255 results about "Remote detection" patented technology

The invention discloses an electric vehicle charging pile fault remote detection method and device, electronic equipment and a medium, and relates to the technical field of computers. The method comprises the following steps: determining an associated charging pile set in a target area, wherein the associated charging pile set and a current charging pile belong to the same power system; acquiring first operation data of the current charging pile and second operation data corresponding to each associated charging pile in the associated charging pile set; calculating a fault evaluation value corresponding to each fault evaluation index of the current charging pile according to the first operation data and each second operation data; calculating a real-time score corresponding to the current charging pile according to each fault evaluation value and different weights corresponding to each fault evaluation index; obtaining historical operation data of the target charging pile set, and calculating a fault score threshold value of the fault charging pile according to the historical operation data; and comparing the real-time score with a fault score threshold value, and determining whether the current charging pile has a fault or not. The fault detection efficiency of the charging pile can be improved.

The invention discloses a foreign matter detection method and system based on millimeter wave radar three-dimensional point cloud imaging, and the method comprises the steps: carrying out the Fourier transform of a distance dimension and a speed dimension, achieving the coherent accumulation, and effectively improving the signal energy; incoherent accumulation is achieved by means of a multi-channel technology, target information is extracted by applying a two-dimensional CFAR algorithm, so that the anti-interference capability in the recognition process is enhanced, the problem that clutter and noise interference in the environment is extremely serious is effectively solved, the detection precision is improved, meanwhile, a clustering algorithm and multi-frame point cloud data fusion are combined to solve the point cloud data sparsification problem, and the detection accuracy is improved. An overfitting phenomenon occurring when a classification algorithm model is directly used is prevented, the efficiency of target feature extraction is improved, and remote detection is broken through.

The invention belongs to the technical field of cable detection, and particularly relates to a remote detection deeply-buried cable system based on cloud service. Comprising a transmitter and a receiver, the transmitter comprises a data marking module and a multi-SIM card management module, and the data marking module generates a unique identifier containing a timestamp, a device ID and a geographic coordinate hash value for each piece of detection data; the multi-SIM card management module is switched among SIM cards of multiple operators to maintain communication continuity; the receiver comprises an edge preprocessing module, a conflict pre-resolution module and a local storage and forwarding module, and the edge preprocessing module filters repeated data through a unique identifier; the conflict pre-resolution module combines multi-device data conflicts according to timestamps and signal strength weights; the local storage and forwarding module manages a data uploading time sequence through an annular buffer area and a priority queue; according to the invention, data recording and conflicts can be avoided when the cable detector transmits and stores data through cloud service.

A remote inspection vehicle for inspecting a plant for early drought stress and a neural network model for calculating a score corresponding to a level of early drought stress in the plant. The inspection vehicle may be equipped with an inspection camera having a radiometric infrared sensor and a red, green, and blue light sensor to capture plant images. Image data from the inspection vehicle, as well as soil moisture and calculated CWSI scores, can be used to train the neural network model, deriving weights and biases therefrom using a plurality of neural network layers. Using a plant canopy temperature value, a red raster value, a green raster value, a blue raster value, and a soil moisture value, the trained neural network model can generate a score which can be used to assess the level of early drought stress in a plant.

The invention discloses a while-drilling transient electromagnetic remote detection system and method based on ground electrical source excitation. The system comprises a ground grounding electrical source transmitting module, an underground while-drilling three-component receiving module and a data fusion processing module. The underground while-drilling three-component receiving module can perform full-time three-component magnetic field signal acquisition and keep the spatial consistency of measured data; according to the mining area geologic structure, terrain and interference source distribution, emission source parameters, underground drilling positions and a ground well observation network are designed, a ground electric line source continuously excites a transient electromagnetic field, and the ground well observation network and a while-drilling three-component receiving system conduct full-time collection on electromagnetic response and synchronously transmit the electromagnetic response to a ground work station through optical fibers. And the workstation performs terrain static correction and signal preprocessing on the received signal, and realizes accurate detection of the Ordovician limestone aquifer, integrity evaluation of the grouting curtain and dynamic monitoring of the mining-induced fissure zone by fusing ground-roadway-drilling multi-source data.

The invention provides a resistivity imaging method and a resistivity imaging device based on remote detection electromagnetic wave logging, which are used for realizing rapid imaging of a medium around a shaft and providing a basis for drilling guidance and stratum evaluation. Comprising the steps of obtaining a remote detection electromagnetic wave logging response measured value of a target well section; segmenting the response measured value, dispersing the stratum corresponding to the segmented response measured value into an initial grid, and obtaining a corresponding network topology structure; constructing an apparent resistivity model based on the stratum prior information of the target well section; selecting a discrete wave number, and obtaining a wave number domain far exploration electromagnetic wave logging response corresponding to the resistivity grid model; obtaining a posterior error, and judging whether the posterior error is smaller than a first threshold value or not; if yes, obtaining a remote detection electromagnetic wave logging response simulation value based on a wavenumber domain remote detection electromagnetic wave logging response; obtaining a data fitting difference based on the remote detection electromagnetic wave logging response simulation value and the remote detection electromagnetic wave logging response actual measurement value; judging whether the data fitting difference is smaller than a second threshold value or not; and if yes, outputting a network topology structure and a resistivity model.

The invention discloses a remote detection method and device for false wiring of a three-phase four-wire electric energy meter, and the method comprises the steps: collecting electric energy meter data corresponding to a target electric energy meter in a remote transparent reading manner when a remote detection request for false wiring corresponding to the target electric energy meter of three-phase four-wire wiring is received; determining a plurality of reference electric energy meters based on the target electric energy meter and collecting electric energy meter data corresponding to all the reference electric energy meters; determining a first detection parameter corresponding to the target electric energy meter based on the electric energy meter data corresponding to the target electric energy meter and the electric energy meter data corresponding to all the reference electric energy meters; and determining a wiring detection result corresponding to the target electric energy meter based on the first detection parameter corresponding to the target electric energy meter. Therefore, the method can determine the first detection parameter of the target electric energy meter based on the target electric energy meter and the electric energy meter data corresponding to the reference electric energy meter, thereby determining the wiring detection result, and facilitating the improvement of the remote detection accuracy and efficiency of the wrong wiring of the three-phase four-wire electric energy meter.

The invention provides an azimuth transverse wave remote detection data processing method, system and device and a medium. The method comprises the steps that an instrument is adopted to collect novel four-component transverse wave data (xx, xy, yx and yy) of a target well section; under a coordinate system (x, y) of the instrument, synthesizing an XX reflected wave signal with an angle defined relative to the x-axis direction of the instrument by using the orthogonal dipole four-component reflected signal, and defining the XX reflected wave signal as an angle when the reflected wave signal reaches the maximum amplitude; obtaining two cross component signals xy and yx by using novel four-component shear wave data (xx, xy, yx and yy), performing sliding windowing on the cross component signals xy and yx, performing Fourier transform on the signals in the window to obtain phase spectrums, and comparing the phase spectrums of the two cross component signals to obtain an actual phase difference; according to a novel four-component data combination mode, changing the orientation of the reflector, theoretically calculating the theoretical phase difference between the two cross component signals xy and yx, and establishing a rule chart of the cross component signals along with the orientation change of the reflector outside the well based on the theoretical phase difference; and judging the real azimuth angle of the reflector according to the rule plate.

The invention relates to the field of data processing, in particular to a remote detection method and system for an electric energy meter, and the method comprises the steps: obtaining the operation data of the electric energy meter, carrying out the window division of the operation data according to a time sequence through a variational mode decomposition algorithm, obtaining a comprehensive frequency distribution curve of the operation data in a window, and generating a time-frequency diagram; the method comprises the steps of performing peak point detection based on a time-frequency diagram, determining a main frequency peak point and an interference peak point, calculating a harmonic interference degree value of the frequency of electric energy meter data based on distribution characteristics between the main frequency peak point and the interference peak point, and using change consistency and frequency amplitude of the interference degree value to calculate an abnormal degree value of an intelligent voltmeter. And the abnormal condition of the electric energy meter is judged. According to the method, the change consistency of data of different dimensions is calculated, so that single-dimension noise interference is suppressed, and the reliability of abnormal criteria is improved.

The invention discloses a quantitative characterization method for micro-crack spatial distribution of a tight oil reservoir based on acoustic remote exploration, and relates to the technical field of tight oil reservoir exploration, and the quantitative characterization method comprises the following steps: acquiring inter-well and in-well original acoustic logging data and fracturing response data, and preprocessing; based on the preprocessed original acoustic logging data, detecting a harmonic component in a reflection signal through a multi-frequency superposition excitation signal, and calculating a harmonic energy ratio of a depth horizon by using a harmonic component result; based on the harmonic energy ratio of the depth horizon, a crack sensitivity index is extracted, and a micro-crack development area is identified; and based on the micro-fracture development area and the processed original acoustic logging data, constructing a fracture network model to obtain spatial distribution information of the micro-fractures. According to the method, on the basis of the preprocessed original acoustic logging data, the harmonic components in the reflected signals are detected through the multi-frequency superposition excitation signals, and high-precision detection of the formation micro-cracks is achieved.

An intelligent robot for long-distance detection in a drainage deep tunnel includes a tunnel pipe, a cleaning unit and a pushing unit. The cleaning unit includes a conduction assembly for conducting a blocked part of the tunnel pipe, a cleaning assembly located on one side of the conduction assembly and used for cleaning the conducted tunnel pipe, and a drive assembly arranged on one side of the cleaning assembly and used for synchronously driving the cleaning assembly and the conduction assembly to rotate; and the pushing unit is arranged on one side of the cleaning unit, and used for pushing the cleaning unit to move forwards along an interior of the tunnel pipe. When a traction rod moves from the middle to the corner of a ring slot, a regulating spring pushes an extending and retracting shaft to move outwards along second guide cylinders.

The embodiment of the invention relates to the technical field of vehicles, and discloses an in-vehicle article detection method and a vehicle, the method comprises the following steps: receiving a query request sent by a client, the query request being used for querying a target article; in response to the query request, calling an in-vehicle camera to shoot an in-vehicle image, and identifying articles in an open area in the vehicle through the in-vehicle image to obtain a first article detection result; article attribute information of a hidden area is obtained in response to the query request, a second article detection result is speculated through the article attribute information, and the article attribute information is obtained through scanning of a hidden area sensor; and sending the first article detection result and the second article detection result to the client. By applying the technical scheme of the invention, the accuracy of remotely detecting the articles in the vehicle can be improved.

The invention provides a multifunctional self-adaptive reservoir and river channel combined desilting device which comprises a floating island device, a detection mechanism and a suction mechanism, the detection mechanism is connected to the floating island device, located underwater and used for detecting the silting position, and the suction mechanism is used for sucking sludge into the floating island device; the floating island device comprises a floating island box, a buoyancy bottom plate and a compression mechanism, the bottom of the floating island box is connected with the buoyancy bottom plate, the compression mechanism used for compressing sludge is arranged in the floating island box, the side wall of the floating island box is communicated with a sludge discharge port of the suction mechanism, and a plurality of overflow ports are formed in the side wall of the floating island box. The device is scientific and reasonable in structural design, the combined split design is adopted, the dredging strategy is adjusted through a remote detection control mode, the dredging efficiency is optimized, dredging is more reasonable, energy charging is easy, convenient and reliable, stability is high, and application and popularization can be achieved.

An acoustic remote detection device and detection method suitable for a horizontal borehole. The detection method comprises: first, acquiring a reflected acoustic signal; subsequently, using a signal preprocessing module to process the reflected acoustic signal to obtain a sequence of reflected acoustic signal segments; then, performing waveform feature extraction on the sequence of the reflected acoustic signal segments to obtain a sequence of reflected acoustic signal segment waveform feature vectors; next, using a positional encoding and self-correlation highlighting module to process the sequence of the reflected acoustic signal segment waveform feature vectors to obtain an important content-highlighted reflected acoustic signal waveform feature vector; and finally, determining an identification result of a geological body on the basis of the important content-highlighted reflected acoustic signal waveform feature vector.

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.

Methods and systems are disclosed for collecting EMG speech signals using a speech signal detection device. The methods and systems collect, by a speech signal detection device worn by a first person, a combination of signals comprising electromyograph (EMG) data signals and one or more non-EMG data signals. The methods and systems process the combination of signals by a machine learning (ML) model to detect presence of a second person, the ML model trained to establish a relationship between training signals comprising training EMG data signals and training non-EMG data signals and ground-truth presence of people data. The methods and systems control operation of the speech signal detection device being worn by the first person in response to detecting the presence of the second person.

The invention relates to the technical field of automobile remote detection, in particular to an automobile remote detection method. In a vehicle networking module, a power supply state monitoring unit captures a bus voltage fluctuation waveform of a vehicle-mounted power supply, a ripple coefficient of a power supply line of a sensor and a transient working current response curve of a key electronic component in real time, and a three-dimensional power supply quality evaluation model is established based on the data to generate a power supply stability index; when the vehicle operation data is transmitted, the index is synchronously packaged; after the cloud platform receives the data, the power supply perception data fusion module realizes data space-time alignment, dynamic denoising of the self-adaptive filtering module, parallel operation of the reference and the elastic fault tree by the dual-mode fault judgment module and confidence comparison, and early warning is triggered only when the two fault trees report the same fault code; the problems of data deviation and false fault misjudgment caused by the fact that dynamic power supply fluctuation is not considered in the prior art are effectively solved.

The invention discloses a multi-view 3D target detection method and system for a long-distance target, and belongs to the field of computer vision and image data processing. The method comprises the following steps: inputting a multi-view image into a backbone network to extract image features; enhancing the features of the central region according to the image features, and capturing context information between long-distance pixels; generating a false query of a long-distance target through a remote detection denoising module; and decoding the false query of the long-distance target and the characteristics of the central area, and carrying out loss calculation through a detection head to complete detection. The system comprises a feature extraction module, a long-distance feature module, a remote detection denoising module and a decoder module. According to the method, the accuracy of long-distance object detection is improved by generating three-dimensional query by utilizing false depth information, the stability is better in a complex real world environment, and the method has better target detection accuracy.

The invention provides a method for processing and imaging sound wave remote detection data in a well, and belongs to the field of oil-gas exploration. The method comprises the following steps of: firstly, evaluating full wave train data by adopting an energy statistical method, eliminating data with problems, and recovering damaged data by utilizing a POCS interpolation method; then, completing reflection wave extraction based on polarization characteristics of direct waves and reflection waves, and performing optimization through multi-stage filtering processing and amplitude restoration; and then, optimizing a speed extraction method in dynamic correction by using a competition-cooperation particle swarm algorithm, and providing an accurate stacking speed for common sound source gather stacking. And finally, utilizing a frequency-wavenumber domain migration method to realize well-side fracture cavity imaging. According to the method, through an innovative data processing algorithm and flow optimization, imaging of the well-side fracture-cavity body is achieved, and a reliable technical means is provided for oil-gas exploration of a complex reservoir.

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 invention discloses an electric power meter with a long-distance detection function, and relates to the technical field of electric power meter detection.The electric power meter comprises a meter assembly of a rectangular frame structure, a display screen is arranged on the outer surface of the meter assembly, and a telescopic support is fixedly connected to the bottom end of the meter assembly; a plurality of communication interfaces are fixedly connected to the outer wall of the side, close to the display screen, of the instrument assembly, plugs are arranged on the outer walls of the ends, away from the instrument assembly, of the communication interfaces, and external power lines are fixedly connected to the outer walls of the ends, away from the communication interfaces, of the plugs; an active wiring safety mechanism is arranged on the outer wall of the communication interface, a follow-up wire arrangement mechanism is arranged on the outer wall of the side, close to the instrument assembly, of the communication interface, and an opening and closing protection mechanism is arranged on the upper surface of the instrument assembly. The active wiring safety mechanism can ensure that the plug is firmly connected to the instrument assembly, thereby preventing short circuit caused by accidental loosening or falling off.

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 application discloses a kind of based on semiconductor laser radar aircraft remote detection method and system, it is related to semiconductor laser radar technical field.The method includes: constructing multiple coupling semiconductor laser emitter and distributed semiconductor laser radar system, based on remote detection task construction laser beam emission parameter intelligent adjustment model and emit laser beam, collect target reflected laser signal and extract target key feature information, to target key feature information is fused to generate the semiconductor laser radar remote detection information of aircraft and it is fused with sensor remote detection data to generate remote detection information, real-time monitoring the power usage state of distributed semiconductor laser radar system and adjusting power distribution situation.The present application can realize seamless coverage to 360 degrees around aircraft, eliminate the blind area problem of traditional single radar detection, and multiple coupling semiconductor laser emitter can provide high-power, high-stability laser emitter for semiconductor laser radar.

The present invention discloses a method for rapidly calculating the response of remotely detected while-drilling electromagnetic wave logging in complex formation structures, relating to the field of electrical logging technology for oil exploration and development. The method comprises the following steps: establishing a two-dimensional heterogeneous isotropic geological model of the complex formation structure; using a regional rapid and precise description method to divide the formation into a collection of triangular units and assign resistivity values; determining the calculation region through adaptive thresholding, segmenting the x and z directions, and sequentially assigning resistivity values ​​to the calculation region grids according to the segmentation points to generate a calculation model; obtaining a large sparse matrix linear equation system; solving the equation system using a hybrid solver to obtain the distribution of the spectral domain field; calculating the integral of the spectral domain field with wave number according to the inverse Fourier transform formula to obtain the spatial domain distribution of the electromagnetic field; and moving each logging point to obtain the while-drilling electromagnetic wave logging response curve for the complex formation environment. The present invention can effectively and rapidly calculate the electromagnetic field response of complex two-dimensional formations, improving the algorithm's adaptability and calculation speed.

A hydrogen near-infrared absorption remote monitoring optimized light path and signal processing system adopts improved near-infrared absorption signals and established scale space pyramids, can perform grid division on the pyramid of each layer of signals so as to increase space scale information, and can eliminate signal errors by using improved optimized light path angular point extraction. The method can overcome the defects that when a traditional near-infrared absorption signal is used for carrying out feature point detection and extraction on a to-be-processed signal, the distribution uniformity degree of extracted feature points is poor, and a feature point aggregation phenomenon occurs in a certain area in the signal, can prevent monitoring errors, and improves the detection accuracy of the to-be-processed signal. The device has the advantages of being non-contact, capable of achieving remote detection and high in reliability and safety.

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 present invention relates to an aggregation-induced luminescence dust suppressant based on thiazolothiazole-bridged imidazole, belonging to the technical field of dust suppressants. The compound is represented by the following formula I: wherein R is selected from H, CH3 or CH3(CH2) n , n is 1 to 17; X is selected from Cl, Br, I, F, CH3COO, CF3COO, CF3SO2, (CF3SO2)N, SbF6, BF4, B(C6F6)4, or C4F9. The present invention uses an aggregation-induced luminescence dust suppressant based on thiazolothiazole-bridged imidazole as a dust suppressant for railway coal transportation and sprays it on the coal surface. The luminescent material in the dust suppressant can emit fluorescence under ultraviolet light, achieving long-distance visibility to the naked eye. It also exhibits good water solubility and biocompatibility, a high boiling point, high luminescence intensity, no metal ions, low toxicity, simple synthesis, and low price. It can be well applied in railway coal transportation and achieve remote detection.

The invention discloses a remote detection system for oil and gas leakage alarm, which relates to the technical field of oil and gas leakage alarm, and comprises a flow field stable core area acquisition module, an area filling degree acquisition module, a form distortion degree acquisition module and an abnormal partition judgment module. Comparing the real-time parameter with the reference parameter to obtain a filling deviation and a form deviation; whether leakage exists or not is judged by combining the two indexes of the regional filling degree and the form distortion degree, and misinformation caused by fluctuation of a single parameter is avoided; meanwhile, through partition detection, a leakage area can be accurately positioned, and clear guidance is provided for subsequent maintenance; the early-stage tiny leakage can be detected, the detection sensitivity is improved, meanwhile, the response speed of the early-stage leakage is remarkably improved, leakage is found in time, measures are taken, losses are reduced, safety accidents caused by oil and gas leakage are effectively avoided, safety risks are reduced, and safe and stable operation of oil and gas transmission is guaranteed.

The invention belongs to the technical field of reinforcing steel bar detection, and particularly relates to a reinforced concrete structure corrosion remote detection device which comprises a reinforcing steel bar corrosion quantitative detector, a supporting frame is installed at the top end of the reinforcing steel bar corrosion quantitative detector, and an X-ray emitter and an X-ray detector are arranged on the two sides of the reinforcing steel bar corrosion quantitative detector respectively. A mounting base is mounted in the middle of the supporting frame. By installing the X-ray emitter and the X-ray detector on the quantitative detector for steel bar corrosion, the X-ray emitter on the quantitative detector for steel bar corrosion can emit X-rays, the X-rays are emitted to the surface of a steel bar in concrete, then the X-ray detector captures rays penetrating through the steel bar, and a visual image is formed on the display. And an image is transmitted to a remote control center through a signal antenna, so that the corrosion of the reinforcing steel bar in the reinforced concrete can be quickly and effectively detected remotely, manual detection is not needed, and the accuracy and convenience of the device during detection are improved.