltage based on the first microwave response; scanning the sample along the path at a second vertical position relative to the sample; capturing a second microwave response along the path at the second vertical position based on the microwave excitation; generating a second channel voltage based on the second microwave response; and determining a voltage difference between the first channel voltage based on the first vertical position and the second channel voltage based on the second vertical position for characterizing the sample.

A method for determining a property of a variable coating (VB) in a measuring tube (MR), comprising at least the following steps: emitting an excitation signal (ES) using a first microwave antenna (MA1), wherein the excitation signal (ES) comprises a sequence of radio frequency signals; receiving a transmission signal (TS) emanating from the excitation signal (ES) using a second microwave antenna (MA2); receiving a reflection signal (RS) emanating from the excitation signal (ES) using the first microwave antenna (MA1); determining a first test quantity (P1) based on the received transmission signal (TS); determining a second test quantity (P2) based on the received reflection signal (RS); determining the property of the variable coating (VB) based on the first test quantity (P1) and based on the second test quantity (P2).

The invention relates to an apparatus (1) for thawing food, the apparatus 1 being preferably a thawing drum or a thawing mixer, comprising a thawing chamber (3) for accommodating food, wherein the thawing chamber (3) comprises a sensor (10) for sensing a degree of freezing of the food accommodated in the thawing chamber (3), the sensor (10) comprising a microwave emitter (11) and a microwave receiver (12) spaced apart from the microwave emitter (11), the microwave receiver (12) being further configured to receive an emission signal emitted by the microwave emitter (11), wherein the microwave emitter (11) and the microwave receiver (12) are arranged inside the thawing chamber (3) such that, during a thawing process with the apparatus (1), the food is at least temporarily located between the microwave emitter (11) and the microwave receiver (12).

The application relates to a rice key growth period monitoring method based on time sequence SAR and accumulated temperature, wherein the method comprises the following steps: acquiring year time sequence VH curves and year time sequence VV curves corresponding to time sequence SAR of rice in a target area, performing filtering and smoothing processing on the year time sequence VH curves to obtain a smooth curve corresponding to the year time sequence VH curves, and determining a rice sowing period according to the smooth curve; extracting accumulated temperature information from the rice sowing period to a rice booting to heading date of the target area, and constructing multi-scale information of the year time sequence VV curves; extracting tillering period information and fruit development and maturation period information in the key growth period of the rice according to the multi-scale information, and extracting booting to heading period information in the key growth period of the rice in the target area based on the multi-scale information and the accumulated temperature information. Therefore, the problems that crop growth period information is not fully utilized and climate factors are not considered in the existing rice monitoring method are solved.

The utility model relates to the technical field of liquid detection, in particular to a liquid detector which comprises a shell, a non-metal container detection platform and a metal container detection cavity are arranged at the top of the shell, and a non-metal container detection module is arranged in the non-metal container detection platform. The nonmetal container detection module comprises an ultra-wide-band pulse microwave transmitter and an ultra-wide-band pulse microwave receiver, a metal container detection module is arranged in the metal container detection cavity and comprises an electric heater and a thermoelectric sensor, and a first indicator lamp and a second indicator lamp of a touch operation screen are arranged on the front side of the shell. A detachable bottom plate is arranged at the bottom of the shell, and four leveling pieces are arranged at the bottom of the bottom plate. According to the liquid detector, a non-contact detection method is adopted, and a container is prevented from being opened for sampling, so that the risk of leakage, evaporation or explosion of flammable and explosive liquid is remarkably reduced, the safety of operators is ensured, and potential threats to the surrounding environment are also reduced.

To provide a dielectric constant measuring method for reducing an analysis error of a dielectric constant in measurement by a free space method.SOLUTION: The method includes a step of preparing a first complex electric field distribution on an incident plane P1 of a dielectric sample 33, a step of preparing a second complex electric field distribution on an emission plane P2 of an electromagnetic wave transmitted from a receiving horn antenna and assumed to be incident on the dielectric sample 33 in a direction opposite to an emission direction of the electromagnetic wave, a step of calculating an angular spectrum distribution on a wave number space by inverse Fourier transformation of the first complex electric field distribution, a step of measuring a thickness of the dielectric sample 33 in a direction along an electromagnetic wave transmission direction, a step of calculating a reference of a complex electric field distribution which is a complex electric field distribution when the electromagnetic wave propagates in a free space by a distance corresponding to the thickness, and a step of obtaining a third complex electric field distribution of the electromagnetic wave propagating in the emission direction on the emission plane P2.SELECTED DRAWING: Figure 2