121results about "Detection using electromagnetic waves" patented technology

A calibration system includes a test loop placed over one or more antennas of a logging tool, an integrated calibration transceiver, wherein the integrated calibration transceiver is disposed in an electronic chassis of the logging tool, and a port disposed in the logging tool and configured to receive a connector of the test loop to connect the test loop to the integrated calibration transceiver, wherein the integrated calibration transceiver is configured to generate a test signal to drive the test loop and receive the test signal from the test loop.

A kind of time domain ground penetrating radar intelligent forward method based on physical parameter guidance, comprising the following steps: step one: build underground medium model and generate supervision data;Step two: the ground penetrating radar GPR forward simulation is expressed as the mapping problem of " physical parameter field to radar profile ";Step three: build PhyTANet network based on encoder decoder;Step four: the PhyTANet network obtained by step three is trained, fine-tuned;From the above steps, finally, after training fine-tuning ends, the dielectric constant and conductivity distribution of any given underground medium are input, and the corresponding prediction result is obtained.The purpose of the present application is to solve the technical problems of the existing ground penetrating radar forward technology, such as insufficient accuracy, insufficient modeling of key physical parameter coupling relationship and limited time domain feature expression in complex heterogeneous medium, and the present application is proposed.

The invention relates to a monitoring system (1), comprising: a plurality of monitoring units (2, 3), wherein the monitoring system (1) is designed to monitor a line of sight (4) between a first and a second monitoring unit (2, 3) by transmitting signals between the first monitoring unit (2) and the second monitoring unit (3). The monitoring system (1) is designed to monitor the line of sight (4) by transmitting signals in the form of a radio transmission, in particular by means of a UWB radio transmission, between the first monitoring unit (2) and the second monitoring unit (3). The invention also relates to a laser machining tool arrangement having such a monitoring system (1).

A system includes a first rotary steerable tool configured to control a first drill bit to drill a first well having a first wellbore trajectory. The first rotary steerable tool includes: a first orientation and tilt assembly including a first set of sensors configured to detect a static magnetic field; and a signal source configured to generate a source signal. The system also includes a second rotary steerable tool configured to control a second drill bit to simultaneously drill a second well having a second wellbore trajectory that follows the first wellbore trajectory. The second rotary steerable tool includes a second orientation and tilt assembly including a second set of sensors configured to detect the source signal.

This invention discloses a self-feedback regularized inversion method, relating to the field of electromagnetic wave imaging technology. Its key technical points include the following steps: S1, acquiring imaging data; S2, preprocessing the imaging data; S3, establishing an inversion model, setting regularization parameters and threshold parameters, and performing initial inversion to obtain preliminary inversion results; S4, calculating error feedback coefficients based on the preliminary inversion results; S5, updating the inversion model using the error feedback coefficients; S6, iteratively inverting the updated inversion model until convergence conditions are met; S7, performing post-processing operations to obtain the final imaging result. This invention combines traditional regularized inversion methods with self-feedback control technology, effectively improving imaging quality while ensuring the stability of the inversion results. Furthermore, the method proposed in this invention has significant application value and practical significance in electromagnetic wave imaging technology.

This sensor management system comprises: an area information generation unit that uses a captured image and basic information to generate area information which is necessary for setting a monitoring area 11; a display unit 22 that displays the monitoring area 11 as an image on the basis of the area information; and a monitoring area setting unit that sets the monitoring area 11 in a sensor on the basis of the area information, wherein the sensor information acquisition unit acquires the relative positional relation between the sensor and a specific indicator M1 shown in the captured image, the area information generation unit generates the area information with the specific indicator M1 as a reference, and the monitoring area setting unit uses the relative positional relation to perform coordinate conversion of the area information and generate converted area information and sets the monitoring area 11 in the sensor on the basis of the converted area information.

The application provides a ground penetrating radar inversion method based on multi-scale feature fusion, and relates to the technical field of ground penetrating radar inversion, and comprises the following steps: S1, acquiring real-time scanning data of a current monitoring node ground penetrating radar; S2, constructing an encoder through a plurality of cascaded multi-scale hybrid convolution modules, wherein the encoder is used to acquire a multi-scale feature map of the real-time scanning data; S3, processing the multi-scale feature map to obtain a global feature map; S4, fusing the global feature map with features in the encoder through a cross-scale gating feature pyramid to generate a final fused feature map; and S5, outputting a physical property parameter distribution map of an underground medium of the real-time scanning data, so that the automation of ground penetrating radar inversion from data processing to result output is realized, the inversion precision and efficiency are greatly improved, meanwhile, complex manual preprocessing / postprocessing is not needed, and the real-time detection demand of an engineering site is adapted.

The application discloses a stepped frequency ground penetrating radar range image target positioning method and system, comprising: obtaining echo data of the stepped frequency ground penetrating radar, and synthesizing the echo data into a one-dimensional range image; generating a dynamic threshold according to the one-dimensional range image; judging rising and falling trends of a wave spectrum in the one-dimensional range image according to the dynamic threshold, and determining a wave peak region according to the judgment; judging whether the wave peak region is a target wave peak region according to a set threshold; correcting the target wave peak region according to serial numbers of a starting point, an ending point and a maximum point of the target wave peak region to determine effective data points in the corrected target wave peak region; performing weighted average processing on coordinates of the effective data points to obtain a peak point coordinate; and determining a position of a detected target according to the peak point coordinate. The application solves the problems of "pseudo-peak" and inaccurate positioning of a peak point in a common peak searching algorithm, and improves the target detection and positioning precision of the stepped frequency ground penetrating radar.

The application discloses a urine sugar early warning method and system and a closestool. The method comprises the following steps: 1) collecting spectrum data of urine entering a containing body by a spectrum sensor, wherein the spectrum sensor has a plurality of spectrum data channels, and the plurality of spectrum data channels comprise a first spectrum data channel of near ultraviolet and a second spectrum data channel of near infrared; 2) reading spectrum data of each spectrum data channel of the spectrum sensor and storing in real time; and 3) data processing: processing data of the first spectrum data channel and the second spectrum data channel, and judging whether the urine has an abnormal sugar content according to a processing result, and outputting early warning information if yes. The application can help users to quickly know whether the users have a risk of diabetes, does not need to use dry chemical test paper detection, has no problems such as high cost and consumables, does not need to use a complex mechanical and electronic structure, and is overall sanitary, environmentally friendly and low in cost.

Method and system for mapping and / or inspecting an underground pipeline infrastructure, using: a sensor probe for collecting geospatial data while travelling through a pipeline of the pipeline infrastructure, and a driving mechanism comprising a tether, for driving the sensor probe, wherein the sensor probe is provided to enter the pipeline at a vertical angle through a live-fluid entry apparatus and once inside the pipeline make a 90° angle change of direction to align with the orientation of the pipeline.

The application provides a geological prediction method and system, wherein the method comprises the following steps: arranging a plurality of radar measuring points on the ground surface of a region to be constructed according to the operation plan of a tunneling device to install radars; and detecting whether there is a geological anomaly body under the ground surface of the region to be constructed by using the radars before the tunneling device performs a tunneling operation. In the scheme, the radars are arranged on the ground surface to perform detection, thereby solving the problem that it is difficult to arrange radars between the cutting disc of the tunneling device and the tunnel face in the traditional method, so that effective monitoring of unfavorable excavation conditions is realized, and the influence of electromagnetic interference generated by the tunneling device under the ground on the radar signal is significantly reduced due to the operation of the radars on the ground surface, thereby improving the accuracy of the geological prediction.

A method that may include disposing an electromagnetic (EM) logging tool in a wellbore. The EM logging tool may include one or more transmitters disposed on the EM logging tool and one or more receivers disposed on the EM logging tool. The method may further include transmitting an electromagnetic field from the transmitter into one or more tubulars to energize the one or more tubulars with the electromagnetic field thereby producing an eddy current that emanates from the one or more tubulars, measuring the eddy current in the one or more tubulars with the receiver on at least one channel to obtain a plurality of measurements, and forming an EM log from the plurality of measurements.

An exploration system (1) comprises: a ground penetrating radar (10) that explores underground; and a control device (40) that acquires known distance information indicating a distance from one point on the ground to one point underground and reference time information indicating the reference time required for a first electromagnetic wave to reach the one point underground from the one point on the ground, calculates the relative permittivity underground, calculates the propagation speed of the first electromagnetic wave by using the relative permittivity, and calculates, by using the propagation speed, the propagation distance of the first electromagnetic wave when the ground penetrating radar (10) conducts the exploration at a point different from the one point on the ground.

The utility model provides a microwave sensor, comprising a sensor housing, the sensor housing comprises a trapezoid housing, a first transverse plate and a second transverse plate, the first transverse plate and the second transverse plate are fixed at two ends of the trapezoid housing along the width direction of the trapezoid housing, two ends of the trapezoid housing along the length direction of the trapezoid housing are respectively provided with a pair of plug connectors, the first transverse plate is provided with a first through hole, and the second transverse plate is provided with a second through hole; two second through holes are formed in the second transverse plate; the top end of the circuit board is fixedly connected with the bottom ends of the first transverse plate and the second transverse plate, a battery block, a microwave emitter, a microwave receiver, a display screen, a first prompting lamp, a second prompting lamp and a control chip are arranged at the top end of the circuit board, and third through holes are formed in the positions, corresponding to the plug connectors, of the circuit board; the first prompting lamp and the second prompting lamp correspond to the two second through holes in position, and the display screen corresponds to the first through hole in position. The beneficial effects of the utility model are that the installation offset error can be eliminated, the man-machine interaction is increased, and the plug-in type rapid deployment is realized.

The present invention provides an axis misalignment detection device that detects the axis misalignment of a radio wave sensor that emits radio waves toward the interior of a vehicle and receives the reflected waves that are reflected by objects inside the vehicle. [Solution] The system includes a reflection characteristic information generation unit (12, 12a, 12b, 12c) that generates reflection characteristic information indicating the reflection characteristics of a reflected wave from sensor information based on the reflected wave, which is a radio wave emitted by a radio wave sensor (2) toward the interior of the vehicle when there is no moving object inside the vehicle, and reference reflection characteristic information; an error detection unit (13) that compares the reflection characteristic information generated by the reflection characteristic information generation unit (12, 12a, 12b, 12c) with reference reflection characteristic information and detects the difference between the reflection characteristics and the reference reflection characteristics as an error; and a determination unit (14) that determines whether or not an axis misalignment has occurred based on the error detected by the error detection unit (13).

The utility model discloses a mobile buried inspection well positioning equipment, including movable robot, its equipped with tire type mobile mechanism, and movable robot carries high definition camera, through movable robot's radio frequency signal transmitter and ground handheld receiving terminal form detection closed loop, cooperate the environmental observation function of high definition camera, can effectively penetrate thick layer fill, concrete, asphalt and so on various kinds of covering layer, through setting the pitch angle adjusting mechanism, can be flexibly adjusted to radio frequency signal transmitter and the pitch angle of high definition camera, solved the traditional equipment detection angle fixed, difficult to adapt to the problem of different covering layer thickness, in addition, the combination design of holder mechanism and adjustable support makes radio frequency signal transmitter and high definition camera can carry out fine adjustment on horizontal direction and space attitude, provides visual reference for the check and analysis of subsequent positioning result, further improves the reliability of positioning.

An apparatus for detecting a threat object carried by or on the body of a person comprises one or more transceivers for generating and detecting RF at one or more frequencies and one or more pairs of

The application discloses a bidirectional Mamba-based YOLOv12 ground penetrating radar underground disease identification method and device, equipment and medium, and relates to the technical field of road disease identification. The method comprises the following steps: constructing a four-channel physical perception tensor containing original signals, instantaneous amplitudes, phases and frequencies by processing ground penetrating radar gray-scale B-Scan data; designing an improved MPS-YOLOv12 network, expanding the input layer to 4 channels, decoupling physical features through four differentiated projection heads, modeling global dependence through bidirectional Mamba scanning, and finally outputting disease detection results through a multi-scale detection head by using the residual fusion mechanism of amplitude gating and phase compensation. By fully mining the physical information of GPR signals and using bidirectional Mamba, the disease identification accuracy is improved, and the false detection rate under complex geological background is effectively reduced.

A new configuration is provided that measures the user's sleep state as well as the distance to the user. [Solution] The information processing device includes a detection unit including a Doppler sensor 30, a distance measuring unit that measures the distance to the user based on the output from the Doppler sensor, and a sleep state measuring unit 2708 that measures the user's sleep state in real time based on the output from the Doppler sensor.

The application provides a flushing control method and device of a smart toilet and the smart toilet, and belongs to the technical field of bathroom sanitary wares. The method comprises the following steps: emitting microwave signals in the direction of the toilet wall of the smart toilet and the use direction of the smart toilet, and receiving the reflected signals of the microwave signals, wherein the use direction corresponds to the upper side of the smart toilet; when the reflected signals in the direction of the toilet wall decrease, setting the current flushing mark as a to-be-flushed mark, and starting timing to record a first time length from the time when the to-be-flushed mark is set; when the change amount of the reflected signals in the use direction is less than a preset stable threshold, starting timing to record a second time length; when the reflected signals in the use direction represent that the distance between the user and the smart toilet becomes far, determining that the user leaves, and stopping timing and determining the first time length and the second time length when the timing stops, and controlling the smart toilet to flush under the corresponding flushing amount according to the size of the first time length and the second time length under the to-be-flushed mark.

The present application relates to the technical field of automobile safety prevention and control, and particularly relates to a method and system for detecting children left in a vehicle. The method for detecting children left in a vehicle comprises the following steps: S3: generating a thermal effect map according to the extracted information related to the movement of a living target, and determining whether a passenger is left in the vehicle; S6: obtaining the size of a human body limb according to the information of the pixel coordinate points of the human body skeleton, fitting the volume of the passenger by the size of the human body limb, and thus completing the judgment of the passenger category; and S7: according to the judgment results of steps S3 and S6, the CPD system can send an alarm information. According to the common judgment results of the millimeter wave radar and the camera, the CPD system sends an alarm information, compared with the prior art in which the millimeter wave radar or the camera is used alone as the direct detection device of the CPD system, the false alarm and the missed alarm risks are greatly reduced.

The application discloses a detection and positioning method of hidden GPS equipment based on radio frequency information leakage. The GPS equipment generates specific electromagnetic radiation spectrum when receiving and processing satellite positioning signals, which can be regarded as the physical unclonable function of the equipment, independent of the use state of the equipment, and reflects the unique hardware characteristics of the equipment. In the embodiment, a wide-spectrum wireless signal catcher is constructed by using USRPX310 and a near-field probe to capture the electromagnetic radiation spectrum generated by the hidden GPS equipment and perform signal analysis. If a suspected GPS equipment is found, the system transmits an analog satellite positioning signal through the USRPX310 to induce the GPS equipment to generate stronger electromagnetic radiation to confirm the existence of the GPS equipment and enhance the detection distance. Finally, the user positions the hidden GPS equipment by moving the near-field probe.

The utility model discloses a corner reflecting device with a rotating function. The corner reflecting device comprises a cross beam, corner reflecting plates arranged at the two ends of the cross beam, a base for integrally supporting, a motor driving system arranged in the base, and a rotary supporting mechanism for connecting the cross beam and the base. The corner reflecting plate is formed by vertically welding a rectangular plate, an isosceles triangle plate and two right-angle triangular plates, and is used for reflecting electromagnetic wave signals at multiple angles. The cross beam is of an inner-outer two-stage box structure and is connected through a pin shaft, the telescopic function is achieved, and transportation and storage are convenient. Universal wheels are mounted on the base, so that the moving flexibility of the device is enhanced. The motor driving system and a second rotary support of the rotary supporting mechanism form a gear pair through a gear at the output end, and the cross beam is driven to rotate by 360 degrees. The device is simple in structure, convenient to assemble, disassemble and transfer, has a rotating function, is high in reflecting capacity and large in reflecting area, and can realize continuous reflection of electromagnetic wave signals.

The utility model discloses a kind of marine diesel engine piston sealing steel ring fracture detection systems, it is related to marine diesel engine fault detection technical field, comprising: detection component and receiving component.Detection component is embedded and installed in sealing steel ring inside, for detecting whether sealing steel ring breaks, receiving component is fixed on diesel engine cylinder sleeve outer wall, and receiving component is used to receive the signal change of detection component.The utility model, using magnetic piece and magnetic sensor combination design, directly reflect sealing steel ring fracture state using magnetic field mutation, while integrated RFID label realizes double verification, reduces the false alarm rate of single sensor by RFID label signal change auxiliary judgment.

This invention relates to the field of ground-penetrating radar (GPR) data inversion technology, and discloses a method, apparatus, equipment, and medium for locating defects using phased-array GPR. The method includes: acquiring multi-channel raw echo data through broadband scanning and transmission focusing, and initially identifying suspected defect locations; performing multi-layer medium model inversion on each profile based on the multi-channel raw echo data, wherein the multi-layer medium model includes the dielectric constant and interface depth field of the multi-layer medium; solving the propagation path and arrival time of electromagnetic waves from each channel to the suspected defect location based on the multi-layer medium model, obtaining the delay time of each channel; performing time alignment of the echo data of each channel based on the delay time of each channel, and superimposing the multi-channel echo data to obtain a superimposed image of each profile; and locating the defect within the neighborhood of the suspected defect location based on the superimposed image of each profile. This invention can improve the detection accuracy of deep, weak defects.

Provided is a presence estimation method using Wi-Fi CSI data including: extracting, by a system, CSI data of Wi-Fi from data transmitted by a Wi-Fi AP; and training, by the system, a presence estimation model by using the extracted CSI data as training data. When estimating the presence, it is possible to reduce sensor installation costs by using CSI data extracted from data packets transmitted by and collected from a Wi-Fi AP already installed, without installing additional sensors.