95 results about "Remote detection" patented technology

The invention provides an electric power iron tower remote detection fastener and a detection method thereof, and relates to the technical field of electric power facility steel constructions.The electric power iron tower remote detection fastener comprises a bolt, a nut is in threaded connection with the bolt, and an electric power iron tower steel structure is arranged on a bolt rod between the nut and a bolt cap of the bolt; grooved gaskets are arranged on the portions, between the bolt and the electric iron tower steel structure and between the nut and the electric iron tower steel structure, of the tightening latch, and label gaskets are arranged on the portions, between the bolt and the grooved gaskets and between the nut and the grooved gaskets, of the tightening latch. According to the invention, the fastening force change of the bolt and the nut is converted into a measurable signal of the electronic tag through the cooperation of a mechanical structure in the tag gasket and a circuit, and lossless and remote detection of the fastening state of the electric iron tower is realized.

The present invention relates to a signal interference prevention and sensor security device of a cognitive detection sensor system and, more specifically, to a signal interference prevention and sensor security device of a cognitive detection sensor system in which a unique identification signal including a self-identification code, such as a series of ID-codes or encryption codes, unique to each cognitive detection sensor is assigned, sensor malfunction caused by signal interference by another device is prevented by using the unique identification signal, and an external illegal signal is blocked to enhance sensor security, wherein a plurality of objects on a detection area are detected by using one cognitive detection sensor, and the plurality of objects present on the detection area, divided into sections, are detected by using the unique identification signal, such that information such as the locations, speeds, number, types, and shapes of the objects can be remotely detected and recognized.

The utility model provides a remote lightning protection detection device, which belongs to the technical field of lightning protection detection, mainly aims to solve the problem of convenience of the conventional lightning protection detection device, and comprises a shell, a coiling button is arranged on one side of the shell, two groups of wire arrangement channels are respectively arranged on two sides of the shell, and two groups of wire arrangement pieces are respectively clamped in the two groups of wire arrangement channels. A mounting cavity is formed in the shell, winding assemblies are arranged in the mounting cavity, a connecting circuit board is arranged between the winding assemblies, a control box is arranged below the winding assemblies, a remote detection assembly is arranged in the control box, and a lightning arrester is arranged on one side of the remote detection assembly; through the arrangement of the wire winding assembly, when a user needs to recycle a line, the device can automatically recycle the line only by pressing a wire winding button, and through the arrangement of a torque sensor in the wire winding assembly, when the user pulls and releases the line manually, the wire winding assembly can assist the user to release the line, so that the convenience is improved.

The invention discloses a video transmission method and device for bridge detection, equipment and a storage medium. The method comprises the following steps: acquiring video data acquired by an unmanned aerial vehicle and disease identification data including information such as disease types, positions and confidence coefficients; segmenting the video data to obtain a plurality of fragments, packaging the fragments and the disease identification data to obtain a video stream data packet and a disease identification data packet, and transmitting the video stream data packet and the disease identification data packet; analyzing the video stream data packet, grouping and recombining to obtain a recombined video frame, and analyzing the disease identification data packet to determine a boundary to obtain an identification result; cooperative detection data are obtained through time sequence synchronous calibration, the disease information and the video frames are subjected to superposition rendering, and an enhanced video stream containing a disease labeling box, a type text and a confidence coefficient identifier is generated. According to the method, the packet loss resistance and the synchronization precision are improved, an end-to-end closed-loop transmission system is constructed, and the accuracy and the efficiency of bridge remote detection are effectively improved.

The invention relates to the technical field of detection robots, in particular to a remote detection robot for tall buildings, which comprises a bracket, a hanging ring fixed at the end part of the bracket, a transverse plate fixed on the surface of the bracket, a slot formed in the surface of the bracket, an inserting block inserted in the slot, a moving plate fixed at the end part of the inserting block, and a probe fixed on the surface of the moving plate, a lead screw is arranged in the open groove. The vacuum equipment has the beneficial effects that the vacuum equipment is connected with a second suction cup through a first butt joint opening, a support can be adsorbed to the outer layer of a building through the second suction cup, the first suction cup does not adsorb any more, and in the process that the support is driven by lifting equipment to ascend, a first motor drives a lead screw to rotate, so that a moving plate is kept in situ; in the whole process, the probe can be lifted and moved only through lifting equipment, and a sliding rail does not need to be used.

The invention discloses a water conservancy facility remote detection system based on cloud computing, and relates to the technical field of water conservancy projects, the acceleration of a preset node of a water conservancy facility, water level condition data and water conservancy facility quality parameters are collected, the water level condition data are analyzed, and a hydrodynamic pressure matrix under a preset water level working condition is obtained; calculating a fluid additional mass parameter according to the hydrodynamic pressure matrix, performing spectral analysis on the acceleration, extracting a fundamental frequency, calculating a vibration mode transmissibility, calculating a total stiffness parameter based on the fundamental frequency, the fluid additional mass parameter and a water conservancy facility mass parameter, and obtaining a stiffness decoupling coefficient based on the vibration mode transmissibility, according to the method, the total rigidity is decoupled into the foundation constraint rigidity and the structure intrinsic rigidity, the physical damage state and the foundation operation state of the structure body are judged according to the structure intrinsic rigidity parameter and the foundation constraint rigidity parameter, the influence of the fluid additional mass and the foundation effect is decoupled under the complex working condition, and the structure health state recognition accuracy is improved.

The invention discloses a detection method and system for a long-distance scene PRACH signal and a medium, and relates to the technical field of 5G mobile communication. The method comprises the following steps of: carrying out time delay detection (rough detection) on repetitive sequences by utilizing the correlation of ZC sequences to judge which repetitive sequence the main peak is located in, and judging which window the main peak appears in, then carrying out five-window merging processing (fine detection) on the repetitive sequences after being repeatedly merged, and judging which window the main peak appears in. Estimating accurate time offset and frequency offset by using the minimum path between the main peak and the window cyclic shift value; according to the scheme, the PRACH signal detection algorithm is optimized, and the remote detection of the PRACH signal in a large frequency offset scene is realized based on the modes of coarse detection, fine detection and five-window combination judgment.

The utility model belongs to the technical field of steel bar detection, especially relate to a reinforced concrete structure corrosion remote detection device, including steel bar rust quantitative detector, steel bar rust quantitative detector top end is equipped with support frame, steel bar rust quantitative detector both sides are equipped with X -ray emitter and X -ray detector respectively, support frame middle part is equipped with mounting seat. Through installing X -ray emitter and X -ray detector on steel bar rust quantitative detector, can let the X -ray emitter on steel bar rust quantitative detector emit X -ray, let X -ray shoot to the steel bar surface in the concrete, again through X -ray detector capture the ray of steel bar penetration, and form visual image on the display, again through signal antenna will image emit to remote control center, thereby can fast the steel bar corrosion in reinforced concrete is carried out effective remote detection, need not manual detection of artificial, improved the accuracy and convenience of device detection time.

A voltage measurement sense signal system for an information handling system. The voltage measurement sense signal system includes a power source, the power source having an associated voltage differential, the power source having a remote sense signal; and, a voltage measurement sense signal circuit, the voltage measurement sense signal circuit being coupled to the remote sense signal and another remote sense signal, the voltage measurement sense signal circuit combining remote sense signal and another remote sense signal before traversing a combined remote sense signal to a subsequent recipient.

A variety of methods and systems for detecting top of cement in well operations are disclosed, including, in one embodiment, a method for detecting top of cement, including: emitting input energy signals into a cement displacement fluid positioned in a casing, wherein the input energy signals travel in the cement displacement fluid down the casing and are reflected in the casing to form reflected energy signals that return to a surface, and wherein the input energy signals are emitted while a cement composition is setting to harden and form compressive strength in a borehole annulus; measuring one or more properties of the reflected energy signals; and determining the top of cement of the cement composition in the borehole annulus based on at least the one or more properties and temperature data of the borehole.

A scanning environment includes a real-time signal generation for remote detection of the position of a portable X-ray scanning system with reference to a transmission detector. Prior to generating an X-ray scan, the portable X-ray scanning system must be positioned such that X-rays generated by an X-ray source, of the portable X-ray scanning system, strikes all or a portion of the transmission detector. In some cases, the transmission detector panel may be positioned at a distance from the portable X-ray scanning system. The transmission detector may even be out of sight of the X-ray source. For these cases a real-time signal is generated and processed to indicate whether an X-ray beam is striking the transmission detector. If the X-ray beam is not striking the transmission detector, feedback is generated, real-time, indicating a direction in which the X-ray beam should be moved.

The invention relates to the technical field of gas detection, and particularly discloses a limited space gas detection device which comprises a supporting ring fixed at the upper end of a wellhead, a suspender, a swing arm and a rotating rail, the upper end of the suspender is fixed in the supporting ring, the suspender is detachably connected with the supporting ring, the suspender is of a hollow structure, and a length-adjustable telescopic rod is inserted into the bottom of the suspender; the bottom of the telescopic rod is connected with a pull block, one end of the swing arm is rotatably connected with the pull block, the end part of the swing arm is connected with a supporting block with an adjustable distance, the middle part of the rotating rail is connected with the supporting block through a rotating shaft, and the rotating rail is provided with a gas detector capable of moving in the length direction of the rotating rail; comprehensive and remote detection of gas in a limited space is achieved, workers are effectively prevented from directly entering a dangerous environment, the limitation that a traditional device can only detect a well mouth area is overcome, it is ensured that gas in hidden areas such as a well bottom and a transverse well is accurately detected, operation safety is improved, and detection efficiency and accuracy are improved.

The utility model relates to the technical field of cold box start-up, and discloses a dew point analysis device for cold box start-up. The dew point analysis device for cold box driving comprises a connecting pipe, a sealing cover is movably installed at the upper end of the connecting pipe, a connecting bolt is installed above the sealing cover in a penetrating mode, a nut is movably installed at the tail end of the connecting bolt, a connecting column is fixedly installed on the front side of the connecting pipe, and the connecting column is filled with sealing filler. The limiting column can limit the relative position between the probe and the connecting pipe, so that the bottom end of the probe is always located in the center of the connecting pipe, the connecting pipe can be directly installed on one side of the expansion machine through the flange structures at the two ends, gas in the expansion machine is guided to pass through the bottom end of the probe, and detection data can be conveniently transmitted through the interface. Manual operation can be reduced, and detection data can be transmitted through an interface and a data line for remote detection after the analyzer is started.

The present application relates to the technical field of acoustic wave detection, and more particularly to a method, system and device for converting acoustic wave remote detection data, the method comprising the following steps: S1, constructing a data format template; S2, obtaining acoustic wave remote detection data, which includes well name, data set name, depth value and total amplitude data, and storing the acoustic wave remote detection data in the data format template; S3, converting the total amplitude data into a plurality of single amplitude data, and storing all the converted single amplitude data in the data format template; S4, converting the acoustic wave remote detection data stored in the data format template by S2 and S3 into acoustic wave remote detection data in seismic data format; the present application improves the utilization degree of acoustic wave remote detection data.

The application discloses a real-time detection circuit and method for a voltage reduction circuit, and relates to the technical field of power supplies.The real-time detection circuit for the voltage reduction circuit comprises a voltage reduction module, a logic control module, a voltage sampling module, a differential amplification module, a digital-analog conversion module and a storage module.The application can monitor the output voltage in a starting state in real time without damaging a mainboard PCB and without destroying the whole system, so as to timely analyze and locate the power consumption of a later-stage chip, and the output current in the starting state can be obtained through calculation based on the voltage of the monitoring sampling port position, the current size can be detected without lifting one end of the inductor, the mainboard PCB and electronic components are not damaged, and the operation is convenient;the power supply current size of a certain component or chip can be detected remotely without disassembling the machine, and the application has good operability;the application can be monitored in real time, and has good timeliness.

The invention relates to the field of temperature sensors, in particular to an infrared temperature sensor self-checking mechanism. The device comprises a housing, an infrared temperature sensor, a self-checking assembly, a communication module and a central controller. The infrared temperature sensor is arranged on the shell, and the detection end of the infrared temperature sensor is located on the outer side of the shell. The self-checking assembly comprises a sleeve arranged on the shell, a heating cylinder arranged on the sleeve in a sliding mode, a heating assembly arranged on the inner side of the heating cylinder, and a driving assembly which is arranged in the shell and drives the heating cylinder to move upwards to block the outer side of the detection end of the infrared temperature sensor or move downwards from the outer side of the detection end. When the heating cylinder moves upwards to block the outer side of the detection end of the infrared temperature sensor, heat generated by the heating assembly is used for conducting self-inspection on the infrared temperature sensor, and when the heating cylinder moves downwards from the outer side of the detection end, self-inspection on the infrared temperature sensor is relieved. Whether the infrared temperature sensor is in a normal operation state can be remotely detected, manpower is saved, and the detection efficiency is high.

The application provides a kind of experimental determination method and system of moving target laser scattering matrix, belong to laser multi-dimensional perception technical field.This method is realized the measurement and analysis of large field of view multi-angle light scattering matrix by the experimental determination device of moving target laser scattering matrix based on phase-locked amplification technology, to further in-depth study the light scattering characteristics of moving target and the inversion of surface reflectivity, provide guidance and support for the development of moving target remote detection identification technology.

The application discloses a kind of water conservancy facilities remote detection systems based on cloud computing, it is related to water conservancy engineering technical field, the acceleration of acquisition water conservancy facilities preset node, water level condition data and water conservancy facilities quality parameter, the water level condition data is analyzed, obtains the dynamic water pressure matrix under preset water level working condition, according to the dynamic water pressure matrix calculation fluid additional mass parameter, acceleration is carried out spectrum analysis, extract fundamental frequency frequency, and calculate mode shape transfer rate, based on the fundamental frequency frequency, fluid additional mass parameter and water conservancy facilities quality parameter, calculate total stiffness parameter, based on mode shape transfer rate, obtain stiffness decoupling coefficient, total stiffness is decoupled as foundation restraint stiffness and structure intrinsic stiffness, according to structure intrinsic stiffness parameter and foundation restraint stiffness parameter, determine the physical damage state of structure ontology and foundation operating state, under complex working condition, the influence of decoupling fluid additional mass and foundation effect is improved structure health state identification accuracy.

A method of modifying a liquid sample containing an analyte so as to increase SERS signal intensity of the analyte is provided. The method of the present invention comprises the steps of: providing the liquid sample to be analyzed using SERS; and adding an oxygen scavenger to the liquid sample so as to remove dissolved oxygen from the liquid sample. A probe for remote sensing of an analyte in a liquid sample using SERS is also provided. The probe of the present invention comprises a detection chamber having a window that is transparent to SERS excitation light and Raman scattered signal, and tubing with a first and a second end, the first end of the tubing being flowably connected to the detection chamber and the second end of the tubing being configured to be placed in contact with a liquid sample.

The invention provides an oil and gas well overflow leakage detection method based on a transient pressure wave neighborhood difference value, which comprises the following steps: selecting key parameters to decompose time sequence data of overflow leakage diagnosis parameters according to well history data, and extracting h intrinsic mode functions on different time scales; discriminating and dividing the intrinsic mode function by using the Mahalanobis distance and the cumulative mean value; performing noise reduction operation on the at-IMF by using the optimized wavelet threshold combined denoising technology; excluding the dt-IMF, and selecting the al-IMF, the dl-IMF and the at-IMF subjected to denoising processing as the basis of signal reconstruction for reconstructing the signal; calculating and analyzing a reconstructed transient pressure wave neighborhood difference curve; and the specific position of well leakage is determined by analyzing the peak change of the neighborhood difference curve. The well leakage position is determined by processing and analyzing the change trend of the pressure wave signal difference during well leakage, the real-time performance, accuracy and comprehensiveness of a well leakage detection technology are considered, remote detection of the position of a well leakage layer is achieved, and the safety of petroleum drilling operation is improved.

The invention discloses an oil and gas identification method and device based on SH wave acoustic wave remote detection data, and the method comprises the steps: determining a propagation wave field corresponding to a target signal based on a left Ipritz equation; extracting a first operator and a second operator from the propagation wave field; constructing an inversion model of the target signal based on the first operator, the second operator and the oil and gas parameters; and solving the inversion model through an iterative reweighted least square method to obtain parameter values of the oil and gas parameters. According to the method, a first operator representing features on a time domain and a second operator representing features on a frequency domain are obtained based on a propagation reflection rule of SH wave acoustic wave far detection data, and an inversion model composed of the first operator, the second operator and oil and gas parameters is constructed in combination with a Bayesian method. Parameter values of the oil and gas parameters are obtained through calculation of the inversion model, and therefore effective identification of oil and gas distribution of the stratum around the well is achieved.

The application discloses a buried pressure pipeline intelligent detection device. The application comprises an overall test detection device, a data acquisition circuit and a later data transmission storage processing. The intelligent detection system generates a detection excitation signal under the command of periodical detection or remote detection, and an automatic measurement auxiliary circuit starts to work after receiving the detection excitation signal. A detection pile detects a pipeline to be detected and connects a voltage / current / resistance measurement circuit through a corresponding parameter interface to output the following pipeline information: parameters such as pipe ground potential, open circuit potential, AC / DC current and stray current. The output parameter information is transmitted to a processor through an analog-digital conversion circuit and transmitted to a PC through a wireless data transmission module by using a serial port protocol. Through the application, the measurement error caused by manual operation is reduced, and the problem that the detection result of the pipeline to be detected under complex working conditions is inaccurate in the related art by using a single method is solved.

The invention discloses an oil and gas identification method and device based on SV wave acoustic wave far detection data, and the method comprises the steps: obtaining a propagation reflection rule of a target signal in a well surrounding stratum through employing a left Ipritz equation under the condition that the geological structure of the well surrounding stratum meets the propagation condition of an SV wave; constructing an inversion model based on a propagation reflection rule; and solving the inversion model to obtain parameter values of the oil and gas parameters. According to the method, a first operator representing features on a time domain and a second operator representing features on a frequency domain are obtained based on a propagation reflection rule of SV wave acoustic wave far detection data, and an inversion model composed of the first operator, the second operator and oil and gas parameters is constructed in combination with a Bayesian method. Parameter values of the oil and gas parameters are obtained through calculation of the inversion model, and therefore effective identification of oil and gas distribution of the stratum around the well is achieved.

The application discloses a bridge detection video transmission method, device and equipment and a storage medium. The method comprises the following steps: acquiring video data collected by a UAV and disease identification data comprising information such as disease type, position and confidence; performing segmentation processing on the video data to obtain a plurality of segments, performing encapsulation processing on the segments and the disease identification data respectively, obtaining video stream data packets and disease identification data packets and transmitting the video stream data packets and the disease identification data packets; performing analysis and packet recombination on the video stream data packets to obtain recombined video frames, performing analysis on the disease identification data packets to determine boundaries to obtain identification results; performing time sequence synchronization calibration to obtain cooperative detection data, superimposing and rendering the disease information and the video frames to generate an enhanced video stream comprising a disease marking box, type text and a confidence identifier. The application improves the anti-packet loss capability and synchronization accuracy, constructs an end-to-end closed-loop transmission system, and effectively improves the accuracy and efficiency of bridge remote detection.

The invention provides a reservoir productivity prediction method and electronic equipment, and belongs to the technical field of petroleum geophysical exploration, and the method comprises the steps: calculating reservoir physical property parameters based on natural gamma logging information and interval transit time logging information; based on the electric imaging logging information, reservoir high-conductivity fracture parameters are calculated; calculating near-well far-end crack parameters based on acoustic remote detection logging information; and on the basis of the reservoir physical property parameters, the high-conductivity fracture parameters and the far-end fracture parameters, the comprehensive productivity logging index is constructed, the purpose of improving the reservoir productivity comprehensive prediction precision is achieved, operation is simple and rapid, and a basis is provided for reservoir gas testing layer selection, development and utilization.

The invention provides a directional sound wave-laser vibration measurement remote detection system and method for a tunnel lining cavity. The detection system comprises a directional sound wave excitation device, a laser vibration meter, a data processing unit and a supporting and positioning assembly, the method comprises the following steps: system layout and calibration, detection grid definition, collaborative excitation and scanning, and defect determination and imaging. According to the invention, remote and non-contact accurate detection of cavity defects in the tunnel lining can be realized, manual misjudgment is reduced, the detection efficiency is improved, and the coverage range is widened.

This application provides a method and electronic device for processing array acoustic remote detection signals for well collision prevention. The method includes: acquiring well logging physical parameters using logging equipment during well logging and transmitting detection acoustic waves towards a target area; acquiring multiple array acoustic waves obtained after reflection or scattering of the detection acoustic waves through formation interfaces within the target area; constructing a three-dimensional signal data volume in a preset three-dimensional spatial coordinate system based on the multiple array acoustic waves; determining a search range based on the well logging physical parameters; traversing the signal points in the three-dimensional signal data volume, and for each signal point, determining at least one cluster based on the number of all signal points within the search range centered on the signal point; selecting a cluster whose shape satisfies a preset shape from the signal points in the at least one cluster as the target cluster; and determining the location of adjacent wells based on the three-dimensional spatial coordinates of the signal points in the target cluster. This application can improve the accuracy of adjacent well identification.

The invention discloses a horizontal drilling sound wave remote detection method and device capable of distinguishing directions, and relates to the field of sound wave remote detection.The horizontal drilling sound wave remote detection method comprises the steps that a sound wave emitting module is controlled to emit a sound wave signal; the sound wave receiving module is controlled to receive the returned sound wave signal, and the sound wave azimuth angle is obtained through the gyroscope; and based on the returned sound wave signal and the sound wave azimuth angle, obtaining an azimuth reflection wave signal: processing the azimuth reflection wave signal to obtain an azimuth imaging profile. The horizontal drilling sound wave remote detection method provided by the invention can realize the purpose of directional detection, and the detection precision is high.

Disclosed are a method and system for detecting an object in a remote detection image. The method for detecting an object according to an embodiment comprises the steps of: loading a pre-trained you only look once (YOLO) model according to a hyperparameter tuned on the basis of a squirrel search algorithm (SSA); receiving an image for object detection; and providing information about an object included in the image and output from the YOLO model by inputting the image to the YOLO model.

The invention discloses a remote detection method for soot blowing system pipe structure defects, and relates to the technical field of thermal equipment detection. The problems that in the prior art, detection needs to be stopped, real-time monitoring cannot be achieved, and defect information is not visually presented can be at least partially solved. The method comprises the following steps: deploying an electromagnetic ultrasonic guided wave sensor array around a welding seam to perform signal excitation and synchronous acquisition; performing dual noise reduction processing by adopting synchronous average and wavelet transform to extract defect signals; constructing a space model to position defects based on the signal arrival time difference; and generating a defect image by utilizing C-scanning imaging and performing quantitative evaluation. According to the invention, on-line remote detection without shutdown is realized, the signal-to-noise ratio is obviously improved through dual noise reduction, accurate positioning and visual display of defects are realized by combining time difference analysis and C scanning imaging, and safe operation of a unit is guaranteed.